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  • November 2023
  • Article

Federated Electronic Health Records for the European Health Data Space
By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic...  View Details
Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry
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  • 2023
  • Working Paper

Targeting, Personalization, and Engagement in an Agricultural Advisory Service
By: Susan Athey, Shawn Cole, Shanjukta Nath and Jessica Zhu
ICT is increasingly used to deliver customized information in developing countries. We examine whether individually targeting the timing of automated voice calls meaningfully increases engagement in an agricultural advisory service. We define, estimate, and...  View Details
Keywords: Developing Countries and Economies; Knowledge Dissemination; Customization and Personalization; Performance Effectiveness
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  • 2023
  • Working Paper

Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using data from drug development, we show that novel drug candidates generate more knowledge spillovers than incremental ones. Despite being less likely to reach...  View Details
Keywords: Research and Development; Forecasting and Prediction; Valuation; Pharmaceutical Industry
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  • 2023
  • Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...  View Details
Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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  • March–April 2023
  • Article

Pricing for Heterogeneous Products: Analytics for Ticket Reselling
By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in...  View Details
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
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  • 2023
  • Working Paper

Organizational Responses to Product Cycles
By: Achyuta Adhvaryu, Vittorio Bassi, Anant Nyshadham, Jorge Tamayo and Nicolas Torres
Product cycles entail the mass production of new—and often increasingly complex—products on a regular basis. How do firms manage these changes? We use granular daily data from a leading automobile manufacturer to study the organizational impacts of introducing new...  View Details
Keywords: Training; Organizational Change and Adaptation; Knowledge Management; Production; Product; Organizational Structure; Auto Industry; Argentina
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  • March, 2023
  • Article

Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes
By: Maria P. Roche
The transfer of complex knowledge and skills is difficult, often requiring intensive interaction and extensive periods of co-working between a mentor and mentee, which is particularly true in apprenticeship-like settings and on-the-job training. This paper studies a...  View Details
Keywords: Entrepreneurship; Higher Education; Training; Personal Development and Career; Knowledge Dissemination
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  • March 2023
  • Article

Reaching for Rigor and Relevance: Better Marketing Research for a Better World
By: Shilpa Madan, Gita Venkataramani Johar, Jonah Berger, Pierre Chandon, Rajesh Chandy, Rebecca Hamilton, Leslie John, Aparna Labroo, Peggy J. Liu, John G. Lynch, Nina Mazar, Nicole Mead, Vikas Mittal, Christine Moorman, Michael I. Norton, John Roberts, Dilip Soman, Madhu Viswanathan and Katherine White
Over the past several decades, scholars have highlighted the obligations and opportunities for marketing as a discipline to play a role in creating a better world — or risk becoming irrelevant for the largest problems facing consumers and society. Climate change,...  View Details
Keywords: COVID-19 Pandemic; Marketing; Social Issues; Corporate Social Responsibility and Impact; Business and Community Relations; Research
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  • 2023
  • Working Paper

You've Got Mail! The Late 19th Century U.S. Postal Service Expansion, Entrepreneurship, and Firm Performance
By: Astrid Marinoni and Maria P. Roche
We analyze the impact of the U.S. Postal Service's expansion in the late 1800s on entrepreneurship and firm performance. Exploiting novel data constructed from digitized archives on historic business establishments, post office locations, and road network...  View Details
Keywords: Entrepreneurship; Institutional Innovation; Knowledge Exchange; US Postal Service; Firm Performance; Infrastructure; Expansion; Government Administration; Communication; Business History; Public Administration Industry; California
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  • 2022
  • Article

Towards Robust Off-Policy Evaluation via Human Inputs
By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset...  View Details
Keywords: Analytics and Data Science; Research
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  • June 2022
  • Article

Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information...  View Details
Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing
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  • December 2021
  • Article

