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- All HBS Web
(1,581)
- Faculty Publications (266)
- January 2018
- Case
Viacom: Democratization of Data Science
By: Shane Greenstein and Christine Snively
In two short years, Viacom’s Data Science & Advanced Analytics team built a web platform called Science Central that allowed employees from Viacom’s 20+ cable networks to access television audience insights through three data science apps. In the past, employees would... View Details
Keywords: Data Science; Big Data; Digital Platforms; Analytics and Data Science; Expansion; Strategic Planning
Greenstein, Shane, and Christine Snively. "Viacom: Democratization of Data Science." Harvard Business School Case 618-016, January 2018.
- January 2018 (Revised January 2019)
- Case
ZappRx
By: Jeffrey J. Bussgang and Olivia Hull
In October 2015, ZappRx founder Zoe Barry is deciding between two business models for her health technology start-up. Her product, a software application that aims to expedite the prescription fulfillment process for patients with rare diseases, has attracted interest... View Details
- January–February 2018
- Article
Ads That Don't Overstep: How to Make Sure You Don't Take Personalization Too Far
By: Leslie John, Tami Kim and Kate Barasz
Data gathered on the web has vastly enhanced the capabilities of marketers. With people regularly sharing personal details online and internet cookies tracking every click, companies can now gain unprecedented insight into individual consumers and target them with... View Details
John, Leslie, Tami Kim, and Kate Barasz. "Ads That Don't Overstep: How to Make Sure You Don't Take Personalization Too Far." Harvard Business Review 96, no. 1 (January–February 2018): 62–69.
- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Brands; Brand & Product Management; Big Data; "Marketing Analytics"; Consumer Behavior; Predictive Analytics; Forecasting; Preferences; Operation Management; Distribution Channels; Marketing; Marketing Channels; Marketing Strategy; Brands and Branding; Forecasting and Prediction; Data and Data Sets; Retail Industry; Fashion Industry; Apparel and Accessories Industry; United States; North America
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- Article
Channel Integration, Sales Dispersion, and Inventory Management
By: Santiago Gallino, Antonio Moreno and Ioannis Stamatopoulos
We study the effects of the introduction of cross-channel functionalities on the overall sales dispersion of retailers and the implications of these effects for inventory management. To do that, we analyze data from a leading U.S. retailer who introduced a... View Details
Keywords: Retail Operations; Online Retail; Channel Integration; Sales Dispersion; Long Tail; Empirical Operations; Inventory Management; Omnichannel Retail; Marketing Channels; Integration; Sales; Logistics; Operations; Management; Retail Industry
Gallino, Santiago, Antonio Moreno, and Ioannis Stamatopoulos. "Channel Integration, Sales Dispersion, and Inventory Management." Management Science 63, no. 9 (September 2017): 2813–2831.
- August 2017 (Revised August 2018)
- Case
Busbud: Building a Data Company
By: Srikant M. Datar, Alistair Croll and Caitlin N. Bowler
The case features the work of LP Maurice (HBS '08) as he decides to take on the fragmented bus travel industry and launch an online business that aggregates and shares bus schedules for routes around the world. His first challenge: finding that the data he needs is... View Details
Keywords: Data Science; Analytics and Data Science; Business Startups; Knowledge Acquisition; Customers; Measurement and Metrics; Transportation Industry
Datar, Srikant M., Alistair Croll, and Caitlin N. Bowler. "Busbud: Building a Data Company." Harvard Business School Case 118-011, August 2017. (Revised August 2018.)
