Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

Tarun   Khanna; Karim R. Lakhani; Shubhangi  Bhadada; Nabil  Khan; Saba  Kohli Davé; Rasim  Alam; Meena  Hewett

Article | Academy of Management Perspectives

Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

by Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett

Abstract

This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British India in 1947. The Project collected survivors’ oral histories, a data type that is a mainstay of qualitative research, and subjected their narrative data to statistical analysis to detect aggregated trends. In this paper, the authors discuss the process of straddling the dichotomies of insider/outsider and qualitative/quantitative, address the “myth of informed objectivity,” and consider the need for hybrid research structures with the intent to innovate in humanities projects such as this. In presenting key learnings from the project, this paper highlights the tensions that the authors faced between positivist and interpretivist methods of inquiry, looks at the difference between “insider” and “outsider” categories of positionality and discusses in the quantification of qualitative oral history data. The paper concludes with an illustrative example from one of the lead authors’ past research experiences to suggest that the tensions of this project are general in occurrence and global in applicability, beyond the specifics of the Partition case study explored here.

Keywords: mixed methods; insider-outsiders; myth of informed objectivity; hybrid research; oral narratives; Research; India;

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Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives (in press).

True North was a private equity fund that specialized in the growth and buyout of mid-market, India-centric companies. The leadership team initially believed that technology was not core to traditional businesses and steered clear of new age technology-oriented businesses. Then, in 2007, True North invested in Meru Cabs, a ride-sharing service with a growing fleet of cabs that had to change its business model with the launch of tech-based platforms like Uber. This experience led True North to significantly alter its stance on the importance of technology-powered business models. The team learned that all businesses needed to effectively become technology businesses to remain relevant. True North initiated the “Analytics, Algorithms and Artificial Intelligence” (3A) project. A system, Kelp, was designed and developed internally to facilitate the transformation of True North into an AI-first firm based on the introduction of data-driven decision making and productivity-enhancing digital tools. In 2020, as different elements of Kelp were launched, the leadership team met to discuss the future of this technology.

Working Paper | HBS Working Paper Series | 2020

(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial

Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker

While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between April and May 2020 to investigate how “looks” affect labor market outcomes. Using machine learning and computer face rendering techniques, we simulate North, South, and Northeastern Indian faces and randomize two waves of treatments where we attach faces with otherwise identical CVs. However, the second wave also contains a vignette where we provide respondents with information about the incidence of discrimination. We focus on Northeastern Indian faces that resemble those in China to focus on the potential for discrimination that has historically been present in anecdotal accounts. While we do not find evidence of discrimination against Northeastern faces in the first wave, we do so in the second among those who do not see the vignette. We provide suggestive evidence that these results are consistent with the presence of homophily under limited attention.

Keywords: Behavioral economics; coronavirus; discrimination; homophily; labor market mobility; limited attention; resumes; Personal Characteristics; Prejudice and Bias;

Citation:

Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Subhradip Sarker. "(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial." Harvard Business School Working Paper, No. 21-038, September 2020. View Details

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Pallak Seth, Group CEO of PDS Multinational Fashions, is contemplating options to bring better collaboration across his global apparel supply chain platform. PDS, a group of 50-plus subsidiary companies, each led by its own CEO and with different apparel industry specialties, has grown rapidly over the past decade, yet the industry is increasingly competitive and challenges remain constant. Looking for ways to reach the Group’s 2023 goals of $2 billion in revenue, Seth and his executive board are considering two ways to increase collaboration and reward performance: a joint P&L approach to drive partnerships across the subsidiaries and an employee stock option plan, to unlock value across the Group.

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Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

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