Exploring the Influencing Factors of Digital Transformation: Empirical Results From SMEs in China DOI Open Access
Qigan Shao, Changchang Jiang, James J.H. Liou

et al.

Managerial and Decision Economics, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 26, 2024

ABSTRACT Digital transformation has become a crucial strategic initiative to advance high‐quality development among small‐ and medium‐sized enterprises (SMEs) in developing countries. However, existing research lacks comprehensive analysis of the complex causal mechanisms underlying successful digital SMEs. This study aims uncover drivers SMEs identify effective pathways for their adoption. Utilizing push–pull–mooring (PPM) theory, this applies necessary condition (NCA) fuzzy set qualitative comparative (fsQCA) on sample investigate influencing factors pathway choices China. The findings indicate that infrastructure, technological innovation capability, talent, market competitive pressure are essential conditions advancing Two primary elevate levels identified: “Fully Element‐Driven Type” “Push–Mooring Effects‐Oriented Type.” Comparative different reveals substitution effects certain transformation. contributes understanding interplay SMEs, providing actionable insights guidance seeking implement

Language: Английский

Digital transformation and corporate green technology transfer: The moderating effect of executive green cognition DOI
Xiang Zhu, Hongtao Chen, Erwei Xiang

et al.

Finance research letters, Journal Year: 2025, Volume and Issue: 76, P. 107035 - 107035

Published: Feb. 20, 2025

Language: Английский

Citations

2

Deciphering the digital evolution: strategic insights into the Korean fashion industry through advanced analytical perspectives DOI Creative Commons

Saem Nam,

Seeun Kim

Fashion and Textiles, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 3, 2025

Language: Английский

Citations

0

Can ChatGPT Boost Students’ Employment Confidence? A Pioneering Booster for Career Readiness DOI Creative Commons
Xiao Yu, Zheng Li

Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 362 - 362

Published: March 14, 2025

This study examines the impact of ChatGPT on university students’ employment confidence, utilizing comprehensive methodologies such as regression analysis, Inverse Probability Weighting (IPW), and Structural Equation Modeling (SEM). The results indicate that regular use significantly enhances confidence in securing employment, with stronger effects observed among undergraduate students those social sciences. Additionally, this reveals experience plays a partial mediating role effect, underscoring importance user interaction realizing benefits AI tools. These findings suggest not only improves cognitive abilities career-related knowledge but also boosts proactive job-seeking behaviors, fostering increased job market readiness. implications are far-reaching, highlighting how tools can enhance career development support, particularly for at earlier stages their academic journey. As technologies continue to influence education, offers valuable insights into effectively prepare market, potentially contributing future research shaping educational practices ways address challenges.

Language: Английский

Citations

0

Leveraging Dynamic Capabilities for Digital Transformation: Exploring the Moderating Role of Cost in Environmental Performance of SMEs DOI Creative Commons
Syed Abidur Rahman, Seyedeh Khadijeh Taghizadeh,

Syed Awais Ahmad Tipu

et al.

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2025, Volume and Issue: unknown, P. 100523 - 100523

Published: March 1, 2025

Language: Английский

Citations

0

Improving Corporate Environmental Performance Through Big Data Analytics Implementation: The Role of Industry Environment DOI Open Access

Ahmed Alyahya,

Gomaa Agag

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2928 - 2928

Published: March 26, 2025

Big data analytics (BDA) has recently received significant public interest and is widely considered as a transformative technology set to improve organizations’ environmental performance. However, prior empirical studies have yielded inconsistent findings. Based on organizational learning theory, our paper utilized longitudinal approach understand the relationships between big implementation corporate This project also investigates role of industry environment in influencing these relationships. employed from 172 firms covering 2408 firm-year observations Fortune 200 firms. We “the generalized method moments (GMMs) technique” test study assumptions. Our analysis shows that one-unit improvement BDA leads to, average, 2.8% performance (CEP). In addition, impact CEP greater more complex dynamic settings. offers meaningful implications for scholars managers influence across various Moreover, this provides refined comprehension ramifications BDA, consequently addressing essential enquiries how when can

Language: Английский

Citations

0

Measuring and mapping the competitiveness of small and medium enterprises at the district level: evidence from Moldova DOI Creative Commons
Tatiana Gutium

Information and Innovations, Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

Most enterprises in Moldova are small and medium-sized (SMEs). Therefore, to improve the efficiency of regional development Moldova, develop a strategy for sustainable economic growth, identify problem areas potential growth points, it is necessary assess competitiveness SMEs by district country. In there no single comprehensive system evaluating SMEs. novelty this study lies developing an SME index, which can be used district-level assessments type activity. The developed index effectiveness state programs, strategies, or those aimed at primary methods employed normalization construction composite index. results obtained showed that districts not stably. 2023, most competitive were located Chisinau municipality adjacent Straseni Ialoveni. contrast, 2019, from Briceni Cimislia lead.

Language: Английский

Citations

0

Information technology as a driver of organizational change in SMEs: a study of key determinants DOI
Isidoro Romero

Journal of Organizational Change Management, Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

Purpose This study aims to explain how information technology (IT)-enabled organizational change occurs at varying rates due the specific characteristics of small and medium-sized enterprises (SMEs). The paper investigates primary determinants IT-enabled in these organizations. Design/methodology/approach By integrating resource-based view, learning theory entrepreneurial digital ecosystem perspective, this research develops a comprehensive model for analyzing SMEs. conceptual encompasses five key dimensions: entrepreneurship, technology, human capital, strategic governance ecosystem. Empirical data were collected from representative survey Spanish SMEs, logistic regression analysis was applied assess impact factors on likelihood change. Findings findings reveal that SMEs led by older or less entrepreneurially driven owners and/or managers are likely engage In contrast, with high maturity, motivated digitally skilled staff, formalized strategies active external collaboration projects more proactive implementing changes. Additionally, lack formally assigned digitalization roles concentrate responsibilities solely owner/manager tend exhibit lower levels IT adoption. Originality/value offers novel perspective combining theoretical frameworks empirical examine specifically within study’s provides actionable insights identifying most essential driving transformation smaller firms, an area often overshadowed larger

Language: Английский

Citations

0

Exploring the Influencing Factors of Digital Transformation: Empirical Results From SMEs in China DOI Open Access
Qigan Shao, Changchang Jiang, James J.H. Liou

et al.

Managerial and Decision Economics, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 26, 2024

ABSTRACT Digital transformation has become a crucial strategic initiative to advance high‐quality development among small‐ and medium‐sized enterprises (SMEs) in developing countries. However, existing research lacks comprehensive analysis of the complex causal mechanisms underlying successful digital SMEs. This study aims uncover drivers SMEs identify effective pathways for their adoption. Utilizing push–pull–mooring (PPM) theory, this applies necessary condition (NCA) fuzzy set qualitative comparative (fsQCA) on sample investigate influencing factors pathway choices China. The findings indicate that infrastructure, technological innovation capability, talent, market competitive pressure are essential conditions advancing Two primary elevate levels identified: “Fully Element‐Driven Type” “Push–Mooring Effects‐Oriented Type.” Comparative different reveals substitution effects certain transformation. contributes understanding interplay SMEs, providing actionable insights guidance seeking implement

Language: Английский

Citations

1