Supply chain integration and novelty-centered business model design: An organizational learning perspective

被引:23
作者
Feng, Taiwen [1 ]
Yang, Shan [1 ]
Sheng, Hongyan [2 ]
机构
[1] Harbin Inst Technol Weihai, Sch Econ & Management, Weihai 264209, Peoples R China
[2] Harbin Inst Technol, Sch Management, Harbin, Peoples R China
基金
中国国家自然科学基金;
关键词
Novelty-centered business model design; (NBMD); Supply chain integration (SCI); Big data analytics skills; Inter-organizational learning; STRUCTURAL EQUATION MODELS; BIG DATA; ABSORPTIVE-CAPACITY; MARKET ORIENTATION; KNOWLEDGE TRANSFER; PERFORMANCE; MANAGEMENT; INNOVATION; ANTECEDENTS; CREATION;
D O I
10.1016/j.emj.2022.12.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Although novelty-centered business model design (NBMD) has attracted much attention, how it is affected by supply chain integration (SCI) is still inconclusive. Based on organizational learning theory, this study investigates how three dimensions of SCI (i.e., information integration, operational integration, and relational integration) affect NBMD via inter-organizational learning and the moderating role of big data analytics skills. We test hypotheses by utilizing survey data from 277 Chinese manufacturing firms. Our results indicate that both information integration and operational integration have positive impacts on NBMD. In addition, interorganizational learning partially mediates the impacts of information integration and operational integration on NBMD. Our research also reveals that big data analytics skills strengthen the positive impact of relational integration on inter-organizational learning. This study provides theoretical and managerial insights for NBMD.
引用
收藏
页码:414 / 424
页数:11
相关论文
共 83 条
[1]  
Aiken L. S., 1991, MULTIPLE REGRESSION
[2]   CRAFTING BUSINESS ARCHITECTURE: THE ANTECEDENTS OF BUSINESS MODEL DESIGN [J].
Amit, Raphael ;
Zott, Christoph .
STRATEGIC ENTREPRENEURSHIP JOURNAL, 2015, 9 (04) :331-350
[3]  
Amit R, 2012, MIT SLOAN MANAGE REV, V53, P41
[4]   NAVREN-RL: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images [J].
Anwar, Malik Aqeel ;
Raychowdhury, Arijit .
PROCEEDINGS OF THE 2018 25TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP), 2018, :1-6
[5]  
Argyris C., 1978, ORG LEARNING THEORY
[6]   Inter-personal and inter-organizational trust in business relationships: An attitude-behavior-outcome model [J].
Ashnai, Bahar ;
Henneberg, Stephan C. ;
Naude, Peter ;
Francescucci, Anthony .
INDUSTRIAL MARKETING MANAGEMENT, 2016, 52 :128-139
[7]   Supplier innovativeness, organizational learning styles and manufacturer performance: An empirical assessment [J].
Azadegan, Arash ;
Dooley, Kevin J. .
JOURNAL OF OPERATIONS MANAGEMENT, 2010, 28 (06) :488-505
[8]   Big data analytics as an operational excellence approach to enhance sustainable supply chain performance [J].
Bag, Surajit ;
Wood, Lincoln C. ;
Xu, Lei ;
Dhamija, Pavitra ;
Kayikci, Yasanur .
RESOURCES CONSERVATION AND RECYCLING, 2020, 153
[9]   Lean Startup and the business model: Experimenting for novelty and impact [J].
Bocken, Nancy ;
Snihur, Yuliya .
LONG RANGE PLANNING, 2020, 53 (04)
[10]  
Boland R., 2004, MANAGING DESIGNING