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Research Article

AI Agents as Team Members: Effects on Satisfaction, Conflict, Trustworthiness, and Willingness to Work With

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References

  • Aggarwal, A.; Vogel, D.; and Murayama, Y. Introduction to the minitrack on emerging issues in e-collaboration distributed group decision-making: Opportunities and challenges. In Proceedings of the 54th Hawaii International Conference on System Sciences, 2021, p. 523.
  • Aguinis, H.; and Bradley, K.J. Best practice recommendations for designing and implementing experimental vignette methodology studies. Organizational Research Methods, 17, 4 (2014), 351–371.
  • Amershi, S.; Weld, D.; Vorvoreanu, M.; Fourney, A.; Nushi, B.; Collisson, P.; Suh, J.; Iqbal, S.; Bennett, P.N.; Inkpen, K.; Teevan, J.; Kikin-Gil, R.; and Horvitz, E. Guidelines for human-ai interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland Uk: Association for Computing Machinery, 2019, pp. Paper 3.
  • Avula, S.; Chadwick, G.; Arguello, J.; and Capra, R. Searchbots: User engagement with chatbots during collaborative search. In Proceedings of the 2018 conference on human information interaction & retrieval (2018), pp. 52–61.
  • Azhar, M.Q.; and Sklar, E.I. A study measuring the impact of shared decision making in a human-robot team. The International Journal of Robotics Research, 36, 5–7 (2017), 461–482.
  • Bahrammirzaee, A. A comparative survey of artificial intelligence applications in finance: Artificial neural networks, expert system and hybrid intelligent systems. Neural Computing and Applications, 19, 8 (2010), 1165–1195.
  • Baird, A.; and Maruping, L.M. The next generation of research on is use: A theoretical framework of delegation to and from agentic is artifacts. MIS Quarterly, 45, 1 (2021), 315–341.
  • Barata, J.; da Cunha, P.R., and de Figueiredo, A.D. Implications for futures: The missing section in sustainable information systems research. In ICIS 2019 Proceedings. 2019, pp. 10. https://aisel.aisnet.org/icis2019/research_methods/research_methods/10
  • Bawack, R.; Fosso Wamba, S., and Carillo, K. Where information systems research meets artificial intelligence practice: Towards the development of an ai capability framework. In DIGIT 2019 Proceedings, 2019, pp. 5.
  • Becker, G.S. Altruism in the family and selfishness in the market place. Economica, 48, 189 (1981), 1–15.
  • Benrazavi, S.R.; and Silong, A.D. Employees’ job satisfaction and its influence on willingness to work in teams. Journal of Management Policy and Practice, 14, 1 (2013), 127–140.
  • Bogert, E.; Schecter, A.; and Watson, R.T. Humans rely more on algorithms than social influence as a task becomes more difficult. Scientific Reports, 11, 1 (2021), 8028.
  • Boyce, M.W.; Chen, J.Y.; Selkowitz, A.R.; and Lakhmani, S.G. Effects of agent transparency on operator trust. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts, 2015, pp. 179–180.
  • Briggs, R.; Reinig, B., and de Vreede, G.-J. The yield shift theory of satisfaction and its application to the is/it domain. Journal of the AIS, 9, (2008), 267–93.
  • Briggs, R.O.; Reinig, B.A.; and de Vreede, G.-J. The yield shift theory of satisfaction and its application to the is/it domain. In Y.K. Dwivedi, M.R. Wade, and S.L. Schneberger (eds.), Information Systems Theory: Explaining and Predicting Our Digital Society, vol. 2. New York: Springer, 2012, pp. 185–217.
  • Briggs, T. Use ai to enhance human intelligence, not eliminate it. Journal of Financial Planning, 32, 1 (2019), 26–27.
  • Burton, J.W.; Stein, M.K.; and Jensen, T.B. A systematic review of algorithm aversion in augmented decision making. Journal of Behavioral Decision Making, 33, 2 (2020), 220–239.
  • Cai, C.J.; Winter, S.; Steiner, D.; Wilcox, L.; and Terry, M. “Hello ai”: Uncovering the onboarding needs of medical practitioners for human-ai collaborative decision-making. In Proceedings ACM Hum.-Comput. Interact., 3, CSCW (2019), Article 104.
  • Cao, J.; and Yao, J. Linking different artificial intelligence functions to employees’ psychological appraisals and work. Academy of Management Proceedings, 1 (2020), 19876.
