Study On Coordinating Work Mechanism Of Distributed Organizations Based On Psycho-social Factors

With advance in information and communication technology, more and more enter-prise structures task on the distributed mode, the increasing organizations adopt the geo-graphically distributed operation structure. There are the spatial distance, temporal dis-tance between members. For distributed organizations, if each location can coordinately work together, dispersed work has no difference from the traditional organizational model. However, because of the temporal, spatial and functional dispersion in distributed organi-zations, which constrains the advance in research.This research studied the coordinating mechanism of distributed organizations through adopting the integrated method in multi-agent simulation and network analysis. We mainly do our research based on the transactive memory system, evolution game, the-ory of planned behavior, interpersonal communicating network, self-efficacy, collective efficacy.For exploring the coordinated mechanism of geographically distributed organization, we built the computed model based-on multi-agent system from the perspective of trans-active memory system and meta-networks. We described individuals, tasks and expertise and complex connections between them and the coordinated structures of between sites with the network structure. We derive this computed model based on the task execution, learning, forgetting and coordination rules in transactive memory system. We implemented this simulation model with application of AnyLogic platform and JAVA language, and simulation experiments show that:members’distribution between sites, the transactive memory system and members’complete knowledge have different effect on the comple-tion quality and time of tasks.We built the computational model of operation in coordination of distributed organi-zations based on the N-persons stag hunt game and the theory of planned behavior mainly in paying attention to the individual psychological and social attributes and considering the task interdependences and individuals’ communication and learning characters. We implement this simulation system with JAVA programme by virtue of AnyLogic platform. Simulation results show that:self-efficacy significantly affects the coordination evolution, rather than vice versa; organizational size significantly influences the organizational coor-dinating evolution and diffusion; the difficulty of tasks has opposite effect. The communication among locations is pivotal to carry out the coordination, there-fore we focus on the design of communication structures of distributed organizations. Each location not only has its own internal interaction network, but also has the coordi-nating network among other locations. Thus, these networks form the model of overall communicating network structure of distributed organizations. From the network structure perspective, distributed organizations have the unique pattern. We use the simulation method to design the optimal personal structure that can give the high learning perfor-mance. We model the interpersonal communication network structures of distributed or-ganizations by virtue of Watts’ caveman model, then we calculate organizational learning based on NK model and organizational learning. We use a series of simulations to examine the performance of different network structures. We find that the semi-isolated structures is an optimal model and can give the highest performance to organization. Meanwhile we verified the robustness of this structure in different sizes, learning rates, environmental turbulence and turn overs through a series of simulations.Because of the temporal, spatial and functional dimensions in distributed organiza-tions, members’ cognitive process plays an important role in executing tasks. Coordination is necessary for successfully finishing tasks in distributed organizations. Meanwhile, in-terdependence 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 effi-cacy;(5) imbalance in the size of sub-units decreases the collective efficacy.