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

Prithwiraj  Choudhury; Dan  Wang; Natalie A. Carlson; Tarun   Khanna

Article | Strategic Management Journal

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

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

Abstract

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;

Format: Print

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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.

Alibaba's Rural Taobao initiative had been launched in 2014 as a public service initiative to increase e-commerce adoption in China’s remote rural areas. In the first two iterations of the initiative, dubbed “1.0” and “2.0,” Alibaba had partnered with local businesses and young returnees to operate village stations. Village stations served as logistical and educational hubs to help villagers make online purchases. Despite significant growth in sales through village stations, the business model was operating at a loss, and competitors JD and Pinduoduo were growing quickly, threatening to challenge Alibaba by claiming the rural e-commerce markets. Bill Wang, the head of the initiative, was tasked with designing and implementing the next model for Alibaba’s future expansion into rural areas. The decision centers around whether Alibaba should copy the successes of competitors JD and Pinduoduo, escalate commitment to its original value proposition (hands-on service to villagers), or embrace an entirely new model. The case highlights the competing pressures of financial performance, CSR and corporate mission, government relations, and long-term competitive positioning that are common to major strategic decisions.

India's start-up ecosystem is amongst the largest globally, with a variety of funding options from angel investors, venture capital and corporate venture capital to debt. Classic consumer focused start-ups which look to leverage technology have been able to raise significant amounts of capital but the situation is more challenging for deep science and technology focused startups. This note focuses on these issues and the factors behind them.

Case | HBS Case Collection | September 2019

Earth Bank of Codes: Making Nature's Biological Assets Visible and Valuable for the Benefit of All

Tarun Khanna, Raffaella Sadun and Susie Ma

In 2019, entrepreneur Juan Carlos Castilla-Rubio was developing a project he hoped could generate and share wealth from the natural resources of the Amazon without destroying those resources. His idea, called Earth Bank of Codes (EBC), would create a library of the genomic codes of all known species that could be tapped for discovery and innovation, from new medical interventions to more efficient manufacturing processes. He proposed to use blockchain technology to make the data both accessible and trackable so that its use could be monitored. Castilla-Rubio envisioned a time when a company in the U.S. could access a biological asset from the Peruvian Amazon, develop and commercialize a product based on the asset, and have a fraction of the resulting sales land directly in the bank account of various beneficiaries, including the Peruvian government and indigenous communities. Now he was facing major decisions about how to structure EBC to achieve his goals. Should he start at the top and build partnerships with national governments and inter-governmental organizations as the cornerstone of EBC? Or would it be better to forge ahead with a few stakeholders in an entrepreneurial project?

Keywords: Decision Making; Development Economics; Entrepreneurship; Innovation and Invention; Intellectual Property; Emerging Markets; Market Design; Marketplace Matching; Science; Genetics; Natural Environment; Environmental Sustainability; Weather and Climate Change; Social Enterprise; Strategy; Strategic Planning; Technology; Ownership; Social Psychology; Trust; Society; Biotechnology Industry; South America; Amazon Basin;

Citation:

Khanna, Tarun, Raffaella Sadun, and Susie Ma. "Earth Bank of Codes: Making Nature's Biological Assets Visible and Valuable for the Benefit of All." Harvard Business School Case 720-356, September 2019. View Details

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

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