Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-23T00:39:04.849Z Has data issue: false hasContentIssue false

“I” feel(s) left out: The importance of information and communication technology in personnel selection research

Published online by Cambridge University Press:  22 September 2021

Nicolas Roulin*
Affiliation:
Saint Mary’s University
Markus Langer
Affiliation:
Universität des Saarlandes
Joshua S. Bourdage
Affiliation:
University of Calgary
*
*Corresponding author. Email: [email protected]

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Commentaries
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Acikgoz, Y., Davison, K. H., Compagnone, M., & Laske, M. (2020). Justice perceptions of artificial intelligence in selection. International Journal of Selection and Assessment, 28(4), 399416. https://doi.org/10.1111/ijsa.12306 CrossRefGoogle Scholar
Basch, J. M., & Melchers, K. G. (2019). Fair and Flexible?! Explanations can improve applicant reactions toward asynchronous video interviews. Personnel Assessment and Decisions, 5(3), Article 2. https://doi.org/10.25035/pad.2019.03.002 CrossRefGoogle Scholar
Basch, J. M., Melchers, K. G., Kegelmann, J., & Lieb, L. (2020). Smile for the camera! The role of social presence and impression management in perceptions of technology-mediated interviews. Journal of Managerial Psychology, 35(4), 285299. https://doi.org/10.1108/JMP-09-2018-0398 CrossRefGoogle Scholar
Basch, J. M., Melchers, K. G., Kurz, A., Krieger, M., & Miller, L. (2021). It takes more than a good camera: Which factors contribute to differences between face-to-face interviews and videoconference interviews regarding performance ratings and interviewee perceptions? Journal of Business and Psychology. https://doi.org/10.1007/s10869-020-09714-3 CrossRefGoogle Scholar
Berkelaar, B. L. (2017). Different ways new information technologies influence conventional organizational practices and employment relationships: The case of cybervetting for personnel selection. Human Relations, 70(9), 11151140. https://doi.org/10.1177/0018726716686400 CrossRefGoogle Scholar
Blacksmith, N., Willford, J. C., & Behrend, T. S. (2016). Technology in the employment interview: A meta-analysis and future research agenda. Personnel Assessment and Decisions, 2(1), 1220. https://doi.org/10.25035/pad.2016.002 CrossRefGoogle Scholar
Chapman, D. S., Uggerslev, K. L., & Webster, J. (2003). Applicant reactions to face-to-face and technology-mediated interviews: A field investigation. Journal of Applied Psychology, 88(5), 944953. https://doi.org/10.1037/0021-9010.88.5.944 CrossRefGoogle ScholarPubMed
Cook, R., Jones-Chick, R., Roulin, N., & O’Rourke, K. (2020). Job seekers’ attitudes toward cybervetting: Scale development, validation, and platform comparison. International Journal of Selection and Assessment, 28(4), 383398. https://doi.org/10.1111/ijsa.12300 CrossRefGoogle Scholar
Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554571. https://doi.org/10.1287/mnsc.32.5.554 CrossRefGoogle Scholar
Gonzalez, M. F., Capman, J. F., Oswald, F. L., Theys, E. R., & Tomczak, D. L. (2019). “Where’s the I-O?” Artificial intelligence and machine learning in talent management systems. Personnel Assessment and Decisions, 3, Article 5. https://doi.org/10.25035/pad.2019.03.005 CrossRefGoogle Scholar
Hickman, L., Bosch, N., Ng, V., Saef, R., Tay, L., & Woo, S. E. (2021). Automated video interview personality assessments: Reliability, validity, and generalizability investigations. PsyArXiv. https://doi:10.31234/osf.io/a62jv CrossRefGoogle Scholar
Horn, R. G., & Behrend, T. S. (2017). Video killed the interview star: Does picture-in-picture affect interview performance? Personnel Assessment and Decisions, 3(1), 5159. https://doi.org/10.25035/pad. 2017.005CrossRefGoogle Scholar
Hu, X., Barber, L.K, Parl, Y., & Day, A. (2021). Defrag and reboot? Consolidating information and communication technology research in I-O psychology. Industrial and Organizational Psychology: Perspectives on Science and Practice, 14(3), 371396.Google Scholar
Langer, M., König, C. J., & Busch, V. (2021). Changing the means of managerial work: Effects of automated decision-support systems on personnel selection tasks. Journal of Business and Psychology. doi:10.1007/s10869-020-09711-6CrossRefGoogle Scholar
Langer, M., König, C. J., & Fitili, A. (2018). Information as a double-edged sword: The role of computer experience and information on applicant reactions toward novel technologies for personnel selection. Computers in Human Behavior, 81, 1930. https://doi.org/10.1016/j.chb.2017.11.036 CrossRefGoogle Scholar
Langer, M., König, C. J., & Hemsing, V. (2020). Is anybody listening? The impact of automatically evaluated job interviews on impression management and applicant reactions. Journal of Managerial Psychology, 35(4), 271284. https://doi.org/10.1108/JMP-03-2019-0156 CrossRefGoogle Scholar
Langer, M., König, C. J., & Krause, K. (2017). Examining digital interviews for personnel selection: Applicant reactions and interviewer ratings. International Journal of Selection and Assessment, 25(4), 371382. https://doi.org/10.1111/ijsa.12191 CrossRefGoogle Scholar
Langer, M., König, C. J., & Papathanasiou, M. (2019). Highly-automated job interviews: Acceptance under the influence of stakes. International Journal of Selection and Assessment, 27, 217234. https://doi.org/10.1111/ijsa.12246 CrossRefGoogle Scholar
Lee, M. K. (2018). Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management. Big Data & Society, 5(1), Article 205395171875668. https://doi.org/10.1177/2053951718756684 CrossRefGoogle Scholar
Lukacik, E. R., Bourdage, J. S., & Roulin, N. (2021). Into the void: A conceptual model and research agenda for the design and use of asynchronous video interviews. Human Resource Management Review. https://doi.org/10.1016/j.hrmr.2020.100789 CrossRefGoogle Scholar
Melchers, K. G., Roulin, N., & Buehl, A. K. (2020). A review of applicant faking in selection interviews. International Journal of Selection and Assessment, 28(2), 123142. https://doi.org/10.1111/ijsa.12280 CrossRefGoogle Scholar
Newman, D. T., Fast, N. J., & Harmon, D. J. (2020). When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions. Organizational Behavior and Human Decision Processes, 160, 149167. https://doi.org/10.1016/j.obhdp.2020.03.008 CrossRefGoogle Scholar
Potosky, D. (2008). A Conceptual Framework for the role of the administration medium in the personnel assessment process. Academy of Management Review, 33(3), 629648. https://doi.org/10.5465/amr.2008.32465704 CrossRefGoogle Scholar
Roulin, N., & Levashina, J. (2019). LinkedIn as a new selection method: Psychometric properties and assessment approach. Personnel Psychology, 72(2), 187211. https://doi.org/10.1111/peps.12296 CrossRefGoogle Scholar
Sheridan, T. B., & Parasuraman, R. (2005). Human automation interaction. Reviews of Human Factors, 1(1), 89129. https://doi.org/10.1518/155723405783703082 CrossRefGoogle Scholar
Zhang, L., Van Iddekinge, C. H., Arnold, J. D., Roth, P. L., Lievens, F., Lanivich, S. E., & Jordan, S. L. (2020). What’s on job seekers’ social media sites? A content analysis and effects of structure on recruiter judgments and predictive validity. Journal of Applied Psychology, 105(12), 15301546. https://doi.org/https://doi.org/10.1037/apl0000490 CrossRefGoogle Scholar