Modeling and simulation of the collective efficacy of distributed organizations: toward an interdependent network

Because of the temporal, spatial, and functional dimensions in distributed organizations, members’ cognitive processes play an important role in executing tasks. Coordination is necessary for successfully finishing tasks in distributed organizations. Meanwhile, interdependence between sub-units is an intrinsic property of distributed organizations. We put forward an interdependent network model and applied simulation experiments to study the collective efficacy evolution of distributed organizations based on the theory of planned behavior. Experiment results show several insights for distributed organizations operation: (1) organizational size has an impact on collective efficacy evolution, and a size that is too small or too large is not helpful; (2) task payoff and task cost affect collective efficacy evolution only slightly, while task difficulty has considerable effect on collective efficacy evolution and distribution; (3) coordinating willingness affects interdependent network structure of distributed organizations, and further influences collective efficacy evolution and distribution; (4) a slightly interdependent weight difference between sub-units can benefit collective efficacy evolution and enhance members’ collective efficacy; (5) imbalance in the size of sub-units decreases the collective efficacy.

[1]  Harry Eugene Stanley,et al.  Catastrophic cascade of failures in interdependent networks , 2009, Nature.

[2]  G. Szabó,et al.  Evolutionary prisoner's dilemma game on a square lattice , 1997, cond-mat/9710096.

[3]  D. Sandy Staples,et al.  Comparing Virtual Teams to Traditional Teams: An Identification of New Research Opportunities , 2006 .

[4]  Yuqing Ren,et al.  Transactive Memory Systems 1985–2010: An Integrative Framework of Key Dimensions, Antecedents, and Consequences , 2011 .

[5]  Gerard H. Seijts,et al.  Effect of Self- and Group Efficacy on Group Performance in a Mixed-Motive Situation , 2000 .

[6]  Paolo Renna,et al.  Coordination policies to support decision making in distributed production planning , 2003 .

[7]  Kevin Crowston,et al.  What is coordination theory and how can it help design cooperative work systems? , 1990, CSCW '90.

[8]  Nigel Gilbert,et al.  Agent-based social simulation: dealing with complexity , 2005 .

[9]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[10]  Tal Katz-Navon,et al.  When Collective- and Self-Efficacy Affect Team Performance , 2005 .

[11]  G. Szabó,et al.  Evolutionary games on graphs , 2006, cond-mat/0607344.

[12]  Jennifer Marlow,et al.  Designing interventions to reduce psychological distance in globally distributed teams , 2012, CSCW.

[13]  Daniela E. Damian,et al.  Global Software Development and Delay: Does Distance Still Matter? , 2008, 2008 IEEE International Conference on Global Software Engineering.

[14]  Wanda J. Orlikowski,et al.  Knowing in practice: Enacting a collective capability in distributed organizing , 2002, STUDI ORGANIZZATIVI.

[15]  Y. Long,et al.  CORRIGENDUM: Ubiquinone-quantum dot bioconjugates for in vitro and intracellular complex I sensing , 2013, Scientific Reports.

[16]  A. V. D. Ven,et al.  Alternative forms of fit in contingency theory. , 1985 .

[17]  Marilyn E. Gist,et al.  Self-Efficacy: A Theoretical Analysis of Its Determinants and Malleability , 1992 .

[18]  J. Alberto Espinosa,et al.  Team Boundary Issues Across Multiple Global Firms , 2003, J. Manag. Inf. Syst..

[19]  Jonathon N. Cummings,et al.  The Spatial, Temporal, and Configurational Characteristics of Geographic Dispersion in Teams , 2007, MIS Q..

[20]  B. McKelvey Organizations: A Quantum View.Danny Miller , Peter H. Friesen , 1986 .

[21]  Attila Szolnoki,et al.  Evolution of public cooperation on interdependent networks: The impact of biased utility functions , 2012, ArXiv.

[22]  Ann Majchrzak,et al.  Radical Innovation Without Collocation: A Case Study at Boeing-Rocketdyne , 2001, MIS Q..

[23]  Mark Mortensen,et al.  Go (Con)Figure: Subgroups, Imbalance, and Isolates in Geographically Dispersed Teams , 2009, Organ. Sci..

[24]  Eduardo Salas,et al.  Distributed coordination space: Toward a theory of distributed team process and performance , 2003 .

[25]  Michelle A. Marks,et al.  A test of the impact of collective efficacy in routine and novel performance environments , 1999 .

[26]  Minghao Wang,et al.  Agent-based modeling and simulation of community collective efficacy , 2012, Computational and Mathematical Organization Theory.

[27]  Whyte,et al.  Recasting Janis's Groupthink Model: The Key Role of Collective Efficacy in Decision Fiascoes. , 1998, Organizational behavior and human decision processes.

[28]  N. Sadat Shami,et al.  In-group/out-group effects in distributed teams: an experimental simulation , 2004, CSCW.

[29]  Joshua M. Epstein,et al.  Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity) , 2007 .

