Augmented employee voice and employee engagement using artificial intelligence-enabled chatbots: a field study

References

• Adams, N., Stubbs, D., & Woods, V., (2005). Psychological barriers to Internet usage among older adults in the UK. Medical Informatics and the Internet in Medicine, 30(1), 3–17. https://doi.org/10.1080/14639230500066876
   PubMed Web of Science ®Google Scholar
• Aguinis, H., & O’Boyle, E. (2014). Star performers in twenty-first-century organizations. Personnel Psychology, (2)67, 313–350. https://doi.org/10.1111/peps.12054
   Web of Science ®Google Scholar
• Albrecht, S. L., & Marty, A. (2020). Personality, self-efficacy and job resources and their associations with employee engagement, affective commitment and turnover intentions. International Journal of Human Resource Management, 31(5), 657–681.
   Web of Science ®Google Scholar
• Alfes, K., Shantz, A. D., Truss, C., & Soane, E. C. (2013). The link between perceived human resource management practices, engagement and employee behaviour: A moderated mediation model. International Journal of Human Resource Management, 24(2), 330–351.
   Web of Science ®Google Scholar
• Alfes, K., Truss, C., Soane, E. C., Rees, C., & Gatenby, M. (2013). The relationship between line manager behavior, perceived HRM practices, and individual performance: Examining the mediating role of engagement. Human Resource Management, 52(6), 839–859. https://doi.org/10.1002/hrm.21512
   Web of Science ®Google Scholar
• Aryee, S., Budhwar, P. S., & Chen, Z. X. (2002). Trust as a mediator of the relationship between organizational justice and work outcomes: Test of a social exchange model. Journal of Organizational Behavior, 23(3), 267–285. https://doi.org/10.1002/job.138
   Web of Science ®Google Scholar
• Avery, D. R., McKay, P. F., & Wilson, D. C. (2007). Engaging the aging workforce: The relationship between perceived age similarity, satisfaction with coworkers, and employee engagement. The Journal of Applied Psychology, 92(6), 1542–1556.
   PubMed Web of Science ®Google Scholar
• Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22(3), 309–328. https://doi.org/10.1108/02683940710733115
   Google Scholar
• Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. I. (2014). Burnout and work engagement: The JDR approach. Annual Review of Organizational Psychology and Organizational Behavior, (1)1, 389–411. https://doi.org/10.1146/annurev-orgpsych-031413-091235
   Google Scholar
• Bal, P. M., & de Lange, A. H. (2015). From flexibility human resource management to employee engagement and perceived job performance across the lifespan: A multisample study. Journal of Occupational and Organizational Psychology, 88(1), 126–154. https://doi.org/10.1111/joop.12082
   Web of Science ®Google Scholar
• Barrick, M. R., Thurgood, G. R., Smith, T. A., & Courtright, S. H. (2015). Collective organizational engagement: Linking motivational antecedents, strategic implementation, and firm performance. Academy of Management Journal, 58(1), 111–135. https://doi.org/10.5465/amj.2013.0227
   Web of Science ®Google Scholar
• Beugre, C. (2010). Organizational conditions fostering employee. Engagement: The role of ‘voice.’. In S. Albrecht (Ed.), Handbook of employee engagement: Perspectives, issues, research and practice (pp. 174–181). Edward Elgar.
   Google Scholar
• Blau, P. M. (1964). Exchange and power in social life. Wiley.
   Google Scholar
• Boon, C., & Kalshoven, K. (2014). How high-commitment HRM relates to engagement and commitment: The moderating role of task proficiency. Human Resource Management, 53(3), 403–420. https://doi.org/10.1002/hrm.21569
   Web of Science ®Google Scholar
• Briscoe, D. R., & Claus, L. M. (2008). Employee performance management: Policies and practices in multinational enterprises. In A. Varma, P. S. Budhwar, & A. S. DeNisi (Eds.), Performance management systems: A global perspective (pp. 15–39). London: Routledge.
