Main Article Content
Abstract
This study investigates the influence of artificial intelligence (AI) implementation on recruitment outcomes, focusing on the mediating role of candidate experience and the moderating effects of trust in AI and organizational culture. Using a quantitative research design, data were collected from human resource (HR) professionals across various industries in Indonesia. The results reveal that AI implementation positively affects candidate experience and the quality of hires, with candidate experience as a significant mediator in these relationships. Trust in AI is found to play a dual role, both directly influencing candidate experience and quality of hires and moderating the relationship between AI implementation and candidate experience. Organizational culture, particularly an innovation-oriented culture, strengthens the impact of AI implementation on candidate experience. The study contributes to the theoretical understanding of candidate experience as a higher-order construct and highlights the importance of trust and cultural alignment in AI-driven recruitment. Practical implications emphasize the need for transparent AI systems, regular feedback, and fostering an innovation-oriented culture to enhance recruitment outcomes. Limitations include the cross-sectional design and the focus on a single country, suggesting opportunities for future research to explore longitudinal effects and cross-cultural comparisons.
Keywords
Article Details
Copyright (c) 2025 Jamaluddin, Roslina Alam, Niniek Lantara, Andi Rosdianti Razak, St Hatidja

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
- Alam, R. (2025). Building adaptive workforces: HRM and digital competency in tourism innovation. Global Review of Tourism and Social Sciences, 1(2), 119-128. https://doi.org/10.53893/grtss.v1i2.357
- Albaroudi, E., Mansouri, T., & Alameer, A. (2024). A comprehensive review of AI techniques for addressing algorithmic bias in job hiring. AI, 5(1), 383–404. https://doi.org/10.3390/ai5010019
- Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2024). AI-powered innovation in digital transformation: key pillars and industry impact. Sustainability, 16(5), 1790. https://doi.org/10.3390/su16051790
- Aravantinos, S., Lavidas, K., Voulgari, I., Papadakis, S., Karalis, T., & Komis, V. (2024). Educational approaches with aι in primary school settings: a systematic review of the literature available in Scopus. Education Sciences, 14(7), 744. https://doi.org/10.3390/educsci14070744
- Aysolmaz, B., Müller, R., & Meacham, D. (2023). The public perceptions of algorithmic decision-making systems: results from a large-scale survey. Telematics and Informatics, 79, 101954. https://doi.org/10.1016/j.tele.2023.101954
- Balasundaram, S., Venkatagiri, S., & Sathiyaseelan, A. (2022). Using AI to enhance candidate experience in high volume hiring: a conceptual review and case study. Proceedings of the Replenish, Restructure & Reinvent: Technology Fueled Transformation for Sustainable Future, 21-22.
- Basalamah, J., Syahnur, M. H., & Basalamah, A. (2020). Recruitment and selection practice on Indonesia state-owned enterprise: a literature review. Manajemen Bisnis, 10(2), 9-16. https://doi.org/10.22219/jmb.v10i2.13093
- Becker, W. J., Connolly, T., & Slaughter, J. E. (2010). The effect of job offer timing on offer acceptance, performance, and turnover. Personnel Psychology, 63(1), 223–241. https://doi.org/10.1111/j.1744-6570.2009.01167.x
- Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., Boselie, P., Lee Cooke, F., Decker, S., DeNisi, A., Dey, P. K., Guest, D., Knoblich, A. J., Malik, A., Paauwe, J., Papagiannidis, S., Patel, C., Pereira, V., Ren, S., … Varma, A. (2023). Human resource management in the age of generative artificial intelligence: perspectives and research directions on ChatGPT. Human Resource Management Journal, 33(3), 606–659. https://doi.org/10.1111/1748-8583.12524
- Burton, J. W., Stein, M., & Jensen, T. B. (2020). A systematic review of algorithm aversion in augmented decision making. Journal of Behavioral Decision Making, 33(2), 220–239. https://doi.org/10.1002/bdm.2155
