物流技术创新对供应链柔性的影响：一个有调节的中介模型

摘要/Abstract

摘要： 随着企业竞争环境的愈加激烈和复杂，越来越多的企业意识到创新发展及供应链柔性的重要性。不断优化升级的物流技术成为实现对客户需求快速响应的重要手段。物流技术创新为供应链协同及供应链柔性提供了基础保障和重要条件，提升了企业应对不确定性的动态能力和竞争优势。本研究关注物流技术创新对供应链柔性的影响，探讨供应链协同及企业规模在两者影响关系中的作用。研究结果表明：物流技术创新对供应链柔性具有显著正向影响；供应链协同在物流技术创新与供应链柔性的关系中起中介作用；企业规模越大，物流技术创新与供应链柔性的正相关关系越弱，物流技术创新与供应链协同的正相关关系也越弱，但供应链协同与供应链柔性之间的正相关关系越强。

关键词: 物流技术创新, 供应链柔性, 供应链协同, 企业规模

Abstract: With the increasingly fierce and complex competition environment of enterprises, more and more enterprises realize the importance of innovative development and supply chain flexibility. Continuously optimizing and upgrading logistics technology has become an important means to achieve rapid response to customer needs. Logistics technology innovation provides basic guarantees and important conditions for supply chain coordination and supply chain flexibility, and improves the dynamic capabilities and competitive advantages of enterprises to deal with uncertainty. This study focuses on the impact of logistics technology innovation on supply chain flexibility, and explores the mediating effect of supply chain collaboration in the relationship between logistics technology innovation and supply chain flexibility. Furthermore, this study also explores the moderating effect of firm size on above relationships. The empirical results show that logistics technology innovation is positively related to supply chain flexibility and supply chain collaboration mediates the relationship between logistics technology innovation and supply chain flexibility. The results also show that firm size moderates the relationship between logistics technology innovation and supply chain flexibility, and firm size moderates the mediation of supply chain collaboration. Specifically, the larger the firm size, the weaker the positive correlation between logistics technology innovation and supply chain flexibility. The larger the firm size, the weaker the positive correlation between logistics technology innovation and supply chain collaboration. The larger the firm size, the stronger the positive correlation between supply chain collaboration and supply chain flexibility.

Key words: logistics technology innovation, supply chain flexibility, supply chain collaboration, firm size

吴群, 唐亚辉, 李梦晓, 胡宇辰. 物流技术创新对供应链柔性的影响：一个有调节的中介模型[J]. 管理评论, 2020, 32(11): 270-281.

Wu Qun, Tang Yahui, Li Mengxiao, Hu Yuchen. The Impact of Logistics Technology Innovation on Supply Chain Flexibility： A Moderated Mediation Model[J]. Management Review, 2020, 32(11): 270-281.

