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Reports findings from an empirical investigation into the process of operations strategy formation in six small manufacturing companies in the UK. A two‐stage methodology was used, with three companies being studied in‐depth and three as supplementary cases. The top‐down strategic planning mode, which dominates the manufacturing strategy literature, was found to be inadequate as a depiction of manufacturing strategy formation in SMEs in practice. Manufacturing strategy formation was shown to be a complex process involving a combination of deliberate and emergent actions and decisions, influenced by organisational culture, politics and powerful individuals. Emergent actions and decisions within manufacturing always played a part in manufacturing strategy formation. Manufacturing strategy formation could be more deliberate if greater use was made of business planning and by the identification of a set of explicit objectives for manufacturing. Manufacturing strategy formation could be less emergent if political behaviour could be reduced. Other factors that seemed to be influential included the interpretative processes of managers, the role of a corporate parent and the level of management education.

Previous empirical research into the performance measurement of exemplary e‐businesses has pointed to a lack of progress in developing distinctive performance metrics for e‐business and a failure to adopt best practice in performance management. The objective of this paper is to reconsider the evidence from that study by drawing on innovation adoption theories.

The paper re‐examines the findings from case study‐based research that investigated leading e‐business performance measurement practices. The study suggests that there are limitations in analysing the findings using normative best practice, the dominant paradigm within performance management. Given that e‐business innovation relies on the adoption of multiple technologies this paper reconsiders the findings using the conceptual perspective of the innovation adoption literature.

The study highlights the importance of individual, cognitive, social and cultural influences in an organisation's operating environment on its willingness to adapt performance measurement metrics for online business activities. The findings point to the benefits available from incorporating new theoretic perspectives in performance measurement research.

The work points to a need to adopt a more context‐specific approach to the development of e‐business performance measurement. Furthermore, it indicates ways in which both the understanding and practice of performance measurement in e‐business can be advanced.

This paper highlights the limitations of current performance management literature as monopolised by normative best practice thinking, and argues for the need to incorporate other theoretical perspectives into performance management research.

ICI has completed a major refit of its Resin Technology Laboratory, a small but significant part of its paint making resources at Slough. The new facilities which were opened recently by ICI Paints Division Chairman, David Barnes, are a response to the rising level of technology and bring the Division's resources to the frontiers of technology, according to department manager Peter Osborn.

This paper reports on research investigating the process of formation of manufacturing strategy in six UK manufacturing small and medium‐sized enterprises (SMEs). Realised manufacturing strategy can be considered to be the pattern formed in the stream of actions taken within a firm’s manufacturing function. The research aims to locate the source of that stream by identifying the causal origins of strategic manufacturing actions using a strategy charting method. The findings indicate that, for these companies, realised manufacturing strategy is predominantly formed through a bottom‐up emergent process, arising from the preferences of personnel within the manufacturing function. For most strategic manufacturing actions, there is no demonstrable link to business strategy. As such, these firms are not following best‐practice manufacturing strategy literature, which advises that manufacturing strategy be derived from business strategy in a top‐down deliberate process. This is the case despite differences in the size, products, customers, ownership structures and histories of the companies. The paper speculates that, in UK SMEs, more widely, manufacturing strategy may similarly not arise from the pursuit of business objectives. This may be because the concept of manufacturing as a potential strategic weapon is absent in the SME community, or because the formalised top‐down deliberate process of developing manufacturing strategy associated with this concept is inappropriate in the dynamic environments in which most SMEs operate.

The objective of this paper is to identify the features of an effective e‐business performance measurement system, as well as the practices in organisations with distinctive e‐business performance metrics. From this it was hoped to identify a set of best practice recommendations.

A case study methodology is used to examine the performance measurement practices of 12 potentially exemplar organisations that have made efforts to develop distinctive performance metrics for e‐business. Qualitative data are collected from interviews with key informants from each organisation, with supporting data generate from company documents.

The study has uncovered a variety of approaches to e‐business performance measurement, with no common framework apparent. Whilst the case organisations show significant differences in the level of success achieved in developing suitable measures, there is evidence of a common concern to link e‐business performance to organisational objectives. However, there is a general unwillingness to embark on major overhauls of existing performance measurement systems.

The acknowledged weakness of case study research is that it can only investigate a limited number of situations. This raises the issue of the generalisability of the findings to a wider population. However, in the absence of empirical work in this area, the case organisations provided examples of superior practice in e‐business performance measurement when compared to organisations more generally.

