Intranet/Extranet/Internet-Based Quality Information Management System in Expanded Enterprises

Among all quality strategies, quality information system (QIS) is the one that finds comparatively little recognition among the quality engineering professionals. The situation is different in the general management arena, where management professionals are striving to attain core competence of organizations through the implementation of management information systems (MIS). On realizing this trend and anticipating tremendous benefits, a research project has been started with the objective of developing a QIS compatible to ISO 9001:2000. In this chapter, the quality management information system (QMIS) that has been designed by referring to clause 4 of ISO 9001:2000 has been reported. After designing this QMIS, its development in a real time environment was examined by conducting a study at an ISO 9001:2000 certified high technology oriented company. Also, a validation study was conducted by gathering the opinions and assessment of the managing partner of the company on QMIS. These studies revealed the feasibility and possibility of implementing QMIS in ISO 9001:2000 certified companies. The details of this work are presented in this paper.

It is generally accepted that quality management is considered a valuable competitive factor for firms that confers them competitive advantages and enables them to achieve superior performance. Although there have been numerous studies examining general quality management practices and implementation, industry-specific studies on quality management practices and factors that influence their success in the shipping industry are rather few. This study seeks to identify the factors that are critical to successful quality management, and attempts to develop a reliable, empirically tested, and rigorously validated measurement instrument for quality management, for the shipping industry. We conducted a large-scale survey of shipping industry executives and applied a rigorous research methodology to treat the survey data. We identified four success factors of quality management, which are top management commitment and participation, quality information and performance measurement, employee training and empowerment, and customer focus, and developed a functional instrument to measure quality management in the shipping industry. This paper contributes to research by identifying the success factors of quality management, and provides managerial insights on the successful management of quality, in the shipping industry.

The fashion industry’s business is becoming increasingly complicated and active. This industry is expected to be highly competitive, particularly in the retail sector. Therefore, this research aims to examine the impact of supply chain information sharing and quality management on firm performance, with supply chain agility as a mediating variable, in the Asian fashion industry. A total of 169 participants from the fashion sector in a developing country were surveyed. The proposed hypotheses were examined using a quantitative approach, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS to assess and validate the measurement model. The results indicate that supply chain information sharing and quality management have a significant impact on a firm’s performance. Similarly, the sharing of supply chain information and quality management has a significant impact on firm performance by mediating supply chain agility. The findings also suggest that supply chain agility enhances a firm’s financial and operational performance, including sales, market share, productivity, time-to-market, and customer satisfaction. The study offers actionable insights for managers in volatile fashion supply chains. Firms can enhance performance by sharing real-time demand and inventory information, strengthening key quality practices, and adopting flexible, data-driven production processes. Integrating information sharing, quality management, and agility enables faster responses to shifting consumer trends, thereby improving overall competitiveness in fast-fashion environments. This study offers valuable guidance for supply chain professionals seeking to enhance practices within their networks. The results underscore the strategic importance of information sharing and quality management in promoting agility, an essential capability for achieving a competitive advantage. Additionally, the insights generated are relevant to practitioners, policymakers, and industry leaders aiming to strengthen supply chain responsiveness and resilience.

PurposeThe current study seeks to investigate how supply chain quality management (SCQM) and supply chain agility (SCA) and innovation (SCI) have an impact on supply chain performance (SCP) and how SCQM affects SCP through the mediating role of SCA and SCI capabilities.Design/methodology/approachIn line with the research objective, a quantitative model was applied, and a multi-item survey questionnaire was developed to collect primary data. A random sample of 284 manufacturing firms belonging to different industries was used. The measurement model was assessed for validity and reliability, and satisfactory levels of these tests were demonstrated. Research hypotheses were examined using structural equation modeling (SEM).FindingsThe results of the current study have significant implications in regard to the further improvement of SCP through SCQM. The study also found that SCQM plays a key role across the entire SC network in facilitating and developing SCA and SCI capabilities. The remarkable findings of the current study revealed the indirect effect of SCQM on SCP through SCA and SCI. These results broaden the work of previous studies which identified the positive effects of SCQM on performance by providing meaningful insights into SCQM's role in promoting SCA and SCI capabilities, which, in turn, further improves SCP.Originality/valueThis study addresses a gap in the literature concerning the effect of SCQM on SCP. In addition, it is the first study, to the best of the researchers' knowledge, to explore the role of two major SC capabilities, namely, SCA and SCI on the SCQM–SCP relationship. Moreover, the present study addresses a questionable issue in the literature regarding practices that conceptualize SCQM. Several studies confuse SCQM practices with internal quality management (QM) practices. This study defines SCQM as consisting of collaborative QM practices with external SC members and proposes five related practices for measuring SCQM.

Trends in the use of a unified information system for quality assurance and management at different stages of production of complexly shaped parts of aircraft engines are considered.

