Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-19T03:31:24.354Z Has data issue: false hasContentIssue false

The Cost of Wrongdoing to Bystander Firms

Published online by Cambridge University Press:  11 May 2023

Minjung Lee
Affiliation:
University of Texas at Dallas, Richardson, TX, 75080 USA
Mina Lee*
Affiliation:
Xavier University, Management and Entrepreneurship, Management and Entrepreneurship, Cincinnati, OH 45207, USA
Seung-Hyun Lee
Affiliation:
University of Texas at Dallas, Richardson, TX, 75080 USA
*
Corresponding author: Mina Lee, email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

We argue that a taken-for-granted category gives way to a new category when strategic behavior becomes stigmatized. As a result, even bystander firms that have engaged in similar strategic behavior, such as lobbying, will be penalized by their association with the culpable strategic behavior. The extent of their association with the culpable behavior will determine the level of punishment they receive. However, if a trustworthy third party administers a corrective measure, the affected firms can regain their lost legitimacy. The extent of their restoration is proportional to the amount of legitimacy that was lost. We provide empirical evidence for this argument by analyzing the Jack Abramoff case, one of the most notorious corrupt lobbying cases in US history. We find that bystander firms were penalized by shareholders when the corrupt lobbying was revealed. Furthermore, the penalty was more severe for bystander firms that engaged in more lobbying activities and hired more revolving-door lobbyists. We also find that the subsequent legal remedy helped the bystander firms that were penalized the most to recover the most from their losses. We confirm the theoretical notion using the Enron case as well.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of V.K. Aggarwal

Introduction

Former lobbyist Jack Abramoff's guilty plea on 3 January 2006, is supposedly the most serious example of a lobbying corruption scandal in US history. This unprecedented scandal raised serious concerns over the use of lobbyists. It also stigmatized other firms that engaged in lobbying. Before the Abramoff scandal, the lobbying industry had grown by 8 percent on average during the previous eight years. In 2006, the year of the Abramoff scandal, the lobbying industry showed a growth rate of 1.7 percent. Abramoff's scandal left a prominent scar on the lobbying industry and firms engaged in lobbying.

According to expectancy violation theory, social disapproval of culpable firms leads people to reappraise their prior expectations of these firms. Shareholders may believe that some business operations are violating broader social norms.Footnote 1 Moreover, firms sharing similarities with culpable firms also experience negative spillover.Footnote 2 Even though these bystander firms were not convicted in court, they were nevertheless stigmatized by shareholders.

How, then, do stigmatized bystander firms recover their legitimacy? The memory of an illegal wrongdoing stays in people's minds for quite some time. In this situation, even though firms may launch a variety of firm-initiated antidotes, the proposed remedies have severe limitations in integrity violation cases.Footnote 3 In this situation, institutional remedies that increase transparency can effectively mitigate such concerns. At a time of vulnerability, credible third-party involvement can effectively recover a firm's lost legitimacy.Footnote 4 Institutional remedies that curtail the downside risk associated with culpable behavior can significantly increase the firm's transparency and credibility.

To test our hypotheses, we use two events around the Abramoff scandal. First, we examine shareholders’ reactions to the negative spillover of stigmatization using the guilty plea of the notorious lobbyist Jack Abramoff in 2006. Second, we show how an institutional remedy works as a legitimacy-restoring device by introducing the Honest Leadership and Open Government Act (HLOGA) of 2007.

We use firms’ stock performance to explore shareholders’ reactions. Previous literature has focused on shareholders’ reactions to schema-relevant information,Footnote 5 as stock performance is one of the most important performance indicators. Along these lines, we focus on shareholders’ reactions in our study.

Focusing on S&P 500 firms from 2000 to 2007, we find that shareholders penalized firms that engaged in lobbying. Among firms that lobbied, those bystander firms with supposedly more dubious connections (such as those that had revolving-door lobbyists) were punished more. We contribute to the literature by showing how expectancy violation can be restored by an institutional remedy. We find that the firms that received more penalties enjoyed more favorable reactions from shareholders following the announcement of a legal remedy, given that a third-party remedy helped restore their legitimacy. We also find that firms with more revolving-door lobbyists experienced additional legitimacy restoration and credit from their shareholders.

The remainder of this article proceed as follows: We first introduce our empirical context. Next, we discuss categorization theory and expectancy violation theory. Then, we develop our theoretical arguments, which explain negative spillover to bystander firms and their potential to regain credibility. Then, we establish the hypotheses tested in our study. Next, we specify how we test our hypotheses and explain our results. In the empirical section, we introduce another study to test our hypotheses, focusing on the Enron scandal and the Sarbanes-Oxley Act. Finally, we discuss our findings and limitations of the study.

Context

Lobbying is a nonmarket strategy in which “a concerted pattern of actions taken in the nonmarket environment [creates] value by improving its overall performance.”Footnote 6 Overall firm performance is determined by the social and political context of the environment.Footnote 7 Scholars have considered nonmarket strategies as critical strategic behaviorsFootnote 8 and have largely examined the positive effect of nonmarket strategies on firms.Footnote 9 By the 2000s, nonmarket strategies had become recognized as a wide field of research.Footnote 10 Nonmarket strategies are divided into strategic corporate social responsibility and corporate political activity (CPA).Footnote 11 Specific CPA strategies include participation in trade associations, testimony before Congress, campaign contributions, donations, participation in political action committees (PACs), and lobbying.Footnote 12

Along the lines of corporate political activity research, past studies in lobbying have found that lobbying activities in many countries, including the United States and the United Kingdom, have led to positive performance outcomes, such as more government contractsFootnote 13 or less litigation.Footnote 14 Mostly, lobbying studies have argued that lobbying can “buffer” regulations and “bridge” firms with lawmakers.Footnote 15 By buffering, these firms can shape public policy,Footnote 16 decrease regulation,Footnote 17 and bargain with lawmakers.Footnote 18 Generally speaking, shareholders want to see increased firm performance by engaging in strategies, whether they are market or nonmarket strategies. It is no surprise that the stock market reacts favorably to firms’ lobbying activities. For example, using event study methodology, Brodmann, Unsal, and Hassan found that firms that invested in lobbying expenditures gained higher cumulative abnormal returns before the announcement of firm-sponsored bills that passed in the US Congress.Footnote 19 They used the events of 2,554 bills passing in the US Senate and House of Representatives.

Similarly, Hassan, Unsal, and Hippler confirmed that shareholders showed favorable stock reactions on the date of a firm's class-action announcement when the firm engaged in lobbying.Footnote 20 Their finding illustrates shareholders’ belief that lobbying boosts firm value. Primarily, studies involving shareholders’ reactions to firm lobbying have investigated shareholders’ positive reactions.

However, on 3 January 2006, one of the most calamitous events in the US lobby industry took place. The former lobbyist Jack Abramoff was found guilty of corrupting government officials in the United States. He was a lobbyist for Native American tribes seeking to develop casino facilities on their reservations. Birnbaum and Balz described this corrupt lobbying case as “the biggest corruption scandal to infect Congress in a generation.”Footnote 21 It is unsurprising that “as a condition of the plea, Abramoff provided evidence that led to the conviction of more than 20 elected representatives, congressional staff, and executive branch officials.”Footnote 22

After Abramoff pled guilty in court in 2006, many politicians, including Senator Barack Obama, collectively argued that more transparency was necessary to prevent corrupt lobbying. It was generally agreed that the 1995 Lobbying Disclosure Act (LDA) was not enough to block corrupt lobbying activities. The required information disclosure on lobbying in the 1995 LDA was insufficient in providing enough transparency. The 1995 LDA also lacked sufficient regulations on revolving-door lobbyists, a considerable source of opacity in lobbying. In response to the call for a stricter law, the Honest Leadership and Open Government Act was introduced in 2007. In addition to higher requirements for preparing lobbying reports, HLOGA required a one-year ban that would forbid revolving-door lobbyists from contacting former colleagues in the government.Footnote 23 HLOGA was finally enacted on 14 September 2007.

Leveraging Abramoff's lobbying scandal, Borisov, Goldman, and Gupta found that lobbying firms receive more hostile reactions from their shareholders when a catastrophic scandal occurs.Footnote 24 Furthermore, these reactions worsen if firms use a higher percentage of revolving-door lobbyists. Their study sheds light on the negative responses of shareholders to a firm's lobbying activities. However, even though this study made considerable contributions to the lobbying literature, it did not capture the same shareholders’ flipped responses when the government introduced stricter rules on lobbying. Thus, in this article, we broaden previous studies on shareholders’ responses to lobbying using two events—one negative and one positive.

Previous scholars have documented that regulatory reforms influence shareholder value positively. Using an event study, Lin et al. reported that the announcement of anticorruption reforms in China in 2012 increased shareholder value.Footnote 25 Interestingly, the firms that bribed less before the regulation reforms benefited more from the legal remedy. Where market institutions were more developed, anticorruption reforms increased shareholder value more, and broken political connections mattered less.

A similar event study in IndiaFootnote 26 showed that regulatory reforms concerning corporate governance increased shareholder value for firms in India. Clause 49, proposed in 1999, requires public firms to be more transparent. To do so, these public firms must implement “audit committees, a minimum number of independent directors, and CEO/CFO certification of financial statements and internal controls.”Footnote 27

Not all regulatory reforms, however, have increased shareholder value. In the United States, the impacts of the Sarbanes-Oxley Act on shareholder value have been negative.Footnote 28 Upon the introduction of the Sarbanes-Oxley Act, firms cross-listed on the stock market experienced a decrease in shareholder value, indicating that the stock market expected high-disclosing firms to experience more costs because of an increased regulatory burden. In addition, firms from countries with more transparent corporate governance than the United States suffered more, suggesting that shareholders may consider such oversight as “regulatory overkill.”Footnote 29

Theory Development

Integrity violations happen when a person or an organization does not comply with social norms. Past research has found that integrity violations elicit an exaggerated response and are punished excessively.Footnote 30 Unlike capability failures, integrity failures lead people to be concerned about the motivation behind the wrongdoing.Footnote 31 According to Connelly et al., an integrity failure refers to “a specific situation wherein the firm's motives, honesty, and/or character fall short.”Footnote 32 Violating moral expectations is much costlier than violating capability (ability to execute) expectations.Footnote 33 For example, when Arthur Andersen was caught in an integrity expectation violation, regardless of the firm's capabilities, the stock market penalized its clients. As a result, the maximum penalty is levied on the culpable firm when illegal activity is revealed.Footnote 34

At the same time, people categorize the social world by classifying “social space into groupings of actors or objects with similar characteristics, and such groupings facilitate social actors’ schematic processing and sensemaking of the world around them.”Footnote 35 By classifying social space in this manner, “categories provide a cognitive infrastructure that enables evaluations of organizations and their products, drives expectations, and leads to material and symbolic exchanges.”Footnote 36 Thus, this categorization helps people reduce their information-processing needs.Footnote 37

Taken together, expectancy violation theory and category theory suggest that people expect firms to behave in compliance with social norms. Violating this expectation is very costly for firms. However, the penalty attached to an expectancy violation is not limited to culpable firms; it also spills over to bystanders that share similar characteristics with the culpable firms. At the time of the expectancy violation and the spillover of a bad reputation, bystander firms can hardly prove that they are not culpable.

