Using project performance to measure effectiveness of quality management system maintenance and practices in construction industry.
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ABSTRACT:
SUBMITTER: Leong TK
PROVIDER: S-EPMC3950655 | biostudies-other | 2014
REPOSITORIES: biostudies-other
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Project description:The impact of total quality management on organizational performance has been studied extensively, however, the impact of total quality management initiatives on project performance is an area of ongoing research. The key objective of this research is to explore the impact of total quality management initiatives on project performance in the construction industry of Pakistan. Data was collected from 326 personnel working at different management levels across some of the leading construction firms operating in Pakistan. Analysis revealed that operational focus, management commitment, and employee involvement were deemed as dominant total quality management factors affecting project performance in the construction industry. Mediation analysis revealed a significant relationship between employee involvement and project performance mediated by management commitment. Research limitations and directions for future research have also been identified.
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Project description:School management is responsible and accountable for implementing educational policies into practice effectively and efficiently to provide quality education. Simultaneously, school management can grasp the core features of the whole school process and identify the relationship among three variables: quality management practices, school culture, and student performance. The current study aims to explore the school principals' perception about quality management practices and its relationship with school culture and student performance in the public secondary schools of Punjab province, Pakistan. In order to achieve the objectives of the study, the study adopted an exploratory sequential mix-methods research design. The researcher conducted a systematic literature review of sixty-three previous studies and interviews with eleven school principals for the qualitative data. Based on results obtained from the qualitative phase, a questionnaire was prepared and dispatched to 150 school principals to get quantitative data. Successively 120 valid responses were received. SEM analysis was performed to get quantitative results. The study's preliminary conclusion demonstrated a positive connection between quality management and student performance in public secondary schools, and quality management was also a significant predictor of school culture. Further, school culture served as a complete mediator between quality management and student performance.
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Project description:Featured Application This article is focused on a literature review to provide a valuable resource for understanding the latest developments in the Maintenance 4.0 approach. The conducted research will be helpful for many people, including maintenance managers, maintenance engineers, and researchers, who are interested in the issues of maintenance performance in the context of Industry 4.0 technologies implementation. The conducted literature review intends to introduce the readers to the major up-to-date theory and practice in Maintenance 4.0 main research directions. The presented study makes it possible to identify the thematic structure related to maintenance performance. In addition, it shows which topics from the studied scientific area are the most investigated in a given country/region. At the same time, the conducted analysis allowed the development of future research directions in the areas identified as research and knowledge gaps. Abstract Recently, there has been a growing interest in issues related to maintenance performance management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies indicate a lack of research on the systematic literature reviews and surveys of studies that would focus on the evolution of Industry 4.0 technologies used in the maintenance area in a cross-sectional manner. Therefore, the paper reviews the existing literature to present an up-to-date and content-relevant analysis in this field. The proposed methodology includes bibliometric performance analysis and a review of the systematic literature. First, the general bibliometric analysis was conducted based on the literature in Scopus and Web of Science databases. Later, the systematic search was performed using the Primo multi-search tool following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main inclusion criteria included the publication dates (studies published from 2012–2022), studies published in English, and studies found in the selected databases. In addition, the authors focused on research work within the scope of the Maintenance 4.0 study. Therefore, papers within the following research fields were selected: (a) augmented reality, (b) virtual reality, (c) system architecture, (d) data-driven decision, (e) Operator 4.0, and (f) cybersecurity. This resulted in the selection of the 214 most relevant papers in the investigated area. Finally, the selected articles in this review were categorized into five groups: (1) Data-driven decision-making in Maintenance 4.0, (2) Operator 4.0, (3) Virtual and Augmented reality in maintenance, (4) Maintenance system architecture, and (5) Cybersecurity in maintenance. The obtained results have led the authors to specify the main research problems and trends related to the analyzed area and to identify the main research gaps for future investigation from academic and engineering perspectives.
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2018-06-08 | GSE107767 | GEO