|
|
|
| Industrial Internet Platform Data Empowerment, Absorptive Capacity and Digital Transformation of Manufacturing Enterprises |
| Zheng Yonghua 1,2,Sun Yanming 3,Yin Jianfeng4 |
| (1.School of Communication,Guizhou Minzu University,Guiyang 550025,China;2.School of Business Administration,South China University of Technology,Guangzhou 510641,China;3. School of Management Guangzhou University,Guangzhou 51006,China;4.School of Business,Guizhou Minzu University,Guiyang 550025,China) |
|
|
|
|
Abstract In recent years, with the rise of the Industrial Internet, various industrial Internet platforms have emerged, such as Alibaba supET platform, Aerospace Cloud Network and Genyun. There are currently more than 70 platforms. As an important industrial infrastructure, the industrial Internet platform enables the digital transformation of manufacturing enterprises. As the core of resource empowerment in empowerment theory, data empowerment based on the industrial Internet platform ( platform data empowerment) has become an important driving force for the digital transformation of traditional manufacturing enterprises. Platform data empowerment means that the industrial Internet platform provides intelligent data support for manufacturing enterprises by collecting a large amount of operational data and using new-generation digital technologies such as big data and cloud computing. However, what is the internal mechanism of platform data empowerment acting on the digital transformation of manufacturing enterprises? So far, this question has rarely been touched. Therefore, based on the empowerment theory and absorptive capacity, this paper creatively incorporates platform data empowerment into the factors affecting the digital transformation of enterprises.#br#This study selects the traditional manufacturing enterprises in the Pearl River Delta, the Yangtze River Delta, Shandong Peninsula and Guizhou as the research objects, and obtains 239 valid questionnaires. It constructs a multiple linear regression model and uses the structural equation software MPLUS7.0 to verify the hypothesis.#br#The results show that the three sub-dimensions of platform data empowerment,i.e.,platform connection capability, platform intelligence capability and platform analysis capability all have significant positive impacts on the digital transformation of manufacturing enterprises. Absorptive capacity mediates the relationship between platform connection ability, platform intelligence ability, platform analysis ability and the digital transformation of manufacturing enterprises; digital orientation positively regulates the relationship between absorptive capacity and digital transformation of manufacturing enterprises; digital orientation positively regulates the relationship between platform connectivity and digital transformation of manufacturing enterprises, but the moderating role in the relationship among platform intelligence capabilities, platform analysis capabilities and digital transformation of manufacturing enterprises is not significant; digital orientation positively regulates the promotion effect of platform connection ability on the digital transformation of manufacturing enterprises through absorptive capacity, but the moderating effect of platform intelligence ability and analytical ability on the promotion of enterprise digital transformation through absorptive capacity is not significant.#br#Different from the previous literature, this study innovatively extends the empowerment theory to the new situation of digital transformation of manufacturing enterprises for theoretical and empirical analysis, and discusses platform data empowerment and its sub-dimensions (platform connection capability, platform intelligence capability, platform analysis capability). It is found that they have positive impacts on the digital transformation of manufacturing enterprises, thus further enriching the research on the antecedents of the digital transformation of manufacturing enterprises. By introducing the intermediary mechanism of absorptive capacity, this study discusses the role of platform data empowerment and its sub-dimensions in the digital transformation of enterprises, and empirically finds that absorptive capacity plays an important intermediary role in the relationship between platform data empowerment and enterprise digital transformation. A theoretical explanation is given on the path mechanism of platform data empowerment acting on the digital transformation of enterprises. Therefore it is suggested that manufacturing enterprises should incorporate industrial Internet platform into their enterprise development plans to enable the digital transformation of enterprises, speed up their adaptation to the specific requirements of industrial Internet platforms, and support corresponding digital infrastructure and related data resources to accelerate enterprise digital transformation. Meanwhile whether the conclusions are also applicable to all manufacturing enterprises with digital transformation needs to be verified and amended by future research. It is also suggested that future study could incorporate organizational agility, utilization learning, failure learning, utilization innovation, value co creation and other variables into the research model to explore the mechanism and boundary conditions of platform data empowerment on the digital transformation of manufacturing enterprises from a more comprehensive perspective.#br#
|
|
Received: 25 November 2021
|
|
|
|
|
|
[1] 郭润萍,韩梦圆,邵婷婷,等.生态视角下数字化转型企业的机会开发机理——基于海尔和苏宁的双案例研究[J].外国经济与管理,2021,43(9):43-67.
[2] GHOBAKHLOO M, IRANMANESH M.Digital transformation success under Industry 4.0: a strategic guideline for manufacturing smes[J]. Journal of Manufacturing Technology Management, 2021(5):1533-1556.
[3] 卢宝周,尹振涛,张妍.传统企业数字化转型过程与机制探索性研究[J].科研管理，2022,43（4）：83-93.
[4] VIAL G.Understanding digital transformation: a review and a research agenda[J]. The Journal of Strategic Information Systems, 2019, 28(2):118-144.
[5] 肖静华.企业跨体系数字化转型与管理适应性变革[J].改革,2020，33(4):37-49.
[6] HESS,THOMAS,MATT,ET AL. OPTIONS for formulating a digital transformation strategy[J]. MIS QUARTERLY EXECUTIVE,2016,15(2):123-139.
[7] 张振刚,张君秋,叶宝升,等.企业数字化转型对商业模式创新的影响[J].科技进步与对策，2022,39（11）：14-123.
[8] 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.
