ISSN 1671-3710
CN 11-4766/R

›› 2012, Vol. 20 ›› Issue (5): 641-650.

• 研究构想 • Previous Articles     Next Articles

Shared Mental Models of Collective Ball Sports Team: From Network and Evolution Perspective

YANG Jie;DENG Wei-Quan;CHENG Hao   

  1. (1School of Business Administration, Jiangxi University of Finance and Economics, Nanchang 330013, China)
    (2Research Center for Innovation and Strategic Human Resource Management, Jiangxi University of Finance and Economics, Nanchang 330013, China)
    (3School of Physical Education, East China Jiaotong University, Nanchang 330013, China)
    (4School of Basic Science, East China Jiaotong University, Nanchang 330013, China)
  • Received:2011-11-01 Revised:1900-01-01 Online:2012-05-15 Published:2012-05-15
  • Contact: YANG Jie

Abstract: As team is important in today’s organizations and collective sports, it is the focus of multiple academic disciplines. Shared Mental Models (SMM)are team members’ shared, organized understanding and mental representation of knowledge or beliefs about key elements of the team’s relevant environment. Recently, the competitive strength of China football, basketball, volleyball (three balls for short) has been declining dramatically. All of them became the subject of immense criticism in the media and a national embarrassment. As a result, reviving three balls is a must-do thing for China to become a strong sport nation. Based on network and evolution perspective, this study will investigate China three balls professional teams in an attempt to improve the training and competition level of three balls through analyzing the evolution process and mechanism of team shared mental models (SMMs). Firstly, the researchers will explore the similarities and differences among three balls’ shared mental models by in-depth experts interview and the scoring video analysis of benchmarking teams, which will provide materials and parameters for further studies. Secondly, a multiple case study and longitudinal design will be adopted to study the evolution processes to cross validate and replicate the principles and mechanism of SMMs. Thirdly, the effects of team members’ social network type, structure, and evolution on SMMs and the team effectiveness across three balls will be empirically examined. Last but not least, software package Repast will be taken to monitor the formation and evolution process of SMMs in order to provide references for prediction and real-time intervention.

Key words: team, shared mental models, network, evolution, collective ball sports