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Lockdown and sustainability: An effective model of information and communication technology

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  • Shareef, Mahmud A.
  • Dwivedi, Yogesh K.
  • Wright, Angela
  • Kumar, Vinod
  • Sharma, Sujeet K.
  • Rana, Nripendra P

Abstract

Covid-19, a corona virus, has maintained its momentum in spreading among communities. In this context of social crisis, this study seeks to identify the reasons for the partial failure to fulfill the intended goal of lockdown, and to formulate an inclusive behavioral model reflecting comprehensive human behavior and social psychology. In order to answer the research questions, this study has conducted extensive interviews among individuals who were targets of the lockdown system. From this exploratory and qualitative investigation, researchers have recognized four paradigms as the key to understanding human behavior and social psychology in violating lockdown as a social isolation system during this period of crisis. The identified parameters depicting social behavior are: Derogation and Argument (SDA), Tangible Need and Deficiency (TND), Intangible Desire and Expectancy (IDE), and Evaluation of Benefit and Loss (UBL). Finally, as a comprehensive guideline, a grounded theory of the social behavior ‘paradigm for lockdown violation (PLV)’ is explored as the reason for the violation of the social system.

Suggested Citation

  • Shareef, Mahmud A. & Dwivedi, Yogesh K. & Wright, Angela & Kumar, Vinod & Sharma, Sujeet K. & Rana, Nripendra P, 2021. "Lockdown and sustainability: An effective model of information and communication technology," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    • Handle: RePEc:eee:tefoso:v:165:y:2021:i:c:s0040162520313573
    DOI: 10.1016/j.techfore.2020.120531
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    Cited by:

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    3. Dwivedi, Yogesh K & Shareef, Mahmud A & Akram, Muhammad S & Bhatti, Zeeshan A & Rana, Nripendra P, 2022. "Examining the effects of enterprise social media on operational and social performance during environmental disruption," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Gandhi, Mohina & Kar, Arpan Kumar, 2022. "How do Fortune firms build a social presence on social media platforms? Insights from multi-modal analytics," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    5. Shareef, Mahmud Akhter & Das, Ronnie & Ahmed, Jashim Uddin & Mishra, Anubhav & Sultana, Ishrat & Rahman, Mehe Z. & Mukerji, Bhasker, 2024. "Mandatory adoption of technology: Can UTAUT2 model capture managers behavioral intention?," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril & Papadopoulos, Thanos, 2023. "Dynamic digital capabilities and supply chain resilience: The role of government effectiveness," International Journal of Production Economics, Elsevier, vol. 258(C).
    7. Kalgotra, Pankush & Gupta, Ashish & Sharda, Ramesh, 2021. "Pandemic information support lifecycle: Evidence from the evolution of mobile apps during COVID-19," Journal of Business Research, Elsevier, vol. 134(C), pages 540-559.
    8. Higueras-Castillo, Elena & Liébana-Cabanillas, Francisco J. & Villarejo-Ramos, Ángel F., 2023. "Intention to use e-commerce vs physical shopping. Difference between consumers in the post-COVID era," Journal of Business Research, Elsevier, vol. 157(C).
    9. Sun, Ying & Leng, Ke & Xiong, Haitao, 2022. "Research on the influencing factors of consumers’ green purchase behavior in the post-pandemic era," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
    10. Modgil, Sachin & Dwivedi, Yogesh K. & Rana, Nripendra P. & Gupta, Shivam & Kamble, Sachin, 2022. "Has Covid-19 accelerated opportunities for digital entrepreneurship? An Indian perspective," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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