  • Castelvecchi, D. Can we open the black box of ai? Nature News, 538, 7623 (2016), 20.
  • Chatterjee, S.; Moody, G.; Lowry, P.B.; Chakraborty, S.; and Hardin, A. Strategic relevance of organizational virtues enabled by information technology in organizational innovation. Journal of Management Information Systems, 32, 3 (2015), 158–196.
  • Chatterjee, S.; Moody, G.; Lowry, P.B.; Chakraborty, S.; and Hardin, A. Information technology and organizational innovation: Harmonious information technology affordance and courage-based actualization. The Journal of Strategic Information Systems, 29, 1 (2020), 101596.
  • Chatterjee, S.; D Moody, G.; Lowry, P.B.; Chakraborty, S.; and Hardin, A. The nonlinear influence of harmonious information technology affordance on organisational innovation. Information Systems Journal, 31, 2 (2021), 294–322.
  • Chen, J.Y.; Barnes, M.J.; Selkowitz, A.R.; Stowers, K.; Lakhmani, S.G.; and Kasdaglis, N. Human-autonomy teaming and agent transparency. In Companion Publication of the 21st International Conference on Intelligent User Interfaces, 2016, pp. 28–31.
  • Chiasson, M.; Davidson, E.; and Winter, J. Philosophical foundations for informing the future(s) through is research. European Journal of Information Systems, 27, 3 (2018), 367–379.
  • Chiasson, M., and Henfridsson, O. Researching the future: The information systems discipline’s futures infrastructure. In Researching the Future in Information Systems: IFIP WG 8.2 Working Conference, Turku, Finland, June 6–8, 2011. Proceedings. Springer Berlin Heidelberg, 2011, pp. 1–7.
  • Chien, S.-Y.; Lewis, M.; Sycara, K.; Liu, J.-S.; and Kumru, A. Influence of cultural factors in dynamic trust in automation. In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC): IEEE, 2016, pp. 002884–002889.
  • Chiou, E.K.; and Lee, J.D. Cooperation in human-agent systems to support resilience: A microworld experiment. Human Factors, 58, 6 (2016), 846–863.
  • Cohen, J. Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates, 1988.
  • Colquitt, J.A.; and Jackson, C.L. Justice in teams: The context sensitivity of justice rules across individual and team contexts 1. Journal of Applied Social Psychology, 36, 4 (2006), 868–899.
  • Compeau, D.; Marcolin, B.; Kelley, H.; and Higgins, C. Generalizability of information systems research using students—a reflection on our practices and recommendations for future research. Information Systems Research, 23, 4 (2012), 1093–1109.
  • Constantinides, P. How human-ai hybrids will change work forever. Warwick Business School. https://www.wbs.ac.uk/news/how-human-ai-hybrids-willchange-work-forever (accessed on December 03, 2019).
  • Costa, A.C. Work team trust and effectiveness. Personnel Review, 32, 5 (2003), 605–622.
  • Cram, A.W.; D’Arcy, J.; and Proudfoot, J.G. Seeing the forest and the trees: A meta-analysis of the antecedents to information security polict compliance. MIS Quarterly, 43, 2 (2019), 525–554.
  • Crosman, P. A virtual assistant that serves lenders’ employees: Capacity, formerly jane.Ai, originally designed its chatbot to answer consumers’ questions, but when employees started using it, that gave the startup an idea for a new business line. National Mortgage News, 44, 2 (2019), N.PAG–N.PAG.
  • Cruz, C.C.; Gómez-Mejia, L.R.; and Becerra, M. Perceptions of benevolence and the design of agency contracts: Ceo-tmt relationships in family firms. Academy of Management Journal, 53, 1 (2010), 69–89.
  • Cummings, J.; and Dennis, A.R. Virtual first impressions matter: The effect of enterprise social networking sites on impression formation in virtual teams. MIS Quarterly, 42, 3 (2018), 697–718.
  • Dawes, R.M.; Faust, D.; and Meehl, P.E. Clinical versus actuarial judgment. Science, 243, 4899 (1989), 1668–1674.
  • De Dreu, C.K.; and Van Vianen, A.E. Managing relationship conflict and the effectiveness of organizational teams. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 22, 3 (2001), 309–328.
  • De Dreu, C.K.W.; and Weingart, L.R. Task versus relationship conflict, team performance, and team member satisfaction: A meta- analysis. Journal of Applied Psychology, 88, 4 (2003), 741–749.
