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Knowledge exploration and innovation: A review and an inverse S-curve proposition

Published online by Cambridge University Press:  03 October 2016

Ben Nanfeng Luo ,
Steven Lui ,
Chih-Hsing Liu  and
Rongrong Zhang
Ben Nanfeng Luo*
Affiliation:
School of Labor and Human Resources, Renmin University of China, Room 226, Qiushi Building, No. 59, Zhongguancun Street, Haidian District, Beijing, 100872, China
Steven Lui
Affiliation:
School of Management, UNSW Business School, UNSW Australia, Sydney
Chih-Hsing Liu
Affiliation:
Department of Leisure and Recreation Administration, Ming Chuan University, Taiwan
Rongrong Zhang
Affiliation:
School of Business, University of Alberta, Edmonton, AB, Canada
*
Corresponding author: [email protected]
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Abstract

Firms today thrive on innovation. Knowledge exploration, the nonlocal search for new knowledge beyond the firm’s current expertise, is posited to be critical for innovation. This paper seeks to contribute to the research on knowledge exploration in two ways. First, this paper provides a comprehensive review of key empirical studies on knowledge exploration and innovation. Second, this paper proposes a recombinatory search framework of innovation to reconceptualise extant understanding of knowledge exploration on innovation. This new framework focusses on the evolution of the benefits and costs of knowledge exploration, and puts forward an inverse S-curve proposition between knowledge exploration and innovation. Two company cases, IBM and Procter & Gamble, are then used to illustrate the new proposition.

Keywords

knowledge acquisition and sharingknowledge managementknowledge sourcingknowledge stocks and flowstechnology and innovation
Type
Research Article
Information
Journal of Management & Organization , Volume 24 , Issue 6 , November 2018 , pp. 870 - 892
Copyright
© Cambridge University Press and Australian and New Zealand Academy of Management 2016 

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References

Agarwal, R., & Selen, W. (2013). The incremental and cumulative effects of dynamic capability building on service innovation in collaborative service organizations. Journal of Management & Organization, 19(5), 521–543.Google Scholar
Ahuja, G., & Katila, R. (2001). Technological acquisitions and the innovation performance of acquiring firms: A longitudinal study. Strategic Management Journal, 22(3), 197–220.Google Scholar
Ahuja, G., & Katila, R. (2004). Where do resources come firm? The role of idiosyncratic situations. Strategic Management Journal, 25(8/9), 887–907.Google Scholar
Ahuja, G., & Lampert, C. M. (2001). Entrepreneurship in the large corporation: A longitudinal study of how established firms create breakthrough inventions. Strategic Management Journal, 22(6/7), 521–543.Google Scholar
Ahuja, G., Lampert, C. M., & Tandon, V. (2008). Moving beyond Schumpeter: Management research on the determinants of technological innovation. Academy of Management Annals, 2(1), 1–98.Google Scholar
Aloini, D., & Martini, A. (2013). Exploring the exploratory search for innovation: A structural equation modelling test for practices and performance. International Journal of Technology Management, 61(1), 23–46.Google Scholar
Anderson, P. (1999). Complexity theory and organization science. Organization Science, 10(3), 216–232.Google Scholar
Andriopoulos, C., & Lewis, M. W. (2010). Managing innovation paradoxes: Ambidexterity lessons from leading product design companies. Long Range Planning, 43(1), 104–122.Google Scholar
Argote, L., & Ingram, P. (2000). Knowledge transfer: A basis for competitive advantage in firms. Organizational Behavior and Human Decision Processes, 82(1), 150–169.Google Scholar
Benner, M. J., & Tushman, M. L. (2003). Exploitation, exploration, and process management: The productivity dilemma revisited. Academy of Management Review, 28(2), 238–256.Google Scholar
