Optimizing firm's supply chain resilience in data-driven business environment

被引:23
|
作者
Gani, Mohammad Osman [1 ,2 ]
Yoshi, Takahashi [1 ]
Rahman, Muhammad Sabbir [3 ]
机构
[1] Hiroshima Univ, Grad Sch Humanities & Social Sci, Higashihiroshima, Japan
[2] Bangladesh Univ Professionals, Fac Business Studies, Dept Mkt, Dhaka, Bangladesh
[3] North South Univ, Dept Mkt & Int Business, Dhaka, Bangladesh
关键词
Supply chain resilience; Sustainable supply chain performance; COVID-19; Leadership capability; IT capability; Collaboration capability; DYNAMIC-CAPABILITIES; BIG DATA; PLS-SEM; PREDICTIVE ANALYTICS; MANAGEMENT-PRACTICES; EMPIRICAL-EVIDENCE; PERFORMANCE; AGILITY; PERSPECTIVE; IMPACT;
D O I
10.1108/JGOSS-02-2022-0013
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose This study aims to investigate the impact of a firm's supply chain capabilities on supply chain resilience, and the impact of supply chain resilience on sustainable supply chain performance in a data-driven business environment. The study also aims to explore the function of supply chain resilience in mediating the relationship between a firm's supply chain capability and sustainable supply chain performance. Design/methodology/approach Primary data were acquired through a survey of 310 managers of small- and medium-sized businesses in a variety of industries across Bangladesh. The data were analyzed using partial least squares structural equation modeling. Findings A firm's supply chain capabilities include information technology, leadership and collaboration. Supply chain capability is positively associated with supply chain resilience. The resilience of a firm's supply chain is also positively correlated with its sustainable supply chain performance. Supply chain resilience plays a mediating role in the relationship between a firm's supply chain capabilities and its sustainable supply chain performance. Research limitations/implications This study provides a theoretical contribution by corroborating practical knowledge focusing on firms' supply chain capability, supply chain resilience and sustainable supply chain performance by using a resource-based view and dynamic capability theory - a relevant and unexplored subject in the supply chain literature - and proposes several opportunities for future research. Practical implications The results highlight the study's managerial and social relevance from the perspective of firms in developing countries. As firms shift toward an online environment, managers and decision-makers need to make strategic decisions, as they did to overcome the challenges presented by COVID-19. Originality/value The study's findings demonstrate that firms' supply chain capabilities can be leveraged to increase supply chain resilience. Firms' resilience during COVID-19 allowed them to avoid losses and to improve their supply chain's sustainable performance. To the best of the authors' knowledge, their complex higher order model is a unique contribution to the literature on firms' supply chain capability and extends previous research on this topic.
引用
收藏
页码:258 / 281
页数:24
相关论文
共 50 条
  • [42] Firm innovation and supply chain resilience: a dynamic capability perspective
    Sabahi, Sima
    Parast, Mahour M.
    INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2020, 23 (03) : 254 - 269
  • [43] Data-driven business process similarity
    Amiri, Mohammad Javad
    Koupaee, Mahnaz
    IET SOFTWARE, 2017, 11 (06) : 309 - 318
  • [44] Data-Driven Business Model Innovation
    Sorescu, Alina
    JOURNAL OF PRODUCT INNOVATION MANAGEMENT, 2017, 34 (05) : 691 - 696
  • [45] Data-driven digital transformation for supply chain carbon neutrality: Insights from cross-sector supply chain
    Belhadi, Amine
    Venkatesh, Mani
    Kamble, Sachin
    Abedin, Mohammad Zoynul
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2024, 270
  • [46] Data-driven approach for port resilience evaluation
    Gu, Bingmei
    Liu, Jiaguo
    Ye, Xiaoheng
    Gong, Yu
    Chen, Jihong
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2024, 186
  • [47] Data-driven analysis of resilience in airline networks
    Wong, Allen
    Tan, Sijian
    Chandramouleeswaran, Keshav Ram
    Tran, Huy T.
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2020, 143
  • [48] Data-driven resilience analysis of power grids
    Qicong Sun
    Yan Li
    Jason Philhower
    Global Energy Interconnection, 2021, 4 (01) : 104 - 114
  • [49] Data-driven resilience analysis of power grids
    Sun, Qicong
    Li, Yan
    Philhower, Jason
    GLOBAL ENERGY INTERCONNECTION-CHINA, 2021, 4 (01): : 104 - 114
  • [50] Data-Driven Community Flood Resilience Prediction
    Abdel-Mooty, Moustafa Naiem
    El-Dakhakhni, Wael
    Coulibaly, Paulin
    WATER, 2022, 14 (13)