Quality Management Maturity Research Articles

Project Management Maturity and Performance of Building Construction Projects in Myanmar

Maturity models are credited with raising project management awareness, but no conclusive evidence supports their use as a tool for performance enhancement in construction project settings. The present study thus examined the influence of time, cost, and quality management maturity on performance indices of building construction projects in Myanmar. The study further assessed how maturity in time, cost, and quality varied between public and private construction organizations. Four building construction projects, i.e., two operated by private construction organizations and two operated by public construction organizations in Myanmar, have been chosen for the data collection. The project manager and an individual from the upper management of each project were interviewed in three stages to obtain the maturity level. The performance indices of each project were evaluated quantitatively. The study’s findings revealed a positive relationship between project management maturity and project performance. Specifically, a higher time management maturity contributed to greater time performance, and elevated cost management maturity projected higher cost performance. Contrary to the expectations, the study could not find a significant relationship between quality management maturity and quality performance. The results further revealed that the average time management maturity of public construction organizations was significantly higher. Still, the average cost and quality management maturity were considerably lower than that of private construction organizations. The construction organizations aiming to enhance the project performance should focus on reaching a higher maturity in time and cost management knowledge areas.

Lessons from CDER’s Quality Management Maturity Pilot Programs

Between October 2020 and March 2022, FDA’s Center for Drug Evaluation and Research (CDER) completed two pilot programs to assess the quality management maturity (QMM) of drug manufacturing establishments. Mature quality systems promote proactive detection of vulnerabilities, prevent problems before they occur, and foster a culture that rewards process and system improvements. A CDER QMM program may help to advance supply chain resiliency and robustness and mitigate drug shortages. One pilot program evaluated seven establishments located within the U.S. that produce finished dosage form products marketed in the U.S. A second pilot program evaluated eight establishments located outside the U.S. that produce active pharmaceutical ingredients used in drug products marketed in the U.S. The execution of these pilot programs afforded FDA the opportunity to learn important lessons about the establishment QMM assessment process, scoring approach, assessor behaviors, and perceptions of the assessment questions, reports, and ratings. Many of the participating establishments reported that the QMM pilot assessments helped to identify their strengths, weaknesses, and new areas for improvement which they had not previously identified through internal audits or CGMP inspections. There has been a great deal of interest in the outcomes of CDER’s QMM pilot programs and this paper describes, for the first time, the lessons CDER learned and will continue to heed in the development of a QMM program.Graphical

Data Quality Management Strategy To Improve Remote Sensing Data Quality: A Case Study On National Remote Sensing Data Bank

National Remote Sensing Data Bank (Bank Data Penginderaan Jauh Nasional; BDPJN) is the operational implementer in the field of remote sensing to meet the needs of national data on remote sensing images. Remote sensing images are essential in the Indonesian government for various needs, such as in regional (spatial planning, city boundaries), disaster (forest fires, floods, landslides, earthquakes, volcanic eruptions), plantation, natural resources, and environment sectors. Quality management of BDPJN’s satellite images becomes challenging due to the increasing number of products owned and users annually. For this reason, a data quality management strategy is needed to guarantee and improve the quality of BDPJN data. To develop such a strategy, an assessment of the maturity of BDPJN’s data quality man- agement was conducted from the aspect of data processing by implementing Loshin’s Data Quality Management Maturity Model (DQM3) to find out the characteristics that were lacking. The results were then mapped based on Data Quality Management (DQM) activities in DAMA-DMBOK as a recommendation for data quality management strategies. This study applies quantitative research where data collection was done by distributing questionnaires to 24 respondents who are data stewards of medium, high, and very high-resolution mosaic images. Based on the assessment, BDPJN is in the maturity level of Defined to Managed. The recommendations are 21 DQM activities that can be carried out to improve BDPJN data quality.

Benchmarking the Quality Practices of Global Pharmaceutical Manufacturing to Advance Supply Chain Resilience.