- July 2017 (Revised November 2017)
- Case
Propel
By: Mitchell Weiss and Sarah McAra
In 2014, Jimmy Chen, a former product manager at Facebook, founded the start-up Propel to build software for low-income Americans. After conducting in-depth behavioral research, Chen and his small team in New York City began to develop technology to address the... View Details
Keywords: Public Entrepreneurship; Govtech; Food Stamps; EBT; Mobile App; User Research; Financial Services Referrals; Grocery Marketing; Customer Discovery; Social Entrepreneurship; Entrepreneurship; Public Sector; Business Model; Research; Social Enterprise; Poverty; Welfare; Mobile and Wireless Technology; Applications and Software; Technology Industry; United States
- May 2017 (Revised March 2018)
- Case
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Retailing; Preference Elicitation; Big Data; Predictive Analytics; Artificial Intelligence; Fashion; Marketing; Marketing Strategy; Marketing Channels; Brands and Branding; Consumer Behavior; Demand and Consumers; Analytics and Data Science; Forecasting and Prediction; E-commerce; Apparel and Accessories Industry; Consumer Products Industry; Fashion Industry; Retail Industry; United States; Canada; North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- 2018
- Working Paper
Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets
By: Chaithanya Bandi, Antonio Moreno, Donald Ngwe and Zhiji Xu
We investigate how dynamic pricing can lead to higher operational costs through more product returns in the online retail industry. Dynamic pricing has been widely applied by many online retailers. Research has shown that, in response to dynamic pricing, some customers... View Details
- Article
The Impact of Forward-Looking Metrics on Employee Decision-Making: The Case of Customer Lifetime Value
By: Pablo Casas-Arce, Asis Martinez Jerez and V.G. Narayanan
This paper analyzes the effects of forward-looking metrics on employee decision-making. We use data from a bank that started providing branch managers with the customer lifetime value (CLV)—an estimate of the future value of the customer relationship—of mortgage... View Details
Keywords: Customer Lifetime Value; Forward-looking Metrics; Employees; Decision Making; Information; Customer Value and Value Chain; Banks and Banking; Mortgages; Outcome or Result
Casas-Arce, Pablo, Asis Martinez Jerez, and V.G. Narayanan. "The Impact of Forward-Looking Metrics on Employee Decision-Making: The Case of Customer Lifetime Value." Accounting Review 92, no. 3 (May 2017): 31–56.
- 2017
- Working Paper
Why and How Investors Use ESG Information: Evidence from a Global Survey
Using survey data from a sample of senior investment professionals from mainstream (i.e., not SRI funds) investment organizations, we provide insights into why and how investors use reported environmental, social, and governance (ESG) information. The primary reason... View Details
Keywords: Investment Management; Sustainability; ESG; ESG (Environmental, Social, Governance) Performance; Investment Fund; Investment Strategy; Corporate Accountability; Activist Shareholder; Engagement; Environment; Climate Change; Customers; Customer Satisfaction; Employee Engagement; Global Warming; Investment; Decision Making; Environmental Sustainability; Performance Expectations
Serafeim, Georgios. "Why and How Investors Use ESG Information: Evidence from a Global Survey." Harvard Business School Working Paper, No. 17-079, February 2017.
- February 2017
- Case
Yemeksepeti: Growing and Expanding the Business Model through Data
By: William R. Kerr, Gamze Yucaoglu and Eren Kuzucu
In October 2016, Nevzat Aydin, co-founder and CEO of Yemeksepeti, the Turkish online food-ordering company, was looking over the company's quarterly results and projections for the upcoming year with his management team. It had been almost a year and a half since Aydin... View Details
Keywords: Entrepreneurial Management; Entrepreneurial Ventures; Turkey; Big Data; Customer Focused Organization; Service Management; Continuous Improvement; Data Analysis; Internet; Growth Strategy; Technological Change; Information Systems; Entrepreneurship; Corporate Strategy; Analytics and Data Science; Analysis; Customer Focus and Relationships; Emerging Markets; Service Operations; Competitive Advantage; Performance Improvement; Internet and the Web; Growth and Development Strategy; Information Technology; Value Creation; Food and Beverage Industry; Turkey
Kerr, William R., Gamze Yucaoglu, and Eren Kuzucu. "Yemeksepeti: Growing and Expanding the Business Model through Data." Harvard Business School Case 817-095, February 2017.
