International Journal of Human Capital in Urban Management
Quarterly Publication

Conceptualizing collective decision-making in organizations: A grounded theory approaches

https://doi.org/10.22034/IJHCUM.2024.01.05
Volume 9, Issue 1 - Serial Number 33
Winter 2024
Pages 61-74
International Journal of Human Capital in Urban Management

Document Type : ORIGINAL RESEARCH ARTICLE

Authors

S.M. Mirbagheri
A. Rafiei Atani
M. Parsanejad

Department of Management, Economics and Progress Engineering, Iran University of Science and Technology (IUST), Tehran. Iran

Abstract
BACKGROUND AND OBJECTIVES: Collective decision-making can increase the probability of reaching the correct decision. In Collective decision-making, information, experience, and knowledge are shared, and managers can use the wisdom of their employees with this method. In addition, in Collective decision-making, learning and ideation take place, and employees express their opinions freely and reach a common decision with the help of each other.
 
METHODS: In this study, the concepts related to Collective decision-making are explained using the research background. Then, by using the grounded theory method, the most important questions related to why and how Collective decision-making are answered. To get the opinions of organizational and academic experts in this field, a semi-structured interview was conducted with 54 people who were selected by purposeful sampling. After collecting the data through interviews, the components are coded in an open, axial, and selective.
 
FINDINGS: Through coding, 26 concepts were obtained which were later classified into 5 categories: causal conditions, contextual conditions, intervening conditions, central phenomenon, strategies, and consequences. The findings of this study provide a comprehensive model for the central phenomenon of Collective decision-making.
CONCLUSION: The results show that collection alliance, increased awareness and knowledge, growth, and development of members, increased wisdom and collective intelligence, increased members' commitment, increased quality of decision-making, and increased justice are the most important consequences of Collective decision-making. This study is important because it broadens the perspective of managers, and provides a deeper understanding of the nature of Collective decision-making in the organization.

Keywords

Collective decision-making (CDM)
Group decision
Collective behavior
Grounded theory
Decision Science
Subjects
Azizi, M.; azar, A.; Dehghan Nayeri, M.; (2020). Participatory decision making in the post COVID-19 period, Modern Res. Decis. Making, 5(2): 165-192 (38 pages). (In Persian)
Bhattacharya, K.; Vicsek, T., (2010). Collective Decision-making in cohesive flocks. New J. Phys. 12.
Bonabeau, E., (1996). Phase transitions in instigated collective decision-making - comment. Adapt. Behave., 5(1): 99-105 (7 pages).
Bosel, T.; Reinal, A.; Marshall, J.A.R., (2017). Collective decision-making. Current Opin. Behv. Sci., 16: 30-34 (5 pages).
Bui, T.X., (1987). A group decision support system for cooperative multiple criteria group decision making. Lect. Notes in Comput. Sci., Berlin Heidelberg, Germany, Springer-Verlag.
Charmaz, K., (2015). Grounded Theory: Methodology and Theory Construction. Int. Encyclo. Soc. Behv. Sci., 402-407 (6 pages).
Chen, X.; Wu, M.; Tan, C.; Zhang, T., (2021). A random intuitionistic fuzzy factor analysis model for complex multi-attribute large group decision-making in dynamic environments. Fuzzy Optim. Dec. Mak., 20: 101-127, (27 pages).
Corbin, J.; Strauss, A., (2014). Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage publications.
Da Silva Barreto, M.; Garcia-Vivar, C.; Marcon, S. S., (2018). Methodological quality of Grounded Theory research with families living with chronic illness. Int. J. Africa Nursing Sci., 8: 14-22 (9 pages).
De Oca, M.A.; Ferrante, E.; Scheidler, A.; Pinciroli, C.; Birattari, M.; Dorigo, M., (2011). Majority-rule opinion dynamics with differential latency: a mechanism for self-organized collective decision-making. swarm Intell., 5: 305-327 (23 pages).
Detrain, C.; Deneubourg, J.L., (2008). Collective decision-making and foraging patterns in Ants and Honeybees. Adv. Insect Physiol., 35: 123-173 (51 pages).
Dionne, S D.; Sayama, H.; Yammarino, F.J., (2019). Diversity and Social network structure in collective decision making: evolutionary perspectives with agent-based simulations. Complexity.
Farine, D.R.; Aplin, L.M.; Garroway, C.J.; Mann, R.P.; Sheldon, B.C., (2014). Collective decision making and social interaction rules in mixed-species flocks of songbirds. Anim. Behav., 95: 173-182 (20 pages).
 