  • De Jong, B.A.; and Elfring, T. How does trust affect the performance of ongoing teams? The mediating role of reflexivity, monitoring, and effort. Academy of Management Journal, 53, 3 (2010), 535–549.
  • de Visser, E.J.; Pak, R.; and Shaw, T.H. From ‘automation’to ‘autonomy’: The importance of trust repair in human–machine interaction. Ergonomics, 61, 10 (2018), 1409–1427.
  • de Vreede, G.J.; and Briggs, R.O. A program of collaboration engineering research and practice: Contributions, insights, and future directions. Journal of Management Information Systems 36, 1 (2019), 74–119.
  • De Wit, F.R.; Greer, L.L.; and Jehn, K.A. The paradox of intragroup conflict: A meta-analysis. Information systems researchJournal of Applied Psychology, 97, 2 (2012), 360.
  • DeChurch, L.A.; Mesmer-Magnus, J.R.; and Doty, D. Moving beyond relationship and task conflict: Toward a process-state perspective. Journal of Applied Psychology, 98, 4 (2013), 559.
  • Dennis, A.R.; and Reinicke, B. Beta vs. Vhs and the acceptance of electronic brainstorming technology. MIS Quarterly, 28, 1 (2004), 1–20.
  • Dennis, A.R.; Robert Jr, L.P.; Curtis, A.M.; Kowalczyk, S.T.; and Hasty, B.K. Research note—trust is in the eye of the beholder: A vignette study of postevent behavioral controls’ effects on individual trust in virtual teams. Information Systems Research, 23, 2 (2012), 546–558.
  • Dennis, A.R.; and Wixom, B.H. Investigating the moderators of the group support systems use with meta-analysis. Journal of Management Information Systems, 18, 3 (2002), 235–257.
  • Dennis, A.R.; Wixom, B.H.; and Vandenberg, R.J. Understanding fit and appropriation effects in group support systems via meta-analysis. MIS Quarterly, 25, 2 (2001), 167–197.
  • DeRosa, D.M.; Hantula, D.A.; Kock, N.; and D’Arcy, J. Trust and leadership in virtual teamwork: A media naturalness perspective. Human Resource Management Review, 43, 2–3 (2004), 219–232.
  • DeSanctis, G.; and Gallupe, R.B. A foundation for the study of group decision support systems. Management Science, 33, 5 (1987), 589–609.
  • Diederich, S.; Brendel, A.B., and Kolbe, L.M. Towards a taxonomy of platforms for conversational agent design. In 14th International Conference on Wirtschaftsinformatik, February 24–27. Siegen, Germany: Association for Information Systems, 2019, pp. 1100–1114.
  • Dietvorst, B.J.; Simmons, J.P.; and Massey, C. Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144, 1 (2015), 114.
  • Dietvorst, B.J.; Simmons, J.P.; and Massey, C. Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them. Management Science, 64, 3 (2018), 1155–1170.
  • Duhon, J.H.; and Hoch, J.E. Virtual teams in organization. Human Resource Management Review, 27, 4 (2017), 569–574.
  • Earley, P.C. Trust, perceived importance of praise and criticism, and work performance: An examination of feedback in the united states and england. Journal of Management, 12, 4 (1986), 457–473.
  • Eisenhardt, K.M. Agency theory: An assessment and review. Academy of Management Review, 14, 1 (1989), 57–74.
  • Elsbach, K.D.; and Elofson, G. How the packaging of decision explanations affects perceptions of trustworthiness. Academy of Management Journal, 43, 1 (2000), 80–89.
  • Elshan, E.; Zierau, N.; Engel, C.; Janson, A., and Leimeister, J.M. Understanding the design elements affecting user acceptance of intelligent agents: Past, present and future. Information Systems Frontiers, 24, 3 (2022), 699–730.
  • Endsley, M.R. Toward a theory of situation awareness in dynamic systems. Human Factors, 37, 1 (1995), 32–64.
  • Endsley, M.R. From here to autonomy: Lessons learned from human–automation research. Human Factors, 59, 1 (2017), 5–27.
  • Evans, J.S.B. Bias in Human Reasoning: Causes and Consequences. Lawrence Erlbaum Associates, 1989.
  • Faul, F.; Erdfelder, E.; Lang, A.G.; Buchner, A. G*Power 3: A flexible statistical power analysis program for the social, b., and bio. G*power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39 (2007), 175–191.
