감성과학 (Science of Emotion and Sensibility)

  • 제27권2호
  • /
  • Pages.91-104
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  • 2024
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  • 1226-8593(pISSN)
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  • 2383-613X(eISSN)
한국감성과학회 (Korean Society for Emotion and Sensibility)
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The Relationship Between AI Opportunity Perception and Job Insecurity: The Mediating Role of Employee's Hope and the Moderating Role of Tenure

  • 투고 : 2024.05.13
  • 심사 : 2024.05.28
  • 발행 : 2024.06.30
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초록

The increase in the use of artificial intelligence (AI) in the workplace has introduced changes to traditional working environments. However, these are changes not only to employee productivity but also to how employees feel and think about their work. Based on prior research that has suggested connections between employees' perceptions of AI and their emotions and thoughts at work, the present study tested a moderated mediation model in which the perception of AI opportunity is indirectly related to job insecurity via employee hope, with tenure as a moderator. Data obtained from 290 Korean full-time employees illustrated that the perception of AI opportunity was negatively related to job insecurity through hope acting as a mediator. In addition, this indirect relationship was found to be dependent on the moderating role of tenure. Specifically, at lower levels of tenure, the aforementioned indirect relationship was statistically significant, but at higher levels of tenure, this indirect relationship was no longer found to be statistically significant. The implications, limitations, and future research directions of this study are discussed.

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참고문헌

  1. Abdullah, M. R., & Kamil, N. L. M. (2020). Demographic characteristics and organizational citizenship behavior in public institutions. Institutions and Economies, 12(2), 89-105.
  2. Adams, M. L. (2006). The quest for tenure: job security and academic freedom. Catholic University Law Review, 56(1), 67-98.
  3. Akinadewo, I. S. (2021). Artificial intelligence and accountants' approach to accounting functions. Covenant University Journal of Politics & International Affairs (Special Edition), 9(1), 40-55.
  4. Ajithkumar, A., David, A., Jacob, A., Alex, A., & CMI, F.A. (2023). Impact of AI on employment and job opportunities. International Journal of Engineering Technology and Management Sciences, 7(4), 507-512.
  5. Al-Onizat, H. H., Alarabiat, A. A., Bani-Ata, T. J., Alawamleh, H. A., & Al-ma'aitah, M. A. (2024). Effectiveness of AI-driven knowledge management system in improving the performance of banking sector in Jordan. Journal of Information Technology Management, 16(1), 182-200.
  6. Bal, P. M., De Cooman, R., & Mol, S. T. (2013). Dynamics of psychological contracts with work engagement and turnover intention: The influence of organizational tenure. European Journal of Work and Organizational Psychology, 22(1), 107-122.
  7. Bandura, A., Freeman, W. H., & Lightsey, R. (1999). Self-efficacy: The exercise of control. Journal of Cognitive Psychotherapy, 13(2), 158-166.
  8. Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L., & Woo, S. E. (2023). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior, 45(2), 159-182.
  9. Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5(4), 323-370.
  10. Beaudry, A., & Pinsonneault, A. (2010). The other side of acceptance: Studying the direct and indirect effects of emotions on information technology use. MIS Quarterly, 34(4), 689-710.
  11. Becker, Gary S. (1964). Human Capital. New York: Columbia University Press.
  12. Bhargava, A., Bester, M., & Bolton, L. (2021). Employees' perceptions of the implementation of robotics, artificial intelligence, and automation (RAIA) on job satisfaction, job security, and employability. Journal of Technology in Behavioral Science, 6(1), 106-113.
  13. Bono, J. E., Foldes, H. J., Vinson, G., & Muros, J. P. (2007). Workplace emotions: The role of supervision and leadership. Journal of Applied Psychology, 92(5), 1357.
  14. Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185-216.
  15. Brockner, J., Grover, S., Reed, T. F., & Dewitt, R. L. (1992). Layoffs, job insecurity, and survivors' work effort: Evidence of an inverted-U relationship. Academy of Management Journal, 35(2), 413-425.
  16. Brougham, D., & Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees' perceptions of our future workplace. Journal of Management & Organization, 24(2), 239-257.
