Publications

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06 Nov 2018
First Look

New Research and Ideas, November 6, 2018

neither find any markers of significant NPE pass-through to end innovators nor of a positive impact of NPEs on innovation in the industries in which they are most prevalent. Publisher's link:... View Details

Keywords: Dina Gerdeman

July 2005 (Revised August 2006)
Case

Amagansett Funds (A)

Amagansett Funds has had a troubled history with its customer relationship management (CRM) system. Sales agents feel that they derive no value from it and that it is a "tax on their jobs." Amagansett is investigating whether CRM can be improved by making its data... View Details

Keywords: Management; Customer Relationship Management; Information Technology; Financial Services Industry

25 Aug 2022
News

Comfort Zone

comfortable, that task has to fall to the airports. “Travel was stressful already, and even more so after COVID. The airports need to respond by making this time as relaxing as possible,” says Fraser, who is also a trained architect, serves on View Details

Research Summary

Overview

By: Goran Calic

What makes some organizations more innovative than others? Innovation follows from strategy and structure. A good strategy allows individuals to impose their own imagination towards organizational goals in a coordinated way. Good structure adds incentives that... View Details

Keywords: Energy Generation; Renewable Energy; Entrepreneurship; Environmental Sustainability; Green Technology; Innovation Strategy; Technological Innovation; Innovation and Management; Resource Allocation; Strategy; Energy Industry; Energy Industry; Canada; United States; Europe; Croatia; Serbia and Montenegro

Web

Mergent Intellect | Baker Library

Mergent Intellect Provides access to private and public U.S and international business and industry data. Read More Platform also supplies access to industry news, facts and figures, executive contact... View Details

October 2006 (Revised February 2007)
Background Note

How Media Choices are Changing Online Advertising

By: Stephen P. Bradley and Nancy Bartlett

What is the response by advertisers as media consumption moves to the digital medium? Provides an overview of online advertising in mid-2006 and discusses the impact of an increasingly fractured media landscape and its accompanying expanding advertising options. View Details

Keywords: Digital Marketing; News; Media; Emerging Markets; Internet and the Web; Perspective; Disruption; Journalism and News Industry

August 2015 (Revised February 2017)
Case

Bridj and the Business of Urban Mobility (A): Developing a New Model

By: Rosabeth Moss Kanter and Daniel Fox

Bridj, a Boston startup that provides Big Data-powered, "pop-up" bus routes that respond to transportation demand, has been in operation for a little over a year and has recently launched service in Washington, D.C., its second market. Despite media acclaim and... View Details

15 Nov 2016
News

China IFC: Global Access, Global Perspective

William C. Kirby, the Spangler Family Professor of Business Administration, developed the course to introduce students to a cross section of Chinese industry and commerce while also providing a deeper dive into a particular sector. For... View Details

February 1998 (Revised June 1999)
Case

DigitalThink: Startup

By: William A. Sahlman, Michael J. Roberts and Christina L. Darwall

Describes a recent Berkeley MBA's attempts to start a business aimed at corporate training via the Internet. Describes the very early efforts at finding an attorney, accountant, and financing, and the interrelationships among these choices. View Details

Keywords: Internet and the Web; Entrepreneurship; Problems and Challenges; Business Startups; Service Industry

April 2024
Article

A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification

By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson

Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details

Keywords: Health Disorders; Health Testing and Trials; AI and Machine Learning; Health Industry

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January 2017 (Revised May 2020)
Case

Sesame Workshop (A): Bringing Big Bird Back to Health

By: Rosabeth Moss Kanter, Ryan Raffaelli and Jonathan Cohen

Sesame Workshop was transforming in 2016. CEO Jeff Dunn had reorganized and shifted the iconic institution to respond to digital disruption and a consensus culture. This case examines his efforts to turn Sesame Workshop around. It notes Sesame's storied history and the... View Details

Keywords: Restructuring; Organizational Change and Adaptation; Leadership; Information Technology; Education; Media; Strategy; Education Industry

10 Jul 2018
First Look

New Research and Ideas, July 10, 2018

Tarun Abstract—New technologies can be unsettling for industry incumbents, regulators, and consumers, because norms and institutions for dealing with them don’t yet exist. Interestingly, businesspeople in... View Details

Keywords: Dina Gerdeman

September 2020 (Revised June 2023)
Supplement

Spreadsheet Supplement to Artea Teaching Note

By: Eva Ascarza and Ayelet Israeli

Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details

Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Retail Industry; Retail Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Retail Industry; Retail Industry; United States