This dataset provides processed and normalized/standardized indices for the management tool group 'Total Quality Management' (TQM). Derived from five distinct raw data sources, these indices are specifically designed for comparative longitudinal analysis, enabling the examination of trends and relationships across different empirical domains (web search, literature, academic publishing, and executive adoption). The data presented here represent transformed versions of the original source data, aimed at achieving metric comparability. Users requiring the unprocessed source data should consult the corresponding TQM dataset in the Management Tool Source Data (Raw Extracts) Dataverse. Data Files and Processing Methodologies: Google Trends File (Prefix: GT_): Normalized Relative Search Interest (RSI) Input Data: Native monthly RSI values from Google Trends (Jan 2004 - Jan 2025) for the query "total quality management" + TQM + "TQM system". Processing: None. Utilizes the original base-100 normalized Google Trends index. Output Metric: Monthly Normalized RSI (Base 100). Frequency: Monthly. Google Books Ngram Viewer File (Prefix: GB_): Normalized Relative Frequency Input Data: Annual relative frequency values from Google Books Ngram Viewer (1950-2022, English corpus, no smoothing) for the query Total Quality Management + TQM + Total Quality. Processing: Annual relative frequency series normalized (peak year = 100). Output Metric: Annual Normalized Relative Frequency Index (Base 100). Frequency: Annual. Crossref.org File (Prefix: CR_): Normalized Relative Publication Share Index Input Data: Absolute monthly publication counts matching TQM-related keywords [("total quality management" OR ...) AND (...) - see raw data for full query] in titles/abstracts (1950-2025), alongside total monthly Crossref publications. Deduplicated via DOIs. Processing: Monthly relative share calculated (TQM Count / Total Count). Monthly relative share series normalized (peak month's share = 100). Output Metric: Monthly Normalized Relative Publication Share Index (Base 100). Frequency: Monthly. Bain & Co. Survey - Usability File (Prefix: BU_): Normalized Usability Index Input Data: Original usability percentages (%) from Bain surveys for specific years: Total Quality Management (1993, 1999, 2000, 2002, 2006, 2008, 2010, 2012, 2014, 2017, 2022); TQM (1996, 2004). Processing: Semantic Grouping: Data points for "Total Quality Management" and "TQM" were treated as a single conceptual series. Normalization: Combined series normalized relative to its historical peak (Max % = 100). Output Metric: Biennial Estimated Normalized Usability Index (Base 100 relative to historical peak). Frequency: Biennial (Approx.). Bain & Co. Survey - Satisfaction File (Prefix: BS_): Standardized Satisfaction Index Input Data: Original average satisfaction scores (1-5 scale) from Bain surveys for specific years: Total Quality Management (1993-2022, excluding 1996, 2004); TQM (1996, 2004). Processing: Semantic Grouping: Data points treated as a single conceptual series. Standardization (Z-scores): Using Z = (X - 3.0) / 0.891609. Index Scale Transformation: Index = 50 + (Z * 22). Output Metric: Biennial Standardized Satisfaction Index (Center=50, Range?[1,100]). Frequency: Biennial (Approx.). File Naming Convention: Files generally follow the pattern: PREFIX_Tool_Processed.csv or similar, where the PREFIX indicates the data source (GT_, GB_, CR_, BU_, BS_). Consult the parent Dataverse description (Management Tool Comparative Indices) for general context and the methodological disclaimer. For original extraction details (specific keywords, URLs, etc.), refer to the corresponding TQM dataset in the Raw Extracts Dataverse. Comprehensive project documentation provides full details on all processing steps.

