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      • 2019
      • Chapter

      Quantitative and Qualitative Methods in Organizational Research

      By: Amy C. Edmondson and Tiona Zuzul
      Selecting the appropriate method for a given research question is an essential skill for organizational researchers. High-quality research involves a good fit between the methods used and the nature of the contribution to the literature. This article describes a... View Details
      Keywords: Mathematical Methods; Organizations
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      Edmondson, Amy C., and Tiona Zuzul. "Quantitative and Qualitative Methods in Organizational Research." In The Palgrave Encyclopedia of Strategic Management. Continuously updated edition, edited by Mie Augier and David J. Teece. Palgrave Macmillan, 2017. Electronic. (Pre-published, October 2013.)
      • May 2017
      • Article

      Agent-based Modeling: A Guide for Social Psychologists

      By: Joshua Conrad Jackson, David Rand, Kevin Lewis, Michael I. Norton and Kurt Gray
      Agent-based modeling is a longstanding but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to... View Details
      Keywords: Social Psychology; Marketing; Mathematical Methods
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      Jackson, Joshua Conrad, David Rand, Kevin Lewis, Michael I. Norton, and Kurt Gray. "Agent-based Modeling: A Guide for Social Psychologists." Social Psychological & Personality Science 8, no. 4 (May 2017): 387–395.
      • May 2017
      • Article

      Stable and Strategy-Proof Matching with Flexible Allotments

      By: John William Hatfield, Scott Duke Kominers and Alexander Westkamp
      We introduce a framework of matching with flexible allotments that can be used to model firms with cross-division hiring restrictions. Our framework also allows us to nest some prior models of matching with distributional constraints. Building upon our recent work on... View Details
      Keywords: Balance and Stability; Mathematical Methods
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      Hatfield, John William, Scott Duke Kominers, and Alexander Westkamp. "Stable and Strategy-Proof Matching with Flexible Allotments." American Economic Review 107, no. 5 (May 2017): 214–219.
      • March 2017 (Revised March 2022)
      • Case

      Flashion: Art vs. Science in Fashion Retailing

      By: Kris Ferreira and Karim R. Lakhani
      Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
      Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
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      Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
      • 2017
      • Working Paper

      Minimizing Justified Envy in School Choice: The Design of New Orleans' OneApp

      By: Atila Abdulkadiroglu, Yeon-Koo Che, Parag A. Pathak, Alvin E. Roth and Oliver Tercieux
      In 2012, New Orleans Recovery School District (RSD) became the first U.S. district to unify charter and traditional public school admissions in a single-offer assignment mechanism known as OneApp. The RSD also became the first district to use a mechanism based on Top... View Details
      Keywords: Education; Decision Choices and Conditions; Marketplace Matching; Mathematical Methods; Design
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      Abdulkadiroglu, Atila, Yeon-Koo Che, Parag A. Pathak, Alvin E. Roth, and Oliver Tercieux. "Minimizing Justified Envy in School Choice: The Design of New Orleans' OneApp." NBER Working Paper Series, No. 23265, March 2017.
      • Winter 2017
      • Article

      Why Big Data Isn't Enough

      By: Sen Chai and Willy C. Shih
      There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and... View Details
      Keywords: Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory
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      Chai, Sen, and Willy C. Shih. "Why Big Data Isn't Enough." Art. 58227. MIT Sloan Management Review 58, no. 2 (Winter 2017): 57–61.
      • 18 Nov 2016
      • Conference Presentation

      Rawlsian Fairness for Machine Learning

      By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
      Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details
      Keywords: Machine Learning; Algorithms; Fairness; Decision Making; Mathematical Methods
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      Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), November 18, 2016.
      • 2016
      • Working Paper

      Refugee Resettlement

      By: David Delacretaz, Scott Duke Kominers and Alexander Teytelboym
      Over 100,000 refugees are permanently resettled from refugee camps to hosting countries every year. Nevertheless, refugee resettlement processes in most countries are ad hoc, accounting for neither the priorities of hosting communities nor the preferences of refugees... View Details
      Keywords: Refugees; Marketplace Matching; Mathematical Methods
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      Delacretaz, David, Scott Duke Kominers, and Alexander Teytelboym. "Refugee Resettlement." Working Paper, November 2016.
      • Article

