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- News (104)
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- July 2021
- Article
Energy Efficiency and Electricity Reliability
By: Eliana Carranza and Robyn C. Meeks
Overloaded electrical systems are a major source of unreliable power. Using a randomized saturation design, we estimate the impact of compact fluorescent lamps (CFLs) on electricity reliability and household electricity consumption in the Kyrgyz Republic. Greater... View Details
Keywords: Energy; Technology Adoption; Green Technology; Consumer Behavior; Utilities Industry; Kyrgyzstan
Carranza, Eliana, and Robyn C. Meeks. "Energy Efficiency and Electricity Reliability." Review of Economics and Statistics 103, no. 3 (July 2021): 461–475.
- May 1961 (Revised April 1973)
- Case
Reliable Products Co. (B)
Thurston, Philip H. "Reliable Products Co. (B)." Harvard Business School Case 607-024, May 1961. (Revised April 1973.)
- January 1994 (Revised March 2000)
- Background Note
Notes on Reliability and Attitude Measurement
By: Alvin J. Silk
Silk, Alvin J. "Notes on Reliability and Attitude Measurement." Harvard Business School Background Note 594-087, January 1994. (Revised March 2000.)
- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by... View Details
Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption... View Details
Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- January 2012
- Case
DONG Energy: Clean and Reliable Energy
By: Joseph L. Bower and Elena Corsi
Bower, Joseph L., and Elena Corsi. "DONG Energy: Clean and Reliable Energy." Harvard Business School Case 312-108, January 2012.
- September 2021
- Article
Income More Reliably Predicts Frequent Than Intense Happiness
By: Jon M. Jachimowicz, Ruo Mo, Adam Eric Greenberg, Bertus Jeronimus and Ashley V. Whillans
There is widespread consensus that income and subjective well-being are linked, but when and why they are connected is subject to ongoing debate. We draw on prior research that distinguishes between the frequency and intensity of happiness to suggest that higher income... View Details
Jachimowicz, Jon M., Ruo Mo, Adam Eric Greenberg, Bertus Jeronimus, and Ashley V. Whillans. "Income More Reliably Predicts Frequent Than Intense Happiness." Social Psychological & Personality Science 12, no. 7 (September 2021): 1294–1306.
- 1999
- Chapter
Reliability in Measuring Market Orientation and Financial Performance in Transition Economies
By: R. Deshpande and J. U. Farley
- January 2025
- Technical Note
AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix
By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
- May 2015
- Article
Admitting Mistakes: Home Country Effect on the Reliability of Restatement Reporting
By: Suraj Srinivasan, Aida Sijamic Wahid and Gwen Yu
We study the frequency of restatements by foreign firms listed on U.S. exchanges. We find that the restatement rate of U.S. listed foreign firms is significantly lower than that of comparable U.S. firms and that the difference depends on the firm's home country... View Details
Keywords: Accounting Restatements; Home Country Enforcement; Earnings Management; Globalized Firms and Management; Law; Financial Reporting; Financial Markets; Cross-Cultural and Cross-Border Issues
Srinivasan, Suraj, Aida Sijamic Wahid, and Gwen Yu. "Admitting Mistakes: Home Country Effect on the Reliability of Restatement Reporting." Accounting Review 90, no. 3 (May 2015): 1201–1240.
- 08 Nov 2012
- Working Paper Summaries
Admitting Mistakes: Home Country Effect on the Reliability of Restatement Reporting
- 2015
- Chapter
Reliable Sustainability Ratings: The Influence of Business Models on Information Intermediaries
By: Robert G. Eccles, Jock Herron and George Serafeim
A new generation of corporate reporting—integrated reporting—is emerging that will help investors and other key stakeholders such as employees, customers, suppliers, and NGOs develop a deeper and more comprehensive appreciation of corporate performance than what is... View Details
Eccles, Robert G., Jock Herron, and George Serafeim. "Reliable Sustainability Ratings: The Influence of Business Models on Information Intermediaries." Chap. 48 in The Routledge Handbook of Responsible Investment, edited by Tessa Hebb, James Hawley, Andreas Hoepner, Agnes Neher, and David Wood. Routledge, 2015.