Over the past several decades, pharmaceutical manufacturing has become increasingly global and supply chains have become longer, more complex, and fragmented. While pharmaceutical products available to patients and customers typically conform with appropriate standards, supply chains are often affected by disruptive events and shocks that impact public health. One approach to assuring the availability of quality pharmaceutical products is to encourage drug manufacturers to invest in quality management maturity (QMM) and promote continual improvement. The interests of patients are served by risk-based drug shortage prevention and mitigation activities that help to proactively manage supply chain complexities and ensure availability of drugs. This paper demonstrates that adherence to certain quality practices enables improved manufacturing performance. Prior research has identified quality practices that are correlated with manufacturing performance. To better understand how these quality practices can be characterized, measured, and analyzed, this research project conducted a voluntary global study of pharmaceutical manufacturing establishments. Over 200 global pharmaceutical manufacturing establishments participated in this Quality Benchmarking Study (QBS) and provided data on manufacturing performance and self-assessments of adherence to quality practices. The analysis of these data found that the implementation level for selected quality management practices correlates positively with certain Key Performance Indicators (KPIs). More specifically, we found a significant positive correlation between (i) Delivery Performance and (ii) Application of QMM principles associated with Technical Production.Graphical abstract

Exploring the Maturity of Quality Management in Saudi Healthcare: A Mixed Methods Approach

In Saudi Arabia, managing the quality of healthcare was considered decades ago. Yet, internal and external consumers were not fully in favour of management efforts and practises. The current study was initiated by quantitatively analysing patients’ complaints that pointed out weaknesses in non-clinical services, which was assumed to be an indicator of weakness in quality management (QM). A mixed-methods approach triangulated patients’ complaints with managers’ experience to cast light on the maturity level of QM. Interpretive phenomenological analysis explored managers’ knowledge of quality concepts along with their involvement in QM. The experience of 24 managers with QM was categorised into four themes: (a) misunderstanding, for example, accreditation; (b) misconception, for example, employees’ empowerment; (c) misrecognition, for example, cost of poor quality and (d) conceptuality, for example, external threats. The current findings detected immature QM systems that would hinder the employment of quality principles. Therefore, despite the efforts and resources dedicated to the implementation of quality practises, such efforts would still fall far below expectations unless managers learn how to enable employees to do their work effectively rather than instructing them to do their work in compliance with quality requirements.

Aspectos evolutivos na criação e regularização das cooperativas da agricultura familiar do estado de Alagoas

As cooperativas da agricultura familiar na última década tem apresentado um papel fundamentação para o escoamento da produção da agricultura familiar. Esse estudo tem o objetivo de analisar os aspectos evolutivo na criação e regularização das cooperativas da agricultura familiar do Estado de Alagoas. Para atingir o objetivo, utilizou como instrumento de coleta de dados, questionário de pesquisas exploratória descritivo de natureza qualitativa. Os resultados apontaram que houve uma evolução significativa na criação e regularização dessas cooperativas na últimas duas década, essa evolução se deu basicamente por dois motivos: o primeiro devido a criação de políticas de comercialização como por exemplo o PAA e o PNAE; e, segundo, pôr as cooperativas apresentarem uma maior segurança jurídica. A manutenção dessas cooperativas regularizadas no âmbito fiscal, tributário, sanitário e ambiental é primordial, porém, depende da manutenção das políticas governamentais de comercialização, do intercooperativíssimo e abertura de novos mercados.

The Linkages Between Commitment to Sustainability, Organizational Culture, Quality Management, and Organizational Performance

The growing economic pressures, rising awareness of the importance of environmental protection, and stringent global regulations are leading to more integration of sustainability initiatives into corporate strategies across multiple industries. These sustainability initiatives can alter organization cultures and affect employee perceptions and organizational outcomes. In this study, 331 respondents from a wide variety of industries in the South were surveyed. Results showed that companies’ overall green/sustainability orientation is related to organizational culture, quality management maturity, and companies’ performance. The findings implied that it is imperative to develop an organizational culture that is supportive of quality and sustainability to ensure the success of the green initiatives.

Contribuição das boas práticas de fabricação para a gestão da qualidade na cooperativa Cotrisel

Este estudo teve como objetivo compreender a contribuição do programa de Boas Práticas de Fabricação (BPF) para a implantação de um sistema de gestão da qualidade na unidade da cooperativa Cotrisel situada no município de Restinga Sêca. O estudo de caso permitiu a integração da teoria e da prática por meio de observação direta e participante, entrevistas semiestruturadas e pesquisa documental e bibliográfica. Verificou-se que as BPF estimularam a formulação de padrões de procedimentos e estão desenvolvendo a cultura da melhoria contínua. O alinhamento da documentação das BPF com os pré-requisitos da norma NBR 22002 indica que a cooperativa está em um nível de maturidade da gestão da qualidade que favorece a implantação de um sistema formal de gestão.