Many studies on negative spillover focus on specific industries and show how a focal firm's wrongdoing can affect other firms in the same industry.Footnote 38 This approach makes sense, given that shareholders categorize firms with similar characteristics to lessen their cognitive burden in understanding firms, such as using the industry as an easy-to-recognize category.Footnote 39 Roehm and Tybout used an experiment to show that a negative spillover happened within the same product category when a scandal involved commonalities between the brand and its competitor. In other words, a hamburger scandal at Hardee's would generate negative spillover effects to Burger King.Footnote 40 In addition, Volkswagen's emissions scandal negatively spilled over to its industry rivals (e.g., Ford and BMW).Footnote 41

Interestingly, scholars have increasingly spotted the phenomenon that a spillover could happen across industry boundaries as well. Aranda, Conti, and Wezel reported that the legalization of marijuana generated positive spillover effects to the alcohol industry.Footnote 42 Given that marijuana has medical benefits, alcohol has been purported to be “safe and even beneficial for health.”Footnote 43 The legalization of marijuana led the public to reconsider the vilified image of the alcohol industry. If positive spillover can happen across industries, the same could be true for negative spillover. When does a spillover happen across industries? When the strategic behavior associated with the catastrophic event encompasses many industries, the stigmatization associated with such strategic behavior works as a category setter. Moreover, the firms exhibiting similar strategic behavior will be classified as a stigmatized category, differentiating themselves from firms that do not exhibit similar strategic behavior. This phenomenon is considered “stigma by association.”Footnote 44 For this reason, scholars suggest that stigma can be “a vilifying label that contaminates a group of similar peers.”Footnote 45

Ocasio argues that what “the decision-makers focus on, and what they do, depends on the particular context in the situation they find themselves in (Situated Attention).”Footnote 46 Andrews et al. further explain that “individuals are rational but have limited attentional capacity, which influences their situational assessment and forms subsequent action.”Footnote 47 How does a society recognize an external event that influences situated attention? With a critical event, investors and people may realize the political activities of each firm in which they invested. The public will begin its situational assessment once a corrupt scandal is debunked. At times, public attention can even trigger institutional transformation.Footnote 48 Observers, including shareholders, begin to pay attention to newly emerging information about firms once a rare crisis happens.Footnote 49 In the case of corrupt lobbying scandals, the newly highlighted information includes the firm's previous political activities and the possibility of engaging in unethical lobbying. The level of relatedness to the scandal (e.g., the level of engagement in lobbying and the ratio of hiring revolving-door lobbyists) can provide new evaluative tools for shareholders.

Consequently, lobbying works as a category setter when a strategic behavior is shared with other firms. For example, Dixon-Fowler, Ellstrand, and Johnson found that female CEO appointments decreased other female-led firms’ share prices by approximately 0.58 percent.Footnote 50 The emergence of attribution due to the categorization of all female CEOs taints the image of bystanders with female CEOs, leading to deteriorated firm value. As this example shows, the conceptualization of a taken-for-granted industry category gives way to a new categorization when a particular attribute or strategic behavior attracts salient attention.Footnote 51

Beyond the easily visible and taken-for-granted category setter such as an industry, a salient wrongdoing associated with a strategic behavior can also be a category setter.Footnote 52 Here, a taken-for-granted categorization occurs based on homogeneity.Footnote 53 By being grouped into a stigmatized category, firms associated with stigmatized strategic behavior are considered culpable.Footnote 54 Such a spillover of culpability is also known as “categorical delegitimization.”Footnote 55

Utilizing this concept, we examine how an entity's corrupt lobbying behavior can penalize bystander firms. Even when shareholders demand to monitor firms’ lobbying activities,Footnote 56 they assume that firms are generally expected to behave in a socially accepted manner.Footnote 57 Shareholders typically believe that lobbying will be done responsibly in good faith by ideal political citizensFootnote 58 in public politics.Footnote 59 Illegal lobbying activities violate shareholders’ expectancy, resulting in legitimacy loss.

Shareholders witnessing corrupt lobbying will assume a high possibility of bystander firms engaging in a similar wrongdoing.Footnote 60 Given that corrupt lobbying is an integrity-violating wrongdoing in which the very motive is questioned, the spillover of culpability can be severe for bystander firms under the same lobbying category.Footnote 61

A bystander firm is deemed culpable when the firm falls under the same category as the culpable firm.Footnote 62 When bystander firms are cognitively grouped under the same category, they become similarly stigmatized. Here, stigma refers to the notion that “once connected to stereotypes, firms are generalized to groups of similar peers since categories are, per definition, groupings based on perceptions of similarity.”Footnote 63 Yet not all firms categorized under the culpable category are stigmatized at the same level. When a strategic behavior is stigmatized, the level of association with the stigmatized behavior will be commensurate to the level of culpability. The variance in culpability will be present within a category.Footnote 64 Bystanders sharing higher associability with the stigmatized behavior are seen as more salient in the shareholders’ eyes. They receive a more significant penalty from a higher level of “guilt by association.”Footnote 65 For example, active engagement in lobbying shows a strong association with lobbying, which is stigmatized around the scandal. These firms will be subjected to more suspicion (compared to firms that lobby less) from their shareholders. Therefore, we hypothesize the following:

H1: Bystander firms that engage in more lobbying will experience more market value decreases when a stigmatizing scandal occurs.

Lobbyists’ main assets are the people they know,Footnote 66 as relationships grant firms access to political insiders. By leveraging those relationships, politically connected firms take advantage of them.Footnote 67 For this reason, McGrath states that the three most essential things in lobbying are “contacts, contacts, contacts.”Footnote 68 In the lobbying industry, connections are scarce resources that are pivotal to lobbying.Footnote 69 When choosing lobbyists close to politicians and government officials, there are no better candidates than ex-politicians and ex-government officials. These so-called revolving-door lobbyists are valuable in obtaining favorable political outcomes for lobbying firms.Footnote 70 Revolving-door lobbyists are individuals with “personal connections through previous employment [who] thoroughly understand the legislative process.”Footnote 71 Past research has found that more than half of all lobbyists hired by firms are former congresspeople or Senate members.Footnote 72 Because “Washington is all about connections,”Footnote 73 McCrain showed that a 1 standard deviation increase in having private connections through revolving-door lobbyists is associated with an 18 percent increase in revenue.Footnote 74 This happens because revolving-door lobbyists have better access to political insiders than their non-revolving-door counterparts.

Once a corrupt lobbying scandal is revealed, a firm with more revolving-door lobbyists appears more suspicious. The higher suspicion associated with revolving-door lobbyists will generate greater dismay in the shareholders. The stronger the anger is from shareholders’ dismay, the higher the potential there is for moral hazard, referred to as “betrayal aversion.”Footnote 75 This is because shareholders assume that lobbying will be conducted in good faithFootnote 76 in public politics.Footnote 77

With respect to utilizing private connections, shareholders find it difficult to gather information on how revolving-door lobbyists work. The increased information gap regarding a firm's lobbying activities (from the shareholders’ standpoint) could exacerbate their concern regarding the firm's likelihood of participating in illegal lobbying activities. According to categorization theory, shareholders fill in missing information by leveraging other firms’ information.Footnote 78 By doing so, shareholders assume that their firm's behavior may work similarly to the culpable firms’ behavior.

Further, when the wrongdoing is associated with a lack of transparency, the stigma spillover of the firm's behavior is exacerbated. Such a lack of transparency leads shareholders to imagine the worst. For example, if firms used more revolving-door lobbyists with private connections, shareholders’ concerns would increase with regard to the firm's possibility of engaging in illegal lobbying activities. When shareholders notice that personal connections with politicians are pivotal in the wrongdoing, firms that hire revolving-door lobbyists will also be deemed culpable. Those firms that frequently engage in lobbying will lose more credibility. Therefore, we argue:

H2: Among bystander firms, firms that engage more in lobbying and have a higher ratio of revolving-door lobbyists will experience more market value decreases when a stigmatizing scandal occurs.

Ingram and Clay classified institutions as (1) public or private and (2) centralized and decentralized.Footnote 79 The state often runs public institutions. Private institutions are usually voluntary because the rules cannot be forced on all entities: “In the centralized form of these institutions, a central authority sets rules, incentives, and sanctions for noncompliance.”Footnote 80 This is not the case concerning decentralized institutions. These institutions need a powerful authority with the right to impose sanctions. This characteristic of sanctions for noncompliance by centralized public institutions creates credibility for institutional remedies to fix integrity failures.Footnote 81 When the negative impact of a wrongdoing spreads beyond the culpable firm, both the culpable firms and bystander firms try to remedy the situation. However, it is difficult to regain lost legitimacy from the shareholders.Footnote 82 These shareholders doubt the true intention behind such moves,Footnote 83 given that any strategic moves are firm-discretionary actions. Self-made efforts by firms that have lost legitimacy are less impactful in stopping or reversing the negative spillover of the wrongdoing.Footnote 84 There are limitations to firm-strategic moves in curtailing the negativity spilled over from outside the firm.

In contrast, an institutional remedy can increase the transparency and credibility of a firm's discretion in this situation. When a credible third party develops a new institutional arrangement that decreases the likelihood of potential violations regarding shareholders’ expectations, the stigma levied on bystander firms will lessen. Pozner, Nohliver, and Moore showed that improvements in external monitoring by governments result in increased firm reliability.Footnote 85 Legal remedies decrease firms’ chances of a wrongdoing by enforcing a stricter monitoring system and heightening transparency. This argument supports the notion that external monitoring can substitute for the failure of firms’ internal controls.Footnote 86

Prior research has found that audiences assign more value to institutional remedies compared to firm-initiated rehabilitative efforts.Footnote 87 Perceivers believe that corrections initiated by a trustworthy third party are objective with a low possibility of manipulation, even when only incomplete information about the particular action is available.Footnote 88 Therefore, legitimacy restoration occurs when new regulations mitigate concerns about a wrongdoing. It is natural for an institutional correction to receive favorable reactions from perceivers.

Among the bystanders tainted by the negative spillover of a wrongdoing, those firms associated more with the culpable stigmatized strategic behavior will be penalized more. Accordingly, at the time of the legal remedy, those firms that were penalized more will experience more legitimacy recovery. Given that the legitimacy rehabilitation is the action of a credible third party, institutional remedies assure that all firms will be expected to satisfy the minimum requirements due to the third party's sanction power.Footnote 89 Those firms penalized more at the time of the disclosure of corrupt lobbying may enjoy enhanced legitimacy restoration when the new lobbying regulations are introduced. Thus, we posit the following:

H3: Bystander firms that engage in more lobbying will experience more market value increases when a credible third party announces a legal remedy.

