TÜKETİCİ DAVRANIŞLARI VE DOĞAL AFETLERİN KAPSAMLI BİR İNCELEMESİ: BİBLİYOMETRİK VE TCCM TEMELLİ BİR İNCELEME

Öz

Bu çalışma, tüketici davranışı ile doğal afetler arasındaki ilişkiye odaklanan bilgi birikimini bibliyometrik ve sistematik bir perspektifle analiz etmeyi amaçlamaktadır. Araştırmanın ilk aşamasında, 1991–2024 yılları arasında doğal afet türleri karşısında tüketici davranışlarını inceleyen 161 makalenin bibliyometrik çıktıları değerlendirilmiştir. Veri seti, belirlenen dahil etme ve dışlama kriterleri doğrultusunda Web of Science (WoS) veri tabanından elde edilmiştir. Bibliyometrik analiz sürecinde VOSviewer yazılımı kullanılarak atıf, anahtar kelime ve eşoluşum analizleri gerçekleştirilmiştir. Araştırmanın ikinci aşamasında ise veri setinde yer alan 31 ampirik çalışma, Teori, Bağlam, Özellikler ve Yöntemler (TCCM) çerçevesi kapsamında incelenmiş ve doğal afetler ile tüketim davranışları arasındaki kuramsal gelişim derinlemesine çözümlenmiştir. Bulgular, yayın odağının Journal of Consumer Research öncülüğünde şekillendiğini, Icek Ajzen ve Roger Clarke’ın en etkili yazarlar arasında yer aldığını ve Planlı Davranış Teorisinin alan için temel bir kuramsal çerçeve sunduğunu ortaya koymaktadır. TCCM analizi ise, risk temelli kuramların da belirginliğini, bağlamsal olarak sel, deprem ve kasırga afetlerine odaklanıldığını ve nicel yaklaşımın baskın olduğunu göstermektedir. Ayrıca araştırma yoğunluğunun büyük ölçekli afetlerin hemen sonrasında arttığı, ancak afet sonrası dönemlerde azaldığı tespit edilmiştir. Bu durum, tüketim kalıplarındaki değişimlerin çoğunlukla olay odaklı ve kısa vadeli yaklaşımlar çerçevesinde ele alındığına dayalı işaret eder nitelikte yorumlanmıştır.

Anahtar Kelimeler

• Tüketici Davranışı
• Doğal Afet
• Bibliyometrik Haritalama
• TCCM
• Sistematik İnceleme

A COMPREHENSIVE EXAMINATION OF CONSUMER BEHAVIOR AND NATURAL DISASTERS: A BIBLIOMETRIC AND TCCM-BASED REVIEW

Öz

This study aims to analyze the body of knowledge focusing on the relationship between consumer behavior and natural disasters from a bibliometric and systematic perspective. The first step of the research analyzed the bibliometric outputs of 161 articles published between 1991 and 2024 on consumer behavior in response to natural disasters. The dataset was retrieved from the Web of Science database in accordance with predefined inclusion and exclusion criteria. During the bibliometric analysis process, co-citation and keyword co-occurrence analyses were conducted using VOSviewer software. In the second stage of the research, 31 empirical studies from the dataset were reviewed using Theory, Context, Characteristics, and Methods to examine the theoretical development of natural disasters and consumer behavior. The Journal of Consumer Research has shaped the publication focus, Icek Ajzen and Roger Clarke are significant authors, and the Theory of Planned Behavior provides a theoretical basis for the area. The TCCM analysis demonstrates the prominence of risk-based theories, a contextual emphasis on floods, earthquakes, and hurricanes, and the dominance of quantitative research approaches. Moreover, research intensity increases immediately after large-scale disasters but declines in post-disaster periods. This pattern indicates that changes in consumption behavior are predominantly examined through event-driven and short-term perspectives.

