Generalized Linear Model - Publications - Faculty & Research - Harvard Business School

Filter Results: (2,334)

Filter Results: (2,334)

Show Results For

← Page 9 of 2,334 Results →

July–August 2015
Article

The Secret of Singapore: Why Cuba Should Look to Lee Kuan Yew's Thriving City-State for Economic Inspiration

By: Debora L. Spar

Between 1965 and 1991, Singapore grew at an astonishing compound annual growth rate of nearly 14%. Critics of the island's performance accused its celebrated leader, Lee Kuan Yew, of thinly veiled tendencies toward communism and authoritarianism; they argued that the... View Details

Keywords: Economic Models; Communism; Economic Policy; Economic Reform; Angel Investors; Authoritarianism; Economic Systems; Economy; Policy; Government and Politics; Singapore; Cuba

Find at Harvard

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

Find at Harvard

Register to Read

Article

Multi-Echelon Inventory Management Under Short-Term Take-or-Pay Contracts

By: Joel Goh and Evan L. Porteus

We extend the Clark–Scarf serial multi-echelon inventory model to include procuring production inputs under short-term take-or-pay contracts at one or more stages. In each period, each such stage has the option to order/process at two different cost rates; the cheaper... View Details

Keywords: Inventory Management; Multi-echelon Inventory Theory; Karush Lemma; Clark-Scarf Model; Convex Ordering Cost; Advance Commitments; Supply Chain

Find at Harvard

2021
Article

Fair Algorithms for Infinite and Contextual Bandits

By: Matthew Joseph, Michael J Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth

We study fairness in linear bandit problems. Starting from the notion of meritocratic fairness introduced in Joseph et al. [2016], we carry out a more refined analysis of a more general problem, achieving better performance guarantees with fewer modelling assumptions... View Details

Keywords: Algorithms; Bandit Problems; Fairness; Mathematical Methods

February 2019 (Revised May 2021)
Case

Electric Car Wars, 2018

By: John R. Wells and Benjamin Weinstock

Electric cars had long been championed by environmentalists as a superior solution to the internal combustion engine (ICE), but, despite large government incentives and strong pioneering efforts by a few automakers over the years, electric and hybrid cars and light... View Details

January 2017 (Revised October 2023)
Case

Classtivity: Payal's Pirouette

By: Jeffrey J. Bussgang and Olivia Hull

A few months after launching a new fitness technology product, the small staff of New York startup Classtivity gathers on a Saturday in April 2013 to take stock. With one successful pivot under its belt, Classtivity is finally generating revenue and enthusiasm among... View Details

01 Dec 2020
News

New News

exciting. Michael Aft: We exist because traditional media is struggling. There are perverse incentives tied to the ad-revenue model that have made it challenging to consume high-quality content, and that’s true for everything from View Details

Keywords: entrepreneuship; digital media; startups; news; business models; young alumni; News, Library, Internet, and Other Services; Information

Forthcoming
Article

On the Representativeness of Voter Turnout

By: Louis Kaplow and Scott Duke Kominers

Prominent theory research on voting analyzes a variety of models in which expected pivotality drives voters' turnout decisions and hence determines voting outcomes. It is recognized, however, that such work is at odds with Downs's paradox: in practice, many... View Details

Keywords: Voting Behavior; Voting Turnout; Paradox Of Voting; Pivotality; Elections; Model; Theory; Governance Transparency; Government; Democracy; Turnout; Voting; Governance; Government and Politics; Public Sector; Political Elections

Research Summary

Statistical Methodology

William Simpson is developing methods of inference to use when assumptions of standard models are not met. He has created a hypothesis test to use for ipsative variables that adjusts for the non-zero correlations among variables expected under the null hypothesis. ... View Details

Article

Distributionally Robust Optimization and Its Tractable Approximations

By: Joel Goh and Melvyn Sim

In this paper we focus on a linear optimization problem with uncertainties, having expectations in the objective and in the set of constraints. We present a modular framework to obtain an approximate solution to the problem that is distributionally robust and more... View Details

Keywords: Information Technology; Mathematical Methods; Operations

Find at Harvard

October 2013
Article

Ad Revenue and Content Commercialization: Evidence from Blogs

By: Monic Sun and Feng Zhu

Many scholars argue that when incentivized by ad revenue, content providers are more likely to tailor their content to attract "eyeballs," and as a result, popular content may be excessively supplied. We empirically test this prediction by taking advantage of the... View Details

Keywords: Ad-sponsored Business Models; Media Content; Blog; Revenue Sharing; User-generated Content; Platform-based Markets; Blogs; Business Model; Digital Platforms; Commercialization; Digital Marketing

Find at Harvard

March 1989 (Revised April 1990)
Case

Merton Truck Co.

Introduces some of the key concepts in linear programming--problem formulation, relevant costs, shadow prices, and reduced costs. The setting, while artificial, is quite typical: a company manufactures two models of trucks in four manufacturing departments; it must... View Details

Keywords: Production; Decision Making; Business Strategy; Manufacturing Industry

2023
Article

Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma

The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms

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

June 2012
Case

Innovating at AT&T: Partnering to Lead the Broadband Revolution

By: Lynda M. Applegate, Phillip Andrews and Kerry Herman

In 2010, the U.S. retail market value for next-generation non-handset wirelessly-enabled devices was just over $1 billion. By 2011 it had grown 1,141% to $13.2 billion and was forecast to reach $24.7 billion in 2015. At the same time, user demand for data was surging... View Details

Keywords: Innovation ＆ Entrepreneurship; Team Leadership; Emerging Technologies; Business Models; Business To Business; Corporate Vision; Growth Strategy; Corporate Culture; Innovation and Invention; Corporate Entrepreneurship; Partners and Partnerships; Leadership; Mobile and Wireless Technology; Growth and Development Strategy; Globalized Firms and Management; Business Model; Technology Industry; United States

June 2023 (Revised November 2023)
Case

Sober Sidekick

By: Jeffrey J. Bussgang and Kumba Sennaar

Case on the nascent business model of a mobile health IT startup. In particular, should they pivot away from their successful lead generation business model to charging health plans. View Details

Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; Health Industry; United States

TeachingInterests

Interpretability and Explainability in Machine Learning

By: Himabindu Lakkaraju

As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details

2022
Working Paper

Pricing Power in Advertising Markets: Theory and Evidence

By: Matthew Gentzkow, Jesse M. Shapiro, Frank Yang and Ali Yurukoglu

Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize and extend this theoretical result and test it using data from television and social media... View Details

Register to Read

19 Oct 2021
HBS Seminar

Cynthia Rudin, Duke University

Sep 2007 - 2007
Conference Presentation

Antecedents of Boundary Spanning in Cross-functional NPD Teams

By: James R. Dillon, Shikhar Sarin and Amy C. Edmondson

Boundary spanning has been shown in prior research to enhance innovativeness and performance of product development teams. In this study, we examine team conditions that foster boundary spanning behavior. We analyze survey data from 207 members of 54 cross-functional... View Details

Keywords: Product Development; Innovation and Invention; Groups and Teams; Behavior; Performance Improvement; Boundaries; Leadership Style; Product; Complexity; Integration; Power and Influence

←
9
10
…
116
117
→