Phelps, C., Heidle, R., and Wadhwa, A. (2012) “Knowledge, networks, and knowledge networks: a review and research agenda”, Journal of Management, vol. 34:4, pp. 1115–1166.

The article develop a comprehensive framework that organizes the knowledge networks literature, which they use to review extant empirical research within and across multiple disciplines and levels of analysis. They identify points of coherence and conflict in theoretical arguments and empirical results within and across levels and identify emerging themes and promising areas for future research.

Ipe, M. (2003) “Knowledge sharing in organizations: a conceptual framework”, Human Resource Development Review, vol. 2:4, pp. 337–359.

This article examines knowledge sharing at the most basic level; namely, between individuals in organizations. Based on a review of existing literature in this area, this article presents a model that identifies factors that most significantly influence knowledge sharing at this level.

Mougin, J., Boujut, J-F., Pourroy, F., and Poussier, G. (2015) “Modelling knowledge transfer: a knowledge dynamics perspective”, Concurrent Engineering, vol. 23:4, pp. 308–319.

This article aims to investigate on improving the use of knowledge management systems by defining a framework for modelling knowledge transfer. It aims to observe, define and model more finely the knowledge dynamics that occur between knowledge workers and knowledge management systems.

Bock, G.-W., Zmud, R.W., Kim, Y.-G. and Lee, J-N. (2005) “Behavioral intention formation in knowledge sharing: examining the roles of extrinsic motivators, social-psychological forces, and organizational climate”, MIS Quarterly, vol. 29:1, pp. 87–111.

This article examines factors influencing individual behavior associated with knowledge sharing.

Rhodes, J., Hung, R., Lok, P., Lien, B., and Wu, C.M. (2008) “Factors influencing organizational knowledge transfer: implication for corporate performance”, Journal of Knowledge Management, vol. 12:3, pp. 84–100 (please note this content is behind a paywall).

This article explores organizational level factors influencing knowledge sharing.