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- Faculty Publications (411)
- 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
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.
- September 2021 (Revised December 2021)
- Case
Telepass: From Tolling to Mobility Platform
By: Chiara Farronato, Stefano Denicolai and Sarah Mehta
Telepass, until very recently the sole processor of electronic toll payments on Italy’s highways, has ambitions beyond tolling. Since the mid-2010s, the company has been expanding into adjacent services. In 2017, Telepass launched TelepassPay—a mobile payment... View Details
Keywords: Mobile Payment; App; Mobility Services; Analysis; Change; Change Management; Transformation; Transition; Innovation and Invention; Strategy; Information Technology; Mobile and Wireless Technology; Transportation; Transportation Networks; Value; Value Creation; Consumer Behavior; Technology Industry; Transportation Industry; Insurance Industry; Europe; Italy; Milan
Farronato, Chiara, Stefano Denicolai, and Sarah Mehta. "Telepass: From Tolling to Mobility Platform." Harvard Business School Case 622-011, September 2021. (Revised December 2021.)
- September 2021 (Revised December 2021)
- Case
Telepass: From Tolling to Mobility Platform (Abridged)
By: Chiara Farronato, Stefano Denicolai and Sarah Mehta
Telepass, until very recently the sole processor of electronic toll payments on Italy’s highways, has ambitions beyond tolling. Since the mid-2010s, the company has been expanding into adjacent services. In 2017, Telepass launched TelepassPay—a mobile payment... View Details
Keywords: Mobile Payment; App; Mobility Services; Analysis; Change; Change Management; Transformation; Transition; Innovation and Invention; Strategy; Information Technology; Mobile and Wireless Technology; Transportation; Transportation Networks; Value; Value Creation; Technology Industry; Transportation Industry; Insurance Industry; Europe; Italy; Milan
Farronato, Chiara, Stefano Denicolai, and Sarah Mehta. "Telepass: From Tolling to Mobility Platform (Abridged)." Harvard Business School Case 622-050, September 2021. (Revised December 2021.)
- 2021
- Working Paper
Expanding the Entrepreneurial Cultural Toolkit: The Temporal Interplay of the Substantive and the Symbolic
By: Rebecca Karp and Siobhan O'Mahony
Much research shows how entrepreneurs leverage symbolic toolkits via storytelling and narratives to convince resource providers of their venture’s legitimacy. Although investors’ legitimacy concerns may be initially met with symbolic actions, it is unclear whether... View Details
- August 2021 (Revised February 2024)
- Case
Data Science at the Warriors
By: Iavor I. Bojinov and Michael Parzen
The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details
Keywords: Data Science; Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Sports Industry; San Francisco; United States
Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021. (Revised February 2024.)
- 2021
- Working Paper
Dirty Money: How Banks Influence Financial Crime
By: Joseph Pacelli, Janet Gao, Jan Schneemeier and Yufeng Wu
On September 21st, 2020, a consortium of international journalists leaked nearly 2,500 suspicious activity reports (SAR) obtained from the U.S. Financial Crimes Enforcement Network, exposing nearly $2 trillion of money laundering activity. The event raises important... View Details
Pacelli, Joseph, Janet Gao, Jan Schneemeier, and Yufeng Wu. "Dirty Money: How Banks Influence Financial Crime." Working Paper, July 2021.
- July 2021
- Article
Information Transparency, Multihoming, and Platform Competition: A Natural Experiment in the Daily Deals Market
By: Hui Li and Feng Zhu
Platform competition is shaped by the likelihood of multi-homing (i.e., complementors or consumers adopt more than one platform). To take advantage of multi-homing, platform firms often attempt to motivate their rivals’ high-performing complementors to adopt their own... View Details
Keywords: Platform Competition; Multi-homing; Information Transparency; Daily Deals; Groupon; LivingSocial; Digital Platforms; Information; Competition
Li, Hui, and Feng Zhu. "Information Transparency, Multihoming, and Platform Competition: A Natural Experiment in the Daily Deals Market." Management Science 67, no. 7 (July 2021): 4384–4407.