Implementacija sistema upravljanja kvalitetom i nivo zrelosti preduzeća u industriji mleka u Republici Srbiji

The aim of this paper is to point out the existence of differences in the application of quality management systems as well as the level of maturity in the companies of the dairy industry in the Republic of Serbia. The initial assumption is based on the defined goal which states that the application of quality management systems and the level of maturity in these companies differ depending on their size. The research was conducted on the basis of QMMG - Quality Management Maturity Grid model of maturity. The initial assumption test was performed using the Kruskal-Wallis test as a nonparametric alternative to one-way analysis of variance of different groups. In addition to this method, the methods analysis, the synthesis method and descriptive statistics were also used. Using the mentioned statistical methods, six aspects of the quality management system were processed (Management understanding and attitude, Quality organisation status, Problem handling, Cost of quality as percent of sales, Quality improvement actions and Summary of company quality posture) as well as the entire quality management system in selected companies. Statistically significant deviations were found in five of the six aspects as well as in the overall quality management system. The contribution of this research is reflected in the diagnosis of the level of maturity in the companies covered by this research together with the possibility of improving certain aspects of the quality management system in order to develop the skills needed to increase the companies ' quality performance.

Relationship between quality management practices, performance and maturity quality management, a contingency approach

Quality Management is a key element in the organization that allows for the improvement of operational performance, product quality and organizational performance. Likewise, evidence concluding that not all implementations of quality management system generate positive effects has been found, so it is necessary to introduce contingent variables in the studies that allow an understanding of the different situations that can define which variables are more relevant according to the studied contingency. In this sense Sfreddo et al. (2018) and Sousa and Voss (2002) propose to include the variable of quality maturity level as a contingency variable in order to determine which Quality Management practices (QM practices) are more relevant according to the level of maturity of the organizations, an issue that has been the basis for the development of other models of maturity in other fields of management. The result has demonstrated that the effects of benefits in the operative performance are presented in the levels of high maturity, in changes in the levels below these do not present a significant relation. This will allow the development of the basis for the elaboration of a quality management maturity model.

Data Quality Management in Educational Data

Every varsity in Indonesia is responsible for ensuring the completeness, the validity, the accuracy, and the currency of its educational data. The educational data is used for implementing higher-education quality assurance system and formulating policies related to universities and majors in Indonesia. Data quality assessment result indicates that educational data in Statistics Polytechnic did not meet completeness, validity, accuracy, and currency criteria. Data quality management maturity has been measured using Loshin’s Data Quality Maturity Model which result is in level 1 to level 2 of maturity. Only the data quality dimensions component has achieved the expected target. Thus, recommendations have been proposed based on the DAMA-DMBOK framework. The activities needed to be carried out are developing and promoting awareness of data quality; defining data quality requirements; profiling, analyzing, and evaluating data quality; define business rules for data quality, establish, and evaluate the data quality services levels, manage problems related to data quality, design and implement operational procedures for data quality management, and monitor operations and performance of data quality management procedures.

Data Quality Management Maturity Measurement of Government-Owned Property Transaction in BMKG

Government-Owned Property (GOP) management, including the bookkeeping of GOP transaction, is part of GOP Officer responsibility to ensure the quality of transaction data. This responsibility also applies to GOP Officer in Indonesian Agency for Meteorological, Climatological and Geophysics ‘Badan Meteorologi, Klimatologi, dan Geofisika’ (BMKG). GOP data as the source for the Central Government Financial Report is expected to be well-maintained. It must be presented as accurate as possible, although there are still inaccurate data presented in the latest BMKG GOP Report. This qualitative research using document study and some interview sessions aims to measure how well the Data Quality Management (DQM) maturity of GOP transaction in BMKG using Loshin’s Data Quality Maturity model. Thus, the result of maturity assessment is analyzed to recommend and implement DQM activities from the Data Management Body of Knowledge (DMBOK). The purpose is to improve GOP DQM. The research shows that the level of DQM maturity is at a repeatable level to defined level. Moreover, 52 maturity characteristics need to be followed through with DQM activities.