  • Fetzer, J.H. Artificial Intelligence: Its Scope and Limits. Amsterdam: Springer Netherlands, 2012.
  • Fjermestad, J.; and Hiltz, S.R. Group support systems: A descriptive evaluation of case and field studies. Journal of Management Information Systems, 17, 3 (2000-2001), 115–161.
  • Fornell, C.; and Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 1 (1981), 39–50.
  • Fuller, M.A.; Hardin, A.M.; and Davison, R.M. Efficacy in technology-mediated distributed teams. Journal of Management Information Systems, 23, 3 (2006), 209–235.
  • Gao, J.; Galley, M., and Li, L. Neural approaches to conversational AI. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts. Melbourne, Australia: Association for Computational Linguistics, 2018, pp. 2–7.
  • Gefen, D.; and Straub, D.W. Consumer trust in b2c e-commerce and the importance of social presence: Experiments in e-products and e-services. Omega, 32, 6 (2004), 407–424.
  • Glikson, E.; and Woolley, A.W. Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14, 2 (2020), 627–660.
  • Greenberg, J.; and Eskew, D.E. The role of role playing in organizational research. Journal of Management, 19, 2 (1993), 221–241.
  • Grimm, D.A.; Demir, M.; Gorman, J.C.; and Cooke, N.J. Team situation awareness in human-autonomy teaming: A systems level approach. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting: SAGE Publications Sage CA: Los Angeles, CA, 2018, pp. 149–149.
  • Grove, W.M.; Zald, D.H.; Lebow, B.S.; Snitz, B.E.; and Nelson, C. Clinical versus mechanical prediction: A meta-analysis. Psychological assessment, 12, 1 (2000), 19.
  • Hafizoglu, F.M., and Sen, S. Reputation based trust in human-agent teamwork without explicit coordination. In Proceedings of the 6th International Conference on Human-Agent Interaction. New York, NY: Association for Computing Machinery, 2018, pp. 238–245.
  • Hancock, P.A. Imposing limits on autonomous systems. Ergonomics, 60, 2 (2017), 284–291.
  • Hanna, N., and Richards, D. The impact of communication on a human-agent shared mental model and team performance. In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems. Paris, France: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2014, pp. 1485–1486.
  • Hanna, N., and Richards, D. The impact of virtual agent personality on a shared mental model with humans during collaboration. In R. Bordini, E. Elkind, G. Weiss, and P. Yolum (eds.), Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), May, 4–8. Paris, France: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) Publication, 2015, pp. 1777–1778.
  • Hanson III, C.W.; and Marshall, B.E. Artificial intelligence applications in the intensive care unit. Critical Care Medicine, 29, 2 (2001), 427–435.
  • Hayes, A.F. Introduction to Mediation, Moderation, and Conditional Process Analysis. New York: Guilford Press, 2017.
  • Hinds, P., and McGrath, C. Structures that work: Social structure, work structure and coordination ease in geographically distributed teams. In Proceedings of the 20th Conference on Computer Supported Cooperative Work. Banff, Alberta, Canada: Association for Computing Machinery Publication, 2006, pp. 343–352.
  • Hoffman, M.; Kahn, L.B.; and Li, D. Discretion in hiring. The Quarterly Journal of Economics, 133, 2 (2018), 765–800.
  • Hughes, R. Vignettes. In L.M. Given (ed.), The Sage Encyclopedia of Qualitative Methods. Los Angeles: SAGE Publications, 2008, pp. 918–920.
  • Janboecke, S.; Loeffler, D.; and Hassenzahl, M. Using experimental vignettes to study early-stage automation adoption. arXiv.org, arXiv:2004.07032 (2020).
  • Jarrahi, M.H. Artificial intelligence and the future of work: Human-ai symbiosis in organizational decision making. Business Horizons, 61, 4 (2018), 577–586.
  • Jarvenpaa, S.L.; Knoll, K.; and Leidner, D.E. Is anybody out there? Antecedents of trust in global virtual teams. Journal of Management Information Systems, 14, 4 (1998), 29–64.
  • Jarvenpaa, S.L.; and Leidner, D.E. Communication and trust in global virtual teams. Organization Science, 10, 6 (1999), 791–815.
  • Jarvenpaa, S.L.; and Staples, D.S. The use of collaborative electronic media for information sharing: An exploratory study of determinants. The Journal of Strategic Information Systems, 9, 2–3 (2000), 129–154.
