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Many large construction companies in the UK are now operating a quality assurance (QA) system to ISO 9000, yet there seems to be no available evidence that they have developed any way of measuring the “effectiveness” of their systems in meeting prescribed quality objectives. This paper discusses the difficulties faced in attempting to develop a model in the form of a matrix to measure the effectiveness of QA systems.

Claims that the concepts of Total Productive Maintenance (TPM) fundamentally aim at applying Total Quality Management (TQM) philosophy in maintenance engineering. Emphasises the need of incorporating quality system and its monitoring to enhance maintenance quality. Points out that QS 9000 standard is expected to be a future quality system model in enterprises. Describes the design features of maintenance quality system model that has been developed based on QS 9000 standards. Cites the need of using continuous and economical knowledge which is possible only through the careful exploitation of information technology. Briefs the design of a knowledge base system and the development and performance of its pre‐auditing module. Presents a few sample screen outputs of this module. Concludes by suggesting the ways of productively exploiting the pre‐auditing module of the knowledge base system.

Management of quality control has shown a shift from an inspection‐oriented approach towards a defect‐prevention and organisation‐focused planning process. The development of a quality control information system (QCIS) should focus on management, planning and control issues. This article examines the QCIS from the aspect of its implications for management in a computer integrated manufacturing (CIM) environment.

This paper addresses some ergonomic issues in the ISO 9000‐based quality assurance. Ergonomics ‐ the study of human factors in engineering and design of systems is briefly touched on. Then, outlines of ISO 9001 and ISO 9004 quality system models are provided, and all 20 requirements requirements of the current ISO 9001:9004 standard are presented in an ergonomic light. Subsequently, human factors in the documentation and implementation of a quality system are illustrated. The relevance of ergonomic studies in the development of service systems is addressed. Finally, a blueprint for an ergonomic assurance system, defined as a set of interrelated resources and processes that function in order to achieve objectives related to ergonomic design and use of products and processes, is provided.

To describe how The Red Cross Hospital in Beverwijk, The Netherlands implemented an ISO 9000 quality management system throughout the entire organisation, obtained an ISO 9002:1994 and subsequently an ISO 9001:2000 certificate.

First, a global implementation plan was written concerning the process obtaining in each department. Once improved, each process was subjected to a procedure, and specific protocols effected. On completion the Quality Manual was put together. Quality management was completed by implementing an internal audit system involving 50 co‐workers.

A number of advantages are found from using ISO. The focus on patients has been re‐established. All processes are identified and subject to continuous improvement. Performance measurements were introduced and give an integrated picture of results. Measurements subsequently lead to improvement of quality of care and to quality system improvements. The documentation system serves the organization's needs without leading to bureaucracy. Positive effects on patient safety could be demonstrated compared with ten other hospitals.

Given the need for adequate quality management tools in health care and the need for demonstrating quality, the positive effects reported in this article show how ISO is expected to become more prevalent in health‐care organisations.

In Europe quality systems have been adopted successfully in many key sectors. Particularly, the ISO 9000 series of standards is applied widely. Research institutes are now showing an interest in setting up a system. It is an opportunity for them to not only to improve their performance but also to reach a quality label. Discusses the successful establishment of a total quality system at the Laboratory for Machine Tools and Production Engineering, Aachen, Germany. In April 1996, it obtained an ISO 9001 certificate, one of the first laboratories to do so. Presents the results of the project to show that research institutes can benefit from a quality system adjusted to their needs.

The effect of e-learning success relies on the learning management system and its effectiveness provided to the learners. As a result, higher education institutions (HEIs) are expanding using various e-learning platforms and focusing on system and information quality. This study adopts the ISS (information system success) model to assess students' perception of e-learning system success (e-LSS).

A quantitative research approach was used to analyse 151 students' perceptions collected from HEIs in Oman. The survey instrument was built on prior research related to DeLone and McLean’s ISS model, and expert opinion was involved for validation. The snowball sampling method was used to collect the data, and participants' anonymity and confidentiality were maintained as part of the ethical process. The reliability of data was tested using Cronbach's alpha analysis. A statistical tool like correlation was used to examine the relationship between the study variables (system quality, information quality, user satisfaction and e-LSS).

This study’s results revealed that students positively perceived system usage, and users' satisfaction with e-learning systems (e-LSs) was high. Moreover, the correlation results indicated that the system and information quality aspects of e-learning significantly influence e-LSS.

The study results on students' perspective towards e-learning information systems can be advantageous to HEIs and various stakeholders like policymakers, and e-learning platforms. It may support and assist the HEIs and corporate firms in deciding on e-learning platforms for students and learners, respectively. Moreover, the consolidated findings will contribute to the existing literature on e-learning success factors from students’ perspectives.

This study examines the students' perception of e-LSS in Oman HEIs and advocates prospects for further in-depth study and analysis.

As e-HRM systems move into the ‘smart’ technology realm, expectations and capabilities for both the automational and informational features of e-HRM systems are increasing. This chapter uses the well-established DeLone and McLean (D&M) model from the information systems literature to analyze how a smart workforce management system can create value for an organization.

The chapter is based on an exploratory case study conducted with a North American industrial products firm. We review three systems-level predictors of success from the D&M model (system quality, information quality, and service quality) and evaluate the company’s systems on these attributes.

The company’s e-HRM systems fall short on the information quality dimension, which limits potential for overall system success related to smart workforce management.

The e-HRM literature focuses on individual-level factors of system success, while the D&M model uses more macro factors. Blending these may help researchers and practitioners develop a more complete view of e-HRM systems. Conclusions from this chapter are limited due to the use of a single, exploratory case study.

Companies must pay attention to all three predictors of system quality when developing smart workforce management systems. In particular, implementation of a data governance program could help companies improve information quality of their systems.

This chapter adds to the literature on smart workforce management by using a model from the information systems literature and a practical example to explore how such a system could add value.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

E-wallet is one of the financial technology (fintech) products. In Indonesia, e-wallet is still in the growing stage. Many e-wallet providers are attracted to join the market every year, and the competition becomes tighter, focusing on customer acquisition. Promotion is launched, burning much cash in making the promotion. However, cash-burning does not guarantee that customers will use one e-wallet. Customer satisfaction is an important key element of success and continuous use in information systems and e-commerce contexts. This research aims to investigate the satisfaction of e-wallet customer in Indonesia, focusing on and extending the trust role. This study adopted the model proposed by Geebren, Jabbar, and Luo (2021), which is an extension of information system success model. This research used Structural Equation Modeling with Partial Least Squares to analyze the data. It was found that factors that influence customer satisfaction are trust, system quality, information quality, service quality, and structural assurance. The authors found that trust positively affects customer satisfaction, and trust plays a vital role in customer satisfaction. Also, trust has a role as partial and full mediators. It is suggested that e-wallet providers should consider enhancing customer satisfaction.