Decoupling Institutional Pressure on Green Supply Chain Management Efforts to Boost Organizational Performance: Moderating Impact of Big Data Analytics Capabilities

被引:26
|
作者
Shahzad, Fakhar [1 ]
Du, Jianguo [1 ]
Khan, Imran [2 ]
Wang, Jian [3 ]
机构
[1] Jiangsu Univ, Sch Management, Zhenjiang, Peoples R China
[2] Islamia Univ Bahawalpur, Dept Management Sci, Bahawalnagar, Pakistan
[3] Zhengzhou Univ Light Ind, Coll Econ & Management, Zhengzhou, Peoples R China
基金
美国国家科学基金会;
关键词
institutional pressure; technology innovation; GSCM; BDAC; SEM; RESOURCE-BASED VIEW; ENVIRONMENTAL PERFORMANCE; FIRM PERFORMANCE; PLS-SEM; ADOPTION; INTEGRATION; MODELS; SUSTAINABILITY; PERSPECTIVE; INNOVATION;
D O I
10.3389/fenvs.2022.911392
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper aims to empirically examine the impact of institutional pressure on green supply chain management (GSCM) efforts and the moderating role of big data analytics capabilities (BDAC) on organizational performance. This study greatly develops a research model by integrating institutional theory, the natural resource-based view (NRBV), and dynamic capability theory to explore this relationship. This article is based on structured questionnaire data of 347 supply chain personnel. We employed structural equation modeling to verify the research hypotheses. The findings provide empirical support for institutional pressures affecting GSCM efforts and organizational performance. The results also showed that the moderating effect of BDAC positively strengthened the impact of GSCM effort on organizational performance. The findings extend and refine the existing GSCM literature, providing new insights for scholars to explore this view further. Practitioners can turn their attention to incorporating institutional pressures and advanced technologies into organizational decision-making, even in times of crisis such as Covid-19.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Green supply chain management and organizational performance
    Lee, Sang M.
    Kim, Sung Tae
    Choi, Donghyun
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2012, 112 (8-9) : 1148 - 1180
  • [42] The role of big data analytics in enabling green supply chain management: a literature review
    Jia Liu
    Meng Chen
    Hefu Liu
    Journal of Data, Information and Management, 2020, 2 (2): : 75 - 83
  • [43] Retraction Note: Post-COVID-19’s impact on green supply chain management and sustainable E-commerce performance: the moderating role of big data analytics
    Fazila Jalil
    Jianhua Yang
    Shafique Ur Rehman
    Muhammad Mohid Khan
    Environmental Science and Pollution Research, 2024, 31 (48) : 58633 - 58633
  • [44] The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance
    Benzidia, Smail
    Makaoui, Naouel
    Bentahar, Omar
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 165
  • [45] The influence of big data analytics management capabilities on supply chain preparedness, alertness and agility An empirical investigation
    Mandal, Santanu
    INFORMATION TECHNOLOGY & PEOPLE, 2019, 32 (02) : 297 - 318
  • [46] Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice
    Arunachalam, Deepak
    Kumar, Niraj
    Kawalek, John Paul
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 114 : 416 - 436
  • [47] Big Data Analytics in Supply Chain Management: A Qualitative Study
    Aljabhan, Basim
    Abeyie, Melese
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [48] The Impact of Big Data on Supply Chain Resilience: the Moderating Effect of Supply Chain Complexity
    Zhang, Xuan
    Zhao, Jun
    PROCEEDINGS OF EIGHTEENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, 2019, : 479 - 486
  • [49] Big data and predictive analytics applications in supply chain management
    Gunasekaran, Angappa
    Tiwari, Manoj Kumar
    Dubey, Rameshwar
    Wamba, Samuel Fosso
    COMPUTERS & INDUSTRIAL ENGINEERING, 2016, 101 : 525 - 527
  • [50] Big data analytics and application for logistics and supply chain management
    Govindan, Kannan
    Cheng, T. C. E.
    Mishra, Nishikant
    Shukla, Nagesh
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2018, 114 : 343 - 349