Linking digital transformation with supply chain intelligence integration and carbon performance: does business model innovation matter?

被引:2
作者
Kong, Ting [1 ]
Feng, Taiwen [2 ]
机构
[1] Univ Shanghai Sci & Technol, Business Sch, Shanghai, Peoples R China
[2] Harbin Inst Technol Weihai, Sch Econ & Management, Weihai, Peoples R China
基金
中国国家自然科学基金;
关键词
Digital transformation; Carbon performance; Supply chain intelligence integration; Business model innovation; DYNAMIC CAPABILITIES; MANAGEMENT; STRATEGY; FRAMEWORK; PRODUCT; ROLES;
D O I
10.1108/BPMJ-09-2023-0682
中图分类号
F [经济];
学科分类号
02 ;
摘要
PurposeCompanies are actively pursuing digital transformation to achieve sustainable development; however, how digital transformation can help manufacturing firms improve carbon performance remains unclear. Based on an integrated perspective of dynamic capability theory and practice-based view, this study examines the relationship between digital transformation and carbon performance by exploring the mediating effect of supply chain intelligence integration and the moderating role of business model innovation.Design/methodology/approachUsing data collected from 297 manufacturing firms in China, this study employs hierarchical regression analysis to test the research hypotheses.FindingsThe findings demonstrated a significant positive association between digital transformation and carbon performance, and this relationship is mediated by all three dimensions of supply chain intelligence integration. Furthermore, business model innovation negatively moderates the relationships between digital transformation and both supplier intelligence integration and competitor intelligence integration.Originality/valueThe study provides empirical evidence that manufacturing firms can achieve greater benefits from digital transformation by aligning it with business model innovation and systematically promoting supply chain intelligence integration.
引用
收藏
页码:1274 / 1305
页数:32
相关论文
共 73 条
[1]  
[Anonymous], 2018, Unlocking success in digital transformations
[2]   ESTIMATING NONRESPONSE BIAS IN MAIL SURVEYS [J].
ARMSTRONG, JS ;
OVERTON, TS .
JOURNAL OF MARKETING RESEARCH, 1977, 14 (03) :396-402
[3]   Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development [J].
Bag, Surajit ;
Gupta, Shivam ;
Kumar, Sameer .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2021, 231
[4]   Analyzing the mediating role of organizational ambidexterity and digital business transformation on industry 4.0 capabilities and sustainable supply chain performance [J].
Belhadi, Amine ;
Kamble, Sachin ;
Gunasekaran, Angappa ;
Mani, Venkatesh .
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2022, 27 (06) :696-711
[5]   DIGITAL BUSINESS STRATEGY: TOWARD A NEXT GENERATION OF INSIGHTS [J].
Bharadwaj, Anandhi ;
El Sawy, Omar A. ;
Pavlou, Paul A. ;
Venkatraman, N. .
MIS QUARTERLY, 2013, 37 (02) :471-482
[6]   Drivers, Practices and Outcomes of Low-carbon Operations: Approaches of German Automotive Suppliers to Cutting Carbon Emissions [J].
Boettcher, Christian Felix ;
Mueller, Martin .
BUSINESS STRATEGY AND THE ENVIRONMENT, 2015, 24 (06) :477-498
[7]   Operations management and the resource based view: Another view [J].
Bromiley, Philip ;
Rau, Devaki .
JOURNAL OF OPERATIONS MANAGEMENT, 2016, 41 :95-106
[8]   How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity [J].
Cenamor, Javier ;
Parida, Vinit ;
Wincent, Joakim .
JOURNAL OF BUSINESS RESEARCH, 2019, 100 :196-206
[9]   Business model design and mass customization capability: is supply chain integration a missing link? [J].
Cheng, Jia ;
Zhao, Songzheng ;
Feng, Taiwen ;
Sheng, Hongyan .
BUSINESS PROCESS MANAGEMENT JOURNAL, 2022, 28 (04) :1183-1206
[10]   Environmental Factors in Operations Management: The Impact of Air Quality on Product Demand [J].
Ding, Ying ;
Tu, Yanping ;
Pu, Jingchuan ;
Qiu, Liangfei .
PRODUCTION AND OPERATIONS MANAGEMENT, 2021, 30 (09) :2910-2924