The Power of Introverts: Personality and Intelligence in Virtual Teams

References

• Abbasi, A.; and Chen, H. Cybergate: A design framework and system for text analysis of computer-mediated communication. MIS Quarterly, 32, 4 (2008), 811–837.
   Web of Science ®Google Scholar
• Amichai-Hamburger, Y.; Wainapel, G.; and Fox, S. “On the Internet no one knows i’m an introvert”: Extroversion, neuroticism, and internet interaction. CyberPsychology & Behavior, 5, 2 (2002), 125–128.
   Google Scholar
• Antheunis, M.L.; Schouten, A.P.; and Walther, J.B. The hyperpersonal effect in online dating: Effects of text-based CMC vs. videoconferencing beforemeeting face-to-face. Media Psychology, 23, 6 (2020), 820–839.
   Web of Science ®Google Scholar
• Antoniadou, N.; Kokkinos, C.M.; and Markos, A. Psychopathic traits and social anxiety in cyber-space: A context-dependent theoretical framework explaining online disinhibition. Computers in Human Behavior, 99(2019), 228–234.
   Google Scholar
• Balthazard, P.A.; Potter, R.E.; and Warren, J. The effects of extraversion and expertise on virtual team interaction and performance. in Proceedings of the 35th Annual Hawaii International Conference on System Sciences, 2002.
   Google Scholar
• Barlow, J.B. Emergent roles in decision-making tasks using group chat. In Proceedings of the 2013 conference on Computer supported cooperative work: ACM, 2013, pp. 1505–1514.
   Google Scholar
• Barlow, J.B.; and Dennis, A.R. Group coordination structuring: A process to facilitate collective intelligence in virtual group work. Collective Intelligence Conference, New York, New York, 2016.
   Google Scholar
• Barlow, J.B.; and Dennis, A.R. Not as smart as we think: A study of collective intelligence in virtual groups. Journal of Management Information Systems, 33, 3 (2016), 684–712.
   Web of Science ®Google Scholar
• Baron-Cohen, S.; Wheelwright, S.; Hill, J.; Raste, Y.; and Plumb, I. The “Reading the Mind in the Eyes” test revised version: A study with normal adults, and adults with Asperger Syndrome or High-functioning autism. Journal of Child Psychology and Psychiatry, 42, 2 (2001), 241–251.
   Web of Science ®Google Scholar
• Barrick, M.R.; and Mount, M.K. The big five personality dimensions and job performance: A meta‐analysis. Personnel Psychology, 44, 1 (1991), 1–26.
   Web of Science ®Google Scholar
• Barrick, M.R.; and Mount, M.K. Yes, personality matters: Moving on to more important matters. Human Performance, 18, 4 (2005), 359–372.
   Web of Science ®Google Scholar
• Barrick, M.R.; Mount, M.K.; and Judge, T.A. Personality and performance at the beginning of the new millennium: What Do we know and where do we go next? International Journal of Selection and Assessment, 9, 1–2 (2001), 9–30.
   Web of Science ®Google Scholar
• Barrick, M.R.; Stewart, G.L.; Neubert, M.J.; and Mount, M.K. Relating member ability and personality to work-team processes and team effectiveness. Journal of Applied Psychology, 83, 3 (1998), 377–391.
   Web of Science ®Google Scholar
• Barry, B.; and Stewart, G.L. Composition, process, and performance in self-managed groups: The role of personality. Journal of Applied Psychology, 82, 1 (1997), 62–78.
   PubMed Web of Science ®Google Scholar
• Baumert, A.; Schmitt, M.; Perugini, M.; Johnson, W.; Blum, G.; Borkenau, P.; Costantini, G.; Denissen, J.J.A.; Fleeson, W.; Grafton, B.; Jayawickreme, E.; Kurzius, E.; MacLeod, C.; Miller, L.C.; Read, S.J.; Roberts, B.; Robinson, M.D.; Wood, D.; Wrzus, C.; and Mõttus, R. Integrating personality structure, personality process, and personality development. European Journal of Personality, 31, 5 (2017), 503–528.
   Web of Science ®Google Scholar
• Bell, B.S.; and Kozlowski, S.W.J. A typology of virtual teams: Implications for effective leadership. Group Organization Management, 27(2002), 14–49.
   Google Scholar
• Bell, S.T. Deep-level composition variables as predictors of team performance: A meta-analysis. Journal of Applied Psychology, 92, 3 (2007), 595–615.
