Financial misallocation and green innovation efficiency: China's firm-level evidence

Energy Economics, Год журнала: 2024, Номер 136, С. 107697 - 107697

Опубликована: Июнь 15, 2024

The prevalent financial misallocation phenomenon appears to restrict firms' ability be improve green innovation efficiency. Our theoretical model yields a testable hypothesis, which the empirical analysis validates. We consider economic implications, channels, and countermeasures that emerge from impacts promoted by on use firm-level dataset 2008 2021. findings suggest hinders Chinese show in supply chain concentration is most important channel for negative influence misallocation. also find firms face discrimination having access resources based type of ownership size. results should enable policy makers clearly see green-innovation gains can produced China eliminating

Язык: Английский

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Harnessing Artificial Intelligence for Enhanced Environmental Sustainability in China's Banking Sector: A Mixed‐Methods Approach

British Journal of Management, Год журнала: 2025, Номер unknown

Опубликована: Фев. 6, 2025

Abstract Amidst escalating global environmental challenges, the banking sector is increasingly turning to artificial intelligence (AI) enhance sustainability performance (ESP). Our research examines impact of AI adoption on ESP through lenses sustainable banking, Fintech, green finance and innovation within China's institutions. We also explore complex configurations these factors, which collectively improve ESP. Grounded in stimulus–organism–response affordance theories, we employ a hybrid methodology combining structural equation modelling fuzzy‐set qualitative comparative analysis analyse data from an online survey. findings indicate that significantly boosts sector, primarily mediated by innovation, despite Fintech showing no significant direct Additionally, identify specific AI, synergistically ESP, contributing ongoing discourse technological industry. This study emphasizes pivotal role driving outcomes highlights need for strategic integration factors achieve higher

Язык: Английский

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Impact of artificial intelligence and knowledge management on proactive green innovation: the moderating role of trust and sustainability

Asia-Pacific Journal of Business Administration, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 25, 2024

Purpose In this research, we seek to understand the effects of artificial intelligence (AI) and knowledge management (KM) processes in enhancing proactive green innovation (PGI) within oil gas organizations. It also aims investigate moderator role trust sustainability these relationships. Design/methodology/approach This paper employs a quantitative analysis. Surveys have been gathered from middle-line managers twenty-four government organizations evaluate perceptions towards AI, KM processes, trust, measures toward innovation. Analytical statistical tools that were employed study, including structural equation modeling with SmartPLSv3.9, used analyze data examine measurement models study. Findings The study results reveal significant positive impact AI utilization, PGI Furthermore, turn out be viable moderators affecting, influencing strength direction particular, higher levels more substantial commitments enhance on outcomes. Practical implications Understanding KM, offers valuable insights for organizational leaders policymakers seeking promote industry. Thus, can increase efficiency sustainable product development, process improvement environmental by using robust technologies effective systems. fostering among stakeholders embedding principles into culture amplify effectiveness initiatives driving Originality/value extends current assessing effect while accounting as moderators. Utilizing methods nuanced understanding complex interactions between variables, thereby advancing theoretical fields management, behavior. Additionally, identification specific mechanisms contextual factors enriches practical practitioners striving dynamics complexities an AI-driven era.

Язык: Английский

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AI in Companies' Production Processes

Journal of Global Information Management, Год журнала: 2025, Номер 32(1), С. 1 - 29

Опубликована: Янв. 9, 2025

The accelerated integration of Artificial Intelligence (AI) in comprehensive organizational management has marked a significant milestone enhancing efficiency and productivity across all sectors. However, the effective adoption this emerging technology faces challenges, such as ethical dilemmas, barriers, notable deficit relevant technological skills. This study embarks on detailed analysis crucial determinants influencing AI by companies, UTAUT model with four new variables: Response Costs, Trust AI, Anxiety, Environmental Sustainability. Through surveys directed at over 400 CEOs work reveals that facilitating conditions, performance expectancy, response costs, trust anxiety determine their companies. These findings contribute to identifying which factors, from managerial perspective, should be considered more than sufficient reasons for implemented production processes.