- Cascio, W. F., & Boudreau, J. W. (2016). The search for global competence: from international HR to talent management. Journal of World Business, 51(1), 103–114. https://doi.org/10.1016/j.jwb.2015.10.002
- Chen, Z. (2023). Ethics and discrimination in artificial intelligence-enabled recruitment practices. Humanities and Social Sciences Communications, 10(1), 567-579. https://doi.org/10.1057/s41599-023-02079-x
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
- Etikan, I. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. https://doi.org/10.11648/j.ajtas.20160501.11
- Ferrara, E. (2023). Fairness and bias in artificial intelligence: a brief survey of sources, impacts, and mitigation strategies. Sci, 6(1), 3. https://doi.org/10.3390/sci6010003
- Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: review of empirical research. Academy of Management Annals, 14(2), 627–660. https://doi.org/10.5465/annals.2018.0057
- Haime, A., Vallejo, A., & Schwindt-Bayer, L. (2022). Candidate experience and electoral success. Latin American Research Review, 57(1), 170–187. https://doi.org/10.1017/lar.2022.10
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
- Harianto, E., Teofilus, T., Wahyudono, D. B. K., Menny, A. H., & Azizurrohman, M. (2023). The phenomenon of discomfort toward organizational change moderated by empowering leadership. Jurnal Aplikasi Manajemen, 21(4), 863–875. https://doi.org/10.21776/ub.jam.2023.021.04.01
- Hatidja, S., Syahribulan, S., Thaha, S., Jamaluddin, J., & Azizurrohman, M. (2024). Fostering employee job satisfaction in the hospitality industry: the role of organizational culture, motivation, and appraisals mediated by service innovations case of hotels in Bali. STI Policy and Management Journal, 9(2), 56-72. https://doi.org/10.14203/STIPM.2024.402
- Horodyski, P. (2023). Applicants’ perception of artificial intelligence in the recruitment process. Computers in Human Behavior Reports, 11, 100303. https://doi.org/10.1016/j.chbr.2023.100303
- Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459
- Jamaluddin (2025). The impact of remote working on employee productivity during COVID-19 in Indonesia: the moderating role of job level and the influence of cultural adaptability. Global Review of Tourism and Social Sciences, 1(2), 88-98. https://doi.org/10.53893/grtss.v1i2.356
- Koller, K., Pankowska, P. K., & Brick, C. (2023). Identifying bias in self-reported pro-environmental behavior. Current Research in Ecological and Social Psychology, 4, 100087. https://doi.org/10.1016/j.cresp.2022.100087
- Lavidas, K., Voulgari, I., Papadakis, S., Athanassopoulos, S., Anastasiou, A., Filippidi, A., Komis, V., & Karacapilidis, N. (2024). Determinants of humanities and social sciences students’ intentions to use artificial intelligence applications for academic purposes. Information, 15(6), 314. https://doi.org/10.3390/info15060314
- Lawande, N. (2024). Exploring the trends of artificial intelligence in recruitment: a bibliometric study. International Journal of Supply and Operations Management, 11(3), 351-366. https://doi.org/10.22034/ijsom.2024.110284.3016
- Li, J., Zhou, Y., Yao, J., & Liu, X. (2021). An empirical investigation of trust in AI in a Chinese petrochemical enterprise based on institutional theory. Scientific Reports, 11(1), 13564. https://doi.org/10.1038/s41598-021-92904-7
- Lo Piccolo, E., Petruzziello, G., Chiesa, R., Pietrantoni, L., & Mariani, M. G. (2024). Fairness in e-recruitment: examining procedural justice perceptions and job seekers’ intentions. Sustainability, 16(18), 8124. https://doi.org/10.3390/su16188124
- Liehner, G. L., Biermann, H., Hick, A., Brauner, P., & Ziefle, M. (2023). Perceptions, attitudes and trust towards artificial intelligence-an assessment of the public opinion. Artificial Intelligence and Social Computing, 72, 32-41. https://doi.org/10.54941/ahfe1003271
- Murire, O. T. (2024). Artificial intelligence and its role in shaping organizational work practices and culture. Administrative Sciences, 14(12), 316. https://doi.org/10.3390/admsci14120316
