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  • November 2016 (Revised December 2016)
  • Module Note

Strategy Execution Module 12: Aligning Performance Goals and Incentives

By: Robert Simons
This module reading explains how managers use performance goals and incentives to ensure that employee actions align with the overall business strategy of the organization. The module begins by discussing how managers use goals to communicate business strategy, the... View Details
Keywords: Management Control Systems; Implementing Strategy; Execution; Performance Goals; Performance Measures; Incentives; Benchmarks; Motivation; Compensation; Bonuses; Strategy
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Simons, Robert. "Strategy Execution Module 12: Aligning Performance Goals and Incentives." Harvard Business School Module Note 117-112, November 2016. (Revised December 2016.)
  • April 2011 (Revised May 2011)
  • Case

EMC2: Delivering Customer Centricity

By: Thomas Steenburgh and Jill Avery
This case introduces the concept of customer centricity and traces its development at EMC, the world's leading data storage hardware and information management software company. EMC's customers had historically relied on EMC salespeople to guide them through the... View Details
Keywords: Business Model; Interpersonal Communication; Customer Relationship Management; Knowledge Acquisition; Marketing Strategy; Organizational Change and Adaptation; Salesforce Management; Social and Collaborative Networks; Internet; Information Technology Industry
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Steenburgh, Thomas, and Jill Avery. "EMC2: Delivering Customer Centricity." Harvard Business School Case 511-124, April 2011. (Revised May 2011.)
  • Winter 2014
  • Article

Strategic Decisions for Multisided Platforms

By: Andrei Hagiu
Multisided platforms such as eBay and Facebook create value by enabling interactions between two or more customer groups. But building and managing a winning platform isn’t easy. View Details
Keywords: Value Creation; Multi-Sided Platforms; Business Strategy
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Hagiu, Andrei. "Strategic Decisions for Multisided Platforms." MIT Sloan Management Review 55, no. 2 (Winter 2014).
  • 28 Aug 2006
  • Research & Ideas

Online Match-Making with Virtual Dates

it—creating virtual spaces for easy, natural interactions with others—may also inspire non-dating-related applications for managers and entrepreneurs. For example, the researchers believe, another... View Details
Keywords: by Martha Lagace; Publishing
  • November 2002 (Revised May 2003)
  • Case

Epicentric

By: William A. Sahlman
Describes a set of decisions confronting the management of a software company that sells portal management tools to large companies. Management must raise additional funds under difficult circumstances. View Details
Keywords: Finance; Investment Funds; Business or Company Management; Product Marketing; Problems and Challenges; Sales; Information Technology Industry
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Sahlman, William A. "Epicentric." Harvard Business School Case 803-080, November 2002. (Revised May 2003.)
  • November – December 1996
  • Article

What Is Strategy?

By: M. E. Porter
Today's dynamic markets and technologies have called into question the sustainability of competitive advantage. Under pressure to improve productivity, quality, and speed, managers have embraced tools such as TQM, benchmarking, and reengineering. Dramatic operational... View Details
Keywords: Strategy
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Porter, M. E. "What Is Strategy?" Harvard Business Review 74, no. 6 (November–December 1996): 61–78.
  • August 2001 (Revised October 2001)
  • Case

Shinsei Bank (D)

By: Michael Y. Yoshino and Perry Fagan
One year later, Yashiro and his management team can be proud of the young bank's first-year results, but face a set of difficult implementation issues. View Details
Keywords: Financial Reporting; Restructuring; Management Systems; Management Teams; Success; Banking Industry
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Yoshino, Michael Y., and Perry Fagan. "Shinsei Bank (D)." Harvard Business School Case 302-039, August 2001. (Revised October 2001.)
  • January–February 2023
  • Article

Triadic Advocacy Work

By: Summer R. Jackson and Katherine C. Kellogg
Scholars of street-level bureaucracy and institutional research focus primarily on the relationships between advocates and their larger bureaucratic and social systems, assuming that advocates have little need to satisfy their beneficiaries. We find otherwise in our... View Details
Keywords: Occupations And Professions; Ethnography; Power And Politics; Work And Organizations; Advocacy; Public Management; Justice
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Jackson, Summer R., and Katherine C. Kellogg. "Triadic Advocacy Work." Organization Science 34, no. 1 (January–February 2023): 456–483.
  • October 2021
  • Article

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
  • October 1984 (Revised March 1999)
  • Case

NIKE (E)

Provides the background for a discussion of Nike (E1), (E2), and (E3). Outlines Nike's senior management group's early program to deal with the company's increasingly difficult competitive circumstance. View Details
Keywords: Management Style; Competition; Situation or Environment; Management Teams; Apparel and Accessories Industry; Sports Industry
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Roberts, Michael J. "NIKE (E)." Harvard Business School Case 385-033, October 1984. (Revised March 1999.)
  • Research Summary

Antitrust in the new economy

The objectives of this project are threefold: (1) identify the computational, managerial, and legal issues that interact and make antitrust compliance difficult in the context of B2B exchanges; (2) examine the computational difficulties and policy implications of... View Details
  • September 2013 (Revised August 2015)
  • Background Note

