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

Author:   Preethi Kesavan
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2021
ISBN:  

9789811597954


Pages:   308
Publication Date:   21 November 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $284.60 Quantity:  
Add to Cart

Share |

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


Add your own review!

Overview

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. 

Full Product Details

Author:   Preethi Kesavan
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Weight:   0.504kg
ISBN:  

9789811597954


ISBN 10:   9811597952
Pages:   308
Publication Date:   21 November 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Reviews

Author Information

Preethi Kesavan has extensive teaching and learning experience, educational leadership, and executive oversight of strengthening a high-quality student experience, enriching student global mobility, and enhancing academic quality and professional staff effectiveness. She has extensive experience in the Singapore Private Education systems and local public universities, online/mobile/blended learning and professional learning initiatives, quality assurance of curriculum, assessment, and people development and organizational policy development. She is a contemporary architect of flexi-learning, blended learning, e-learning, and education management. She has also designed and implemented IT solutions for the hospitality industry and private schools. She enjoys teaching various programming languages, database and enterprise solutions, and a strong interest in teaching and research activities in spreadsheet modelling and analytics.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

Aorrng

Shopping Cart
Your cart is empty
Shopping cart
Mailing List