- Murugesan, U., Subramanian, P., Srivastava, S., & Dwivedi, A. (2023). A study of artificial intelligence impacts on human resource digitalization in industry 4.0. Decision Analytics Journal, 7, 100249. https://doi.org/10.1016/j.dajour.2023.100249
- Nahar, S. (2024). Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): applying a system dynamics perspective in a cross-country setting. Technological Forecasting and Social Change, 201, 123203. https://doi.org/10.1016/j.techfore.2023.123203
- Novozhilova, E., Mays, K., Paik, S., & Katz, J. E. (2024). More capable, less benevolent: trust perceptions of AI systems across societal contexts. Machine Learning and Knowledge Extraction, 6(1), 342–366. https://doi.org/10.3390/make6010017
- Oman, Z. U., Siddiqua, A., & Noorain, R. (2024). Artificial intelligence and its ability to reduce recruitment bias. World Journal of Advanced Research and Reviews, 24(1), 551–564. https://doi.org/10.30574/wjarr.2024.24.1.3054
- Ortega, L., & Dpa, J. P. A. (2025). The nexus of organizational culture and work performance: the mediating role of organizational politics in local government setting. Global Review of Tourism and Social Sciences, 1(2), 129-144. https://doi.org/10.53893/grtss.v1i2.362
- Papagiannidis, E., Mikalef, P., Conboy, K., & Van De Wetering, R. (2023). Uncovering the dark side of AI-based decision-making: a case study in a B2B context. Industrial Marketing Management, 115, 253–265. https://doi.org/10.1016/j.indmarman.2023.10.003
- Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., Jennings, N. R., Kamar, E., Kloumann, I. M., Larochelle, H., Lazer, D., McElreath, R., Mislove, A., Parkes, D. C., Pentland, A. ‘Sandy,’ … Wellman, M. (2019). Machine behaviour. Nature, 568(7753), 477–486. https://doi.org/10.1038/s41586-019-1138-y
- Rani, J. (2024). AI in HR: revolutionizing recruitment, retention, and employee engagement. Journal of Informatics Education and Research, 4(3), 959–968. https://doi.org/10.52783/jier.v4i3.1410
- Rathore, S. (2023). The impact of AI on recruitment and selection processes: analysing the role of AI in automating and enhancing recruitment and selection procedures. International Journal for Global Academic & Scientific Research, 2(2), 78–93. https://doi.org/10.55938/ijgasr.v2i2.50
- Rehmert, J. (2021). Behavioral consequences of open candidate recruitment. Legislative Studies Quarterly, 46(2), 427–458. https://doi.org/10.1111/lsq.12283
- Roppelt, J. S., Schuster, A., Greimel, N. S., Kanbach, D. K., & Sen, K. (2025). Towards effective adoption of artificial intelligence in talent acquisition: a mixed method study. International Journal of Information Management, 82, 102870. https://doi.org/10.1016/j.ijinfomgt.2025.102870
- Rožman, M., Oreški, D., & Tominc, P. (2023). Artificial intelligence-supported reduction of employees’ workload to increase the company’s performance in today’s VUCA environment. Sustainability, 15(6), 5019. https://doi.org/10.3390/su15065019
- Silitonga, F., & Isbah, M. F. (2023). Artificial intelligence and the future of work in the Indonesian public sector. Jurnal Ilmu Sosial dan Humaniora, 12(2), 296–308. https://doi.org/10.23887/jish.v12i2.62297
- Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134, 574–587. https://doi.org/10.1016/j.jbusres.2021.05.009
- Syafriani, V., Nuryasni, & Yuliani, T. (2025). Bridging theories and practice: organizational management in an Indonesian school context. Global Review of Tourism and Social Sciences, 1(2), 99-118. https://doi.org/10.53893/grtss.v1i2.338
- Sýkorová, Z., Hague, D., Dvouletý, O., & Procházka, D. A. (2024). Incorporating artificial intelligence (AI) into recruitment processes: ethical considerations. Vilakshan - XIMB Journal of Management, 21(2), 293–307. https://doi.org/10.1108/XJM-02-2024-0039
- Tangi, L., Noordt, C. V., Combetto, M., & Gattwinkel, D. (2022). AI Watch: European landscape on the use of artificial intelligence by the public sector. Publications Office. https://data.europa.eu/doi/10.2760/39336
- Tay, C. E., Ying, C. Y., Yeo , S. F., & Cheah, C. S. (2024). Revolutionizing recruitment: the rise of artificial intelligence in talent acquisition. PaperASIA, 40(6b), 191–199. https://doi.org/10.59953/paperasia.v40i6b.270
