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The purpose of this article is to examine the difficulties associated with quality costing and propose a solution based upon the use of knowledge management techniques.

A widely available software tool is used to create a quality costing ontology based upon the prevention appraisal failure classification of quality costs. This ontology is used for the collection, processing, sharing and use of quality cost‐related knowledge. The ontology was evaluated using case study data and compared with conventional approaches to quality costing.

The quality costing ontology is easier and more efficient than conventional quality costing methods. It has greater capability in terms of the analysis and use of quality costing knowledge and overcomes the barriers to quality costing due to poor understanding and awareness.

The quality costing ontology provides a platform for researchers to investigate quality cost behaviour within a well‐structured environment. The use of alternative classifications to prevention appraisal failure in the ontology need to be investigated further.

Traditionally, training and education have been used to rectify poor understanding and awareness of quality costs but with limited success. The quality cost ontology provides an alternative solution that uses knowledge management (KM) technology and is based on information systems.

The authors could find no research or published paper that has discussed the role of KM in quality costing.

Overall equipment effectiveness (OEE) and process capability (PC) are commonly used and well‐accepted measures of performance in industry. These measures, however, are traditionally applied separately and with different purposes. The purpose of this paper is to investigate the relationship between OEE and PC, how they interact and impact each other, and the possible effect that this relationship may have on decision making.

The paper reviews the OEE and PC background. Then, a discrete‐event simulation model of a bottling line is developed. Using the model, a set of experiments are run and the results interpreted using graphical trend and impact analyses.

The paper demonstrates the relationship between OEE and PC and suggests the existence of a “cut‐off point” beyond which improvements in PC have little impact on OEE.

PC uses the capability indices (CI) to help in determining the suitability of a process to meet the required quality standards. Although statistically a Cp/Cpk equal to 1.0 indicates a capable process, the generally accepted minimum value in manufacturing industry is 1.33. The results of this investigation challenge the traditional and prevailing knowledge of considering this value as the best PC target in terms of OEE.

This paper presents a study where the relationship between two highly used measures of manufacturing performance is established. This provides a useful perspective and guide to understand the interaction of different elements of performance and help managers to take better decisions about how to run and improve their processes more efficiently and effectively.

The purpose of this paper is to develop understanding about the quality of user generated content (UGC) on web sites from the point of view of the customer. This is an area not yet explored, while the use of UGC is expanding on many web sites and its importance is rapidly growing.

The research undertaken is a pilot amongst a small number of interviewees who have been asked to judge the quality of UGC on hotel web sites.

The findings of the research show that three types of information are needed by the person using UGC on hotel web sites: objective information about the hotel; information about the reviewer's qualifications; and information about the reviewer's beliefs and expectations.

Because of the small number of interviewees this research is limited and can be defined as explorative. The outcomes can be used to develop a survey instrument in relation to further research on user generated content.

This research is original because there has not been any other initiative in this area and it will certainly stimulate more research because of the importance UGC has in a world of expanding internet usage. The outcomes of the small‐scale pilot will make it possible to develop broader quantitative research on UGC on web sites.

The purpose of this paper is to present a knowledge management (KM) tool which has been designed to support the creation of virtual knowledge sharing networks (KSNs). It is a software‐based application that enables the sharing of knowledge related to the implementation of manufacturing excellence (ME) best practices and improvement tools.

A survey of SMEs was carried out to investigate the implementation of ME best practices. The results indicated that that the main barrier to the implementation of best practices, quality models and improvement tools is a lack of knowledge about these initiatives due to the resource constraints experienced by SMEs. This led to the development of a KM tool to support the creation of virtual networks to enable SMEs to manage improvement projects and share effectively the generated knowledge. The KM tool is currently at the stage of validation and its future implementation is also under consideration.

The KM tool supports the creation of KSNs through an explicit KM approach to share ideas, experiences and knowledge about implementation of best practices and improvement tools; helping SMEs to become more competitive.

This research has demonstrated that is possible to provide a KM tool that is suitable for use by a KSN of SMEs. This approach allows transferring some of the tacit and explicit knowledge generated during the implementation of improvement initiatives into electronic documents for future consultation by KSN members.

The KM tool works not only as an electronic repository for knowledge, but it also drives users to apply and share knowledge through its capability to help managing improvement projects.

The purpose of this paper is to investigate the productivity performance at the firm level from the perspective of manufacturing capability development at the process level. Moreover, it reveals how alignment of manufacturing capabilities with market requirements has influenced a firm’s productivity over a period that includes the 2008 global recession.

A conceptual framework was derived from established theories and employed as part of a case study design encompassing a multiple methods research approach. The case of a UK SME was selected to reflect some of the issues associated with the wider productivity stagnation experienced by the UK economy in recent years.

The firm’s manufacturing strategy had become incrementally misaligned with market requirements due to external changes in its business environment. The complex relationships between capabilities such as quality, speed and cost were characterised. Realigning the firm’s manufacturing strategy to regain productivity performance required a range of prioritised actions including capital investment and changes in management practices concerning bottom-up process improvement and regular, top-down strategy review.

The findings of the case study cannot be generalised and the outcomes are specific to just one firm. However, the approach lends itself to replication, particularly within SMEs.

Prior studies have focussed on capability development at higher levels of abstraction. The study operationalized established theoretical perspectives at the firm level to derive context-based outcomes that can be used to improve manufacturing strategy alignment and productivity. Furthermore, the study contributes empirical evidence from the SME sector to the ongoing debate regarding the UK’s productivity puzzle.