Язык: Английский

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Green strategy orientation and competitiveness: an optimal distinctiveness perspective

Management Decision, Год журнала: 2025, Номер unknown

Опубликована: Фев. 17, 2025

Purpose Implementing a green strategy to enhance the competitiveness of enterprises is hot topic in current research. Although most have formed orientation (GSO), it has not been transformed into (GC). Prior studies thoroughly studied effect and mechanism GSO on GC. To fill this research gap, based optimal distinctiveness theory, paper discusses mediating role two kinds innovation (GI) GSO–GC relationship moderating big data capability (BDC). Design/methodology/approach This study adopts quantitative methods multiple linear regression, Bootstrap structural equation modeling (SEM). Data were collected through questionnaire random sampling method was used survey middle senior managers professionals manufacturing enterprises. About 400 questionnaires distributed, 342 valid collected. Findings The conclusions show that significantly positively affects GI Still, turns out only strategic (SGI) mediates relationship. BDC can moderate mediation SGI between GC, thus supporting moderated model. Research limitations/implications from Chinese collect data, but sample size limited. Furthermore, by which GC requires further exploration. directly establishes making an essential contribution literature At same time, uses as bridge connect enriching GI. In addition, we consider be moderator, expanding boundaries Practical implications provides new knowledge insights for construct implement strategies achieve More importantly, should attach great importance critical BDC. Originality/value understands GSO, theory practice.

Язык: Английский

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Application Status, Hotspots, and Future Trends of Artificial Intelligence in the Field of Sustainable Environmental Governance

Опубликована: Март 6, 2025

Amidst the increasingly severe global environmental crisis, application of artificial intelligence (AI) in fields governance and sustainable development has become a hot topic current scientific research practice. The complexity urgency issues have made integration AI technology particularly important pressing. To comprehensively understand status, hotspots, future trends this field, study employed Citespace VOSviewer literature analysis tools to construct knowledge map based on data from 2004 2024. results reveal that, terms regions, Asia (especially China) most significant contributions, while North America Europe (particularly United States some EU countries) closely collaborated, forming core regions. top five authors publication volume are Liu J, Vinuesa R, Nishant Bag S, Benzidia S. Regarding themes field focus four clusters: intelligent management green innovation for performance lifecycle assessment, smart cities development, AI-enabled management. These highlight vast potential enhancing efficiency promoting development. As trends, number publications shown continuous upward trend recent years, with predictions indicating that will continue concentrate keywords such as AI, life cycle, Internet Things. In summary, is an active expanding within governance, deepen understanding topic, explore science, address challenges, drive towards smart, efficient, direction.

Язык: Английский

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Artificial intelligence of robotics and green transformation: evidence from Chinese manufacturing firms

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Март 20, 2025

Язык: Английский

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The Impact of Digital Transformation on the Sustainable Performance of Organizations: A Configurational Approach

Business Strategy and the Environment, Год журнала: 2025, Номер unknown

Опубликована: Апрель 9, 2025

ABSTRACT Sustainable development has emerged as a critical concern globally, and digital transformation holds enormous potential for advancing the sustainable of organizations. However, relationship between performance remains largely unclear. To gain an in‐depth understanding this relationship, we explore effects dimensions on across diverse environmental organizational conditions from configuration perspective. The findings show that efficiency value have different combinatory (facilitating or inhibiting) in achieving economic configurations agribusinesses, considering factors, such firm size, industry type, market turbulence. This study offers new perspectives provides managerial insights into how agribusinesses can achieve organizations environments.

Язык: Английский

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What's Impact of Multi‐Dimensional Globalization in Accelerating Green Technology Diffusion?

Sustainable Development, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

ABSTRACT The diffusion of green technologies is crucial not only for the advancement national innovation, but also promotion sustainable development. This paper empirically examines non‐linear relationship between different dimensions globalization and technology using a threshold effect model based on data from 46 countries over period 1990 to 2021. Our results show that inherently influenced by key variables, including sovereign ESG index, energy consumption structures, intensity. Specifically, positive impact diminishes as country's Environmental, Social, Governance (ESG) index improves its shifts toward renewable sources. Conversely, in with higher intensity, significantly increases diffusion. In addition, this study delineates distinct roles economic, social, political globalization, revealing heterogeneous impacts across these process technologies. These findings contribute deeper understanding how can be leveraged promote technological progress.

Язык: Английский

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How does big data analytics capability affect firm performance? Unveiling the role of organisational resilience and environmental dynamism

European Journal of Information Systems, Год журнала: 2024, Номер unknown, С. 1 - 27

Опубликована: Июль 8, 2024

Язык: Английский

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