Introducing a new institutional remedy for an integrity failure with compulsory requirements and credible sanctions gives shareholders assurance that the wrongdoing is unlikely to happen again in the future.Footnote 90 When a new institutional remedy is introduced, those penalized firms will receive the most credit. The information gap and lack of accessibility will be highest for strategic behaviors characterized by the most insufficient information to shareholders. When a credible third party—a central public authority—takes control and promises potential sanctions if firms fail to abide by the rules, credibility gains will be highest for those associated with the highest penalty.Footnote 91 This is in line with expectancy violation theory in that “when a negative expectation is positively violated, a very intense positive emotional reaction ensues, which overcomes any initial negative feelings generated by the violation of expectations.”Footnote 92

A credible remedy to fix the underlying problem of an integrity violation will allow shareholders to reassess and make new judgments about bystanders painted with the same brush.Footnote 93 Past research has found that using highly connected revolving-door lobbyists will increase the likelihood of being involved in illegal activities.Footnote 94 A one-year ban on former government officials becoming revolving-door lobbyists works to loosen the tight connection between these lobbyists and government officials, thereby enabling bystanders to recover from the stain of illegitimacy.Footnote 95 For this reason, firms with more revolving-door lobbyists will recover more of their legitimacy when they engage in additional lobbying. Because the loss of legitimacy from the negative expectancy violation is more significant, the institutional remedy can help those firms (that engage in lobbying more and that hire more revolving-door lobbyists) enjoy more legitimacy rehabilitation. Thus, we argue the following:

H4: Among bystander firms, firms that engage more in lobbying and have a higher ratio of revolving-door lobbyists will experience more market value increases when a credible third party announces a legal remedy.

Method

Data and Sample

To create the sample, we merged diverse data sources. First, we collected Standard and Poor's (S&P) 500 firm lists from 2000 to 2005. Excluding duplicate firms, we had 651 firms. Second, we collected firms’ cumulative abnormal returns (CARs) using data from Thomson Datastream. Because of missing values in calculating the CARs, we were left with the stock price movements of 563 firms. Third, we collected firms’ lobbying activities from 2003 to 2005 using data from the Center for Responsible Politics. In our sample, 356 of the 563 firms lobbied from 2003 to 2005. Fourth, we collected other firm-level financial and accounting data from Compustat. Fourth, we added the industry regulation, each firm's level of diversification, and each firm's visibility. Lastly, we excluded firms if they had confounding events around the guilty plea (Event 1, the guilty plea on 3 January 2006) and the event of a legal remedy (Event 2, HLOGA was passed in the Senate on 18 January 2007). After merging all the data, 171 firms remained for Event 1, and 93 firms remained for Event 2. More firms were dropped in Event 2 because of confounding effects, delisting, and acquisitions.

Measures

Dependent variable

We selected firms’ abnormal returns to capture their reactions to the two events and used the event study methodology.Footnote 96 A firm's CAR was calculated using a two-day window (–1, 0), following McWilliams and Siegel (Reference McWilliams and Siegel1997), who noted that a period of two days would not capture the effect of the event's impact on the CARs. We multiplied two dependent variables by 100 to generate the percentages. Following the previous study,Footnote 97 we examined the stock price movement around the announcement of Abramoff's guilty plea on 3 January 2006, to capture the adverse reactions of investors. We also captured HLOGA's passage in the Senate on 18 January 2007. Among the essential dates regarding HLOGA, we chose the date that the Senate passed the law because it clearly showed that a legal remedy would be implemented. From the shareholders’ view, introducing the new law in the Senate was not enough to gauge the possibility of the new lobbying act passing. However, once it was passed, the shareholders could regard this new regulation as highly likely to be enacted. The fact that the Senate passed the law meant that newer and more impactful information was available to them.Footnote 98 In addition, after the Senate passed HLOGA, its fate was quite predictable, as 83 of 100 senators voted for the new law.Footnote 99 This tendency was replicated in the House of Representatives. When HLOGA was passed in the House of Representatives, 411 of 432 voted in favor of it.Footnote 100

Independent variable

For Event 1, following measurement used by Borisov and colleagues, we gathered the total lobbying expenditures from 2003 to 2005.Footnote 101 Because the corrupt lobbying conviction occurred in 2006, we added the previous three years of lobbying expenditures. For Event 2, we collected how much firms spent on lobbying in 2006. After the announcement of Abramoff's guilty plea in January 2006, firms’ lobbying expenditures in 2006 reflected their lobbying behavior after the guilty plea. We logged the lobbying expenditures for Events 1 and 2 to reduce skewness.Footnote 102

Moderating variable

We measured the use of revolving-door lobbyists to capture their closeness to politicians and government officials. The Center for Responsive Politics provides information on lobbyists’ work experience in the government. We used this data, which captured lobbyists’ previous official positions in the government (e.g., lawmakers and employees who worked for the legislature or executive branch). For example, if a lobbyist had worked as the former chief counsel to the Senate Commerce Committee, we regarded this individual as a revolving-door lobbyist. To create the moderating variable, we counted the firm's total number of lobbyists and revolving-door lobbyists during two periods: (1) from 2003 to 2005 and (2) in 2006. We then divided the number of revolving-door lobbyists by the total number of lobbyists to calculate the ratio.

Control variables

We controlled for firm size, as it is highly related to lobbying activities.Footnote 103 We measured firm size using total assets (logged). Following previous research,Footnote 104 we controlled for firm performance using the return on equity (ROE). Because our dependent variable is the stock price movement, ROE is a better measurement than the return on assets (ROA) to capture firm performance. We controlled for industry effects using SIC one-digit classifications. To control for the influence of another crucial political strategy, political action committee (PAC) contributions were controlled using the log of the total number of PACs. Finally, we controlled for whether a firm was in a high regulation industry, as many previous studies have indicated that firms in a regulated industry have more incentives to lobby.Footnote 105 Following the previous study's method,Footnote 106 we coded 1 as firms in a highly regulated industry, and 0 otherwise. We also controlled for lobbying breadth. We measured the average number of agencies involved in lobbying.Footnote 107

In addition, we controlled for several financial variables that could affect the hypothesized relationships. First, we controlled for liabilities, measured by the ratio of assets to liabilities.Footnote 108 Second, we controlled for Tobin's Q, calculated as the market value divided by its replacement value.Footnote 109 Third, we controlled for the tangibility ratio, measured by tangible to total assets.Footnote 110 Additionally, we controlled for return uncertainty, calculated as the standard deviation of the daily returns of each firm from 275 to 30 days before Events 1 and 2, respectively.Footnote 111

We controlled for the media visibility of each firm. For Event 1, we counted the number of Wall Street Journal (WSJ) articles reporting on each firm from 1 January 2003 to 2 January 2006. For Event 2, we searched the number of WSJ articles from 4 January 2006 to 17 January 2007. We then logged the number of articles. More visible firms tend to increase their lobbying activities. Additionally, more visible firms would attract further attention.

We controlled for industry regulation as a regulation probability using RegData.Footnote 112 Al-Ubaydli and McLaughlin calculated the regulation probability for each industry based on two factors: texts in federal regulations and their relevance to each industry.Footnote 113 Under highly regulated industries, firms have incentives to lobby the government to set favorable rules and standards for their firms. For Events 1 and 2, we used RegData for 2005 and 2006, respectively. In addition, some firms may operate in multiple industries, which could impact the firms’ categorization. Therefore, we controlled for diversification. The level of business diversification for each firm was measured by the Berry-Herfindahl index.Footnote 114 We obtained the data from the Compustat business segment data.Footnote 115 We first calculated the Herfindahl-Hirschman index from the business segment data for each firm. We then deducted the value from 1 to create the Berry-Herfindahl index.

Finally, we added Team Jack, given that Abramoff engaged in illegal lobbying with his team members, and some were also found guilty in court. Thus, following the previous literature,Footnote 116 we controlled for Team Jack by creating a ratio variable indicating firms that hired the twenty-one lobbyists on his lobbying team. There is the possibility that shareholders may show more adverse reactions to firms associated with Team Jack.

In analyzing Event 2, we used additional variables to capture the firm's changed nonmarket behaviors after the guilty plea announcement. First, we controlled for the change in lobbying expenditures. The difference between the firm's lobbying expenditures in 2006 and its average expenditures from 2003 to 2005 was calculated and divided by the average lobbying expenditures from 2003 to 2005. Second, a PAC contribution change was added. The PAC contribution difference between PAC contributions during two periods, (1) from 2003 to 2005 and (2) in 2006, was calculated and divided by the average PAC contribution from 2003 to 2005. Furthermore, we added several change variables. Following the same way of measurement, we added revolving-door lobbyists’ change and lobbying breadth change.

Empirical strategy

We argue that lobbying firms will experience a more negative market reaction around the announcement of the verdict from the court (Event 1) and a more favorable market reaction around the legal remedy (Event 2).

The abnormal return (AR) on stock j of day t is estimated by:

$$AR_{\,jt} = R_{\,jt}-\;\widehat{{R_{\,jt}}}$$

Rjt is the daily stock return of stock j at time t, and $\widehat{{R_{jt}}}$ is the expected daily stock return on stock j at time t. ARjt is the actual daily stock return minus the expected daily stock return.

$$\bar{A}R_t = \displaystyle{1 \over N}\sum\limits_{\,j = 1}^N {AR_{\,jt}} $$

N denotes the number of sample companies. CAR t for the event window [–1, 0] is the sum of abnormal returns in the two days.Footnote 117 The formulation is as follows:

$$CAR_{( t1, t2) } = \sum\limits_{t = t1}^{t2} {{\overline {AR} }_t} $$

In this equation, j denotes each company; t denotes time; t 1 is the beginning date (–1); and t 2 is the event window's ending date (0). We use –210 to –11 days; thus, the estimation window covers 200 trading days. We exclude firms with fewer than 30-day stock returns. Following the method of previous studies, we tested different windows as the robustness check. We found that a more extended (e.g., [–2, 1]) window shows the impact of the guilty plea and the passage of the new lobbying act in the Senate on the shareholders’ responses.

Results

We argue that lobbying firms will experience a more negative market reaction around the announcement of the verdict from the court (Event 1) and a more favorable market reaction around the passage of the new act (Event 2). This also means that lobbying and non-lobbying firms should experience different stock market movements around the two events. For example, when Jack Abramoff pleaded guilty, lobbying firms should have received more hostile reactions from the shareholders, compared to non-lobbying firms. Conversely, applying the same assumption, lobbying firms should have gotten more favorable responses from the shareholders than non-lobbying firms when the new lobbying act was launched. To test the different reactions around the two events, we create a matched sample with firms that did not engage in lobbying between 2003 and 2005 using SIC industry classifications (SIC one-digit) in the listed firms. Then, we use propensity score matching based on firm performance (ROE) for Events 1 and 2.

We conducted two separate analyses. For Event 1, we tested the difference between the CARs of firms engaged in lobbying and those of firms that did not lobby around Abramoff's guilty plea. We calculated a two-day event window (–1,0). For Event 1, the CAR for lobbying firms is –0.76 percent, whereas the CAR for non-lobbying firms is –0.55 percent, and the difference is statistically significant based on the t-test result (t = 4.4392). We gain the same results from different CAR ranges, such as a three-day window (–1, +1). Thus, we confirm that lobbying firms experience harsher reactions from their shareholders when the corrupt lobbyist is punished.

