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Show Results For
- All HBS Web
(1,179)
- News (244)
- Research (680)
- Events (17)
- Multimedia (2)
- Faculty Publications (240)
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- January 2021 (Revised March 2022)
- Case
Arçelik: From a Dealer Network to an Omnichannel Experience
By: Ayelet Israeli and Fares Khrais
Arçelik Turkey, the country’s market leader in household appliances, was at an omnichannel crossroads in January 2020. Arçelik was a B2B player utilizing a dealership network with an umbrella of brands and had one of the largest brick-and-mortar store networks in... View Details
Keywords: Digital Marketing; Bricks And Mortar; Franchise Management; Franchising; Dealer Network; Dealers; B2B; B2B2C; Tradition; Culture Change; Cultural Adaptation; Omnichannel; Omnichannel Retail; Omni-channel; Omnichannel Retailing; Sales Channels; Sales Channel Development; Channel Management; Channels Of Distribution; Marketplace; Platforms; Collaboration; Online Channel; Online Data; Online Sales; Online Shopping; Online; Retail; Retailing; Disruption; Transformation; Franchise Ownership; Change Management; Partners and Partnerships; Consumer Behavior; Sales; Internet and the Web; Marketing Strategy; Conflict and Resolution; Conflict Management; Organizational Culture; Distribution Channels; Digital Transformation; Digital Platforms; Electronics Industry; Retail Industry; Consumer Products Industry; Turkey
Israeli, Ayelet, and Fares Khrais. "Arçelik: From a Dealer Network to an Omnichannel Experience." Harvard Business School Case 521-067, January 2021. (Revised March 2022.)
- July 2023
- Article
So, Who Likes You? Evidence from a Randomized Field Experiment
By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
- 06 Mar 2020
- Working Paper Summaries
Consumer Protection in an Online World: An Analysis of Occupational Licensing
- May–June 2024
- Article
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Organization Science 35, no. 3 (May–June 2024): 911–927.
- 2023
- Working Paper
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
- December 2009
- Article
Who Owns Metrics?: Building a Bill of Rights for Online Advertisers
By: Benjamin Edelman
I offer five rights to protect advertisers from increasingly powerful ad networks-avoiding fraudulent charges for services not rendered, guaranteeing data portability so advertisers get the best possible value, and assuring price transparency so advertisers know what... View Details
Keywords: Online Advertising; Crime and Corruption; Price; Measurement and Metrics; Technology Networks; Value; Advertising Industry
Edelman, Benjamin. "Who Owns Metrics?: Building a Bill of Rights for Online Advertisers." Journal of Advertising Research 49, no. 4 (December 2009). (Adapted from Towards a Bill of Rights for Online Advertisers.)
- February 2021
- Tutorial
Getting Started in RStudio Cloud
By: Chiara Farronato and Caleb Kwon
This video provides an introduction to the free programming language R using an online cloud version of RStudio, which is the most popular editor and interface for writing and executing R code. The video begins by providing a brief background of R and RStudio and... View Details
- 12 Aug 2008
- Op-Ed
Google-Yahoo Ad Deal is Bad for Online Advertising
The Subcommittee: My name is Benjamin Edelman. I am an assistant professor at the Harvard Business School, where my research focuses on the design of electronic marketplaces, including designing online marketplaces to assure safety,... View Details
- 2021
- Article
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
Sühr, Tom, Sophie Hilgard, and Himabindu Lakkaraju. "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
- 2023
- Working Paper
Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks
By: Shelley Xin Li, Frank Nagle and Aner Zhou
Organization-level networks facilitate the flow of information and business activities in the
economy. Prior research relies solely on high-level connections to measure these networks. Therefore, to
understand the role of employee connections at all job levels in... View Details
Keywords: Networks; Value; Social and Collaborative Networks; Innovation and Invention; Knowledge Sharing; Employees; Social Media
Li, Shelley Xin, Frank Nagle, and Aner Zhou. "Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks." Harvard Business School Working Paper, No. 24-010, August 2023.
- Forthcoming
- Article
Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment
By: Shunyuan Zhang and Das Narayandas
We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details
- November–December 2023
- Article
Look the Part? The Role of Profile Pictures in Online Labor Markets
By: Isamar Troncoso and Lan Luo
Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"... View Details
Keywords: Freelancers; Gig Workers; Demographics; Prejudice and Bias; Selection and Staffing; Jobs and Positions; Analytics and Data Science
Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science 42, no. 6 (November–December 2023): 1080–1100.
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- March–April 2020
- Article
Building A Culture of Experimentation
By: Stefan Thomke
Why don’t organizations test more? After examining this question for several years, I can tell you that the central reason is culture. As companies try to scale up their experimentation capacity, they often find that the obstacles are not tools and technology but... View Details
Keywords: Experimentation; Culture; Innovation; Online; Customer Experience; Organizational Culture; Innovation and Invention; Internet and the Web; Attitudes; Decision Making; Change; Leadership
Thomke, Stefan. "Building A Culture of Experimentation." Harvard Business Review 98, no. 2 (March–April 2020): 40–48.
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli
Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Optimization; Analytics and Data Science; Analysis; Customer Value and Value Chain; Marketing Channels; E-commerce; Retail Industry; Consumer Products Industry; United States
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (C): Free Delivery Terms
By: Ayelet Israeli
Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Optimization; Analytics and Data Science; Analysis; Customer Value and Value Chain; Marketing Channels; E-commerce; Retail Industry; Consumer Products Industry; United States
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Analytics and Data Science; Analysis; Sales; Goods and Commodities; Retail Industry; Consumer Products Industry; United States
- July 2022
- Teaching Note
Arçelik (A), (B): From a Dealer Network to an Omnichannel Experience
By: Ayelet Israeli, Fares Khrais and Menna Hassan
Arçelik Turkey, the country’s market leader in household appliances, was at an omnichannel crossroads in January 2020. Arçelik was a B2B player utilizing a dealership network with an umbrella of brands and had one of the largest brick-and-mortar store networks in... View Details
Keywords: Digital Marketing; Bricks And Mortar; Franchise Management; Franchising; Dealer Network; Dealers; B2B; B2B2C; Tradition; Culture Change; Cultural Adaptation; Omnichannel; Omnichannel Retail; Omni-channel; Omnichannel Retailing; Sales Channels; Sales Channel Development; Channel Management; Channels Of Distribution; Marketplace; Platforms; Collaboration; Online Channel; Online Data; Online Sales; Online Shopping; Online; Retail; Retailing; Disruption; Transformation; Franchise Ownership; Change Management; Partners and Partnerships; Consumer Behavior; Sales; Internet and the Web; Marketing Strategy; Conflict and Resolution; Conflict Management; Organizational Culture; Distribution Channels; Digital Transformation; Electronics Industry; Retail Industry; Consumer Products Industry; Turkey
- April 2015 (Revised March 2017)
- Case
Instacart and the New Wave of Grocery Startups
By: John Deighton and Leora Kornfeld
Instacart is testing an Uber-style solution to the challenge of building a home-delivered grocery business. It is backed by $220 million of venture funding. Will this model succeed where businessses like Webvan failed? What are the questions that this exploratory... View Details
Keywords: Food Retailing; Outsourced Grocery Delivery; Online Ordering; Dynamic Pricing; Data Analytics; Marketing Strategy; Food; Distribution Channels; Business Startups; Food and Beverage Industry; California
Deighton, John, and Leora Kornfeld. "Instacart and the New Wave of Grocery Startups." Harvard Business School Case 515-089, April 2015. (Revised March 2017.)
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)