Abstract：In the context of widespread application of artificial intelligence (AI),how entrepreneurial orientation affects firm performance is a critical question to be explored.Based on the resource-based view (RBV)and dynamic capability theory (DCT),this study constructed a logical axis of “resource-behavior-capability-performance”and investigated 175 entrepreneurial firms that have applied AI,aiming to explore the effects of entrepreneurial orientation on firm performance through a chained dual-pathway model.The findings reveal the followings:①Entrepreneurial orientation positively enhances firm performance.②AI adoption partially mediates the relationship between entrepreneurial orientation and firm performance.③Both automation capability and augmentation capability also serve as partial mediating roles between entrepreneurial orientation and firm performance.④Entrepreneurial orientation can improve automation capabilities or augmentation capabilities by AI adoption,thereby boosting firm performance.Moreover,after entrepreneurial orientation drives AI adoption in firms,the augmentation capability pathway proves more effective than automation capability pathway in enhancing firm performance.This study expands the theoretical boundaries of resource-based view and dynamic capability theory in AI settings,reveals the transmission of “technology adoption-capability building”,and verifies the strength of augmentation capability path by human-AI collaboration.It provides a novel perspective and empirical basis for understanding the impact of entrepreneurial orientation on firm performance in the era of intelligent technology.
[1]LUMPKIN G T,DESS G G.Clarifying the entrepreneurial orientation construct and linking it to performance[J].Academy of Management Review,1996,21(1):135-172. [2]LUMPKIN G T,DESS G G.Linking two dimensions of entrepreneurial orientation to firm performance[J].Journal of Business Venturing,2001,16(5):429-451. [3]KELLERMANNS F,WALTER J,CROOK T R,et al.The resource-based view in entrepreneurship:A content-analytical comparison of researchers' and entrepreneurs' views[J].Journal of Small Business Management,2016,54(1):26-48. [4]KAMAL E M,YUSOF N A,IRANMANESH M.Innovation creation,innovation adoption,and firm characteristics in the construction industry[J].Journal of Science and Technology Policy Management,2016,7(1):43-57. [5]HAENLEIN M,KAPLAN A.A brief history of artificial intelligence:On the past,present,and future of artificial intelligence[J].California Management Review,2019,61(4):5-14. [6]RAISCH S,KRAKOWSKI S.Artificial intelligence and management:The automation-augmentation paradox[J].Academy of Management Review,2021,46(1):192-210. [7]SJDIN D,PARIDA V,KOHTAMKI M.Artificial intelligence enabling circular business model innovation in digital servitization:Conceptualizing dynamic capabilities,AI capacities,business models and effects[J].Technological Forecasting and Social Change,2023,197(37):122903. [8]COVIN J G,SLEVIN D P.Strategic management of small firms in hostile and benign environments[J].Strategic Management Journal,1989,10(1):75-87. [9]BARNEY J.Firm resources and sustained competitive advantage[J].Journal of Management,1991,17(1):99-120. [10]TEECE D J,PISANO G,SHUEN A.Dynamic capabilities and strategic management[J].Strategic Management Journal,1997,18(7):509-533. [11]赵涛,张智,梁上坤.数字经济、创业活跃度与高质量发展:来自中国城市的经验证据[J].管理世界,2020,36(10):65-76. [12]WALES W J,KRAUS S,FILSER M,et al.The status quo of research on entrepreneurial orientation:Conversational landmarks and theoretical scaffolding[J].Journal of Business Research,2021,128(34):564-577. [13]LUMPKIN G T,COGLISER C C,SCHNEIDER D R.Understanding and measuring autonomy:An entrepreneurial orientation perspective[J].Entrepreneurship Theory and Practice,2009,33(1):47-69. [14]DE SOUSA JABBOUR A B L,LAGUIR I,TEKELORUM R,et al.The nexus of artificial intelligence and sustainability performance:Unveiling the impact of supply chain transparency and customer pressure on ethical conduct[J].Journal of Environmental Management,2025,379(23):124847. [15]董保宝,葛宝山,王侃.资源整合过程、动态能力与竞争优势:机理与路径[J].管理世界,2011(3):92-101. [16]MIKALEF P,GUPTA M.Artificial intelligence capability:Conceptualization,measurement calibration,and empirical study on its impact on organizational creativity and firm performance[J].Information and Management,2021,58(3):103434. [17]ZHOU C,ZHANG X,YU C.How does AI promote design iteration? The optimal time to integrate AI into the design process[J].Journal of Engineering Design,2023,34(12):1-28. [18]KUMAR A,BHATTACHARYYA S S,KRISHNAMOORTHY B.Automation-augmentation paradox in organizational artificial intelligence technology deployment capabilities:An empirical investigation for achieving simultaneous economic and social benefits[J].Journal of Enterprise Information Management,2023,36(6):1556-1582. [19]KRAKOWSKI S,LUGER J,RAISCH S.Artificial intelligence and the changing sources of competitive advantage[J].Strategic Management Journal,2023,44(6):1425-1452. [20]CHANDLER G N,HANKS S H.Measuring theperformance of emerging businesses:A validation study[J].Journal of Business Venturing,1993,8(5):391-408. [21]JIN L,MADISON K, KRAICZY N D,et al.Entrepreneurialteam composition characteristics and new venture performance:A meta-analysis[J].Entrepreneurship Theory and Practice,2017,41(5):743-771. [22]BAG S,PRETORIUS J H C,GUPTA S,et al.Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence,sustainable manufacturing practices and circular economy capabilities[J].Technological Forecasting and Social Change,2021,163(27):120420. [23]GIBSON A M,CAPIOLA A,ALARCON G M,et al.Construction andvalidation of an updated perfect automation schema(uPAS) scale[J].Theoretical Issues in Ergonomics Science,2023,24(2):241-266. [24]MARINO D L,GRANDIO J,WICKRAMASINGHE C S,et al.AIaugmentation for trustworthy AI:Augmented robot teleoperation[C]//2020 13th International Conference on Human System Interaction(HSI).Tokyo:IEEE,2020:155-161. [25]池仁勇,虞晓芬,李正卫.我国东西部地区技术创新效率差异及其原因分析[J].中国软科学,2004(8):128-131,127. [26]张维迎,周黎安,顾全林.高新技术企业的成长及其影响因素:分位回归模型的一个应用[J].管理世界,2005(10):94-101,112,172. [27]唐松,伍旭川,祝佳.数字金融与企业技术创新:结构特征、机制识别与金融监管下的效应差异[J].管理世界,2020,36(5):52-66,9.
2026, 