参考文献

[1] Huo B., Gu M., Wang Z. Supply Chain Flexibility Concepts, Dimensions and Outcomes:An Organizational Capability Perspective[J]. International Journal of Production Research, 2018,56(17):5583-5903
[2] Sreedevi R., Saranga H. Uncertainty and Supply Chain Risk:The Moderating Role of Supply Chain Flexibility in Risk Mitigation[J]. International Journal of Production Economics, 2017,193(9):332-342
[3] Vickery S., Calantone R., Droge C. Supply Chain Flexibility:An Empirical Study[J]. Journal of Supply Chain Management, 1999,35(3):24-25
[4] Wang E. T. G., Wei H. L. Inter-organizational Governance Value Creation:Coordinating for Information Visibility and Flexibility in Supply Chains[J]. Decision Sciences, 2007,38(4):647-674
[5] 李新剑. 后技术赶超时期创新赶超模式研究——创新网络构建视角[J]. 科技进步与对策, 2019,36(21):26-34
[6] 杨守德. 技术创新驱动中国物流业跨越式高质量发展研究[J]. 中国流通经济, 2019,33(3):62-70
[7] 谢磊,马士华,桂华明. 供应物流协同与供应链敏捷性、绩效关系研究[J]. 科研管理, 2012,33(11):96-104
[8] 林伟滨,黄敬前. 关系嵌入在供应链柔性中的应用研究[J]. 物流工程与管理, 2015,37(10):67-69
[9] Damanpour F., Gopalakrishnan S. The Dynamics of the Adoption of Product and Process Innovations in Organizations[J]. Journal of Management Studies, 2010,38(1):45-65
[10] Gregory N., Noel P., William A. Firm Size and Dynamic Technological Innovation[J]. Technovation, 2002,22(9):537-549
[11] Malekifar S., Taghizadeh S. K., Rahman S. A., et al. Organizational Culture, IT Competence, and Supply Chain Agility in Small and Medium-Size Enterprises[J]. Global Business and Organizational Excellence, 2014,33(6):69-75
[12] 刘国巍. 物流技术创新对物流业的影响测度与路径分析——基于2000-2015年省际空间杜宾面板数据模型[J]. 中国流通经济, 2018,32(1):38-46
[13] 尹柳营. 软技术创新——我国企业技术创新的一个短期突破口[J]. 科学学研究, 1996,14(4):37-41
[14] 魏际刚. 物流技术的创新、选择和演进[J]. 中国流通经济, 2006,20(3):8-11
[15] Slack N. The Flexibility of Manufacturing Systems[J]. International Journal of Operations and Production Management, 2005,25(12):1190-1200
[16] 王海军,谭洁,王天雨. 供应链复原能力与供应链竞争力关系研究:基于动态能力的视角[J]. 管理评论, 2018,30(11):223-233
[17] 刘婷,钟芳偲. 基于知识共享与知识创新的供应链柔性研究[J]. 湘潭大学学报(哲学社会科学版), 2012,36(4):65-68
[18] Voudouris V. Mathematical Programming Techniques to Debottleneck the Supply Chain of the Chemical Industries[J]. Computers and Chemical Engineering, 1999,20(2):1269-1274
[19] Das S. K., Abdel-Malek L. Modeling the Flexibility of Order Quantities and Lead-Times in Supply Chains[J]. International Journal of Production Economics, 2003,85(2):171-181
[20] 李果,马士华. 分布式供应链节点企业物流能力柔性价值研究[J]. 管理科学, 2009,22(2):40-48
[21] Gosling J., Purvis L., Naim M. M. Supply Chain Flexibility as a Determinant of Supplier Selection[J]. International Journal of Production Economics, 2010,128(1):11-21
[22] Rojo A., Llorens-Montes J. Perez-Arostegui M. N. The Impact of Ambidexterity on Supply Chain Flexibility Fit[J]. Supply Chain Management:An International Journal, 2016,21(4):433-452
[23] 姚树俊,王基安,荆玉蕾. 基于供应链柔性能力的硬科技异质性对融资绩效影响研究[J]. 管理学刊, 2020,33(2):43-51
[24] Sabri E. H., Beamon B. M. A Multi-Objective Approach to Simultaneous Strategic and Operational Planning in Supply Chain Design[J]. The International Journal of Management Science, 2000,28(5):581-598
[25] Vokurka R. J., O'Leary-Kelly S. A Review of Manufacturing Flexibility Empirical Research[J]. Journal of Operations Management, 2000,18(4):485-501
[26] 孟军,张若云. 供应链柔性综合评价体系研究[J]. 中国管理信息化(综合版), 2007,114(9):56-59
[27] 张峰,任仕佳,殷秀清. 产业集聚、技术创新与绿色供应链效率——基于28家大中型钢铁企业面板数据的PVAR分析[J]. 中国科技论坛, 2020,36(4):51-64
[28] 李文茜,刘益. 技术创新、企业社会责任与企业竞争力——基于上市公司数据的实证分析[J]. 科学学与科学技术管理, 2017,38(1):154-165
[29] 刘义理. 基于知识的供应链柔性研究[J]. 科技进步与对策, 2008,25(11):16-18
[30] 焦豪,魏江,崔瑜. 企业动态能力构建路径分析:基于创业导向和组织学习的视角[J]. 管理世界, 2008, (4):91-106
[31] 李拓晨,乔琳,杨萍. 企业间信任对供应链企业组织即兴的影响机理研究——供应链柔性的中介作用与交互记忆系统的调节作用[J]. 南开管理评论, 2018,21(4):74-84
[32] 张红波. 不确定环境下我国物流企业技术创新的动因分析[J]. 决策咨询, 2012,23(6):31-35
[33] Duclos L. K., Vokurka R. J., Lummus R. R. A Conceptual Model of Supply Chain Flexibility[J]. Industrial Management & Data Systems, 2003,103(6):446-456
[34] 陆杉,高阳. 供应链的协同合作:基于商业生态系统的分析[J]. 管理世界, 2007,(5):160-161