  • Jehn, K.A. Aqualitative analysis of conflict types and dimensions in organizational groups. Administrative Science Quarterly, 42, 3 (1997), 530–557.
  • Jehn, K.A.; and Mannix, E.A. The dynamic nature of conflict: A longitudinal study of intragroup conflict and group performance. Academy of Management Journal, 44, 2 (2001), 238–251.
  • Jones, G.R.; and George, J.M. The experience and evolution of trust: Implications for cooperation and teamwork. Academy of Management Review, 23, 3 (1998), 531–546.
  • Kahneman, D.; and Miller, D.T. Norm theory: Comparing reality to its alternatives. Psychological Review, 93, 2 (1986), 136–153.
  • Kaplan, A.; and Haenlein, M. Siri, siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62, 1 (2019), 15–25.
  • Komiak, S.Y., and Benbasat, I. The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quarterly, 30, 4 (2006), 941–960.
  • Kramer, R.M., and Tyler, T.R. Trust in Organizations: Frontiers of Theory and Research. Thousand Oaks, California: Sage Publications, 1995.
  • Larson, L.; and DeChurch, L.A. Leading teams in the digital age: Four perspectives on technology and what they mean for leading teams. Leadership Quarterly, 31, 1 (2020), N.PAG–N.PAG.
  • Lawless, W.F. Quantum-like interdependence theory advances autonomous human–machine teams (a-hmts). Entropy, 22, 11 (2020), 1227.
  • Lebeuf, C.; Storey, M.-A.; and Zagalsky, A. Software bots. IEEE Software, 35, 1 (2018), 18–23.
  • Leung, M.Y.; Ng, S.T.; and Cheung, S.O. Measuring construction project participant satisfaction. Construction Management and Economics, 22, 3 (2004), 319–331.
  • Locke, E.A.; Smith, K.G.; Erez, M.; Chah, D.-O.; and Schaffer, A. The effects of intra-individual goal conflict on performance. Journal of Management, 20, 1 (1994), 67–91.
  • Logg, J.M.; Minson, J.A.; and Moore, D.A. Algorithm appreciation: People prefer algorithmic to human judgment. Organizational Behavior and Human Decision Processes, 151 (2019), 90–103.
  • Luo, X.; Qin, M.S.; Fang, Z.; and Qu, Z. Artificial intelligence coaches for sales agents: Caveats and solutions. Journal of Marketing, 85, 2 (2021), 14–32.
  • Luo, X.; F.Z.; Peng, H. When artificial intelligence backfires: The effects of dual ai-human supervision on employee performance. MIS Quarterly, Forthcoming (2022).
  • Lyons, J.B.; Sycara, K.; Lewis, M.; and Capiola, A. Human–autonomy teaming: Definitions, debates, and directions. Frontiers in Psychology, 12, 1932 (2021).
  • Lyons, J.B.; Wynne, K.T.; Mahoney, S., and Roebke, M.A. Trust and human-machine teaming: A qualitative study. In W. Lawless, R. Mittu, D. Sofge, I. Moskowitz, and S. Russell (eds.), Artificial Intelligence for the Internet of Everything, Elsevier, (2019), 101–116.
  • Marks, M.A.; Mathieu, J.E.; and Zaccaro, S.J. A temporally based framework and taxonomy of team processes. The Academy of Management Review, 26, 3 (2001), 356–376.
  • Martínez-Moreno, E.; González-Navarro, P.; Zornoza, A., and Ripoll, P. Relationship, task and process conflicts on team performance: The moderating role of communication media. International Journal of Conflict Management, 20, (2009), 251–268.
  • Mayer, R.C.; Davis, J.H.; and Schoorman, F.D. An integrative model of organizational trust. Academy of Management Review, 20, 3 (1995), 709–734.
  • McGrath, J.E. Time, interaction, and performance (tip): A theory of groups. Small Group Research, 22, 2 (1991), 147–174.
  • Mennecke, B.E.; and Valacich, J.S. Information is what you make of it: The influence of group history and computer support on information sharing, decision quality and member perceptions. Journal of Management Information Systems, 15, 2 (1988), 173–197.
  • Mills, A.M., and Liu, L.F. Trust in digital humans. In ACIS 2020 Proceedings, 2020, pp. 96.