This dataset contains raw, unprocessed data files pertaining to the management tool group 'Total Quality Management' (TQM). The data originates from five distinct sources, each reflecting different facets of the tool's prominence and usage over time. Files preserve the original metrics and temporal granularity before any comparative normalization or harmonization. Data Sources & File Details: Google Trends File (Prefix: GT_): Metric: Relative Search Interest (RSI) Index (0-100 scale). Keywords Used: "total quality management" + TQM + "TQM system" Time Period: January 2004 - January 2025 (Native Monthly Resolution). Scope: Global Web Search, broad categorization. Extraction Date: Data extracted January 2025. Notes: Index relative to peak interest within the period for these terms. Reflects public/professional search interest trends. Based on probabilistic sampling. Source URL: Google Trends Query Google Books Ngram Viewer File (Prefix: GB_): Metric: Annual Relative Frequency (% of total n-grams in the corpus). Keywords Used: Total Quality Management + TQM + Total Quality Time Period: 1950 - 2022 (Annual Resolution). Corpus: English. Parameters: Case Insensitive OFF, Smoothing 0. Extraction Date: Data extracted January 2025. Notes: Reflects term usage frequency in Google's digitized book corpus. Subject to corpus limitations (English bias, coverage). Source URL: Ngram Viewer Query Crossref.org File (Prefix: CR_): Metric: Absolute count of publications per month matching keywords. Keywords Used: ("total quality management" OR "total quality" OR TQM) AND ("management" OR "system" OR "approach" OR "implementation" OR "practice" OR "framework" OR "methodology" OR "tool") Time Period: 1950 - 2025 (Queried for monthly counts based on publication date metadata). Search Fields: Title, Abstract. Extraction Date: Data extracted January 2025. Notes: Reflects volume of relevant academic publications indexed by Crossref. Deduplicated using DOIs; records without DOIs omitted. Source URL: Crossref Search Query Bain & Co. Survey - Usability File (Prefix: BU_): Metric: Original Percentage (%) of executives reporting tool usage. Tool Names/Years Included: Total Quality Management (1993, 1999, 2000, 2002, 2006, 2008, 2010, 2012, 2014, 2017, 2022); TQM (1996, 2004). Respondent Profile: CEOs, CFOs, COOs, other senior leaders; global, multi-sector. Source: Bain & Company Management Tools & Trends publications (Rigby D., Bilodeau B., Ronan C. et al., various years: 1994, 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017, 2023). Data Compilation Period: July 2024 - January 2025. Notes: Data points correspond to specific survey years. Sample sizes: 1993/500; 1996/784; 1999/475; 2000/214; 2002/708; 2004/960; 2006/1221; 2008/1430; 2010/1230; 2012/1208; 2014/1067; 2017/1268; 2022/1068. Bain & Co. Survey - Satisfaction File (Prefix: BS_): Metric: Original Average Satisfaction Score (Scale 0-5). Tool Names/Years Included: Total Quality Management (1993, 1999, 2000, 2002, 2006, 2008, 2010, 2012, 2014, 2017, 2022); TQM (1996, 2004). Respondent Profile: CEOs, CFOs, COOs, other senior leaders; global, multi-sector. Source: Bain & Company Management Tools & Trends publications (Rigby D., Bilodeau B., Ronan C. et al., various years: 1994, 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2015, 2017, 2023). Data Compilation Period: July 2024 - January 2025. Notes: Data points correspond to specific survey years. Sample sizes: 1993/500; 1996/784; 1999/475; 2000/214; 2002/708; 2004/960; 2006/1221; 2008/1430; 2010/1230; 2012/1208; 2014/1067; 2017/1268; 2022/1068. Reflects subjective executive perception of utility. File Naming Convention: Files generally follow the pattern: PREFIX_Tool.csv, where the PREFIX indicates the data source: GT_: Google Trends GB_: Google Books Ngram CR_: Crossref.org (Count Data for this Raw Dataset) BU_: Bain & Company Survey (Usability) BS_: Bain & Company Survey (Satisfaction) The essential identification comes from the PREFIX and the Tool Name segment. This dataset resides within the 'Management Tool Source Data (Raw Extracts)' Dataverse.

The Total Quality Management (TQM) System market is experiencing robust growth, driven by increasing demand for enhanced product quality, operational efficiency, and regulatory compliance across diverse sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors. The expanding adoption of cloud-based TQM solutions offers scalability, accessibility, and cost-effectiveness, particularly appealing to SMEs. Furthermore, rising consumer expectations for higher product quality and stricter regulatory frameworks across industries like healthcare and food production are significantly impacting market expansion. The increasing adoption of Industry 4.0 technologies, including AI and IoT, further enhances TQM capabilities, enabling predictive maintenance, real-time data analysis, and improved decision-making. While the initial investment in TQM systems can be substantial, the long-term benefits in terms of reduced defects, improved productivity, and enhanced brand reputation outweigh the costs. The market is segmented by deployment (cloud-based and on-premises) and application (healthcare, food production, field service, and others), with the cloud-based segment experiencing faster growth due to its inherent advantages. Geographically, North America and Europe currently hold significant market share, though Asia-Pacific is expected to witness substantial growth driven by rapid industrialization and economic expansion. The competitive landscape is characterized by a mix of established players and emerging technology providers. Major vendors are focusing on developing innovative solutions and expanding their geographical reach to maintain their market position. The focus on strategic partnerships, mergers, and acquisitions is expected to further consolidate the market. However, factors like the complexity of TQM implementation, the need for skilled personnel, and the potential resistance to change within organizations could potentially restrain market growth. Despite these challenges, the long-term outlook for the TQM System market remains positive, with continued growth anticipated throughout the forecast period. The market's evolution is closely tied to the broader technological advancements and the increasing emphasis on quality and compliance across global industries.

