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[目的]为量化分析数字化转型对船舶制造企业绩效的提升效果,掌握其内在作用机制,[方法]基于其2011—2023年的数字化转型水平数据,综合运用主成分分析与回归模型开展数字化转型对企业绩效的影响评估。[结果]研究发现:企业数字化转型水平每提升1个标准化单位,企业的总产值增长30.4%,设计、制造、管理和供应链等4个应用系统的数字化转型水平的综合贡献相对均衡。研究表明:数字化转型是船舶制造业发展的必经之路,成功实现数字化转型的关键是实现设计、采购、制造和管理等环节的数据共享,而实现数据共享的关键是构建企业的数据标准体系以及用于描述企业行为、特征、状态和绩效的企业数据模型。[结论]提出的基于核心系统应用深度的数字化转型水平综合测度方法可供制造企业的转型成效评估和资源优化配置参考。
Abstract:[Purpose] To quantitatively analyse the impact of digital transformation on enhancing the performance of shipbuilding enterprises and to understand its underlying mechanisms, [Method] the research employs principal component analysis and regression models to assess the influence of digital transformation on corporate performance, based on its digital transformation level data from 2011 to 2023. [Result] It reveals that for every one standardised unit increase in an enterprise's digital transformation level, its total output value grows by 30.4%. The combined contribution from the four application systems-design, manufacturing, management, and supply chain-remains relatively balanced. The research indicates that digital transformation is an indispensable pathway for the development of the shipbuilding industry. The key to successfully achieving digital transformation lies in enabling data sharing across design, procurement, manufacturing, and management systems. Crucially, realising data sharing hinges on establishing an enterprise data standards system and developing an enterprise data model that describes organisational behaviour, characteristics, status, and performance. [Conclusion] The proposed comprehensive measurement method for digital transformation levels, based on the depth of core system application, provides a reference for manufacturing enterprises to evaluate transformation effectiveness and optimise resource allocation.
[1]黄丽华,朱海林,刘伟华,等.企业数字化转型和管理:研究框架与展望[J].管理科学学报, 2021, 24(8):26-35.HUANG L H, ZHU H L, LIU W H, et al.The Firm's Digital Transformation and Management:Toward a Research Framework and Future Directions[J]. Journal of Management Sciences in China, 2021, 24(8):26-35.
[2]贺正楚,潘为华,潘红玉,等.制造企业数字化转型与创新效率:制造过程与商业模式的异质性分析[J].中国软科学, 2023(3):162-177.HE Z C, PAN W H, PAN H Y, et al. Digital Transformation and Innovation Efficiency of Manufacturing Firms:Heterogeneity Analysis of Manufacturing Processes and Business Models[J].China Soft Science, 2023(3):162-177.
[3]钱晶晶,何筠.传统企业动态能力构建与数字化转型的机理研究[J].中国软科学, 2021(6):135-143.QIAN J J, HE Y. Dynamic Capability Evolution and Digital Transformation of Traditional Enterprise[J].China Soft Science, 2021(6):135-143.
[4]徐晔,王志超.数据要素市场化建设与企业数字化转型——基于数据交易平台的准自然实验[J].软科学,2024, 38(9):24-29.XU Y, WANG Z C. Data Elements Marketization and Enterprise Digital Transformation:A Quasi-natural Experiment Based on Data Trading Platform[J]. Soft Science, 2024, 38(9):24-29.
[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]BUCHI G, CUGNO M, CASTAGNOLI R J S.Economies of Scale and Network Economies in Industry4.0[J]. Symphonya Emerging Issues in Management,2018(2):66-76.
[7]TORTORELLA G L, VERGARA A M C,GARZA-REYES J A, et al. Organizational Learning Paths Based Upon Industry 4.0 Adoption:an Empirical Study with Brazilian Manufacturers[J]. International Journal of Production Economics, 2020, 219:284-294.
[8]BUYYA R, YEO C S, VENUGOPAL S, et al. Cloud Computing and Emerging IT Platforms:Vision, Hype and Reality for Delivering Computing as the 5th Utility[J]. Future Generation Computer Systems, 2009,25(6):599-616.