  • Monod, E.; Sarker, S.; Hevner, A.; Gupta, A.; Barrett, M.; Venkatesh, V.; Lyytinen, K., and Boland, R. Are design sciences, economics and behavioral sciences critical enough on ai? A debate between three voices within the is discipline. In ICIS 2019 Proceedings, 2019, pp. 1.
  • Murray, A.; Rhymer, J.; and Sirmon, D.G. Humans and technology: Forms of conjoined agency in organizations. Academy of Management Review, 46, 3 (2020), 552–571.
  • Nakayachi, K.; and Watabe, M. Restoring trustworthiness after adverse events: The signaling effects of voluntary “hostage posting” on trust. Organizational Behavior and Human Decision Processes, 97, 1 (2005), 1–17.
  • Norman, D. Design, business models, and human-technology teamwork: As automation and artificial intelligence technologies develop, we need to think less about human-machine interfaces and more about human-machine teamwork. Research-Technology Management, 60, 1 (2017), 26–30.
  • Nørskov, S.; Damholdt, M.F.; Ulhøi, J.P.; Jensen, M.B.; Ess, C., and Seibt, J. Applicant fairness perceptions of a robot-mediated job interview: A video vignette-based experimental survey. Frontiers in Robotics and AI, 7, (2020), 586263.
  • Nunamaker, J.F.; Dennis, A.R.; Valacich, J.S.; Vogel, D.; and George, J.F. Electronic meeting systems. Communications of the ACM, 34, 7 (1991), 40–61.
  • O’Neill, T.; McNeese, N.; Barron, A.; and Schelble, B. Human–autonomy teaming: A review and analysis of the empirical literature. Human Factors, 64 (2022), 904–938.
  • Paul, S.; He, F., and Dennis, A.R. Group atmosphere, shared understanding, and team conflict in short duration virtual teams. In Hawaii International Conference on System Sciences 2018. Hawaii: Proceedings of the 51st Hawaii International Conference on System Sciences, 2018, pp. 361–370.
  • Pelled, L.H.; Eisenhardt, K.M., and Xin, K.R. Exploring the black box: An analysis of work group diversity, conflict, and performance. Administrative Science Quarterly, 44, 1 (1999), 1–28.
  • Pondy, L.R. Organizational conflict: Concepts and models. Administrative Science Quarterly, 12, 2 (1967), 296–320.
  • Raghuram, S.; Hill, N.S.; Gibbs, J.L.; and Maruping, L.M. Virtual work: Bridging research clusters. Academy of Management Annals, 13, 1 (2019), 308–341.
  • Rahwan, I.; Cebrian, M.; Obradovich, N.; Bongard, J.; Bonnefon, J.-F.; Breazeal, C.; Crandall, J.W.; Christakis, N.A.; Couzin, I.D.; and Jackson, M.O. Machine behaviour. Nature, 568, 7753 (2019), 477–486.
  • Rai, A.; Constantinides, P.; and Sarker, S. Next-generation digital platforms: Toward human–ai hybrids. MIS Quarterly, 43, 1 (2019), iii–ix.
  • Reinholt, M.; Pedersen, T.; and Foss, N.J. Why a central network position isn’t enough: The role of motivation and ability for knowledge sharing in employee networks. Academy of Management Journal, 54, 6 (2011), 1277–1297.
  • Reinig, B.A. Towards an understanding of satisfaction with the process and outcomes of teamwork. Journal of Management Information Systems, 19, 4 (2003), 65–83.
  • Robert, L.P.; Denis, A.R.; and Hung, Y.-T.C. Individual swift trust and knowledge-based trust in face-to-face and virtual team members. Journal of Management Information Systems, 26, 2 (2009), 241–279.
  • Robinson, R.J.; Keltner, D.; Ward, A.; and Ross, L. Actual versus assumed differences in construal: “I realism” in intergroup perception and conflict. Journal of Personality and Social Psychology 68, 3 (1995), 404–417.
  • Rotter, J.B. Social learning and Clinical Psychology. New York: Prentice-Hall, 1954.
  • Russell, S., and Norvig, P. Artificial Intelligence: A modern Approach. Upper Saddle River, NJ: Prentice Hall Press, 2003.
  • Schoorman, F.D. Escalation bias in performance appraisals: An unintended consequence of supervisor participation in hiring decisions. Journal of Applied Psychology, 73, 1 (1988), 58.
  • Schoorman, F.D.; Mayer, R.C.; and Davis, J.H. An integrative model of organizational trust: Past, present, and future. Academy of Management Review, 32, 2 (2007), 344–354.