- 2021
- Working Paper
Impact Accounting for Product Use: A Framework and Industry-specific Models
By: George Serafeim and Katie Trinh
This handbook provides the first systematic attempt to generate a framework and industry-specific models for the measurement of impacts on customers and the environment from use of products and services, in monetary terms, that can then be reflected in financial... View Details
Keywords: Impact Measurement; Product Impact; Customer Welfare; Environment; ESG; Product; Customers; Well-being; Environmental Sustainability; Measurement and Metrics; Accounting; Financial Statements; Analysis; Framework
Serafeim, George, and Katie Trinh. "Impact Accounting for Product Use: A Framework and Industry-specific Models." Harvard Business School Working Paper, No. 21-141, June 2021.
- May 2021
- Simulation
Customer Compatibility Exercise Application
By: Ryan W. Buell
Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort... View Details
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- April 2021
- Case
Buy Online, Pickup in Store: Evaluating an Omnichannel Intervention in Retail
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In October 2018, fashion, wellness, and beauty retailer Sylvarella implemented a Buy Online, Pickup in Store (BOPS) program in an attempt to counteract a sales decline. While BOPS had the potential to meet customer expectations for a seamless order and fulfillment... View Details
Keywords: Operations; Service Delivery; Logistics; Infrastructure; Distribution Channels; Order Taking and Fulfillment; Analysis; Retail Industry; Apparel and Accessories Industry; United States; Canada
Moreno, Antonio, Santiago Gallino, and Amy Klopfenstein. "Buy Online, Pickup in Store: Evaluating an Omnichannel Intervention in Retail." Harvard Business School Case 621-103, April 2021.
- April 2021
- Supplement
Buy Online, Pickup in Store: Vice President of Store Operations Supplement
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In April 2019, Sylvarella VP of Store Operations Axley Vega must review an analysis of her department’s sales data to determine the impact of the company’s Buy Online, Pickup in Store (BOPS) program. BOPS implementation created significant problems for the store... View Details
Keywords: Operations; Service Delivery; Logistics; Infrastructure; Distribution Channels; Order Taking and Fulfillment; Analysis; Retail Industry; Apparel and Accessories Industry; United States; Canada
Moreno, Antonio, Santiago Gallino, and Amy Klopfenstein. "Buy Online, Pickup in Store: Vice President of Store Operations Supplement." Harvard Business School Supplement 621-105, April 2021.
- April 2021 (Revised March 2024)
- Case
Social Media War 2021: Snap vs. Facebook vs. TikTok
By: David B. Yoffie and Daniel Fisher
This case explores the competitive war between Snap, Facebook, and TikTok in 2021. The strategic focus is on Snapchat: how should it respond to the emergence of TikTok, and how should it compete with the dominant competitor in its space—Facebook. The case examines... View Details
Keywords: Strategy Development; Competitor Analysis; Strategy; Network Effects; Competitive Strategy; Decision Choices and Conditions; Social Media
Yoffie, David B., and Daniel Fisher. "Social Media War 2021: Snap vs. Facebook vs. TikTok." Harvard Business School Case 721-443, April 2021. (Revised March 2024.)
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to 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... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
- March 17, 2021
- Other Article
Beyond Pajamas: Sizing Up the Pandemic Shopper
By: Ayelet Israeli, Eva Ascarza and Laura Castrillo
A first look at how the COVID-19 pandemic impacted e-commerce apparel shopping in the US and the UK. Extensive analysis and interactive graphics utilizing millions of transactions.
While the pandemic is still playing out, our preliminary investigations... View Details
While the pandemic is still playing out, our preliminary investigations... View Details
Keywords: Retail; Retail Analytics; Consumer; Pandemic; COVID; COVID-19; Apparel; Ecommerce; Online Shopping; Online Apparel; Online Sales; Returns; CRM; Customer Retention; Customer Experience; Customer Value; Digital; Customer Focus and Relationships; Customers; Health Pandemics; Consumer Behavior; Customer Relationship Management; Internet and the Web; Behavior; E-commerce; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States; United Kingdom
Israeli, Ayelet, Eva Ascarza, and Laura Castrillo. "Beyond Pajamas: Sizing Up the Pandemic Shopper." Harvard Business School Working Knowledge (March 17, 2021).