Anahtar Kelimeler

• Consumer Behavior
• Natural Disaster
• Bibliometric Mapping
• TCCM
• Systematic Review

Kaynakça

1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
2. Alatrista-Salas, H., Gauthier, V., Núñez-del-Prado, M., & Becker, M. (2021). Impact of natural disasters on consumer behavior: Case of the 2017 El Niño phenomenon in Peru. PLOS ONE, 16(1), e0244409. https://doi.org/10.1371/journal.pone.0244409
3. Archambault, É., Campbell, D., Gingras, Y., & Larivière, V. (2009). Comparing bibliometric statistics obtained from the Web of Science and Scopus. Journal of the American Society for Information Science and Technology, 60(7), 1320–1326. https://doi.org/10.1002/asi.21062
4. Baker, S. M. (2009). Vulnerability and resilience in natural disasters: A marketing and public policy perspective. Journal of Public Policy & Marketing, 28(1), 114–123. https://doi.org/10.1509/jppm.28.1.114
5. Brown, C., Christensen, S., Blake, A., Indraswari, K., Wilson, C., & Desouza, K. (2023). Is mandatory seller disclosure of flood risk necessary? A Brisbane, Australia, case study. Journal of Property, Planning and Environmental Law, 15(2), 83–105. https://doi.org/10.1108/JPPEL-10-2021-0058
6. Chandrasekar, K., & Rehman, V. (2024). Impact of exogenous brand crises on consumer behaviour. Marketing Intelligence & Planning, 42(5), 890–915. https://doi.org/10.1108/MIP-05-2023-0234
7. Chen, Y., Mandler, T., & Meyer-Waarden, L. (2021). Three decades of research on loyalty programs: A literature review and future research agenda. Journal of Business Research, 124, 179–197. https://doi.org/10.1016/j.jbusres.2020.11.057
8. Corallo, A., Latino, M. E., Menegoli, M., & Signore, F. (2024). Impact of natural disaster on consumer behaviour: Italian case of Xylella fastidiosa. Intellectual Economics, 18(1), 177-192. https://doi.org/10.13165/IE-24-18-1-08

