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Social science methodologies for management researchfrom philosophy to practice in the AI era /

Record Type:	Electronic resources : Monographic component part
Title/Author:	Social science methodologies for management researchby Vissanu Zumitzavan.
Reminder of title:	from philosophy to practice in the AI era /
Author:	Zumitzavan, Vissanu.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xxii, 321 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	ManagementResearch.
Online resource:	https://doi.org/10.1007/978-981-95-4318-2
ISBN:	9789819543182$q(electronic bk.)

Social science methodologies for management researchfrom philosophy to practice in the AI era /
Zumitzavan, Vissanu.

Social science methodologies for management researchfrom philosophy to practice in the AI era /[electronic resource] :by Vissanu Zumitzavan. - Singapore :Springer Nature Singapore :2025. - xxii, 321 p. :ill., digital ;24 cm.

1. Foundation of Research Philosophy -- 2. Research Framework: A Guide to Research Structure -- 3. Research Methodologies and Designs -- 4. Levels of Validity and Reliability -- 5. Ethics in Management Research -- 6. Sample Selection Methods -- 7. Hypotheses Development -- 8. Quantitative Method Design and Data Analysis -- 9. Qualitative Method Design and Data Analysis -- 10. Mixed Methods Design and Data Analysis -- 11. Discussions of Research Findings -- 12. Recommendations and Implications.

This textbook serves as a comprehensive guide through this complex terrain of research in the discipline of management. It starts by exploring the philosophical foundations of research, specifically ontology and epistemology, developing a robust base for grasping how knowledge is constructed in management. The book then proceeds into practical methodologies, furnishing a clear roadmap through qualitative, quantitative, and mixed methods approaches, research design, and data analysis. It explores key concepts such as hypothesis development, validity, reliability, and ethical considerations, ensuring that researchers are provided with the methodologies to pursue meaningful and rigorous studies. By harmonising theory and practice, this text strives to inspire a thoughtful, methodologically sound approach to management research, bolstering a deeper understanding of both its challenges and its impactful potential. To situate these methodologies in the present moment, it also probes the profound ways artificial intelligence is beginning to reshape the landscape of academic inquiry and augment the capabilities of the modern researcher. Whether for students, researchers, or established scholars, it serves as a valuable resource in mastering the art and science of research.

ISBN: 9789819543182$q(electronic bk.)

Standard No.: 10.1007/978-981-95-4318-2doiSubjects--Topical Terms:

230712
Management
--Research.

LC Class. No.: HD30.4

Dewey Class. No.: 658.407124

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505 0 $a 1. Foundation of Research Philosophy -- 2. Research Framework: A Guide to Research Structure -- 3. Research Methodologies and Designs -- 4. Levels of Validity and Reliability -- 5. Ethics in Management Research -- 6. Sample Selection Methods -- 7. Hypotheses Development -- 8. Quantitative Method Design and Data Analysis -- 9. Qualitative Method Design and Data Analysis -- 10. Mixed Methods Design and Data Analysis -- 11. Discussions of Research Findings -- 12. Recommendations and Implications.
520 $a This textbook serves as a comprehensive guide through this complex terrain of research in the discipline of management. It starts by exploring the philosophical foundations of research, specifically ontology and epistemology, developing a robust base for grasping how knowledge is constructed in management. The book then proceeds into practical methodologies, furnishing a clear roadmap through qualitative, quantitative, and mixed methods approaches, research design, and data analysis. It explores key concepts such as hypothesis development, validity, reliability, and ethical considerations, ensuring that researchers are provided with the methodologies to pursue meaningful and rigorous studies. By harmonising theory and practice, this text strives to inspire a thoughtful, methodologically sound approach to management research, bolstering a deeper understanding of both its challenges and its impactful potential. To situate these methodologies in the present moment, it also probes the profound ways artificial intelligence is beginning to reshape the landscape of academic inquiry and augment the capabilities of the modern researcher. Whether for students, researchers, or established scholars, it serves as a valuable resource in mastering the art and science of research.
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