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.
Authors
- Anees Janee Ali (ORCID: https://orcid.org/0000-0003-1752-0611)
- Ansam Al-Bdeirat
Institutions
- Universiti Sains Malaysia (MY)
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
Funders
- Università degli Studi di Siena