نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت تکنولوژی، دانشکده مدیریت، اقتصاد و مهندسی پیشرفت، دانشگاه علم و صنعت، تهران، ایران

2 عضو هیأت علمی، دانشکده مدیریت، اقتصاد و مهندسی پیشرفت، دانشگاه علم و صنعت، تهران، ایران

چکیده

مسأله اصلی در علم مدیریت، تصمیم‌گیری است و می‌توان موفقیت یا شکست هر مدیری را وابسته به تصمیماتش دانست. یکی از روش هایی که می‌تواند بسیار به صحت تصمیم مدیران کمک کند، تصمیم‌گیری جمعی است. در این مقاله سعی شده است مفاهیم مرتبط با تصمیم‌گیری جمعی توضیح داده شود و سپس با استفاده از روش داده بنیاد مهمترین سئوالات مرتبط با این روش پاسخ داده شوند. در این مقاله با ابزار مصاحبة نیمه ساختاریافته، از نظرات 36 نفر از خبرگان سازمانی و دانشگاهی استفاده شده است. پس از جمع آوری داده‌ها از طریق مصاحبه، مؤلفه‌ها به صورت باز، محوری و انتخابی کدگذاری شده‌اند. نتایج نشان می‌دهد که پیرامون پدیده محوری تصمیم‌گیری جمعی، 35 مفهوم وجود دارد که در قالب 6 دسته‌ی شرایط علّی، شرایط زمینه‌ای، شرایط مداخله‌گر، راهبردها و پیامدها قابل تقسیم‌بندی است. نوآوری مهم این مقاله ارائه مدل تصمیم‌گیری جمعی با استفاده از روش داده بنیاد است که می‌تواند اطلاعات مفیدی را بصورت خلاصه به مدیران منتقل کند و به آنها جهت استفاده از این روش، انگیزه دهد.

کلیدواژه‌ها

عنوان مقاله [English]

Identify the Factors Affecting Collective Decision-Making and its Consequences

نویسندگان [English]

  • Seyed Mohsen Mirbagheri 1
  • Ata Ollah Rafiei Atani 2

1 PhD student in Technology Management, Faculty of Management, Economics and Development Engineering, University of Science and Technology, Tehran, Iran

2 Faculty member, School of Management, Economics and Engineering Progress, University of Science and Technology,Tehran, Iran.

چکیده [English]

The main issue in management science is decision making, and the success or failure of any manager can be considered dependent on his decisions. One of the methods that can help a lot in the correctness of managers' decisions is collective decision-making. This article tries to explain the concepts related to collective decision making and then the most important questions related to this method are answered using the grounded theory method. In this article, using the semi-structured interview, the opinions of 36 organizational and academic experts have been used. After collecting data through interviews, the components were coded openly, axially, and selectively. The results show that there are 35 concepts around the central phenomenon of collective decision-making that can be divided into 6 categories: causal conditions, contextual conditions, intervening conditions, central phenomenon, strategies, and consequences. An important innovation of this paper is the presentation of a collective decision model using the grounded theory method that can convey useful information to managers in a concise manner, and motivate them to use this method.

کلیدواژه‌ها [English]