Table 1. Matching results: Differences in CAR between lobbying and non-lobbying firms at Event 1.

Also, for testing Event 2, we examined the difference in the CARs of firms that participated in lobbying and not around the passage of HLOGA in the Senate. We use the same two-day event window (–1, 0). Table 4 shows that the CAR for lobbying firms is 0.73 percent. In contrast, the CAR for non-lobbying firms is 0.66 percent, and the difference is statistically significant based on the t-test result (t = –2.5142). Results with a three-day window (–1, +1) and a different two-day window (0, +1) are qualitatively the same. Consequently, we find that lobbying firms receive more positive responses from their shareholders than non-lobbying firms.

Table 2. Matching results: Differences in CAR between lobbying and non-lobbying firms at Event 2.

After we certify that lobbying and non-lobbying firms show different stock price movements around the two events, we run two different regressions. Thus, we have two descriptive statistics tables. Tables 3 and 4 present all variables’ descriptive statistics and correlation matrices for each event. We find that lobbying expenditures in 2006 and lobbying expenditure changes in Table 4 are highly correlated. We orthogonalize the two variables using the Gram-Schmidt procedure to mitigate potential problems.Footnote 118 By removing the common variance, this technique creates transformed uncorrelated variables with each other.Footnote 119

Table 3. Descriptive statistics and pairwise correlation matrix, lobbying scandal, Event 1. N = 171.

* Significant at the .05 level.

Table 4. Descriptive statistics and pairwise correlation matrix, lobbying scandal, Event 2. N = 93.

* Significant at the .05 level.

Model (1) in Table 5 contains only the control variables. Model (2) shows a negative relationship between lobbying expenditures and CAR. When the firm participated more actively in lobbying, it triggered a more negative spillover effect when Abramoff's guilty plea was announced (β = –.276; p = .019), thereby supporting H1. In Model (4), we tested the boundary condition of the ratios involving the revolving-door lobbyists. The results show that having a higher level of revolving-door lobbyists magnifies the negative relationship between lobbying expenditures and CAR (β = –1.233; p = .084), thus supporting H2. A graphical representation of this interaction effect is shown in Figure 1.

Figure 1. Interaction effect of revolving-door lobbyists on the negative relationship between the level of lobbying and shareholders’ reactions.

Table 5. Regression results, Jack Abramoff lobbying scandal, Event 1. N = 171.

Robust p-values are in parentheses: *** p < .01; ** p < .05; * p < .1.

Table 6 displays the results of the positive news about lobbying (Event 2). In Model (5), only the control variables are included. Model (6) examines investors’ reactions to the announcement of amending the current lobbying law. As we hypothesized, the results confirm that investors from firms with a higher level of lobbying engagement showed favorable attitudes toward the government's external monitoring (β = .543; p = .007). Thus, H3 was marginally supported. Finally, in Model (8), we explored the moderating effect regarding the ratios of revolving-door lobbyists. The results failed to reach statistical significance (β = –4.328; p = .152). As a result, H4 was not supported.

Table 6. Regression results, legal remedy, Event 2. N = 93.

Robust p-values are in parentheses: *** p < .01; ** p < .05; * p < 0.1.

Additional Case: The Enron Scandal and the Sarbanes-Oxley Act

Because Abramoff's case is known as “the biggest congressional corruption scandal in generations”Footnote 120 in US history, this study may lack generalizability. It is quite challenging, however, to identify a comparable corrupt lobbying scandal with relevant data. We found sixteen corrupt lobbying scandals in the United States and the United Kingdom.Footnote 121 Legal remedies resulted in four cases. Out of these four cases, we could identify only one case that we could analyze with lobbying data: the Enron scandal in 2001. For the other three cases, either stock market data and/or lobbying data are unavailable (see Table A1 in Appendix A). Enron is a comparable historic corruption case that involves lobbying.Footnote 122 Because corruption can be broadly defined as “the abuse of entrusted power for private gains,”Footnote 123 the Enron case would be included in corruption cases.

Enron was one of the most powerful energy companies in the world. It was the fifth-largest firm on the Fortune 500 company list. In the middle of 2001, analysts on Wall Street began to question the credibility of Enron's financial statements. The Securities and Exchange Commission started investigating both the company and its auditor. On 8 November 2001,Footnote 124 Enron admitted its malpractice in accounting. The auditor, Arthur Andersen, was convicted as well.

The impact of the Enron scandal was not limited to Enron itself. The wrongdoing was an outcome of a collaboration with the external auditor. Shareholders at other companies abruptly had to pay attention to their own firms’ auditors. Having hired Arthur Andersen could have signaled the possibility of committing similar fraud. Due to the simple fact of using Arthur Andersen as the firm's auditor, bystander firms were categorized together with Enron and experienced negative spillover.

At the same time, shareholders were naturally more suspicious of those firms with ties to politicians. The public could not imagine a firm being that audacious in committing a wrongdoing without the backing of Capitol Hill.Footnote 125 To the shareholders’ eyes, engaging in lobbying activities was enough to worsen their preoccupations about the possibility of their firms engaging in a similar wrongdoing as Enron when they hired Arthur Andersen.

This scandal precipitated a confidence crisis in the financial markets and brought about a legal remedy—the Sarbanes-Oxley Act. In response to the Enron scandal, Senator Paul Sarbanes and Representative Michael G. Oxley introduced the bill on 14 February 2002. The Senate considered it on 8 July 2002,Footnote 126 and on 25 July 2002, the House and Senate agreed to pass the law. The newly launched law requires companies in the United States to keep more comprehensive records in their bookkeeping.Footnote 127 After the intervention of this third party, shareholders could ease their worries about firms possibly engaging in corruption. The biggest beneficiaries were the bystanders categorized with Enron that had hired Arthur Andersen. Owing to the Sarbanes-Oxley Act, the shareholders of those companies once again perceived their firms as legitimate. Even among those firms that had hired Arthur Andersen as their external auditor, politically connected firms enjoyed more positive responses from their shareholders.

In conclusion, the Enron scandal shares many similarities and is suitable for additional analysis. First, the Enron scandal also sparked a new categorization at the center of the scandal. Shareholders grouped firms into whether they used Arthur Andersen or not. Usually, external auditor information would not attract attention from shareholders. However, if this information becomes a critical factor in a firm's wrongdoing, it begins to push the firm into the limelight. Being categorized along with Enron became enough of a reason to punish firms in the shareholders’ eyes. Second, a credible third-party remedy followed. Owing to the introduction of the Sarbanes-Oxley Act, shareholders could restore their trust in firms’ legitimacy and maintain their social expectations toward these firms. Lastly, similar to the Jack Abramoff scandal, a boundary condition exacerbated shareholders’ worries about the wrongdoing—trying to be close to lawmakers. For the reasons above, we argue that Enron is an ideal setting to reverify our findings from the Jack Abramoff scandal.

Method

Samples

We first identified S&P 500 firms for 2001 (Event 1) and 2002 (Event 2). Then, we found the CARs from the Event Study through Wharton Research Data Services. Finally, after matching the dependent variable (CARs) with the independent moderating control variables, we examined the confounding effects during the event window. Our final sample sizes for Events 1 and 2 were 192 and 175, respectively.

Measures

Many variables were identically measured, as we did in the main analysis. Table B1 shows these variables.

Dependent variable: CAR (–1, 0). We used the same measurement method as in the Abramoff lobbying scandal. The Event 1 date is 8 November 2001. The Event 2 date is 8 July 2002.Footnote 128

Independent variable: Using Arthur Andersen. We coded S&P 500 firms according to whether they hired Arthur Andersen as their external auditor in 2000 (a year before the Enron scandal was debunked) or not. We used the same binary variable for Events 1 and 2, as the time period between Events 1 and 2 is less than a year. Further, because the Enron scandal was debunked in November, firms did not have a chance to find other auditors for 2002. Thus, we used the same independent variable for both events. Finally, we determined whether the firm hired Arthur Andersen or not by reading the firm's 10-K report.

Moderating variable: Lobbying expenditures. We measured the firm's lobbying engagement by summing its lobbying expenditures before the Enron scandal. We used the same moderating variable for Events 1 and 2, as the time period between Events 1 and 2 is less than a year. We accrued the firm's lobbying expenditures from January 1998 to June 2001 and logged the variable to reduce skewness.

Control variables. Most of the controls are identical to those in our main study. However, the Enron scandal was mainly a corporate accounting and auditing fraud case with substantial lobbying.Footnote 129 Therefore, we controlled for additional variables. First, we controlled for accounting misstatement. We measured bystander firms’ accounting misstatements during the last three years before the Enron scandal. An accounting misstatement reflects accounting and auditing misconduct. We used the Accounting and Auditing Enforcement Releases (AAERs) data.Footnote 130 Second, we controlled for the same industry as Enron. We captured whether the firm was in the same industry as Enron or not. This is similar to the Team Jack variable in the Abramoff lobbying scandal case, as it demonstrates closeness to the culpability. Third, to capture the firms’ changed lobbying activities, we controlled for a change in lobbying expenditures (logged) from two time periods: (1) January 1998–June 2001 and (2) July 2001–June 2002. We calculated the differences between periods (2) and (1) to measure the change in lobbying expenditures.

Results

Tables B2 and B3 show the correlation matrices for Events 1 and 2. Given that we added changed lobbying expenditures in the Event 2 analysis, we added the changed lobbying expenditures in Table B3. We found that firms’ lobbying expenditures and changed lobbying expenditures show a negative correlation, which captured the firm's changed lobbying activities after the Enron scandal was debunked.

Table B4 provides the regression results for the admittance of wrongdoing on 8 November 2001. Model (1) only contains the control variables. Model (2) shows the negative responses from shareholders around the Enron scandal (β = –1.083; p = .033). Thus, H1 was supported. Model (3) contains the independent variable and moderator. Model (4) provides the results of the interaction effect of bystanders’ engagement in lobbying. We tested when the firm participated in lobbying, and whether shareholders showed more hostile responses to the bystander. We failed to see statistical significance (β = –.087; p = .302). Thus, H2 was not supported.

Table B5 shows the results of the regression table around the Sarbanes-Oxley Act. Model (5) only contains the controls. In Model (6), bystanders that hired Arthur Andersen experienced more positive reactions from shareholders (β = 1.224; p = .085). Therefore, H3 was supported.Footnote 131 Model (7) contains the independent variable and moderator. Model (8) shows the effect of the interaction term. We found that firms engaging in lobbying enjoyed a more favorable response from their shareholders when the new regulation was introduced (β = .179; p = .087). Thus, Hypothesis 4 was supported. Figure B1 shows its interaction effect among firms.

