Aim: This study presents an ecological model for knowledge management based on the integration and development of three management approaches: digital business ecosystem, value creation ecology and social, mobile, analytics, cloud and Internet of things (IOT) ecosystems. Design / Methodology / Approach: A correlation was firstly established between the digital business ecosystem and the social, mobile, analytics, cloud, and IOT ecosystem with value-creating ecology. Once this correlation has been confirmed, then the relationship between them is measured. This research used meta-analysis methodology. Findings: An ecological model for knowledge management has been derived from the integration of three management approaches. Furthermore, value-creating ecology promotes interaction between the digital business ecosystem and social, mobile, analytics, cloud and IOT ecosystems. Practical Outcomes: Knowledge Ecology Management (KEM) is the process of creating, sharing, applying and managing knowledge ecology. Knowledge ecology is the framework of an integration of knowledge of people operating in various industries. Social implications: Knowledge Ecology Management is primarily focused on social networks. Utilizing the knowledge of those operating in these social networks with diverse fields of expertise can contribute to the growth, development and diversity of knowledge. Originality / Value: Knowledge Ecology Management creates the value mediated by interaction of ecosystems via value-creating ecology.