9. Curiel, R. P., Arnau, C. C., Pinedo, M. T., Ramírez, H. G., & Bishop, S. R. (2019). Temporal and spatial analysis of the media spotlight. Computers, Environment and Urban Systems, 75, 254-263. https://doi.org/10.1016/j.compenvurbsys.2019.02.004
10. Damon, S. A., Poehlman, J. A., Rupert, D. J., & Williams, P. N. (2013). Storm-related carbon monoxide poisoning: an investigation of target audience knowledge and risk behaviors. Social Marketing Quarterly, 19(3), 188-199. https://doi.org/10.1177/1524500413493426
11. Dascher, E. D., Kang, J., & Hustvedt, G. (2014). Water sustainability: environmental attitude, drought attitude and motivation. International Journal of Consumer Studies, 38(5), 467-474. https://doi.org/10.1111/ijcs.12104
12. Delorme, D. E., Zinkhan, G. M., & Hagen, S. C. (2004). The process of consumer reactions to possession threats and losses in a natural disaster. Marketing Letters, 15(4), 185–199. https://doi.org/10.1023/B:MARK.0000049394.40988.36
13. Dodd, T., Graves, C. & Hentzen, J. (2022). Impact and university business training courses delivered to the marginalized: a systematic review. Academy of Management Learning and Education, Vol. 21 No. 3, pp. 449-469. https://doi.org/10.5465/amle.2021.0244
14. Donthu, N., Kumar, S., Pandey, N., & Gupta, P. (2021). Forty years of the International Journal of Information Management: A bibliometric analysis. International Journal of Information Management, 57, 102307. https://doi.org/10.1016/j.ijinfomgt.2020.102307
15. Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105, 1809–1831. https://doi.org/10.1007/s11192-015-1645-z
16. Fawaz, R. S., Bourliataux‐Lajoinie, S., Roessner, A., & Okazaki, S. (2023). What do we know about consumers' ontological security in disaster scenarios?. International Journal of Consumer Studies, 47(4), 1483-1499. https://doi.org/10.1111/ijcs.12926
17. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
18. Garcia-Collart, T. (2024). Speak up! brands’ responsiveness matters: consumer reactions to brand communications in the early stages of a crisis. Journal of Product & Brand Management, 33(4), 449-459.
19. Geaves, L., Hall, J., & Penning‐Rowsell OBE, E. (2024). Integrating irrational behavior into flood risk models to test the outcomes of policy interventions. Risk Analysis, 44(5), 1067-1083. https://doi.org/10.1111/risa.14238
20. Hsee, C. K., & Zhang, J. (2022). How uncertainty affects information search among consumers. Journal of the Academy of Marketing Science, 50(5), 946–965. https://doi.org/10.1007/s11002-022-09657-0
21. Im, J., Kim, J., & Choeh, J. Y. (2021). COVID-19, social distancing, and risk-averse actions of hospitality and tourism consumers: A case of South Korea. Journal of Destination Marketing & Management, 20, 100566. https://doi.org/10.1016/j.jdmm.2021.100566
22. Jiménez-Barreto, J., Gutiérrez-Taño, D., Díaz-Armas, R., & Campo, S. (2023). Residents’ fresh start mindset and attitudes towards tourism after a natural disaster: the case of the volcano in La Palma. Current Issues in Tourism, 26(22), 3721-3733. https://doi.org/10.1080/13683500.2022.2147269
23. Knuth, M., Behe, B. K., Hall, C. R., Huddleston, P. T., & Fernandez, R. T. (2018). Consumer perceptions, attitudes, and purchase behavior with landscape plants during real and perceived drought periods. HortScience, 53(1), 49-54. https://doi.org/10.21273/HORTSCI12445-17
24. Kudo, D., & Nagaya, K. (2017). Effects of matching and mismatching messages on purchase avoidance behavior following major disasters. Psychology & Marketing, 34(3), 335–346. https://doi.org/10.1002/mar.20988
25. Lee, Y. Y. (2010). Gentrification and crime: Identification using the 1994 Northridge earthquake in Los Angeles. Journal of Urban Affairs, 32(5), 549-577. https://doi.org/10.1111/j.1467-9906.2010.00506.x
26. Li, D., & Atkinson, L. (2020). Effect of emotional victim images in prosocial advertising: the moderating role of helping mode. International Journal of Nonprofit and Voluntary Sector Marketing, 25(4), e1676. https://doi.org/10.1002/nvsm.1676
27. Lim, W. M., & Kumar, S. (2024). Guidelines for interpreting the results of bibliometric analysis: A sensemaking approach. Global Business and Organizational Excellence, 43(2), 17-26. https://doi.org/10.1002/joe.22273
28. Linnenluecke, M. K., Marrone, M., & Singh, A. K. (2020). Conducting systematic literature reviews and bibliometric analyses. Australian Journal of Management, 45(2), 175-194. https://doi.org/10.1177/0312896219877678