   PubMed Web of Science ®Google Scholar
• Bell, S.T.; Brown, S.G.; Colaneri, A.; and Outland, N. Team composition and the ABCs of teamwork. American Psychologist, 73, 4 (2018), 349.
   PubMed Web of Science ®Google Scholar
• Blades, J.W. The influence of intelligence, task ability and motivation on group performance. Dissertation, University of Washington. Dissertation Abstracts International, 37 (1976), 1463.
   Google Scholar
• Blickle, G.; Kramer, J.; and Mierke, J. Telephone-administered intelligence testing for research in work and organizational psychology: A comparative assessment study. European Journal of Psychological Assessment, 26, 3 (2010), 154–161.
   Web of Science ®Google Scholar
• Buhler, T.; Neustaedter, C.; and Hillman, S. How and why teenagers use video chat. In Proceedings of the 2013 Conference on Computer Supported Cooperative Work: ACM, 2013, pp. 759–768.
   Google Scholar
• Cain, S. Quiet: The Power of Introverts in a World that Can’t Stop Talking. New York: Crown, 2012.
   Google Scholar
• Ceci, S.J.; and Williams, W.M. Schooling, intelligence, and income. American Psychologist 52, 10 (1997), 1051–1058.
   Google Scholar
• Cheng, X.; Fu, S.; and Druckenmiller, D. Trust development in globally distributed collaboration: A case of US and Chinese mixed teams. Journal of Management Information Systems, 33, 4 (2017), 978–1007.
   Web of Science ®Google Scholar
• Chudoba, K.M.; Wynn, E.; Lu, M.; and Watson-Manheim, M.B. How virtual are we? Measuring virtuality and understanding its impact in a global organization. Information Systems Journal, 15, 4 (2005), 279–306.
   Web of Science ®Google Scholar
• Cohen, J. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Lawrence Erlbaum Associates, 1988.
   Google Scholar
• Cohen, S.; and Wills, T.A. Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98, 2 (1985), 310–357.
   PubMed Web of Science ®Google Scholar
• Compeau, D.; Marcolin, B.; Kelley, H.; and Higgins, C. Generalizability of information systems research using student subjects - a reflection on our practices and recommendations for future research. Information Systems Research, 23, 4 (2012), 1093–1109.
   Web of Science ®Google Scholar
• Costa Jr., P.T.; and McCrae, R.R. Four ways five factors are basic. Personality and Individual Differences, 13, 6 (1992), 653–665.
   Web of Science ®Google Scholar
• Costa, P.T., and McCrae, R.R. Revised NEO Personality Inventory (NEO-PR-I). In G.J. Boyle, G. Matthews, and D.H. Saklofske (eds.), The SAGE Handbook of Personality Theory and Assessment. London: Sage, 1992, pp. 179–198.
   Google Scholar
• Costa, P.T.; McCrae, R.R.; and Dye, D.A. Facet scales for agreeableness and conscientiousness: A revision of the NEO Personality Inventory. Personality and Individual Differences, 12, 9 (1991), 887–898.
   Web of Science ®Google Scholar
• Costa Jr, P.T.; Terracciano, A.; and McCrae, R.R. Gender differences in personality traits across cultures: robust and surprising findings. Journal of Personality and Social Psychology, 81, 2 (2001), 322.
   PubMed Web of Science ®Google Scholar
• Cramton, C.D. The mutual knowledge problem and its consequences for dispersed collaboration. Organization Science, 12, 3 (2001), 346–371.
   Web of Science ®Google Scholar
• Curtis, A.M.; Dennis, A.R.; and McNamara, K.O. From monologue to dialogue: Performative objects to promote collective mindfulness in computer-mediated team discussions. MIS Quarterly, 41, 2 (2017), 559–581.
   Web of Science ®Google Scholar
• Day, E.A.; Arthur, W.; Miyashiro, B.; Edwards, B.D.; Tubre, T.C.; and Tubre, A.H. Criterion-related validity of statistical operationalizations of group general cognitive ability as a function. Journal of Applied Social Psychology, 34, 7 (2004), 1521–1549.
   Web of Science ®Google Scholar
• Deary, I.J. Looking Down on Human Intelligence: From Psychometrics to the Brain. New York, NY: Oxford University Press, 2000.
   Google Scholar
• Dennis, A.R. Information exchange and use in group decision making: You can lead a group to information but you can’t make it think. MIS Quarterly, 20, 4 (1996), 433–455.
