Interest in the topic of supply chain performance measurement has notably increased in the last two decades and considerable research has been conducted in this area. The objective of this paper is not just to review the advancements in theory on supply chain performance measurement per se, but rather to provide a taxonomy with which research in the field can be mapped and evaluated. The need for a structured topological approach to the development of supply chain performance measurement frameworks and methods is addressed. Findings are based on the analysis of a huge number of publications including the most recent reviews conducted in the contemporary literature (books, theses, journal articles and conference papers). The researchers believe that currently existing supply chain performance measurement frameworks can be classified into nine different types grouped according to the key criteria of measurement. This research reveals that most of the already existing approaches are static, inflexible and lack continual improvement which constitutes a gap between the theory and their potential application. Thus, future contributions to the topic are essential and possible.

PurposeThe purpose of this paper is to develop a quantitative model which helps enterprise resource planning (ERP) implementers in Egypt to predict their implementation success as a function of achieved critical success factors and the organizational culture.Design/methodology/approachA conceptual framework is formulated and operationalized based on existing literature and a series of interviews with key persons involved in ERP implementation in Egypt. A cross‐sectional survey involving 45 ERP implementers is conducted to collect data used to fit the developed model.FindingsHalf the surveyed ERP implementations are considered failures according to the research success metrics. While the critical success factors positively contribute to the success of an ERP implementation, the Egyptian organizational culture hinders its progress. The concept of integration provided by ERP systems is considered relatively new to the Egyptian organizations.Research limitations/implicationsThe surveyed sample size is considered relatively small, which partially restricts the generalization of results to the whole population of ERP Egyptian adopters. Future research will involve combining detailed case studies and a larger survey.Practical implicationsERP adopters should periodically evaluate their implementation process using risk analysis tools for ensuring optimum benefits and avoiding any problems that may occur. Furthermore, the Egyptian organizational culture should be carefully considered while implementing an off‐shelf ERP system.Originality/valueThis paper research adds to the growing body of knowledge on ERP implementations, a study of ERP implementation in the Egyptian settings. For practitioners, it provides ERP adopters with a self‐evaluation tool that helps them to monitor and predict the likelihood of project success.

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The last decade has seen a considerable growth in the use of AI for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context for the survey through a historical perspective of OR and AI. An extensive survey of applications of AI techniques for operations management, covering a total of over 1200 papers published from 1995 to 2004 is then presented. The papers are categorised into four areas of operations management: (a) design, (b) scheduling, (c) process planning and control and (d) quality, maintenance and fault diagnosis. Each of the four areas is categorised in terms of the AI techniques used: genetic algorithms, case based reasoning, knowledge based systems, fuzzy logic and hybrid techniques. The trends over the last decade are identified, discussed with respect to expected trends and directions for future work suggested.

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