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Organizations constantly evaluate their activities to ensure that they are attaining their management goals. Maturity assessment enables organizations to examine their capabilities, support innovation and evaluate development. The aim of this paper is to evaluate the maturity statuses of a selection of Nigerian university libraries in a study to investigate their quality management (QM) approaches. The study provides recommendations for means to attain the required statuses in academic library development.

The study involved a multisite case study in which interviews were conducted with 15 university librarians (or their representatives) and ten focus groups were conducted with non-management library staff. The resulting qualitative data were analyzed using an aspect of framework analysis – charting, while a maturity model from the field of project management (Prince 2 Maturity Model, P2MM) was used to assess maturity in QM of the libraries.

The results of the maturity assessment indicate a basic knowledge of the concept of QM implementation among the libraries. The scores obtained on the P2MM capability scale placed the libraries studied mainly on Level 1 (awareness level) of the model.

This paper demonstrates that the culture of QM in academic libraries in Nigeria is at a low level with considerable potential for development. It is suggested that future adoption of quality maturity models to assess performance and organizational effectiveness would aid improvements for value-added services.

This is the first study to attempt the assessment of quality maturity levels in Nigerian academic libraries for identification of the organization’s positioning in QM and strategy.

The purpose of this paper is to develop a new maturity model to identify the current state of maintenance area of organizations and drives actions to increase efficiency and effectiveness toward the concept known as world-class.

The model was developed based on an extensive literature review on maintenance management and maturity assessment, which allowed identifying the relevant factors in maintenance management and the world-class behaviors for each factor. The progressive maturity levels for each of the identified ten factors form the model. To test its effectiveness, it was applied to the maintenance area of three companies.

The model application showed that, in addition to being a self-assessment tool, it provides knowledge, to those who use it, on behaviors or practices that enable world-class results. For each factor, potential gaps and the desired state were defined focusing on behaviors rather than on indicators values or adopted methodologies, which facilitates the identification of improvement actions that lead to better performance.

Through its use, maturity levels can be identified for all considered maintenance management factors, however, the overall maturity of the maintenance area is not determined. Although this overall evaluation can be done assigning a weight to each factor, it was not considered an added value for the set purpose.

The proposed maturity model contributes to the understanding of the maintenance management process and how to stand out nowadays in an area that has an increasingly important impact on productivity and quality.

The various quality improvement (QI) frameworks and maturity models described in the health services literature consider some aspects of QI while excluding others. This paper aims to present a concerted attempt to create a quality improvement maturity model (QIMM) derived from holistic principles underlying the successful implementation of system-wide QI programmes.

A hybrid methodology involving a systematic review (Phase 1) of over 270 empirical research articles and books developed the basis for the proposed QIMM. It was followed by expert interviews to refine the core constructs and ground the proposed QIMM in contemporary QI practice (Phase 2). The experts included academics in two academic conferences and 59 QI managers from the New Zealand health-care system. In-depth interviews were conducted with QI managers to ascertain their views on the QIMM and its applicability in their respective health organisations (HOs).

The QIMM consists of four dimensions of organisational maturity, namely, strategic, process, supply chain and philosophical maturity. These dimensions progress through six stages, namely, identification, ad-hoc, formal, process-driven, optimised enterprise and finally a way of life. The application of the QIMM by the QI managers revealed that the scope of QI and the breadth of the principles adopted by the QI managers and their HOs in New Zealand is limited.

The importance of QI in health systems cannot be overstated. The proposed QIMM can help HOs diagnose their current state and provide a guide to action achieving a desirable state of quality improvement maturity. This QIMM avoids reliance on any single QI methodology. HOs – using the QIMM – should retain full control over the process of selecting any QI methodology or may even cherry-pick principles to suit their needs as long as they understand and appreciate the true nature and scope of quality overstated. The proposed QIMM can help HOs diagnose their current state and provide a guide to action achieving a desirable state of quality improvement maturity. This QIMM avoids reliance on any single QI methodology. HOs – using the QIMM – should retain full control over the process of selecting any QI methodology or may even cherry-pick principles to suit their needs as long as they understand and appreciate the true nature and scope of quality.

This paper contributes new knowledge by presenting a maturity model with an integrated set of quality principles for HOs and their extended supply networks.

