|
|
|
| How Core Enterprises in Intelligent Manufacturing Lead the Establishment of Innovation Consortium: An Exploratory Case Study of the Huawei Intelligent Car |
| Zhu Guojun,Wang Xiuqi,Zhang Hongyuan |
| ( School of Business, Jiangsu Ocean University, Lianyungang 222005, China) |
|
|
|
|
Abstract With the deep integration of information technology and manufacturing industry,the innovation mode of manufacturing industry has been changing profoundly. There is strong growth momentum of the innovation consortium led by core enterprises in intelligent manufacturing, such as the intelligent vehicle innovation consortium led by Huawei. Therefore this paper aims to systematically analyze the realization path of core enterprises in intelligent manufacturing leading the establishment of innovation consortium, which is conducive to the establishment of innovation consortium with deep integration of industry, education and research, and the realization of disruptive innovation in artificial intelligence, integrated circuits, new materials and other core technology fields. #br# On the basis of digital innovation theory and value co-creation theory, this study uses the resource capability performance analysis framework, analyzes the data enabling driving role ofcore enterprises in intelligent manufacturing from the platform ecological context level, and explores the cross-border network collaborative process mechanism of intelligent manufacturing core enterprises leading the formation of innovation consortia. The single-case exploratory research method is adopted to conduct an in-depth analysis of the complex relationship between the core enterprises of intelligent manufacturing and the other joint innovation subjects. Twenty influential scholars in the field of smart cars, Huawei smart car business staff and partners, and super consumers are selected for interview. The interview is semi-structured and the average interview time is 60 minutes In addition, the data is further collated through the information publicly released by senior executives, such as speeches, interview videos, Microblogs, news reports, industry analysis reports of securities companies, internal information of enterprises and other secondary materials to support the interview results and support data triangle verification.#br#The role and role mechanism of intelligent manufacturing core enterprises in the formation of innovation consortium is clarified. It is found that the core enterprises play the driving role of data enabling, realize the cross-border strategic network coordination, cross-border organization network cooperation of the innovation consortium, cross-border resource network cooperation and cross-border system network coordination, so that they form the collaborative evolution dynamic ability, obtain product functions, and realise disruptive innovation in production, manufacturing and the business model. #br#Furthermore this study refines the process framework of intelligent manufacturing core enterprises leading the formation of innovation consortium. To be more specific, data empowerment is the resource basis for intelligent manufacturing core enterprises to take the lead in establishing innovation consortia. Cross border network collaboration is a process mechanism for intelligent manufacturing core enterprises to lead the formation of innovation consortia. The focus is cross-border network collaboration with platform ecological connection. Through strategic, resource, institutional and other multi-party collaboration, they can deeply interact with other innovation entities to form multiple, multi-level combinations of relationships and improve the overall competitiveness of innovation ecology. The dynamic capability of collaborative evolution is the basis of the ability of intelligent manufacturing core enterprises to lead the formation of innovation consortium. Disruptive innovation is the strategic goal of intelligent manufacturing core enterprises to lead the formation of innovation consortium. With the active participation of leading enterprises and small, medium and micro enterprises, universities, research institutes, financial institutions, it is possible to break through the bottlenecks of key technologies and cutting-edge leading technologies to achieve disruptive innovation in product functions, production and manufacturing, and business models.#br#Through the exploratory case study of Huawei intelligent car business, this paper provides new connotations of digital innovation theory and a new paradigm of value co-creation theory; it further depicts new characteristics of disruptive innovation theory, providing theoretical guidance for the digital transformation of traditional industry-university-research cooperation innovation alliance. It is stressed thatintelligent manufacturing core enterprises play a key role in the formation of innovation consortia; the paradigm of "intelligent manufacturing core enterprise - leading cluster enterprise - super consumer" interactive empowerment path is a feasible path for intelligent manufacturing core enterprises to take the lead in establishing innovation consortium.#br#
|
|
Received: 09 July 2021
|
|
|
|
|
|
| [1] 念沛豪,栾群,张学俊. “十四五”制造业范式变革的四大趋势[J]. 机器人产业,2021(2):12-16.[2] 闫俊周,姬婉莹,熊壮. 数字创新研究综述与展望[J]. 科研管理,2021,42(4):11-20.[3] 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.[4] 陈国青,吴刚,顾远东,等. 管理决策情境下大数据驱动的研究和应用挑战:范式转变与研究方向[J]. 管理科学学报,2018,21(7):1-10.[5] 戚聿东,肖旭,蔡呈伟. 产业组织的数字化重构[J]. 北京师范大学学报(社会科学版),2020,65(2):130-147.[6] CEBON P. Swarm creativity:competitive advantage through collaborative innovation networks[J].Innovation,2006,8(4-5):403-414.[7] 马宗国,尹圆圆. 基于研究联合体的开放式创新生态系统的构建[J]. 科学管理研究,2017,35(6):20-23.[8] 刘戒骄,方莹莹,王文娜. 科技创新新型举国体制：实践逻辑与关键要义[J]. 北京工业大学学报(社会科学版),2021,21(5):89-101.[9] 贺俊. 制造强国建设的关键维度和战略要点[J]. 改革,2021,34(2):81-89.[10] 朱国军,王修齐,孙军. 工业互联网平台企业成长演化机理:交互赋能视域下双案例研究[J]. 科技进步与对策,2020,37(24):108-115.[11] 张明超,孙新波,王永霞. 数据赋能驱动精益生产创新内在机理的案例研究[J]. 南开管理评论,2021,24(3):102-116.[12] 张振刚,尚钰,陈一华. 大数据能力对企业创新绩效的影响:IT-业务融合与双元环境的调节作用[J]. 科技进步与对策,2021,38(14):82-90.[13] TEECE D J. Explicating dynamic capabilities:the nature and microfoundations of (sustainable) enterprise performance[J]. Strategic Management Journal,2007,28(13):1319-1350.[14] 马浩,侯宏,刘昶. 数字经济时代的生态系统战略：一个ECO框架[J]. 清华管理评论,2021,11(3):24-33.[15] GHASEMAGHAEI M,CALIC G. 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.[16] 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.[17] 曾可昕,张小蒂. 数字商务与产业集群外部经济协同演化：产业数字化转型的一种路径[J]. 科技进步与对策,2021,38(16):53-62.[18] 张璐阳,戚聿东. 数字技术背景集成电路产业颠覆创新模式构建[J]. 科学学研究,2021,39(5):920-929.[19] 张庆普,周洋,王晨筱,等. 跨界整合式颠覆性创新内在机理与机会识别研究[J]. 研究与发展管理,2018,30(6):93-105.[20] 张玉利,李雪灵,周欣悦,等.商业模式创新过程:“从无到有”与“从有到新”[J].管理学季刊,2020,5(3):113-118.[21] 刘铁铮. 共享经济视角下海尔HOPE开放式创新平台创新模式的研究[D]. 济南:山东大学,2019. |
|
|
|