- February 2017
- Article
Resident Networks and Corporate Connections: Evidence from World War II Internment Camps
By: Lauren Cohen, Umit Gurun and Christopher J. Malloy
We demonstrate that simply by using the ethnic makeup surrounding a firm’s location, we can predict, on average, which trade links are valuable for firms. Using customs and port authority data on the international shipments of all U.S. publicly traded firms, we show... View Details
Keywords: Information Networks; Trade Links; Firm Behavior; Networks; Geographic Location; Ethnicity; Organizations; Trade
Cohen, Lauren, Umit Gurun, and Christopher J. Malloy. "Resident Networks and Corporate Connections: Evidence from World War II Internment Camps." Journal of Finance 72, no. 1 (February 2017): 207–248. (Winner of First Prize, the Inaugural Hakan Orbay Research Award, 2015.)
- Article
One Obstacle to Curing Cancer: Patient Data Isn't Shared
By: Richard G. Hamermesh and Kathy Giusti
Precision Medicine requires large datasets to identify the mutations that lead to various cancers. Currently, genomic information is hoarded in fragmented silos within numerous academic medical centers, pharmaceutical companies, and some disease-based foundations. For... View Details
Keywords: Healthcare; Technological And Scientific Innovation; Cancer Care In The U.S.; Cancer Treatment; Precision Medicine; Personalized Medicine; Data Sharing; Technological Innovation; Analytics and Data Science; Health Disorders; Medical Specialties; Research and Development; Customization and Personalization; Health Industry; United States
Hamermesh, Richard G., and Kathy Giusti. "One Obstacle to Curing Cancer: Patient Data Isn't Shared." Harvard Business Review (website) (November 28, 2016).
- November 2016 (Revised November 2016)
- Case
Radial Analytics Probes Post-Acute Care
By: Richard G. Hamermesh and Olivia Hull
Thaddeus Fulford-Jones and Eric Weiss, founders of healthcare technology startup Radial Analytics, have been busy developing a software program designed to save hospitals money and improve patient outcomes by producing customized care plans for patients leaving the... View Details
Keywords: Electronic Medical Records; Electronic Health Records; Data Science; Entrepreneurship; Health Care and Treatment; Business Model; Business Startups; Innovation and Invention; Growth Management; Marketing Strategy; Product Launch; Product Positioning; Science-Based Business; Business Strategy; Health Industry; Technology Industry; Cambridge; Massachusetts
Hamermesh, Richard G., and Olivia Hull. "Radial Analytics Probes Post-Acute Care." Harvard Business School Case 817-029, November 2016. (Revised November 2016.)
- September 2016 (Revised October 2016)
- Technical Note
Internet Data Capping Note
By: Shane Greenstein, Lisa Cox and Christine Snively
In April 2016, U.S. federal regulators approved Charter Communications’ acquisition of Time Warner Cable (TWC). The Department of Justice (DoJ) and Federal Communications Commission (FCC), however, stipulated that the new company could not apply data caps or introduce... View Details
- June 2016
- Teaching Note
HubSpot: Lower Churn through Greater CHI
By: Jill Avery, Asis Martinez Jerez and Thomas Steenburgh
HubSpot, a web marketing startup selling inbound marketing software to small- and medium-sized businesses, is under pressure from its venture capital partners to rapidly acquire new customers and to maintain a low level of customer churn. The B2B SaaS company is in the... View Details
- 2019
- Working Paper
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; Customer Relationship Management; Service Operations; Customer Satisfaction; Banking Industry; Retail Industry
Buell, Ryan W., Dennis Campbell, and Frances X. Frei. "The Customer May Not Always Be Right: Customer Compatibility and Service Performance." Harvard Business School Working Paper, No. 16-091, February 2016. (Revised December 2019.)
- Article
The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment
By: Eva Ascarza, Raghuram Iyengar and Martin Schleicher
Facing the issue of increasing customer churn, many service firms have begun recommending pricing plans to their customers. One reason behind this type of retention campaign is that customers who subscribe to a plan suitable for them should be less likely to churn... View Details
Keywords: Churn/retention; Field Experiment; Pricing; Tariff/plan Choice; Targeting; Customer Relationship Management; Price; Performance Effectiveness
Ascarza, Eva, Raghuram Iyengar, and Martin Schleicher. "The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment." Journal of Marketing Research (JMR) 53, no. 1 (February 2016): 46–60.