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- April 2014
- Tutorial
Conjoint Analysis: Online Tutorial
By: Elie Ofek and Olivier Toubia
The Conjoint Analysis: Online Tutorial is an interactive pedagogical vehicle intended to facilitate understanding of one of the most popular market research methods in academia and practice, namely conjoint analysis. The aim is to provide students or executives going... View Details
- August 2014
- Technical Note
Conjoint Analysis: A Do it Yourself Guide
By: Elie Ofek and Olivier Toubia
Conjoint Analysis has become one of the most commonly used quantitative market research methods. It has been successfully employed across a wide variety of industries to quantify consumer preferences for products and services. This technical note is intended to provide... View Details
Keywords: Market Research; Conjoint Analysis; Consumer Preferences; Segmentation; Product Development; Demand Measurement; Demand and Consumers; Analysis; Markets
Ofek, Elie, and Olivier Toubia. "Conjoint Analysis: A Do it Yourself Guide." Harvard Business School Technical Note 515-024, August 2014.
- June 2015
- Teaching Note
Marketing Exercise: Using Conjoint Analysis for Business Decisions
By: Elie Ofek and Olivier Toubia
Keywords: Marketing
- June 2015
- Tutorial
Marketing Exercise: Using Conjoint Analysis for Business Decisions
By: E. Ofek and Olivier Toubia
- May 1990
- Background Note
Conjoint Analysis: A Manager's Guide
By: Robert J. Dolan
Presents a non-technical description of the conjoint analysis methodology. Discusses the process by which such a study is done and cites areas of application. View Details
Dolan, Robert J. "Conjoint Analysis: A Manager's Guide." Harvard Business School Background Note 590-059, May 1990.
- April 2014
- Teaching Note
Conjoint Analysis: Online Tutorial
By: Elie Ofek and Olivier Toubia
This teaching note is intended to assist instructors who plan to use the Conjoint Analysis: Online Tutorial (514-712) as part of a course or program of study. Pedagogically, the teaching note provides an overview of the Conjoint Analysis: Online Tutorial, the key... View Details
- 16 Aug 2010
- Lessons from the Classroom
HBS Introduces Marketing Analysis Tools for Managers
marketing decision-making. These could include marketing research concepts such as conjoint analysis and perceptual mapping, and brand analysis techniques such as calculating... View Details
Keywords: by Sarah Jane Gilbert
- May 2017 (Revised January 2019)
- Teaching Note
Angie's List: Ratings Pioneer Turns 20
By: Ayelet Israeli and Robert J. Dolan
Teaching Note for HBS No. 517-016. View Details
- 2014
- Other Teaching and Training Material
Marketing Reading: Segmentation and Targeting
By: Sunil Gupta
This Reading introduces two of the integral parts of any marketing strategy: segmentation and targeting. It covers, first, all of the methods, techniques, and variables with which a business first uncovers the full range of its potential customers and then... View Details
Keywords: Behavioral Segmentation; Conjoint Analysis; Demographic Segmentation; Geographic Segmentation; Market Opportunities; Market Segmentation; Marketing; Marketing Strategy; Psychographic Segmentation; Unethical Marketing Practices; United States
Gupta, Sunil. "Marketing Reading: Segmentation and Targeting." Core Curriculum Readings Series. Boston: Harvard Business Publishing 8219, 2014.
- March 1992 (Revised June 1992)
- Background Note
Strategic Industry Model: Emergent Technologies
By: Robert J. Dolan
Describes computer model and output from conjoint analysis and perceptual mapping for product line planning. View Details
Dolan, Robert J. "Strategic Industry Model: Emergent Technologies." Harvard Business School Background Note 592-086, March 1992. (Revised June 1992.)
- March 1999 (Revised December 2001)
- Background Note
Analyzing Consumer Preferences
By: Robert J. Dolan
Presents a non-traditional description of the conjoint analysis methodology. Discusses the process by which a study is done and cites areas of application. View Details
Dolan, Robert J. "Analyzing Consumer Preferences." Harvard Business School Background Note 599-112, March 1999. (Revised December 2001.)