      High School Curriculum and Financial Outcomes: The Impact of Mandated Personal Finance and Mathematics Courses

      By: Shawn Cole, Anna Paulson and Gauri Kartini Shastry
      Financial literacy and cognitive capabilities are convincingly linked to the quality of financial decision-making. Yet, there is little evidence that education intended to improve financial decision-making is successful. Using plausibly exogenous variation in exposure... View Details
      Keywords: Financial Literacy; Cognitive Capability; Secondary Education; Personal Finance; Decision Making
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      Cole, Shawn, Anna Paulson, and Gauri Kartini Shastry. "High School Curriculum and Financial Outcomes: The Impact of Mandated Personal Finance and Mathematics Courses." Journal of Human Resources 51, no. 3 (Summer 2016): 656–698.
      • Article

      Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

      By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
      The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details
      Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics
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      Glaeser, Edward, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 114–118.
      • 2016
      • Article

      Penalized Fast Subset Scanning

      By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill
      We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic.... View Details
      Keywords: Disease Surveillance; Likelihood Ratio Statistic; Pattern Detection; Scan Statistic; Mathematical Methods
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      Speakman, Skyler, Sriram Somanchi, Edward McFowland III, and Daniel B. Neill. "Penalized Fast Subset Scanning." Journal of Computational and Graphical Statistics 25, no. 2 (2016): 382–404. (Selected for “Best of JCGS” invited session by the journal’s editor in chief.)
      • January 2016
      • Article

      Zooming In: A Practical Manual for Identifying Geographic Clusters

      By: Juan Alcacer and Minyuan Zhao
      This paper takes a close look at the reasons, procedures, and results of cluster identification methods. Despite being a popular research topic in strategy, economics, and sociology, geographic clusters are often studied with little consideration given to the... View Details
      Keywords: Mathematical Methods
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      Alcacer, Juan, and Minyuan Zhao. "Zooming In: A Practical Manual for Identifying Geographic Clusters." Strategic Management Journal 37, no. 1 (January 2016): 10–21.
      • Article

      Formal Measures in Informal Management: Can a Balanced Scorecard Change a Culture?

      By: Robert Gibbons and Robert S. Kaplan
      Agency theorists, historically, have analyzed what kinds of performance measures should be used in formal incentive contracts. For example, after Kaplan-Norton proposed a balanced scorecard of both financial and non-financial measures, some envisioned its role only in... View Details
      Keywords: Relational Contracts; Performance Measurement; Informal Management; Balanced Scorecard; Economics; Mathematical Methods
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      Gibbons, Robert, and Robert S. Kaplan. "Formal Measures in Informal Management: Can a Balanced Scorecard Change a Culture?" American Economic Review: Papers and Proceedings 105, no. 5 (May 2015).
      • 2015
      • Working Paper

      Configurations of Extremal Type II Codes

      By: Noam D. Elkies and Scott Duke Kominers
      We prove configuration results for extremal Type II codes, analogous to the configuration results of Ozeki and of the second author for extremal Type II lattices. Specifically, we show that for n∈{8,24,32,48,56,72,96} every extremal Type II code of length n is... View Details
      Keywords: Mathematical Methods
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      Elkies, Noam D., and Scott Duke Kominers. "Configurations of Extremal Type II Codes." Working Paper, March 2015.
      • Article