- March 2021 (Revised August 2022)
- Case
Seeding and Selling Asana
By: Jeffrey F. Rayport, Susie Ma and Amram Migdal
In December 2019, Oliver Jay, Asana’s Chief Revenue Officer (CRO), was reconsidering his go-to-market (GTM) strategy. Asana was cloud-based work management software that enabled users to break up projects into discrete tasks that could be assigned, scheduled, and... View Details
Keywords: SaaS; Customer Journey; Business Model; Business Organization; Change Management; Growth and Development Strategy; Growth Management; Marketing Channels; Marketing Strategy; Product Marketing; Organizational Change and Adaptation; Organizational Design; Organizational Structure; Digital Platforms; Internet and the Web; Technology Industry; United States
Rayport, Jeffrey F., Susie Ma, and Amram Migdal. "Seeding and Selling Asana." Harvard Business School Case 821-054, March 2021. (Revised August 2022.)
- March 2021 (Revised July 2021)
- Case
Resident
By: Jeffrey F. Rayport and Thomas O. Jones
Launched in 2016, Resident was a leading player in the direct-to-consumer bed-in-a-box mattress market, where it was one of at least 175 venture-backed companies competing in the space. By late 2020, it had realized over $500 million in revenue, profitability in the... View Details
Keywords: Digital Marketing; Business Growth and Maturation; Operations; Entrepreneurship; Competitive Strategy; Initial Public Offering; Decisions; Marketing Strategy; Cash Flow; Demand and Consumers
Rayport, Jeffrey F., and Thomas O. Jones. "Resident." Harvard Business School Case 821-090, March 2021. (Revised July 2021.)
- March 2021
- Article
Last Place Aversion in Queues
By: Ryan W. Buell
This paper documents the effects of last place aversion in queues and its implications for customer experiences and behaviors as well as for operating performance. An observational analysis of customers queuing at a grocery store, and four online studies in which... View Details
Keywords: Behavioral Operations; Queues; Reference Effects; Last Place Aversion; Transparency; Customers; Behavior; Satisfaction; Service Operations
Buell, Ryan W. "Last Place Aversion in Queues." Management Science 67, no. 3 (March 2021): 1430–1452.
- March 2021
- Article
The Customer May Not Always Be Right: Customer Compatibility and Service Performance
This paper investigates the impact of customer compatibility – the degree of fit between the needs of customers and the capabilities of the operations serving them – on customer experiences and firm performance. We use a variance decomposition analysis to quantify the... View Details
Keywords: Customer Compatibility; Satisfaction; Profitability; Service Operations; Customer Relationship Management; Customer Satisfaction; Performance
Buell, Ryan W., Dennis Campbell, and Frances X. Frei. "The Customer May Not Always Be Right: Customer Compatibility and Service Performance." Management Science 67, no. 3 (March 2021): 1468–1488.
- February 2021
- Background Note
Jobs to Be Done: A Toolbox
By: Derek C. M. van Bever, Bob Moesta, Iuliana Mogosanu, Shaye Roseman and Katie Zandbergen
The Jobs to Be Done methodology is both a theory and a practical approach for understanding customer behavior and why people make the choices they make. Many practitioners, whether they work for startups or incumbent businesses, find Jobs to Be Done useful because it... View Details
Keywords: Customer Value and Value Chain; Decision Choices and Conditions; Knowledge Acquisition; Attitudes; Perception; Theory; Behavior; Customer Relationship Management
van Bever, Derek C. M., Bob Moesta, Iuliana Mogosanu, Shaye Roseman, and Katie Zandbergen. "Jobs to Be Done: A Toolbox." Harvard Business School Background Note 321-095, February 2021.