Abstract
Abstract. This study investigates how information provided prior to the application stage of the selection process affects application intentions toward the job and organization. Existing research has focused on applicants who have already entered into the selection process; however, information revealed prior to application may cause candidates to self-select themselves out of the process. Utilizing a randomized experimental design, participants read a job ad specifying that their prerecorded interviews would be reviewed by a human or an artificial intelligence-based evaluator. The results show increased intentions to apply and pursue the job in the human evaluation condition.
References
1989). Social identity theory and the organization. Academy of Management Review, 14, 20–39. 10.5465/AMR.1989.4278999
(1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. 10.1016/0749-5978(91)90020-T
(2012). Personnel selection as a signaling game. Journal of Applied Psychology, 97, 719–738. 10.1037/a0026078
(2017). Explanation and justification in machine learning: A survey. IJCAI-17 Workshop on Explainable AI (XAI), 8, 8–13.
(2016). Nonverbal behavior and communication in the workplace: A review and an agenda for research. Journal of Management, 42, 1044–1074. 10.1177/0149206315621146
(2018). Applicants’ role as (pro-)active agents in the recruitment and selection process: A frequently overlooked perspective. Journal of Personnel Psychology, 17, 103–106. 10.1027/1866-5888/a000215
(2010). The impact of the wording of employment advertisements on students’ inclination to apply for a job. The Journal of Social Psychology, 150, 485–502. 10.1080/00224540903365422
(2004). Understanding HRM-firm performance linkages: The role of the “strength” of the HRM system. The Academy of Management Review, 29, 203–221. 10.2307/20159029
(2003). Familiarity, ambivalence, and firm reputation: Is corporate fame a double-edged sword? Journal of Applied Psychology, 88, 904–914. 10.1037/0021-9010.88.5.904
(2018). Do attractiveness and competition influence faking intentions in selection interviews? Journal of Personnel Psychology, 17, 204–208. 10.1027/1866-5888/a000208
(2001). Establishing the dimensions, sources and value of job seekers’ employer knowledge during recruitment. In G. Ferris (Ed.), Research in personnel and human resources management (Vol. 20, pp. 115–163). Bingley, UK: Emerald Group Publishing Limited.
(2003). The value of organizational reputation in the recruitment context: A brand-equity perspective. Journal of Applied Social Psychology, 33, 2244–2266. 10.1111/j.1559-1816.2003.tb01883.x
(2014). You will be known by the company you keep: Understanding the social-identity concerns of job seekers. In D. M. CableK. Y. T. Yu (Eds.), The Oxford handbook of recruitment (pp. 454–462). New York, NY: Oxford University Press.
(2017). The datafication of talent: How technology is advancing the science of human potential at work. Current Opinion in Behavioral Sciences, 18, 13–16. 10.1016/j.cobeha.2017.04.007
(2005). Applicant attraction to organizations and job choice: A meta-analytic review of the correlates of recruiting outcomes. Journal of Applied Psychology, 90, 928–944. 10.1037/0021-9010.90.5.928
(2008). Testing mediation and suppression effects of latent variables: Bootstrapping with structural equation models. Organizational Research Methods, 11, 296–325. 10.1177/1094428107300343
(2014). Employer brand equity and recruitment research. In D. M. CableK. Y. T. Yu (Eds.), The Oxford handbook of recruitment (pp. 284–297). New York, NY: Oxford University Press.
(2016). Third party employment branding: Human capital inflows and outflows following “Best Places to Work” certifications. Academy of Management Journal, 59, 90–112. 10.5465/amj.2013.1091
(2018). Toward a cognitive view of signalling theory: Individual attention and signal set interpretation. Journal of Management Studies, 55, 209–231. 10.1111/joms.12282
(2018). Using the theory of planned behavior to predict faking in selection exercises varying in fidelity. Journal of Personnel Psychology, 17, 155–160. 10.1027/1866-5888/a000211
(2005). Why are individuals attracted to organizations? Journal of Management, 31, 901–919. 10.1177/0149206305279759
(2018). Mobile health technology adoption across generations: Narrowing the digital divide. Information Systems Journal, 28, 995–1019. 10.1111/isj.12179
(1993). The perceived fairness of selection systems: An organizational justice perspective. Academy of Management Review, 18, 694–734. 10.5465/amr.1993.9402210155
(2018). Effects of organizational values and employee contact on e-recruiting. Journal of Managerial Psychology, 33, 311–324. 10.1108/JMP-03-2017-0118
(2003). Measuring attraction to organizations. Educational and Psychological Measurement, 63, 986–1001. 10.1177/0013164403258403
(2019). Information as a double-edged sword: The role of computer experience and information on applicant reactions towards novel technologies for personnel selection. Computers in Human Behavior, 81, 19–30. 10.1016/j.chb.2017.11.036
(2017). Examining digital interviews for personnel selection: Applicant reactions and interviewer ratings. International Journal of Selection and Assessment, 25, 371–382. 10.1111/ijsa.12191
(2006). A model of faking likelihood in the employment interview. International Journal of Selection and Assessment, 14, 299–316. 10.1111/j.1468-2389.2006.00353.x
(2017). The effects of predictor method factors on selection outcomes: A modular approach to personnel selection procedures. Journal of Applied Psychology, 102(1), 43–66. 10.1037/apl0000160
(2017). Applicant perspectives during selection: A review addressing “so what?,” “what’s new?,” and “where to next?”. Journal of Management, 43, 1693–1725. 10.1177/0149206316681846
(2000). A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 30, 286–297. 10.1109/3468.844354
(2008). A conceptual framework for the role of the administration medium in the personnel assessment process. Academy of Management Review, 33, 629–648. 10.5465/amr.2008.32465704
(2004). Job-seeker reactions to selection process information in job ads. International Journal of Selection and Assessment, 12, 343–355. 10.1111/j.0965-075X.2004.00289.x
(2017). A note about the corrected VIF. Statistical Papers, 58, 929–945. 10.1007/s00362-015-0732-9
(2012). A practical guide to calculating Cohen’s f2, a measure of local effect size, from PROC MIXED. Frontiers in Psychology, 3, 111. 10.3389/fpsyg.2012.00111
(1973). Job market signaling. The Quarterly Journal of Economics, 87, 355–374. 10.2307/1882010
(2009). Determining the statistical significance of relative weights. Psychological Methods, 14, 387–399. 10.1037/a0017735
(2015). RWA web: A free, comprehensive, web-based, and user-friendly tool for relative weight analyses. Journal of Business and Psychology, 30, 207–216. 10.1007/s10869-014-9351-z
(2009). Effects of explanations on applicant reactions: A meta-analytic review. International Journal of Selection and Assessment, 17, 346–361. 10.1111/j.1468-2389.2009.00478.x
(2012). Recruiting through the stages: A meta-analytic test of predictors of applicant attraction at different stages of the recruiting process. Personnel Psychology, 65, 597–660. 10.1111/j.1744-6570.2012.01254.x
(2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39, 273–315. 10.1111/j.1540-5915.2008.00192.x
(2008). The interactive effects of job advertisement characteristics and applicant experience on reactions to recruitment messages. Journal of Occupational and Organizational Psychology, 81, 619–638. 10.1348/096317907X252487
(2013). The value of suppressor effects in explicating the construct validity of symptom measures. Psychological Assessment, 25, 929–941. 10.1037/a0032781
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