New Measures with Big Data and Machine Learning in Strategic Leadership Research

Abstract

While the field of management has long argued the importance of manager attributes in organizational outcomes, scholars are often constraint by the limitation of data availability and computational power. To overcome the challenges, scholars start to leverage the recent development of computer science in management research. This symposium is focused on new measures using big data and machine learning techniques in strategic leadership research. The goal of the symposium is to bring together active scholars to demonstrate and discuss the opportunities and challenges of applying these new unobtrusive measures. The presentations explore a wide range of manager attributes including Big Five personality, immigration status, linguistic style, and humility and their implications on organizational investment, crises management, competitive strategy, and corporate governance. Overall, the goal of this symposium is to initiate a timely conversation with the audience from STR, RM, and OB divisions and, broadly, contribute to the theme of the annual meeting “Bringing the Manager Back in Management” by offering new insights into how managers affect organizational outcomes. CEO Personality and Intangible Investments Presenter: Steven Boivie; Texas A&M U. Presenter: Joseph Harrison; Texas Christian U. Presenter: Steve C. Lim; Texas Christian U. Presenter: Lindsey Yonish; - Immigrant CEOs and Leading During a Crisis Presenter: Dany Bahar; The Brookings Institution Presenter: Prithwiraj Choudhury; Harvard U. Presenter: Britta Glennon; The Wharton School, U. of Pennsylvania To Be Remembered: Leader Linguistic Style and Entrepreneurial Firm Resource Acquisition during IPO Presenter: Wei Guo; Hong Kong Polytechnic U. CEO Humility, Corporate Governance, and Shareholder Activism Presenter: Xina Li; INSEAD Presenter: Amy Y. Ou; Department of Management &Marketing, Faculty of Business, Hong Kong Polytechnic Presenter: Guoli Chen; INSEAD