Discussion

We capture the negative spillover by investigating the shareholders’ (of the bystanders) responses. We argue that the negative spillover among bystanders varies, depending on their associability with the wrongdoing. We also add the boundary condition of insufficient transparency, which levies a greater burden on shareholders for collecting firm information. However, when an objective intervention occurs, those bystander firms gain positive responses from their shareholders, as the intervention restores legitimacy to the tarnished behavior. Because the institutional remedy promises increased transparency, those firms experiencing transparency issues can enjoy more favorable responses from their shareholders. To investigate our arguments, we mainly leverage a corrupt lobbying scandal in 2006 and the subsequent new regulation (HLOGA) in 2007. Further, to secure generalizability, we introduce another example—the Enron scandal and the Sarbanes-Oxley Act.

We contribute to the literature in three ways. First, we broaden categorization theory by demonstrating the replacement of a categorization setter around a wrongdoing. Taken-for-granted industry categories give way to an emerging category when they are associated with a wrongdoing. Specifically, we show that strategic behavior (which is the source of a wrongdoing) draws attention from shareholders and works as a category setter. When the wrongdoing is revealed, shareholders punish those firms that engaged in the culpable strategic behavior. This change in evaluation occurs because the taken-for-granted categories do not stand when new and significant information becomes available. At this time, we find that causal reasoning replaces taken-for-granted thinking.Footnote 132

Second, we illustrate that the level of negative spillover differs based on the degree of culpability. By highlighting the within-variance among firms that participated in the culpable strategic behavior, we show that shareholders’ suspicion regarding the firm's likelihood of engaging in the wrongdoing is associated with the level of the firm's activity in having engaged in the culpable behavior.

Lastly, we introduce the role of a credible third party in legitimacy restoration. The level of restoration from the reputational loss due to the firm's association with the wrongdoing is commensurate with how much legitimacy was lost. When the suspicion of the wrongdoing is resolved via credible third-party involvement, those firms that lost the most credibility are the ones that regain the most legitimacy. The level of legitimacy restoration around the enactment of the new law is based on the magnitude of the initial legitimacy loss.

Our research is not without limitations. First, we did not fully capture whether firms changed their nonmarket activities after the negative news about lobbying. Given a yearlong gap between the negative and positive news concerning lobbying, firms may have had enough time to reorganize their political activities, such as broadening their use of internal lobbyists or changing lobbying firms. Although we added the change in revolving-door lobbyists, lobbying expenditures, and PAC contributions, other features of the firms’ political activities may have changed, thereby affecting investors’ perceptions.

Second, it is possible that the firm could have changed its pattern of hiring revolving-door lobbyists. After firms experienced a negative response from shareholders and witnessed the stigma attached to having revolving-door lobbyists, firms might have had the incentive to modify how they could use their existing revolving-door lobbyists better. As a result, firms may have refrained from putting these lobbyists on the front line. If revolving-door lobbyists are the best at doing the frontline work, preventing them from doing their best might not be deemed a viable strategy from the standpoint of shareholders. This is related to the reason that Hypothesis 4 was not supported. H4 argues that the intervention of a third party will be of greater benefit to those firms that hire more revolving-door lobbyists. However, if the firms changed their usage tactics of lobbyists and other nonmarket strategies after the scandal, shareholders would have updated their views toward the firms. Thus, introducing the new law did not have a more powerful impact in terms of firms relying more on revolving-door lobbyists.

Lastly, we mainly focus on shareholders even though there are different types of stakeholders. Examining the shareholders’ responses through stock prices has been a well-established research area in management. As various shareholders could have unique views regarding lobbying, picking only one type of stakeholder could limit a fruitful discussion on using multiple stakeholders. As shareholders prioritize the market, they might regard lobbying differently than the general public. Additionally, even among shareholders, individuals, and institutional investors, and even among the institutional investors themselves, they could view lobbying through different lenses. Future research could compare different types of stakeholders with respect to lobbying and could separate shareholders into different groups based on their stances toward lobbying.

Conclusions

We find that a culpable firm's illegal lobbying reduces the legitimacy of bystanders that actively engage in lobbying. We also find that proper third-party remedies stemming from a credible third party can restore firms’ legitimacy. In addition, while firms that hired revolving-door lobbyists received the harshest punishment at the time of the culpable event of a focal firm, these firms also recovered their legitimacy the most when an institutional remedy was introduced.

Appendix A

Table A1. List of corrupt lobbying scandals in the United States and the United Kingdom.

Appendix B

Table B1. Variables of additional analysis of the Enron scandal.

Table B2. Descriptive statistics and pairwise correlation matrix, Enron scandal, Event 1. N = 192.

Table B3. Descriptive statistics and pairwise correlation matrix, Enron scandal, Event 2. N = 175.

Table B4. Regression Results, Enron scandal, Event 1. N = 192.

Table B5. Regression Results, Enron scandal, Event 2. N = 175.

Figure B1. Interaction effect of lobbying expenditures on the positive relationship between using Arthur Andersen and shareholders’ reactions to the introduction of the Sarbanes-Oxley Act.

Footnotes

2 See, e.g., Lang and Stulz (Reference Lang and Stulz1992).

3 Berrone, Fosfuri, and Gelabert (Reference Berrone, Fosfuri and Gelabert2017); Gomulya and Mishina (Reference Gomulya and Mishina2017).

4 Pozner, Mohliver, and Moore (Reference Pozner, Mohliver and Moore2019).

5 Barnett and King (Reference Barnett and King2008); Flammer (Reference Flammer2013).

6 Baron, (Reference Baron1995, 47).

7 Lux, Crook, and Woehr (Reference Lux, Crook and Woehr2011).

8 Bach and Allen (Reference Bach and Allen2010).

9 Prior studies have mostly found that corporate political activity generates benefits for firms. However, some exceptions exist (e.g., Hadani and Schuler Reference Hadani and Schuler2013; Hadani, Bonardi, and Dahan Reference Hadani, Bonardi and Dahan2017).

10 Doh, Lawton, and Rajwani (Reference Doh, Lawton and Rajwani2012).

12 Hillman, Keim, and Schuler (Reference Hillman, Keim and Schuler2004); Rajwani, Lawton, and Phillips (Reference Rajwani, Lawton and Phillips2015).

13 Anderson, Martin, and Lee (Reference Anderson, Martin and Lee2018); Kim (Reference Kim2019).

14 Hassan, Unsal, and Hippler (Reference Hassan, Unsal and Hippler2020).

15 Meznar and Nigh (Reference Meznar and Nigh1995).

16 Weidenbaum (Reference Weidenbaum1980).

17 Hillman, Keim, and Schuler (Reference Hillman, Keim and Schuler2004).

18 Boddewyn and Brewer (Reference Boddewyn and Brewer1994).

19 Brodmann, Unsal, and Hassan (Reference Brodmann, Unsal and Kabir Hassan2019).

20 Hassan, Unsal, and Hippler (Reference Hassan, Unsal and Hippler2020).

21 Jeffrey H. Birnbaum and Dan Balz, “Case Bringing New Scrutiny to a System and a Profession,” Washington Post, 4 January 2006.

22 Borisov, Goldman, and Gupta (Reference Borisov, Goldman and Gupta2016, 1044).

23 Cain and Drutman (Reference Cain and Drutman2014).

24 Borisov, Goldman, and Gupta (Reference Borisov, Goldman and Gupta2016).

26 Black and Khanna (Reference Black and Khanna2007).

27 Footnote Ibid., 750.

29 Black and Khanna (Reference Black and Khanna2007, 751).

31 Bitektine (Reference Bitektine2011); Mishina et al. (Reference Mishina, Block and Mannor2012); Sullivan, Haunschild, and Page (Reference Sullivan, Haunschild and Page2007).

33 Chandler, Polidoro, and Yang (Reference Chandler, Polidoro and Yang2020); Paruchuri, Han, and Prakash (Reference Paruchuri, Han and Prakash2021).

34 Festinger (Reference Festinger1957); Greifeneder, Bless, and Pham (Reference Greifeneder, Bless and Pham2011).

35 Paruchuri and Misangyi (Reference Paruchuri and Misangyi2015, 171).

36 Durand and Paolella (Reference Durand and Paolella2013, 1102).

37 Chen, Iyer, and Pazgal (Reference Chen, Iyer and Pazgal2010); Durand and Paolella (Reference Durand and Paolella2013).

38 Barlow, Verhaal, and Hoskins (Reference Barlow, Cameron Verhaal and Hoskins2018); Durand and Vergne (Reference Durand and Vergne2015); Vergne (Reference Vergne2012).

39 Barlow, Verhaal, and Hoskins (Reference Barlow, Cameron Verhaal and Hoskins2018); Durand and Vergne (Reference Durand and Vergne2015); Vergne (Reference Vergne2012).

40 Roehm and Tybout (Reference Roehm and Tybout2006).

41 Trump and Newman (Reference Trump and Newman2017).

42 Aranda, Conti, and Wezel (Reference Aranda, Conti and Wezel2021)

44 Pryor, Reeder, and Monroe (Reference Pryor, Reeder and Monroe2012, 224); Piazza and Jourdan (Reference Piazza and Jourdan2018).

45 Vergne (Reference Vergne2012, 1028).

46 Ocasio (Reference Ocasio1997, 188).

48 Hoffman and Ocasio (Reference Hoffman and Ocasio2001).

50 Dixon-Fowler, Ellstrand, and Johnson (Reference Dixon-Fowler, Ellstrand and Johnson2013).

51 Barsalou (Reference Barsalou1983).

52 Jonsson, Greve, and Fujiwara-Greve (Reference Jonsson, Greve and Fujiwara-Greve2009).

53 Rehder (Reference Rehder2006); Naumovska and Zajac (Reference Naumovska and Zajac2021).

55 Greve, Palmer, and Pozner (Reference Greve and Palmer2010, 89); Jonsson, Greve, and Fujiwara-Greve (Reference Jonsson, Greve and Fujiwara-Greve2009).

57 Ashforth and Gibbs (Reference Ashforth and Gibbs1990); Suchman (Reference Suchman1995).

58 Fehr and Gächter (Reference Fehr and Gächter2002); Lange and Washburn (Reference Lange and Washburn2012).

60 Borisov, Goldman, and Gupta (Reference Borisov, Goldman and Gupta2016).

61 Jensen (Reference Jensen2006); Paruchuri, Han, and Prakash (Reference Paruchuri, Han and Prakash2021).

62 Jonsson, Greve, and Fujiwara-Greve (Reference Jonsson, Greve and Fujiwara-Greve2009); Paruchuri, Pollock, and Kumar (Reference Paruchuri, Pollock and Kumar2019).

63 Vergne (Reference Vergne2012, 1030).

66 Bertrand, Bombardini, and Trebbi (Reference Bertrand, Bombardini and Trebbi2014).

67 Faccio (Reference Faccio2006); Faccio, Masulis, and McConnell (Reference Faccio, Masulis and McConnell2006).

68 McGrath (Reference McGrath2006, 74).

69 Bertrand, Bombardini, and Trebbi (Reference Bertrand, Bombardini and Trebbi2014).

70 Shepherd and You (Reference Shepherd and You2020).

71 McCrain (Reference McCrain2018, 1370).

72 Yu and Yu (Reference Yu and Yu2011).

73 Blanes i Vidal, Draca, and Fons-Rosen (Reference Vidal, Jordi and Fons-Rosen2012, 3731).

74 McCrain (Reference McCrain2018).

75 Koehler and Gershoff (Reference Koehler and Gershoff2003, 245); McDonnell and King (Reference McDonnell and King2018).