   Google Scholar
• Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? Workforce implications. Science (New York, N.Y.), 358(6370), 1530–1534.
   PubMed Web of Science ®Google Scholar
• Burris, E. R., Rockmann, K., W., & Kimmons, Y. S. (2017). The value of voice to Managers: Employee identification and the content of voice. Academy of Management Journal, 60(6), 2099–2125. https://doi.org/10.5465/amj.2014.0320
   Web of Science ®Google Scholar
• Call, M. L., Nyberg, A. J., & Thatcher, S. M. B. (2015). Stargazing: An integrative conceptual review, theoretical reconciliation, and extension for star employee research. The Journal of Applied Psychology, 100(3), 623–640.
   PubMed Web of Science ®Google Scholar
• Campbell, E. M., Liao, H., Chuang, A., Zhou, J., & Dong, Y. (2017). Hot shots and cool reception? An expanded view of social consequences for high performers. The Journal of Applied Psychology, (5)102, 845–866. https://doi.org/10.1037/apl0000183
   PubMed Web of Science ®Google Scholar
• Carter, W. R., Nesbit, P. L., Badham, R. J., Parker, S. K., & Sung, L.-K. (2018). The effects of employee engagement and self-efficacy on job performance: A longitudinal field study. International Journal of Human Resource Management, 29(17), 2483–2502.
   Web of Science ®Google Scholar
• Celani, A., Deutsch-Salamon, S., & Singh, P. (2008). In justice we trust: A model of the role of trust in the organization in applicant reactions to the selection process. Human Resource Management Review, (2)18, 63–76. https://doi.org/10.1016/j.hrmr.2008.04.002
   Web of Science ®Google Scholar
• Cerekovic, A., Aran, O., & Gatica-Perez, D. (2017). Rapport with virtual agents: What do human social cues and personality explain? IEEE Transactions on Affective Computing, l.8(3), 382–395.
   Web of Science ®Google Scholar
• Chattaraman, V., Kwon, W. S., & Gilbert, J. E. (2012). Virtual agents in retail web sites: Benefits of simulated social interaction for older users. Computers in Human Behavior, 28(6), 2055–2066. https://doi.org/10.1016/j.chb.2012.06.009
   Web of Science ®Google Scholar
• Chattaraman, V., Kwon, W.-S., Gilbert, J. E., & Ross, K. (2019). Should AI-Based, conversational digital assistants employ social-or task-oriented interaction style? A task-competency and reciprocity perspective for older adults. Computers in Human Behavior, 90, 315–330. https://doi.org/10.1016/j.chb.2018.08.048
   Web of Science ®Google Scholar
• Chen, Z. (2022). Artificial intelligence-virtual trainer: Innovative didactics aimed at personalized training needs. Journal of the Knowledge Economy, https://doi.org/10.1007/s13132-022-00985-0
   Google Scholar
• Colquitt, J. A. (2001). On the dimensionality of organizational justice: A construct validation of a measure. The Journal of Applied Psychology, 86(3), 386–400. https://doi.org/10.1037/0021-9010.86.3.386
   PubMed Web of Science ®Google Scholar
• Conway, E., Fu, N., Monks, K., Alfes, K., & Bailey, C. (2016). Demands or resources? The relationship between HR practices, employee engagement, and emotional exhaustion within a hybrid model of employment relations. Human Resource Management, 55(5), 901–917. https://doi.org/10.1002/hrm.21691
   Web of Science ®Google Scholar
• Cropanzano, R., Rupp, D. E., & Byrne, Z. S. (2003). The relationship of emotional exhaustion to work attitudes, job performance, and organizational citizenship behaviors. The Journal of Applied Psychology, 88(1), 160–169.
   PubMed Web of Science ®Google Scholar
• Deloitte Human Capital. (2008). The chemistry of talent. In Straight talk book No. 10. Deloitte Development, LLC.