[9]GHASEMAGHAEI M, CALIC G J J O B R. Assessing the Impact of Big Data on Firm Innovation Performance:Big Data is not Always Better Data[J]. Journal of Business Research, 2020, 108:147-162.
[10]ATZORI L, IERA A, MORABITO G J C N. The Internet of Things:a Survey[J]. 2010, 54(15):2787-2805.
[11]邹蕾,张先锋.人工智能及其发展应用[J].信息网络安全, 2012(2):11-13.ZOU L, ZHANG X F. Application and Development of the Artificial Intelligence[J]. Netinfo Security, 2012(2):11-13.
[12]戚聿东,蔡呈伟.数字化企业的性质:经济学解释[J].财经问题研究, 2019(5):121-129.QI Y D, CAI C W. The Nature of Digital Enterprises:An Economic Interpretation[J]. Research On Financial and Economic Issues, 2019(5):121-129.
[13]卢艳秋,宋昶,王向阳,等.知识管理视角下企业间信任驱动企业数字化转型的路径研究——基于工业互联网平台用户企业的案例[J].科技进步与对策,2023, 40(18):109-119.LU Y Q, SONG C, WANG X Y, et al. The Digital Transformation Path of Enterprises Driven by Inter-Firm Trust from the Perspective of Knowledge Management:a Case Study of User Enterprises Based on IIoT Platform[J]. Science&Technology Progress and Policy, 2023, 40(18):109-119.
[14]陈畴镛,许敬涵.制造企业数字化转型能力评价体系及应用[J].科技管理研究, 2020, 40(11):46-51.CHEN Z Y, XU J H. Manufacturing Enterprise Digital Transformation Ability Evaluation System and Application[J]. Science and Technology Management Research, 2020, 40(11):46-51.
[15]魏江,刘嘉玲,刘洋.数字经济学:内涵、理论基础与重要研究议题[J].科技进步与对策, 2021, 38(21):1-7.WEI J, LIU J L, LIU Y. Digital Economy:Connotations,Theoretical Basis and Future Research[J]. Science&Technology Progress and Policy, 2021, 38(21):1-7.
[16]杨德明,毕建琴.“互联网+”、企业家对外投资与公司估值[J].中国工业经济, 2019(6):136-153.YANG D M, BI J Q."Internet Plus", Entrepreneurs'External Investment and Corporate Valuation[J]. China Industrial Economics, 2019(6):136-153.
[17]HENDERSON J C, VENKATRAMAN H. Strategic Alignment:Leveraging Information Technology for Transforming Organizations[J]. IBM Systems Journal,1999, 38(2/3):472-484.
[18]李琦,刘力钢,邵剑兵.数字化转型、供应链集成与企业绩效——企业家精神的调节效应[J].经济管理,2021, 43(10):5-23.LI Q, LIU L G, SHAO J B. The Effects of Digital Transformation and Supply Chain Integration on Firm Performance:The Moderating Role of Entrepreneurship[J]. Business and Management Journal, 2021, 43(10):5-23.
[19]ABOUZEEDAN A, KLOFSTEN M, HEDNER T.Internetization Management as a Facilitator for Managing Innovation in High-Technology Smaller Firms[J]. Global Business Review, 2013, 14(1):121-136.
[20]戚聿东,蔡呈伟.数字化对制造业企业绩效的多重影响及其机理研究[J].学习与探索, 2020(7):108-119.QI Y D, CAI C W. Research on the Multiple Effects of Digitalization on the Performance of Manufacturing Enterprises and Their Mechanisms[J]. Study&Exploration, 2020(7):108-119.
[21]余江,孟庆时,张越,等.数字创新:创新研究新视角的探索及启示[J].科学学研究, 2017, 35(7):1103-1111.YU J, MENG Q S,ZHANG Y, et al. Digital Innovation:Exploration and Enlightenment of the New Perspective of Innovation Research[J]. Studies in Science of Science,2017, 35(7):1103-1111.
[22]张洪强.以精益管理助力船舶业智能制造转型探讨[J].中国设备工程, 2020(10):20-22.ZHANG H Q. Exploration and Reflection on the Digital Transformation of Shipbuilding Enterprises[J]. China Plant Engineering, 2020(10):20-22.