   Web of Science ®Google Scholar
• Dennis, A.R.; Fuller, R.M.; and Valacich, J.S. Media, tasks, and communication processes: A theory of media synchronicity. MIS Quarterly, 32, 3 (2008), 575–600.
   Web of Science ®Google Scholar
• Dennis, A.R.; Rennecker, J.A.; and Hansen, S. Invisible whispering: Restructuring collaborative decision making with instant messaging. Decision Sciences, 41, 4 (2010), 845–886.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• 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), 167–193.
   Web of Science ®Google Scholar
• Devine, D.J. Effects of cognitive ability, task knowledge, information sharing, and conflict on group decision-making effectiveness. Small Group Research, 30, 5 (1999), 608–634.
   Web of Science ®Google Scholar
• Devine, D.J.; and Philips, J.L. Do smarter teams do better: A meta-analysis of cognitive ability and team performance. Small Group Research, 44, 3 (2001), 507–532.
   Web of Science ®Google Scholar
• Dineen, B.R. TeamXchange: A team project experience involving virtual teams and fluid team membership. Journal of Management Education, 29, 4 (2005), 593–616.
   Google Scholar
• Dodrill, C.B. Long-term reliability of the Wonderlic Personnel Test. Journal of Consulting and Clinical Psychology, 51, 2 (1983), 316–317.
   Web of Science ®Google Scholar
• Dodrill, C.B.; and Warner, M.H. Further studies of the Wonderlic Personnel Test as a brief measure of intelligence. Journal of Consulting and Clinical Psychology, 56, 1 (1988), 145–147.
   PubMed Web of Science ®Google Scholar
• Dubrovsky, V.J.; Kiesler, S.; and Sethna, B.N. The equalization phenomenon: Status effects in computer-mediated and face-to-face decisionmaking groups. Human Computer Interaction, 6(1991), 119–146.
   Google Scholar
• Dunn, W.S.; Mount, M.K.; Barrick, M.R.; and Ones, D.S. Relative importance of personality and general mental ability in managers’ judgments of applicant qualifications. Journal of Applied Psychology, 80, 4 (1995), 500–509.
   PubMed Web of Science ®Google Scholar
• Engel, D.; Woolley, A.W.; Jing, L.X.; Chabris, C.F.; and Malone, T.W. Reading the mind in the eyes or reading between the lines? Theory of Mind predicts collective intelligence equally well online and face-to-face. PLOS One, 9, 12 (2014), 1–16.
   Web of Science ®Google Scholar
• Feingold, A. Gender differences in personality: A meta-analysis. Psychological Bulletin, 116, 3 (1994), 429.
   PubMed Web of Science ®Google Scholar
• Feldman, D.C. The development and enforcement of group norms. Academy of management review, 9, 1 (1984), 47–53.
   Web of Science ®Google Scholar
• Fiedler, F.E.; and Meuwere, W.A.T. Leader’s contribution to task performance in cohesive and uncohesive groups. Journal of Abnormal and Social Psychology, 67, 1 (1963), 83–87.
   PubMed Web of Science ®Google Scholar
• Fjermestad, J.; and Hiltz, S.R. An assessment of group support systems experimental research: Methodology and results. Journal of Management Information Systems, 15, 3 (1998), 7–149.
   Web of Science ®Google Scholar
• Fuller, R.M.; and Dennis, A.R. Does fit matter? The impact of task-technology fit and appropriation on team performance in repeated tasks. Information Systems Research, 20, 1 (2009), 2–27.
   Web of Science ®Google Scholar
• George, J.F.; Carlson, J.R.; and Valacich, J.S. Media selection as a strategic component of communication. MIS Quarterly, 37, 4 (2013), 1233–1251.
   Web of Science ®Google Scholar
• Gilson, L.L.; Maynard, M.T.; Jones Young, N.C.; Vartiainen, M.; and Hakonen, M. Virtual teams research: 10 years, 10 themes, and 10 opportunities. Journal of Management, 41, 5 (2015), 1313–1337.
   Web of Science ®Google Scholar
• Gimpel, H.; Heger, S.; Olenberger, C.; and Utz, L. The effectiveness of social norms in fighting fake news on social media. Journal of Management Information Systems, 38, 1 (2021), 196–221.
