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• Teaching Note | HBS Case Collection | November 2019

  Bigbelly

  Mitchell Weiss, Christine Snively and Sarah Mehta

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  Weiss, Mitchell, Christine Snively, and Sarah Mehta. "Bigbelly." Harvard Business School Teaching Note 820-064, November 2019.  View Details

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• Case | HBS Case Collection | November 2019

  Edita: Making Choices in Uncertain Times

  Caroline M. Elkins, Juan Alcacer, Alpana Thapar and Youssef Abdel Aal

  After 15 years of steady growth and expansion, Edita, a leading Egyptian snack producer, faced a series of challenges in the wake of the Arab Spring. In January 2011, the Egyptian Revolution sparked political and economic turmoil that reflected the waves of protest and violence already spreading throughout North Africa and parts of the Middle East. Hani Berzi, CEO of Edita, managed to navigate the company through this period, though the severe devaluation of the Egyptian pound in November 2016 meant yet another period of crisis for the country’s economy and, with it, the snack food industry. Hani was faced with a series of hard decisions that would determine Edita’s future. He held a crisis management meeting with his executive team and on the agenda were two key decisions. Should they increase their prices as a short-term strategy to survive the turbulent period at the risk of losing market share? Should Edita aim to diversify risk by tapping into underserved rural areas in Egypt or rather by expanding its presence in regional markets? Or, should the company adopt some combination of both strategies, or neither, and instead devise another course for addressing the crisis?

  Keywords: Decision Making; Developing Countries and Economies; Economy; Business or Company Management; Price; Crisis Management; Growth and Development Strategy; Distribution; Risk and Uncertainty; Business Strategy; Expansion; Currency; Food and Beverage Industry; Egypt; Africa; Middle East;

  Citation:

  Elkins, Caroline M., Juan Alcacer, Alpana Thapar, and Youssef Abdel Aal. " Edita: Making Choices in Uncertain Times." Harvard Business School Case 320-026, November 2019.  View Details

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• Article | Strategic Management Journal

  Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

  Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna

  We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural network algorithm—can shed light on questions related to CEO oral communication. With videos and corresponding transcripts of interviews with emerging market CEOs, we employ this synthesis of methods to discover five distinct communication styles that incorporate both verbal and nonverbal aspects of communication. Our data are comprised of interviews that represent unedited expressions and content, making them especially suitable as data sources for the measurement of an individual’s communication style. We then perform a proof-of-concept analysis, correlating CEO communication styles to M&A outcomes, highlighting the value of combining text and videographic data to define styles. We also discuss the benefits of using our methods versus current research methods.

  Keywords: CEOs; communication style; Machine learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance;

  Citation:

  Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.  View Details

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