Riding towards sustainable development in Industry 4.0: Learnings from a case of the bicycle manufacturing company DOI
Deepak Datta Nirmal, Kapil Gumte, Amrik S. Sohal

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 212, P. 123970 - 123970

Published: Jan. 15, 2025

Language: Английский

How does the digital transformation of corporates affect green technology innovation? An empirical study from the perspective of asymmetric effects and structural breakpoints DOI

Qianqian Dou,

Xinwei Gao

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 428, P. 139245 - 139245

Published: Oct. 10, 2023

Language: Английский

Citations

43

Explainable artificial intelligence and agile decision-making in supply chain cyber resilience DOI Creative Commons

Kiarash Sadeghi R.,

Divesh Ojha, Puneet Kaur

et al.

Decision Support Systems, Journal Year: 2024, Volume and Issue: 180, P. 114194 - 114194

Published: Feb. 17, 2024

Although artificial intelligence can contribute to decision-making processes, many industry players lag behind pioneering companies in utilizing intelligence-driven technologies, which is a significant problem. Explainable be viable solution mitigate this This paper proposes research model address how explainable impact processes. Using an experimental design, empirical data collected test the model. one of pioneer papers providing evidence about on supply chain We propose serial mediation path, includes transparency and agile decision-making. Findings reveal that enhances transparency, thereby significantly contributing for improving cyber resilience during cyberattacks. Moreover, we conduct post hoc analysis using text explore themes present tweets discussing decision support systems. The results indicate predominantly positive attitude towards within these Furthermore, reveals two main emphasize importance explainability, interpretability intelligence.

Language: Английский

Citations

38

Navigating the manufacturing revolution: identifying the digital transformation antecedents DOI
Muhammad Bilal, Xicang Zhao, Jiying Wu

et al.

Management Decision, Journal Year: 2024, Volume and Issue: 62(6), P. 1775 - 1805

Published: Feb. 20, 2024

Purpose In the era of digitalization, digital technology has transformed businesses and created enormous opportunities for organizations worldwide. Unsurprisingly, research on transformation garnered significant interest among academics in recent decades. However, this study aims to recognize key holistic antecedents influencing manufacturing firms. This also investigates indirect relationships with firm performance. Design/methodology/approach The hypothesis was investigated using partial least squares structural equation modeling (PLS-SEM) approach. data collected from 279 employees through a self-administered survey Findings results described positive impact competitive pressure, leadership role, organization culture, mindfulness, government regulation, IT readiness Furthermore, partially mediates relationship between Originality/value finds perspective critical mediation role moderating effects agility. Additionally, all have association Firm Performance.

Language: Английский

Citations

21

Digital transformation, external financing, and enterprise resource allocation efficiency DOI

Yan Liu,

He QiuJu

Managerial and Decision Economics, Journal Year: 2024, Volume and Issue: 45(4), P. 2321 - 2335

Published: Feb. 17, 2024

Abstract In a highly informative society, digital transformation has become new driving force to enhance enterprise competitiveness and promote high‐quality economic development. This paper examines the impact of on firms' resource allocation efficiency using sample Chinese A‐share listed companies in manufacturing industry from 2007 2019. The research findings are as follows: significantly improved efficiency. Mechanisms suggest that enhances by attracting external financing, both equity debt financing. Furthermore, contribution is more pronounced eastern region, high‐tech industries, non‐state‐owned enterprises. provides evidence for exploring effective paths improve perspective. It significant accelerating achieving cost reduction enhancement.

Language: Английский

Citations

18

Toward the role of organizational culture in data-driven digital transformation DOI
Arman Ghafoori, Manjul Gupta, Mohammad I. Merhi

et al.

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: 271, P. 109205 - 109205

Published: March 19, 2024

Language: Английский

Citations

17

Digital transformation in the blockchain era: Balancing efficiency and resilience in operations management DOI
Jing Xue, Guo Li, Dmitry Ivanov

et al.

International Journal of Production Economics, Journal Year: 2025, Volume and Issue: unknown, P. 109525 - 109525

Published: Jan. 1, 2025

Language: Английский

Citations

3

In the era of responsible artificial intelligence and digitalization: business group digitalization, operations and subsidiary performance DOI Creative Commons

Wei Sun,

Shuang Ren, Guiyao Tang

et al.

Annals of Operations Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Abstract With the rapid development of digital technologies, responsible AI has become a critical focus for ensuring ethical and socially conscious advancements in business operations management. The integration practices groups’ transformations is essential to mitigate potential risks maximize positive impact on operational efficiency, supply chain performance, subsidiary performance. This study aims examine consequences mechanisms through which group digitalization influences group’s operation management, as manifested performance within context economy. Analyzing data from 202 affiliated subsidiaries, we role HRM collaboration technological turbulence facilitating digitalization. enriches management literature expands application by investigating relationship between operations. Furthermore, this provides practical implications pertaining how can guide transformations, enhance subsidiaries.

Language: Английский

Citations

2

Analyzing the integrated effect of circular economy, Lean Six Sigma, and Industry 4.0 on sustainable manufacturing performance from a practice‐based view perspective DOI Open Access

Dounia Skalli,

Abdelkabir Charkaoui, Anass Cherrafi

et al.

Business Strategy and the Environment, Journal Year: 2023, Volume and Issue: 33(2), P. 1208 - 1226

Published: Aug. 24, 2023

Abstract This study explores the interplay linking Lean Six Sigma (LSS), Circular Economy (CE) and Industry 4.0 technologies (I4.0T), their impact alone or combined, on sustainable organizational performance (SOP) within manufacturing firms. Using existing literature, six hypotheses are identified then analyzed following Structural Equation Modeling method with SmartPLS software. A survey was designed administrated in Moroccan context. Based results, it found that LSS, CE I4.0T have a positive effect SOP. Moreover, significantly impacts both LSS However, had no significant CE. Furthermore, results show has mediation role as driver for successful implementation of will enable professionals to understand determinants helping them define future business strategies. Also, sets benchmark companies looking achieve objectives by integrating I4.0 into practices approach. is first attempt examine link between high triple bottom line gains (environmental, social economic) considering Morocco, an emerging economy.

Language: Английский

Citations

23

Generative AI usage and sustainable supply chain performance: A practice-based view DOI
Lixu Li,

Wen-Wen Zhu,

Lujie Chen

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 192, P. 103761 - 103761

Published: Sept. 11, 2024

Language: Английский

Citations

14

How does digital transformation drive innovation in Chinese agribusiness: Mechanism and micro evidence DOI Creative Commons
Zhou Xue,

Yunjie Hou,

Guangqiao Cao

et al.

Journal of Innovation & Knowledge, Journal Year: 2024, Volume and Issue: 9(2), P. 100489 - 100489

Published: April 1, 2024

This paper investigates the impact of digital transformation on innovation within agribusiness sector, both theoretically and empirically, through an examination Chinese A-share agriculture-related listed companies spanning from 2011 to 2021. The findings suggest that significantly enhances capability agribusiness, while concurrently fostering improvements its quality. These results hold robust following endogeneity test a series robustness tests. Our heterogeneity analysis found exerts more pronounced influence promoting among state-owned agribusinesses, those located in eastern region China, facing heightened financing constraints. Mechanism testing revealed not only technological capabilities but also alleviates their financial constraints, thereby facilitating convergence innovative resources such as technology, talent capital consequently elevating agribusi-ness levels. elucidates impacts mechanisms innovation, offering valuable insights for decision-makers aiming foster particularly developing nations.

Language: Английский

Citations

11