   Web of Science ®Google Scholar
• Gonzalez-Mulé, E.; DeGeest, D.S.; McCormick, B.W.; Seong, J.Y.; and Brown, K.G. Can we get some cooperation around here? The mediating role of group norms on the relationship between team personality and individual helping behaviors. Journal of Applied Psychology, 99, 5 (2014), 988.
   PubMed Web of Science ®Google Scholar
• Grant, A.M.; Gino, F.; and Hofmann, D.A. Reversing the extraverted leadership advantage: The role of employee proactivity. Academy of Management Journal, 54, 3 (2011), 528–550.
   Web of Science ®Google Scholar
• Gunthert, K.C.; Cohen, L.H.; and Armeli, S. The role of neuroticism in daily stress and coping. Journal of Personality and Social Psychology, 77, 5 (1999), 1087–1100.
   PubMed Web of Science ®Google Scholar
• Hackman, J., R. The design of work teams. In J. Lorsch (ed.), Handbook of Organizational Behavior. Englewood Cliffs, NJ: Prentice Hall, 1987, pp. 315–342.
   Google Scholar
• Hackman, J.R.; and Kaplan, R.E. Interventions into group process: An approach to improving the effectiveness of groups. Decision Sciences, 5(1974), 459–480.
   Google Scholar
• Harrison, D.A.; Price, K.H.; Gavin, J.H.; and Florey, A.T. Time, teams, and task performance: Changing effects of surface- and deep-level diversity on group functioning. Academy of Management Journal, 45, 5 (2002), 1029–1045.
   Web of Science ®Google Scholar
• Hassell, M.D.; and Cotton, J.L. Some things are better left unseen: Toward more effective communication and team performance in video-mediated interactions. Computers in Human Behavior, 73(2017), 200–208.
   Google Scholar
• Heninger, W.G.; Dennis, A.R.; and Hilmer, K.M. Individual cognition and dual-task interference in group support systems. Information Systems Research, 17, 4 (2006), 415–424.
   Web of Science ®Google Scholar
• Heylighen, F.; and Dewaele, J.-M. Variation in the contextuality of language: An empirical measure. Foundations of science, 7, 3 (2002), 293–340.
   Google Scholar
• Hitt, M.A.; Beamish, P.W.; Jackson, S.E.; and Mathieu, J.E. Building theoretical and empirical bridges across levels: Multilevel research in management. Academy of Management Journal, 50, 6 (2007), 1385–1399.
   Web of Science ®Google Scholar
• Hoch, J.E.; and Dulebohn, J.H. Team personality composition, emergent leadership and shared leadership in virtual teams: A theoretical framework. Human Resource Management Review, 27, 4 (2017), 678–693.
   Web of Science ®Google Scholar
• Jessup, L.M.; Connolly, T.; and Tansik, D.A. Toward a theory of automated group work: The deindividuating effects of anonymity. Small Group Research, 21(1990), 333–348.
   Google Scholar
• John, O.P.; Donahue, E.M.; and Kentle, R.L. The big five inventory—versions 4a and 54. Berkeley, CA: University of California, Berkeley, Institute of Personality and Social Research, 1991.
   Google Scholar
• John, O.P.; Naumann, L.P.; and Soto, C.J. Paradigm shift to the integrative big five trait taxonomy. Handbook of Personality: Theory and Research, 3, 2 (2008), 114–158.
   Google Scholar
• Judge, T.A.; Bono, J.E.; Ilies, R.; and Gerhardt, M.W. Personality and leadership: A qualitative and quantitative review. Journal of Applied Psychology, 87, 4 (2002), 765–780.
   PubMed Web of Science ®Google Scholar
• Judge, T.A.; Piccolo, R.F.; and Kosalka, T. The bright and dark sides of leader traits: A review and theoretical extension of the leader trait paradigm. The Leadership Quarterly, 20, 6 (2009), 855–875.
   Web of Science ®Google Scholar
• Jung, J.H.; Schneider, C.; and Valacich, J. Enhancing the motivational affordance of information systems: The effects of real-time performance feedback and goal setting in group collaboration environments. Management Science, 56, 4 (2010), 724–742.
   Web of Science ®Google Scholar
• Kickul, J.; and Neuman, G. Emergent leadership behaviors: The function of personality and cognitive ability in determining teamwork performance and KSAs. Journal of Business and Psychology, 15, 1 (2000), 27–51.
   Web of Science ®Google Scholar
• Kiesler, S.; Siegel, J.; and McGuire, T.W. Social psychological aspects of computer-mediated communication. American Psychologist, 39, 10 (1984), 1123–1134.