  • Schuetz, S., and Venkatesh, V. Research perspectives: The rise of human machines: How cognitive computing systems challenge assumptions of user-system interaction. Journal of the Association for Information Systems, 21, 2 (2020), 460–482.
  • Schwarz, N.; and Bless, H. Mental construal processes: The inclusion/exclusion model. In, Stapel, D.A., and Suls, J., (eds.), Assimilation and Contrast in Social Psychology, Philadelphia: Psychology Press, 2007, pp. 119–141.
  • Seeber, I.; Bittner, E.; Briggs, R.O.; de Vreede, T.; de Vreede, G.-J.; Elkins, A.; Maier, R.; Merz, A.B.; Oeste-Reiß, S.; Randrup, N.; Schwabe, G.; and Söllner, M. Machines as teammates: A research agenda on ai in team collaboration. Information & Management, 57, 2 (2020), 103–174.
  • Shaw, J.C.; Wild, R.E.; and Colquitt, J.A. To justify or excuse? A meta-analysis of the effects of explanations. Journal of Applied Psychology, 88, 3 (2003), 444–458.
  • Silva, E.S.; and Bonetti, F. Digital humans in fashion: Will consumers interact? Journal of Retailing and Consumer Services, 60, 102430 (2021).
  • Simons, T.; and Peterson, R. Task conflict and relationship conflict in top management teams: The pivotal role of intragroup trust. Journal of Applied Psychology, 85, 1 (2000), 102–111.
  • Spector, P. Behavior in organizations as a function of employee’s locus of control. Psychological Bulletin, 91, 3 (1982), 482–497.
  • Stark, E.M.; and Bierly III, P.E. An analysis of predictors of team satisfaction in product development teams with differing levels of virtualness. R&D Management, 39, 5 (2009), 461–472.
  • Steina, J.-P.; Appela, M.; Jostb, A., and Ohlerb, P. Matter over mind? How the acceptance of digital entities depends on their appearance, mental prowess, and the interaction between both. International Journal of Human-Computer Studies, 142, (2020), 102463.
  • Stout, N.; Dennis, A.R.; and Wells, T.M. The buck stops there: The impact of perceived accountability and control on the intention to delegate to software agents. AIS Transactions on Human Computer Interaction, 61, 1 (2014), 1–15.
  • Tong, S.; Jia, N.; Luo, X., and Fang, Z. The janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance. Strategic Management Journal, 42, 9 (2021), 1600–1631 .
  • Tong, S.; Jia, N.; Luo, X.; and Fang, Z. The janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance. Strategic Management Journal, 42, 9 (2021), 1600–1631.
  • Vance, A.; Elie-Dit-Cosaque, C.; and Straub, D.W. Examining trust in information technology artifacts: The effects of system quality and culture. Journal of Management Information Systems, 24, 4 (2008), 73–100.
  • Vlahos, J. Talk to Me: Amazon, Google, Apple and the Race for Voice-Controlled AI. New York: Random House, 2019.
  • Wakunuma, K.J.; and Stahl, B.C. Tomorrow’s ethics and today’s response: An investigation into the ways information systems professionals perceive and address emerging ethical issues. Information Systems Frontiers, 16 (2014), 383–397.
  • Walliser, J.C.; de Visser, E.J.; Wiese, E.; and Shaw, T.H. Team structure and team building improve human–machine teaming with autonomous agents. Journal of Cognitive Engineering and Decision Making, 13, 4 (2019), 258–278.
  • Webber, S.S.; Detjen, J.; MacLean, T.L.; and Thomas, D. Team challenges: Is artificial intelligence the solution? Business Horizons, 62, 6 (2019), 741–750.
  • Wright, D. Chatbots and beyond: Six AI trends reshaping the workplace. Forbes (2020).
  • Wynne, K.T.; and Lyons, J.B. An integrative model of autonomous agent teammate-likeness. Theoretical Issues in Ergonomics Science, 19, 3 (2018), 353–374.
  • Zhou, L.; Paul, S.; Demirkan, H.; Yuan, L.; Spohrer, J.; Zhou, M.; and Basu, J. Intelligence augmentation: Towards building human-machine symbiotic relationship. AIS Transactions on Human-Computer Interaction, 13, 2 (2021), 243–264.
  • Zou, J.; and Schiebinger, L. Design AI so that it’s fair. Nature, 559, 12 July (2018), 324–326.

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