Total Quality Management (TQM) - Crossref Bibliographic Metadata
收藏NIAID Data Ecosystem2026-05-02 收录
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https://doi.org/10.7910/DVN/RILFTW
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This dataset provides detailed bibliographic metadata records for scholarly publications related to 'Total Quality Management' (TQM), as retrieved from Crossref.org. This metadata corpus facilitates in-depth exploration of the academic discourse surrounding TQM. Contextual Overview of Total Quality Management (TQM): 1. Definition and Context: Total Quality Management (TQM) is an organization-wide management philosophy centered on continuous improvement in all aspects of work, customer satisfaction, and employee involvement. Its core aim is to integrate all quality-related functions and processes throughout the company. While its principles have roots in earlier quality control movements, TQM gained significant global traction from the 1980s, influenced by Japanese quality practices and thinkers like Deming, Juran, and Crosby. 2. Strengths and Weaknesses: TQM's strengths include fostering a culture of quality, enhancing customer loyalty, reducing defects and waste, and improving employee morale through empowerment. However, implementation can be lengthy, resource-intensive, and require substantial cultural change. Challenges include maintaining momentum, potential for "quality bureaucracy" if not managed well, and difficulty in measuring intangible benefits. Its success often depends on unwavering top management commitment and genuine employee participation. 3. Relevance and Research Potential: TQM principles remain foundational to modern quality management systems like ISO 9000, Lean, and Six Sigma, influencing sectors beyond manufacturing, including services and healthcare. It contributes significantly to operations management and organizational behavior theories. Research continues on TQM's evolution in the digital age, its integration with sustainability and corporate social responsibility, its impact on innovation, and comparative studies of its long-term efficacy across different organizational and national cultures. Dataset Structure and Content: The dataset consists of one or more archives. Each archive contains a series of approximately 850 monthly folders (e.g., spanning from January 1950 to January 2025), reflecting a granular month-by-month process of metadata retrieval and curation for TQM. Within each monthly folder, users will find several JSON files documenting the search and filtering process for that specific month: term_results/: A subfolder containing JSON files for results of initial broad keyword searches related to TQM. merged_results.json: Aggregated results from these individual term searches before advanced filtering. filtered_results.json: Results after applying a more specific, complex Boolean query (e.g., ("total quality management" OR TQM ...) AND ("system" OR ...)) and exact phrase matching to refine relevance. The exact query used is detailed within this file. final_results.json: This is the primary file of interest for most users. It contains the curated, deduplicated (by DOI) list of unique publication metadata records deemed most relevant to 'Total Quality Management' for that specific month. Includes fields like Title, Authors, DOI, Publication Date, Source Title, Abstract (if available from Crossref). statistics_results.json: Summary statistics of the search and filtering process for the month. This granular monthly structure allows researchers to trace the evolution of academic discourse on TQM and identify relevant publications with high temporal precision. For an overview of the general retrieval methodology, refer to the parent Dataverse description (Management Tool Bibliographic Metadata (Crossref)). Users interested in aggregated publication counts or trend analysis for TQM should consult the corresponding datasets in the Raw Extracts Dataverse and the Comparative Indices Dataverse.
创建时间:
2025-05-07