The Evolutionary Nature of Breakthrough Innovation: An Empirical Investigation of Firm Search Strategies
By: Dominika Kinga Randle and Gary P. Pisano
Breakthrough innovation has been an important topic of study for generations of scholars. Previous research in this domain has focused on exploring the way breakthroughs emerge from cumulative combination and recombination of prior technologies and knowledge components...  View Details
Keywords: Breakthrough Innovation; Exploration And Exploitation; Search Strategy; Innovation and Invention; Technological Innovation; Strategy
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  • 2023
  • Working Paper

Beefing IT Up for Your Investor? Open Sourcing and Startup Funding: Evidence from GitHub
By: Annamaria Conti, Christian Peukert and Maria Roche
We study the participation of nascent firms in open source communities and its implications for attracting funding. To do so, we link data on 160,065 U.S. startups from Crunchbase to their activities on the open source development platform GitHub. In a matched sample...  View Details
Keywords: Startups; Technology Strategy; GitHub; Machine Learning; Business Startups; Venture Capital; Information Technology; Strategy
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  • 2021
  • Book

The Peacemaker's Code
By: Deepak Malhotra
The book's many themes -- war & peace, history, strategy, negotiation, leadership, friendship, & love -- are woven together in a novel with a sci-fi hook and a thrilling premise. The protagonist is a young history professor who is whisked off to Washington, where he...  View Details
Keywords: Fiction
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  • Article

Incorporating Interpretable Output Constraints in Bayesian Neural Networks
By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez
Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints...  View Details
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  • December 2020
  • Article

Taking Innovation to the Streets: Micro-geography, Physical Structure and Innovation
By: Maria P. Roche
In this paper, we analyze how the physical layout of cities affects innovation by influencing the organization of knowledge exchange. We exploit a novel data set covering all Census Block Groups in the contiguous United States with information on innovation outcomes,...  View Details
Keywords: Microgeography; Innovation; Street Infrastructure; Knowledge Exchange; Interactions; Geography; City; Innovation and Invention; Knowledge Sharing
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  • 2020
  • Working Paper

When Do Experts Listen to Other Experts? The Role of Negative Information in Expert Evaluations for Novel Projects
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation of novel projects lies at the heart of scientific and technological innovation, and yet literature suggests that this process is subject to inconsistency and potential biases. This paper investigates the role of information sharing among experts as the...  View Details
Keywords: Project Evaluation; Innovation; Knowledge Frontier; Negativity Bias; Projects; Innovation and Invention; Information; Diversity; Judgments
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  • May 2020
  • Article

Into the Fray: Adaptive Approaches to Studying Novel Teamwork Forms
By: Michaela Kerrissey, Patricia Satterstrom and Amy C. Edmondson
Novel forms of teamwork—created by rapid change and growing diversity among collaborators—are increasingly common, and they present substantial methodological challenges for research. We highlight two aspects of new team forms that challenge conventional methods....  View Details
Keywords: Team Member Fluidity; Temporary Teams; Knowledge Diversity; Entitativity; Concordance; Methods; Groups and Teams; Problems and Challenges; Research
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  • Article

A Theories-in-Use Approach to Building Marketing Theory
By: G. Zaltman, Valarie A. Zeithaml, Bernard Jaworski, Ajay K. Kohli, Kapil R. Tuli and Wolfgang Ulaga
This article’s objective is to inspire and provide guidance on the development of marketing knowledge based on the theories-in-use (TIU) approach. The authors begin with a description of the TIU approach and compare it with other inductive and deductive research...  View Details
Keywords: Building Theory; Grounded Theory; Theories-in-use; Theory Construction; Theory Development; Marketing; Knowledge; Theory
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  • January 2020
  • Article

Jack of All Trades and Master of Knowledge: The Role of Diversification in New Distant Knowledge Integration
By: Frank Nagle and Florenta Teodoridis
We consider the role of individual-level diversification as a mechanism through which skilled researchers engage in successful exploration—recognizing and integrating new knowledge external to one’s domains of expertise. To approach an ideal experiment, we (1) employ a...  View Details
Keywords: Individual-level Knowledge Diversification; Novel Knowledge; Knowledge Acquisition; Diversification; Innovation and Invention; Research
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