Abstract
With the increasing presence of online groups in so many sectors of our lives, it becomes more and more important to understand what influences the performance of these collectives. However, historically, research to measure and thereby improve performance for online groups has produced disparate conclusions. In this chapter, we propose enhancing the performance by cultivating collective intelligence in online groups—a new way of conceptualizing and measuring collective performance. We describe recent research on collective intelligence, and develop a framework for thinking about how processes critical to collective intelligence can be enhanced in online groups through the use of collaboration tools. In conclusion, we encourage researchers to explore and fine-tune these tools as a means of continuing to enhance the collective intelligence of online groups.
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References
Andriopoulos C, Lewis MW (2009) Exploitation-exploration tensions and organizational ambidexterity: managing paradoxes of innovation. Organ Sci 20(4):696–717. doi:10.1287/orsc.1080.0406
Baron-Cohen S, Wheelwright S, Hill J, Raste Y, Plumb I (2001) The “reading the mind in the eyes” test revised version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism. J Child Psychol Psychiatry Allied Discip 42(02):241–251
Bloom H (2000) Global brain: the evolution of mass mind from the big bang to the 21st century. Wiley, New York
Bonabeau E, Dorigo M, Theraulaz G (1999) Swarm intelligence: from natural to artificial systems. Oxford University Press, New York
Brown VR, Paulus PB (2002) Making group brainstorming more effective: recommendations from an associative memory perspective. Curr Dir Psychol Sci 11(6):208
Burke K, Aytes K (1998) A longitudinal analysis of the effects of media richness on cohesion development and process satisfaction in computer-supported workgroups. In: System sciences, proceedings of the 31st Hawaii international conference on, vol 1. pp 135–144. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=653093
Burke K, Chidambaram L (1996) Do mediated contexts differ in information richness? A comparison of collocated and dispersed meetings. In: System sciences, proceedings of the 29th Hawaii international conference on, vol 3. pp 92–101. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=493180
Carmel E, Agarwal R (2001) Tactical approaches for alleviating distance in global software development. Softw IEEE 18(2):22–29
Chabris CF (2007) Cognitive and neurobiological mechanisms of the law of general intelligence. In: Roberts MJ (ed) Psychology Press, Hove, pp 449–491
De Dreu CK, West MA (2001) Minority dissent and team innovation: the importance of participation in decision making. J Appl Psychol 86(6):1191–1201
Deary IJ (2000) Looking down on human intelligence: from psychometrics to the brain. Oxford University Press, New York
Delbecq AL (1974) The effectiveness of nominal, Delphi, and interacting group decision making processes. Acad Manage J 17(4):605–621
Elfenbein HA (2006) Team Emotional Intelligence: What it can mean and how it can impact performance. In V. Druskat, F. Sala, & G. Mount (Eds.), The link between emotional intelligence and effective performance (pp. 165–184). Mahwah, NJ: Lawrence Erlbaum
Elfenbein HA, Polzer JT, Ambady N (2007) Team emotion recognition accuracy and team performance. Res Emot Organ 3:87–119
Fiore SM (2008) Interdisciplinarity as teamwork how the science of teams can inform team science. Small Group Res 39(3):251–277
Galegher J, Kraut RE (1994) Computer-mediated communication for intellectual teamwork: an experiment in group writing. Inf Syst Res 5(2):110–138
Goodhue DL, Thompson RL (1995) Task-technology fit and individual performance. MIS Q. 19, 2 (June 1995), 213–236
Grassé P-P (1959) La reconstruction du nid et les coordinations interindividuelles chezBellicositermes natalensis etCubitermes sp. la théorie de la stigmergie: Essai d’interprétation du comportement des termites constructeurs. Insectes Sociaux 6(1):41–80
Hertel G, Geister S, Konradt U (2005) Managing virtual teams: a review of current empirical research. Hum Resour Manage Rev 15:69–95
Holland O, Melhuish C (1999) Stigmergy, self-organization, and sorting in collective robotics. Artif Life 5(2):173–202
Ilgen DR, Hollenbeck JR, Johnson M, Jundt D (2005) Teams in organizations: from input-process-output models to IMOI models. Annu Rev Psychol 56(1):517–543
Karau SJ, Williams KD (1993) Social loafing: a meta-analytic review and theoretical integration. J Personal Soc Psychol 65:681–681
Karsai I, Balazsi G (2002) Organization of work via a natural substance: regulation of nest construction in social wasps. J Theor Biol 218(4):549–565