   Google Scholar
• Dhiman, A., Sen, A., & Bhardwaj, P. (2018). Effect of self-accountability on self-regulatory behavior: A quasi-experiment. Journal of Business Ethics, (1)148, 79–97. https://doi.org/10.1007/s10551-015-2995-4
   Web of Science ®Google Scholar
• Dietz, G., & Fortin, M. (2007). Trust and justice in the formation of joint consultative committees. International Journal of Human Resource Management, 18(7), 1159–1181.
   Web of Science ®Google Scholar
• Dundon, T., & Gollan, P. J. (2007). Re-conceptualizing voice in the non-union workplace. International Journal of Human Resource Management, 18(7), 1182–1198.
   Web of Science ®Google Scholar
• Dutta, D., & Mishra, S. K. (2021a). Chatting with the CEO’s virtual assistant: Impact on climate for trust, fairness, employee satisfaction, and engagement. AIS Transactions on Human-Computer Interaction, 13(4), 431–452. https://doi.org/10.17705/1thci.00156
   Google Scholar
• Dutta, D., & Mishra, S. K. (2021b). Predictors of applicant attraction among Gen-X and millennials: Evidence from an emerging economy. International Journal of Manpower, 42(8), 1479–1499. https://doi.org/10.1108/IJM-04-2020-0169
   Web of Science ®Google Scholar
• Dutta, D., Kumar, K. K., & Mishra, S. K. (2021a). Unintended consequences of promotions: Importance of annual incentives for performance management systems. Human Resource Management, 60(5), 787–801. https://doi.org/10.1002/hrm.22062
   Web of Science ®Google Scholar
• Dutta, D., Mishra, S. K., & Varma, A. (2021b). Predictors of job pursuit intention across career stages: A multi-phase investigation. International Journal of Human Resource Management, 32(20), 4215-4252.
   Web of Science ®Google Scholar
• Fainshmidt, S., & Frazier, M. L. (2017). What facilitates dynamic capabilities? The role of organizational climate for trust. Long Range Planning, (5)50, 550–566. https://doi.org/10.1016/j.lrp.2016.05.005
   Web of Science ®Google Scholar
• Farndale, E., McDonnell, A., Scholarios, D., & Wilkinson, A. (2020). Human resource management journal: A look to the past, present, and future of the journal and HRM scholarship. Human Resource Management Journal, 30(1), 1–12. https://doi.org/10.1111/1748-8583.12275
   Web of Science ®Google Scholar
• Farndale, E., Ruiten, J. V., Kelliher, C., & Hope-Hailey, V. (2011). The influence of perceived employee voice on organizational commitment: An exchange perspective. Human Resource Management, 50(1), 113–129. https://doi.org/10.1002/hrm.20404
   Web of Science ®Google Scholar
• Forth, J., & Millward, N. (2002). The growth of direct communication. Chartered Institute of Personnel and Development.
   Google Scholar
• Fuchs, S., & Edwards, M. R. (2012). Predicting pro-change behavior: The role of perceived organizational justice and organizational identification. Human Resource Management Journal, 22(1), 39–59. https://doi.org/10.1111/j.1748-8583.2011.00167.x
   Web of Science ®Google Scholar
• Fulmer, A. C., & Gelfand, M. J. (2012). At what level (and in whom) we trust: Trust across multiple organizational levels. Journal of Management, 38(4), 1167–1230. https://doi.org/10.1177/0149206312439327
   Web of Science ®Google Scholar
• Galeshi, R., Sharman, J., & Cai, J. (2018). Influence of ethnicity, gender, and immigration status on millennials’ behavior related to seeking health information: Results from a national survey. Equality, Diversity and Inclusion. An International Journal, 37(6), 621–631.
   Web of Science ®Google Scholar
• Gomez, R., Bryson, A., & Willman, P. (2010). Voice in the wilderness? The shift from union to non-union voice in Britain. In A. Wilkinson, P. J. Gollan, M. Marchington, & D. Lewin (Eds.), The Oxford Handbook of participation in organizations (pp. 383–406). Oxford University Press.
