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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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    1. Yuya Katafuchi & Kenichi Kurita & Shunsuke Managi, 2021. "COVID-19 with Stigma: Theory and Evidence from Mobility Data," Economics of Disasters and Climate Change, Springer, vol. 5(1), pages 71-95, April.
    2. Anand, Sudhir & Sen, Amartya, 2000. "Human Development and Economic Sustainability," World Development, Elsevier, vol. 28(12), pages 2029-2049, December.
    3. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Yin, Fa-Shing & Liu, Min-Ling & Lin, Chieh-Peng, 2015. "Forecasting the continuance intention of social networking sites: Assessing privacy risk and usefulness of technology," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 267-272.
    6. Kenichi Kurita & Shunsuke Managi, 2022. "COVID-19 and Stigma: Evolution of Self-restraint Behavior," Dynamic Games and Applications, Springer, vol. 12(1), pages 168-182, March.
    7. Archibugi, Daniele & Filippetti, Andrea & Frenz, Marion, 2013. "The impact of the economic crisis on innovation: Evidence from Europe," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1247-1260.
    8. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    9. Amory Martin & Maryia Markhvida & Stéphane Hallegatte & Brian Walsh, 2020. "Socio-Economic Impacts of COVID-19 on Household Consumption and Poverty," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 453-479, October.
    10. Mohammed Fadhil Dulaimi & Florence Ling & Arun Bajracharya, 2003. "Organizational motivation and inter-organizational interaction in construction innovation in Singapore," Construction Management and Economics, Taylor & Francis Journals, vol. 21(3), pages 307-318.
    11. Surender Kumar & Shunsuke Managi, 2020. "Does Stringency of Lockdown Affect Air Quality? Evidence from Indian Cities," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 481-502, October.
    12. Frank Montabon & Mark Pagell & Zhaohui Wu, 2016. "Making Sustainability Sustainable," Journal of Supply Chain Management, Institute for Supply Management, vol. 52(2), pages 11-27, April.
    13. Rey-Martí, Andrea & Ribeiro-Soriano, Domingo & Palacios-Marqués, Daniel, 2016. "A bibliometric analysis of social entrepreneurship," Journal of Business Research, Elsevier, vol. 69(5), pages 1651-1655.
    14. Nakamura, Hiroki & Managi, Shunsuke, 2020. "Airport risk of importation and exportation of the COVID-19 pandemic," Transport Policy, Elsevier, vol. 96(C), pages 40-47.
    15. Domingo Soriano & Salvador Dobon, 2009. "Linking globalization of entrepreneurship in small organizations," Small Business Economics, Springer, vol. 32(3), pages 233-239, March.
    16. Yoo, Sunbin & Managi, Shunsuke, 2020. "Global mortality benefits of COVID-19 action," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    17. Cohen, Michele & Jaffray, Jean-Yves & Said, Tanios, 1987. "Experimental comparison of individual behavior under risk and under uncertainty for gains and for losses," Organizational Behavior and Human Decision Processes, Elsevier, vol. 39(1), pages 1-22, February.
    18. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    19. Gavilan, Diana & Fernández-Lores, Susana & Martinez-Navarro, Gema, 2020. "Vividness of news push notifications and users’ response," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    20. Orkideh Gharehgozli & Peyman Nayebvali & Amir Gharehgozli & Zaman Zamanian, 2020. "Impact of COVID-19 on the Economic Output of the US Outbreak’s Epicenter," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 561-573, October.
    21. Camerer, Colin F, 1989. "An Experimental Test of Several Generalized Utility Theories," Journal of Risk and Uncertainty, Springer, vol. 2(1), pages 61-104, April.
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    4. Gupta, Parul & Prashar, Anupama & Giannakis, Mihalis & Dutot, Vincent & Dwivedi, Yogesh K., 2022. "How organizational socialization occurring in virtual setting unique: A longitudinal study of socialization," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    5. Akhter Shareef, Mahmud & Shakaib Akram, Muhammad & Tegwen Malik, F. & Kumar, Vinod & Dwivedi, Yogesh K. & Giannakis, Mihalis, 2023. "An attitude-behavioral model to understand people’s behavior towards tourism during COVID-19 pandemic," Journal of Business Research, Elsevier, vol. 161(C).
    6. 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).
    7. 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).
    8. 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.
    9. 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).

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