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Show Results For
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All HBS Web
(3,258)
- People (1)
- News (535)
- Research (2,239)
- Events (26)
- Multimedia (9)
- Faculty Publications (1,110)
- January 2004 (Revised February 2005)
- Background Note
A Note on Methodological Fit in Management Field Research
By: Amy C. Edmondson and Stacy McManus
To use in doctoral-level management courses on the design of field research methods. Advocates the importance of fit, or internal consistency, among the different elements of a field research project. Although the scientific method provides an essential framework for...
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Edmondson, Amy C., and Stacy McManus. "A Note on Methodological Fit in Management Field Research." Harvard Business School Background Note 604-072, January 2004. (Revised February 2005.)
- 17 Feb 2003
- Research & Ideas
Rating Fund Managers by the Company They Keep
sets affected the way fund managers can be evaluated now and in the future? Can the data sets help fund managers make investment decisions? A: In the last five years there has...
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Keywords:
by Ann Cullen
- 05 Dec 2007
- Sharpening Your Skills
Sharpening Your Skills: Managing Marketing
merchant's direct channel sales after she opens a retail store in the area. The study used a proprietary longitudinal data set from a multichannel retailer to understand what happens and to probe the implications for channel View Details
- May 1990 (Revised September 1994)
- Background Note
Note on Financial Reporting Strategy and Analysis When Managers Have Proprietary Information
Provides a framework that helps explain these real-world observations about accounting and financial statement analysis. When managers have superior information on firms' strategies, and when investors suspect that managers have incentives not to fully disclose this...
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Palepu, Krishna G. "Note on Financial Reporting Strategy and Analysis When Managers Have Proprietary Information." Harvard Business School Background Note 190-188, May 1990. (Revised September 1994.)
- Web
Entrepreneurial Management Curriculum - Faculty & Research
Entrepreneurial Management Overview Faculty Curriculum Seminars & Conferences Awards & Honors Doctoral Students MBA Required Curriculum (FIRST YEAR) The Entrepreneurial Manager In order to “educate leaders...
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- 2011
- Other Unpublished Work
Functional Centralization and the Division of Labor in Management
By: Julie Wulf, Maria Guadalupe and Hongyi Li
This paper shows that the trend towards flatter hierarchies in large US firms since the mid-80's has been accompanied by increased centralization of activities at the top of the organization. In particular, the number of functional managers (e.g., Chief Financial...
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- August 2018 (Revised April 2019)
- Case
Chateau Winery (A): Unsupervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups...
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Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
- December 2022 (Revised February 2023)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher T. Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google...
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Keywords:
Data Mining;
Productivity;
Monitoring;
Data Analysis;
AI and Machine Learning;
Knowledge Management;
Operations;
Problems and Challenges;
Employee Relationship Management;
Information Technology Industry;
Technology Industry;
Information Industry;
Boston;
Israel
Stanton, Christopher T., and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised February 2023.)
- Web
Technology & Operations Management - Faculty & Research
Technology & Operations Management Overview Faculty Curriculum Seminars & Conferences Awards & Honors Doctoral Students September 20, 2024 Article It’s Time to Unbundle ESG By: Aaron K. Chatterji and Michael W. Toffel ESG is at an...
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- 21 Sep 2016
- HBS Seminar
Catherine Tucker, MIT Sloan School of Management
- 06 Jul 2020
- Research & Ideas
The Right Way to Manage Customer Churn for Maximum Profit
the example of an online retailer who suddenly sees a monthly shopper stop buying for two months. “Customers just stop using the service but don’t have to tell the company.” In order to manage churn, companies typically use machine...
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- 26 Jan 2015
- Research & Ideas
National Health Costs Could Decrease if Managers Reduce Work Stress
pressure, alcoholism, mental illness. Even so, the connections between job pressures and health—and what management can do to address the problem—have been little studied. “We have not placed a lot of emphasis on the role of workplace...
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- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a...
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Keywords:
Machine Learning;
Theory Building;
Induction;
Decision Trees;
Random Forests;
K-nearest Neighbors;
Neural Network;
P-hacking;
Analytics and Data Science;
Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- 22 Jul 2013
- Sharpening Your Skills
Sharpening Your Skills: Meeting Management Challenges in India
resident—some 1.2 billion people—by 2020. In a new case, Professor Tarun Khanna and HBS India Research Center Executive Director Anjali Raina discuss the complexities of this massive data management project....
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Keywords:
Re: Tarun Khanna & Rohit Deshpande
- 2016
- Book
Managing in the Gray: Five Timeless Questions for Resolving Your Toughest Problems at Work
Part of a manager's job is making tough calls, and the hardest challenge can be resolving "gray area” problems—situations in which analysis of the numbers, facts, and data fails to provide a clear answer. Gray areas test not only managers’ skills but also their...
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Badaracco, Joseph L. Managing in the Gray: Five Timeless Questions for Resolving Your Toughest Problems at Work. Harvard Business Review Press, 2016.
- August 2022
- Supplement
Zalora: Data-Driven Pricing Recommendations
By: Ayelet Israeli
This exercise can be used in conjunction with the main case "Zalora: Data-Driven Pricing" to facilitate class discussion without requiring data analysis from the students. Instead, the exercise presents reports that were created by the data science team to answer the...
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Keywords:
Pricing;
Pricing Algorithms;
Dynamic Pricing;
Ecommerce;
Pricing Strategy;
Pricing And Revenue Management;
Apparel;
Singapore;
Startup;
Demand Estimation;
Data Analysis;
Data Analytics;
Exercise;
Price;
Internet and the Web;
Apparel and Accessories Industry;
Retail Industry;
Fashion Industry;
Singapore
Israeli, Ayelet. "Zalora: Data-Driven Pricing Recommendations." Harvard Business School Supplement 523-032, August 2022.
- Article
The Decreasing Value of Our Research to Management Education
By: Jone L. Pearce and Laura Huang
For centuries we have expected the best teachers also to be scholars. The practice of scholarship should do more than make scholars more humble teachers; scholarship is expected to be more than an activity done for its own sake. Here we present evidence that our...
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Pearce, Jone L., and Laura Huang. "The Decreasing Value of Our Research to Management Education." Academy of Management Learning & Education 11, no. 2 (June 2012): 247–262.
- 03 Feb 2014
- Research & Ideas
The Tricky Business of Managing Web Advertising Affiliates
outside manager, the merchant should be clear on what practices the program will permit and to not assume outsourced managers will always act in the merchant's best interest. ("Quite the contrary, our data...
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