This paper aims to present and discuss an innovative maturity model (MM) to assess supply chain quality management (SCQM). The SCQM MM can be used to guide organizations in the development and improvement of quality in their supply chains (SCs). Additionally, this paper intends to better understand that integration and its impacts on organizational performance.

The proposed MM was developed based on an exhaustive literature review of the most relevant MMs developed in the areas of quality management, supply chain management and other relevant domains.

The proposed MM consists of a matrix with 100 criteria organized in five organizational dimensions and five maturity levels, embracing the most relevant SC issues and describing a progressive path towards a state of full maturity.

It is an innovative tool useful for both academic experts and practitioners to integrate quality management across the SC, thus promoting and improving organizational performance from an integrated and sustainable perspective.

Healthcare providers differ in their readiness and maturity levels regarding quality and quality management systems applications. The proposed model serves as a useful quantitative quality maturity level assessment tool for healthcare organizations.

The model proposes five quality maturity levels (chaotic, primitive, structured, mature and proficient) based on six quality drivers: top management, people, operations, culture, quality focus and accreditation.

Healthcare managers can apply the model to identify the status quo, quality shortcomings and evaluating ongoing progress.

The model has been incorporated in an interactive Excel worksheet that visually displays the quality maturity level risk meter. The tool has been applied successfully to local hospitals.

The proposed six quality driver scales appear to measure healthcare provider maturity levels on a single quality meter.

The purposes of this study are to examine the relationship between the distribution of quality costs and the level of maturity of an organization's quality system, to assess the extent to which effective COQ systems and maturing quality systems affect organization performance, and to determine why some organizations do not utilize COQ systems.

A survey instrument was developed to determine the distribution of total quality cost among the four ASQ categories. The instrument also assesses the maturity of the organization's quality system using the ANSI/ISO/ASQ Q9004‐2000 performance maturity level classification system. Correlation analysis was used to examine the relationships between quality costs and quality system maturity.

External failure costs were found to decline as a percentage of total cost of quality (COQ) as an organization's quality system matures. Total COQ was found to increase as an organization moved from a very low level of quality system maturity to a higher level. Sales and profit growth were not significantly correlated with the presence of a quality cost system or with the level of maturity of the quality system. Lack of management support was found to be the most common reason why organizations do not systematically track quality costs.

Additional research is needed to determine the relationship between the presence of a COQ system and its effective integration with the quality system and organizational outcomes. Future research is needed to expand the study beyond the boundaries of the USA. Future research involving longitudinal studies would be beneficial in more accurately assessing the nature of the changes in COQ distribution over time.

The findings of this study suggest that organizations planning to implement a COQ system should ensure that management supports the program and is prepared for a short‐term increase in total COQ. These findings also support the often‐suggested expectation that in the long run the COQ system will lead to a significant reduction in external failure costs.

Systematic measurement of COQ is underutilized in practice. This study systematically examines why this is the case. In addition the study provides information that can be useful in justifying implementation of COQ measurement systems.

The aim of the article is to determine research areas and to recognize the current direction in the development of maturity models, to indicate the key areas of organizational maturity models (OMMs) development and their classification as well as to pinpoint research gaps and areas of potential development of OMMs in the context of scientific research and the needs of management practitioners.

The research was conducted using the literature review method, bibliometric analysis and visual mappings.

The empirical classification developed in this paper identified 12 categories based on management areas, constituting the criteria for classifying OMMs models, where OMMs are being developed: Information Technology, Project Management, Business Management and Strategy, Human Resource, Ergonomics, Health and Safety Management, Industry 4.0 concept, Knowledge Management, Process Management, Performance Management, Quality Management, Supply Chain Management, Risk Management and Innovation Management.

The main limitation is the analysis in the scope of topic OMMs including solely the Scopus and Thompson Reuters Web of Science database. Another shortcoming is conducting data analysis and classification based on the abstracts of the selected articles.

This work is a starting point to prospect trends for future revolving around the OMMs crossing different databases.