   Google Scholar
• González-Romá, V., Schaufeli, W. B., Bakker, A. B., & Lloret, S. (2006). Burnout and work engagement: Independent factors or opposite poles? Journal of Vocational Behavior, 68(1), 165–174. https://doi.org/10.1016/j.jvb.2005.01.003
   Web of Science ®Google Scholar
• Gosling, S. D., Rentfrow, P. J., & Swann, Jr., W. B. (2003). A very brief measure of the big-five personality domains. Journal of Research in Personality, 37(6), 504–528. https://doi.org/10.1016/S0092-6566(03)00046-1
   Web of Science ®Google Scholar
• Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American Sociological Review, 25(2), 161–178. https://doi.org/10.2307/2092623
   Web of Science ®Google Scholar
• Gould-Williams, J. (2003). The importance of HR practices and workplace trust in achieving superior performance: A study of public-sector organizations. The International Journal of Human Resource Management, 14(1), 28–54. https://doi.org/10.1080/09585190210158501
   Web of Science ®Google Scholar
• Hancock, J. T., Naaman, M., & Levy, K. (2020). AI-mediated communication: Definition, research agenda, and ethical considerations. Journal of Computer-Mediated Communication, 25(1), 89–100. https://doi.org/10.1093/jcmc/zmz022
   Web of Science ®Google Scholar
• Holland, P., Cooper, B. K., Pyman, A., & Teicher, J. (2012). Trust in management: The role of employee voice arrangements and perceived managerial opposition to unions. Human Resource Management Journal, 22(4), 377–391. https://doi.org/10.1111/1748-8583.12002
   Web of Science ®Google Scholar
• Holland, P., Cooper, B., & Sheehan, C. (2017). Employee voice, supervisor support, and engagement: The mediating role of trust. Human Resource Management, 56(6), 915–929. https://doi.org/10.1002/hrm.21809
   Web of Science ®Google Scholar
• Holland, P., Pyman, A., Cooper, B. K., & Teicher, J. (2011). Employee voice and job satisfaction in Australia: The centrality of direct voice. Human Resource Management, 50(1), 95–111. https://doi.org/10.1002/hrm.20406
   Web of Science ®Google Scholar
• Holman, D. J., Axtell, C. M., Sprigg, C. A., Totterdell, P., & Wall, T. D. (2010). The mediating role of job characteristics in job redesign interventions: A serendipitous quasi-experiment. Journal of Organizational Behavior, (1)31, 84–105. https://doi.org/10.1002/job.631
   Web of Science ®Google Scholar
• Hooi, L. W. (2021). Leveraging human assets for MNCs performance: The role of management development, human resource system and employee engagement. International Journal of Human Resource Management, 32(13), 2729–2758.
   Google Scholar
• Hu, X., & Jiang, Z. (2018). Employee-oriented HRM and voice behavior: A moderated mediation model of moral identity and trust in management. International Journal of Human Resource Management, 29(5), 746–771.
   Web of Science ®Google Scholar
• Huff, L., & Kelley, L. (2003). Levels of organizational trust in individualistic versus collectivist societies: A seven-nation study. Organization Science, 14(1), 81–90. https://doi.org/10.1287/orsc.14.1.81.12807
   Web of Science ®Google Scholar
• Jatobá, M., Santos, J., Gutierriz, I., Moscon, D., Fernandes, P. O., & Teixeira, J. P. (2019). Evolution of artificial intelligence research in human resources. Procedia Computer Science, 164, 137–142. https://doi.org/10.1016/j.procs.2019.12.165
   Google Scholar
• Kaufman, B. E. (2015). Market competition, HRM, and firm performance: The conventional paradigm critiqued and reformulated. Human Resource Management Review, 25(1), 107–125. https://doi.org/10.1016/j.hrmr.2014.08.001
   Web of Science ®Google Scholar
• Kim, E., & Glomb, T. M. (2014). Victimization of high performers: The roles of envy and work group identification. The Journal of Applied Psychology, 99(4), 619–634.
