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2022
Working Paper

Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso

We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details

Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing

January 2021
Article

A Model of Relative Thinking

By: Benjamin Bushong, Matthew Rabin and Joshua Schwartzstein

Fixed differences loom smaller when compared to large differences. We propose a model of relative thinking where a person weighs a given change along a consumption dimension by less when it is compared to bigger changes along that dimension. In deterministic settings,... View Details

Keywords: Relative Thinking; Econometric Models; Behavior; Cognition and Thinking

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2024
Working Paper

The Crowdless Future? Generative AI and Creative Problem Solving

By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani

The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details

Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention

January 2014 (Revised December 2014)
Case

GenapSys: Business Models for the Genome

By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble

GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details

Keywords: DNA Sequencing; Life Sciences; Business Model; Innovation ＆ Entrepreneurship; Health Care and Treatment; Genetics; Business Strategy; Biotechnology Industry; Pharmaceutical Industry; Technology Industry; Health Industry; Medical Devices and Supplies Industry; United States

July 2024
Article

Chatbots and Mental Health: Insights into the Safety of Generative AI

By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni

Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details

Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics

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2024
Working Paper

Climate Solutions, Transition Risk, and Stock Returns

By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim

Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details

Keywords: Climate Change; Innovation; Sustainability; Technology; Artificial Intelligence; Generative Ai; Large Language Models; Environment; Climate Finance; Investing

August 2017 (Revised December 2018)
Case

Tamarin App: Natural Language Processing

By: Srikant M. Datar and Caitlin N. Bowler

In this case, students explore the challenges of using sentiment analysis to monitor and understand public perception around a software application, Tamarin SEO App. Technical topics include building a filtering classifier using naive Bayes and sentiment analysis This... View Details

Keywords: Data Science; Branding; Data Analytics; Analytics and Data Science; Brands and Branding; Analysis; Perception; Planning

2018
Working Paper

Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 6 The Value Structure of Technologies, Part 1: Mapping Functional Relationships

By: Carliss Y. Baldwin

Organizations are formed in a free economy because a person or group perceives value in carrying out a technical recipe that is beyond the capacity of a single person. Technology specifies what must be done, what resources must be assembled, what actions taken, and... View Details

Keywords: Language; Information Technology; System; Relationships

2013
Dissertation

Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics

By: Clarence Lee, Vineet Kumar and Sunil Gupta

Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers... View Details

Keywords: Discrete-Continuous Choice Dynamic Structural Models; Bayesian Estimation; Word-of-Mouth; Digital Services; Freemium; Entrepreneurship; Business Model; Motivation and Incentives; Marketing Strategy; Internet and the Web; Consumer Behavior; Marketing Reference Programs; Business Startups

January – February 2011
Article

How to Design a Winning Business Model

By: Ramon Casadesus-Masanell and Joan E. Ricart

Most executives believe that competing through business models is critical for success, but few have come to grips with how best to do so. One common mistake is enterprises' unwavering focus on creating innovative models and evaluating their efficacy in standalone... View Details

Keywords: Business Model; Design; Strength and Weakness; Competitive Strategy; Competitive Advantage

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June–July 2014
Article

Language as a Lightning Rod: Power Contests, Emotion Regulation, and Subgroup Dynamics in Global Teams

By: Pamela J. Hinds, Tsedal Neeley and Catherine Durnell Cramton

Through an ethnographic study comprised of interviews with and observations of 96 globally distributed members in six software development teams, we propose a model that captures how asymmetries in language fluency contribute to an us vs. them dynamic so common in... View Details

Keywords: Equality and Inequality; Communication Intention and Meaning; Groups and Teams; Applications and Software; Emotions; Cross-Cultural and Cross-Border Issues; Power and Influence; Information Technology Industry

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August 2019
Article

When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

By: Yicheng Song, Nachiketa Sahoo and Elie Ofek

Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details

Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods

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2024
Working Paper

Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations

By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein

How prevalent are severe software vulnerabilities, how fast do software users respond to the availability of secure versions, and what determines the variance in the installation distribution? Using the largest dataset ever assembled on user updates, tracking server... View Details

Keywords: Cybersecurity; Applications and Software; Technology Adoption; Consumer Behavior

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2022
Working Paper

Rethinking Explainability as a Dialogue: A Practitioner's Perspective

By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh

As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between... View Details

Keywords: Natural Language Conversations; AI and Machine Learning; Experience and Expertise; Interactive Communication; Business and Stakeholder Relations

2024
Chapter

Inflation and Misallocation in New Keynesian Models

By: Alberto Cavallo, Francesco Lippi and Ken Miyahara

The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details

Keywords: Macroeconomics; Inflation and Deflation; Price; Analytics and Data Science; Cost

Forthcoming
Article

The Double-Edged Sword of Exemplar Similarity

By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher

We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details

Keywords: Natural Language Processing; Analytics and Data Science; Performance Evaluation

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June 2002 (Revised June 2014)
Case

The Netherlands: Is the Polder Model Sinking?

By: Huw Pill, Marie-Laure Y Goepfer, Mathijs Robbens and Ingrid Vogel

The Netherlands suffered economic crisis in the late 1970s and early 1980s, despite (or perhaps because of) its access to North Sea gas. In response to mounting inflation and unemployment, a tripartite agreement between employers, unions, and government was reached in... View Details

Keywords: Macroeconomics; Labor Unions; Netherlands

2020
Working Paper

Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation

By: Michael Yeomans and Alison Wood Brooks

Although most humans engage in conversations constantly throughout their lives, conversational mistakes are commonplace— interacting with others is difficult, and conversation re-quires quick, relentless perspective-taking and decision making. For example: during every... View Details

Keywords: Natural Language Processing; Interpersonal Communication; Perspective; Decision Making; Perception

February 2021
Article

Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning

By: Sooji Ha, Daniel J Marchetto, Sameer Dharur and Omar Isaac Asensio

The transportation sector is a major contributor to greenhouse gas (GHG) emissions and is a driver of adverse health effects globally. Increasingly, government policies have promoted the adoption of electric vehicles (EVs) as a solution to mitigate GHG emissions.... View Details

Keywords: Natural Language Processing; Analytics and Data Science; Environmental Sustainability; Infrastructure; Transportation; Policy

20 Nov 2006
Research & Ideas

Open Source Science: A New Model for Innovation

In a perfect world, scientists share problems and work together on solutions for the good of society. In the real world, however, that's usually not the case. The main obstacles: competition for publication and intellectual property protection. Is there a View Details

Keywords: by Martha Lagace

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