Literature DB >> 36266321

Do open data impact citizens' behavior? Assessing face mask panic buying behaviors during the Covid-19 pandemic.

Yuya Shibuya1, Chun-Ming Lai2, Andrea Hamm3, Soichiro Takagi4, Yoshihide Sekimoto5.   

Abstract

Data are essential for digital solutions and supporting citizens' everyday behavior. Open data initiatives have expanded worldwide in the last decades, yet investigating the actual usage of open data and evaluating their impacts are insufficient. Thus, in this paper, we examine an exemplary use case of open data during the early stage of the Covid-19 pandemic and assess its impacts on citizens. Based on quasi-experimental methods, the study found that publishing local stores' real-time face mask stock levels as open data may have influenced people's purchase behaviors. Results indicate a reduced panic buying behavior as a consequence of the openly accessible information in the form of an online mask map. Furthermore, the results also suggested that such open-data-based countermeasures did not equally impact every citizen and rather varied among socioeconomic conditions, in particular the education level.
© 2022. The Author(s).

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Year:  2022        PMID: 36266321      PMCID: PMC9584957          DOI: 10.1038/s41598-022-22471-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  10 in total

1.  Increase in suicide following an initial decline during the COVID-19 pandemic in Japan.

Authors:  Takanao Tanaka; Shohei Okamoto
Journal:  Nat Hum Behav       Date:  2021-01-15

2.  Short- and medium-term impacts of strict anti-contagion policies on non-COVID-19 mortality in China.

Authors:  Jinlei Qi; Dandan Zhang; Xiang Zhang; Tanakao Takana; Yuhang Pan; Peng Yin; Jiangmei Liu; Shuocen Liu; George F Gao; Guojun He; Maigeng Zhou
Journal:  Nat Hum Behav       Date:  2021-11-29

3.  Impact of the digital divide in the age of COVID-19.

Authors:  Anita Ramsetty; Cristin Adams
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

4.  Solar photovoltaic interventions have reduced rural poverty in China.

Authors:  Huiming Zhang; Kai Wu; Yueming Qiu; Gabriel Chan; Shouyang Wang; Dequn Zhou; Xianqiang Ren
Journal:  Nat Commun       Date:  2020-04-23       Impact factor: 14.919

5.  Working from home and income inequality: risks of a 'new normal' with COVID-19.

Authors:  Luca Bonacini; Giovanni Gallo; Sergio Scicchitano
Journal:  J Popul Econ       Date:  2020-09-12

6.  Where to buy face masks? Survey of applications using Taiwan's open data in the time of coronavirus disease 2019.

Authors:  Eunice J Yuan; Chia-An Hsu; Wui-Chiang Lee; Tzeng-Ji Chen; Li-Fang Chou; Shinn-Jang Hwang
Journal:  J Chin Med Assoc       Date:  2020-06       Impact factor: 2.743

7.  Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan.

Authors:  Masahiro Shoji; Asei Ito; Susumu Cato; Takashi Iida; Kenji Ishida; Hiroto Katsumata; Kenneth Mori McElwain
Journal:  JMIR Mhealth Uhealth       Date:  2021-08-19       Impact factor: 4.947

8.  Psychological underpinning of panic buying during pandemic (COVID-19).

Authors:  S M Yasir Arafat; Sujita Kumar Kar; Marthoenis Marthoenis; Pawan Sharma; Ehsanul Hoque Apu; Russell Kabir
Journal:  Psychiatry Res       Date:  2020-05-06       Impact factor: 11.225

  10 in total

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