76 Fehr and Gächter (Reference Fehr and Gächter2002); Lange and Washburn (Reference Lange and Washburn2012).

78 Jonsson, Greve, and Fujiwara-Greve (Reference Jonsson, Greve and Fujiwara-Greve2009).

79 Ingram and Clay (Reference Ingram and Clay2000).

80 Barnett and King (Reference Barnett and King2008, 1151).

81 King and Lenox (Reference King and Lenox2000); Short and Toffel (Reference Short and Toffel2010).

82 Berrone, Fosfuri, and Gelabert (Reference Berrone, Fosfuri and Gelabert2017).

84 Berrone, Fosfuri, and Gelabert (Reference Berrone, Fosfuri and Gelabert2017); Gomulya and Mishina (Reference Gomulya and Mishina2017).

85 Pozner, Mohliver, and Moore (Reference Pozner, Mohliver and Moore2019).

87 Suchman (Reference Suchman1995).

89 Ringquist (Reference Ringquist1993).

90 Jain and Rezaee (Reference Jain and Rezaee2006).

91 Vandenbergh (Reference Vandenbergh2003).

92 Weber and Mayer (Reference Weber and Mayer2011, 57).

93 Barnett and King (Reference Barnett and King2008).

94 McCrain (Reference McCrain2018).

95 Cain and Drutman (Reference Cain and Drutman2014).

96 Borisov, Goldman, and Gupta (Reference Borisov, Goldman and Gupta2016); Werner (Reference Werner2017).

97 Borisov, Goldman, and Gupta (Reference Borisov, Goldman and Gupta2016).

98 Cain and Drutman (Reference Cain and Drutman2014). The voting result of HLOGA supported this idea: among 100 senators, 83 voted yes to approve HLOGA, while 17 voted no.

100 Final vote results for Roll Call 763, https://clerk.house.gov/evs/2007/roll763.xml.

101 Borisov, Goldman, and Gupta (Reference Borisov, Goldman and Gupta2016).

103 Masters and Keim (Reference Masters and Keim1985).

104 Hadani (Reference Hadani2007).

105 Werner (Reference Werner2017).

108 Bogentoft, Romeijn, and Uryasev (Reference Bogentoft, Edwin Romeijn and Uryasev2001).

109 Unsal, Hassan, and Zirek (Reference Unsal, Hassan and Zirek2016).

110 Dahiya, Hallak, and Matthys (Reference Dahiya, Hallak and Matthys2020).

111 Kumar, Dixit, and Francis (Reference Kumar, Shyam, Dixit and Francis2015).

112 Al-Ubaydli and McLaughlin (Reference Al-Ubaydli and McLaughlin2017).

114 Berry (Reference Berry1971).

115 Shin and Stulz (Reference Shin and Stulz1998).

116 Borisov, Goldman, and Gupta (Reference Borisov, Goldman and Gupta2016).

117 McWilliams and Siegel (Reference McWilliams and Siegel1997); Werner (Reference Werner2017).

119 Hiatt, Sine, and Tolbert (Reference Hiatt, Sine and Tolbert2009).

120 Susan Schmidt and James V. Grimaldi, “The Fast Rise and Steep Fall of Jack Abramoff,” Washington Post, 29 December 2005.

121 Please refer to Appendix A.

123 Cuervo-Cazurra (Reference Cuervo-Cazurra2016, 2).

124 Date of Event 1.

125 Gillan and Martin (Reference Gillan and Martin2007); Yu and Yu (Reference Yu and Yu2011).

126 Date of Event 2.

127 Zhang (Reference Zhang2007).

128 We also test the more extended period (e.g., [–2, 3], [–1, 4]) to check the impact of the two events on the firm's cumulative abnormal returns. Again, we found the same results.

129 Drutman and Hopkins (Reference Drutman and Hopkins2013).

131 Given that it was a long process to enact a new law, we also tested other days to secure the positive integrity restoration effect of a third party intervening. We found positive results on 9 July 2002 (President George W. Bush made a speech on Wall Street) and 25 July 2002 (passage of the bill; President Bush reportedly said he would sign the bill).

132 Naumovska and Zajac (Reference Naumovska and Zajac2021).

* Significant at the .05 level.

* Significant at the .05 level.

Robust p-values are in parentheses: *** p < .01; ** p < .05; * p < .1.

Robust p-values are in parentheses: *** p < .01; ** p < .05; * p < .1.

