Artificial Intelligence and the Operationalization of Psychological Constructs: The Case of Emotions and Emotional Authenticity of Entrepreneurs During Pitch Presentations

• Published in: Methods to Improve Our Field Vol. 14; pp. 133 - 155
• Main Authors: Schwab, Andreas, Shuumarjav, Yanjinlkham, Telkamp, Jake B, Beltran, Jose R
• Format: Book Chapter
• Language: English
• Published: Emerald Publishing Limited 18.01.2023
• Subjects: Management science & operations; Management science/operations research; Operational research; emotional authenticity; construct measurement; machine learning; entrepreneurial emotions; Artificial intelligence; facial expressions
• ISBN: 1804553654; 9781804553657
• ISSN: 1479-8387
• DOI: 10.1108/S1479-838720220000014007

Abstract The use of artificial intelligence (AI) in management research is still nascent and has primarily focused on content analyses of text data. Some method scholars have begun to discuss the potential benefits of far broader applications; however, these discussions have not led yet to a wave of corresponding AI applications by management researchers. This chapter explores the feasibility and the potential value of using AI for a very specific methodological task: the reliable and efficient capturing of higher-level psychological constructs in management research. It introduces the capturing of basic emotions and emotional authenticity of entrepreneurs based on their macro- and microfacial expressions during pitch presentations as an illustrative example of related AI opportunities and challenges. Thus, this chapter provides both motivation and guidance to management scholars for future applications of AI to advance management research.