- Ulnicane, I. (2022). Artificial intelligence in the European Union. In Hoerber, T., Weber, G., & Cabras, I. (Eds.), The Routledge Handbook of European Integrations (1st ed., pp. 254–269). New York: Routledge. https://doi.org/10.4324/9780429262081-19
- Van Esch, P., Black, J. S., & Arli, D. (2021). Job candidates’ reactions to AI-Enabled job application processes. AI and Ethics, 1(2), 119–130. https://doi.org/10.1007/s43681-020-00025-0
- Van Esch, P., Black, J. S., & Ferolie, J. (2019). Marketing AI recruitment: the next phase in job application and selection. Computers in Human Behavior, 90, 215–222. https://doi.org/10.1016/j.chb.2018.09.009
- Venugopal, M., Madhavan, V., Prasad, R., & Raman, R. (2024). Transformative AI in human resource management: enhancing workforce planning with topic modeling. Cogent Business & Management, 11(1), 2432550. https://doi.org/10.1080/23311975.2024.2432550
- Vivek, R. (2023). Enhancing diversity and reducing bias in recruitment through AI: a review of strategies and challenges. Информатика. Экономика. Управление - Informatics. Economics. Management, 2(4), 0101–0118. https://doi.org/10.47813/2782-5280-2023-2-4-0101-0118
- Votto, A. M., Valecha, R., Najafirad, P., & Rao, H. R. (2021). Artificial intelligence in tactical human resource management: a systematic literature review. International Journal of Information Management Data Insights, 1(2), 100047. https://doi.org/10.1016/j.jjimei.2021.100047
- Wang, T.-L., & Oscar, W. (2024). How supportive and competitive work environments influence job attitudes and performance in French sales roles. Global Review of Tourism and Social Sciences, 1(1), 1–12. https://doi.org/10.53893/grtss.v1i1.322
- Xiong, Y., & Kim, J. K. (2025). Who wants to be hired by AI? how message frames and AI transparency impact individuals’ attitudes and behaviors toward companies using AI in hiring. Computers in Human Behavior: Artificial Humans, 3, 100120. https://doi.org/10.1016/j.chbah.2025.100120
- Zahidi, F., Kaluvilla, B. B., & Mulla, T. (2024). Embracing the new era: artificial intelligence and its multifaceted impact on the hospitality industry. Journal of Open Innovation: Technology, Market, and Complexity, 10(4), 100390. https://doi.org/10.1016/j.joitmc.2024.100390
- Zhang, W., Zeng, X., Liang, H., Xue, Y., & Cao, X. (2023). Understanding how organizational culture affects innovation performance: a management context perspective. Sustainability, 15(8), 6644. https://doi.org/10.3390/su15086644
- Zirar, A., Ali, S. I., & Islam, N. (2023). Worker and workplace artificial intelligence (AI) coexistence: emerging themes and research agenda. Technovation, 124, 102747. https://doi.org/10.1016/j.technovation.2023.102747
References
Alam, R. (2025). Building adaptive workforces: HRM and digital competency in tourism innovation. Global Review of Tourism and Social Sciences, 1(2), 119-128. https://doi.org/10.53893/grtss.v1i2.357
Albaroudi, E., Mansouri, T., & Alameer, A. (2024). A comprehensive review of AI techniques for addressing algorithmic bias in job hiring. AI, 5(1), 383–404. https://doi.org/10.3390/ai5010019
Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2024). AI-powered innovation in digital transformation: key pillars and industry impact. Sustainability, 16(5), 1790. https://doi.org/10.3390/su16051790
Aravantinos, S., Lavidas, K., Voulgari, I., Papadakis, S., Karalis, T., & Komis, V. (2024). Educational approaches with aι in primary school settings: a systematic review of the literature available in Scopus. Education Sciences, 14(7), 744. https://doi.org/10.3390/educsci14070744
Aysolmaz, B., Müller, R., & Meacham, D. (2023). The public perceptions of algorithmic decision-making systems: results from a large-scale survey. Telematics and Informatics, 79, 101954. https://doi.org/10.1016/j.tele.2023.101954
Balasundaram, S., Venkatagiri, S., & Sathiyaseelan, A. (2022). Using AI to enhance candidate experience in high volume hiring: a conceptual review and case study. Proceedings of the Replenish, Restructure & Reinvent: Technology Fueled Transformation for Sustainable Future, 21-22.
