Filter Results:
(44)
Show Results For
- All HBS Web
(189)
- Faculty Publications (44)
Show Results For
- All HBS Web
(189)
- Faculty Publications (44)
←
Page 3 of 44
Results
- March 1990 (Revised June 1993)
- Case
Analog Devices, Inc.: The Half-Life System
By: Robert S. Kaplan
The company has committed to major improvements in quality, cost, and on-time delivery performance. Despite strong senior management support, however, the actual rate of improvement was disappointing until a new measurement philosophy was introduced. The new approach... View Details
Keywords: Quality; Performance Improvement; Earnings Management; Financial Reporting; Organizational Change and Adaptation; Performance Productivity; Business or Company Management; Cost Management; Measurement and Metrics; Management Teams; Semiconductor Industry
Kaplan, Robert S. "Analog Devices, Inc.: The Half-Life System." Harvard Business School Case 190-061, March 1990. (Revised June 1993.)
- April 1989 (Revised January 1990)
- Case
Texas Instruments: Cost of Quality (B)
By: Robert S. Kaplan
A division questions whether to retain, modify, or abandon its cost of quality system now that more direct measures of quality have been adopted. Discusses the role of quality cost measurement in a mature quality management system. View Details
Kaplan, Robert S. "Texas Instruments: Cost of Quality (B)." Harvard Business School Case 189-111, April 1989. (Revised January 1990.)
- winter 1985
- Article
The Nonpecuniary Costs of Automobile Emissions Standards
By: Timothy F. Bresnahan and Dennis Yao
An important component of the costs of automotive air-pollution control has been nonpecuniary: a decline in vehicle performance characteristics. This regulatory impact on what the auto industry calls "drivability" has never been quantified, although there is... View Details
Bresnahan, Timothy F., and Dennis Yao. "The Nonpecuniary Costs of Automobile Emissions Standards." RAND Journal of Economics 16, no. 4 (winter 1985): 437–455. ((reprinted in W. Harrington and V. McConnell (eds.) Controlling Automobile Air Pollution, 2007)
Harvard users click here for full text.)
- Forthcoming
- Article
Slowly Varying Regression Under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression Under Sparsity." Operations Research (forthcoming). (Pre-published online March 27, 2024.)