- September 2016 (Revised February 2017)
- Case
Angie's List: Ratings Pioneer Turns 20
By: Robert J. Dolan and Ayelet Israeli
In 1995, before people “googled” or “yelped,” Angela Hicks (HBS, 2000) was establishing her Angie’s List as a pioneer in the accumulation and dissemination of consumer rating information. Hicks focused on the home repair and maintenance market and, as she put it,... View Details
Keywords: Pricing; Pricing Strategy; Services; Product Line Management; Growth; Conjoint Analysis; Market Research; Freemium; Growth Strategy; Two Sided Markets; Ecommerce; Platform; Platform Business; Platform Businesses; Platform Strategy; Platforms; Platforms And Ecosystems; Business Model; Internet and the Web; Business Growth and Maturation; Growth and Development Strategy; Price; Strategy; Digital Platforms; E-commerce; Service Industry; United States
Dolan, Robert J., and Ayelet Israeli. "Angie's List: Ratings Pioneer Turns 20." Harvard Business School Case 517-016, September 2016. (Revised February 2017.)
- April 1990
- Case
Clark Material Handling Group-Overseas: Brazilian Product Strategy (A&B) (Condensed)
By: Robert J. Dolan
Assumes some knowledge of conjoint analysis. Permits analysis of basic results and dynamic market simulations in one class session. View Details
Dolan, Robert J. "Clark Material Handling Group-Overseas: Brazilian Product Strategy (A&B) (Condensed)." Harvard Business School Case 590-081, April 1990.
- November 2011 (Revised August 2012)
- Background Note
Customer Discovery and Validation for Entrepreneurs
By: Frank V. Cespedes, Thomas Eisenmann and Steven G. Blank
Provides practical guidelines for conducting market research to explore and validate demand for entrepreneurial offering. Explains how the research objectives of entrepreneurs might differ from those relevant to managers evaluating product or service offerings to... View Details
Cespedes, Frank V., Thomas Eisenmann, and Steven G. Blank. "Customer Discovery and Validation for Entrepreneurs." Harvard Business School Background Note 812-097, November 2011. (Revised August 2012.)
- February 2007 (Revised May 2008)
- Supplement
Bancaja: Developing Customer Intelligence (B)
In 1996, CEO Fernando Garcia Checa wanted to make customer analytics a part of Bancaja's new strategy. Bancaja, a savings bank based in Valencia, Spain, was expanding and wanted to exploit customer information to increase commercial effectiveness. At the same time, it... View Details
Keywords: Customer Relationship Management; Credit Cards; Analytics and Data Science; Knowledge Use and Leverage; Marketing Strategy; Banking Industry; Spain
Martinez-Jerez, Francisco de Asis, and Katherine Miller. "Bancaja: Developing Customer Intelligence (B)." Harvard Business School Supplement 107-066, February 2007. (Revised May 2008.)
- August 2022 (Revised June 2024)
- Exercise
How Should Netflix Add an Ad-Supported Tier?
By: Elie Ofek and Olivier Toubia
In the summer of 2022, it became clear that Netflix would introduce an ad-supported tier alongside its existing subscription plans in the near future. Speculation abounded as to the details of the new tier: How many minutes of advertising would it include? What picture... View Details
Keywords: Pricing; Television Industry; Price; Marketing Strategy; Digital Platforms; Customer Value and Value Chain; Competitive Strategy; Customer Satisfaction; Entertainment and Recreation Industry
Ofek, Elie, and Olivier Toubia. "How Should Netflix Add an Ad-Supported Tier?" Harvard Business School Exercise 523-033, August 2022. (Revised June 2024.)
- February 2007 (Revised May 2007)
- Case
Bancaja: Developing Customer Intelligence (A)
In 1996, CEO Fernando Garcia Checa wanted to make customer analytics a part of Bancaja's new strategy. Bancaja, a savings bank based in Valencia, Spain, was expanding and wanted to exploit customer information to increase commercial effectiveness. At the same time, it... View Details
Martinez-Jerez, Francisco de Asis, and Katherine Miller. "Bancaja: Developing Customer Intelligence (A)." Harvard Business School Case 107-055, February 2007. (Revised May 2007.)
- 2022
- Working Paper
Between Human Dignity and Security: Identifying Citizen and Elite Preferences and Concerns over Refugee Reception
By: Kristin Fabbe, Eleni Kyrkopoulou and Mara Vidali
Under what conditions do citizens and elites support the creation of migrant and refugee hosting facilities in their area, and what types of facilities do they prefer? What types of concerns underlay these preferences and how do they differ by ideology and elite... View Details
Fabbe, Kristin, Eleni Kyrkopoulou, and Mara Vidali. "Between Human Dignity and Security: Identifying Citizen and Elite Preferences and Concerns over Refugee Reception." Harvard Business School Working Paper, No. 23-026, November 2022.
- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
- Winter 2021
- Editorial
Introduction
This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the... View Details
Wheeler, Michael A. "Introduction." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 5–12.