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008			201120s2021 si | o |||| 0|eng d
020			_a9789811597930
024	7		_a10.1007/978-981-15-9793-0 _2doi
040			_aES-VaU _bspa _cES-VaU _dES-VaU
050		4	_aHD30.2 _b2021 EB
100	1		_aKesavan, Preethi. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aEnablers of Organisational Learning, Knowledge Management, and Innovation : _bPrinciples, Process, and Practice of Qualitative Data _cby Preethi Kesavan
250			_a1st ed. 2021.
264		1	_aSingapore _c2021 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aChapter 1. Introduction -- Chapter 2. Literature Review -- Chapter 3. Theory and Methodology -- Chapter 4. Methods and Introduction to Findings -- Chapter 5. Findings: Social Innovation, Architectural Innovation, and Cultural Innovation -- Chapter 6. Organizational Learning, Knowledge Management, and Innovation Integrated -- Chapter 7. Conclusion.
520			_aThis 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. .
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-9793-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Business_2021
999			_c239039 _d239039