Journal: Information Processing & Management
Authors: Yash Chawla , Agnieszka Radziwon, Laurent Scaringella, Ewa Lazarczyk Carlson, Marco Greco, Paulo Duarte Silveira, Eduardo Pestana de Aguiar, QingYang Shen, Markus Will, Anna Kowalska-Pyzalska
Abstract: This study explores how individuals obtain knowledge, perceive information sources, behave, and form opinions while facing a pandemic at an early stage. We develop a conceptual model linking the predictors of individuals’ knowledge with people’s behavior and opinions. The model is empirically tested through a large-scale global survey of 15,552 respondents from 126 nationalities. Our results indicate that relying on one source of information does not lead to favourable behavior towards curbing the pandemic. Furthermore, we need to educate people and control misinformation spread on policy and social network platforms to curb emergencies collectively. View Full-Text on Journal’s Webpage
Predictors and outcomes of individual knowledge on early-stage pandemic: Social media, information credibility, public opinion, and behaviour in a large-scale global studySpecial Acknowledgements:
We, the authors of this publication would like to acknowledge that this study was possible only due to the unconditional support that we received from several individuals. At the outset, we thank the thousands of respondents who gave their valuable time to respond to our survey during the early stages of the pandemic. We express our sincere gratitude to the following people who translated the survey into different languages, then verified the translated surveys, and also helped in dissemination of the survey questionnaire to collect responses, without any financial motive. Hozan Ibrahim (Arabic), Dr. Widayat, MM and Dr. Estu Widodo (Bhasha Indonesia), Monika Zlatkova (Bulgarian), Nanna Holmgaard Andersen (Danish), Prof. dr. Marjolein C.J. Caniëls (Dutch), Kamran Rashidi (Farsi-Persian), Kevin Jamir F. Pigao (Filipino-Tagalog), Lucía López Otal (French), Dafni Despoina Avgoustaki and Stefanos Nasiopoulos (Greek), Prof. Ajit Kumar Shukla and Vandana Teji (Hindi), Eva María Ingvadóttir (Icelandic), Michele di Magno (Italian), Seung-ha Baek (Korean), Valentin Sóti (Hungarian), Mrs. Roxana Adam and Mr. Cosmin Imbrișcă (Romanian), Dr. Andrey Nishkin (Russian), Dr. Mónica Cortiñas (Spanish), Nils Carlson (Swedish), Dr. Kwanruetai Boonyasana (Thai), Dr. Zeki Oralhan and Dr. Burcu Oralhan (Turkish), Alina Sokolova (Ukranian), Zeeshan Bhatti and Sania Naveed (Urdu), and Faheedah Bello (Yoruba). We also extend special thanks to Federal University of Juiz de Fora (Brazil), Yahayah Ibraheem Abiodun (Nigeria) and Latipun, PhD (Indonesia), for their support in data collection. We are grateful for the support received from the mïnd Area of Excellence and Agribusiness Area of Excellence of Rennes School of Business (RBS), and the research assistants from RBS: Juan Daniel Bolanos, Léna Gutierrez, Pierre Heno, Morgane Loquen, Melissa Pibarot, Alvaro Ruales, Chloé Seznec, and Léocadie Souche. We also express our sincere appreciation to Prof. Rafał Weron, Dr. Amjad Naveed, Dr Elyan Hill, and Anke Piepenbrink for their constructive feedback to our paper. We are also grateful to the participants of Science Meets Social Science (S3) seminar (Wrocław University of Science and Technology, Poland), mïnd Seminar (RBS, France), and the 81st Annual Meeting of the Academy of Management, for feedback and constructive discussion about this study. Last but not least, we extend our gratefulness to the editors and reviewers who have supported and guided us for improving the manuscript considerably. See Acknowledgements on Journal Webpage