  • Decision-making
  • Collective decision-making
  • Management
  • Grounded theory
[1] M. Azizi,  adel azar, and  mahmoud Dehghan Nayeri, “Participatory decision making in the post COVID-19 period,” Mod. Res. Decis. Mak., vol. 5, no. 2, pp. 165–192, 2020, [Online]. Available: http://journal.saim.ir/article_40548.html.
[2]    H. Karami, “nvestigate the issues and problems of group decision making,” J. Manag. Account. Stud., vol. 6, pp. 324–337, 2017.
[3]    M. A. de Oca, E. Ferrante, A. Scheidler, C. Pinciroli, M. Birattari, and M. Dorigo, “Majority-rule opinion dynamics with differential latency: a mechanism for self-organized collective decision-making,” SWARM Intell., vol. 5, no. 3–4, 1, SI, pp. 305–327, Dec. 2011, doi: 10.1007/s11721-011-0062-z.
[4]    A. Zafeiris, Z. Koman, E. Mones, and T. Vicsek, “Phenomenological theory of collective decision-making,” Phys. A-STATISTICAL Mech. ITS Appl., vol. 479, pp. 287–298, Aug. 2017, doi: 10.1016/j.physa.2017.02.026.
[5]    K. A. McHugh, F. J. Yammarino, S. D. Dionne, A. Serban, H. Sayama, and S. Chatterjee, “Collective decision making, leadership, and collective intelligence: Tests with agent-based simulations and a Field study,” Leadersh. Q., vol. 27, no. 2, SI, pp. 218–241, Apr. 2016, doi: 10.1016/j.leaqua.2016.01.001.
[6]    L. Gerrits and P. Marks, Understanding collective decision making: a fitness landscape model approach. Edward Elgar Publishing, 2017.
[7]    S. M. Mirbagheri, A. ollah Rafiei Atani, and M. Parsanejad, “A Systematic Literature Review of the Collective Decision-Making,” Mod. Res. Decis. Mak., vol. 6, no. 3, pp. 239–258, 2021, [Online]. Available: http://journal.saim.ir/article_246682.html.
[8]    B. Wu, X. Zhou, Q. Jin, F. Lin, and H. Leung, “Analyzing Social Roles Based on a Hierarchical Model and Data Mining for Collective Decision-Making Support,” IEEE Syst. J., vol. 11, no. 1, pp. 356–365, Mar. 2017, doi: 10.1109/JSYST.2014.2386611.
[9]    J. C. Makinson, T. M. Schaerf, N. Wagner, B. P. Oldroyd, and M. Beekman, “Collective decision making in the red dwarf honeybee Apis florea: do the bees simply follow the flowers?,” Insectes Soc., vol. 64, no. 4, pp. 557–566, Nov. 2017, doi: 10.1007/s00040-017-0577-4.
[10]    T. Veen, The political economy of collective decision-making: Conflicts and coalitions in the Council of the European Union. Springer Science & Business Media, 2011.
[11]    R. Heradio, D. Fernandez-Amoros, C. Cerrada, and M. J. Cobo, “Group decision-making based on artificial intelligence: A bibliometric analysis,” Mathematics, vol. 8, no. 9, p. 1566, 2020.
[12]    A. I. Prigozhin, “Game Methods of Collective Decision Making in Management Consulting,” Sov. Educ., vol. 33, no. 12, pp. 25–45, Dec. 1991, doi: 10.2753/RES1060-9393331225.
[13]    S. S. Mirhosseini, A. Azar, A. Afsar, and S. Jahanyan, “Designing risk control model for enterprise resource planning (ERP) implementation through the Grounded Theory (GT) approach,” Manag. Res. Iran, vol. 23, no. 4, pp. 81–101, 2021, [Online]. Available: https://mri.modares.ac.ir/article_511.html.
[14]    E. L. King and D. L. Snowden, “Serving on multiple fronts: A grounded theory model of complex decision-making in military mental health care,” Soc. Sci. Med., vol. 250, Apr. 2020, doi: 10.1016/j.socscimed.2020.112865.
[15]    J. Corbin and A. Strauss, Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage publications, 2014.
[16]    M. da Silva Barreto, C. Garcia-Vivar, and S. S. Marcon, “Methodological quality of Grounded Theory research with families living with chronic illness,” Int. J. Africa Nurs. Sci., vol. 8, pp. 14–22, 2018.
[17]    B. M. Zimmermann, D. Shaw, K. Heinimann, L. Knabben, B. Elger, and I. Kone, “How the ‘control-fate continuum’ helps explain the genetic testing decision-making process: a grounded theory study,” Eur. J. Hum. Genet., 2020, doi: 10.1038/s41431-020-0602-3.
[18]    A. Kafashpoor, M. Ahanchian, and G. Malekzadeh, “Developing Managers’ Organizational Commitment Model of Iran Airports and Air Navigation Company to Improve Theot Performance Using Grounded Theory,” Manag. Res. Iran, vol. 22, no. 1, pp. 143–164, 2021, [Online]. Available: https://mri.modares.ac.ir/article_450.html.
[19]    K. Charmaz, “Grounded Theory: Methodology and Theory Construction,” Int. Encycl. Soc. Behav. Sci., pp. 402–407, 2015.
[20]    T. X. Bui and A. Co-oP, “A group decision support system for cooperative multiple criteria group decision making,” Lect. Notes Comput. Sci. Berlin Heidelberg, Ger. Springer-Verlag, 1987.
[21]    C. Sueur et al., “Collective decision-making and fission-fusion dynamics: a conceptual framework,” OIKOS, vol. 120, no. 11, pp. 1608–1617, Nov. 2011, doi: 10.1111/j.1600-0706.2011.19685.x.
[22]    S. D. Dionne, H. Sayama, and F. J. Yammarino, “Diversity and Social Network Structure in Collective Decision Making: Evolutionary Perspectives with Agent-Based Simulations,” Complexity, 2019, doi: 10.1155/2019/7591072.
[23]    M. Zellner, C. Watkins, D. Massey, L. Westphal, J. Brooks, and K. Ross, “Advancing Collective Decision-Making Theory with Integrated Agent-Based Modeling and Ethnographic Data Analysis: An Example in Ecological Restoration,” JASSS-THE J. Artif. Soc. Soc. Simul., vol. 17, no. 4, Oct. 2014, doi: 10.18564/jasss.2605.
[24]    T. Bosse, M. Hoogendoorn, M. C. A. Klein, J. Treur, C. N. van der Wal, and A. van Wissen, “Modelling collective decision making in groups and crowds: Integrating social contagion and interacting emotions, beliefs and intentions,” Auton. Agent. Multi. Agent. Syst., vol. 27, no. 1, pp. 52–84, Jul. 2013, doi: 10.1007/s10458-012-9201-1.
[25]    Y. Khaluf, P. Simoens, and H. Hamann, “The Neglected Pieces of Designing Collective Decision-Making Processes,” Front. Robot. AI, vol. 6, Mar. 2019, doi: 10.3389/frobt.2019.00016.
[26]    G. Carbone and I. Giannoccaro, “Model of human collective decision-making in complex environments,” Eur. Phys. J. B, vol. 88, no. 12, Dec. 2015, doi: 10.1140/epjb/e2015-60609-0.
[27]    Y. Xu, “Collective decision-making of voters with heterogeneous levels of rationality,” Public Choice, vol. 178, no. 1–2, pp. 267–287, Jan. 2019, doi: 10.1007/s11127-018-00627-7.
[28]    A. Van Deemen and A. Rusinowska, Collective decision making: Views from social choice and game theory, vol. 43. Springer Science & Business Media, 2010.
[29]    F. Rossi, “Collective decision making: a great opportunity for constraint reasoning,” CONSTRAINTS, vol. 19, no. 2, pp. 186–194, Apr. 2014, doi: 10.1007/s10601-013-9153-3.
[30]    V. Cho and D. Chan, “How social influence through information adoption from online review sites affects collective decision making,” Enterp. Inf. Syst., 2019, doi: 10.1080/17517575.2019.1651398.