Publications

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May 2013
Article

Health Care's Service Fanatics: How the Cleveland Clinic Leaped to the Top of the Patient-satisfaction Surveys

By: James Merlino and Ananth Raman

The Cleveland Clinic has long had a reputation for medical excellence. But in 2009 the CEO acknowledged that patients did not think much of their experience there, and he decided to act. Since then the Clinic has leaped to the top tier of patient-satisfaction surveys,... View Details

Keywords: Health Care and Treatment; Customer Satisfaction; Health Industry; Cleveland

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03 Feb 2010
Working Paper Summaries

Accountability and Control as Catalysts for Strategic Exploration and Exploitation: Field Study Results

Keywords: by Robert L. Simons

September 2020 (Revised July 2022)
Exercise

Artea (B): Including Customer-Level Demographic Data

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: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

26 Apr 2022
Book

What Does Your Business Stand For? Why Building Trust Starts with Purpose

principles into every aspect of the organization. This purpose serves as a compass to guide all decisions, but also as an operating system that shapes all facets of the business, including its strategy, culture, and its public relations. It enables the View Details

Keywords: by Ranjay Gulati

August 2003 (Revised October 2003)
Case

C&S Wholesale Grocers: Self-Managed Teams

By: Thomas J. DeLong, Tejal Mody and David Ager

Rick Cohen, president and CEO of C&S Wholesale Grocers, is trying to decide whether and how to implement the self-managed teams concept in his warehouse. Eight months earlier, C&S had begun to act as principal wholesaler to A&P throughout New England, a decision that... View Details

Keywords: Customer Satisfaction; Decision Making; Labor Unions; Growth and Development Strategy; Distribution Channels; Organizational Change and Adaptation; Organizational Structure; Groups and Teams; New England

September 2020 (Revised February 2024)
Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

Teaching Note for HBS No. 521-021,521-022,521-037,521-043. 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; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

Ryan Raffaelli is the Marvin Bower Associate Professor of Business Administration at Harvard Business School. He created and teaches the MBA course "Leadership: Execution and Action Planning" (LEAP) and serves... View Details

Keywords: publishing industry; advertising; consulting; information technology industry; grocery; nonprofit industry; retailing; consumer products; federal government

September 2020 (Revised July 2022)
Exercise

Artea (C): Potential Discrimination through Algorithmic Targeting

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: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

March 2011
Case

Insight Communications

By: Rajiv Lal and Natalie Kindred

After undertaking a multi-year, metrics-driven operational and cultural overhaul, in April 2010 Insight Communications was planning the next phase of its development. Insight was a New York-based provider of cable, landline phone, and high-speed Internet service to... View Details

Keywords: Organizational Culture; Competitive Strategy; Management Practices and Processes; Performance Improvement; Growth Management; Management Systems; Business Processes; Measurement and Metrics; Employees; Telecommunications Industry; New York (state, US)

July 2012 (Revised January 2014)
Case

HGRM: Bringing Back High Touch Hospitality

By: Lynda M. Applegate and Gabriele Piccoli

The case centers on the dilemma faced by Carlo Fontana, the owner-operator of a small chain of two four-star urban hotels located in Lugano, Switzerland, and the other in Milan, Italy. Having developed an extensive customer service and operations information system,... View Details

Keywords: Entrepreneurship; Customer Relationship Management

June 2017
Case

Obesity Management at Kaiser Permanente: A New Mindset for Healthcare Delivery?

By: Kevin Schulman, Gregory Leya and Christina Beveridge

Kaiser Permanente (KP) is the largest managed care organization in the United States with over 10 million members. KP evolved from a prepayment or capitation model that focuses the organization around the efficiency of care and the health of the population it serves.... View Details

Keywords: Operations; Health Care and Treatment; Business Model; Strategy; Health Industry; United States

2011
Other Unpublished Work

Innovation and Regulative Ambiguities in the U.S. Geothermal Power Sector

By: Shon R. Hiatt

While prior institutional research has focused on institutional ambiguity as an exogenous condition under which organizations exercise agency, this study examines the state's exercise of agency in making legal institutions more or less ambiguous and its impact on... View Details

Keywords: Entrepreneurship; Policy; Energy Sources; Innovation and Invention; Energy Industry; United States

Research Summary

Overview

Prof. Altman's research interests include innovation, strategy, organizational change, platform-based businesses and their related ecosystems. Her work focuses on the impact to incumbent organizations as platform-based highly networked business models become more... View Details

Keywords: Innovation Management; Multi-sided Platforms; Business Ecosystems; Organizational Change; Paradox; Organizational Identity

Research Summary

Performance Measurement and Incentive Alignment

Professor Kulp is interested in how organizations use information to enhance firm performance. The manner in which an organization gathers, analyzes, and uses performance information as part of its internal governance system affects organizational success. Professor... View Details

23 Apr 2012
Research & Ideas

How to Brand a Next-Generation Product

preferred name. But when the list included several new features, 65.7 percent chose the name StreetPilot. While these experiments focused on high-tech equipment, the professors note that the findings hold true across many industries.... View Details

Keywords: by Carmen Nobel

September 2020 (Revised June 2023)
Supplement

Spreadsheet Supplement to Artea Teaching Note

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; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

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; Apparel and Accessories Industry; Technology Industry; United States

Article

Seize the Power

By: Stefan Thomke

A company’s ability to create and refine its products, customer experiences, processes, and business models—in other words, to compete—is deeply affected by its ability to experiment. Digital giants such as Amazon, Facebook, Google, and Booking.com have found... View Details

Keywords: Experimentation; Competitiveness; Competition; Innovation and Invention; Marketing; Organizational Change and Adaptation