Consumer behavior in the shadow of COVID-19 and mental health: A bibliometric analysis of international scientific literature in Web of Science and Scopus

Hasan Kazak, Abdullah Kilicarslan, Mustafa Cihan Yarali, Osman Okka

Article ID: 8269
Vol 8, Issue 10, 2024

VIEWS - 1057 (Abstract)

Abstract


The aim of this study was to make a quantitative contribution to the impact of COVID-19 and Mental on consumer behavior. For this purpose, the data in the Scopus and WoS databases until 5 February 2024 were examined using bibliometric analysis. The data obtained within the scope of this study were classified and analyzed using the VOSviewer program developed for scientific mapping analysis. In the evaluations, 180 studies in the Web of Science database and 371 documents in the Scopus database were identified, and when duplicate studies were combined, 426 studies were included in the analysis. According to the results of the analysis, the journal with the highest number of publications is “Journal of Retailing and Consumer Services”; the organization with the highest number of publications is “Department of management sciences, University of Okara” and “North-West University”; the authors with the highest number of publications and citations are “Wang, Xueqin” and “Yuen, Kum Fai”; and the most cited studies are “Laato et al.” and “Goolsbee and Syverson”. This study provides a comprehensive analysis of the studies on the impact of COVID-19 and mental factors on consumer behavior and makes a qualified contribution to the literature with an important opening.


Keywords


COVID-19; mental health; bibliometric analysis; document analysis

Full Text:

