Work

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

Year: 2025

Type: article

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.

Source: International Journal of Academic Research in Business and Social Sciences

DOI: 10.6007/ijarbss/v15-i5/25410

Authors: Ansam Al-Bdeirat, Anees Janee Ali

Institution: Universiti Sains Malaysia

Language: English

Topic: Quality and Supply Management

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: diamond

Funder: Università degli Studi di Siena