Frank, E.T.; Linsenmair, K.E., (2017). Individual versus collective decision making: optimal foraging in the group-hunting termite specialist Megaponera analysis. Anim. Behav., 130: 27-35 (9 pages).
Hasegawa, E.; Mizumoto, N.; Kobayashi, K.; Dobata, S.; Yoshimura, J.; Watanabe, S.; Murakami, Y.; Matsuura, K., (2017). Nature of collective decision-making by simple yes/no decision units Eisuke Hasegawa. SCI. REP., 7: p.14436.
Horsevad, N.; Mateo, D.; Kooij, R.E.; Barrat, A.; Bouffanais, R., (2022). Transition from simple to complex contagion in collective decision-making. Nat. Commun., 13(1): p.1442.
khaluf, y.; simoens, p.; hamann, h., (2019). The neglected pieces of designing collective decision-making processes. Front. Rob. AI., 6: p.16
King, E.L.; Snowden, D.L., (2020). Serving on multiple fronts: A grounded theory model of complex decision-making in military mental health care. Soc. Sci. Medic., 250.
Kokorelias, K.M.; Ashcroft, R., (2020). How Dementia Caregivers Make Health Service Decisions: A Scoping Review and Implications for Grounded Theory Studies. Sage Open, 10(1).
Marks, P.; Gerrits, L.; Marx, J., (2019). How to use fitness landscape models for the analysis of collective decision-making: a case of theory-transfer and its limitations. Biolo. Philos., 34(1).
McHugh, K.A.; Yammarino, F.J.; Dionne, S.D.; Serban, A.; Sayama, H.; Chatterjee, S., (2016). Collective decision making, leadership; collective intelligence: Tests with agent-based simulations and a Field study. LEAD. Q., 27(2, SI): 218–241 (24 pages).
Neef, R.; Busscher, T.; Verweij, S.; Arts, J., (2022). How rule directions influence actors to achieve collective action: an analysis of Dutch collective infrastructure decision-making. Eur. Plan. Stud., 1-22 (22 pages).
Parrondo, J.M.R.; Dinis, L.; Garcia-Torano, E.; Sotillo, B., (2007). Collective decision-making and paradoxical games. EUR. Phy. J. Spec. TOP., 143: 39-46 (8 pages).
Prasetyo, J.; De Masi, G.; Ferrante, E., (2019). Collective decision-making in dynamic environments. Swa. Intel., 13(3–4, SI): 217-243 (27 pages).
Pratt, S.C.; Sumpter, D.J.T., (2006). A tunable algorithm for collective decision-making. PROCEED. National Acad. Sci. USA., 103(43): 15906-15910 (5 pages).
Prigozhin, A.I., (1991). Game methods of collective decision-making in management consulting. Soviet Edu., 33(12): 25-45, (21 pages).
Ramos, A.; Petit, O.; Longour, P.; Pasquaretta, C.; Sueur, C., (2015). Collective decision-making during group movements in European bison, Bison bonasus. Anim. Behav., 109: 149-160 (12 pages).
Rossi, F., (2014). Collective decision making: a great opportunity for constraint reasoning. Constraints., 19(2): 186-194 (9 pages).
Rowe, A.K.; Li, J.H.; Sun, L.; Sheeran, L.K.; Wagner, R.S.; Xia, D.P.; Uhey, D.A.; Chen, R., (2018). Collective Decision-making in Tibetan macaques: how followers affect the rules and speed of group movement. Anim. Behav., 146: 51-61 (11 pages).
Santos, C.D.; Przybyzin, S.; Wikelski, M.; Dechmann, D.K.N., (2016). Collective decision-making in homing pigeons: larger flocks take longer to decide but do not make better decisions. Plos One, 11(2).
Sasaki, T.; Colling, B.; Sonnenschein, A.; Boggess, M.M.; Pratt, S.C., (2015). Flexibility of Collective Decision-making during house hunting in Temnothorax ants. Behav. Ecol. Sociobio., 69(5): 707-714 (8 pages).
Sasaki, T.; Pratt, S.C., (2018). The Psychology of Superorganisms: Collective Decision-making by Insect Societies. In Berenbaum, MR (Ed.). Annu. Rev. Entomol., 63: 259-275 (17 pages).
Sasaki, T.; Stott, B.; Pratt, S.C., (2019). Rational time investment during collective decision-making in Temnothorax ants. Bio. Let., 15(10).
Seeley, T.D.; Visscher, P.K.; Schlegel, T.; Hogan, P.M.; Franks, N.R.; Marshall, J.A.R., (2012). Stop signals provide cross inhibition in collective decision-making by Honeybee Swarms. SCI., 335(6064): 108-111 (4 pages).
