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Market Turbulence Driving Enterprise Intelligent Transformation: A Threshold Effect Study |
Wang Cizhi1,Feng Jialin1,Sun Zhongjuan1,Xie Wei2 |
(1.College of Business Administration, Capital University of Economics and Business, Beijing 100070,China;2.School of Economics and Management, Tsinghua University, Beijing 100084, China) |
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Abstract "Made in China 2025" is the first 10-year plan of national manufacturing power strategy, and the intelligent transformation has become the developing focus for manufacturing enterprises in recent years. The feature of digital economic market is volatile, uncertain, complex and ambiguous. The market turbulence performs unstable changes of customer demand and market competition which provide opportunity windows for enterprise intelligent transformation. The intelligent transformation refers to the process that a firm uses digital and intelligent technology to upgrade R&D and reshape the enterprises' existing resource allocation according to intelligent strategic concepts and technical requirements. Existing studies have pointed out that intelligent transformation is not only a transformation of technological innovation, but also a transformation of organizational configuration that requires enterprises to integrate intelligent concepts into existing manufacturing, sales logistics, organizational operations, strategic structures and other links at the strategic level. Therefore, the enterprise intelligent transformation needs to be conducted on both technical level and the strategy level to catch the new opportunities in the turbulent market. On the technical level, the technological innovation capability refers to the ability to develop new process technologies and new products to satisfy market demands. On the strategic level, the strategic flexibility capability refers to the ability to reset resources and organizational processes. However, previous researches have paid little attention to the technical and strategic aspects of enterprise intelligent transformation. Therefore, this paper incorporates market turbulence, intelligent transformation, technological innovation capability and strategic flexibility capability into the research framework, exploring whether there exists threshold of capabilities required by enterprises in market turbulence driving the enterprise intelligent transformation.#br#This paper combines the technological innovation theory and strategic flexibility theory, uses the balanced panel data of 518 listed manufacturing companies which are in continuous operating from 2010 to 2020 to verify the hypothesis by defining variables and constructing the threshold regression model. The results of empirical analyses show that firstly there exists a single threshold of technological innovation capability during the process of turbulent market driving enterprise intelligent transformation. When an enterprise's technological innovation capability crosses the threshold, the turbulent market will positively drive enterprise intelligent transformation. Secondly there is the single threshold of strategic flexibility capability during the process of turbulent market driving intelligent enterprise transformation. When an enterprise's strategic flexibility capability crosses the threshold, the turbulent market will also positively drive enterprise intelligent transformation.#br#This study enriches the application of technological innovation theory and strategic flexibility theory. First, based on the threshold effect, this paper constructs the micro-mechanism ofmarket turbulence driving enterprise intelligent transformation with the thresholds of technological innovation capability and strategic flexibility capability. It tries to explore the threshold mechanism and expands the research on the micro-mechanism of enterprise intelligent transformation. Second, this study simultaneously considers the technical and strategic aspects in the enterprise intelligent transformation process and proposes that technological innovation capability is the technical basis for enterprise intelligent transformation and strategic flexibility is the high-level strategic layout for enterprise intelligent transformation. In the turbulent market, the intelligent transformation of enterprises should consider both the existing technological innovation capability and strategic flexibility capability. Third, this study enriches the research perspective of strategic flexibility theory and extends it to the related mechanism research of enterprise intelligent transformation, and it verifies the important role of strategic flexibility in the process of market turbulence driving enterprise intelligent transformation.