  17. Bouzari, M., & Karatepe, O. M. (2018). Antecedents and outcomes of job insecurity among salespeople. Marketing Intelligence & Planning, 36, 290-302.
  18. Chang, E. C., Chang, O. D., Li, M., Xi, Z., Liu, Y., Zhang, X., Wang, X., Li, Z., Zhang, M., Zhang, X., Chen, X. (2019). Positive emotions, hope, and life satisfaction in Chinese adults: A test of the broaden-and-build model in accounting for subjective well-being in Chinese college students. The Journal of Positive Psychology, 14(6), 829-835.
  19. Cheng, K. T., Chang, K., & Tai, H. W. (2022). AI boosts performance but affects employee emotions. Information Resources Management Journal (IRMJ), 35(1), 1-18.
  20. Chiu, Y. T., Zhu, Y. Q., & Corbett, J. (2021). In the hearts and minds of employees: A model of pre-adoptive appraisal toward artificial intelligence in organizations. International Journal of Information Management, 60, 102379.
  21. Choi, Y. H., Lee, D. G., & Lee, H. K. (2008). Validation of the Korean version of snyder's dispositional hope scale. Korean Journal of Social and Personality Psychology, 22(2), 1-16.
  22. Cooper, B., Eva, N., Fazlelahi, F. Z., Newman, A., Lee, A., & Obschonka, M. (2020). Addressing common method variance and endogeneity in vocational behavior research: A review of the literature and suggestions for future research. Journal of Vocational Behavior, 121, 103472.
  23. Diware, S. S. (2023). A review on can AI replace humans? International Journal for Research in Applied Science and Engineering Technology, 11(5), 3420-3422.
  24. Doane, L. S., Schumm, J. A., & Hobfoll, S. E. (2012). The positive, sustaining, and protective power of resources: Insights from conservation of resources theory. Handbook of Social Resource Theory: Theoretical Extensions, Empirical Insights, and Social Applications, 301-310. Springer New York.
  25. English, B., Morrison, D., & Chalon, C. (2010). Moderator effects of organizational tenure on the relationship between psychological climate and affective commitment. Journal of Management Development, 29(4), 394-408.
  26. Ersoy, A., & Ehtiyar, R. (2023). The impact of artificial intelligence on hospitality employees' work outcomes. Advances in Hospitality and Tourism Research (AHTR), 11(4), 505-526.
  27. Gkinko, L., & Elbanna, A. (2022). Hope, tolerance and empathy: employees' emotions when using an AI-enabled chatbot in a digitalized workplace. Information Technology & People, 35(6), 1714-1743.
  28. Goods, C., Veen, A., & Barratt, T. (2019). "Is your gig any good?" Analyzing job quality in the Australian platform-based food-delivery sector. Journal of Industrial Relations, 61(4), 502-527.
  29. Graham, S., Depp, C., Lee, E. E., Nebeker, C., Tu, X., Kim, H. C., & Jeste, D. V. (2019). Artificial intelligence for mental health and mental illnesses: An overview. Current Psychiatry Reports, 21, 1-18.
  30. Guo, C. (2020). The neural mechanism of positive emotion and the effect of AI + education on it. International Journal of e-Education, e-Business, e-Management and e-Learning, 10(3), 274-282.
  31. Halbesleben, J. R., Neveu, J. P., Paustian-Underdahl, S. C., & Westman, M. (2014). Getting to the "COR" understanding the role of resources in conservation of resources theory. Journal of Management, 40(5), 1334-1364.
  32. Han, E., Yin, D., & Zhang, H. (2023). Bots with feelings: Should AI agents express positive emotion in customer service?. Information Systems Research, 34(3), 1296-1311.
  33. Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional PROCESS analysis: A regression-based approach. Guilford publications.
  34. Highhouse, S., & Yuce, P. (1996). Perspectives, perceptions, and risk-taking behavior. Organizational Behavior and Human Decision Processes, 65(2), 159-167.
  35. Hirschi, A., Abessolo, M., & Froidevaux, A. (2015). Hope as a resource for career exploration: Examining incremental and cross-lagged effects. Journal of Vocational Behavior, 86, 38-47.