      Aztec Castles and the dP3 Quiver

      By: Megan Leoni, Gregg Musiker, Seth Neel and Paxton Turner
      Bipartite, periodic, planar graphs known as brane tilings can be associated to a large class of quivers. This paper will explore new algebraic properties of the well-studied del Pezzo 3 (dP3) quiver and geometric properties of its corresponding brane tiling. In... View Details
      Keywords: Brane Tiling; Del Pezzo 3 Lattice; Dimer Model; Mathematical Methods
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      Leoni, Megan, Gregg Musiker, Seth Neel, and Paxton Turner. "Aztec Castles and the dP3 Quiver." Journal of Physics A: Mathematical and Theoretical 47, no. 47 (November 28, 2014).
      • 2014
      • Working Paper

      Non-Adherence in Health Care: A Positive and Normative Analysis

      By: Mark Egan and Tomas J. Philipson
      Non-adherence in health care results when a patient does not initiate or continue care that a provider has recommended. Previous research identifies non-adherence as a major source of waste in US health care, totaling approximately 2.3% of GDP, and have proposed a... View Details
      Keywords: Health Care and Treatment; Behavior; Economics; Analysis; Mathematical Methods
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      Egan, Mark, and Tomas J. Philipson. "Non-Adherence in Health Care: A Positive and Normative Analysis." NBER Working Paper Series, No. 20330, July 2014. (Previously titled, "Health Care Adherence and Personalized Medicine.")
      • Article

      Asymptotic Improvements of Lower Bounds for the Least Common Multiples of Arithmetic Progressions

      By: Daniel M. Kane and Scott Duke Kominers
      For relatively prime positive integers and r, we consider the least common multiple L_n:=\mathop{\textrm{lcm}}(u_0,u_1,\dots, u_n) of the finite arithmetic progression \{u_k:=u_0+kr\}_{k=0}^n. We derive new lower bounds on L_n that improve upon those obtained... View Details
      Keywords: Mathematical Methods
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      Kane, Daniel M., and Scott Duke Kominers. "Asymptotic Improvements of Lower Bounds for the Least Common Multiples of Arithmetic Progressions." Canadian Mathematical Bulletin 57, no. 3 (September 2014): 551–561.
      • October 2013
      • Article

      How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies

      By: Phanish Puranam, Ranjay Gulati and Sourav Bhattacharya
      While many theories of the firm seek to explain when firms make rather than buy, in practice, firms often make and buy the same input—they engage in plural sourcing. We argue that explaining the mix of external procurement and internal sourcing for the same input... View Details
      Keywords: Supply Chain; Forecasting and Prediction; Framework; Prejudice and Bias; Mathematical Methods
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      Puranam, Phanish, Ranjay Gulati, and Sourav Bhattacharya. "How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies." Strategic Management Journal 34, no. 10 (October 2013): 1145–1161.
      • 2013
      • Working Paper

      Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs

      By: Juan Alcacer, Wilbur Chung, Ashton Hawk and Goncalo Pacheco-de-Almeida
      Although Strategy research aims to understand how firm actions have differential effects on performance, most empirical research estimates the average effects of these actions across firms. This paper promotes Random Coefficients Models (RCMs) as an ideal empirical... View Details
      Keywords: Strategy; Mathematical Methods
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      Alcacer, Juan, Wilbur Chung, Ashton Hawk, and Goncalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs." Harvard Business School Working Paper, No. 14-022, September 2013.
      • 2013
      • Working Paper

      Where do the Most Active Customers Originate and How Can Firms Keep Them Engaged?

      By: Clarence Lee, E. Ofek and Thomas Steenburgh
      In this paper, we study how firms offering Web services can acquire and develop an active customer base. We focus on two basic questions. First, how does the method of customer acquisition affect the way customers use the service to meet their own needs and to interact... View Details
      Keywords: Customer Engagement; Adoption Routes; Hidden Markov Models; Search; Word-of-Mouth; Digital Media; Customer Relationship Management; Internet and the Web; Mathematical Methods; Consumer Behavior; Entrepreneurship; Marketing Reference Programs; Web Services Industry
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      Lee, Clarence, E. Ofek, and Thomas Steenburgh. "Where do the Most Active Customers Originate and How Can Firms Keep Them Engaged?" Working Paper, 2013. (Revise and Resubmit at Management Science.)
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