Since the early 1980s, benchmarking has been widely used as a strategy for organisations to make progress in their TQM maturity. Quality award models provide a comprehensive framework for the application and study of benchmarking. However, many of the studies are case‐based and anecdotal in nature. This study undertakes a benchmarking exercise among Singapore’s productivity leaders, which comprised the pioneer batch of organisations in the Singapore Quality Award programme. The secondary data obtained from these organisations are used for the analysis. The findings cover the best practice levels attained, strengths and weaknesses of the organisations, disparities in maturity of practices, areas with high priority for improvement, and association between TQM maturity and business performance. Policy‐wise, they suggest actions that should be taken to raise the TQM maturity of the organisations. They also provide a basis for comparisons in future studies, and for the further development of theoretical propositions.

The University of Mauritius (UoM) established as a traditional face-to-face university has been engaged in distance education since 1993 and in e-learning since 2001 to establish itself as a dual-mode institution. In a context where it has engaged itself to promote its internationalization of online courses and a digital learning transformation process, there is a need to assess and evaluate its current e-learning capability to identify areas of good practices and opportunities for improvement to ensure a high quality of e-learning provisions. The paper reports the results of an assessment of the e-learning capability and the related quality assurance processes of the University of the Mauritius using the e-learning Maturity Model (eMM). Quality assurance in higher education is still a key issue, especially with the ever-growing influence of technology and the disruption that the Internet has caused with respect to e-learning and distance education provisions. No university in Mauritius has ever engaged in such an assessment of their e-learning capabilities.

The EMM and the Open Learning Consortium Quality Scorecard Suite were found to be the most complete models in terms of available documentation and description of how to carry out the evaluation with respect to each process area as compared to the other models described in the literature review section. The EMM was, however, chosen as the model to be used for the UoM, given that there already exists a body of knowledge about its applications in different universities that operate in similar contexts. The researcher is at the heart of the process in the role of an ‘eLearning quality auditor’. Therefore, the research used mainly desk studies, and analysis of annual reports as well as a consultative approach with key stakeholders based on a consensus model to reach a rating for each element in the EMMv2.3 instrument. The rating is based on evidence that is available and verifiable through desk research and documentation.

We found out that the main strengths of the university were in the learning process areas mainly because of the need to follow existing quality assurance procedures in place at different phases of a course of life cycle, irrespective of the course modality. On the other hand, across all process areas, the university fared well in the delivery dimension, and this finding is consistent with other universities that were assessed using the EMM. However, it was found that the EMM in current form was more adapted for the assessment of universities operating fully as open or virtual universities rather than those operating as dual-mode institutions or as traditional universities promoting technology-enabled learning. The weakest link was the optimization dimension across all process areas, and the process area that needs more attention for improvement was the evaluation process area. Overall, the university can reasonably be pitched at level two (Repeatable) of the capability maturity model scale used for information systems maturity assessment, but operating towards level three (Defined).

The work presented here has never been carried out for any university in Mauritius, and there have been no reported evaluations or applications within the African region. It allows the university to benchmark and compare its standing with respect to other universities operating as dual-mode institutions and as a reference for other universities in Mauritius as well.

The purpose of this paper is to explore the nature of ISO 9001 certification and diffusion in the USA in relation to organizational supply chain position, quality maturity, and supplier quality maturity.

Data for comparison in this study comes from an e-mail survey questionnaire of supply chain professionals across the USA. A pilot survey was initially e-mailed to 100 supply chain professionals and preliminary data from 27 respondents were used to revise the questionnaire. Respondents to the revised questionnaire returned 565 e-mailed questionnaires out of 2,924 active e-mail addresses.

The results suggest that companies adopting ISO 9001 are likely doing so as part of an overall quality management program more so than from direct market pressure. It appears that ISO 9001 certification rates differ by organizational position in the supply chain. ISO 9001 certified organizations are more likely to have quality programs of greater maturity and suppliers with greater quality maturity than organizations that are not ISO 9001 certified. Certified organizations are also more likely to use suppliers that are ISO 9001 capable or certified than non-ISO 9001 organizations.

Not all industry groups or supply chain positions were well-represented due to some small sub-group sizes.

The study of ISO 9001 certification in US organizations has been lacking in the literature. Given the weak adoption rate of ISO 9001 in the USA, this study helps characterize ISO 9001 certification from a supply chain perspective and explores possible reasons for low certification rates.

This research extends the knowledge of quality management in the supply chain by studying ISO 9001 certification in relation to supply chain position and differences in quality maturity between certified and non-certified organizations in the USA.