   Web of Science ®Google Scholar
• Kirkman, B.L.; Rosen, B.; Gibson, C.B.; Tesluk, P.E.; and McPherson, S.O. Five challenges to virtual team success: Lessons from Sabre, Inc. Academy of Management Perspectives, 16, 3 (2002), 67–79.
   Web of Science ®Google Scholar
• Klein, K.J.; and Kozlowski, S.W. From micro to meso: Critical steps in conceptualizing and conducting multilevel research. Organizational Research Methods, 3, 3 (2000), 211–236.
   Web of Science ®Google Scholar
• Kniffin, K.M.; Narayanan, J.; Anseel, F.; Antonakis, J.; Ashford, S.P.; Bakker, A.B.; Bamberger, P.; Bapuji, H.; Bhave, D.P.; Choi, V.K.; Creary, S.J.; Demerouti, E.; Flynn, F.J.; Gelfand, M.J.; Greer, L.L.; Johns, G.; Kesebir, S.; Klein, P.G.; Lee, S.Y.; Ozcelik, H.; Petriglieri, J.L.; Rothbard, N.P.; Rudolph, C.W.; Shaw, J.D.; Sirola, N.; Wanberg, C.R.; Whillans, A.; Wilmot, M.P.; and Vugt, M.v. COVID-19 and the workplace: Implications, issues, and insights for future research and action. American Pyschologist, 76, 1 (2021), 63–77.
   PubMed Web of Science ®Google Scholar
• Korukonda, A.R. Personality, individual characteristics, and predisposition to computer anxiety: Some answers, questions, and points to ponder about. Information Sciences, 170(2005), 309–328.
   Google Scholar
• Korukonda, A.R. Differences that Do Matter: A dialectic analysis of individual characteristics and personality dimensions contributing to computer anxiety. Computers in Human Behavior, 23(2007), 1921–1942.
   Google Scholar
• Kozlowski, S.W.J.; and Bell, B.S. Work groups and teams in organizations. In W.C. Borman and D.R. Ilgen (eds.), Handbook of Psychology: Industrial and Organizational Psychology. New York: Wiley, 2003, pp. 333–375.
   Google Scholar
• LePine, J.A. Team adaptation and postchange performance: Effects of team composition in terms of members’ cognitive ability and personality. Journal of Applied Psychology, 88, 1 (2003), 27.
   PubMed Web of Science ®Google Scholar
• LePine, J.A.; Buckman, B.R.; Crawford, E.R.; and Methot, J.R. A review of research on personality in teams: Accounting for pathways spanning levels of theory and analysis. Human Resource Management Review, 21, 4 (2011), 311–330.
   Web of Science ®Google Scholar
• LePine, J.A.; Colquitt, J.A.; and Erez, A. Adaptability to changing task contexts: Effects of general cognitive ability, conscientiousness, and openness to experience. Personnel Psychology, 53, 3 (2000), 563–593.
   Web of Science ®Google Scholar
• LePine, J.A.; Hollenbeck, J.R.; Ilgen, D.R.; and Hedlund, J. Effects of individual differences on the performance of hierarchical decision-making teams: Much more than g. Journal of Applied Psychology, 82, 5 (1997), 803–811.
   Web of Science ®Google Scholar
• Levine, J.M.; and Moreland, R.L. Progress in small group research. Annual Review of Psychology, 41, 1 (1990), 585–634.
   Web of Science ®Google Scholar
• Liu, Y.; Wang, Z.H.; and Li, Z.G. Affective mediators of the influence of neuroticism and resilience on life satisfaction. Personality and Individual Differences, 52, 7 (2012), 833–838.
   Web of Science ®Google Scholar
• Lowry, P.B.; Zhang, J.; Wang, C.; and Siponen, M. Why do adults engage in cyberbullying on social media? An integration of online disinhibition and deindividuation effects with the social structure and social learning model. Information Systems Research, 27, 4 (2016), 962–986.
   Web of Science ®Google Scholar
• Luse, A.; McElroy, J.C.; Townsend, A.M.; and Demarie, S. Personality and cognitive style as predictors of preference for working in virtual teams. Computers in Human Behavior, 29, 4 (2013), 1825-1832.
   Google Scholar
• Matthews, G. Extraversion, emotion and performance: A cognitive-adaptive model. Advances in Psychology, 124(1997), 339–442.