Quality costing and quality management maturity in Greece

PurposeThe purpose of this paper is to explore how the sophistication of a quality costing system depends on the quality management maturity (QMM) level in Food and Beverage (F&B) enterprises. Since no previous research has taken place in this area, the paper aims at analyzing the relationships between quality costing and the specific variables that define the various maturity stages.Design/methodology/approachA structured questionnaire was used to survey 457 F&B companies. This produced 104 usable responses (23 percent response rate). Multidimensional correspondence analysis (MCA) with hierarchical cluster analysis (HCA) were used to detect and represent underlying structures in the categorical data set and to detect possible clusters between variables.FindingsThe more mature a company’s QMM, the more emphasis they placed on appraisal quality costs and effective use of quality costs information. Prevention costs have no statistically significant connection with the level of maturity. A generalized “expensive” use of quality costing, with no focus on problematic areas and possible solutions, does not always lead to the resolution of problems.Research limitations/implicationsA complicated – and some think unfair – tax system, combined with limited cash liquidity constitutes an unstable environment for Greek companies, in which they have to survive and develop. This environment does not support quality costing, thus resulting in limited interest by company management in participating in the authors’ research. Furthermore, the Greek Uniform Chart of Accounts and the Greek Accounting Standards do not include specific quality-related accounts, making it difficult for companies to measure quality costs and for researchers to investigate the quality costing field.Originality/valueIt is the first time that QMM levels of Greek F&B companies have been reported. The research explores the characteristics that a quality costing system of Greek F&B organizations develop at the various maturity levels. The analysis uses an exploratory method – MCA – which can highlight intense correspondences of characteristics and clusters, which cannot be predicted in advance.

Assessment Model of Contractor Quality Management Maturity

One of the most important parts of a project management is the quality management. While it is absolutely necessary to conduct a thorough research on the maturity of quality management in construction companies, especially contractors so that construction companies know at what level of their company quality, this has an effect on building customer perceptions of their companies and the business of the company itself to continue to grow to be able to reach the highest maturity level. This paper aims to propose an assessment model of contractor quality management maturity (QMM) that covers both the corporate and project levels of a construction project. Determination of research variables was conducted with the study of literature in depth and validated by experts. Weighting variables by pairwise comparison method were based on interviews with experts and was represented in the form of a spider web. For model validation, case studies of large state-owned contractors and a medium-sized private contractor in Surabaya were used. The weighting for QMM assessment on contractors is 43% on corporate level and 57% on project level. In corporate level there are 10 variables with each weighting: People and Customer Management (2.9%), Supplier Partnership (1.6%), Communication of Improvement Information (2.4%), Customer Satisfaction Orientation (5.3%), External Interface Management (1.4%), Strategic Quality Management (6.2%), Team Work Structures for Improvement (4.3%), Operational Quality Planning (4.4%), Quality Improvement Measurement System (8.2%), and Corporate Quality Culture (6.3%). Project level quality consists of 39% for product quality and 18% for service quality. In the project level there are 8 variables for product quality: Performance (9.0%), Features (4.1%), Reliability (8.0%), Conformance (5.6%), Durability (4.5%), Serviceability (3.0%), Aesthetics (1.7%), Perceived Quality (3.1%). While the service quality consists of 5 variables: Service Reliability (4.9%), Responsiveness (2.7%), Assurance (5.7%), Emphaty (1.8%), and Tangibles (2.8%).

National Cultural Dimensions and their Impact on Quality Management Maturity and Project Quality Performance: Focusing on ITER Project

National Cultural Dimensions and their Impact on Quality Management Maturity and Project Quality Performance: Focusing on ITER Project

A Study on the Problem Analysis and Improvement Plan of the Data Quality Management System of National R&D Data

National Science and Technology Information Service (NTIS) is constructed and operated to provide a comprehensive data provider service of national R&D data for improving the performance of the national R&D projects and disseminating the co-utilization of the national R&D data nationwide in Korea. The national R&D data is collected from 17 government departments and agencies. With the spread of the Government 3.0 paradigm, the demand for data sharing and utilization is being increased. However, the immature of the data quality management process for the public data hinders the progress on the data openness. This research presents the problems of the data quality management via a study on the current data quality management process/system of the national R&D data and proposes an improvement plan for the data quality management. In addition, DQC-M (Database Quality Certification-Management), which is a representative evaluation and certification model for assessing the quality and maturity of data quality management, is used to find insufficiency through the evaluation of the quality and matureness of the data quality management of NTIS service.