This study identifies several gaps between the academic literature and current management practice, suggesting that researchers should consider the impact of theory on the process of organisational performance management. It also offers advice for organisations with respect to absorbing e‐business measures into their current performance measurement systems.

This paper offers empirical understanding of the application of performance metrics to e‐business and identifies several inconsistencies between academic theory and real‐world practice.

The purpose of this paper is to present a four‐phase dynamic feedback model for supply partner selection in agile supply chains (ASCs). ASCs are commonly used as a response to increasingly dynamic markets. However, partner selection in ASCs is inherently more complex and difficult under conditions of uncertainty and ambiguity as supply chains form and re‐form.

The model draws on both quantitative and qualitative techniques, including the Dempster‐Shafer and optimisation theories, radial basis function artificial neural networks (RBF‐ANN), analytic network process‐mixed integer multi‐objective programming (ANP‐MIMOP), Kraljic's supplier classification matrix and principles of continuous improvement. It incorporates modern computer programming techniques to overcome the information processing difficulties inherent in selecting from amongst large numbers of potential suppliers against multiple criteria in conditions of uncertainty.

The model enables decision makers to make efficient and effective use of the vastly increased amount of data that is available in today's information‐driven society and it offers a comprehensive, systematic and rigorous approach to a complex problem.

The model has two main drawbacks. First, practitioners may find it difficult to match supplier evaluation criteria with the strategic objectives for an ASC. Second, they may perceive the model to be too complex for use when speed is of the essence.

The main contribution of this paper is that, for the first time, it draws together work from previous articles that have described each of the four stages of the model in detail to present a comprehensive overview of the model.

This chapter addresses adaptation to dynamic, novel and uncertain military environments. These environments require a shift from a maneuver warfare paradigm to an asymmetric world where shifting alliances, questionable civilian loyalties, opaque cultures, and the requirement to maintain peace one day and combat the next makes for a particularly confusing situation. This new warfare paradigm requires adaptation to an uncertain, complex environment.

The initial section discusses a general cognitive model of visualization called RAVENS and its importance for adaptation developed specifically to address complex military environments. RAVENS posits that humans are inherently flexible decision makers and situation awareness depends on the ability of humans to create narrative visualizations that capture the overall context of complex military environments. Using the framework as a guideline, we will examine two important visualization research programs whose purpose is to allow military operators to rapidly adapt to volatile situations. The first program investigates cognitive effects such as the framing bias and their possible interactions with a variety of display concepts during a series of missile defense simulations. The experimenters presented risk as a spatial representation of uncertainty and target value that emphasized either expected population lost or expected population saved. The second program investigated the feasibility of using visualizations generated from Scheherazade (a coevolutionary algorithm) to aid MI analysts in predicting emergent tactics of terrorist groups during urban operations. Finally, we discuss the value of these approaches for providing coherent narrative understanding as called for in the RAVENS model.

Examines the securitization market and explores the factors which fuel grounds for growth in this market and whether, in light of proposed BIS changes, it will continue to expand. Discusses possible pitfalls and itemizes these with further explanations. Looks at the situation in three countries in particular – Italy, Germany and France, giving useful breakdowns on each. Concludes that banks will have an even greater incentive to remove high‐credit risk corporates from balance sheets owing to capital required.

This case features a county planning director as he approves or turns down a permit application for the Harvest Wind Farm Project, located in Klickitat County on the Columbia Plateau in Washington State. The utilities involved and Klickitat County stood to benefit through new revenue generation and a favorable federal construction grant associated with the American Recovery and Reinvestment Act of 2009, and certain landowners stood to make substantial royalties. However, other landowners were also worried about declining property values, environmental groups had raised objections to the effect of turbines on the pristine Columbia River view, and uncertainty about health effects had recently become more of an issue. Nationally, “wind turbine syndrome” and “shadow-flicker” effects had been linked to wind farm operations. Given these concerns and the uncertainty, would the gains to stakeholders justify signing off on the project?

This paper reviews the methodological options for the empirical investigation of the process of formation of operations strategy. A case study approach is likely to be the most favoured research strategy for this type of work. Five possible methodologies that might be used within such case studies (ethnography, interviews, strategy charting, questionnaires and documentation) are critically reviewed and assessed. The advantages and disadvantages of each, together with circumstances in which they might best be used, are identified. The paper especially focuses on the practical implications for researchers using each of these methodologies.