Basalamah, J., Syahnur, M. H., & Basalamah, A. (2020). Recruitment and selection practice on Indonesia state-owned enterprise: a literature review. Manajemen Bisnis, 10(2), 9-16. https://doi.org/10.22219/jmb.v10i2.13093
Becker, W. J., Connolly, T., & Slaughter, J. E. (2010). The effect of job offer timing on offer acceptance, performance, and turnover. Personnel Psychology, 63(1), 223–241. https://doi.org/10.1111/j.1744-6570.2009.01167.x
Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., Boselie, P., Lee Cooke, F., Decker, S., DeNisi, A., Dey, P. K., Guest, D., Knoblich, A. J., Malik, A., Paauwe, J., Papagiannidis, S., Patel, C., Pereira, V., Ren, S., … Varma, A. (2023). Human resource management in the age of generative artificial intelligence: perspectives and research directions on ChatGPT. Human Resource Management Journal, 33(3), 606–659. https://doi.org/10.1111/1748-8583.12524
Burton, J. W., Stein, M., & Jensen, T. B. (2020). A systematic review of algorithm aversion in augmented decision making. Journal of Behavioral Decision Making, 33(2), 220–239. https://doi.org/10.1002/bdm.2155
Cascio, W. F., & Boudreau, J. W. (2016). The search for global competence: from international HR to talent management. Journal of World Business, 51(1), 103–114. https://doi.org/10.1016/j.jwb.2015.10.002
Chen, Z. (2023). Ethics and discrimination in artificial intelligence-enabled recruitment practices. Humanities and Social Sciences Communications, 10(1), 567-579. https://doi.org/10.1057/s41599-023-02079-x
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Etikan, I. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. https://doi.org/10.11648/j.ajtas.20160501.11
Ferrara, E. (2023). Fairness and bias in artificial intelligence: a brief survey of sources, impacts, and mitigation strategies. Sci, 6(1), 3. https://doi.org/10.3390/sci6010003
Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: review of empirical research. Academy of Management Annals, 14(2), 627–660. https://doi.org/10.5465/annals.2018.0057
Haime, A., Vallejo, A., & Schwindt-Bayer, L. (2022). Candidate experience and electoral success. Latin American Research Review, 57(1), 170–187. https://doi.org/10.1017/lar.2022.10
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Harianto, E., Teofilus, T., Wahyudono, D. B. K., Menny, A. H., & Azizurrohman, M. (2023). The phenomenon of discomfort toward organizational change moderated by empowering leadership. Jurnal Aplikasi Manajemen, 21(4), 863–875. https://doi.org/10.21776/ub.jam.2023.021.04.01
Hatidja, S., Syahribulan, S., Thaha, S., Jamaluddin, J., & Azizurrohman, M. (2024). Fostering employee job satisfaction in the hospitality industry: the role of organizational culture, motivation, and appraisals mediated by service innovations case of hotels in Bali. STI Policy and Management Journal, 9(2), 56-72. https://doi.org/10.14203/STIPM.2024.402
Horodyski, P. (2023). Applicants’ perception of artificial intelligence in the recruitment process. Computers in Human Behavior Reports, 11, 100303. https://doi.org/10.1016/j.chbr.2023.100303
Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459
Jamaluddin (2025). The impact of remote working on employee productivity during COVID-19 in Indonesia: the moderating role of job level and the influence of cultural adaptability. Global Review of Tourism and Social Sciences, 1(2), 88-98. https://doi.org/10.53893/grtss.v1i2.356
Koller, K., Pankowska, P. K., & Brick, C. (2023). Identifying bias in self-reported pro-environmental behavior. Current Research in Ecological and Social Psychology, 4, 100087. https://doi.org/10.1016/j.cresp.2022.100087
Lavidas, K., Voulgari, I., Papadakis, S., Athanassopoulos, S., Anastasiou, A., Filippidi, A., Komis, V., & Karacapilidis, N. (2024). Determinants of humanities and social sciences students’ intentions to use artificial intelligence applications for academic purposes. Information, 15(6), 314. https://doi.org/10.3390/info15060314
