Green creativity and business sustainability: the influence of dynamic capabilities, technology adoption, business strategies and knowledge management DOI
Mehmet Bağış, Zafer Adıgüzel, Bablu Kumar Dhar

et al.

Business Process Management Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

Purpose The increasing global emphasis on environmental sustainability necessitates a better understanding of the antecedents green creativity (GC) and business (BSE). However, research this topic is limited, these have not been examined holistically. Considering gap, in study, we interconnected roles dynamic capabilities (GDC), technology adoption (GTA), strategies (GBS) knowledge management (GKM) influencing GC BSE. Design/methodology/approach We collected data through surveys applied to 874 companies operating manufacturing service sectors Turkey analyzed using partial least squares structural equation modeling (PLS-SEM) method. Findings study shows that GDC positively influence GBS, GKM. Additionally, GTA affects BSE GBS only impacts GC, while GKM influences Our mediation analysis results indicate mediates relationships between GDC–GTA GC. Furthermore, relationship Similarly, GC–BSE. Finally, it was determined Research limitations/implications focus Türkiye limits generalizability findings. Future can examine variables different geographical industrial settings provide deeper insights into causal mechanisms underlying relationships. Practical implications actionable for aiming improve their practices. In addition, managers use strengthen GKM, thus realizing positive importance integrating take challenges account emphasized. Originality/value one important studies comprehensively interaction GDC, GTA, provides transformation efforts emerging economies, expanding literature beyond sector include sector.

Language: Английский

Digital finance and corporate green investment: A perspective from institutional investors and environmental regulations DOI
Sohail Ahmad Javeed, Rashid Latief,

Xiang Cai

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 446, P. 141367 - 141367

Published: Feb. 19, 2024

Language: Английский

Citations

23
Green supply chain knowledge networks and corporate ESG performance: the role of green technology innovation and knowledge integration capability DOI
Zhiping Hou,

Dashuo Li,

Feng Jin

et al.

International Journal of Production Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: Jan. 2, 2025

This paper examines the relationships between knowledge networks and corporate environmental, social, governance (ESG) performance within context of green supply chain management (GSCM). While accumulated by enterprises implementing GSCM can effectively enhance ESG performance, constructing among these may lead to more significant improvements. On basis knowledge-based theory, social network dynamic capabilities this adopts structure-conduct-performance framework, selects Chinese A-share listed as its research subjects, utilises enterprises' patents construct networks. It empirically investigates networks, technology innovation, integration capability, performance. The results show that structural characteristics positively affect relational exhibit an inverted U-shaped relationship with Green innovation mediates Furthermore, capability moderates innovation. These findings enrich on theory other related theories, providing new insights for improve

Language: Английский

Citations

2
Unlocking sustainable performance in the health-care sector: the dynamic nexus of artificial intelligence, green innovation and green knowledge sharing DOI

Hanan Ahmed Abdallah Al-Balushi,

Harcharanjit Singh, Irfan Saleem

et al.

Society and Business Review, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Purpose This study, using stakeholder theory and diffusion of innovations (DOIs), aims to examine the readiness Omani health-care firms adopt artificial intelligence (AI). adoption is seen as a key step towards ensuring green innovation sustainable performance (SP) in sector. Design/methodology/approach study adopted convenience referral sampling techniques enhance response rate for limited number AI. Using explanatory research design, structure equation modelling employees unit analysis, random sample technique used distribute structured questionnaire five hospitals North Al-Batinah, including Shinas, Liwa Sohar cities. Smart PLS 4.1 analyses responses. Findings The demonstrates that AI could significantly SP, finding utmost importance current landscape. also tested knowledge sharing boundary condition. Furthermore, study’s findings indicate leads emergence suggesting are willing achieve development goals (SDGs). Practical implications implies stakeholders, Government Middle Eastern firms, should prioritize investments technologies tailored sustainability initiatives. Originality/value makes three significant unique contributions. Firstly, it uniquely integrates DOIs theories explain mediating function moderating effect sharing. Secondly, provides context, where government’s focus on health sector crucial. Finally, this outlines clear actionable pathway East SDGs, thereby enlightening reader potential

Language: Английский

Citations

2
Too good to waste: Examining circular economy opportunities, barriers, and indicators for sustainable construction and demolition waste management DOI Creative Commons
Héctor Martín,

Deeksha Chebrolu,

Aaron Anil Chadee

et al.

Sustainable Production and Consumption, Journal Year: 2024, Volume and Issue: 48, P. 460 - 480

Published: June 7, 2024

There is a significant deficiency in addressing the unique characteristics of construction and demolition waste (C&DW) United Kingdom (UK) as it remains primary contributor to landfills. Circular economy (CE) practices are explored address this risk shortfall management comprehend reduction strategies for C&DW. Using Fuzzy Delphi approach, study maps assesses uncertainties associated with identifying indicators ranked CE adoption barriers achieve agreement twelve respondents. Consensus was also achieved C&DW measurement indicators. Concurrently, eleven separate interviews were conducted understand CE's effectiveness improving management. The results indicated that most barrier inefficient recycling policies ensure high-quality recycled materials. findings underscore influence design, managerial, legal surpasses social, knowledge, culture. Despite highlighting focus on recycling, reusing, reducing raw materials, deeply established tendencies prioritise linear economic models exist widely, resource conservation less considered. This provides concrete implementation responsible consumption production, challenges adoption, offers 25 industry-specific measuring implementation.