   PubMed Web of Science ®Google Scholar
• Kim, N., & Kang, S. W. (2017). Older and more engaged: The mediating role of age-linked resources on work engagement. Human Resource Management, 56(5), 731–746. https://doi.org/10.1002/hrm.21802
   Web of Science ®Google Scholar
• Kooij, D. T., & Boon, C. (2018). Perceptions of HR practices, person–organisation fit, and affective commitment: The moderating role of career stage. Human Resource Management Journal, 28(1), 61–75. https://doi.org/10.1111/1748-8583.12164
   Web of Science ®Google Scholar
• Krogh, G. V. (2018). Artificial intelligence in organizations: New opportunities for phenomenon-based theorizing. Academy of Management Discoveries, 4(4), 404–409.
   Web of Science ®Google Scholar
• Kuvaas, B., & Dysvik, A. (2010). Exploring alternative relationships between perceived investment in employee development, perceived supervisor support and employee outcomes. Human Resource Management Journal, 20(2), 138–156. https://doi.org/10.1111/j.1748-8583.2009.00120.x
   Web of Science ®Google Scholar
• Kwon, B., Farndale, E., & Park, J. G. (2016). Employee voice and work engagement: Macro, meso, and micro-level drivers of convergence? Human Resource Management Review, 26(4), 327–337. https://doi.org/10.1016/j.hrmr.2016.04.005
   Web of Science ®Google Scholar
• Leicht-Deobald, U., Busch, T., Schank, C., Weibel, A., Schafheitle, S. Wildhaber, I., & Kasper, G. (2019). The challenges of algorithm-based hr decision-making for personal integrity. Journal of Business Ethics, 160, 377–392
   Google Scholar
• Love, L. F., & Singh, P. (2011). Workplace branding: Leveraging human resources management practices for competitive advantage through ‘Best Employer’ surveys. Journal of Business and Psychology, (2)26, 175–181. https://doi.org/10.1007/s10869-011-9226-5
   Web of Science ®Google Scholar
• Low, C., Bordia, P., & Bordia, S. (2016). What do employees want and why? An exploration of employees’ preferred psychological contract elements across career stages. Human Relations, 69(7), 1457–1481. https://doi.org/10.1177/0018726715616468
   Web of Science ®Google Scholar
• Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: MACHINES vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchase. Marketing Science, 38(6), 937–947.
   Web of Science ®Google Scholar
• Ma, X., & Brown, T. (2020). AI-mediated exchange theory. In Extended abstracts of the 2020 CHI conference on human factors in computing systems (Workshop). Association for Computing Machinery.
   Google Scholar
• Maity, S. (2019). Identifying opportunities for artificial intelligence in the evolution of training and development practices. Journal of Management Development, 38(8), 651–663.
   Web of Science ®Google Scholar
• Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of HR analytics. International Journal of Human Resource Management, 28(1), 3–26.
   Web of Science ®Google Scholar
• Malik, A., Budhwar, P., Patel, C., & Srikanth, N. R. (2022). May the bots be with you! Delivering HR cost-effectiveness and individualized employee experiences in an MNE. International Journal of Human Resource Management, 33(6), 1148-1178. https://doi.org/10.1080/09585192.2020.1859582.
   Google Scholar
• Malik, A., Budhwar, P., & Srikanth, N. R. (2020a). Gig economy, 4IR and artificial intelligence: Rethinking strategic HRM. In P. Kumar, A. Agarwal, & P. Budhwar (Eds.), Human & technological resource management (HTRM): New insights into revolution 4.0 (pp. 75–88). Emerald Publications.
   Google Scholar
• Malik, A., Srikanth, N. R., & Budhwar, P. (2020b). Digitization, AI, and HRM. In J. Crashaw, P. Budhwar, & A. Davis (Eds.), Strategic human resource management (pp. 88–110). Sage Publications.