Berry, H. (2014). Global integration and innovation: Multicountry knowledge generation within MNCs. Strategic Management Journal, 35, 869–890.Google Scholar
Bhaskarabhatla, A., & Hegde, D. (2014). An organizational perspective on patenting and open innovation. Organization Science, 25(6), 1744–1763.Google Scholar
Bierly, P. E. III, Damanpour, F., & Santoro, M. D. (2009). The application of external knowledge: Organizational conditions for exploration and exploitation. Journal of Management Studies, 46(3), 481–509.Google Scholar
Bojica, A. M., del Mar Fuentes, M., & Gómez-Gras, J. M. (2011). Radical and incremental entrepreneurial orientation: The effect of knowledge acquisition. Journal of Management & Organization, 17(3), 326–343.Google Scholar
Breschi, S., Lissoni, F., & Malerba, F. (2003). Knowledge-relatedness in firm technological diversification. Research Policy, 32(1), 69–87.Google Scholar
Brown, S. L., & Eisenhardt, K. M. (1997). The art of continuous change: Linking complexity theory and time-paced evolution in relentlessly shifting organizations. Administrative Science Quarterly, 42(1), 1–34.Google Scholar
Cabello-Medina, C., Carmona-Lavado, A., & Valle-Cabrera, R. (2006). Identifying the variables associated with types of innovation, radical or incremental: Strategic flexibility, organisation and context. International Journal of Technology Management, 35(1–4), 80–106.Google Scholar
Casadesus-Masanell, R., & Ricart, J. E. (2010). From strategy to business models and onto tactics. Long Range Planning, 43(2), 195–215.Google Scholar
Cecere, G. (2015). The economics of innovation: A review article. Journal of Technology Transfer, 40(2), 185–197.Google Scholar
Chatterji, A. K., & Fabrizio, K. R. (2014). Using users: When does external knowledge enhance corporate product innovation? Strategic Management Journal, 35(10), 1427–1445.Google Scholar
Cheng, C. C., & Shiu, E. C. (2015). The inconvenient truth of the relationship between open innovation activities and innovation performance. Management Decision, 53(3), 625–647.Google Scholar
Choi, D., Lee, S., & Kim, Y. (2012). The complementarities and contextualities of corporate R&D strategies: An empirical analysis of Korean manufacturing industry. Journal of Management & Organization, 18(3), 311–333.Google Scholar
Contractor, F. J., Kundu, S. K., & Hsu, C. C. (2003). A three-stage theory of international expansion: The link between multinationality and performance in the service sector. Journal of International Business Studies, 34(1), 5–18.Google Scholar
Crossan, M. M., & Apaydin, M. (2010). A multi-dimensional framework of organizational innovation: A systematic review of the literature. Journal of Management Studies, 47(6), 1154–1191.Google Scholar
Demil, B., & Lecocq, X. (2010). Business model evolution: In search of dynamic consistency. Long Range Planning, 43(2), 227–246.Google Scholar
Dittrich, K., Duysters, G., & de Man, A. (2007). Strategic repositioning by means of alliance networks: The case of IBM. Research Policy, 36(10), 1496–1511.Google Scholar
Dodgson, M., Gann, D., & Salter, A. (2006). The role of technology in the shift towards open innovation: The case of Procter & Gamble. R & D Management, 36(3), 333–346.Google Scholar
Drake, M.P., Sakkab, N., & Jonash, R. (2006). Maximizing return on innovation investment. Research Policy, 49(6), 32–41.Google Scholar
Epple, D., Argote, L., & Devadas, R. (1991). Organizational learning curves: A method for investigating intra-plant transfer of knowledge acquired through learning by doing. Research Policy, 2(1), 58–70.Google Scholar
Fu, W., Diez, J. R., & Schiller, D. (2013). Interactive learning, informal networks and innovation: Evidence from electronics firm survey in the Pearl River Delta, China. Research Policy, 43(3), 635–646.Google Scholar