[9] 池毛毛,叶丁菱,王俊晶,等.我国中小制造企业如何提升新产品开发绩效——基于数字化赋能的视角[J].南开管理评论,2020,23(3):63-75.
[10] SANDBERG J, HOLMSTRM J,LYYTINEN K.Digitization and phase transitions in platform organizing logics: evidence from the process automation industry[J]. MIS Quarterly, 2020, 44(1):129-153.
[11] KOHLI R, MELVILLE N P. digital innovation: a review and synthesis[J]. Information Systems Journal, 2019, 29(1): 200-223.
[12] MATT C,HESS T ,BENLIAN A.Digital transformation strategies[J].Business & Information Systems Engineering,2015,57(5):339-343.
[13] ABRELL T, PIHLAJAMAA M, KANTO L, et al. The role of users and customers in digital innovation: insights from B2B manufacturing firms[J]. Information & Management, 2016, 53(3):324-335.
[14] LI L, SU F, ZHANG W, ET AL. digital transformation by sme entrepreneurs: a capability perspective[J]. information systems journal, 2018, 28(6): 1129-1157.
[15] 朱勤,孙元,周立勇.平台赋能、价值共创与企业绩效的关系研究[J].科学学研究,2019,37(11):2026-2033, 2043.
[16] 李君,邱君降,成雨.工业企业数字化转型过程中的业务综合集成现状及发展对策[J].中国科技论坛,2019,35(7):113-118.
[17] 肖迪,陈瑛,王佳燕,等.考虑平台数据赋能的电商供应链成本分担策略选择研究[J].中国管理科学，2021,29(10)：58-69.
[18] KHIN S, HO T C.Digital technology, digital capability and organizational performance: a mediating role of digital innovation[J]. International Journal of Innovation Science, 2018, 11(6):177-196.
[19] 吴非,胡慧芷,林慧妍,等.企业数字化转型与资本市场表现——来自股票流动性的经验证据[J].管理世界,2021,37(7):130-144，10.
[20] BAACK S. Datafication and empowerment: how the open data movement re-articulates notions of democracy, participation, and journalism[J]. Big Data & Society, 2015,2(2):1-11.
[21] GUENTHER W A, MEHRIZI M, HUYSMAN M, et al. Debating big data: a literature review on realizing value from big data[J]. The Journal of Strategic Information Systems, 2017, 26(3):191-209.
[22] CARMEN L M, PAN S L, RACTHAM P. ICT-enabled community empowerment in crisis response: social media in Thailand flooding 2011[J]. Journal of the Association for Information Systems, 2015, 16(3): 174-212.
[23] MANJUL GUPTA,JOEY F GEORGE. Toward the development of a big data analytics capability[J].Information& Management,2016,53(8):1049-1064.
[24] LENKA S, PARIDA V, WINCENT J. Digitalization capabilities as enablers of value co-creation in servitizing firms[J]. Psychology & Marketing, 2017, 34(1):92-100.
[25] 孙新波,苏钟海,钱雨,等.数据赋能研究现状及未来展望[J].研究与发展管理,2020,32(2):155-166.
[26] 延建林,孔德婧.解析“工业互联网”与工业4.0”及其对中国制造业发展的启示[J].中国工程科学,2015,17(7):141-144.
[27] 周文辉,邓伟,陈凌子.基于滴滴出行的平台企业数据赋能促进价值共创过程研究[J].管理学报,2018,15(8):1110-1119.
[28] 孙新波,苏钟海.数据赋能驱动制造业企业实现敏捷制造案例研究[J].管理科学,2018,31(5):117-130.
[29] CHA K J,HWANG T,GREGOR S.An integrative model of IT-enabled organizational transformation:a multiple case study[J]. Management Decision,2015,53(8),1755-1770.
[30] 池雅琼,刘峰,齐佳音.数字化转型背景下企业数据保护成熟度模型构建[J].情报杂志,2021,40(9):133-140.
[31] COHEN W M,LEVINTHAL D A. Absorptive capacity: a new perspective on learning and innovation[J]. Administrative Science Quarterly, 1990,35(1) : 128-152.
[32] HARDY C, LEIBA-O'SULLIVAN S. The power behind empowerment:implications for research and practice[J]. Human Relations, 1998, 51(4): 451-483.
[33] 张振刚,肖丹,许明伦.数据赋能对制造业企业绩效的影响:战略柔性的中介作用[J].科技管理研究,2021,41(10):126-131.
[34] ZAHRA S A, GEORGE G. absorptive capacity: a review, reconceptualization, and extension[J]. Academy of Management Review, 2002, 27(2): 185-203.
[35] 尹剑峰,叶广宇,黄胜.国际化导向、国际知识吸收能力与国际机会识别关系研究[J].科学学与科学技术管理,2021,42(8):76-96.
[36] ZHOU K Z, WU F. technological capability, strategic flexibility, and product innovation[J]. strategic management journal, 2010, 31(5): 547-561.
[37] 温忠麟,叶宝娟.中介效应分析:方法和模型发展[J].心理科学进展,2014,22(5):731-745.
[38] EDWARDS J R,LAMBERT L S.methods for integrating moderation and mediation:a general analytical framework using moderated path analysis.[J]. psychological methods, 2007, 12(1):1-22.
[39] 郭星光,陈曦.数据赋能与我国制造企业创新:前沿探析与未来展望[J].科技进步与对策,2021,38(15):151-160.
[40] 严子淳,李欣,王伟楠.数字化转型研究:演化和未来展望[J].科研管理,2021,42(4):21-34.
|
|
|
|
