书目名称 | Enablers of Organisational Learning, Knowledge Management, and Innovation | 副标题 | Principles, Process, | 编辑 | Preethi Kesavan | 视频video | | 概述 | Provides insights on the application of text mining, text analytics process, and adopting qualitative methods in investigating the factors that influence learning, knowledge management, and innovation | 图书封面 |  | 描述 | 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 obta | 出版日期 | Book 2021 | 关键词 | Knowledge Management and Organizational Learning; Text Analytics for Knowledge Management; Knowledge M | 版次 | 1 | doi | https://doi.org/10.1007/978-981-15-9793-0 | isbn_softcover | 978-981-15-9795-4 | isbn_ebook | 978-981-15-9793-0 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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