Enablers of Organisational Learning, Knowledge Management, and Innovation: Principles, Process, and Practice of Qualitative Data

This book establishes  constructivist, interpretivist, and linguistic approaches based on  conventions about the nature of qualitative and text data, the author’s  influence on text interpretation, and the validity checks used to  justify text interpretations. Vast quantities of text and qualitative  data in organizations often go unexplored. Text analytics outlined in  this book allow readers to understand the process of converting  unstructured text data into meaningful data for analysis in order to  measure employee opinions, feedback, and reviews through sentiment  analysis to support fact-based decision making. The methods involve  using NVivo and RapidMiner software to perform lexical analysis,  categorization, clustering, pattern recognition, tagging, annotation,  memo creation, information extraction, association analysis, and  visualization. 

The  methodological approach in the book uses innovation theory as a  sensitizing concept to lay the foundation for the analysis of research  data, suggesting approaches for empirical exploration of organizational  learning, knowledge management, and innovation practices amongst  geographically dispersed individuals and team members. Based on data  obtained from a private educational organization that has offices  dispersed across Asia through focus group discussions and interviews on  these topics, the author highlights the need for integrating  organizational learning, knowledge management, and innovation to improve  organizational performance, exploring perspectives on collective  relationships and networks, organizational characteristics and  structures, and tacit and overt values which influence such innovation  initiatives. In the process, the author puts forward a new theory which  is built on three themes: relationship and networks, knowledge sharing  mechanisms, and the role of social cognitive schema that facilitate  emergent learning, knowledge management, and innovation.