Language: Английский

Citations

13
Maximizing CSR impact: Leveraging artificial intelligence and process optimization for sustainability performance management DOI
Ali Nawaz Khan, Khalid Mehmood, Ahsan Ali

et al.

Corporate Social Responsibility and Environmental Management, Journal Year: 2024, Volume and Issue: 31(5), P. 4849 - 4861

Published: May 6, 2024

Abstract This study, which is anchored to Resource‐Based View (RBV) theory, explores the relationship between artificial intelligence (AI), process optimization, organizational flexibility, and sustainability performance in settings. Leveraging RBV framework's focus on internal resources as sources of competitive advantage, this research seeks clarify how AI adoption, flexibility foster sustainable growth. SPSS PROCESS Macro was used analyze data from 288 organizations. The findings derived empirical data, study verify positive relationships optimization well performance, revealing strategic nature a resource improve operational effectiveness environmental responsibility. Further, our results indicate mediating role moderating effect determining link outcomes. Moreover, confirmed indirect effects via under boundary conditions flexibility. These add developing literature practices provide practical suggestions that might be useful for practitioners aiming at using driven by capabilities deliver performance.

Language: Английский

Citations

11
Navigating the Impact of Green Innovation, Technological Linkages, and Knowledge Management on Sustainable Performance of SMEs DOI Creative Commons

Muhammad Aslam,

Bilal Ahmad,

Tuba Rasheed

et al.

Journal of International Entrepreneurship, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Language: Английский

Citations

1
Green Synergy: Interplay of corporate social responsibility, green intellectual capital, and green ambidextrous innovation for sustainable performance in the industry 4.0 era DOI Creative Commons
Zohaib Zahid, Jijian Zhang, Muhammad Asim Shahzad

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(8), P. e0306349 - e0306349

Published: Aug. 8, 2024

This study delves into the interconnections among corporate social responsibility, green intellectual capital, ambidextrous innovation, and sustainable performance, particularly in context of Industry 4.0 sustainability. A questionnaire-based survey was conducted, a sample 317 small medium enterprises collected. Using Partial Least Squares Structural Equation Modeling Smart-PLS v4, findings reveal significant relationship between responsibility with capital innovation serving as mediating factors. Moreover, highlights moderating role performance. These may guide managers designing implementing CSR strategies beyond compliance contributing to competitive advantage through for business success era 4.0.

Language: Английский

Citations

7
Artificial intelligence in entrepreneurial project management: a review, framework and research agenda DOI
Ataullah Kiani

International Journal of Managing Projects in Business, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

Purpose This paper delves into the transformative impact of artificial intelligence (AI) across diverse sectors, notably project management. It examines potential AI to revolutionize management processes within entrepreneurial ventures, where agility, efficiency and innovation reign supreme. Design/methodology/approach Through a comprehensive analysis, this study navigates intersection meticulously dissects opportunities presents, hurdles it introduces optimal strategies for harnessing its capabilities effectively. Drawing insights from complexity theory, framework is crafted delineate AI’s capacity substitute human involvement, elucidating key considerations transitioning digitally-driven paradigm in Findings The underscores augment significantly, particularly fostering agility innovation. However, challenges persist, necessitating adept navigation maximize benefits. delineates extent which can supplant roles, offering crucial digital transformation Practical implications Practitioners are equipped with valuable guidance on leveraging effectively, enhancing organizational performance. Understanding adoption fosters informed decision-making realm Social integration signifies broader societal shifts toward digitalization automation. Insights contribute navigating these transformations, greater resilience adaptability endeavors. Originality/value offers novel perspective management, shedding light unexplored terrain. By drawing advances nuanced understanding implications, paving way future research avenues dynamic field.

Language: Английский

Citations

7
Sustainability with environmental policy stringency and financial development for green technological innovations: Evidence from Sub-Saharan Africa DOI
Nudrat Fatima,

Hu Xuhua,

Muhammad Kamran Khan

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123429 - 123429

Published: Nov. 28, 2024

Language: Английский

Citations

6
Does Tax Incentives Matter to Enterprises’ Green Technology Innovation? The Mediating Role on R&D Investment DOI Open Access
Haijun Wang, Jinlan Yang,

Naiping Zhu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 5902 - 5902

Published: July 11, 2024

This study focused on China’s A-share listed companies from 2017 to 2022, and concluded that tax incentives have a positive impact the performance of green technology innovation, value-added preferences are more effective than income preferences. Tax guide enterprises increase R&D investment, investment constitutes mechanism promote innovation. Non-state-owned benefit timely help incentives. Higher levels business environment in certain regions lead significant promoting effects Enterprises non-heavily polluting industries easily incentivized by preferential policies undertake innovations. The study’s findings aimed improve current achieve innovative development.

Language: Английский

Citations

5