Leadership and Teaming

By: Ethan Bernstein
Small differences in the leadership of teams can have large consequences for the success of their efforts. Many initiatives fail not because of a fatal error in judgment or insufficient ideas, knowledge, motivation, or capabilities to deliver a solution. They fail... View Details
Keywords: Teams; Teaming; Leadership And Managing People; Leadership; Team Effectiveness; Team Performance; Team Design; Team Leadership; Teamwork; Team Process; Team Function; Team Launch; 60/30/10 Rule; Team Boundary; Distribution Of Leadership Authority; Self-Managed Teams; Virtual Teams; Unbounded Teams; Acts Of Leadership; Execution Teams; Decision Making Teams; Creativity Teams; Team Size; Task Design; Team Timeline; Team Roles; Team Representation; Diversity; Team Familiarity; Collective Intelligence; Team Stages Of Development; Team Coaching; Performance Pressure; X-Teams; Team Focus; Interaction; Management Teams; Managerial Roles; Management Systems; Management Style; Management Skills; Management Practices and Processes; Organizational Design; Organizational Structure; Performance Effectiveness; Performance Efficiency; Performance Productivity; Groups and Teams; Networks; Social Psychology; Behavior; Conflict and Resolution; Creativity; Social and Collaborative Networks; Satisfaction; Prejudice and Bias; Power and Influence; Personal Characteristics; Familiarity; Cognition and Thinking; Attitudes; Projects; Organizational Culture; Organizational Change and Adaptation; Leadership Development; Leadership Style; Leading Change; Knowledge Use and Leverage; Knowledge Sharing; Collaborative Innovation and Invention; Innovation and Management; Innovation Leadership; Design; Interpersonal Communication; Accommodations Industry; Accounting Industry; Advertising Industry; Aerospace Industry; Agriculture and Agribusiness Industry; Air Transportation Industry; Apparel and Accessories Industry; Auto Industry; Banking Industry; Battery Industry; Beauty and Cosmetics Industry; Bicycle Industry; Biotechnology Industry; Chemical Industry; Communications Industry; Computer Industry; Construction Industry; Consulting Industry; Consumer Products Industry; Distribution Industry; Education Industry; Electronics Industry; Employment Industry; Energy Industry; Entertainment and Recreation Industry; Fashion Industry; Financial Services Industry; Fine Arts Industry; Food and Beverage Industry; Forest Products Industry; Forestry Industry; Green Technology Industry; Health Industry; Industrial Products Industry; Information Industry; Information Technology Industry; Insurance Industry; Journalism and News Industry; Legal Services Industry; Manufacturing Industry; Media and Broadcasting Industry; Medical Devices and Supplies Industry; Mining Industry; Motion Pictures and Video Industry; Motorcycle Industry; Music Industry; Pharmaceutical Industry; Public Administration Industry; Public Relations Industry; Publishing Industry; Pulp and Paper Industry; Rail Industry; Real Estate Industry; Retail Industry; Rubber Industry; Semiconductor Industry; Service Industry; Shipping Industry; Sports Industry; Steel Industry; Technology Industry; Telecommunications Industry; Tourism Industry; Transportation Industry; Travel Industry; Utilities Industry; Video Game Industry; Web Services Industry; Asia; North and Central America; South America; Atlantic Ocean; Central Asia; Europe; Latin America; Middle East; Oceania; West Indies
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Bernstein, Ethan. "Leadership and Teaming." Harvard Business School Background Note 414-033, September 2013. (Revised August 2015.)
  • 2020
  • Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Citation
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
  • 04 Sep 2001
  • Research & Ideas

Governing the Family-Run Business

right people in a timely way to discuss and decide the big issues facing your organization—then your governance system is flawed, should be improved, and probably needs to be made more formal. Given how difficult it is for most people to... View Details
  • 21 Oct 2015
  • Research & Ideas

How to Predict if a New Business Idea is Any Good

Operations Management unit at Harvard Business School. “They didn’t know it would turn out to be a multibillion dollar industry.” “By definition, when an investor makes an investment, it changes the probability of success” In a new... View Details
Keywords: by Michael Blanding; Accommodations; Financial Services
  • 23 Jun 2022
  • Research & Ideas

All Those Zoom Meetings May Boost Connection and Curb Loneliness

Americans are lonelier than ever—a problem the COVID-19 pandemic may have exacerbated. Could interactions on platforms like Zoom and Twitch come close to replicating the real-life contact people crave? New research suggests that’s more... View Details
Keywords: by Michael Blanding
  • January 1991 (Revised March 2010)
  • Case

Westchester Distributing, Inc. (A)

By: Robert L. Simons and Robert Boxwell
Focuses on the three-way interaction among internal controls, employee behavior, and incentives. Salesmen are illegally providing kickbacks to customers of this beer-distribution firm. In turn, salesmen are reimbursing themselves by filing fraudulent expense reports.... View Details
Keywords: Financial Reporting; Crime and Corruption; Corporate Governance; Governance Controls; Salesforce Management; Behavior; Motivation and Incentives; Distribution Industry; Food and Beverage Industry
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Simons, Robert L., and Robert Boxwell. "Westchester Distributing, Inc. (A)." Harvard Business School Case 191-118, January 1991. (Revised March 2010.)
  • February 1998 (Revised July 1998)
  • Case

Rob Parson at Morgan Stanley (A)

Rob Parson was a star producer in Morgan Stanley's Capital Markets division. He had been recruited from a competitor the prior year and had generated substantial revenues since joining the firm. Unfortunately, Parson's reviews from the 360-degree performance evaluation... View Details
Keywords: Management; Personal Development and Career; Performance Evaluation; Financial Services Industry
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Burton, M. Diane. "Rob Parson at Morgan Stanley (A)." Harvard Business School Case 498-054, February 1998. (Revised July 1998.)
  • 21 Aug 2013
  • Research & Ideas

What Went Wrong at J.C. Penney?

home goods. It was particularly well known for home goods and children's ware. And once the family went there, they also shopped for men's and women's apparel, which accounted for almost half of sales. They had a very strong private label program, and to their credit,... View Details
Keywords: by Jim Aisner; Retail
  • 2025
  • Working Paper

The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling

By: Caleb Kwon, Antonio Moreno and Ananth Raman
Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
Keywords: AI and Machine Learning; Employees; Performance Effectiveness
Citation
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Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, January 2025.
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