Fleming, L., & Sorenson, O. (2001). Technology as a complex adaptive system: Evidence from patent data. Research Policy, 30(7), 1019–1039.Google Scholar
Frankort, H. T. W. (2016). When does knowledge acquisition in R&D alliances increase new product development? The moderating roles of technological relatedness and product-market competition. Research Policy, 45, 291–302.Google Scholar
Garriga, H., von Krogh, G., & Spaeth, S. (2013). How constraints and knowledge impact open innovation. Strategic Management Journal, 34(9), 1134–1144.Google Scholar
Gerstner, L. V. (2002). Who says elephants can’t dance? Inside IBM’s historic turnaround. New York, NY: HarperCollins.Google Scholar
Grant, R. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(Winter Special Issue), 109–122.Google Scholar
Gupta, A. K., Smith, K. G., & Shalley, C. E. (2006). The interplay between exploration and exploitation. Academy of Management Journal, 49(4), 693–706.Google Scholar
Harryson, S., Kliknaite, S., & Dudkowski, R. (2008). Flexibility in innovation through external learning: Exploring two models for enhanced industry-university collaboration. International Journal of Technology Management, 41(1–2), 109–137.Google Scholar
Hansen, M. T. (1999). The search-transfer problem: The role of weak ties in sharing knowledge across organization subunits. Administrative Science Quarterly, 44(1), 82–111.Google Scholar
Hashai, N. (2014). Within-industry diversification and firm performance – an s-shaped hypothesis. Strategic Management Journal, 36(9), 1378–1400.Google Scholar
Hauser, J., Tellis, G. J., & Griffin, A. (2006). Research on innovation: A review and agenda for marketing science. Marketing Science, 25(6), 687–717.Google Scholar
He, Z. L., & Wong, P. K. (2004). Exploration vs. exploitation: An empirical test of the ambidexterity hypothesis. Organization Science, 15(4), 481–494.Google Scholar
Henderson, R. M., & Clark, K. B. (1990). Architectural innovation: The reconfiguration of existing product technologies and the failure of established firms. Administrative Science Quarterly, 39(1), 9–30.Google Scholar
Huang, F., Rice, J., & Martin, N. (2015). Does open innovation apply to China? Exploring the contingent role of external knowledge sources and internal absorptive capacity in Chinese large firms and SMEs. Journal of Management and Organization, 21(5), 594–613.Google Scholar
Huston, L., & Sakkab, N. (2006). Connect and develop: Inside Procter & Gamble’s new model for innovation. Harvard Business Review, 84(3), 58–66.Google Scholar
Isaksson, O. H. D., Simeth, M., & Seifert, R. W. (2016). Knowledge spillovers in the supply chain: Evidence from the high tech sectors. Research Policy, 45, 699–706.Google Scholar
Katila, R., & Ahuja, G. (2002). Something old, something new: A longitudinal study of search behavior and new product introduction. Academy of Management Journal, 45(6), 1183–1194.Google Scholar
Kauffman, S. (1993). The origins of order . New York, NY: Oxford University Press.Google Scholar
Kauffman, S. (1995). At home in the universe. New York, NY: Oxford University Press.Google Scholar
Kim, S. K., Arthurs, J. D., Sahaym, A., & Cullen, J. B. (2013). Search behavior of the diversified firm: The impact of fit on innovation. Strategic Management Journal, 34(8), 999–1009.Google Scholar
Kim, Y., & Lui, S. S. (2015). The impacts of external network and business group on innovation: Do the types of innovation matter? Journal of Business Research, 68(9), 1964–1973.Google Scholar
Kogut, B., & Zander, U. (1992). Knowledge of the firm, combinative capabilities, and the replication of technology. Organization Science, 3(3), 383–397.Google Scholar
Kuhn, T. S. (1970). The structure of scientific revolutions. Chicago, IL: University of Chicago Press.Google Scholar
Laursen, K., Masciarelli, F., & Prencipe, A. (2012). Regions matter: How localized social capital affects innovation and external knowledge acquisition. Organization Science, 23(1), 177–193.Google Scholar