Katz R (1984) As research teams grow older. Res Manage 7(1):29–34
Kayworth TR, Leidner DE (2001) Leadership effectiveness in global virtual teams. J Manage Inf Syst 18(3):7–40
Kilduff M, Angelmar R, Mehra A (2000) Top management-team diversity and firm performance: examining the role of cognitions. Organ Sci 11(1):21
Larson JR (2009) In search of synergy in small group performance. Psychology Press, New York
Majchrzak A, Rice RE, Malhotra A, King N, Ba S (2000) Technology adaptation: the case of a computer-supported inter-organizational virtual team. MIS Q 24(4):569–600
Malhotra A, Majchrzak A, Rosen B (2007) Leading virtual teams. Acad Manage Perspect 21(1):60–70
March JG (1991) Exploration and exploitation in organizational learning. Organ Sci 2(1):71–87
Marsh L, Onof C (2008) Stigmergic epistemology, stigmergic cognition. Cogn Syst Res 9(1):136–149
Martins LL, Gilson LL, Maynard MT (2004) Virtual teams: what do we know and where do we go from here? J Manage 30(6):805–836
McDonough EF, Kahnb KB, Barczaka G (2001) An investigation of the use of global, virtual, and colocated new product development teams. J Prod Innov Manage 18(2):110–120
McGrath JE (1984) Groups: interaction and performance. Prentice-Hall, Englewood Cliffs
O’Reilly CA, Tushman ML (2008) Ambidexterity as a dynamic capability: resolving the innovator’s dilemma. Res Organ Behav 28(1):185–206
Parunak HVD (2006) A survey of environments and mechanisms for human-human stigmergy. In: Environments for multi-agent systems II. Springer, pp 163–186. Retrieved from http://link.springer.com/chapter/10.1007/11678809_10
Paulus PB, Kohn NW, Arditti LE, Korde RM (2013) Understanding the group size effect in electronic brainstorming. Small Group Res 44(3):332–352. doi:10.1177/1046496413479674
Purvanova RK, Bono JE (2009) Transformational leadership in context: face-to-face and virtual teams. Leadersh Q 20(3):343–357
Raisch S, Birkinshaw J, Probst G, Tushman ML (2009) Organizational ambidexterity: balancing exploitation and exploration for sustained performance. Organ Sci 20(4):685–695. doi:10.1287/orsc.1090.0428
Riemer K, Richter A (2010) Tweet inside: microblogging in a corporate context. In: Proceedings of the 23rd Bled eConference, pp 1–17, Bled, Slovenia
Riemer K, Richter A, Bohringer M (2010) Enterprise microblogging. Bus Inf Syst Eng 2(6):391–394
Rosenkopf L, McGrath P (2011) Advancing the conceptualization and operationalization of novelty in organizational research. Organization Science 22(5):1297–1311
Sharda R, Barr SH, McDonnell JC (1988) Decision support system effectiveness: a review and an empirical test. Manage Sci 34(2):139–159
Siegel J, Dubrovsky V, Kiesler S, McGuire TW (1986) Group processes in computer-mediated communication. Organ Behav Hum Decis Process 37(2):157–187. doi:10.1016/0749-5978(86)90050-6
Spearman C (1904) General intelligence, objectively determined and measured. Am J Psychol 15(2):201–293
Steiner I (1972) Group process and productivity. Academic, New York
The Economist Intelligence Unit (2009) Managing virtual teams: taking a more strategic approach. http://graphics.eiu.com/upload/eb/NEC_Managing_virtual_teams_WEB.pdf on October 24, 2013
Thompson L (2003) Improving the creativity of organizational work groups. Acad Manage Exec 17(1):96–109
Tziner A, Eden D (1985) Effects of crew composition on crew performance: does the whole equal the sum of its parts? J Appl Psychol 70(1):85–93
Warkentin M, Sayeed L, Hightower R (1997) Virtual teams versus face-to-face teams: an exploratory study of a web-based conference system. Decis Sci 28(4):975–996
Wiersema MF (1992) Top management team demography and corporate strategic change. Acad Manage J 35(1):91–121
Wolff SB, Pescosolido AT, Druskat VU (2002) Emotional intelligence as the basis of leadership emergence in self-managing teams. Leadersh Q 13(5):505–522
Woolley AW, Fuchs E (2011) Collective intelligence in the organization of science. Organ Sci 22(5):1359–1367
Woolley AW, Chabris CF, Pentland A, Hashmi N, Malone TW (2010) Evidence for a collective intelligence factor in the performance of human groups. Science 330:686–688
Zhang J, Qu Y, Cody J, Wu Y (2010) A case study of micro-blogging in the enterprise: use, value, and related issues. In: Proceedings of the 28th international conference on human factors in computing systems, pp 123–132. Retrieved from http://dl.acm.org/citation.cfm?id=1753346
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Woolley, A.W., Hashmi, N. (2013). Cultivating Collective Intelligence in Online Groups. In: Michelucci, P. (eds) Handbook of Human Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8806-4_56
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DOI: https://doi.org/10.1007/978-1-4614-8806-4_56
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