The Total Quality Management (TQM) System market is experiencing robust growth, driven by increasing demand for improved product quality, enhanced operational efficiency, and strengthened regulatory compliance across diverse industries. The market's expansion is fueled by the widespread adoption of advanced technologies like AI and machine learning for quality control, predictive maintenance, and data analytics. Businesses are increasingly recognizing the strategic importance of TQM in gaining a competitive edge, reducing operational costs, and improving customer satisfaction. This is leading to significant investment in TQM software and services, fostering market expansion. While the initial investment in implementing TQM systems can be substantial, the long-term returns in terms of reduced defects, improved productivity, and enhanced brand reputation far outweigh the costs. The market is segmented by industry (e.g., manufacturing, healthcare, automotive), deployment type (cloud, on-premise), and component (software, services). Key players are continuously innovating to offer comprehensive, scalable solutions tailored to specific industry needs. This includes advancements in data visualization, integration with existing enterprise resource planning (ERP) systems, and improved user experience. The competitive landscape is characterized by a mix of established players and emerging technology providers. Established players like MasterControl and Dassault Systèmes leverage their existing customer base and brand reputation, while newer entrants focus on offering niche solutions or innovative technologies. The market's growth is expected to continue at a healthy CAGR, driven by factors such as increasing globalization, rising consumer expectations, and the growing adoption of Industry 4.0 technologies. However, challenges remain, including the complexity of implementing TQM systems, the need for skilled personnel, and the potential for resistance to change within organizations. Nevertheless, the long-term outlook for the TQM system market remains positive, with significant growth opportunities across various regions and industries. Strategic partnerships and acquisitions are likely to play a significant role in shaping the market dynamics in the coming years.

Explore Developing new products with TQM through data • Key facts: author, publication date, book publisher, book series, book subjects • Real-time news, visualizations and datasets

Market Overview Total Quality Management (TQM) software has witnessed robust growth, with a global market size of XXX million (Forecast Period: 2025-2033) and a CAGR of XX%. The growing demand for quality improvement and certification across industries fuels the expansion. Cloud-based TQM solutions dominate the market, offering scalability and cost-effectiveness. Key market drivers include the need for regulatory compliance, increased customer expectations, and the adoption of lean manufacturing principles. Market Trends and Dynamics The TQM software market is evolving with the emergence of AI and machine learning technologies. These advancements enable automated data analysis, predictive insights, and personalized quality recommendations. Additionally, the healthcare and food production industries are witnessing significant growth in TQM software due to stringent regulations and the need for product safety. The shift towards remote work and field-based operations also drives demand for cloud-based TQM solutions that provide remote access and collaboration capabilities. Despite the growing opportunities, challenges such as data integration complexities and the lack of skilled professionals can hinder market growth. The key segments include MasterControl, System100, and Harrington Group International, among others. Regional analysis reveals a strong market presence in North America and Europe, with emerging markets in Asia Pacific also gaining traction. Total Quality Management (TQM) software is pivotal in helping organizations enhance efficiency, reduce costs, and improve customer satisfaction. The market for TQM software is witnessing significant expansion, driven by the growing focus on quality management and regulatory compliance.

The increasingly unpredictable business environment compels organizations to incorporate sustainability into their strategic management, simultaneously balancing economic, social, and environmental objectives. This study investigates the direct and indirect effects of Total Quality Management (TQM) and Knowledge Management (KM) on sustainability management in Indonesian business organizations. Grounded in the Knowledge-Based Theory (KBT), the research adopts a survey-based quantitative approach, collecting 389 valid responses from employees across diverse industries. Partial Least Squares Structural Equation Modeling (PLS-SEM) reveals TQM exerts a positive direct impact on economic and environmental sustainability, whereas KM directly and significantly influences all three sustainability dimensions. Moreover, TQM influences KM with a dominant effect, which in turn strengthens its influence on sustainability performance. These findings highlight the necessity for organizations to integrate TQM with KM for optimal, long-term sustainability outcomes.Keywords: total quality management, knowledge management, sustainability management.

This dataset is about stocks per day. It has 3,456 rows and is filtered where the stock is TQM.F. It features 3 columns: stock, and highest price.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

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.

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The PERM Sponsorship Trends linear chart visualizes the number of PERM cases filed by Tqm North America from 2020 to 2023, highlighting the company’s long-term sponsorship patterns. The horizontal bar chart titled Distribution of Job Fields Receiving PERM Sponsorship further categorizes sponsored roles by job type.

Information Horizons: AMERICAN Journal of Library and Information Science Innovation

The H1B Sponsorship Trends linear chart shows the number of H1B cases filed by Tqm North America from 2020 to 2023, providing a clear view of filing trends over time. Alongside, the horizontal bar chart titled Distribution of Job Fields Receiving H1B Sponsorship breaks down which roles and industries are most commonly sponsored.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is TQM.F. The data is about stocks per day.

This line chart displays highest price by date using the aggregation sum and is filtered where the stock is TQM.F. The data is about stocks per day.

Customs records of C are available for T.Q.M. CO.,LTD. Learn about its Importer, supply capabilities and the countries to which it supplies goods

The Total Quality Management (TQM) market is gaining significant traction as organizations across various industries strive to enhance operational efficiency and improve customer satisfaction. TQM is a holistic approach that focuses on continuous improvement, involving all employees in the process of enhancing quali

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Customs records of are available for HH TQM MOTOR DIES CO.,LTD. Learn about its Importer, supply capabilities and the countries to which it supplies goods