{"title":"Harnessing AI capabilities and green entrepreneurial orientation for sustainable SME performance using SEM analysis approach","authors":"Wafa Naif Alwakid , Nisar Ahmed Dahri","doi":"10.1016/j.techsoc.2025.103007","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 103007"},"PeriodicalIF":12.5000,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X25001976","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0
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.
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.