[23]李震邦.数字孪生技术与智能船舶发展[J].船舶工程,2022, 44(增刊1):543-547.LI Z B. Digital Twin Technology and the Development of Intelligent Ships[J]. Ship Engineering, 2022,44(Suppl. 1):543-547.
[24]魏世海.船舶企业数字化转型的探索与思考[J].中国水运, 2023, 23(24):4-6.WEI S H. Exploration and Reflection on the Digital Transformation of Shipbuilding Enterprises[J]. China Water Transport, 2023, 23(24):4-6.
[25]刘微,宋杨,严平,等.船舶数字化建造发展现状与趋势[J].舰船科学技术, 2022, 44(15):173-176.LIU W, SONG Y, YAN P, et al. Development Status and Trend of Ship Digital Construction[J]. Ship Science and Technology, 2022, 44(15):173-176.
[26]蔡文,靖婧,吴剑锋.数字化转型对船舶总装企业质量管理发展影响简析[J].中国质量, 2024(2):39-43.CAI W, JING J, WU J F. A Brief Analysis of the Impact of Digital Transformation on the Quality Management Development of Ship Assembly Enterprises[J]. China Quality, 2024(2):39-43.
[27]陆燕辉.我国智能制造技术探索之路[J].船舶工程,2023, 45(6):6-9.LU Y H. The Exploration Journey of Intelligent Manufacturing Technology in Our Country[J]. Journal of Marine Science and Engineering, 2023, 45(6):6-9.
[28]林洪山.智能造船要提防“大而全”[J].广东造船,2022, 41(4):11-12.LIN H S. Intelligent Shipbuilding Should be Cautious of the"All-Inclusive"Approach[J]. Guangdong Shipbuilding, 2022, 41(4):11-12.
[29]周永志.船舶电气智能设计数字化信息模型研究[J].船舶物资与市场, 2023, 31(4):73-75.ZHOU Y Z. Study on the Digitize Information Model in Intelligent Marine Electric Design System[J]. Marine Equipment Materials&Marketing , 2023, 31(4):73-75.
[30]张寒冰.供应链在船舶数字化改造及配套采购中的应用[J].船舶物资与市场, 2023, 31(3):1-3.ZHANG H B. The Application of Supply Chain in the Digital Transformation and Supporting Procurement of Ships[J]. Marine Equipment/Materials&Marketing,2023, 31(3):1-3.
[31]熊峰,沈泽炎,孔维畅.基于遗传算法的数字化船舶车间仓库设备货位优化[J].工业控制计算机,2022, 35(12):14-17.XIONG F, SHEN Z Y, KONG W C. Optimization of Equipment Location in Digital Workshop Warehouse Based on Genetic Algorithm[J]. Industrial Control Computer, 2022, 35(12):14-17.
[32]韦刚,李秀文,沙新明.基于“先焊后弯”的船舶管系数字化信息化生产线设计与应用[J].机电设备,2021, 38(2):89-92.WEI G, LI X W, SHA X M. Design and Application of Digital and Informationized Production Line of Ship Pipes Based on"Welding Before Bending"[J].Mechanical and Electrical Equipment, 2021, 38(2):89-92.
[33]孙静,王建冬.多级市场体系下形成数据要素资源化、资产化、资本化政策闭环的总体设想[J].电子政务, 2024(2):12-20.SUN J, WANG J D. The Overall Concept of Forming A Policy Loop for the Resourceization, Assetization and Capitalization of Data Elements Under A Multi-Level Market System[J]. E-Government,2024(2):12-20.
基本信息:
DOI:10.13788/j.cnki.cbgc.2026.03.15
中图分类号:F426.474
引用信息:
[1]李婉辰,葛世伦,张美书,等.数字化转型对船舶制造企业绩效的影响评估[J].船舶工程,2026,48(03):133-141+151.DOI:10.13788/j.cnki.cbgc.2026.03.15.
基金信息:
国家自然科学基金面上项目(72372060);国家自然科学基金重点项目(72432004); 船舶制造业数字化转型顶层设计研究(CBG01N23-01-01); 教育部人文社科规划基金项目(25YJA630112); 江苏省社会科学基金项目(25GLC018)
2026-03-25
2026-03-25