[35] Simatupang T. M., Sridharan R. The Collaborative Supply Chain[J]. The International Journal of Logistics Management, 2002,13(1):15-30
[36] Stank T. P., Keller S. B., Daugherty P. J. Supply Chain Collaboration and Logistical Service Performance[J]. Journal of Business Logistics, 2001,22(1):29-48
[37] Manthou V., Vlachopoulou M., Folinas D. Virtual e-Chain (VeC) Model for Supply Chain Collaboration[J]. International Journal of Production Economics, 2004,87(3):241-250
[38] 马德青,胡劲松. 大数据营销与参考价格效应下的闭环供应链协同经营策略研究[J]. 软科学, 2019,33(11):98-106
[39] 王少凡,王向阳. 企业间供应链协同资源整合机理与共享路径研究[J]. 社会科学战线, 2020,43(3):259-263
[40] 丁莹莹,乔琳. 供应链协同对企业创新绩效的影响[J]. 统计与决策, 2020,36(5):169-172
[41] 葛亮,张翠华. 供应链协同技术与方法的发展[J]. 科学学与科学技术管理, 2005,26(6):151-154
[42] 张国军. 企业核心竞争力的构建与扩散:一种战略协同的过程[J]. 经济管理, 2001,23(20):26-31
[43] 徐建中,徐莹莹. 企业协同能力、网络位置与技术创新绩效——基于环渤海地区制造业企业的实证分析[J]. 管理评论, 2015,27(1):114-125
[44] 许芳,田萌,徐国虎. 大数据应用能力对企业创新绩效的影响研究——供应链协同的中介效应与战略匹配的调节效应[J]. 宏观经济研究, 2020,42(3):101-119
[45] 史会斌,杨东. 研发投入和双元创新的战略协同效应研究[J]. 技术经济与管理研究, 2019,40(12):16-20
[46] Cachon G. P., Lariviere M. A. Supply Chain Coordination with Revenue-sharing Contracts:Strengths and Limitations[J]. Management Science, 2005,51(1):30-44
[47] Arshinder, Kanda A., Deshmukh S. G. Supply Chain Coordination:Perspectives, Empirical Studies and Research Directions[J]. International Journal of Production Economics, 2008,115(2):316-335
[48] Karakitsiou A., Migdalas A. A Decentralized Coordination Mechanism for Integrated Production Transportation Inventory Problem in the Supply Chain Using Lagrangian Relaxation[J]. Operational Research, 2008,8(3):257-278
[49] Scholten K., Schilder S. The Role of Collaboration in Supply Chain Resilience[J]. Supply Chain Management:An International Journal, 2015,20(4):471-484
[50] Vereecke A., Muylle S. Performance Improvement through Supply Chain Collaboration in Europe[J]. International Journal of Operations & Production Management, 2006,26(11):1176-1198
[51] 汪新宇. 装备制造企业协同对供应链柔性的影响——基于上汽大众汽车有限公司的案例分析[J]. 经营与管理, 2016,34(11):29-32
[52] 陈文波,焦会玲,杜盛芳. IOS探索性应用、协同知识创造与供应链柔性——市场不确定性的调节作用[J]. 软科学, 2016,30(8):20-24
[53] 唐贵瑶,陈琳,陈扬. 高管人力资源管理承诺、绿色人力资源管理与企业绩效:企业规模的调节作用[J]. 南开管理评论, 2019,22(4):212-224
[54] 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
[55] 蔡绍洪,彭长生,俞立平. 企业规模对创新政策绩效的影响研究——以高技术产业为例[J]. 中国软科学, 2019,(9):37-50
[56] 郭京京,周丹,李强. 知识属性、技术学习惯例与企业创新绩效:规模的调节效应[J]. 科研管理, 2017,38(12):29-40
[57] Agarwal R., Gort M. Firm and Product Life Cycles and Firm Survival[J]. American Economic Review, 2002, 92(2):184-190
[58] Gibson J. K., Harris R. D. Trade Liberalisation and Establishment Exit in New Zealand Manufacturing[J]. The Review of Economic and Statistics, 1996,78(3):521-529
[59] 高凌云,屈小博,贾鹏. 中国工业企业规模与生产率的异质性[J]. 世界经济, 2014,37(6):113-137
[60] Simonen J., Me Cann P. Innovation, R&D Cooperation and Labor Recruitment:Evidence from Finland[J]. Small Business Economics, 2008,31(2):181-194
[61] 何文韬,黄宝磊. 产业动态视角下的企业规模分布与吉布莱特定律检验——基于战略性新兴产业与传统产业的对比分析[J]. 产业组织评论, 2019,13(1):144-164
[62] 袁建国,程晨,后青松. 环境不确定性与企业技术创新——基于中国上市公司的实证研究[J]. 管理评论, 2015,27(10):60-69
[63] 邹国平,刘洪德,王广益. 我国国有企业规模与研发强度相关性研究[J]. 管理评论, 2015,27(12):171-179
[64] Booyens I. Are Small, Medium-and Micro-sized Enterprises Engines of Innovation? The Reality in South Africa[J]. Science and Public Policy, 2011,38(1):67-78
[65] 姚福喜,吕江辉. 企业技术创新能力的衡量[J]. 经济问题, 2008,30(4):59-61
[66] Vickery S., Calantone R., Droge C. Supply Chain Flexibility:An Empirical Study[J]. Journal of Supply Chain Management, 2010,35(3):16-24
[67] Pan J., Tang X. Production Decision Model and Optimization of Flexible Supply Chain under Uncertain Demand[J]. Control and Decision-making, 2004,19(4):411-415
[68] Geisler, Eliezer. Industry-university Technology Cooperation:A Theory of Inter-organizational Relationships[J]. Technology Analysis and Strategic Management, 1995,7(2):217-229
[69] 何郁冰. 产学研协同创新的理论模式[J]. 科学学研究, 2012,30(2):165-174
[70] 李宇,张瑶. 制造业产业创新的企业规模门槛效应研究——基于门槛面板数据模型[J]. 宏观经济研究, 2014,36(11):96-106
[71] 温忠麟,黄彬彬,汤丹丹. 问卷数据建模前传[J]. 心理科学, 2018,41(1):204-210