   Google Scholar
• Merry, J. (2013). Aon Hewitt’s 2013 trends in global engagement: Where do organizations need to focus attention? Strategic HR Review, 13(1), 24–31. https://doi.org/10.1108/SHR-07-2013-0073
   Google Scholar
• Meijerink, J., Boons, M., Keegan, A., & Marler, J. (2018). Special issue of the international journal of human resource management: Digitization and the transformation of human resource management. The International Journal of Human Resource Management, 1–5. https://doi.org/10.1080/09585192.2018.1503845
   Google Scholar
• Meijerink, J., Bos-Nehles, A., & de Leede, J. (2020). How employees’ pro-activity translates high-commitment HRM systems into work engagement: The mediating role of job crafting. International Journal of Human Resource Management, 31(22), 2893–2918.
   Web of Science ®Google Scholar
• Menguc, B., Auh, S., Fisher, M., & Haddad, A. (2013). To be engaged or not to be engaged: The antecedents and consequences of service employee engagement. Journal of Business Research, 66(11), 2163–2170. https://doi.org/10.1016/j.jbusres.2012.01.007
   Web of Science ®Google Scholar
• Meyers, M. C., Kooji, D., Kroon, B., de Reuver, R., & van Woerkom, M. (2020). Organizational support for strengths use, work engagement, and contextual performance: The moderating role of age. Applied Research in Quality of Life. 15, 485–502.
   Web of Science ®Google Scholar
• Meynhardt, T., Brieger, S. A., & Hermann, C. (2020). Organizational public value and employee life satisfaction: The mediating roles of work engagement and organizational citizenship behavior. International Journal of Human Resource Management, 31(12), 1560–1593.
   Web of Science ®Google Scholar
• Mishra, S. K. (2014). Linking perceived organizational support to emotional labor. Personnel Review, 43(6), 845–860.
   Web of Science ®Google Scholar
• Moon, Y. (2000). Intimate exchanges: Using computers to elicit self-disclosure from consumers. Journal of Consumer Research, 26(4), 323–339. https://doi.org/10.1086/209566
   Web of Science ®Google Scholar
• Morrison, E. W., & Milliken, F. J. (2000). Organizational silence: A barrier to change and development in a pluralistic world. Academy of Management Review, (4)25, 706–725. https://doi.org/10.5465/amr.2000.3707697
   Web of Science ®Google Scholar
• Nass, C., & Moon, Y. (2000). Machines and mindlessness: Social responses to computers. Journal of Social Issues, 56(1), 81–103. https://doi.org/10.1111/0022-4537.00153
   Web of Science ®Google Scholar
• Ng, T. W. H., & Feldman, D. C. (2010). The relationships of age with job attitudes: A meta-analysis. Personnel Psychology, 63(3), 677–718. https://doi.org/10.1111/j.1744-6570.2010.01184.x
   Web of Science ®Google Scholar
• Nichols, T., Danford, A., & Tasiran, A. C. (2009). Trust, employer exposure and the employment relation. Economic and Industrial Democracy, 30(2), 241–265. https://doi.org/10.1177/0143831X09102429
   Web of Science ®Google Scholar
• Poon, J. M. (2003). Situational antecedents and outcomes of organizational politics perceptions. Journal of Managerial Psychology, 18 (2), 138–155. https://doi.org/10.1108/02683940310465036
   Google Scholar
• Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/brm.40.3.879
   PubMed Web of Science ®Google Scholar
• Prikshat, V., Malik, A., & Budhwar, P. (2021). AI-augmented HRM: Antecedents, assimilation and multilevel consequences. Human Resource Management Review, 100860. https://doi.org/10.1016/j.hrmr.2021.100860
   Google Scholar
• Pyman, A., Holland, P., Teicher, J., & Cooper, B. K. (2010). Industrial relations climate, employee voice and managerial attitudes to unions: An Australian study. British Journal of Industrial Relations, 48(2), 460–480. https://doi.org/10.1111/j.1467-8543.2009.00772.x
   Web of Science ®Google Scholar
• Rees, C., Alfes, K., & Gatenby, M. (2013). Employee voice and engagement: Connections and consequences. International Journal of Human Resource Management, 24(14), 2780–2798.
