Evidence map›Paper›PMID 36536773›Full record

ArticleTechnological forecasting and social change2021

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

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

Abstract read
In one paragraph

Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Social-economic impacts of epidemic diseases.Technological forecasting and social change · 2022
    Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mahmud A ShareefSchool of Business & Economics, North South University, Dhaka, Bangladesh.
Yogesh K DwivediEmerging Markets Research Centre (EMaRC), School of Management, Swansea University Bay Campus, Fabian Way, Swansea, SA1 8EN, United Kingdom.
Angela WrightDepartment of OPD, School of Business, Cork Institute of Technology, Ireland.
Vinod KumarSprott School of Business, Carleton University, Ottawa, Canada.
Sujeet K SharmaInformation Systems & Analytics Area, Indian Institute of Management Tiruchirappalli, India.
Nripendra P RanaSchool of Management, University of Bradford, Richmond Road, Bradford, BD7 1DP, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Human behaviorLockdownSocial crisisSocial isolationSocial psychologySustainability

Identifiers

PMID36536773
PMCPMC9753930

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.