Šerek, J.; Juhová, D.S.; Lomičová, L., (2022). The legitimizing roles of respectful treatment and direct democracy in collective decision-making: A school-based study. J. Appli. Soci. Psych., 52(2): 95-105 (11 pages).
Slevin, D.P.; Boone, L.W.; Russo, E.M.; Allen, R.S., (1998). CONFIDE: A Collective decision-making procedure using confidence estimates of individual judgments. Group Dec. Nego., 7(2): 179-194 (16 pages).
Stroeymeyt, N.; Jordan, C.; Mayer, G.; Hovsepian, S.; Giurfa, M.; Franks, N.R., (2014). Seasonality in communication and collective decision-making in ants. Proceed. Royal Soci. B-Bio. Sci., 281(1780).
Stuttard, J.P.; Gottlieb, D.; Franks, N.R., (2016). Ants incommunicado: collective decision-making over new nest sites by ants with reduced communication. Behv. Ecolo. Sociobio., 70(1): 145-155 (11 pages).
Szopek, M.; Schmickl, T.; Thenius, R.; Radspieler, G.; Crailsheim, K., (2013). Dynamics of collective decision-making of honeybees in complex temperature fields. Plos One, 8(10).
Tajpour, M.; Razavi, S., (2023). The effect of team performance on the internationalization of digital startups: the mediating role of entrepreneurship. Int. J. Hum. Capital Urban Manage., 8(1): 17-30 (14 pages).
Veen, T., (2011). The political economy of collective decision-making: Conflicts and coalitions in the Council of the European Union. Springer Sci. Bus. Media.
Vigelius, M.; Meyer, B.; Pascoe, G., (2014). Multiscale modelling and analysis of collective decision-making in swarm robotics. Plos One, 9(11).
Ward, A.J.W.; Herbert-Read, J.E.; Sumpter, D.J.T.; Krause, J., (2011). Fast and accurate decisions through collective vigilance in fish shoals. Proc. Nat. Aca. Sci., 108(6): 2312-2315 (4 pages).
Watzek, J.; Hauber, M.E.; Jack, K.M.; Murrell, J.R.; Tecot, S.R.; Brosnan, S.F., (2021). Modelling collective decision-making: Insights into collective anti-predator behaviors from an agent-based approach. Beh. Proc., 193: p.104530.
Wessnitzer, J.; Melhuish, C., (2003). Collective decision-making and behavior transitions in distributed ad hoc wireless networks of mobile robots: Target-hunting. European Conference on Artificial Life, 2801: 893-902 (10 pages).
Wu, B.; Zhou, X.; Jin, Q.; Lin, F.; Leung, H., (2017). Analyzing social roles based on a hierarchical model and data mining for collective decision-making support. IEEE SYS. J., 11(1): 356-365 (10 pages).
Xu, Z.; Peng, H.; Yang, M., (2022). Reliability analysis of a collective decision-making scheme by cooperation of NPP operators and automatic diagnosis Sys. Prog. Nuclear Ener., 150: p.104289.
Yates, P., (2020). It’s just the abuse that needs to stop: professional framing of sibling relationships in a grounded theory study of social worker decision making following sibling sexual behavior. J. Child Sex. Abuse., 29(2): 222-245 (24 pages).
Zafeiris, A.; Koman, Z.; Mones, E.; Vicsek, T., (2017). Phenomenological theory of collective decision-making. Physica A-Statis. Mech. Its Applic., 479: 287-298 (12 pages).
Zellner, M.; Watkins, C.; Massey, D.; Westphal, L.; Brooks, J.; Ross, K., (2014). Advancing collective decision-making theory with integrated agent-based modeling and ethnographic data analysis: an example in ecological restoration. JASSS-J Artif. Soc. S., 17(4).
Zhang, W.X.; Hsu, Y.S., (2021). The interplay of students’ regulation learning and their collective decision-making performance in an SSI context. Int. J. Sci. Edu., 1-33, (34 pages).
Zimmermann, B.M.; Shaw, D.; Heinimann, K.; Knabben, L.; Elger, B.; Kone, I., (2020). How the “control-fate continuum” helps explain the genetic testing decision-making process: a grounded theory study. Eur. Hum. Genet.
  • Receive Date 02 June 2023
  • Revise Date 06 August 2023
  • Accept Date 26 September 2023

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