The role of advanced technologies and supply chain collaboration: during COVID-19 on sustainable supply chain performance

被引:6
作者
Javed, Asma [1 ]
Basit, Abdul [1 ]
Ejaz, Faisal [2 ]
Hameed, Ayesha [3 ]
Fodor, Zita Julia [4 ]
Hossain, Md Billal [5 ]
机构
[1] Changan Univ, Sch Econ & Management, Xian, Peoples R China
[2] Minhaj Univ, Sch Int Relat, Lahore, Pakistan
[3] Inst Business Management, Karachi, Pakistan
[4] Hungarian Univ Agr & Life Sci, Inst Econ Sci, H-2100 Godollo, Hungary
[5] Westminster Int Univ Tashkent, Sch Business & Econ, Business Management & Mkt Dept, Tashkent 100047, Uzbekistan
来源
DISCOVER SUSTAINABILITY | 2024年 / 5卷 / 01期
关键词
STRUCTURAL EQUATION MODELS; BIG DATA ANALYTICS; ARTIFICIAL-INTELLIGENCE; VIRTUAL COMMUNITIES; CIRCULAR ECONOMY; BLOCKCHAIN; MANAGEMENT; RESILIENCE; DRIVERS; IMPACT;
D O I
10.1007/s43621-024-00228-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The coronavirus has created significant disruptions and exposed supply chain (SC) vulnerabilities. This crisis started a discussion about SC sustainability and performance. Therefore, the implementation of advanced technologies and supply chain collaboration could mitigate this disruption with the help of government support and policies. Considering this situation, this paper examines how COVID-19 influences advanced technologies (Artificial Intelligence, the Internet of Things, Blockchain, Digital twins, and Big Data Analytics) and supply chain collaboration (SCC) with a moderating role of government support and policies (GSP) in Pakistan. The study encompasses a comprehensive assessment carried out via structural equation modeling and data collected from Pakistani companies engaged in SCM or those operating within the SC divisions of manufacturing enterprises. According to the empirical findings, it is evident that COVID-19 outbreaks have a significant influence on SSCP; However, they do not show a similar impact on advanced technologies (AI, IoT, Blockchain, DT, and BDA) and supply chain collaboration, the influence of COVID-19 on SSCP was effectively mediated through advance technologies (AI, IoT, Blockchain, DT, and BDA) and supply chain collaboration. This research contributes to the existing literature on SSCP by emphasizing the importance of the resource-based view, dynamic capability view, and institutional theories. SC and logistics managers can apply the theoretical framework proposed in this study to mitigate the impact of the COVID-19 epidemic or disruptions in logistics and SC operations, thereby improving profitability in the context of an epidemic.
引用
收藏
页数:20
相关论文
共 138 条
[1]  
Adejare B.O., 2022, Athens J. Bus. Econ, V8, P239, DOI [10.30958/ajbe.8-3-3, DOI 10.30958/AJBE.8-3-3]
[2]  
Adejare BO., 2021, Athens Journal of Business Economics, V7, P1
[3]   Blockchain-Based Forward Supply Chain and Waste Management for COVID-19 Medical Equipment and Supplies [J].
Ahmad, Raja Wasim ;
Salah, Khaled ;
Jayaraman, Raja ;
Yaqoob, Ibrar ;
Omar, Mohammed ;
Ellahham, Samer .
IEEE ACCESS, 2021, 9 :44905-44927
[4]   Managing Stakeholder Pressure for Megaproject Success and Green Innovation: The Key Role of Social Responsibility [J].
Ali, Azhar ;
Ma, Li ;
Shahzad, Mohsin ;
Hussain, Shahid .
ENGINEERING MANAGEMENT JOURNAL, 2024, 36 (04) :366-377
[5]   How various stakeholder pressure influences mega-project sustainable performance through corporate social responsibility and green competitive advantage [J].
Ali, Azhar ;
Ma, Li ;
Shahzad, Mohsin ;
Musonda, Jonathan ;
Hussain, Shahid .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (47) :67244-67258
[6]  
Alkahtani A., 2020, J. Innov. Entrep., V9, P1, DOI DOI 10.1186/S13731-020-00127-3
[7]  
Alsharidah YMY, 2020, 2020 INT C DAT AN BU
[8]   Agility and resilience as antecedents of supply chain performance under moderating effects of organizational culture within the humanitarian setting: a dynamic capability view [J].
Altay, Nezih ;
Gunasekaran, Angappa ;
Dubey, Rameshwar ;
Childe, Stephen J. .
PRODUCTION PLANNING & CONTROL, 2018, 29 (14) :1158-1174
[9]  
[Anonymous], 2020, FORTUNE
[10]   Role of Analytics for Operational Risk Management in the Era of Big Data [J].
Araz, Ozgur M. ;
Choi, Tsan-Ming ;
Olson, David L. ;
Salman, F. Sibel .
DECISION SCIENCES, 2020, 51 (06) :1320-1346