Lawande, N. (2024). Exploring the trends of artificial intelligence in recruitment: a bibliometric study. International Journal of Supply and Operations Management, 11(3), 351-366. https://doi.org/10.22034/ijsom.2024.110284.3016
Li, J., Zhou, Y., Yao, J., & Liu, X. (2021). An empirical investigation of trust in AI in a Chinese petrochemical enterprise based on institutional theory. Scientific Reports, 11(1), 13564. https://doi.org/10.1038/s41598-021-92904-7
Lo Piccolo, E., Petruzziello, G., Chiesa, R., Pietrantoni, L., & Mariani, M. G. (2024). Fairness in e-recruitment: examining procedural justice perceptions and job seekers’ intentions. Sustainability, 16(18), 8124. https://doi.org/10.3390/su16188124
Liehner, G. L., Biermann, H., Hick, A., Brauner, P., & Ziefle, M. (2023). Perceptions, attitudes and trust towards artificial intelligence-an assessment of the public opinion. Artificial Intelligence and Social Computing, 72, 32-41. https://doi.org/10.54941/ahfe1003271
Murire, O. T. (2024). Artificial intelligence and its role in shaping organizational work practices and culture. Administrative Sciences, 14(12), 316. https://doi.org/10.3390/admsci14120316
Murugesan, U., Subramanian, P., Srivastava, S., & Dwivedi, A. (2023). A study of artificial intelligence impacts on human resource digitalization in industry 4.0. Decision Analytics Journal, 7, 100249. https://doi.org/10.1016/j.dajour.2023.100249
Nahar, S. (2024). Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): applying a system dynamics perspective in a cross-country setting. Technological Forecasting and Social Change, 201, 123203. https://doi.org/10.1016/j.techfore.2023.123203
Novozhilova, E., Mays, K., Paik, S., & Katz, J. E. (2024). More capable, less benevolent: trust perceptions of AI systems across societal contexts. Machine Learning and Knowledge Extraction, 6(1), 342–366. https://doi.org/10.3390/make6010017
Oman, Z. U., Siddiqua, A., & Noorain, R. (2024). Artificial intelligence and its ability to reduce recruitment bias. World Journal of Advanced Research and Reviews, 24(1), 551–564. https://doi.org/10.30574/wjarr.2024.24.1.3054
Ortega, L., & Dpa, J. P. A. (2025). The nexus of organizational culture and work performance: the mediating role of organizational politics in local government setting. Global Review of Tourism and Social Sciences, 1(2), 129-144. https://doi.org/10.53893/grtss.v1i2.362
Papagiannidis, E., Mikalef, P., Conboy, K., & Van De Wetering, R. (2023). Uncovering the dark side of AI-based decision-making: a case study in a B2B context. Industrial Marketing Management, 115, 253–265. https://doi.org/10.1016/j.indmarman.2023.10.003
Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., Jennings, N. R., Kamar, E., Kloumann, I. M., Larochelle, H., Lazer, D., McElreath, R., Mislove, A., Parkes, D. C., Pentland, A. ‘Sandy,’ … Wellman, M. (2019). Machine behaviour. Nature, 568(7753), 477–486. https://doi.org/10.1038/s41586-019-1138-y
Rani, J. (2024). AI in HR: revolutionizing recruitment, retention, and employee engagement. Journal of Informatics Education and Research, 4(3), 959–968. https://doi.org/10.52783/jier.v4i3.1410
Rathore, S. (2023). The impact of AI on recruitment and selection processes: analysing the role of AI in automating and enhancing recruitment and selection procedures. International Journal for Global Academic & Scientific Research, 2(2), 78–93. https://doi.org/10.55938/ijgasr.v2i2.50
Rehmert, J. (2021). Behavioral consequences of open candidate recruitment. Legislative Studies Quarterly, 46(2), 427–458. https://doi.org/10.1111/lsq.12283
Roppelt, J. S., Schuster, A., Greimel, N. S., Kanbach, D. K., & Sen, K. (2025). Towards effective adoption of artificial intelligence in talent acquisition: a mixed method study. International Journal of Information Management, 82, 102870. https://doi.org/10.1016/j.ijinfomgt.2025.102870
Rožman, M., Oreški, D., & Tominc, P. (2023). Artificial intelligence-supported reduction of employees’ workload to increase the company’s performance in today’s VUCA environment. Sustainability, 15(6), 5019. https://doi.org/10.3390/su15065019