PDF


References


Aebli, A., Volgger, M., & Taplin, R. (2021). A two-dimensional approach to travel motivation in the context of the COVID-19 pandemic. Current Issues in Tourism, 25(1), 60–75. https://doi.org/10.1080/13683500.2021.1906631 Akhtar, N., Nadeem Akhtar, M., Usman, M., et al. (2020). COVID-19 restrictions and consumers’ psychological reactance toward offline shopping freedom restoration. The Service Industries Journal, 40(13–14), 891–913. https://doi.org/10.1080/02642069.2020.1790535 Alaimo, L. S., Fiore, M., & Galati, A. (2020). How the COVID-19 Pandemic Is Changing Online Food Shopping Human Behaviour in Italy. Sustainability, 12(22), 9594. https://doi.org/10.3390/su12229594 Aljanabi, A. R. A. (2021). The impact of economic policy uncertainty, news framing and information overload on panic buying behavior in the time of COVID-19: a conceptual exploration. International Journal of Emerging Markets, 18(7), 1614–1631. https://doi.org/10.1108/ijoem-10-2020-1181 Bentall, R. P., Lloyd, A., Bennett, K., et al. (2021). Pandemic buying: Testing a psychological model of over-purchasing and panic buying using data from the United Kingdom and the Republic of Ireland during the early phase of the COVID-19 pandemic. PLOS ONE, 16(1), e0246339. https://doi.org/10.1371/journal.pone.0246339 Berezka, S., Rebiazina, V., & Muravskaia, S. (2021). Changes in consumer behavior in the BRICS countries during the COVID-19 pandemic: The role of trust and anxiety. BRICS Journal of Economics, 2(1), 53–73. https://doi.org/10.38050/2712-7508-2021-29 Billore, S., & Anisimova, T. (2021). Panic buying research: A systematic literature review and future research agenda. International Journal of Consumer Studies, 45(4), 777–804. https://doi.org/10.1111/ijcs.12669 Bowen, G. A. (2009). Document Analysis as a Qualitative Research Method. Qualitative Research Journal, 9(2), 27–40. https://doi.org/10.3316/qrj0902027 Callon, M., Courtial, J.-P., Turner, W. A., et al. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235. https://doi.org/10.1177/053901883022002003 Candiotto, L. (2022). Extended loneliness. When hyperconnectivity makes us feel alone. Ethics and Information Technology, 24(4). https://doi.org/10.1007/s10676-022-09669-4 Cardador, J. J. O., Pérez‐Gálvez, J. C., Gomez‐Casero, G., et al. (2023). Tourist ethnocentrism: A bibliometric analysis based on Web of Science (WoS). Family and Consumer Sciences Research Journal, 52(1), 38–52. https://doi.org/10.1111/fcsr.12488 Cruz-Cárdenas, J., Zabelina, E., Guadalupe-Lanas, J., et al. (2021). COVID-19, consumer behavior, technology, and society: A literature review and bibliometric analysis. Technological Forecasting and Social Change, 173, 121179. https://doi.org/10.1016/j.techfore.2021.121179 Dalglish, S. L., Khalid, H., & McMahon, S. A. (2020). Document analysis in health policy research: the READ approach. Health Policy and Planning, 35(10), 1424–1431. https://doi.org/10.1093/heapol/czaa064 Dash, G. (2023). A Bibliometric Analysis of Panic-Buying Behavior during a Pandemic: Insights from COVID-19 and Recommendations. Sustainability, 15(2), 1352. https://doi.org/10.3390/su15021352 de Oliveira, O. J., da Silva, F. F., Juliani, F., et al. (2019). Bibliometric Method for Mapping the State-of-the-Art and Identifying Research Gaps and Trends in Literature: An Essential Instrument to Support the Development of Scientific Projects. Available online: https://www.intechopen.com/chapters/69867 (accessed on 3 May 2024). Di Crosta, A., Ceccato, I., Marchetti, D., et al. (2021). Psychological factors and consumer behavior during the COVID-19 pandemic. PLOS ONE, 16(8), e0256095. https://doi.org/10.1371/journal.pone.0256095 Di Maria, E., Simoni, M., Pedeliento, G., et al. (2021). The long COVID effect in marketing and consumer research. Italian Journal of Marketing, 2021(4), 297–303. https://doi.org/10.1007/s43039-021-00041-w Do Bú, E. A., Alexandre, M. E. S. de, Bezerra, V. A. dos S., SÁ-Serafım, R. C. da N., et al. (2020). Representations and social anchoring of the novel coronavirus and COVID-19 treatment by Brazilians (Portuguese). Estudos de Psicologia (Campinas), 37. https://doi.org/10.1590/1982-0275202037e200073 Donthu, N., Kumar, S., Mukherjee, D., et al. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070 Du, H., Yang, J., King, R. B., et al. (2020). COVID‐19 Increases Online Searches for Emotional and Health‐Related Terms. Applied Psychology: Health and Well-Being, 12(4), 1039–1053. https://doi.org/10.1111/aphw.12237 Eger, L., Komárková, L., Egerová, D., et al. (2021). The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective. Journal of Retailing and Consumer Services, 61, 102542. https://doi.org/10.1016/j.jretconser.2021.102542 Ekinci, G., & Bilginer Özsaatci, F. G. (2023). Bibliometric Analysis of Publications on Artificial Intelligence and Marketing (Turkish). Sosyoekonomi, 31(56), 369–388. https://doi.org/10.17233/sosyoekonomi.2023.02.17 Elshami, W., Taha, M. H., Abuzaid, M., et al. (2021). Satisfaction with online learning in the new normal: perspective of students and faculty at medical and health sciences colleges. Medical Education Online, 26(1). https://doi.org/10.1080/10872981.2021.1920090 Ferreira, A. V. C., de Araújo, L. F., & De Sousa Barros Neto, R. N. (2022). Social Representations of COVID-19 Among Brazilian Elderly Women: A Structural Approach. LIBERABIT. Revista Peruana de Psicología, 28(2), e617. https://doi.org/10.24265/liberabit.2022.v 28n2.617 Folkers, T. (2013). Bibliometrics. Available online: https://www.researchgate.net/publication/258023097_Bibliometrics (accessed on 2 March 2024). Franco, A. C., & Silva Franco, L. (2022). The COVID-19 Pandemic and its Implications for Food Consumer Behavior: A Bibliometric Analysis of Institutionally Affiliated Research in Brazil. Innovar, 32(86), 13–25. https://doi.org/10.15446/innovar.v32n86.104658 Glänzel, W. (2003). BIBLIOMETRICS AS A RESEARCH FIELD A course on theory and application of bibliometric indicators. Available online: https://www.semanticscholar.org/paper/BIBLIOMETRICS-AS-A-RESEARCH-FIELD-A-course-on-and-Gl%C3%A4nzel/4c0a6c1c7642c1eec9cbbc8423b3020b155a3c16 (accessed on 3 May 2024). Goolsbee, A., & Syverson, C. (2021). Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020. Journal of Public Economics, 193, 104311. https://doi.org/10.1016/j.jpubeco.2020.104311 Gvirts, H., Ehrenfeld, L., Sharma, M., et al. (2023). Virtual social interactions during the COVID-19 pandemic: the effect of interpersonal motor synchrony on social interactions in the virtual space. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-37218-6 Hakim, M. P., Zanetta, L. D., & da Cunha, D. T. (2021). Should I stay, or should I go? Consumers’ perceived risk and intention to visit restaurants during the COVID-19 pandemic in Brazil. Food Research International, 141, 110152. https://doi.org/10.1016/j.foodres.2021.110152 Hassan, S. B., & Soliman, M. (2021). COVID-19 and repeat visitation: Assessing the role of destination social responsibility, destination reputation, holidaymakers’ trust and fear arousal. Journal of Destination Marketing & Management, 19, 100495. https://doi.org/10.1016/j.jdmm.2020.100495 Herindar, E., & Rusydiana, A. (2022). The Impact of COVID-19 on Islamic Economics & Finance Industry: A Bibliometric Analysis. Available online: https://www.semanticscholar.org/paper/The-Impact-of-COVID-19-on-Islamic-Economics-%26-A-Herindar-Rusydiana/07247e587efae52e628741c907624f2a116d343d (accessed on 3 May 2024). Hesham, F., Riadh, H., & Sihem, N. K. (2021). What Have We Learned about the Effects of the COVID-19 Pandemic on Consumer Behavior? Sustainability, 13(8), 4304. https://doi.org/10.3390/su13084304 Hoff, T. (2021). COVID‐19 and The Study of Professionals and Professional Work. Journal of Management Studies, 58(5), 1395–1399. https://doi.org/10.1111/joms.12694 Imber‐Black, E. (2020). Rituals in the Time of COVID‐19: Imagination, Responsiveness, and the Human Spirit. Family Process, 59(3), 912–921. https://doi.org/10.1111/famp.12581 Karaman, D., & Sarikan, M. (2022). Bibliometric Analysis of Consumer Behaviour Research Conducted During the COVID-19 Pandemic Period. Alanya Akademik Bakış, 6(3), 2943–2959. https://doi.org/10.29023/alanyaakademik.1141274 Karataş, A. R., Kazak, H., Akcan, A. T., et al. (2024). A bibliometric mapping analysis of the literature on patent analysis. World Patent Information, 77, 102266. https://doi.org/10.1016/j.wpi.2024.102266 Kazak, H. (2023). Causality Change Between BIST 100 Index and USD, Gold, and BITCOIN Before and After the COVID-19 Pandemic: A Historical Analysis with a Fourier Function on Turkiye. Fiscaoeconomia, 7(3), 1813–1836. https://doi.org/10.25295/fsecon.1261953 Kazak, H. (2023). Is Islamic financial management getting enough attention? A bibliometric analysis. Journal of Islamic Accounting and Business Research, 15(7), 1156–1177. https://doi.org/10.1108/jiabr-02-2023-0068 Kim, J., Yang, K., Min, J., et al. (2021). Hope, fear, and consumer behavioral change amid COVID‐19: Application of protection motivation theory. International Journal of Consumer Studies, 46(2), 558–574. https://doi.org/10.1111/ijcs.12700 Kolesnyk, D. (2021). Peculiarities of consumer behavior in COVID-19 conditions: bibliometric analysis. Vìsnik Sumsʹkogo Deržavnogo Unìversitetu, 2021(4), 174–181. https://doi.org/10.21272/1817-9215.2021.4-21 Laato, S., Islam, A. K. M. N., Farooq, A., et al. (2020). Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach. Journal of Retailing and Consumer Services, 57, 102224. https://doi.org/10.1016/j.jretconser.2020.102224 Labuschagne, A. (2015). Qualitative Research - Airy Fairy or Fundamental? The Qualitative Report. https://doi.org/10.46743/2160-3715/2003.1901 Lehberger, M., Kleih, A.-K., & Sparke, K. (2021). Panic buying in times of coronavirus (COVID-19): Extending the theory of planned behavior to understand the stockpiling of nonperishable food in Germany. Appetite, 161, 105118. https://doi.org/10.1016/j.appet.2021.105118 Leung, J., Chung, J. Y. C., Tisdale, C., et al. (2021). Anxiety and Panic Buying Behaviour during COVID-19 Pandemic—A Qualitative Analysis of Toilet Paper Hoarding Contents on Twitter. International Journal of Environmental Research and Public Health, 18(3), 1127. https://doi.org/10.3390/ijerph18031127 Lins, S., & Aquino, S. (2020). Development and initial psychometric properties of a panic buying scale during COVID-19 pandemic. Heliyon, 6(9), e04746. https://doi.org/10.1016/j.heliyon.2020.e04746 Loxton, M., Truskett, R., Scarf, B., et al. (2020). Consumer Behaviour during Crises: Preliminary Research on How Coronavirus Has Manifested Consumer Panic Buying, Herd Mentality, Changing Discretionary Spending and the Role of the Media in Influencing Behaviour. Journal of Risk and Financial Management, 13(8), 166. https://doi.org/10.3390/jrfm13080166 Lyons, V. H., Haviland, M. J., Azrael, D., et al. (2020). Firearm purchasing and storage during the COVID-19 pandemic. Injury Prevention, 27(1), 87–92. https://doi.org/10.1136/injuryprev-2020-043872 Memon, Y. J., Naveed, S., & Nasrallah, J. A. (2022). COVID-19 and consumer behaviour: A bibliometric analysis. Journal of Public Value and Administrative Insight, 1, 62–76. https://doi.org/10.31580/jpvai.v5i1.2427 Mongeon, P., & Paul-Hus, A. (2015). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5 Moon, J., Choe, Y., & Song, H. (2021). Determinants of Consumers’ Online/Offline Shopping Behaviours during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18(4), 1593. https://doi.org/10.3390/ijerph18041593 Murphy, B., Benson, T., McCloat, A., et al. (2020). Changes in Consumers’ Food Practices during the COVID-19 Lockdown, Implications for Diet Quality and the Food System: A Cross-Continental Comparison. Nutrients, 13(1), 20. https://doi.org/10.3390/nu13010020 Novelli, G. (2024). Two Years of COVID: The Journey to Discover a New Disease. COVID, 4(1), 85–86. https://doi.org/10.3390/COVID4010008 Nowell, L. S., Norris, J. M., White, D. E., et al. (2017). Thematic Analysis. International Journal of Qualitative Methods, 16(1), 160940691773384. https://doi.org/10.1177/1609406917733847 Oliveira, W. Q. de, Azeredo, H. M. C. de, Neri-Numa, I. A., & Pastore, G. M. (2021). Food packaging wastes amid the COVID-19 pandemic: Trends and challenges. Trends in Food Science & Technology, 116, 1195–1199. https://doi.org/10.1016/j.tifs.2021.05.027 Parashar, N., & Hait, S. (2021). Plastics in the time of COVID-19 pandemic: Protector or polluter? Science of The Total Environment, 759, 144274. https://doi.org/10.1016/j.scitotenv.2020.144274 Philippe, K., Chabanet, C., Issanchou, S., et al. (2021). Child eating behaviors, parental feeding practices and food shopping motivations during the COVID-19 lockdown in France: (How) did they change? Appetite, 161, 105132. https://doi.org/10.1016/j.appet.2021.105132 Pluto Labs. (2024). Search results for “COVID-19”. Available online: https://www.scinapse.io/search?q=COVID-19 (accessed on 3 May 2024). Poelman, M. P., Gillebaart, M., Schlinkert, C., et al. (2021). Eating behavior and food purchases during the COVID-19 lockdown: A cross-sectional study among adults in the Netherlands. Appetite, 157, 105002. https://doi.org/10.1016/j.appet.2020.105002 Prentice, C., Chen, J., & Stantic, B. (2020). Timed intervention in COVID-19 and panic buying. Journal of Retailing and Consumer Services, 57, 102203. https://doi.org/10.1016/j.jretconser.2020.102203 Qi, X., Yu, H., & Ploeger, A. (2020). Exploring Influential Factors Including COVID-19 on Green Food Purchase Intentions and the Intention–Behaviour Gap: A Qualitative Study among Consumers in a Chinese Context. International Journal of Environmental Research and Public Health, 17(19), 7106. https://doi.org/10.3390/ijerph17197106 Rocio, H. G., Jaime, O. C., & Cinta, P. C. (2023). The Role of Management in Sustainable Tourism: A Bibliometric Analysis Approach. Sustainability, 15(12), 9712. https://doi.org/10.3390/su15129712 Romeo-Arroyo, E., Mora, M., & Vázquez-Araújo, L. (2020). Consumer behavior in