Abstract：Digital intelligence services have changed the way of product development,manufacturing and delivery.This study combined “demand-driven”with TOE framework,built a “technology-organization-environment-market”model,used fsQCA to analyze 30 provincial statistics in China,and explored the innovation path of digital intelligence services to empower industrial enterprises.It is found that:①The antecedent variables are not necessary,and there are four types of paths to empower industrial enterprises to innovate.The “technology-environment”path focuses on digital intelligence innovation,while the “market”path is driven by demand,forming a “different paths and the same destination”empowerment model;② The environmental dimension can be used as the antecedent of all paths,and is the necessary foundation for the empowerment of digital intelligence services,in which the “policy support”variable is the core condition of the path more than “infrastructure”,revealing the importance of government policy influence;③Guangdong,Zhejiang,Jiangsu,Shandong,etc.are in the “technology-organization-environment-market”path,and their regional industrial enterprises are ranked as being at a high performance level in terms of innovation development,forming a multi-factor empowerment synergy effect;④ Due to the existence of substitution relationships based on common variables,conversions can be made between paths to avoid resource misallocation and provide a basis for selecting suitable empowerment paths.
陈旭升, 张旭东, 刘洪予. 数智服务赋能工业企业创新路径研究[J]. 中国科技论坛, 2024(12): 137-145.
Chen Xusheng, Zhang Xudong, Liu Hongyu. Research on the Innovation Paths of Industrial Enterprises Empowered by Digital Intelligence Services. , 2024(12): 137-145.
[1]ALT R,DEMIRKAN H,EHMKE J F,et al.Smart services:the move to customer orientation[J].Electronic Markets,2019,29(1):1-6. [2]YANG Y C,YING H,JIN Y,et al.Special issue editorial:information systems research in the age of smart services[J].Journal of the Association for Information Systems,2021,22(3):10. [3]AKTER S,MICHAEL K,UDDIN M R,et al.Transforming business using digital innovations:the application of AI,blockchain,cloud and data analytics[J].Annals of Operations Research,2022(4):1-33. [4]TRONVOLL B,SKLYAR A,SÖRHAMMAR D,et al.Transformational shifts through digital servitization[J].Industrial Marketing Management,2020,89:293-305. [5]ZHENG T,ARDOLINO M,BACCHETTI A,et al.The applications of Industry 4.0 technologies in manufacturing context:a systematic literature review[J].International Journal of Production Research,2021,59(6):1922-1954. [6]LONGO F,NICOLETTI L,PADOVANO A.Ubiquitous knowledge empowers the smart factory:the impacts of a service-oriented digital twin on enterprises'performance[J].Annual Reviews in Control,2019,47:221-236. [7]PEILLON S,DUBRUC N.Barriers to digital servitization in French manufacturing SMEs[J].Procedia CIRP,2019,83:146-150. [8]SIMONSSON J,AGARWAL G.Perception of value delivered in digital servitization[J].Industrial Marketing Management,2021,99:167-174. [9]GREMYR I,VALTAKOSKI A,WITELL L.Two routes of service modularization:advancing standardization and customization[J].Journal of Services Marketing,2019,33(1):73-87. [10]RYMASZEWSKA A,HELO P,GUNASEKARAN A.IoT powered servitization of manufacturing-an exploratory case study[J].International Journal of Production Economics,2017,192:92-105. [11]洪银兴,任保平.数字经济与实体经济深度融合的内涵和途径[J].中国工业经济,2023(2):5-16. [12]罗泰晔,张振刚.数据赋能制造业企业创新:逻辑框架与过程机理[J].中国科技论坛,2023(7):95-105. [13]张晓棠,SONG M,张海丽,等.大数据资源与新服务开发绩效:人工智能能力调节作用的跨国实证[J].中国科技论坛,2023(8):169-179. [14]RUDIAWARNI F A,TJAHJADI B,AGUSTIA D,et al.Business strategy and industrial competition:the case of manufacturing companies[J].International Journal of Business Environment,2022,13(1):35-59. [15]VARGO S L,AKAKAM A,WIELAND H.Rethinking the process of diffusion in innovation:a service-ecosystems and institutional perspective[J].Journal of Business Research,2020,116:526-534. [16]冯文娜,刘如月.互动导向、战略柔性与制造企业服务创新绩效[J].科研管理,2021,42(3):80-89. [17]ROTH A E.What have welearned from market design[J].The Economic Journal,2008,118(527):285-310. [18]CENNAMO C.Competing in digital markets:a platform-based perspective[J].Academy of Management Perspectives,2021,35(2):265-291. [19]魏冉,刘春红,张悦.物流服务生态系统价值共创与数字化能力研究:基于菜鸟网络的案例研究[J].中国软科学,2022(3):154-163. [20]徐美娜,夏温平.数字跨国公司对外投资的进入与扩张决定:平台型数字企业集聚的分析视角[J].世界经济研究,2021,(12):68-85,133. [21]武建龙,鲍萌萌,陈劲,等.产业联盟创新生态系统升级路径研究[J].科研管理,2022,43(9):20-31. [22]夏明,周文泳,谢智敏.城市数字经济高质量发展协同路径研究:基于技术经济范式的定性比较分析[J].科研管理,2023,44(3):65-74. [23]池毛毛,杜运周,王伟军.组态视角与定性比较分析方法:图书情报学实证研究的新道路[J].情报学报,2021,40(4):424-434. [24]FISS P C.A set-theoretic approach to organizational configurations[J].Academy of Management Review,2007,32(4):1180-1198. [25]柏培文,张云.数字经济、人口红利下降与中低技能劳动者权益[J].经济研究,2021,56(5):91-108. [26]刘军,曹雅茹,鲍怡发,等.制造业智能化对收入差距的影响研究[J].中国软科学,2021(3):43-52. [27]林艳,张欣婧.制造企业数字化转型不同阶段的影响因素:基于扎根理论的多案例研究[J].中国科技论坛,2022(6):123-132,142. [28]ZHU K,KRAEMER K L.Post-adoption variations in usage and value of e-business by organizations:crosscountry evidencefrom the retail industry[J].Information Systems Research,2005,16(1):61-84. [29]赵星.新型数字基础设施的技术创新效应研究[J].统计研究,2022,39(4):80-92. [30]诸鑫哲,杨丽华,黄萍.数字基础设施促进了企业数字技术创新吗:基于“宽带中国”战略的准自然实验[J].科技管理学报,2024,26(2):52-66. [31]ZHU K,DONG S,XU S X,et al.Innovation diffusion in global contexts:determinants of post-adoption digital transformation of European companies[J].European Journal of Information Systems,2006,15:601-616. [32]戚聿东,郝越,侯娜,等.装备制造企业数智化转型的模式与路径探索:基于山河智能的案例研究[J].经济管理,2022,44(11):25-45. [33]夏秋.制造业服务化能否促进产业结构升级:基于技术创新和服务需求的中介效应分析[J].中国科技论坛,2021(7):66-75. [34]孙早,侯玉琳.工业智能化如何重塑劳动力就业结构[J].中国工业经济,2019(5):61-79. [35]张明,杜运周.组织与管理研究中QCA方法的应用:定位、策略和方向[J].管理学报,2019,16(9):1312-1323. [36]布和础鲁,陈玲.数字时代的产业政策:以新型基础设施建设为例[J].中国科技论坛,2021,(9):31-41.. [37]肖静华,吴小龙,谢康,等.信息技术驱动中国制造转型升级:美的智能制造跨越式战略变革纵向案例研究[J].管理世界,2021,37(3):161-179,225,11.
2024, 