   Web of Science ®Google Scholar
• Roberts, D. R. (2013). Using engagement analytics to improve organizational performance. Employment Relations Today, (3)40, 57–65. https://doi.org/10.1002/ert.21422
   Google Scholar
• Rosenthal-von der Pütten, A. M., Straßmann, C., & Krämer, N. C. (2016). Robots or agents—Neither helps you more or less during second language acquisition. Experimental study on the effects of embodiment and type of speech output on evaluation and alignment. In Proceedings of the International Conference on Intelligent Virtual Agents (pp. 256–268). Springer. https://doi.org/10.1007/978-3-319-47665-0_23
   Google Scholar
• Rothbard, N. R. (2001). Enriching or depleting? The dynamics of engagement in work and family roles. Administrative Science Quarterly, (4)46, 655–684. https://doi.org/10.2307/3094827
   Web of Science ®Google Scholar
• Rubino, C., Avery, D. R., Volpone, S. D., & Ford, L. (2014). Does teaming obscure low performance? Exploring the temporal effects of team performance diversity. Human Performance, 27(5), 416–434. https://doi.org/10.1080/08959285.2014.956175
   Web of Science ®Google Scholar
• Schneider, B., Macey, W., Barbera, M., & Young, S. (2010). The role of employee trust in understanding employee engagement. In S. Albrecht (Ed.), Handbook of employee engagement: Perspectives, issues, research and practice (pp. 159–173). Edward Elgar.
   Google Scholar
• Shin, Y., Hur, W.-M., & Choi, W.-H. (2020). Coworker support as a double-edged sword: A moderated mediation model of job crafting, work engagement, and job performance. International Journal of Human Resource Management, 31(11), 1417–1438.
   Web of Science ®Google Scholar
• Stavrou, E. T., Charalambous, C., & Spiliotis, S. (2007). Human resource management and performance: A neural network analysis. European Journal of Operational Research, 181(1), 453–467. https://doi.org/10.1016/j.ejor.2006.06.006
   Web of Science ®Google Scholar
• Strohmann, T., Siemon, D., & Robra-Bissantz, S. (2019). Designing virtual in-vehicle assistants: Design guidelines for creating a convincing user experience. AIS Transactions on Human-Computer Interaction, 12(2), 54–78.
   Google Scholar
• Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15–42. https://doi.org/10.1177/0008125619867910
   Web of Science ®Google Scholar
• Torre-Ruiz, J. M., Vidal-Salazar, D. M., & Cordón-Pozo, E. (2019). Employees are satisfied with their benefit, but so what? The consequence of benefit satisfaction on employees’ organizational commitment and turnover intentions. The International Journal of Human Resource Management, 30(13), 2097–2120. https://doi.org/10.1080/09585192.2017.1314315
   Web of Science ®Google Scholar
• Tremblay, M., Cloutier, J., Simard, G., Chênever, D., & Vandenberghe, C. (2010). The role of HRM practices, procedural justice, organizational support, and trust in organizational commitment and in-role and extra-role performance. International Journal of Human Resource Management, 21(3), 405–433.
   Web of Science ®Google Scholar
• Tschang, F. T., & Almirall, E. (2021). Artificial intelligence as augmenting automation: Implications for employment. Academy of Management Perspective, 35(4), 642–659.