Silitonga, F., & Isbah, M. F. (2023). Artificial intelligence and the future of work in the Indonesian public sector. Jurnal Ilmu Sosial dan Humaniora, 12(2), 296–308. https://doi.org/10.23887/jish.v12i2.62297
Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134, 574–587. https://doi.org/10.1016/j.jbusres.2021.05.009
Syafriani, V., Nuryasni, & Yuliani, T. (2025). Bridging theories and practice: organizational management in an Indonesian school context. Global Review of Tourism and Social Sciences, 1(2), 99-118. https://doi.org/10.53893/grtss.v1i2.338
Sýkorová, Z., Hague, D., Dvouletý, O., & Procházka, D. A. (2024). Incorporating artificial intelligence (AI) into recruitment processes: ethical considerations. Vilakshan - XIMB Journal of Management, 21(2), 293–307. https://doi.org/10.1108/XJM-02-2024-0039
Tangi, L., Noordt, C. V., Combetto, M., & Gattwinkel, D. (2022). AI Watch: European landscape on the use of artificial intelligence by the public sector. Publications Office. https://data.europa.eu/doi/10.2760/39336
Tay, C. E., Ying, C. Y., Yeo , S. F., & Cheah, C. S. (2024). Revolutionizing recruitment: the rise of artificial intelligence in talent acquisition. PaperASIA, 40(6b), 191–199. https://doi.org/10.59953/paperasia.v40i6b.270
Ulnicane, I. (2022). Artificial intelligence in the European Union. In Hoerber, T., Weber, G., & Cabras, I. (Eds.), The Routledge Handbook of European Integrations (1st ed., pp. 254–269). New York: Routledge. https://doi.org/10.4324/9780429262081-19
Van Esch, P., Black, J. S., & Arli, D. (2021). Job candidates’ reactions to AI-Enabled job application processes. AI and Ethics, 1(2), 119–130. https://doi.org/10.1007/s43681-020-00025-0
Van Esch, P., Black, J. S., & Ferolie, J. (2019). Marketing AI recruitment: the next phase in job application and selection. Computers in Human Behavior, 90, 215–222. https://doi.org/10.1016/j.chb.2018.09.009
Venugopal, M., Madhavan, V., Prasad, R., & Raman, R. (2024). Transformative AI in human resource management: enhancing workforce planning with topic modeling. Cogent Business & Management, 11(1), 2432550. https://doi.org/10.1080/23311975.2024.2432550
Vivek, R. (2023). Enhancing diversity and reducing bias in recruitment through AI: a review of strategies and challenges. Информатика. Экономика. Управление - Informatics. Economics. Management, 2(4), 0101–0118. https://doi.org/10.47813/2782-5280-2023-2-4-0101-0118
Votto, A. M., Valecha, R., Najafirad, P., & Rao, H. R. (2021). Artificial intelligence in tactical human resource management: a systematic literature review. International Journal of Information Management Data Insights, 1(2), 100047. https://doi.org/10.1016/j.jjimei.2021.100047
Wang, T.-L., & Oscar, W. (2024). How supportive and competitive work environments influence job attitudes and performance in French sales roles. Global Review of Tourism and Social Sciences, 1(1), 1–12. https://doi.org/10.53893/grtss.v1i1.322
Xiong, Y., & Kim, J. K. (2025). Who wants to be hired by AI? how message frames and AI transparency impact individuals’ attitudes and behaviors toward companies using AI in hiring. Computers in Human Behavior: Artificial Humans, 3, 100120. https://doi.org/10.1016/j.chbah.2025.100120
Zahidi, F., Kaluvilla, B. B., & Mulla, T. (2024). Embracing the new era: artificial intelligence and its multifaceted impact on the hospitality industry. Journal of Open Innovation: Technology, Market, and Complexity, 10(4), 100390. https://doi.org/10.1016/j.joitmc.2024.100390
Zhang, W., Zeng, X., Liang, H., Xue, Y., & Cao, X. (2023). Understanding how organizational culture affects innovation performance: a management context perspective. Sustainability, 15(8), 6644. https://doi.org/10.3390/su15086644
Zirar, A., Ali, S. I., & Islam, N. (2023). Worker and workplace artificial intelligence (AI) coexistence: emerging themes and research agenda. Technovation, 124, 102747. https://doi.org/10.1016/j.technovation.2023.102747