Conclusions, Book Limitations and Future Directions

Abstract

Social capital in virtual communities offers a useful conceptual and practical tool to help us gain insights into the way people interact with each other, share information and knowledge among themselves and work together. This book has synthesized and brought together a massive volume of current and past work on social capital in geographical or place-based communities. The results of the analysis helped to extend the theory of social capital to virtual communities. It has also provided basis for e researchers, policymakers and systems designers to explore social issues that are likely to have an impact on information and knowledge sharing. The book provides useful information for people concerned with how social capital may be used to answer key questions about its fundamental components, how to study and model it within the contexts of virtual learning communities and distributed communities of practice. The main thrust of this book is the ability to identify the critical components of social capital in virtual communities and the use of modelling techniques—Bayesian Belief Network to analysis of interactions of the components of social capital. The components identified in the book serve as important proxies for examination of how social capital will operate in virtual communities. It is hoped that this fresh conceptualization of social capital in virtual communities prepares scholars to engage in useful and productive discussions on how to hone the potentials of this theory. This Chapter summarises the key issues presented in the book and outlines important future directions for the discussion of social capital in virtual communities.