  36. Hobfoll, S. E. (2001). The influence of culture, community, and the nested-self in the stress process: Advancing conservation of resources theory. Applied Psychology, 50(3), 337-421.
  37. Horak, J., & Turkova, M. (2023). Using artificial intelligence as business opportunities on the market: An overview. SHS Web of Conferences, 160, 01012.
  38. Hornung, O., & Smolnik, S. (2022). AI invading the workplace: negative emotions towards the organizational use of personal virtual assistants. Electronic Markets, 1-16.
  39. Hu, Q., Lu, Y., Pan, Z., & Wang, B. (2023). How does AI use drive individual digital resilience? a conservation of resources (COR) theory perspective. Behaviour & Information Technology, 42(15), 2654-2673.
  40. Jang, B. J. (2015). A study on the job insecurity, psychological burnout, job stress and turnover intention : Focused on the hotel enterprises in Busan. Northeast Asia Tourism Research (NATR), 11(2), 41-64.
  41. Kenny, M. E., Walsh-Blair, L. Y., Blustein, D. L., Bempechat, J., & Seltzer, J. (2010). Achievement motivation among urban adolescents: Work hope, autonomy support, and achievement-related beliefs. Journal of Vocational Behavior, 77(2), 205-212.
  42. Koo, B., Curtis, C., & Ryan, B. (2021). Examining the impact of artificial intelligence on hotel employees through job insecurity perspectives. International Journal of Hospitality Management, 95, 102763.
  43. Lakshmi, K. N., & Rao, K. S. (2018). A study on role of emotional intelligence on employee performance. International Journal of Civil Engineering and Technology (IJCIET), 9(3), 440-448.
  44. Li, S., Wang, H., & Wang, S. (2021). Research on the factors that influence the labor structure of the manufacturing industry in the context of artificial intelligence. Management Review, 33(3), 307-314.
  45. Lu, C. (2020). Artificial Intelligence and Human Jobs. Macroeconomic Dynamics, 26, 1162-1201.
  46. Lu, C. (2021). The impact of artificial intelligence on economic growth and welfare. Journal of Macroeconomics, 69, 103342.
  47. Mokyr, J., Vickers, C., & Ziebarth, N. L. (2015). The history of technological anxiety and the future of economic growth: Is this time different? Journal of Economic Perspectives, 29(3), 31-50.
  48. Moser, K., & Galais, N. (2007). Self-monitoring and job performance: The moderating role of tenure. International Journal of Selection and Assessment, 15(1), 83-93.
  49. Navarro, C. G. (2023). How can artificial intelligence improve organizational psychology? A systematic review. Journal of Psychological Science and Research, 3(1), 1-15
  50. Ng, T. W., & Feldman, D. C. (2013). Does longer job tenure help or hinder job performance?. Journal of Vocational Behavior, 83(3), 305-314.
  51. Norris, D. R., & Niebuhr, R. E. (1984). Organization tenure as a moderator of the job satisfaction-job performance relationship. Journal of Vocational Behavior, 24(2), 169-178.
  52. Oh, M. (2016). The impacts of broadcasting staff's role stress, job insecurity, self-efficacy on job engagement. The Journal of the Korea Contents Association, 16(5), 449-462.
  53. Okabe, N. (2020). Positive emotions of human service employees. In Advances in Physical, Social & Occupational Ergonomics: Proceedings of the AHFE 2020 Virtual Conferences on Physical Ergonomics and Human Factors, Social & Occupational Ergonomics and Cross-Cultural Decision Making, July 16-20, 2020, USA (pp. 544-551). Springer International Publishing.
  54. Ong, A. D., Standiford, T., & Deshpande, S. (2017) Hope and stress resilience. The Oxford Handbook of Hope, 255-284. Oxford Library of Psychology.
  55. Patulny, R., Lazarevic, N., & Smith, V. (2020). 'Once more, with feeling,'said the robot: AI, the end of work and the rise of emotional economies. Emotions and Society, 2(1), 79-97.
  56. Park, J., & Jung, Y. (2020). The effects of perceived Artificial Intelligence's competence on employee's job insecurity and work cynicism: Moderated mediation by work meaningfulness. Korean Journal of Industrial and Organizational Psychology, 33(2), 145-175.