This paper is based on the alumina ceramic manufacturing process and its quality to build a quality information management system to study alumina ceramics and its quality factors such as physical properties, chemical properties, and other pieces of related information to find a kind of alumina ceramics. The management of quality management brings efficiency and guarantee to the management system. Obviously, this research is based on the two parts of alumina ceramic tube and quality management information system for data acquisition and analysis. One part is based on the production and performance analysis of alumina ceramic tube and summarizes the quality problems that occurred in this process. This paper constructs an information management system to count these issues and conducts research on information dominance and management; among them, exponential smoothing calculation methods, linear trends, convolutional neural algorithms, and so on are applied for methodological analysis. The experimental results show that the lack of corners and uneven corners in alumina production has been greatly reduced, and the maximum probability of uneven corners has been reduced from 9.27 to 5.27. The scrap rate of ceramic tube quality decreased from the highest value of 5.82 to 3.17, and the maximum value of unqualified quality was changed from 5.76 to 3.03.

Recent research has increasingly emphasized the synergies between Supply Chain Management Practices (SCMPs) and Quality Management Principles (QMPs), particularly through the emerging concept of Supply Chain Quality Management (SCQM). Despite this recognition, empirical evidence on how these practices interact to influence performance remains very limited, especially in the context of developing countries. This study addresses the gap by interviewing 70 Tunisian agri-food companies to investigate the relationships between five dimensions of SCMP, strategic supplier partnerships, customer relationship, information sharing, information quality and postponement, and the seven principles of ISO9001 QMP: leadership, engagement of people, improvement, customer focus, process approach, evidence-based decision making, and relationship management. Using factor analysis and structural equation modelling, the study explores the mediating role of competitive advantage (CA): price/cost, product quality, product innovation, delivery dependability and time-to-market—on operational performance. The findings indicate that analyzing SCMP, QMP, and CA as aggregated blocks does not produce significant explanatory correlations. Instead, judiciously reorganizing their sub-constructs into five integrated groups provides a more effective model: (1) information and decision capacity, (2) customer-centric innovation, (3) process management and agility, (4) supplier and network management, and (5) leadership and workforce engagement. This integrated classification offers managers a coherent framework for implementing SCMP and QMP to enhance competitiveness results.

It is generally accepted that firms that pursue sound quality management practices will become more competitive due to enhanced business excellence and performance. However, relatively little research has studied the relationships between quality management practices and organizational performance in the shipping industry. We conduct this study to plug this gap in the literature. We conduct a large-scale industry survey to collect data and develop three measures of organizational performance, namely operational performance, financial performance and customer satisfaction. From the literature we identify four key quality management practices, namely top management commitment and participation, quality information and performance measurement, employee training and empowerment, and customer focus. Through regression analysis, we find that all four quality management practices are positively associated with the three empirically developed organizational performance measures. This study contributes to research by establishing the links between quality management practices and organizational performance in the shipping industry, and provides managerial insights on how shipping firms should plan, tailor and implement their quality management efforts to attain their desired organizational performance measures.

This chapter introduces the role of Total Quality Management (TQM) practices, thus explaining the introduction of Quality Management (QM) systems, the significance of TQM, the concept of TQM practices, the utilization of QM practices, and the relationship between TQM practices and quality performance. In addition, 17 TQM practices associated with quality performance (i.e., top management commitment, customer focus, training and education, continuous improvement and innovation, supplier quality management, employee involvement, information and analysis, process management, quality systems, benchmarking, quality culture, Human Resource Management [HRM], strategic planning, employee encouragement, teamwork, communication, and product and service design) are explained. This chapter serves as a valuable guideline for both researchers and practitioners to review their TQM programs in order to improve quality performance. Understanding the role of TQM practices on quality performance will significantly enhance the organizational performance and achieve business goals in the global business environments.

This chapter introduces the role of Total Quality Management (TQM) practices, thus explaining the introduction of Quality Management (QM) systems, the significance of TQM, the concept of TQM practices, the utilization of QM practices, and the relationship between TQM practices and quality performance. In addition, 17 TQM practices associated with quality performance (i.e., top management commitment, customer focus, training and education, continuous improvement and innovation, supplier quality management, employee involvement, information and analysis, process management, quality systems, benchmarking, quality culture, Human Resource Management [HRM], strategic planning, employee encouragement, teamwork, communication, and product and service design) are explained. This chapter serves as a valuable guideline for both researchers and practitioners to review their TQM programs in order to improve quality performance. Understanding the role of TQM practices on quality performance will significantly enhance the organizational performance and achieve business goals in the global business environments.

