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This chapter offers a systematic review of research into quality assurance and quality management in higher education. It begins by considering quality as theory and discusses the methodology applied. The origin and meaning of the terms quality assurance and quality management, as they are used in higher education, and their application and practice, are then discussed. The issues and critiques that have been raised concerning quality assurance and management are identified, before some conclusions are reached.

Quality management is high on the reform agenda of both universities and hospitals. This paper studies how quality management is implemented: who is responsible for QM and which instruments are used? The guiding research question is whether these two very distinct professional organizations respond in similar or different ways to a common reform trend. To analyze the extent of isomorphic tendencies a cross-sectoral, descriptive data analysis with data from 135 hospitals and 83 universities in Germany has been conducted. The results show that QM in hospitals is more elaborated in terms of quality instruments and at the same time more standardized. Universities, in contrast, follow quite individualistic ways to organize quality management.

This research aimed to verify how the performance measurement system (PMS) and the quality management system (QMS) work in small and medium Brazilian enterprises in the light of the typology proposed by Garengo (2009).

Using a qualitative approach PMS’s and QMS’s managers were interviewed. The data from the first interview were analyzed using the technique of content analysis and have been subsequently triangulated with other data collected. The study was conducted by means of two questionnaires, two semi-structured interviews, and the analysis of the performance measures used by five small/medium manufactures based in the State of São Paulo.

It was found that in four out of five companies, PMS does not function singly, but along with QMS, mainly with respect to performance indicators. In spite of that intrinsic operation, the systems are in different stages of evolution. It was also found that in three out of five companies, quality management area is responsible for coordinating the process of PMS use, without effective participation from the controlling and/or accounting areas in this process.

The typology of Garengo (2009), used to check the stage of the PMS, was validated and can be used by practitioners to diagnose and improve the PMS in their enterprises; companies with QMS certified by ISO, particularly with higher degree of quality management maturity, can be encouraged to implement or improve the PMS in their organizations.

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.

Models of value creation that have been proposed for supporting value-based management are described and analyzed, including the Balanced Scorecard, the Baldrige Quality Award Criteria, the Deming Management Method, the Service-Profit Chain, and the Skandia Intellectual Capital Model. These models are compared, their potential for guiding the identification of value drivers and performance measures for value-based management is assessed, and management issues that must be addressed if such models are to contribute to long-run value creation are explored. These issues include causally linking value drivers to each other and to financial outcomes, the extent to which the models take a dynamic, or whole-system, view of value creation, and whether multiple value drivers should be explicitly weighted and combined to form a “value index.” Finally, the substantial body of research evidence linking intangible value drivers to financial outcomes is reviewed, and some directions for further research are offered.

This study analyses and presents the main differences that exist in the quality of management as practised by Cooperative and Non-Cooperative companies in the Basque Country within the industrial and company services sectors. The results obtained suggest that the quality level of cooperative company management is higher than that shown in the non-cooperative sector, the principal differences in quality of management being related to aspects where the social commitment of a company is reflected. These results prove to be more conclusive within the subgroup of cooperatives that are incorporated within the Mondragon Cooperative Corporation (MCC).

Purpose: We examined whether the five-service quality dimensions described by SERVQUAL (SQ) and SERVPERF (SP) are consistent with perceived dimensions of management accounting (MA) service quality and we compared responses from users and providers.

Design/methodology/approach: We surveyed experienced providers and users of MA services to learn their perceptions and expectations of accounting service quality using SQ/SP adapted to an MA context. We used principal components analysis (PCA) to investigate service quality dimensions.

Findings: Participant responses identified three dimensions of MA service quality. There was a high degree of correspondence in dimensions of service quality between users and providers, but with notable differences in service priorities. A performance-only (SP) approach seems to provide a better measure of overall service quality than performance minus expectations (SQ).

Research limitations/implications: Participants self-selected to participate. Respondents were not matched by organization. The SQ/SP instrument may not capture important organization specific attributes. Our approach may serve as a guide for future studies of accounting service quality.

Practical implications: SP may be more useful to managers who wish to evaluate overall service quality. SQ may be more useful to identify specific gaps between user perceptions and expectations. SQ/SP assessments may help to improve the quality of MA service delivery and provider-user communications.

Originality/value: This is the first empirical study to our knowledge that reports on MA service quality dimensions using both the SQ and SP instruments. This study investigated perceptions and expectations of MA service users and providers. Our sample is a cross-section of experienced professionals.