confinement times: Food choice and cooking attitudes in Spain. International Journal of Gastronomy and Food Science, 21, 100226. https://doi.org/10.1016/j.ijgfs.2020.100226 Roni, M., Mohamad, S. H., Borhanordin, A. H., et al. (2022). Online Food Shopping Motives during COVID-19 Pandemic for Improving Behavioural Intention: Conceptual Model and Propositions. Webology, 19(1), 2458–2474. https://doi.org/10.14704/web/v19i1/web19165 Roy, S. B., & Basak, M. (2013). Journal of Documentation: A Bibliometric Study. Available online: https://digitalcommons.unl.edu/libphilprac/945/ (accessed on 3 May 2024). Sheth, J. (2020). Impact of COVID-19 on consumer behavior: Will the old habits return or die? Journal of Business Research, 117, 280–283. https://doi.org/10.1016/j.jbusres.2020.05.059 Song, S., Yao, X., & Wen, N. (2021). What motivates Chinese consumers to avoid information about the COVID-19 pandemic?: The perspective of the stimulus-organism-response model. Information Processing & Management, 58(1), 102407. https://doi.org/10.1016/j.ipm.2020.102407 Stalmachova, K., Chinoracky, R., & Strenitzerova, M. (2021). Changes in Business Models Caused by Digital Transformation and the COVID-19 Pandemic and Possibilities of Their Measurement—Case Study. Sustainability, 14(1), 127. https://doi.org/10.3390/su14010127 Sun, X., Su, W., Guo, X., et al. (2021). The Impact of Awe Induced by COVID-19 Pandemic on Green Consumption Behavior in China. International Journal of Environmental Research and Public Health, 18(2), 543. https://doi.org/10.3390/ijerph18020543 Suryadi, N. (2023). Exploring Health Consumer Behavior During COVID-19: A Bibliometric Analysis. Asia Pacific Journal of Management and Education, 6(1). https://doi.org/10.32535/apjme.v6i1.2216 Talan, T. (2021). Bibliometric Analysis of the Research on Seamless Learning. International Journal of Technology in Education, 428–442. https://doi.org/10.46328/ijte.113 Taylor, S. (2021). Understanding and managing pandemic-related panic buying. Journal of Anxiety Disorders, 78, 102364. https://doi.org/10.1016/j.janxdis.2021.102364 Teo, C. L., Chee, M. L., Koh, K. H., et al. (2021). COVID-19 awareness, knowledge and perception towards digital health in an urban multi-ethnic Asian population. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-90098-6 Torales, J., O’Higgins, M., Castaldelli-Maia, J. M., et al. (2020). The outbreak of COVID-19 coronavirus and its impact on global mental health. International Journal of Social Psychiatry, 66(4), 317–320. https://doi.org/10.1177/0020764020915212 Vanapalli, K. R., Sharma, H. B., Ranjan, V. P., et al. (2021). Challenges and strategies for effective plastic waste management during and post COVID-19 pandemic. Science of The Total Environment, 750, 141514. https://doi.org/10.1016/j.scitotenv.2020.141514 Vazquez-Marin, P., Cuadrado, F., & Lopez-Cobo, I. (2023). Connecting Sustainable Human Development and Positive Psychology through the Arts in Education: A Systematic Review. Sustainability, 15(3), 2076. https://doi.org/10.3390/su15032076 Veiga, P. M., & Diogo, J. (2022). Consumer Behavior: A Literature Review of the Early Research on the COVID-19 Outbreak. Available online: http://u3isjournal.isvouga.pt/index.php/ijmcnm/article/view/609 (accessed on 3 May 2024). Vyas, L., & Butakhieo, N. (2020). The impact of working from home during COVID-19 on work and life domains: an exploratory study on Hong Kong. Policy Design and Practice, 1–18. https://doi.org/10.1080/25741292.2020.1863560 Xiong, J., Tang, Z., Zhu, Y., et al. (2021). Change of Consumption Behaviours in the Pandemic of COVID-19: Examining Residents’ Consumption Expenditure and Driving Determinants. International Journal of Environmental Research and Public Health, 18(17), 9209. https://doi.org/10.3390/ijerph18179209 Yuen, K. F., Wang, X., Ma, F., et al. (2020). The Psychological Causes of Panic Buying Following a Health Crisis. International Journal of Environmental Research and Public Health, 17(10), 3513. https://doi.org/10.3390/ijerph17103513 Zanabazar, A., Jigjiddor, S., & Jambal, T. (2022). The Impact of Work-related Stress on Job Satisfaction and Organizational Trust during COVID-19 Pandemic. SHS Web of Conferences, 135, 01019. https://doi.org/10.1051/shsconf/202213501019 Zhang, R., Ji, H., Pang, Y., et al. (2022). The impact of COVID-19 on cultural industries: An empirical research based on stock market returns. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.806045



DOI: https://doi.org/10.24294/jipd.v8i10.8269

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Hasan Kazak, Abdullah Kilicarslan, Mustafa Cihan Yarali, Osman Okka

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.