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- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- Spring 2014
- Article
Leveraging Crowdsourced Peer-to-Peer Assessments to Enhance the Case Method of Learning
By: Jill Avery
Many marketing educators use the case method to help their students strengthen their decision-making skills. Rigorous class participation is essential to achieving learning objectives in case method learning. One challenge for case method instructors is the assessment... View Details
Avery, Jill. "Leveraging Crowdsourced Peer-to-Peer Assessments to Enhance the Case Method of Learning." Journal for Advancement of Marketing Education 22, no. 1 (Spring 2014): 1–15.
- 2022
- Article
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.
By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has... View Details
Keywords: Graph Neural Networks; Explanation Methods; Mathematical Methods; Framework; Theory; Analysis
Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- Article
Gathering Data for Archival, Field, Survey, and Experimental Accounting Research
By: Robert Bloomfield, Mark W. Nelson and Eugene F. Soltes
In the published proceedings of the first Journal of Accounting Research Conference, Vatter (1966) lamented that “Gathering direct and original facts is a tedious and difficult task, and it is not surprising that such work is avoided.” For the 50th JAR Conference,... View Details
Keywords: Archival; Data; Experiment; Empirical Methods; Field Study; Analytics and Data Science; Surveys; Financial Reporting
Bloomfield, Robert, Mark W. Nelson, and Eugene F. Soltes. "Gathering Data for Archival, Field, Survey, and Experimental Accounting Research." Journal of Accounting Research 54, no. 2 (May 2016): 341–395.
- Article
Pricing and Production Flexibility: An Empirical Analysis of the U.S. Automotive Industry
By: Antonio Moreno and Christian Terwiesch
We use a detailed data set from the U.S. auto industry spanning from 2002 to 2009 and a variety of econometric methods to characterize the relationship between the availability of production mix flexibility and firms’ use of responsive pricing. We find that production... View Details
Keywords: Empirical Operations Management; Flexibility; Pricing; Automotive Industry; Production; Price; Management; Analysis; Auto Industry; United States
Moreno, Antonio, and Christian Terwiesch. "Pricing and Production Flexibility: An Empirical Analysis of the U.S. Automotive Industry." Manufacturing & Service Operations Management 17, no. 4 (Fall 2015): 428–444.
- 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 more product returns in the online retail industry. Using detailed sales data of more than two million transactions from the Indian online retail market, where price promotions are very common, we document two types of... View Details
Keywords: Cash On Delivery; Dynamic Pricing; Online Retail; Payment Methods; Strategic Customer Behavior; Opportunistic Returns; Price; Policy; Consumer Behavior; Emerging Markets; Retail Industry
Bandi, Chaithanya, Antonio Moreno, Donald Ngwe, and Zhiji Xu. "Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets." Harvard Business School Working Paper, No. 19-030, September 2018.
- Article
How Much Is a Reduction of Your Customers' Wait Worth? An Empirical Study of the Fast-Food Drive-Thru Industry Based on Structural Estimation Methods
In many service industries, companies compete with each other on the basis of the waiting time their customers experience, along with other strategic instruments such as the price they charge for their service. The objective of this paper is to conduct an empirical... View Details
Keywords: Customer Satisfaction; Price; Service Delivery; Mathematical Methods; Competition; Food and Beverage Industry; Service Industry
Allon, Gad, Awi Federgruen, and Margaret P. Pierson. "How Much Is a Reduction of Your Customers' Wait Worth? An Empirical Study of the Fast-Food Drive-Thru Industry Based on Structural Estimation Methods ." Manufacturing & Service Operations Management 13, no. 4 (Fall 2011).
- April 2008
- Journal Article
Inventory Record Inaccuracy: An Empirical Analysis
By: Nicole DeHoratius and Ananth Raman
This study explores the systematic variation in inventory record inaccuracy (IRI) observed both within and across stores. Traditional inventory models, with a few exceptions, do not account for the existence of IRI and those that do treat record inaccuracy as random.... View Details
DeHoratius, Nicole, and Ananth Raman. "Inventory Record Inaccuracy: An Empirical Analysis." Management Science 54, no. 4 (April 2008).
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
- 2022
- Conference Presentation
Towards the Unification and Robustness of Post hoc Explanation Methods
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
Keywords: AI and Machine Learning
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
- 06 Jul 2017
- Working Paper Summaries
Do All Your Detailing Efforts Pay Off? Dynamic Panel Data Methods Revisited
- 2014
- Chapter
Building an Infrastructure for Empirical Research on Social Enterprise: Challenges and Opportunities
By: Matthew Lee, Julie Battilana and Ting Wang
Purpose: Despite the increase in empirical studies of social enterprise in management and organization research, the lack of a cohesive knowledge base in this area is concerning. In this chapter, we propose that the underdevelopment of the attendant research... View Details
Keywords: Social Entrepreneurship
Lee, Matthew, Julie Battilana, and Ting Wang. "Building an Infrastructure for Empirical Research on Social Enterprise: Challenges and Opportunities." In Social Entrepreneurship and Research Methods. Vol. 9, edited by Jeremy C. Short, David J. Ketchen, and Donald D. Bergh, 241–264. Research Methodology in Strategy and Management. Emerald Group Publishing, 2014.