Laursen, K., & Salter, A. (2006). Open for innovation: The role of openness in explaining innovation performance among UK manufacturing firms. Strategic Management Journal, 27(2), 131–150.Google Scholar
Laursen, K., & Salter, A. (2014). The paradox of openness: Appropriability, external search and collaboration. Research Policy, 43, 867–878.Google Scholar
Lee, K., Rho, S., Kim, S., & Jun, G. J. (2007). Creativity-innovation cycle for organisational exploration and exploitation: Lessons from neowiz – a Korean internet company. Long range planning. Long Range Planning, 40(4/5), 505–523.Google Scholar
Levinthal, D. A. (1997). Adaptation on rugged landscapes. Management Science, 43(7), 934–950.Google Scholar
Li, Q., Maggitti, P. G., Smith, K. G., Tesluk, P. E., & Katila, R. (2013). Top management attention to innovation: The role of search selection and intensity in new product introductions. Academy of Management Journal, 56(3), 893–916.Google Scholar
Lin, C. J., & Chen, C. C. (2015). The responsive-integrative framework, outside-in and inside-out mechanisms and ambidextrous innovation. International Journal of Technology Management, 67(2–4), 148–173.Google Scholar
Lopez-Vega, H., Tell, F., & Vanhaverbeke, W. (2016). Where and how to search? Search paths in open innovation. Research Policy, 45, 125–136.Google Scholar
Love, J. H., Roper, S., & Vahter, P. (2014). Learning from openness: The dynamics of breadth in external innovation linkages. Strategic Management Journal, 35(11), 1703–1716.Google Scholar
Lu, W. J., & Beamish, P. W. (2004). International diversification and firm performance: The S-curve hypothesis. Academy of Management Journal, 47(4), 598–609.Google Scholar
March, J. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71–87.Google Scholar
McGrath, R. G. (2001). Exploratory learning, innovative capacity, and managerial oversight. Academy of Management Journal, 44(1), 118–131.Google Scholar
Messeni, P. A., & Savino, T. (2014). Search, recombination, and innovation: Lessons from haute cuisine. Long Range Planning, 47(4), 224–238.Google Scholar
Meyer, M. H., Anzani, M., & Walsh, G. (2005a). Organizational change for enterprise growth. Research-Technology Management, 48(6), 48–56.Google Scholar
Meyer, M. H., Anzani, M., & Walsh, G. (2005b). Innovation and enterprise growth. Research-Technology Management, 48(4), 34–44.Google Scholar
Nahapiet, J., & Ghoshal, S. (1998). Strategic alliances and interfirm knowledge transfer. Academy of Management Review, 23(2), 242–266.Google Scholar
Nerkar, A. (2003). Old is gold? The value of temporal exploration in the creation of new knowledge. Management Science, 49(2), 211–229.Google Scholar
Nelson, R. R., & Winter, S. G. (1982). An evolutionary theory of economic change. Cambridge, MA: Harvard University Press.Google Scholar
Nicholas, J., Ledwith, A., Aloini, D., Martini, A., & Nosella, A. (2015). Searching for radical new product ideas: Exploratory and confirmatory factor analysis for construct validation. International Journal of Technology Management, 68(1/2), 70–98.Google Scholar
Operti, E., & Carnabuci, G. (2014). Public knowledge, private gain: The effect of spillover networks on firms’ innovative performance. Journal of Management, 40(4), 1042–1074.Google Scholar
Pfeffer, J. (1993). Barriers to the advance of organizational science: Paradigm development as a dependent variable. Academy of Management Review, 18(4), 599–620.Google Scholar
Phene, A., Fladmoe-Lindquist, K., & Marsh, L. (2006). Breakthrough innovation in the US biotechnology industry: The effects of technological space and geographic origins. Strategic Management Journal, 27(4), 369–388.Google Scholar
Pierce, J. R., & Aguinis, H. (2013). The too-much-of-a-good-thing effect in management. Journal of Management, 39(2), 313–388.Google Scholar
