Operations Strategy or Stochastic Frontier Analysis

Operations Strategy

Author: Nigel Slack

Operation Strategy

Second Edition

Nigel Slack and Michael Lewis

Ideal for Advanced Undergraduate and Postgraduate students, this book builds on concepts from Strategic Management, Operations Management, Marketing and HRM to give students a comprehensive understanding of Operations Strategy.

Features
• Comprehensive and accessible with authoritative authorship and an excellent blend of theory and practice
• A European context
• Engaging case studies
• Teaching resources including an Instructor’s Manual with extensive case notes and PowerPoint slides at www.pearsoned.co.uk/slack.

What’s New?
• This new edition has been focused to concentrate on the most significant topics in the subject, with 10 chapters replacing the previous 15. New material has been added and coverage of some older topics has been revised (see new table of contents).
• End-of-chapter case exercises have been replaced by a major end-of-book section of ‘Harvard-type’ cases.
• New to the Instructor’s resources online: additional cases and a set of questions and answers for class use / exam use.
• New coverage of hot topics, such as the implications of ERP and Six Sigma on ops strategy, agility and it’s inter-relationship with lean, supply management issues, operations strategy for competitive advantage and SCM, and implementation.

 

 

Booknews

This text provides insight into operations strategy at the organizational level, covering issues such as supply networks, capability development, learning, and risk. It offers coherent models of the subject that run through each part of the text and explain how chapters fit into the overall subject. Pedagogical features include opening questions and summary answers, key terms, real-world cases, and theory boxes demonstrating the underlying principles that support the ideas discussed in the text. The audience for the text includes undergraduates pursuing business or technical degrees, MBA students, postgraduate students, and executives. Annotation c. Book News, Inc., Portland, OR

Look this: The Analytics of Uncertainty and Information or Which Ad Pulled Best

Stochastic Frontier Analysis

Author: Subal C C Kumbhakar

This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis. Hb ISBN (2000): 0-521-48184-8

Table of Contents:

	Preface
1	Introduction	1
2	Analytical Foundations	15
2.2	Production Technology	18
2.3	Technical Efficiency	42
2.4	Economic Efficiency	50
3	The Estimation of Technical Efficiency	63
3.2	Cross-Sectional Production Frontier Models	64
3.3	Panel Data Production Frontier Models	95
3.4	Stochastic Production Frontier Models with Heteroskedasticity	115
4	The Estimation and Decomposition of Cost Efficiency	131
4.2	Cross-Sectional Coast Frontier Models	136
4.3	Panel Data Cost Frontier Models	166
4.4	Two Additional Approaches to the Estimation of Cost Efficiency	175
5	The Estimation and Decomposition of Profit Efficiency	184
5.2	Single-Output Models	186
5.3	Multiple-Output Models	205
5.4	Alternative Profit Frontiers	212
6	The Shadow Price Approach to the Estimation and Decomposition of Economic Efficiency	216
6.2	Cross-Section Models	218
6.3	Panel Data Models	254
7	Incorporating Exogenous Influences on Efficiency	261
7.2	Early Approaches to the Incorporation of Exogenous Influences	262
7.3	Recent Approaches to the Incorporation of Exogenous Influences	266
8	The Estimation of Efficiency Change and Productivity Change	279
8.2	The Primal (Production Frontier) Approach	281
8.3	A Dual (Cost Frontier) Approach	287
8.4	A Dual (Profit Frontier) Approach	299
	References	311
	Author Index	329
	Subject Index	332