Digital transformation and green technology innovation in Chinese semiconductor industry: A fixed effects regression analysis considering media coverage, ownership type, compensation incentives, managerial myopia DOI

Hesong Ren,

Li Zhou,

Nengmin Wang

и другие.

International Journal of Production Economics, Год журнала: 2024, Номер 277, С. 109400 - 109400

Опубликована: Сен. 4, 2024

Язык: 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, Год журнала: 2023, Номер 428, С. 139245 - 139245

Опубликована: Окт. 10, 2023

Язык: Английский

Процитировано

44

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

Kiarash Sadeghi R.,

Divesh Ojha, Puneet Kaur

и другие.

Decision Support Systems, Год журнала: 2024, Номер 180, С. 114194 - 114194

Опубликована: Фев. 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.

Язык: Английский

Процитировано

38

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

и другие.

Management Decision, Год журнала: 2024, Номер 62(6), С. 1775 - 1805

Опубликована: Фев. 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.

Язык: Английский

Процитировано

21

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

и другие.

International Journal of Production Economics, Год журнала: 2024, Номер 271, С. 109205 - 109205

Опубликована: Март 19, 2024

Язык: Английский

Процитировано

19

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

Yan Liu,

He QiuJu

Managerial and Decision Economics, Год журнала: 2024, Номер 45(4), С. 2321 - 2335

Опубликована: Фев. 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.

Язык: Английский

Процитировано

18

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

и другие.

International Journal of Production Economics, Год журнала: 2025, Номер unknown, С. 109525 - 109525

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

4

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

и другие.

Annals of Operations Research, Год журнала: 2025, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

Процитировано

3

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

и другие.

Business Strategy and the Environment, Год журнала: 2023, Номер 33(2), С. 1208 - 1226

Опубликована: Авг. 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.

Язык: Английский

Процитировано

23

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

Wen-Wen Zhu,

Lujie Chen

и другие.

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 192, С. 103761 - 103761

Опубликована: Сен. 11, 2024

Язык: Английский

Процитировано

16

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

Yunjie Hou,

Guangqiao Cao

и другие.

Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(2), С. 100489 - 100489

Опубликована: Апрель 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.

Язык: Английский

Процитировано

13