#br#There are two practical implications for the intelligent transformation of enterprises. On the one hand,successful intelligent transformation in a turbulent market environment has two capability thresholds: technological innovation and strategic flexibility. On the technical level, enterprises need to accumulate enough knowledge and capabilities to screen and capture intelligent technologies suitable for the company's development, integrate technologies and reconstruct the existing production technologies; on the strategic level, enterprises need to realize flexible response of the resources internally and adaptive shaping of the value chain between stakeholders externally. On the other hand, the intelligent transformation of enterprises is not only an intelligent upgradation at the technical level, but also requires a flexible reshaping of internal and external resources on the corresponding strategic level based on digital intelligence technology. Accordingly, enterprises should apply the concept of intelligence to the planning, implementation and adjustment of strategies, so as to truly empower the high-quality development of enterprises in intelligent transformation.#br#
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Received: 09 December 2021
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[1] JAWORSKI B J, KOHLI A K. Market orientation: antecedents and consequences[J].Journal of Marketing, 1993, 57(3): 53-70. [2] DAVIS J, EDGAR T, PORTER J, et al. Smart manufacturing, manufacturing intelligence and demand-dynamic performance[J].Computers & Chemical Engineering, 2012, 47: 145-156. [3] 郑勇华,孙延明,尹剑峰. 智能化转型、智能化能力与制造企业转型绩效——战略匹配的调节作用[J].科技进步与对策,2022,39(18):90-109. [4] FARID A M. Measures of reconfigurability and its key characteristics in intelligent manufacturing systems[J].Journal of Intelligent Manufacturing, 2017, 28(1): 1-17. [5] 黄俊,郭耿轩,刘敏,秦颖. 动态能力视阈下我国汽车制造企业智能化转型升级路径研究——对3家本土自主品牌车企的跨案例探讨[J].科技进步与对策,2018,35(23):121-129. [6] ZHONG R Y, XU X, KLOTZ E, et al. Intelligent manufacturing in the context of industry 4.0: a review[J].Engineering, 2017, 3(5): 616-630. [7] YAM R, LO W, TANG E, et al. Analysis of sources of innovation, technological innovation capabilities, and performance: an empirical study of Hong Kong manufacturing industries[J].Research Policy, 2011, 40(3): 391-402. [8] 陈劲,陈钰芬. 开放创新体系与企业技术创新资源配置[J].科研管理,2006,27(3):1-8. [9] SANCHEZ R. Strategic flexibility in product competition[J].Strategic Management Journal, 1995, 16(S1): 135-159. [10] SIRMON D G, HITT M A, IRELAND R D. Managing firm resources in dynamic environments to create value: looking inside the black box[J].Academy of Management Review, 2007, 32(1): 273-292. [11] AFUAH A. Mapping technological capabilities into product markets and competitive advantage: the case of cholesterol drugs[J].Strategic Management Journal,2002,23(2):171-179. [12] 孙忠娟,张娜娜,谢伟. 中国后发企业能力积累机制研究——基于联想与华为国际化的案例对比分析[J].科学学研究,2021,39(6):1084-1093. [13] 李晓莉,于渤. 面向技术跨越的后发企业技术创新战略与技术创新能力动态演化仿真研究[J].科学学与科学技术管理,2017,38(11):83-100. [14] CETINDAMAR D, PHAAL R, PROBERT D. Understanding technology management as a dynamic capability: a framework for technology management activities[J].Technovation, 2009, 29(4): 237-246. [15] 袁野,汪书悦,陶于祥. 人工智能关键核心技术创新能力测度体系构建:基于创新生态系统视角[J].科技进步与对策,2021,38(18):84-93. [16] HENDERSON J C, VENKATRAMAN N. Strategic alignment: leveraging information technology for transforming organizations[J].IBM Systems Journal, 1993, 32(1): 4-16. [17] LI B, CHEN R S, LIU C Y. Using intelligent technology and real-time feedback algorithm to improve manufacturing process in IoT semiconductor industry[J].The Journal of Supercomputing, 2021, 77(5): 4639-4658. [18] 徐鹏,徐向艺. 人工智能时代企业管理变革的逻辑与分析框架[J].管理世界,2020,36(1):122-129,238. [19] MIROSHNYCHENKO I, STROBL A, MATZLER K, et al. Absorptive capacity, strategic flexibility, and business model innovation: empirical evidence from Italian SMEs[J].Journal of Business Research, 2021, 130: 670-682. [20] CELUCH K, MURPHY G. SME Internet use and strategic flexibility: the moderating effect of IT market orientation[J].Journal of Marketing Management, 2010, 26(1-2): 131-145. [21] WARNER K, WGE M. Building dynamic capabilities for digital transformation: an ongoing process of strategic renewal[J].Long Range Planning, 2019, 52(3): 326-349. [22] 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. [23] 许治,陈郑逸帆,朱明晶. 企业持续创新必然促进业绩增长——基于环境动荡性调节效应的分析[J].科学学与科学技术管理,2020,41(12):3-19. [24] 李苗苗,肖洪钧,傅吉新. 财政政策、企业R&D投入与技术创新能力——基于战略性新兴产业上市公司的实证研究[J].管理评论,2014,26(8):135-144. [25] NADKARNI S, NARAYANAN V K. Strategic schemas, strategic flexibility, and firm performance: the moderating role of industry clockspeed[J].Strategic Management Journal, 2007, 28(3): 243-270. [26] 何帆,刘红霞. 数字经济视角下实体企业数字化变革的业绩提升效应评估[J].改革,2019,32(4):137-148. [27] 戚拥军,王龙君. 高管持股变动、技术创新与公司价值——基于不同产权性质的比较[J].科技进步与对策,2022,39(16):123-133. [28] LIU Y, DONG J, YING Y, et al. Status and digital innovation: a middle-status conformity perspective[J].Technological Forecasting and Social Change, 2021, 168(3): 120781. [29] 唐松,李青,吴非. 金融市场化改革与企业数字化转型——来自利率市场化的中国经验证据[J].北京工商大学学报(社会科学版),2022,37(1):13-27. [30] HANSEN B E. Sample splitting and threshold estimation[J].Econometrica, 2000, 68(3): 575-603. [31] WANG Q. Fixed-effect panel threshold model using stata[J].The Stata Journal, 2015, 15(1): 121-134.
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