  57. Peterson, S. J., & Luthans, F. (2003). The positive impact and development of hopeful leaders. Leadership & Organization Development Journal, 24(1), 26-31.
  58. Presbitero, A., & Teng-Calleja, M. (2023). Job attitudes and career behaviors relating to employees' perceived incorporation of artificial intelligence in the workplace: A career self-management perspective. Personnel Review, 52(4), 1169-1187.
  59. Rafaeli, A., & Sutton, R. I. (1987). Expression of emotion as part of the work role. Academy of Management Review, 12(1), 23-37.
  60. Reichard, R. J., Avey, J. B., Lopez, S., & Dollwet, M. (2013). Having the will and finding the way: A review and meta-analysis of hope at work. The Journal of Positive Psychology, 8(4), 292-304.
  61. Rozman, M., Tominc, P., & Vrecko, I. (2023). Building skills for the future of work: Students' perspectives on emerging jobs in the data and AI cluster through artificial intelligence in education. Environment and Social Psychology, 8(2), 1-24.
  62. Santana-Martins, M., Nascimento, J. L., & Sanchez-Hernandez, M. I. (2022). Employees' emotional awareness as an antecedent of organizational commitment: The mediating role of affective commitment to the leader. Frontiers in Psychology, 13, 945304.
  63. Satici, S. A. (2016). Psychological vulnerability, resilience, and subjective well-being: The mediating role of hope. Personality and Individual Differences, 102, 68-73.
  64. Shimada, K. (2023). The role of artificial intelligence in mental health: A review. Science Insights, 43(5), 1119-1127.
  65. Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7(4), 422- 445.
  66. Sloane, M. (2024). Controversies, contradiction, and "participation" in AI. Big Data & Society, 11(1), 1-5.
  67. Snyder, C. R., Harris, C., Anderson, J. R., Holleran, S. A., Irving, L. M., Sigmon, S. T., Yoshinobu, L., Gibb, J., Langelle, C., & Harney, P. (1991). The will and the ways: Development and validation of an individual-differences measure of hope. Journal of Personality and Social Psychology, 60(4), 570-585.
  68. Sturman, M. C. (2003). Searching for the inverted U-shaped relationship between time and performance: Meta-analyses of the experience / performance, tenure/performance, and age/performance relationships. Journal of Management, 29(5), 609-640.
  69. Sverke, M., Hellgren, J., & Naswall, K. (2002). No security: A meta-analysis and review of job insecurity and its consequences. Journal of Occupational Health Psychology, 7(3), 242-264.
  70. Wang, C., Zhou, W. B., & Zhao, S. F. (2019). Study on the relationship between massive-scale utilization of industrial robots and job insecurity: The moderating effects of employee's career ability. Business Management Journal, 41(4), 111-126.
  71. Wang, F., Attatsitsey, W., Littrell, R. F., & Volkova, N. (2023, March). Modeling of job tenure: Insights from Russia. In Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China.
  72. Xiaomei, Z., Sen, W., & Qin, H. (2021). Impact of skill requirements on employees' thriving at work: From the perspective of artificial intelligence embedding. Foreign Economics & Management, 43(11), 15-25.
  73. Xu, G., Xue, M., & Zhao, J. (2023). The relationship of artificial intelligence opportunity perception and employee workplace well-Being: A moderated mediation model. International Journal of Environmental Research and Public Health, 20(3), 1974.
  74. Yao, J., & Yang, L. (2017). Perceived prejudice and the mental health of chinese ethnic minority college students: the chain mediating effect of ethnic identity and hope. Frontiers in Psychology, 8, 247258.
  75. Yalcm, Y., & Malkoc, A. (2015). The relationship between meaning in life and subjective well-being: Forgiveness and hope as mediators. Journal of Happiness Studies, 16, 915-929.
  76. Yang, S., Liu, K., Gai, J., & He, X. (2022). Transformation to industrial artificial intelligence and workers' mental health: Evidence from China. Frontiers in Public Health, 10, 881827
  77. Zenoff, D. B., & Zenoff, D. B. (2013). Hope from Organizations' Souls. The Soul of the Organization: How to Ignite Employee Engagement and Productivity, 117-122. Apress, Berkeley, CA.