Piezunka, H., & Dahlander, L. (2015). Distant search, narrow attention: How crowding alters organizations’ filtering of suggestions in crowdsourcing. Academy of Management Journal, 58(3), 856–880.Google Scholar
Raisch, S., Birkinshaw, J., Probst, G., & Tushman, M. L. (2009). Organizational ambidexterity: Balancing exploitation and exploration for sustained performance. Organization Science, 20(4), 685–695.Google Scholar
Rice, J., Liao, T. S., Martin, N., & Galvin, P. (2012). The role of strategic alliances in complementing firm capabilities. Journal of Management & Organization, 18(6), 858–869.Google Scholar
Roper, S., & Hewitt-Dundas, N. (2016). Knowledge stocks, knowledge flows and innovation: Evidence from matched patents and innovation panel data. Research Policy, 44, 1327–1340.Google Scholar
Rosenkopf, L., & McGrath, P. (2011). Advancing the conceptualization and operationalization of novelty in organizational research. Organization Science, 22(5), 1297–1311.Google Scholar
Rosenkopf, L., & Nerkar, A. (2001). Beyond local search: Boundary-spanning, exploration, and impact in the optical disk industry. Strategic Management Journal, 22(4), 287–306.Google Scholar
Schumpeter, J. (1950). Capitalism, socialism, and democracy (3rd ed.). New York, NY: Harper.Google Scholar
Scott, S. G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of Management Journal, 37(3), 580–607.Google Scholar
Shafique, M. (2013). Thinking inside the box? Intellectual structure of the knowledge base of innovation research (1988–2008). Strategic Management Journal, 34(1), 62–93.Google Scholar
Sidhu, J. S., Commandeur, H. R., & Volberda, H. W. (2007). The multifaceted nature of exploration and exploitation: Value of supply, demand, and spatial search for innovation. Organization Science, 18(1), 20–39.Google Scholar
Siggelkow, N. (2007). Persuasion with case studies. Academy of Management Journal, 50(1), 20–24.Google Scholar
Soosay, C., & Hyland, P. (2008). Exploration and exploitation: The interplay between knowledge and continuous innovation. International Journal of Technology Management, 42(1–2), 20–35.Google Scholar
Starbuck, W. H. (2006). The production of knowledge: The challenge of social science research. Oxford: Oxford University Press.Google Scholar
Wadhwa, A., & Kotha, S. (2006). Knowledge creation through external venturing: Evidence from the telecommunications equipment manufacturing industry. Academy of Management Journal, 49(4), 819–835.Google Scholar
Waldrop, M. M. (1992). Complexity: The emerging science at the edge of order & chaos. New York, NY: Simon and Schuster.Google Scholar
Wang, C., Rodan, S., Fruin, M., & Xu, X. (2014). Knowledge networks, collaboration networks, and exploratory innovation. Academy of Management Journal, 57(2), 454–514.Google Scholar
Wu, J., & Shanley, M. T. (2009). Knowledge stock, exploration, and innovation: Research on the United States electro medical device industry. Journal of Business Research, 62(4), 474–483.Google Scholar
Yayavaram, S., & Ahuja, G. (2008). Decomposability in knowledge structure and its impact on the usefulness of inventions and knowledge-base malleability. Administrative Science Quarterly, 53(2), 333–362.Google Scholar
Yayavaram, S., & Chen, W. R. (2015). Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity. Strategic Management Journal, 36(3), 377–396.Google Scholar
Yoon, W., Lee, D. Y., & Song, J. (2015). Alliance network size, partner diversity, and knowledge creation in small biotech firms. Journal of Management & Organization, 21(5), 614–626.Google Scholar
Zheng, S., Li, H., & Wu, X. (2013). Network resources and the innovation performance: Evidence from Chinese manufacturing firms. Management Decision, 51(6), 1207–1224.Google Scholar
Zhou, K. Z., & Li, C. B. (2012). How knowledge affects radical innovation: Knowledge base, market knowledge acquisition, and internal knowledge sharing. Strategic Management Journal, 33(9), 1090–1102.Google Scholar