- Article
Valuation Waves and Merger Activity: The Empirical Evidence
By: Matthew Rhodes-Kropf, David Robinson and S. Viswanathan
To test recent theories suggesting that valuation errors affect merger activity, we develop a decomposition that breaks the market-to-book ratio (M/B) into three components: the firm-specific pricing deviation from short-run industry pricing; sector-wide, short-run... View Details
Rhodes-Kropf, Matthew, David Robinson, and S. Viswanathan. "Valuation Waves and Merger Activity: The Empirical Evidence." Journal of Financial Economics 77, no. 3 (September 2005): 561–603.
- 2011
- Chapter
Developing an Effective Organization: Intervention Method, Empirical Evidence, and Theory
By: Michael Beer
The field of organization development is fragmented and lacks a coherent and integrated theory and method for developing an effective organization. A 20-year action research program led to the development and evaluation of the Strategic Fitness Process (SFP)-a platform... View Details
Keywords: Learning; Corporate Governance; Leadership Development; Growth and Development Strategy; Management Teams; Organizational Design; Performance Effectiveness; Research; Alignment; Theory; Value
Beer, Michael. "Developing an Effective Organization: Intervention Method, Empirical Evidence, and Theory
." In Research in Organizational Change and Development. Vol. 19, edited by Richard Woodman, William Pasmore, and Abraham B. (Rami) Shani, 1–54. Emerald Group Publishing, 2011.
- 22 May 2013
- Working Paper Summaries
Hidden Structure: Using Network Methods to Map System Architecture
- October 2014
- Article
Hidden Structure: Using Network Methods to Map System Architecture
By: Carliss Y. Baldwin, Alan MacCormack and John Rusnak
In this paper, we describe an operational methodology for characterizing the architecture of complex technical systems and demonstrate its application to a large sample of software releases. Our methodology is based upon directed network graphs, which allows us to... View Details
Baldwin, Carliss Y., Alan MacCormack, and John Rusnak. "Hidden Structure: Using Network Methods to Map System Architecture." Research Policy 43, no. 8 (October 2014): 1381–1397.
- Article
History-informed Strategy Research: The Promise of History and Historical Research Methods in Advancing Strategy Scholarship
By: Nicholas Argyres, Alfredo De Massis, Nicolai J. Foss, Federico Frattini, Geoffrey Jones and Brian Silverman
Recent years have seen an increasing interest in the use of history and historical research methods in strategy research. This article discusses how and why history and historical research methods can enrich theoretical explanations of strategy phenomena. The article... View Details
Argyres, Nicholas, Alfredo De Massis, Nicolai J. Foss, Federico Frattini, Geoffrey Jones, and Brian Silverman. "History-informed Strategy Research: The Promise of History and Historical Research Methods in Advancing Strategy Scholarship." Strategic Management Journal 41, no. 3 (March 2020): 343–368.
- 1972
- Chapter
The Capital Asset Pricing Model: Some Empirical Tests
By: Fischer Black, Michael C. Jensen and Myron Scholes
Black, Fischer, Michael C. Jensen, and Myron Scholes. "The Capital Asset Pricing Model: Some Empirical Tests." In Studies in the Theory of Capital Markets, edited by M. C. Jensen. New York: Praeger, 1972.
- 2014
- Working Paper
Hidden Structure: Using Network Methods to Map System Architecture
By: Carliss Baldwin, Alan MacCormack and John Rusnak
In this paper, we describe an operational methodology for characterising the architecture of complex technical systems and demonstrate its application to a large sample of software releases. Our methodology is based upon directed network graphs, which allows us to... View Details
Baldwin, Carliss, Alan MacCormack, and John Rusnak. "Hidden Structure: Using Network Methods to Map System Architecture." Harvard Business School Working Paper, No. 13-093, May 2013. (Revised April 2014.)
- 2007
- Article
Business Methods Patents as Real Options: Value and Disclosure as Drivers of Litigation
By: Atul Nerkar, Srikanth Paruchuri and Mukti Khaire
This paper proposes that patents are real options that allow holders of patents the right but not the obligation to sue others. We suggest that the likelihood of a patent's being litigated is positively associated with the value of the patent and the extent of... View Details
Nerkar, Atul, Srikanth Paruchuri, and Mukti Khaire. "Business Methods Patents as Real Options: Value and Disclosure as Drivers of Litigation." Real Options in Strategic Management. Advances in Strategic Management 24 (2007): 247–274.