- 2019
- Working Paper
A Journal-Based Replication of 'Being Chosen to Lead'
By: Erik Snowberg, Allan Drazen, Anna Dreber and Erkut Y. Ozbay
Recent large-scale replications of social science experiments provide important information on the reliability of experimental research. Unfortunately, there exist no mechanisms to ensure replications are done. We propose such a mechanism: journal-based replication, in... View Details
Snowberg, Erik, Allan Drazen, Anna Dreber, and Erkut Y. Ozbay. "A Journal-Based Replication of 'Being Chosen to Lead'." Harvard Business School Working Paper, No. 20-064, November 2019.
- Article
Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information
By: Santiago Gallino and Antonio Moreno
Using a proprietary data set, we analyze the impact of the implementation of a “buy-online, pick-up-in-store” (BOPS) project. The implementation of this project is associated with a reduction in online sales and an increase in store sales and traffic. These results can... View Details
Keywords: Retail Operations; Inventory Availability; Empirical Operations Management; Business Analytics; Online Retail; Ecommerce; Operations; Management; Distribution Channels; Consumer Behavior; E-commerce; Retail Industry
Gallino, Santiago, and Antonio Moreno. "Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information." Management Science 60, no. 6 (June 2014): 1434–1451. (Finalist of Management Science Best Paper award in Operations Management.)
- 2024
- Working Paper
Lost in Transmission
By: Thomas Graeber, Shakked Noy and Christopher Roth
For many decisions, people rely on information received from others by word of mouth. How does the process of verbal transmission distort economic information? In our experiments, participants listen to audio recordings containing economic forecasts and are paid to... View Details
Keywords: Information Trnasmission; Word Of Mouth; Word-of-Mouth; Narratives; Reliability; Knowledge Sharing; Spoken Communication; Cognition and Thinking
Graeber, Thomas, Shakked Noy, and Christopher Roth. "Lost in Transmission." Harvard Business School Working Paper, No. 24-047, January 2024.
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- February 2013
- Article
Towards an Understanding of the Role of Standard Setters in Standard Setting
By: Abigail M. Allen and Karthik Ramanna
We investigate the effect of standard setters in standard setting: we examine how certain professional and political characteristics of FASB members and SEC commissioners predict the accounting "reliability" and "relevance" of proposed standards. Notably, we find FASB... View Details
Keywords: FASB; Politics; Relevance; Reliability; Standard Setting; Accounting; Standards; Fair Value Accounting; Government and Politics; Personal Characteristics
Allen, Abigail M., and Karthik Ramanna. "Towards an Understanding of the Role of Standard Setters in Standard Setting." Journal of Accounting & Economics 55, no. 1 (February 2013): 66–90. (Journal of Accounting & Economics Editors' Choice Article.)
- Article
Complementarity between Audited Financial Reporting and Voluntary Disclosure: The Case of Former Andersen Clients
By: Richard Frankel, Alon Kalay, Gil Sadka and Yuan Zou
Prior literature presents various perspectives on the role of financial reporting. One view is that mandatory periodic reporting disciplines managers and encourages timely voluntary disclosure. We examine this "confirmation hypothesis" using the shock to financial... View Details
Keywords: Financial Disclosure; Mandatory Reporting; Reliability; Voluntary Disclosure; Financial Reporting; Quality; Corporate Disclosure
Frankel, Richard, Alon Kalay, Gil Sadka, and Yuan Zou. "Complementarity between Audited Financial Reporting and Voluntary Disclosure: The Case of Former Andersen Clients." Accounting Review 96, no. 6 (November 2021): 215–238.
- February 10, 2023
- Article
The Case for Having a Boring CEO
CEOs who avoid the cameras and minimize drama offer valuable leadership lessons. Their lifestyles aren’t splashed on the pages of magazines. They don’t speak out on every public issue, and their pronouncements are balanced and cautious. Sometimes when I name them as my... View Details
Keywords: CEO; Leadership; Company Management; Personal Brand; Reliability; Humility; Public Opinion
Kanter, Rosabeth Moss. "The Case for Having a Boring CEO." Wall Street Journal (online) (February 10, 2023).