A fuzzy quality cost estimation method

Quality cost control is one of the most important aspects in the development of a quality management system. This paper presents a method for the estimation of quality cost that aims to take into account the so-called hidden quality costs, which are typically unobserved or unknown. Although this is a subject that has already been approached in other studies, subjectivity and uncertainty are not included in their formal approach, which any attempt to address hidden quality costs should include. Our methodology begins by observing the position each business occupies in Crosby's Quality Management Maturity Grid. Obtaining the stage index on the basis of the experts' opinions permits the valuation of the company's membership for each of the stages of Crosby's Maturity Grid. The application of Crosby's corrector coefficient to an adequate weighting of the stage index makes it possible to obtain the fuzzy number quality cost. The measures obtained and their short-term predictions enable us to know the situation at all times and act accordingly, establishing precise corrective plans that will correct tendencies and make continuous improvement possible.

Research on the information quality management maturity for S&T information resource sharing projects in China

The problems associated with information quality (IQ) have become prominent restraints for China's efforts for promoting science and technology (S&T) information resource sharing. Due to the traditional quality management has shortcoming in terms of quality issues in solving the information sharing items. In this paper, we draw on the experience of methods and tools in the information quality management maturity (IQMM) from some scholars. A framework of IQMM assessment is proposed, which is focused on the maturity features, constituent elements, key links and processes and evaluation criteria and methods of maturity levels of IQMM to provide effective strategies and measures to improve IQ in the S&T information resource-sharing construction. This paper finally presents the preliminary results of a case study, where IQMM assessment is applied to some of the specific S&T information resource sharing management projects in the national program National Science and Technology Foundation Platform in China, to improve IQ continuously.

Quality Management: How do Brazilian Companies Use it?

For more than 30 years, Total Quality Management (TQM) has been recognized as strategic for organizations worldwide. However, a significant number of Quality Management (QM) initiatives have still not been successful. Some authors argue that this number can achieve more than 60% of the implemented cases. This paper aims at describing how Brazilian Companies use Quality Management Practices. By conducting a survey with 125 respondents, the current status of Quality Management Practices utilization in Brazil was investigated. The analysis of QM practices reveals that companies prefer the usage and give more importance to soft practices such as teamwork and customer focus. On the other hand, companies give less importance to and do not use hard practices such as Analysis of Variance and Six Sigma. According to the respondents, Brazilian companies are at a middle stage of QM maturity level: more than 30% attest that their companies are at “inspection” age and less than 20% state that their companies have achieved strategic quality management. This unsatisfactory level of QM maturity can mean that Brazilian companies manage quality with more focus on inspection and control than quality assurance and strategic management. Therefore “improvement” in this context can mean bringing the operation back to the standard than indeed improving the standard. Finally, future research derived from these findings could investigate how QM practices would be effectively used and help companies to achieve higher QM maturity levels and strategic quality management.

DUQuE quality management measures: associations between quality management at hospital and pathway levels

ObjectiveThe assessment of integral quality management (QM) in a hospital requires measurement and monitoring from different perspectives and at various levels of care delivery. Within the DUQuE project (Deepening our Understanding of Quality improvement in Europe), seven measures for QM were developed. This study investigates the relationships between the various quality measures.DesignIt is a multi-level, cross-sectional, mixed-method study.Setting and ParticipantsAs part of the DUQuE project, we invited a random sample of 74 hospitals in 7 countries. The quality managers of these hospitals were the main respondents. Furthermore, data of site visits of external surveyors assessing the participating hospitals were used.Main Outcome MeasuresThree measures of QM at hospitals level focusing on integral systems (QMSI), compliance with the Plan-Do-Study-Act quality improvement cycle (QMCI) and implementation of clinical quality (CQII). Four measures of QM activities at care pathway level focusing on Specialized expertise and responsibility (SER), Evidence-based organization of pathways (EBOP), Patient safety strategies (PSS) and Clinical review (CR).ResultsPositive significant associations were found between the three hospitals level QM measures. Results of the relationships between levels were mixed and showed most associations between QMCI and department-level QM measures for all four types of departments. QMSI was associated with PSS in all types of departments.ConclusionBy using the seven measures of QM, it is possible to get a more comprehensive picture of the maturity of QM in hospitals, with regard to the different levels and across various types of hospital departments.