Purpose: Identification of the potential impact of informational labels used on websites on information quality, with particular emphasis on their semantic and syntactic characteristics. Methodology: The study was conducted based on a comparative analysis of informational labels (contextual links, headings, navigation system elements, index terms) on websites from three sectors: public services (gov.pl), e-commerce (allegro.pl), and education (uni.opole.pl). For each type of label, semantic and syntactic features were determined, as well as their influence on selected information quality criteria. Findings: Key semantic characteristics (unambiguity, relevance, contextuality) and syntactic characteristics (hierarchy, formatting, stylistic consistency) of informational labels were identified. Their impact on such information quality characteristics as accessibility, consistency, timeliness, relevance, completeness, and usability was demonstrated. The highest level of information quality is achieved through the synergistic combination of precise semantics with an appropriate presentation structure. The identified information quality characteristics on websites are consistent with universal models, which confirms their validity in design practice. Research limitations: Limiting the analysis to three sectors (public services, e-commerce, education) narrows the possibility of fully generalizing the results. Further research requires an in-depth analysis of the impact of labels on user experience in different cultural and linguistic contexts. Practical implications: The study indicates the necessity of systematic auditing and optimization of labelling systems as part of a comprehensive information quality management strategy for websites. It is important to maintain semantic and syntactic consistency of labels throughout the system and to adapt them to the needs of users. Originality/value: This publication provides a comprehensive analysis of the impact of informational labels on information quality on websites, combining the perspective of information architecture with quality management. The work is addressed to both practitioners designing websites and theorists dealing with information quality in the digital environment.

Стаття присвячена аналізу специфіки сучасної системи забезпечення якості університетської освіти в Австрії на основі виконання історико-педагогічного дослідження. Відповідно до мети та завдань дослідження автори використали теоретичні та прикладні методи дослідження (описовий, статистичний, порівняльний, аналітичний метод, метод узагальнення, інтерпретації даних, логічний, структурний, системний метод, а також методи індукції і дедукції; інтерв’ю, опитування, анкетування). У статті представлена методологія аналізу забезпечення якості освіти в австрійських університетах. Автори висвітлюють теоретичні та методологічні основи процесу забезпечення якості університетської освіти в досліджуваній країні. Проаналізовано забезпечення якості університетської освіти в Австрії відповідно до структурно-функціональної моделі. Ця модель охоплює концептуальний, цільовий, операційний та оцінювальний компоненти. Представлено класифікацію та характеристику ресурсів дослідження якості університетської освіти в Австрії. Охарактеризовано сучасні тенденції розвитку системи забезпечення якості університетської освіти,а також виконано аналіз та порівняння європейських та австрійських стандартів кваліфікації. Автори представляють висновки з виконаного дослідження та обґрунтовують необхідність проведення подальших досліджень.

Organizational performance depends on strategic decisions taken by stakeholders in the organization, where strategic decisions of stakeholders depend on the quality of data and information available to the organization. Data and information quality called good when the data and quality has criteria that suits for users of data and information, where data and information user need on the organization will be different according to their aim and objectives, so that the criteria of data quality and information is not universal. The research aims to improve the quality management of data and information by utilizing information systems to produce good quality data and information and help improve the organization's performance on the Palm Oil Processing Factory in Indonesia. This research was conducted to know data and information quality management in producing data and information, and its contribution on the mill performance using interview methods with those who have a role in the implementation of data quality and information management, observation, and document management related to factory performance. This research resulted findings that still in the implementation of data quality and information management there are still procedures that are not undertaken, so the result of data and information not entirely suits with the user wishes. Although the procedure has not been fully implemented, using data and information production has helped data and information users in decision making and succeeded in lowering the mill breakdown by 0.10%.

The chapter aims to comprehend the best practices of quality management in manufacturing and healthcare services and its relevance to information governance. Quality management principles of quality gurus have contributed significantly to the manufacturing and services sector. Its implementations in manufacturing and health care services provide numerous learning opportunities. Delivery of care processes integrates quality of health and life, lean management, quality assurance, quality implementation, quality control, affordability, and satisfaction with services. These best practices in quality management are relevant across various disciplines of research including information management, psychology, business research, service quality and technology management. The study has explored the challenges of quality management in health care services and manufacturing and integrates studies that may contribute to the subject of quality management and its relevance for information governance.

Fusing best international and local quality management and control practices is one of the most effective ways to gain competitive advantage. Among other things, this includes implementing "customer focus" and "factual decision-making", the key principles of Universal Quality Management, through qualimetric models. The authors have identified qualimtric models with the best quality management potential across the food processing industry, at different product life cycle stages. They especially emphasize the potential of applying qualimetric forecast to food quality and safety. The authors have identified the main stages of product quality metrics forecasting to predict and achieve the desirable food quality in the most effective way possible. The proposed methods are a combination of qualifying methods and world’s best quality management tools and techniques. With the example of quality management in curd products at the development stage the authorship points out the indicators defining product quality and safety, ranks value in building product quality, gives a math formula to describe product quality and an algorithm to assess product quality based on a comprehensive quality indicator and deduce recommendations to achieve desirable and predictable product properties. The proposed stages of qualimetric forecasting, based on the integration of qualimetric models in quality management, have been tested on some curd products in production and proven to be practically effective.