[30]  Jonathon N. Cummings Work Groups, Structural Diversity, and Knowledge Sharing in a Global Organization , 2004, Manag. Sci..

[31]  Kathleen M. Carley Validating Computational Models , 1996 .

[32]  John E. Sawyer,et al.  Virtualness and Knowledge in Teams: Managing the Love Triangle of Organizations, Individuals, and Information Technology , 2003, MIS Q..

[33]  S. Havlin,et al.  Interdependent networks: reducing the coupling strength leads to a change from a first to second order percolation transition. , 2010, Physical review letters.

[34]  M. Batty Generative social science: Studies in agent-based computational modeling , 2008 .

[35]  Dorien J. DeTombe,et al.  VALIDATION OF SIMULATION MODELS , 1999 .

[36]  P. Ackerman,et al.  Psychomotor abilities via touch‐panel testing: Measurement innovations, construct, and criterion validity , 1999 .

[37]  John Child,et al.  Organizations Unfettered: Organizational Form in an Information-Intensive Economy , 2001 .

[38]  Tsedal B. Neeley,et al.  Reflected Knowledge and Trust in Global Collaboration , 2012, Manag. Sci..

[39]  Scott E. Page,et al.  Agent-Based Models , 2014, Encyclopedia of GIS.

[40]  Kevin Crowston,et al.  The interdisciplinary study of coordination , 1994, CSUR.

[41]  I. Ajzen The theory of planned behavior , 1991 .

[42]  J. Herbsleb,et al.  Global software development , 2001 .

[43]  Nicolaj Siggelkow Firms as Systems of Interdependent Choices , 2011 .

[44]  Attila Szolnoki,et al.  Interdependent network reciprocity in evolutionary games , 2013, Scientific Reports.

[45]  Jean Wilson,et al.  Perceived Proximity in Virtual Work: Explaining the Paradox of Far-but-Close , 2008 .

[46]  D. Sandy Staples,et al.  A Self-Efficacy Theory Explanation for the Management of Remote Workers in Virtual Organizations , 1999, J. Comput. Mediat. Commun..

[47]  Mark Mortensen,et al.  Extending Construal-Level Theory to Distributed Groups: Understanding the Effects of Virtuality , 2013, Organ. Sci..

[48]  Ilan Oshri,et al.  Social ties, knowledge sharing and successful collaboration in globally distributed system development projects , 2005, Eur. J. Inf. Syst..

[49]  Attila Szolnoki,et al.  Evolutionary dynamics of group interactions on structured populations: a review , 2013, Journal of The Royal Society Interface.

[50]  Francisco C. Santos,et al.  Evolutionary dynamics of collective action , 2011, ECAL.

[51]  W. Widmeyer,et al.  Relationship between collective efficacy and team cohesion: Conceptual and measurement issues. , 1999 .

[52]  Attila Szolnoki,et al.  Topology-independent impact of noise on cooperation in spatial public goods games. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[53]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[54]  Jan W. Rivkin,et al.  Balancing Search and Stability: Interdependencies Among Elements of Organizational Design , 2003, Manag. Sci..

[55]  David Lazer,et al.  The Network Structure of Exploration and Exploitation , 2007 .

[56]  Kevin Crowston,et al.  Discontinuities and continuities: a new way to understand virtual work , 2002, Inf. Technol. People.

[57]  Danny Miller,et al.  Structural Change and Performance: Quantum Versus Piecemeal-Incremental Approaches , 1982 .

[58]  Uta Berger,et al.  Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology , 2005, Science.

[59]  I. Ajzen Residual Effects of Past on Later Behavior: Habituation and Reasoned Action Perspectives , 2002 .

[60]  James D. Herbsleb,et al.  Team Knowledge and Coordination in Geographically Distributed Software Development , 2007, J. Manag. Inf. Syst..

[61]  L. Godwin,et al.  Trends and challenges. , 1960, Hospital progress.

[62]  N. Gilbert,et al.  Artificial Societies: The Computer Simulation of Social Life , 1995 .

[63]  J. Alberto Espinosa,et al.  Time Separation, Coordination, and Performance in Technical Teams , 2012, IEEE Transactions on Engineering Management.

[64]  S. Raudenbush,et al.  Neighborhoods and violent crime: a multilevel study of collective efficacy. , 1997, Science.

[65]  Leslie P. Willcocks,et al.  Global software development: Exploring socialization and face-to-face meetings in distributed strategic projects , 2007, J. Strateg. Inf. Syst..

[66]  Dong Xu,et al.  Simulation-based workforce assignment considering position in a social network , 2010, WSC 2010.

[67]  Yu Zhang,et al.  How behaviors spread in dynamic social networks , 2011, Computational and Mathematical Organization Theory.

[68]  Edward G. Anderson,et al.  A Dynamic Model of Individual and Collective Learning Amid Disruption , 2014, Organ. Sci..

[69]  Bob J. Wielinga,et al.  Organizational building blocks for design of distributed intelligent system , 2004, Int. J. Hum. Comput. Stud..