   Google Scholar
• Turner, P., Turner, S., & van de Walle, G. (2007). How older people account for their experiences with interactive technology. Behaviour & Information Technology, 26(4), 287–296. https://doi.org/10.1080/01449290601173499
   Web of Science ®Google Scholar
• Tzafrir, S. S. (2005). The relationship between trust, HRM practices and firm performance. The International Journal of Human Resource Management, 16(9), 1600–1622. https://doi.org/10.1080/09585190500239135
   Web of Science ®Google Scholar
• Tzafrir, S. S., Baruch, Y., & Dolan, S. L. (2004). The consequences of emerging HRM practices for employees’ trust in their managers. Personnel Review, 33(6), 628–647. https://doi.org/10.1108/00483480410561529
   Web of Science ®Google Scholar
• Ugwu, F. O., Onyishi, I. E., & Rodríguez-Sánchez, A. M. (2014). Linking organizational trust with employee engagement: The role of psychological empowerment. Personnel Review, 43(3), 377–400. https://doi.org/10.1108/PR-11-2012-0198
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Van Rooy, D. L., Whitman, D. S., Hart, D., & Caleo, S. (2011). Measuring employee engagement during a financial downturn: Business imperative or nuisance? Journal of Business and Psychology, 26(2), 147–152. https://doi.org/10.1007/s10869-011-9225-6
   Web of Science ®Google Scholar
• Vogelgesang, G. R., Leroy, H., & Avolio, B. J. (2013). The mediating effects of leader integrity with transparency in communication and work engagement/performance. The Leadership Quarterly, 24(3), 405–413. https://doi.org/10.1016/j.leaqua.2013.01.004
   Web of Science ®Google Scholar
• Wang, S., Noe, R. A., & Wang, Z.-M. (2014). Motivating knowledge sharing in knowledge management systems: A quasi–field experiment. Journal of Management, 40(4), 978–1009. https://doi.org/10.1177/0149206311412192
   Web of Science ®Google Scholar
• Wilkinson, A., Barry, M., & Morrison, E. (2020). Toward an integration of research on employee voice. Human Resource Management Review, 30(1). https://doi.org/10.1016/j.hrmr.2018.12.001
   Google Scholar
• Wilkinson, A., & Fay, C. (2011). New times for employee voice? Human Resource Management, 50(1), 65–74. https://doi.org/10.1002/hrm.20411
   Web of Science ®Google Scholar
• Wilkinson, A., Gollan, P. J., Kalfa, S., & Xu, Y. (2018). Voices unheard: Employee voice in the new century. International Journal of Human Resource Management, 29(5), 711–724.
   Web of Science ®Google Scholar
• Wright, S. L. (2012). Is it lonely at the top? An empirical study of managers’ and nonmanagers’ loneliness in organizations. The Journal of Psychology, 146 (1–2), 47–60. https://doi.org/10.1080/00223980.2011.585187
   PubMed Web of Science ®Google Scholar
• Xiang, C., Li, C., Wu, K., & Long, L. (2019). Procedural justice and voice: A group engagement model. Journal of Managerial Psychology, 34(7), 491–503. https://doi.org/10.1108/JMP-12-2018-0557
   Web of Science ®Google Scholar
• Xiao, B., & Benbasat, I. (2007). E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quarterly, 31(1), 137–209.
   Web of Science ®Google Scholar
• Xiao, Z., Zhou, M. X., Liao, V. Q., Mark, G., Chi, C., Chen, W., & Yang, H. (2020). Tell me about yourself: Using an ai-powered chatbot to conduct conversational surveys with open-ended questions. ACM Transactions on Computer-Human Interaction, 27(3), 1–37. https://doi.org/10.1145/3381804
   Web of Science ®Google Scholar
• Xu, E., Huang, X., Ouyang, K., Liu, W., & Hu, S. (2020). Tactics of speaking up: The roles of issue importance, perceived managerial openness, and managers’ positive mood. Human Resource Management, 59(3), 255–269. https://doi.org/10.1002/hrm.21992
   Web of Science ®Google Scholar
• Young, H. R., Glerum, D. R., Wang, W., & Joseph, D. L. (2018). Who are the most engaged at work? A meta-analysis of personality and employee engagement. Journal of Organizational Behavior, 39(10), 1330–1346. https://doi.org/10.1002/job.2303
   Web of Science ®Google Scholar
• Zak, P. J. (2017). The neuroscience of trust. Harvard Business Review, Jan-Feb, 84–90.
   Web of Science ®Google Scholar
• Zhou, Y., Fan, X., & Son, J. (2019). How and when matter: Exploring the interaction effects of high-performance work systems, employee participation, and human capital on organizational innovation. Human Resource Management, (3)58, 253–268.
   Web of Science ®Google Scholar