Overview

Research Methodology in Strategy and Management advances understanding of the methods used to study organizations - including managers, strategies, and how firms succeed. Offering innovative ideas that explore how strategy and management methodology can be developed, the chapter authors in Volume 14, Methods to Improve Our Field, consider approaches that range from the re-imagining of secondary data in the digital age and Interpretive Phenomenological Analysis (IPA) to Machine Learning and Artificial Intelligence. Methods to Improve Our Field is a necessity for both academics and researchers interested in the progression and cutting-edge studies of management, strategy, international business, entrepreneurship, and organization theory.

Full Product Details

Author:   Aaron D. Hill (University of Florida, USA) ,  Aaron F. McKenny (Indiana University Bloomington, USA) ,  Paula O'Kane (University of Otago, New Zealand) ,  Sotirios Paroutis (University of Warwick, UK)
Publisher:   Emerald Publishing Limited
Imprint:   Emerald Publishing Limited
Dimensions:   Width: 15.20cm , Height: 1.50cm , Length: 22.90cm
Weight:   0.395kg
ISBN:  

9781804553657

ISBN 10:   1804553654
Pages:   192
Publication Date:   18 January 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1. Introduction to Methods to Improve Our Field; Aaron D. Hill, Aaron F. McKenny, Paula O'Kane, and Sotirios Paroutis Chapter 2. Reimagining Secondary Data in a Digital Age; Katrina Pritchard Chapter 3. Insights from the Application of Interpretative Phenomenological Analysis in Management Research; Yulia Taylor and Fiona Edgar Chapter 4. Synthesizing Best Practices for Conducting Dictionary-Based Computerized Text Analysis Research; Shane W. Reid, Aaron F. McKenny, and Jeremy C. Short Chapter 5. Using Mixed Effect Growth Models To Examine Time as a Predictor of Interest and Between-Firm Differences Over Time; Donald J. Schepker and Paul D. Bliese Chapter 6. Garbage In, Garbage Out: A Theory-Driven Approach To Improve Data Handling In Supervised Machine Learning; Steven J Hyde, Eric Bachura, and Joseph Harrison Chapter 7. Artificial Intelligence and Operationalization of Psychological Constructs: The Case of Emotions and Emotional Authenticity of Entrepreneurs during Pitch Presentations; Andreas Schwab, Yanjinlkham Shuumarjav, Jake B. Telkamp, and Jose R. Beltran Chapter 8. PechaKucha-based Participatory Video for Organizational Research; Timothy Madden, Laura T. Madden, and Anne D. Smith

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Author Information

Aaron D. Hill is an Associate Professor in the Management Department of the Warrington College of Business at the University of Florida, USA. Aaron F. McKenny is an Assistant Professor at the Kelley School of Business, Indiana University Bloomington, USA. Paula O’Kane is a Senior Lecturer in the Department of Management at the Otago Business School, University of Otago, New Zealand. Sotirios Paroutis is Professor of Strategic Management at Warwick Business School, the University of Warwick, UK.

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