References

Aguilera, Ruth V., Desender, Kurt, Bednar, Michael K., and Lee, Jun Ho. 2015. “Connecting the Dots: Bringing External Corporate Governance into the Corporate Governance Puzzle.” Academy of Management Annals 9 (1): 483573.CrossRefGoogle Scholar
Al-Ubaydli, Omar, and McLaughlin, Patrick A.. 2017. “RegData: A Numerical Database on Industry-Specific Regulations for All US Industries and Federal Regulations, 1997–2012.” Regulation & Governance 11 (1): 109–23.CrossRefGoogle Scholar
Anderson, Jeffrey E., Martin, Silvia L., and Lee, Ruby P.. 2018. “Lobbying as a Potent Political Marketing Tool for Firm Performance: A Closer Look.” Psychology & Marketing 35 (7): 511–21.CrossRefGoogle Scholar
Andrews, Daniel S., Fainshmidt, Stav, Ambos, Tina, and Haensel, Kira. 2022. “The Attention-Based View and the Multinational Corporation: Review and Research Agenda.” Journal of World Business 57 (2): 101302.CrossRefGoogle Scholar
Aranda, Ana M., Conti, Raffaele, and Wezel, Filippo Carlo. 2021. “Distinct but Not Apart? Stigma Reduction and Cross-Industry Evaluative Spillovers: The Case of Medical Marijuana Legalization.” Academy of Management Journal 64 (6): 1901–26.CrossRefGoogle Scholar
Ashforth, Blake E., and Gibbs, Barrie W.. 1990. “The Double-Edge of Organizational Legitimation.” Organization Science 1 (2): 177–94.CrossRefGoogle Scholar
Bach, David, and Allen, David Bruce. 2010. “What Every CEO Needs to Know about Nonmarket Strategy.” MIT Sloan Management Review 51 (3): 4148.Google Scholar
Barlow, Matthew A., Cameron Verhaal, J., and Hoskins, Jake D.. 2018. “Guilty by Association: Product-Level Category Stigma and Audience Expectations in the US Craft Beer Industry.” Journal of Management 44 (7): 2934–60.CrossRefGoogle Scholar
Barnett, Michael L., and King, Andrew A.. 2008. “Good Fences Make Good Neighbors: A Longitudinal Analysis of an Industry Self-Regulatory Institution.” Academy of Management Journal 51 (6): 1150–70.CrossRefGoogle Scholar
Baron, David P. 1995. “Integrated Strategy: Market and Nonmarket Components.” California Management Review 37 (2): 4765.CrossRefGoogle Scholar
Barsalou, Lawrence W. 1983. “Ad Hoc Categories.” Memory & Cognition 11 (3): 211–27.CrossRefGoogle ScholarPubMed
Bell, Steven, Daskalopoulou, Marina, Rapsomaniki, Eleni, George, Julie, Britton, Annie, Bobak, Martin, Casas, Juan P., Dale, Caroline E., Denaxas, Spiros, Shah, Annop D., and Hemingway, Harry. 2017. “Association between Clinically Recorded Alcohol Consumption and Initial Presentation of 12 Cardiovascular Diseases: Population Based Cohort Study Using Linked Health Records.” British Medical Journal 356: j909.CrossRefGoogle ScholarPubMed
Berrone, Pascual, Fosfuri, Andrea, and Gelabert, Liliana. 2017. “Does Greenwashing Pay Off? Understanding the Relationship between Environmental Actions and Environmental Legitimacy.” Journal of Business Ethics 144 (2): 363–79.CrossRefGoogle Scholar
Berry, Charles H. 1971. “Corporate Growth and Diversification.” Journal of Law and Economics 14: 371–83.CrossRefGoogle Scholar
Bertrand, Marianne, Bombardini, Matilde, and Trebbi, Francesco. 2014. “Is It Whom You Know or What You Know? An Empirical Assessment of the Lobbying Process.” American Economic Review 104 (12): 38853920.CrossRefGoogle Scholar
Bitektine, Alex 2011. “Toward a Theory of Social Judgments of Organizations: The Case of Legitimacy, Reputation, and Status.” Academy of Management Review 36 (1): 151–79.CrossRefGoogle Scholar
Black, Bernard S., and Khanna, Vikramaditya S.. 2007. “Can Corporate Governance Reforms Increase Firm Market Values? Event Study Evidence from India.” Journal of Empirical Legal Studies 4 (4): 749–96.CrossRefGoogle Scholar
Vidal, Blanes i, Jordi, Mirko Draca, and Fons-Rosen, Christian. 2012. “Revolving Door Lobbyists.” American Economic Review 102 (7): 3731–48.CrossRefGoogle Scholar
Boddewyn, Jean J., and Brewer, Thomas L.. 1994. “International-Business Political Behavior: New Theoretical Directions.” Academy of Management Review 19 (1): 119–43.CrossRefGoogle Scholar
Bogentoft, Erik, Edwin Romeijn, H., and Uryasev, Stanislav. 2001. “Asset/liability Management for Pension Funds Using CVaR Constraints.” Journal of Risk Finance 3 (1): 5771.CrossRefGoogle Scholar
Borisov, Alexander, Goldman, Eitan, and Gupta, Nandini. 2016. “The Corporate Value of (Corrupt) Lobbying.” Review of Financial Studies 29 (4): 1039–71.CrossRefGoogle Scholar
Brodmann, Jennifer, Unsal, Omer, and Kabir Hassan, M.. 2019. “Political Lobbying, Insider Trading, and CEO Compensation.” International Review of Economics & Finance 59: 548–65.CrossRefGoogle Scholar
Burgoon, Judee K. 1993. “Interpersonal Expectations, Expectancy Violations, and Emotional Communication.” Journal of Language and Social Psychology 12 (1–2): 3048.CrossRefGoogle Scholar
Cain, Bruce E., and Drutman, Lee. 2014. “Congressional Staff and the Revolving Door: The Impact of Regulatory Change.” Election Law Journal: Rules, Politics, and Policy 13 (1): 2744.CrossRefGoogle Scholar
Chandler, David, Polidoro, Francisco Jr., and Yang, Wei. 2020. “When Is It Good to Be Bad? Contrasting Effects of Multiple Reputations for Bad Behavior on Media Coverage of Serious Organizational Errors.” Academy of Management Journal 63 (4): 1236–65.CrossRefGoogle Scholar
Chen, Yuxin, Iyer, Ganesh, and Pazgal, Amit. 2010. “Limited Memory, Categorization, and Competition.” Marketing Science 29 (4): 650–70.CrossRefGoogle Scholar
Cohen, Jacob, Cohen, Patricia, West, Stephen G., and Aiken, Leona S.. 2013. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd edition. Mahwah, NJ: Lawrence Erlbaum Associates.CrossRefGoogle Scholar
Connelly, Brian L., Ketchen, David J. Jr., Ashley Gangloff, K., and Shook, Christopher L.. 2016. “Investor Perceptions of CEO Successor Selection in the Wake of Integrity and Competence Failures: A Policy Capturing Study.” Strategic Management Journal 37 (10): 2135–51.CrossRefGoogle Scholar
Cuervo-Cazurra, Alvaro. 2016. “Corruption in International Business.” Journal of World Business 51 (1): 3549.CrossRefGoogle Scholar
Dahiya, Sandeep, Hallak, Issam, and Matthys, Thomas. 2020. “Targeted by an Activist Hedge Fund, Do the Lenders Care?Journal of Corporate Finance 62: 101600.CrossRefGoogle Scholar
Dechow, Patricia, Weili Ge, M., Larson, Chard R., and Sloan, Richard G.. 2011. “Predicting Material Accounting MisstatementsContemporary Accounting Research 28 (1): 1782.CrossRefGoogle Scholar
Deephouse, David L., and Suchman, Mark. 2008. “Legitimacy in Organizational Institutionalism.” In The Sage Handbook of Organizational Institutionalism. Edited by Greenwood, Royston, Oliver, Christine, Sahlin, Kerstin, and Suddaby, Roy, 4977. London: Sage.CrossRefGoogle Scholar
Dixon-Fowler, Heather R., Ellstrand, Alan E., and Johnson, Jonathan L.. 2013. “Strength in Numbers or Guilt by Association? Intragroup Effects of Female Chief Executive Announcements.” Strategic Management Journal 34 (12): 14881501.CrossRefGoogle Scholar
Doh, Jonathan P., Lawton, Thomas C., and Rajwani, Tazeeb. 2012. “Advancing Nonmarket Strategy Research: Institutional Perspectives in a Changing World.” Academy of Management Perspective 26 (3): 2239.CrossRefGoogle Scholar
Doosje, Bertjan, Branscombe, Nyla R., Spears, Russell, and Manstead, Antony S. R.. 1998. “Guilty by Association: When One's Group Has a Negative History.” Journal of Personality and Social Psychology 75 (4): 872–86.CrossRefGoogle Scholar
Doosje, Bertjan, Alexander Haslam, S., Spears, Russell, Oakes, Penelope J., and Koomen, Willem. 1998. “The Effect of Comparative Context on Central Tendency and Variability Judgements and the Evaluation of Group Characteristics.” European Journal of Social Psychology 28 (2): 173–84.3.0.CO;2-Z>CrossRefGoogle Scholar
Drutman, Lee, and Hopkins, Daniel J.. 2013. “The Inside View: Using the Enron E-mail Archive to Understand Corporate Political Attention.” Legislative Studies Quarterly 38 (1): 530.CrossRefGoogle Scholar
Durand, Rodolphe, and Paolella, Lionel. 2013. “Category Stretching: Reorienting Research on Categories in Strategy, Entrepreneurship, and Organization Theory.” Journal of Management Studies 50 (6): 11001123.CrossRefGoogle Scholar
Durand, Rodolphe, and Vergne, Jean-Philippe. 2015. “Asset Divestment as a Response to Media Attacks in Stigmatized Industries.” Strategic Management Journal 36 (8): 1205–23.CrossRefGoogle Scholar
Faccio, Mara. 2006. “Politically Connected Firms.” American Economic Review 96 (1): 369–86.CrossRefGoogle Scholar
Faccio, Mara, Masulis, Ronald W., and McConnell, John J.. 2006. “Political Connections and Corporate Bailouts.” Journal of Finance 61 (6): 25972635.CrossRefGoogle Scholar
Fehr, Ernst, and Gächter, Simon. 2002. “Altruistic Punishment in Humans.” Nature 415: 137–40.CrossRefGoogle ScholarPubMed
Festinger, Leon 1957. A Theory of Cognitive Dissonance. Stanford, CA: Stanford University Press.CrossRefGoogle Scholar
Flammer, Caroline. 2013. “Corporate Social Responsibility and Shareholder Reaction: The Environmental Awareness of Investors.” Academy of Management Journal 56 (3): 758–81.CrossRefGoogle Scholar
Gillan, Stuart L., and Martin, John D.. 2007. “Corporate Governance Post-Enron: Effective Reforms, or Closing the Stable Door?” Journal of Corporate Finance 13 (5): 929–58.CrossRefGoogle Scholar
Gomulya, David, and Mishina, Yuri. 2017. “Signaler Credibility, Signal Susceptibility, and Relative Reliance on Signals: How Stakeholders Change Their Evaluative Processes after Violation of Expectations and Rehabilitative Efforts.” Academy of Management Journal 60 (2): 554–83.CrossRefGoogle Scholar
Greifeneder, Rainer, Bless, Herbert, and Pham, Michel Tuan. 2011. “When Do People Rely on Affective and Cognitive Feelings in Judgment? A Review.” Personality and Social Psychology Review 15 (2): 107–41.CrossRefGoogle ScholarPubMed
Greve, Henrich R., Palmer, Donald, and Jo-Ellen Pozner. 2010. “Organizations Gone Wild: The Causes, Processes, and Consequences of Organizational Misconduct.” Academy of Management Annals 4 (1): 53107.CrossRefGoogle Scholar
Hadani, Michael. 2007. “Family Matters: Founding Family Firms and Corporate Political Activity.” Business & Society 46 (4): 395428.CrossRefGoogle Scholar
Hadani, Michael. 2012. “Institutional Ownership Monitoring and Corporate Political Activity: Governance Implications.” Journal of Business Research 65 (7): 944–50.CrossRefGoogle Scholar
Hadani, Michael, and Schuler, Douglas A.. 2013. “In Search of El Dorado: The Elusive Financial Returns on Corporate Political InvestmentsStrategic Management Journal 34 (2): 165–81.CrossRefGoogle Scholar
Hadani, Michael, Bonardi, Jean-Philippe, and Dahan, Nicholas M.. 2017. “Corporate Political Activity, Public Policy Uncertainty, and Firm Outcomes: A Meta-Analysis.” Strategic Organization 15 (3): 338–66.CrossRefGoogle Scholar
Hassan, Mohammad Kabir, Unsal, Omer, and Hippler, William J. III. 2020. “Financial Industry Lobbying and Shareholder Litigation Outcomes: Implications for Managers and Regulators.” Research in International Business and Finance 53: 101207.CrossRefGoogle Scholar
Hiatt, Shon R, Sine, Wesley D., and Tolbert, Pamela S.. 2009. “From Pabst to Pepsi: The Deinstitutionalization of Social Practices and the Creation of Entrepreneurial Opportunities.” Administrative Science Quarterly 54 (4): 635–67.CrossRefGoogle Scholar
Hillman, Amy J., Keim, Gerald D., and Schuler, Douglas. 2004. “Corporate Political Activity: A Review and Research Agenda.” Journal of Management 30 (6): 837–57.CrossRefGoogle Scholar
Hoffman, Andrew J., and Ocasio, William. 2001. “Not All Events Are Attended Equally: Toward a Middle-Range Theory of Industry Attention to External Events.” Organization Science 12 (4): 414–34.CrossRefGoogle Scholar
Ingram, Paul, and Clay, Karen. 2000. “The Choice-within-Constraints New Institutionalism and Implications for Sociology.” Annual Review of Sociology 26: 525–46.CrossRefGoogle Scholar
Jain, Pankaj K. and Rezaee, Zabihollah. 2006. “The Sarbanes-Oxley Act of 2002 and Capital-Market Behavior: Early Evidence.” Contemporary Accounting Research 23 (3): 629–54.CrossRefGoogle Scholar
Jensen, Michael. 2006. “Should We Stay or Should We Go? Accountability, Status Anxiety, and Client Defections.” Administrative Science Quarterly 51 (1): 97128.CrossRefGoogle Scholar
Jia, Nan. 2018. “The ‘Make and/or Buy’ Decisions of Corporate Political Lobbying: Integrating the Economic Efficiency and Legitimacy Perspectives.” Academy of Management Review 43 (2): 307–26.CrossRefGoogle Scholar
Jonsson, Stefan, Greve, Henrich R., and Fujiwara-Greve, Takako. 2009. “Undeserved Loss: The Spread of Legitimacy Loss to Innocent Organizations in Response to Reported Corporate Deviance.” Administrative Science Quarterly 54 (2): 195228.CrossRefGoogle Scholar
Kim, Jin Hyung. 2019. “Is Your Playing Field Unleveled? US Defense Contracts and Foreign Firm Lobbying.” Strategic Management Journal 40 (12): 1911–37.CrossRefGoogle Scholar
King, Andrew A., and Lenox, Michael J.. 2000. “Industry Self-Regulation without Sanctions: The Chemical Industry's Responsible Care Program.” Academy of Management Journal 43 (4): 698716.CrossRefGoogle Scholar
Koehler, Jonathan J., and Gershoff, Andrew D.. 2003. “Betrayal Aversion: When Agents of Protection Become Agents of Harm.” Organizational Behavior and Human Decision Processes 90 (2): 244–61.CrossRefGoogle Scholar
Kumar, M. V. Shyam, Jaya Dixit, and Bill Francis, . 2015. “The Impact of Prior Stock Market Reactions on Risk Taking in Acquisitions.” Strategic Management Journal 36 (13): 2111–21.CrossRefGoogle Scholar
Lang, Larry H. P., and Stulz, Rene M.. 1992. “Contagion and Competitive Intra-industry Effects of Bankruptcy Announcements: An Empirical Analysis.” Journal of Financial Economics 32 (1): 4560.CrossRefGoogle Scholar
Lange, Donald, and Washburn, Nathan T.. 2012. “Understanding Attributions of Corporate Social Irresponsibility.” Academy of Management Review 37 (2): 300326.CrossRefGoogle Scholar
Lange, Donald, Lee, Peggy M., and Dai, Ye. 2011. “Organizational Reputation: A Review.” Journal of Management 37 (1): 153–84.CrossRefGoogle Scholar
Lin, Chen, Morck, Randall, Yeung, Bernard, and Zhao, Xiaofeng. 2016. “Anti-corruption Reforms and Shareholder Valuations: Event Study Evidence from China.” Working Paper 22001, National Bureau of Economic Research. Accessed 6 April 2023, https://www.nber.org/system/files/working_papers/w22001/revisions/w22001.rev2.pdf.Google Scholar
Livak, Kate. 2007. “The Effect of the Sarbanes-Oxley Act on Non-US Companies Cross-Listed in the US.” Journal of Corporate Finance 13 (2–3): 195228.CrossRefGoogle Scholar
Lux, Sean, Crook, Russell T., and Woehr, David J.. 2011. “Mixing Business with Politics: A Meta-analysis of the Antecedents and Outcomes of Corporate Political Activity.” Journal of Management 37 (1) 223–47.CrossRefGoogle Scholar
Masters, Marick F., and Keim, Gerald D.. 1985. “Determinants of PAC Participation among Large Corporations.” Journal of Politics 47 (4): 1158–73.CrossRefGoogle Scholar
McCrain, Joshua. 2018. “Revolving Door Lobbyists and the Value of Congressional Staff Connections.” Journal of Politics 80 (4): 1369–83.CrossRefGoogle Scholar
McDonnell, Mary-Hunter, and King, Brayden G.. 2018. “Order in the Court: How Firm Status and Reputation Shape the Outcomes of Employment Discrimination Suits.” American Sociological Review 83 (1): 6187.CrossRefGoogle Scholar
McGrath, Conor. 2006. “The Ideal Lobbyist: Personal Characteristics of Effective Lobbyists.” Journal of Communication Management 10 (1): 6779.CrossRefGoogle Scholar
McWilliams, Abagail, and Siegel, Donald. 1997. “Event Studies in Management Research: Theoretical and Empirical Issues.” Academy of Management Journal 40 (3): 626–57.CrossRefGoogle Scholar
Mellahi, Kamel, Frynas, Jędrzej G., Sun, Pei, and Donald Siegel, D. 2016. “A Review of the Nonmarket Strategy Literature: Toward a Multi-theoretical Integration.” Journal of Management 42 (1): 143–73.CrossRefGoogle Scholar
Meznar, Martin B., and Nigh, Douglas. 1995. “Buffer or Bridge? Environmental and Organizational Determinants of Public Affairs Activities in American Firms.” Academy of Management Journal 38 (4): 975–96.CrossRefGoogle Scholar
Mishina, Yuri, Block, Emily S., and Mannor, Michael J.. 2012. “The Path Dependence of Organizational Reputation: How Social Judgment Influences Assessments of Capability and Character.” Strategic Management Journal 33 (5): 459–77.CrossRefGoogle Scholar
Moore, Don A., Tetlock, Philip E., Tanlu, Lloyd, and Bazerman, Max H.. 2006. “Conflicts of Interest and the Case of Auditor Independence: Moral Seduction and Strategic Issue Cycling.” Academy of Management Review 31(1): 1029.CrossRefGoogle Scholar
Naumovska, Ivana, and Zajac, Edward J.. 2021. “How Inductive and Deductive Generalization Shape the Guilt-by-Association Phenomenon among Firms: Theory and Evidence.” Organization Science 33 (1): 373–92.CrossRefGoogle Scholar
Ocasio, William. 1997. “Towards an Attention-Based View of the Firm.” Strategic Management Journal 18(S1): 187206.3.0.CO;2-K>CrossRefGoogle Scholar
Paruchuri, Srikanth, and Misangyi, Vilmos F.. 2015. “Investor Perceptions of Financial Misconduct: The Heterogeneous Contamination of Bystander Firms.” Academy of Management Journal 58 (1): 169–94.CrossRefGoogle Scholar
Paruchuri, Srikanth, Han, Jung-Hoon, and Prakash, Puneet. 2021. “Salient Expectations? Incongruence across Capability and Integrity Signals and Investor Reactions to Organizational Misconduct.” Academy of Management Journal 64 (2): 562–86.CrossRefGoogle Scholar
Paruchuri, Srikanth, Pollock, Timothy G., and Kumar, Naveen. 2019. “On the Tip of the Brain: Understanding when Negative Reputational Events can have Positive Reputation Spillovers, and for How Long.” Strategic Management Journal 40 (12): 1965–83.CrossRefGoogle Scholar
Pfarrer, Michael D., Decelles, Katherine A., Smith, Ken G., and Susan Taylor, M.. 2008. “After the Fall: Reintegrating the Corrupt Organization.” Academy of Management Review 33 (3): 730–49.CrossRefGoogle Scholar
Piazza, Alessandro, and Jourdan, Julien. 2018. “When the Dust Settles: The Consequences of Scandals for Organizational Competition.” Academy of Management Journal 61 (1): 165–90.CrossRefGoogle Scholar
Pozner, Jo-Ellen, Mohliver, Aharon, and Moore, Celia. 2019. “Shine a Light: How Firm Responses to Announcing Earnings Restatements Changed after Sarbanes-Oxley.” Journal of Business Ethics 160 (2): 427–43.CrossRefGoogle Scholar
Pryor, John B, Reeder, Glenn D., and Monroe, Andrew E.. 2012. “The Infection of Bad Company: Stigma by Association.” Journal of Personality and Social Psychology 102 (2): 224–41.CrossRefGoogle ScholarPubMed
Rajwani, Tazeeb, Lawton, Thomas, and Phillips, Nelson. 2015. “The ‘Voice of Industry’: Why Management Researchers Should Pay More Attention to Trade Associations.” Strategic Organization 13 (3): 224–32.CrossRefGoogle Scholar
Rehder, Bob. 2006. “When Similarity and Causality Compete in Category-Based Property Generalization.” Memory & Cognition 34 (1): 316.CrossRefGoogle ScholarPubMed
Rerup, Claus. 2009. “Attentional Triangulation: Learning from Unexpected Rare Crises.” Organization Science 20 (5): 876–93.CrossRefGoogle Scholar
Ridge, Jason W., Ingram, Amy, Abdurakhmonov, Mirzokhidjon, and Hasija, Dinesh. 2019. “Market Reactions to Non-Market Strategy: Congressional Testimony as an Indicator of Firm Political Influence.” Strategic Management Journal 40 (10): 1644–67.CrossRefGoogle Scholar
Ringquist, Evan J. 1993. “Does Regulation Matter? Evaluating the Effects of State Air Pollution Control Programs.” Journal of Politics 55 (4): 1022–45.Google Scholar
Roehm, Michelle L., and Tybout, Alice M.. 2006. “When will a Brand Scandal Spill Over, and How Should Competitors Respond?” Journal of Marketing Research 43 (3): 366–73.CrossRefGoogle Scholar
Shepherd, Michael E., and You, Hye Young. 2020. “Exit Strategy: Career Concerns and Revolving Doors in Congress.” American Political Science Review 114 (1): 270–84.CrossRefGoogle Scholar
Shin, Hyun-Han, and Stulz, Rene M.. 1998. “Are Internal Capital Markets Efficient?” Quarterly Journal of Economics 113 (2): 531–52.CrossRefGoogle Scholar
Short, Jodi L., and Toffel, Michael W.. 2010. “Making Self-Regulation More Than Merely Symbolic: The Critical Role of the Legal Environment.” Administrative Science Quarterly 55 (3): 361–96.CrossRefGoogle Scholar
Suchman, Mark C. 1995. “Managing Legitimacy: Strategic and Institutional Approaches.” Academy of Management Review 20 (3): 571610.CrossRefGoogle Scholar
Sullivan, Bilian Ni, Haunschild, Pamela, and Page, Karen. 2007. “Organizations Non Gratae? The Impact of Unethical Corporate Acts on Interorganizational Networks.” Organization Science 18 (1): 5570.CrossRefGoogle Scholar
Trump, Rebecca K., and Newman, Kevin P.. 2017. “When Do Unethical Brand Perceptions Spill Over to Competitors?” Marketing Letters 28 (2): 219–30.CrossRefGoogle Scholar
Unsal, Omer, Hassan, M. Kabir, and Zirek, Duygu. 2016. “Corporate lobbying, CEO political ideology and firm performance.” Journal of Corporate Finance 38: 126–49.CrossRefGoogle Scholar
Vandenbergh, Michael P. 2003. “Beyond Elegance: A Testable Typology of Social Norms in Corporate Environmental Compliance.” Stanford Environmental Law Journal 22 (1): 55144.Google Scholar
Vergne, Jean-Philippe. 2012. “Stigmatized Categories and Public Disapproval of Organizations: A Mixed-Methods Study of the Global Arms Industry, 1996–2007.” Academy of Management Journal 55 (5): 1027–52.CrossRefGoogle Scholar
Weber, Libby, and Mayer, Kyle J.. 2011. “Designing Effective Contracts: Exploring the Influence of Farming and Expectations.” Academy of Management Review 36 (1): 5375.CrossRefGoogle Scholar
Weidenbaum, Murray L. 1980. “Public Policy: No Longer a Spectator Sport For Business.” Journal of Business Strategy 1 (1): 4653.CrossRefGoogle Scholar
Werner, Timothy. 2017. “Investor Reaction to Covert Corporate Political Activity.” Strategic Management Journal 38 (12): 2424–43.CrossRefGoogle Scholar
Xi, Bo, Veeranki, Sreenivas P., Zhao, Min, Ma, Cgyabweu, Yan, Yinkun, and Mi, Jie. 2017. “Relationship of Alcohol Consumption to All-Cause, Cardiovascular, and Cancer-Related Mortality in US Adults.” Journal of the American College of Cardiology 70 (8): 913–22.CrossRefGoogle Scholar
Yu, Frank, and Yu, Xiaoyun. 2011. “Corporate Lobbying and Fraud Detection.” Journal of Financial and Quantitative Analysis 46 (6): 1865–91.CrossRefGoogle Scholar
Zavyalova, Anastasiya, Pfarrer, Michael D., Reger, Rhonda K., and Shapiro, Debra L.. 2012. “Managing the Message: The Effects of Firm Actions and Industry Spillovers on Media Coverage Following Wrongdoing.” Academy of Management Journal 55 (5): 10791101.CrossRefGoogle Scholar
Zhang, Ivy Xiying. 2007. “Economic Consequences of the Sarbanes-Oxley Act of 2002.” Journal of Accounting and Economics 44 (1–2): 74115.CrossRefGoogle Scholar
Figure 0