   Google Scholar
• Mazur, A. A cross-species comparison of status in small established groups. American Sociological Review, 38, 5 (1973), 513–530.
   Google Scholar
• McCrae, R.R.; and Costa, P.T. Validation of the Five-Factor Model of personality across instruments and observers. Journal of Personality and Social Psychology, 52(1987), 81–90.
   PubMed Web of Science ®Google Scholar
• McKenna, K.Y.A.; and Bargh, J.A. Plan 9 from cyberspace: The implications of the internet for personality and social psychology. Personality and Social Psychology Review, 4, 1 (2000), 57–75.
   Web of Science ®Google Scholar
• Mejias, R.J.; Reining, B.A.; Dennis, A.R.; and MacKenzie, S.B. Observation versus perception in the conceptualization and measurement of participation equality in computer-mediated communication. Decision Sciences, 49, 4 (2018), 593–624.
   Web of Science ®Google Scholar
• Montoya, M.; Massey, A.P.; and Lockwood, N. 3D collaborative virtual environments: Linking collaborative behaviors and team performance. Decision Sciences, 42, 2 (2011), 451–476.
   Web of Science ®Google Scholar
• Mount, M.K.; Barrick, M.R.; and Stewart, G.L. Five-factor model of personality and performance in jobs involving interpersonal interactions. Human Performance, 11, 2–3 (1998), 145–165.
   Web of Science ®Google Scholar
• Müller, A.; Bellhäuser, H.; Konert, J., and Röpke, R. Effects of group formation on student satisfaction and performance: A field experiment. Small Group Research, 2021. https://doi.org/https://doi.org/10.1177/1046496420988592.
   Google Scholar
• Neter, J.; Wasserman, W.; and Kutner, M.H. Applied Linear Statistical Models. Homewood, IL: Irwin, 1985.
   Google Scholar
• Neuman, G.A.; Wagner, S.H.; and Christiansen, N.D. The relationship between work-team personality composition and the job performance of teams. Group & Organization Management, 24, 1 (1999), 28–45.
   Web of Science ®Google Scholar
• Nunamaker, J.F.; Dennis, A.R.; Valacich, J.S.; Vogel, D.; and George, J.F. Electronic meeting systems. Commun. ACM, 34, 7 (1991), 40–61.
   Web of Science ®Google Scholar
• Nunamaker Jr, J.F.; Briggs, R.O.; Mittleman, D.D.; Vogel, D.R.; and Balthazard, P.A. Lessons from a dozen years of group support systems research: A discussion of lab and field findings. Journal of Management Information Systems, 13, 3 (1996/1997), 163–207.
   Google Scholar
• Pervan, G.P. A review of research in group support systems: Leaders, approaches and directions. Decision Support Systems, 23, 2 (1998), 149–159.
   Web of Science ®Google Scholar
• Putnam, L.L. Small group work climates: Alag-sequential analysis of group interaction. Small Group Behavior, 14, 4 (1983), 465–494.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Rammstedt, B.; and John, O.P. Measuring personality in one minute or less: A 10 item short version of the Big Five Inventory in English and German. Journal of Research in Personality, 41 (2007), 203‐212.
   Web of Science ®Google Scholar
• Reilly, R.R.; Lynn, G.S.; and Aronson, Z.H. The role of personality in new product development team performance. Journal of Engineering and Technology Management, 19, 1 (2002), 39–58.
   Web of Science ®Google Scholar
• Resick, C.J.; Dickson, M.W.; Mitchelson, J.K.; Allison, L.K.; and Clark, M.A. Team composition, cognition, and effectiveness: Examining mental model similarity and accuracy. Group Dynamics: Theory, Research, and Practice, 14, 2 (2010), 174.
   Web of Science ®Google Scholar
• Riaz, M.N.; Riaz, M.A.; and Batool, N. Personality types as predictors of decision making styles. Journal of Behavioural Sciences, 22, 2 (2012), 99–114.
   Google Scholar
• Rice, L.; and Markey, P.M. The role of extraversion and neuroticism in influencing anxiety following computer-mediated interactions. Personality and Individual Differences, 46, 1 (2009), 35–39.
   Web of Science ®Google Scholar
• Robert, L.P.; Dennis, A.R.; and Ahuja, M.K. Differences are different: Examining the effects of communication media on the impacts of racial and gender diversity in decision-making teams. Information Systems Research, 29, 3 (2018), 525–545.
