Harnessing AI capabilities and green entrepreneurial orientation for sustainable SME performance using SEM analysis approach

IF 12.5 1区 社会学 Q1 SOCIAL ISSUES
Wafa Naif Alwakid , Nisar Ahmed Dahri
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Abstract

The growing focus on sustainability and technological innovation has encouraged small and medium-sized enterprises (SMEs) to adopt artificial intelligence (AI) capabilities and a green entrepreneurial orientation as central drivers of sustainable performance. This research investigates the contribution of AI capabilities in promoting green innovations and creativity in SMEs, which collectively lead to long-term sustainability. The study is based on the Resource-Based View (RBV) theory, which offers a theoretical framework for investigating how AI-based competencies and green entrepreneurial strategies can promote SME performance. The research model comprises infrastructure, business integration, and a proactive attitude influencing AI capabilities, affecting SME creativity and green innovations. Moreover, green risk-taking, innovativeness, and proactiveness significantly contribute to green entrepreneurial orientation, affecting SME creativity and green innovations, ultimately resulting in sustainable performance. A quantitative research design was applied, utilizing survey data gathered from SME managers and business owners functioning in the manufacturing and service sectors in Saudi Arabia. 250 SMEs were examined using “Structural Equation Modeling (SEM)” analysis to validate the proposed hypotheses and evaluate these relationships. The results indicate that AI capabilities significantly impact SME creativity and green innovations. Moreover, green entrepreneurial orientation positively influences SME creativity and green innovations, which in turn facilitate sustainable performance. This research identifies the importance of SMEs allocating resources to AI infrastructure, proactive business strategies, and entrepreneurial risk-taking to foster green innovation and sustainability. Moreover, policymakers must facilitate AI-based green initiatives by implementing incentives and regulatory policies to promote sustainable development. By integrating AI capabilities and green entrepreneurship, SMEs can achieve a competitive advantage while achieving world sustainability goals.
利用人工智能能力和绿色创业导向,利用SEM分析方法实现中小企业的可持续绩效
对可持续发展和技术创新的日益关注鼓励中小企业(sme)采用人工智能(AI)能力和绿色创业导向作为可持续绩效的核心驱动力。本研究调查了人工智能能力在促进中小企业绿色创新和创造力方面的贡献,这些能力共同导致长期可持续性。本研究基于资源基础观(Resource-Based View, RBV)理论,为研究基于人工智能的胜任力和绿色创业战略如何促进中小企业绩效提供了理论框架。研究模型包括基础设施、业务集成和影响人工智能能力、影响中小企业创造力和绿色创新的积极态度。绿色冒险性、创新性和主动性对绿色创业取向有显著影响,进而影响中小企业的创造力和绿色创新,最终形成可持续绩效。采用定量研究设计,利用从沙特阿拉伯制造业和服务业的中小企业经理和企业主收集的调查数据。使用“结构方程模型(SEM)”分析对250家中小企业进行了检验,以验证提出的假设并评估这些关系。结果表明,人工智能能力显著影响中小企业的创造力和绿色创新。此外,绿色创业取向对中小企业创造力和绿色创新具有正向影响,进而促进可持续绩效。本研究确定了中小企业将资源分配给人工智能基础设施、积极主动的商业战略和创业冒险对促进绿色创新和可持续性的重要性。此外,决策者必须通过实施激励和监管政策来促进可持续发展,从而促进基于人工智能的绿色倡议。通过整合人工智能能力和绿色创业,中小企业可以在实现世界可持续发展目标的同时获得竞争优势。
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来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
期刊介绍: Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
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