The The Influence of AI Awareness Dimension on Sustainable Employability: Study from Gen X Employees in Jakarta
DOI:
https://doi.org/10.26555/humanitas.v21i2.874Keywords:
Challenge Appraisal Toward AI , Gen X, Hindrance Appraisal Toward AI , Job Crafting, Sustainable EmployabilityAbstract
This study aimed to analyze the influence of the AI awareness dimension, namely challenge and hindrance appraisal toward AI, on sustainable employability through job crafting mediation variables in Gen X employees in Jakarta. In this study, hypothesis testing and data collection were carried out cross-sectionally. The data were collected primarily by distributing questionnaires to 272 Gen X employees in Jakarta. The sample collection method used the purposive sampling method. The data processing techniques included validity tests, reliability tests, and structural equation modeling (SEM). The results of the study showed that there was a positive influence caused by challenge appraisal toward AI and job crafting on sustainable employability. Meanwhile, hindrance appraisal toward AI triggered a negative influence on sustainable employability. The company and employees were expected to collaborate in implementing AI in the work environment to support their work sustainably.
References
Alnamrouti, A., Rjoub, H., & Ozgit, H. (2022). Do strategic human resources and artificial intelligence help to make organisations more sustainable? Evidence from non-governmental organisations. Sustainability (Switzerland), 14(12), 7327. https://doi.org/10.3390/su14127327
Bakker, A. B., & Demerouti, E. (2017). Job demands-resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056
Böhmer, N., & Schinnenburg, H. (2023). Critical exploration of AI-driven HRM to build up organizational capabilities. Employee Relations, 45(5), 1057–1082. https://doi.org/10.1108/ER-04-2022-0202
Chatterjee, S., Chaudhuri, R., Thrassou, A., & Vrontis, D. (2023). International relationship management during social distancing: The role of AI-integrated social CRM by MNEs during the Covid-19 pandemic. International Marketing Review, 40(5), 1263-1294. https://doi.org/10.1108/IMR-12-2021-0372
Chen, A., Yang, T., Ma, J., & Lu, Y. (2023). Employees’ learning behavior in AI collaboration: A perspective on the job demand-control model. Industrial Management and Data Systems, 123(8), 2169–2193. https://doi.org/10.1108/IMDS-04-2022-0221
Donald, W. E., Baruch, Y., & Ashleigh, M. J. (2020). Striving for sustainable graduate careers: Conceptualization via career ecosystems and the new psychological contract. Career Development International, 25(2), 90–110. https://doi.org/10.1108/CDI-03-2019-0079
Emilisa, N., Yudhaputri, A., Dewi, I. K., & Lunarindiah, G. (2020). The impact of job demands and job resources to work engagement and job stress mediated by job crafting: A study from event organizer’s employees. International Journal of Advanced Science and Technology, 29(5), 558-566.
He, C., Teng, R., & Song, J. (2023). Linking employees’ challenge-hindrance appraisals toward AI to service performance: the influences of job crafting, job insecurity, and AI knowledge. International Journal of Contemporary Hospitality Management, 36(3), 975-994. https://doi.org/10.1108/IJCHM-07-2022-0848
He, G., Liu, P., Zheng, X., Zheng, L., Hewlin, P. F., & Yuan, L. (2023). Being proactive in the age of AI: Exploring the effectiveness of leaders’ AI symbolization in stimulating employee job crafting. Management Decision, 61(10), 2896-2919. https://doi.org/10.1108/MD-10-2022-1390
Hussain, S., Singh, A. M., Mohanty, P., & Gavinolla, M. R. (2023). Next generation employability and career sustainability in the hospitality industry 5.0. Worldwide Hospitality and Tourism Themes, 15(3), 308–321. https://doi.org/10.1108/WHATT-01-2023-0011
Irfan, S. M., Qadeer, F., Abdullah, M. I., & Sarfraz, M. (2022). Employer’s investments in job crafting to promote knowledge worker’s sustainable employability: A moderated mediation model. Personnel Review, 52(8), 2025-2047. https://doi.org/10.1108/PR-10-2021-0704
Irfan, S. M., Qadeer, F., Sarfraz, M., & Bhutta, M. K. (2023). Determinants and consequences of job crafting under the boundary conditions of work uncertainty. Career Development International, 28(6/7), 686-705. https://doi.org/10.1108/CDI-03-2023-0063
Itam, U. J., & Swetha, M. (2022). Examining the structural relationship between employee branding, TQHRM, and sustainable employability outcome in Indian organized retail. TQM Journal, 34, 5–28. https://doi.org/10.1108/TQM-03-2021-0093
Kumar, A., Bhattacharyya, S. S., & Krishnamoorthy, B. (2023). Automation-augmentation paradox in organizational artificial intelligence technology deployment capabilities: An empirical investigation for achieving simultaneous economic and social benefits. Journal of Enterprise Information Management, 36(6), 1556-1582. https://doi.org/10.1108/jeim-09-2022-0307
McKinsey&Company. (2022). What is Industry 4.0, the Fourth Industrial Revolution, and 4IR.
Neupane, S., Kyrönlahti, S., Prakash, K. C., Siukola, A., Kosonen, H., Lumme-Sandt, K., Nikander, P., & Nygård, C. H. (2022). Indicators of sustainable employability among older finnish postal service employees: A longitudinal study of age and time effects. Sustainability (Switzerland), 14(9), 5729. https://doi.org/10.3390/su14095729
Pillai, R., & Sivathanu, B. (2020). Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations. Benchmarking, 27(9), 2599–2629. https://doi.org/10.1108/BIJ-04-2020-0186
Sartori, R., Tommasi, F., Ceschi, A., Noventa, S., & Zene, M. (2023). Learning in the workplace: Evidence on the role of behavioral job crafting on fostering self-perceived employability. European Journal of Training and Development, 47(10), 133–146. https://doi.org/10.1108/EJTD-11-2022-0119
Sharma, M., Luthra, S., Joshi, S., & Kumar, A. (2022). Analyzing the impact of sustainable human resource management practices and adopting industry 4.0 technologies on employability skills. International Journal of Manpower, 43(2), 463–485. https://doi.org/10.1108/IJM-02-2021-0085
Sundaresan, S., & Zhang, Z. (2022). AI-enabled knowledge sharing and learning: Redesigning roles and processes. International Journal of Organizational Analysis, 30(4), 983–999. https://doi.org/10.1108/IJOA-12-2020-2558
Tuffaha, M., & Perello-Marin, M. R. (2022). Adoption factors of artificial intelligence in human resources management. Future of Business Administration, 1(1), 1–12. https://doi.org/10.33422/fba.v1i1.140
van Dam, K., van Vuuren, T., & Kemps, S. (2016). Sustainable employment: The importance of intrinsically valuable work and an age-supportive climate. International Journal of Human Resource Management, 28(17), 2449–2472. https://doi.org/10.1080/09585192.2015.1137607
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. In Source: MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
Xiao, Q., Yan, J., & Bamber, G. J. (2023). How does AI-enabled HR analytics influence employee resilience: job crafting as a mediator and HRM system strength as a moderator. Personnel Review. https://doi.org/10.1108/PR-03-2023-0198
Yue, Q. (2023). Study on the impact of artificial intelligence on employment and income inequality, based on technological determinism theory. Proccedings of the 8th International Conference on Financial Innovation and Economic Development (ICFIED 2023), 329–338. https://doi.org/10.2991/978-94-6463-142-5_37
Zuma, S. K. (2020). The Effects of Job Crafting on Employee Retention: The Mediating Role of Proactive Personality. In International Journal of Business and Management Review, 8(6), 24-42.
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