Table 1. Matching results: Differences in CAR between lobbying and non-lobbying firms at Event 1.

Figure 1

Table 2. Matching results: Differences in CAR between lobbying and non-lobbying firms at Event 2.

Figure 2

Table 3. Descriptive statistics and pairwise correlation matrix, lobbying scandal, Event 1. N = 171.

Figure 3

Table 4. Descriptive statistics and pairwise correlation matrix, lobbying scandal, Event 2. N = 93.

Figure 4

Figure 1. Interaction effect of revolving-door lobbyists on the negative relationship between the level of lobbying and shareholders’ reactions.

Figure 5

Table 5. Regression results, Jack Abramoff lobbying scandal, Event 1. N = 171.

Figure 6

Table 6. Regression results, legal remedy, Event 2. N = 93.

Figure 7

Table A1. List of corrupt lobbying scandals in the United States and the United Kingdom.

Figure 8

Table B1. Variables of additional analysis of the Enron scandal.

Figure 9

Table B2. Descriptive statistics and pairwise correlation matrix, Enron scandal, Event 1. N = 192.

Figure 10

Table B3. Descriptive statistics and pairwise correlation matrix, Enron scandal, Event 2. N = 175.

Figure 11

Table B4. Regression Results, Enron scandal, Event 1. N = 192.

Figure 12

Table B5. Regression Results, Enron scandal, Event 2. N = 175.

Figure 13

Figure B1. Interaction effect of lobbying expenditures on the positive relationship between using Arthur Andersen and shareholders’ reactions to the introduction of the Sarbanes-Oxley Act.