Soft and Hard Total Quality Management and Big Data to Achieve Sustainable Performance in the Jordan Manufacturing: A Conceptual Paper

Business organizations may be able to improve their sustainability performance by increasing stakeholder awareness of the potential negative impacts industrial companies may have through their operations.This conceptual study aims to examine the factors that influence sustainable performance in the Jordanian industrial sector.Drawing on the resource-based view, this research has developed a model to investigate the influence of soft and hard TQM and big data on sustainable performance; it also analyzes the mediating role of big data.The methodology of the current study was through the quantitative method employed, and data were gathered through cross-sectional questionnaires.The data was analysed using the Smart-PLS 4 structural equation model.This study will provide a guideline for industrial executives to secure sustainability through the adoption of soft and hard TQM concepts and big data.

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Publication Details

Journal
International Journal of Academic Research in Business and Social Sciences
Published
2025-05-19
DOI
https://doi.org/10.6007/ijarbss/v15-i5/25410
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Soft and Hard Total Quality Management and Big Data to Achieve Sustainable Performance in the Jordan Manufacturing: A Conceptual Paper

Anees Janee Ali, Ansam Al-Bdeirat
International Journal of Academic Research in Business and Social Sciences
Quality and Supply Management
article

Soft and Hard Total Quality Management and Big Data to Achieve Sustainable Performance in the Jordan Manufacturing: A Conceptual Paper

Anees Janee Ali, Ansam Al-Bdeirat
article en

Abstract

Business organizations may be able to improve their sustainability performance by increasing stakeholder awareness of the potential negative impacts industrial companies may have through their operations.This conceptual study aims to examine the factors that influence sustainable performance in the Jordanian industrial sector.Drawing on the resource-based view, this research has developed a model to investigate the influence of soft and hard TQM and big data on sustainable performance; it also analyzes the mediating role of big data.The methodology of the current study was through the quantitative method employed, and data were gathered through cross-sectional questionnaires.The data was analysed using the Smart-PLS 4 structural equation model.This study will provide a guideline for industrial executives to secure sustainability through the adoption of soft and hard TQM concepts and big data.

International Journal of Academic Research in Business and Social SciencesVol. 15(5)
Universiti Sains Malaysia (MY)
Università degli Studi di Siena
Openalex Percentile: Top 82%
Quality and Supply Management
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