Author
Robert G. Dyson
Other affiliations: University of Bath
Bio: Robert G. Dyson is an academic researcher from University of Warwick. The author has contributed to research in topics: Data envelopment analysis & Strategic planning. The author has an hindex of 32, co-authored 63 publications receiving 7174 citations. Previous affiliations of Robert G. Dyson include University of Bath.
Papers published on a yearly basis
Papers
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TL;DR: The purpose of this paper is to highlight some of the pitfalls that have been identified in application papers under each of these headings and to suggest protocols to avoid the pitfalls and guide the application of the methodology.
1,374 citations
TL;DR: Data envelopment analysis is a linear programming based technique for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes comparison difficult.
929 citations
TL;DR: The paper argues that the incorporation of value judgements in DEA was motivated by applications of the method in real life organisations, and concentrates on the implications of weights restrictions on the efficiency, targets and peer comparators of inefficient Decision Making Units.
Abstract: This paper provides a review of the evolution, development and future research directions on the use of weights restrictions and value judgements in Data Envelopment Analysis. The paper argues that the incorporation of value judgements in DEA was motivated by applications of the method in real life organisations. The application driven development of the methods has led to a number of different approaches in the literature which have inevitably different uses and interpretations. The paper concentrates on the implications of weights restrictions on the efficiency, targets and peer comparators of inefficient Decision Making Units. The paper concludes with future research directions in the area of value judgements and weights restrictions.
699 citations
TL;DR: The application links SWOT analysis to resource-based planning, illustrates it as an iterative rather than a linear process and embeds it within the overall planning process.
652 citations
TL;DR: In this article, the consequences of total weight flexibility in data envelopment analysis (DEA) assessments of the efficiency of decision-making units are explored, and one possible way of limiting such flexibility is suggested.
Abstract: This paper explores the consequences of total weight flexibility in data envelopment analysis (DEA) assessments of the efficiency of decision-making units, and it suggests one possible way of limiting such flexibility. It is suggested that total weight flexibility can lead to some decision-making units being assessed, in effect, on only a small subset of their inputs and outputs, while the rest of their inputs and outputs are all but ignored. Constraining the weights in DEA assessments overcomes this problem. The paper suggests one way in which constraints can be placed for the case where the decision-making units to be assessed use only a single input. The method is illustrated using data on local-authority rates departments. Finally, the paper discusses the interpretation and usefulness of the information obtained from DEA assessments involving weights constraints.
616 citations
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2,707 citations
TL;DR: In this article, the authors discuss the nature and sometimes negative consequences of the dominating marketing paradigm of today, marketing mix management, and furthermore discuss how modern research into industrial marketing and services marketing as well as customer relationship economics shows that another approach to marketing is required.
2,669 citations
TL;DR: In this paper, the authors discuss the mathematical programming approach to frontier estimation known as Data Envelopment Analysis (DEA) and examine the effect of model orientation on the efficient frontier.
1,873 citations
TL;DR: A sketch of some of the major research thrusts in data envelopment analysis (DEA) over the three decades since the appearance of the seminal work of Charnes et al. is provided.
1,390 citations
TL;DR: The purpose of this paper is to highlight some of the pitfalls that have been identified in application papers under each of these headings and to suggest protocols to avoid the pitfalls and guide the application of the methodology.
1,374 citations