{"id":{"repo_id":"debrecen","oai_identifier":"oai:dea.lib.unideb.hu:2437/393065"},"canonical_url":"https://search.dev.ndltd.org/etd/debrecen/oai:dea.lib.unideb.hu:2437/393065","repository":{"repo_id":"debrecen","name":"University of Debrecen","base_url":"https://dea.lib.unideb.hu/server/oai/request"},"display":{"title":"Quality Management Bibliometric Analysis and Visualization","abstract":"This study examines the evolution of Quality Management Systems (QMS) into Quality 4.0, which integrates digital technologies like AI, IoT, and big data analytics. Using bibliometric analysis of research from 2020 to 2025, data from Scopus was analyzed with VOSviewer and CiteSpace to identify key trends and relationships. Results show a strong focus on technology integration within quality management, highlighted by clusters on AI in manufacturing, sustainable TQM, and digital supply chains. Despite the progress, gaps remain such as limited global diversity, few empirical case studies, and incomplete integration of digital tools into existing QMS. The research suggests updating standards like ISO 9001 to better align with digital transformation and emphasizes studying the impact of technology on workers. Overall, Quality 4.0 represents a major shift towards real-time, automated quality systems, combining human and AI collaboration. This analysis provides valuable insights into current trends and future research directions in quality management.","abstract_html":"This study examines the evolution of Quality Management Systems (QMS) into Quality 4.0, which integrates digital technologies like AI, IoT, and big data analytics. Using bibliometric analysis of research from 2020 to 2025, data from Scopus was analyzed with VOSviewer and CiteSpace to identify key trends and relationships. Results show a strong focus on technology integration within quality management, highlighted by clusters on AI in manufacturing, sustainable TQM, and digital supply chains. Despite the progress, gaps remain such as limited global diversity, few empirical case studies, and incomplete integration of digital tools into existing QMS. The research suggests updating standards like ISO 9001 to better align with digital transformation and emphasizes studying the impact of technology on workers. Overall, Quality 4.0 represents a major shift towards real-time, automated quality systems, combining human and AI collaboration. This analysis provides valuable insights into current trends and future research directions in quality management.","abstract_has_math":false,"creators":["Aljoab , Mohsen Saeed Mohammed"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"DE--Műszaki Kar","school":null,"contributors":[],"advisors":["Buri , Zsolt"],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-27T19:13:44Z","subjects":["Quality Management System (QMS)","Industry 4.0","Quality 4.0"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2437/393065","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Buri , Zsolt"]},{"key":"dc:contributor.department","label":"Department","values":["DE--Műszaki Kar"]},{"key":"dc:creator","label":"Author","values":["Aljoab , Mohsen Saeed Mohammed"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-06-17T12:47:18Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-06-17T12:47:18Z"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Quality Management System (QMS)","Industry 4.0","Quality 4.0"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/2437/393065"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study examines the evolution of Quality Management Systems (QMS) into Quality 4.0, which integrates digital technologies like AI, IoT, and big data analytics. Using bibliometric analysis of research from 2020 to 2025, data from Scopus was analyzed with VOSviewer and CiteSpace to identify key trends and relationships. Results show a strong focus on technology integration within quality management, highlighted by clusters on AI in manufacturing, sustainable TQM, and digital supply chains. Despite the progress, gaps remain such as limited global diversity, few empirical case studies, and incomplete integration of digital tools into existing QMS. The research suggests updating standards like ISO 9001 to better align with digital transformation and emphasizes studying the impact of technology on workers. Overall, Quality 4.0 represents a major shift towards real-time, automated quality systems, combining human and AI collaboration. This analysis provides valuable insights into current trends and future research directions in quality management."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["MSc/MA"]},{"key":"dc:title","label":"Title","values":["Quality Management Bibliometric Analysis and Visualization"]}]}],"canonical_facts":{"dc:contributor.advisor":["Buri , Zsolt"],"dc:contributor.department":["DE--Műszaki Kar"],"dc:creator":["Aljoab , Mohsen Saeed Mohammed"],"dc:date.accessioned":["2025-06-17T12:47:18Z"],"dc:date.available":["2025-06-17T12:47:18Z"],"dc:description.abstract":["This study examines the evolution of Quality Management Systems (QMS) into Quality 4.0, which integrates digital technologies like AI, IoT, and big data analytics. Using bibliometric analysis of research from 2020 to 2025, data from Scopus was analyzed with VOSviewer and CiteSpace to identify key trends and relationships. Results show a strong focus on technology integration within quality management, highlighted by clusters on AI in manufacturing, sustainable TQM, and digital supply chains. Despite the progress, gaps remain such as limited global diversity, few empirical case studies, and incomplete integration of digital tools into existing QMS. The research suggests updating standards like ISO 9001 to better align with digital transformation and emphasizes studying the impact of technology on workers. Overall, Quality 4.0 represents a major shift towards real-time, automated quality systems, combining human and AI collaboration. This analysis provides valuable insights into current trends and future research directions in quality management."],"dc:description.degree":["MSc/MA"],"dc:identifier.uri":["https://hdl.handle.net/2437/393065"],"dc:language.iso":["en"],"dc:subject":["Quality Management System (QMS)","Industry 4.0","Quality 4.0"],"dc:title":["Quality Management Bibliometric Analysis and Visualization"]},"updated_at":"2026-07-27T19:13:44Z"}