Analysis of Multiple Driving Paths for Digital Transformation of“Little Giant”SRDI Enterprises —— fsQCA Analysis Based on Technology-Organization-Environment Framework
Guo Jinhua1,2, Zheng Qing1
1. School of Business Administration,Shanxi University of Finance and Economics,Taiyuan 030006,China; 2. School of Economics,Central University of Finance and Economics,Beijing 102206,China
Abstract：Promoting the digital transformation of SRDI(specialized-refinement-differential-innovation)enterprises is an important gripper in solving“neck sticking”technical problems,and also plays an important role in fostering new quality productive forces and promoting the high-quality development of the economy.Based on the theoretical framework of“Technology-Organization-Environment”(TOE),this paper applies fuzzy set qualitative comparative analysis(fsQCA)to explore the multiple concurrent factors and driving paths of digital transformation in 123 national“small giant”listed SRDI enterprises.The results of the study show as follows.① None of the conditions of digital technology,organizational resources and various environmental factors can constitute the necessary conditions for the digital transformation of“little giant”SRDI enterprises alone,and all factors need to be coordinated to effectively promote the digital transformation of SRDI enterprises.②There are obvious differences in the paths of digital transformation between digital native enterprises and non-digital native enterprises among SRDI enterprises.The pathways that drive digital transformation for digital native enterprises include technology-led-organizational resources support type,technology-led-policy environment support type,and technology-led-consumption environment drive type.The paths that drive digital transformation for non-digital native enterprises include all-factor-driven type and technology-environment dual-driven type.The conclusions of this study enrich the factors affecting the digital transformation of SRDI enterprises,and provide policy enlightenment for them to solve the difficulties of digital transformation and promote innovation-driven development.
[1] 董志勇,李成明.“专精特新”中小企业高质量发展态势与路径选择[J].改革,2021(10):1-11. [2] 雷李楠,谭子雁.“单项冠军+小巨人”:关键核心技术突破的互补力量[J].清华管理评论,2021(12):93-100. [3] 曾宪聚,曾凯,任慧,等.专精特新企业成长研究:综述与展望[J].外国经济与管理,2024,46(1):62-76. [4] 牛璐,陈志军,刘振.资源与能力匹配下的中小企业数字化转型研究[J].科学学研究,2024,42(4):766-777. [5] VIAL G.Understanding digital transformation:A review and a research agenda[J].The Journal of Strategic Information Systems,2019,28(2):118-144. [6] 郭金花,朱承亮.数字化转型、人力资本结构调整与制造业企业价值链升级[J].经济管理,2024,46(1):47-67. [7] 袁淳,肖土盛,耿春晓,等.数字化转型与企业分工:专业化还是纵向一体化[J].中国工业经济,2021(9):137-155. [8] LI T H,WEN J Y,ZENG D W,et al.Has enterprise digital transformation improved the efficiency of enterprise technological innovation? A case study on Chinese listed companies[J].Mathematical Biosciences and Engineering,2022,19(12):12632-12654. [9] 俞立平,朱莹,金鹏,等.数字化转型、高技术产业技术创新与成果转化[J].中国科技论坛,2023(12):72-83. [10] 赵宸宇,王文春,李雪松.数字化转型如何影响企业全要素生产率[J].财贸经济,2021,42(7):114-129. [11] 王海,闫卓毓,郭冠宇,等.数字基础设施政策与企业数字化转型:“赋能”还是“负能”[J].数量经济技术经济研究,2023,40(5):5-23. [12] 王宏鸣,孙鹏博,郭慧芳.数字金融如何赋能企业数字化转型:来自中国上市公司的经验证据[J].财经论丛,2022(10):3-13. [13] 董竹,柏向昱.营商环境不确定性对企业数字化转型的影响:革故鼎新还是畏葸不前[J].西安交通大学学报(社会科学版),2024,44(2):52-63. [14] ZHANG K X,BU C Q.Top managers with information technology backgrounds and digital transformation:Evidence from small and medium companies[J].Economic Modelling,2024,132:106629. [15] HU D M,PENG Y,FANG T,et al.The effects of executives' overseas background on enterprise digital transformation:Evidence from China[J].Chinese Management Studies,2022,17(5):1053-1084. [16] ALNUAIMI B K,SINGH S K,REN S,et al.Mastering digital transformation:The nexus between leadership,agility,and digital strategy[J].Journal of Business Research,2022,145:636-648. [17] 曹勇,刘弈,东志纯,等.动态能力视角下组织惯性对制造企业数字化转型的影响研究[J].中国科技论坛,2022(10):85-94. [18] 陈玉宏,胡延琦.动态能力、资源要素对制造企业数字化转型路径选择影响研究[J].创新科技,2024,24(8):69-78. [19] 余澳,张羽丰,刘勇.“专精特新”中小企业数字化转型关键影响因素识别研究:基于1625家“专精特新”中小企业的调查[J].经济纵横,2023(4):79-89. [20] 卓乘风,陈劲.“揭榜挂帅”如何赋能我国科技自立自强:兼论基础研究的“杠杆作用”[J].科学学与科学技术管理,2024,45(8):3-16. [21] 韩洪灵,彭瑶,刘强.技术进步与就业增长并存:基于专精特新“小巨人”企业认定政策的研究[J].科学学研究,2024,42(10):2055-2066,2129. [22] 曹梦弋,夏青.产业政策与“专精特新”企业全要素生产率[J].外国经济与管理,2023,45(10):84-100. [23] 杨林,徐培栋.有无相生:数字化背景下“专精特新”单项冠军企业双元创新的前因组态及其效应研究[J].南开管理评论,2024,27(2):137-151. [24] 曹钰华,张延莉,石蓉荣,等.数字化转型驱动的专精特新“小巨人”组织韧性前因组态研究:基于上市企业年报文本挖掘的fsQCA分析[J].外国经济与管理,2023,45(10):68-83. [25] 李振东,梅亮,朱子钦,等.制造业单项冠军企业数字创新战略及其适配组态研究[J].管理世界,2023,39(2):186-208. [26] 刘洋,董久钰,魏江.数字创新管理:理论框架与未来研究[J].管理世界,2020,36(7):198-217,219. [27] 叶永卫,李鑫,刘贯春.数字化转型与企业人力资本升级[J].金融研究,2022(12):74-92. [28] XU G Y,LI G G,SUN P B,et al.Inefficient investment and digital transformation:What is the role of financing constraints[J].Finance Research Letters,2023,51:103429. [29] CHEN C L,LIN Y C,CHEN W H,et al.Role of government to enhance digital transformation in small service business[J].Sustainability,2021,13(3):1028. [30] 赖立,谭培文.数字中国建设背景下数字消费的内涵、困境及发展路径[J].经济学家,2023(12):95-103. [31] 李煜华,舒慧珊,向子威.数字原生企业与非原生企业数字化转型组态路径研究:基于“技术-组织-环境”理论框架[J].软科学,2023,37(7):58-65. [32] 单宇,王鲲,刘爽.数字原生企业数据价值激活过程的案例研究[J].研究与发展管理,2023,35(3):36-51. [33] HADLOCK C J,PIERCE J R.New evidence on measuring financial constraints:Moving beyond the KZ index[J].Review of Financial Studies,2010,23(5):1909-1940. [34] 孙伟增,毛宁,兰峰,等.政策赋能、数字生态与企业数字化转型:基于国家大数据综合试验区的准自然实验[J].中国工业经济,2023(9):117-135.
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