   Web of Science ®Google Scholar
• Schmidt, F.L.; and Hunter, J. General mental ability in the world of work: Occupational attainment and job performance. Journal of Personality and Social Psychology, 86, 1 (2004), 162–173.
   PubMed Web of Science ®Google Scholar
• Short, J.A.; Williams, E.; and Christie, B. The Social Psychology of Telecommunications. London: Wiley, 1976.
   Google Scholar
• Simon, S.J.; Grover, V.; Teng, J.T.C.; and Whitcomb, K. The relationship of information system training methods and cognitive ability to end-user satisfaction, comprehension, and skill transfer: A longitudinal field study. Information Systems Research, 7, 4 (1996), 466–490.
   Web of Science ®Google Scholar
• Spearman, C. “General intelligence,” objectively determined and measured. The American Journal of Psychology, 15, 2 (1904), 201–292.
   Google Scholar
• Stasser, G. Information salience and the discovery of hidden profiles by decision-making groups: A thought experiment. Organizational Behavior and Human Decision Processes, 52, 1 (1992), 156–181.
   Web of Science ®Google Scholar
• Steiner, I.D. Group Process and Productivity. New York, NY: Academic Press, 1972.
   Google Scholar
• Stewart, G.L. A meta-analytic review of relationships between team design features and team performance. Journal of Management, 32(2006), 29–54.
   Google Scholar
• Sy, T.; and Choi, J.N. Contagious leaders and followers: Exploring multi-stage mood contagion in a leader activation and member propagation (LAMP) model. Organizational Behavior and Human Decision Processes, 122, 2 (2013), 127–140.
   Web of Science ®Google Scholar
• Turel, O.; and Zhang, Y. Does virtual team composition matter? Trait and problem-solving configuration effects on team performance. Behaviour & Information Technology, 29, 4 (2010), 363–375.
   Web of Science ®Google Scholar
• Valacich, J.S.; Jung, J.H.; and Looney, C.A. The effects of individual cognitive ability and idea stimulation on idea-generation performance. Group Dynamics: Theory, Research, and Practice, 10, 1 (2006), 1–15.
   Web of Science ®Google Scholar
• van Osch, W.; and Bulgurcu, B. Idea generation in enterprise social media: Open versus closed groups and their network structures. Journal of Management Information Systems, 37, 4 (2020), 904–932.
   Web of Science ®Google Scholar
• Watson, D.; and Tellegen, A. Toward a consensual structure of mood. Psychological Bulletin, 98, 2 (1985), 219–235.
   PubMed Web of Science ®Google Scholar
• Watson, D.C. Procrastination and the five-factor model: A facet level analysis. Personality and Individual Differences, 30, 1 (2001), 149–158.
   Web of Science ®Google Scholar
• Weisberg, Y.J.; DeYoung, C.G.; and Hirsh, J.B. Gender differences in personality across the ten aspects of the Big Five. Frontiers in Psychology, 2 (2011), 178.
   PubMed Web of Science ®Google Scholar
• Wiesenfeld, B.M.; Raghuram, S.; and Garud, R. Organizational identification among virtual workers: the role of need for affiliation and perceived work-based social support. Journal of Management, 27, 2 (2001), 213–229.
   Web of Science ®Google Scholar
• Williams, W.M.; and Sternberg, R.J. Group intelligence: Why some groups are better than others. Intelligence, 12, 4 (1988), 351–377.
   Web of Science ®Google Scholar
• Woolley, A.W.; Chabris, C.F.; Pentland, A.; Hashmi, N.; and Malone, T.W. Evidence for a collective intelligence factor in the performance of human groups. Science, 330(2010), 686–688.
   PubMed Web of Science ®Google Scholar
• Zhang, M.; and Gable, G.G. Systematic framework for multilevel theorizing in information systems research. Information Systems Research, 28, 2 (2017), 203–224.
   Web of Science ®Google Scholar
• Zhou, L.; Burgoon, J.K.; Twitchell, D.P.; Qin, T.; and Nunamaker Jr, J.F. A comparison of classification methods for predicting deception in computer-mediated communication. Journal of Management Information Systems, 20, 4 (2004), 139–166.
   Web of Science ®Google Scholar
• Zigurs, I.; Poole, M.S.; and DeSanctis, G.L. A study of influence in computer-mediated group decision making. MIS Quarterly, 12, 4 (1988), 625–644.
   Web of Science ®Google Scholar