29. Lowe, B., Lynch, D., & Lowe, J. (2014). The role and application of social marketing in managing water consumption: a case study. International Journal of Nonprofit and Voluntary Sector Marketing, 19(1), 14-26. https://doi.org/10.1002/nvsm.1484
30. Lu, H., Zeng, K., & Mao, Z. (2023). Perceptions of corporate social responsibilities and stakeholder engagement in the context of a disaster: A moderated mediation analysis from the perspective of consumer responses. Corporate Social Responsibility and Environmental Management, 30(6), 2873-2884. https://doi.org/10.1002/csr.2526
31. Martín-Martín, A., Orduna-Malea, E., Thelwall, M., & López-Cózar, E. D. (2018). Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories. Journal of Informetrics, 12(4), 1160-1177. https://doi.org/10.1016/j.joi.2018.09.002
32. Menozzi, D., & Finardi, C. (2019). May trust and solidarity defy food scares? The case of Parmigiano-Reggiano PDO sales in the aftermath of natural disaster. British Food Journal, 121(12), 3119-3134. https://doi.org/10.1108/BFJ-04-2019-0261
33. Moon, S., Kwon, J., Jung, S. U., & Bae, Y. H. (2018). The impact of individual differences in weather sensitivity on weather-related purchase intentions. International Journal of Market Research, 60(1), 104-117. https://doi.org/10.1177/1470785317744090
34. Nishio, C., Ishida, M., & Takeuchi, T. (2014). The impact of natural disasters on the values and lifestyles of consumers: in the case of the Tohoku earthquake. Journal of Global Scholars of Marketing Science, 24(2), 172-188. https://doi.org/10.1080/21639159.2014.919891
35. Okazaki, S., Benavent-Climent, A., Navarro, A., & Henseler, J. (2015). Responses when the earth trembles: The impact of community awareness campaigns on protective behavior. Journal of Public Policy & Marketing, 34(1), 4–18. https://doi.org/10.1509/jppm.13.038
36. Pan, X., Dresner, M., Mantin, B., & Zhang, J. A. (2020). Pre-hurricane consumer stockpiling and post-hurricane product availability. Production and Operations Management, 29(10), 2350–2380. https://doi.org/10.1111/poms.13202
37. Pandelica, A., & Pandelica, I. (2011). The change of consumers' behavior in crisis conditions: A psychological approach to the empirical evidence from Romania. African Journal of Business Management, 5(28), 11399. https://doi.org/10.5897/AJBM11.266
38. Paul, J., Khatri, P., & Kaur Duggal, H. (2023). Frameworks for developing impactful systematic literature reviews and theory building: What, why and how? Journal of Decision Systems, 1–14. https://doi.org/10.1080/12460125.2023.2197341
39. Rundblad, G., Knapton, O., & Hunter, P. R. (2010). Communication, perception and behaviour during a natural disaster. BMC Public Health, 10, 641. https://doi.org/10.1186/1471-2458-10-641
40. Rundblad, G., Knapton, O., & Hunter, P. R. (2014). Drinking water incidents and consumer behaviour. International Journal of Environmental Research and Public Health, 11(11), 11915–11930. https://doi.org/10.3390/ijerph111111915
41. Septianto, F., Seo, Y., & Paramita, W. (2022). The role of implicit theories in motivating donations in response to threat-based awe. Journal of Public Policy & Marketing, 41(1), 72-88. https://doi.org/10.1177/07439156211032539
42. Setiawan, M., Sadeli, D., & Mohamad, S. H. (2025). Environmental consciousness, health consciousness and ethical identity to achieve sustainable rehabilitation after disaster. In E3S Web of Conferences (Vol. 604, p. 08001). EDP Sciences. https://doi.org/10.1051/e3sconf/202560408001
43. Singh, S., & Dhir, S. (2019). Structured review using TCCM and bibliometric analysis of international cause-related marketing, social marketing, and innovation of the firm. International Review on Public and Nonprofit Marketing, 16, 335-347. https://doi.org/10.1007/s12208-018-0211-2
44. Sneath, J. Z., Lacey, R., & Kennett-Hensel, P. A. (2009). Coping with a natural disaster: Losses, emotions, and impulsive and compulsive buying. Marketing Letters, 20(1), 45–60. https://doi.org/10.1007/s11002-008-9058-y
45. Sony, A., & Ferguson, D. (2017). Unlocking consumers’ environmental value orientations and green lifestyle behaviors: A key for developing green offerings in Thailand. Asia-Pacific Journal of Business Administration, 9(1), 37-53. https://doi.org/10.1108/APJBA-03-2016-0030
46. United Nations Office for Disaster Risk Reduction [UNDRR] (2024). 2023 Global assessment report on disaster risk reduction (Global Assessment Report). United Nations Office for Disaster Risk Reduction. Retrieved April 2024, from https://www.undrr.org/gar
47. Valencia, J., & Crouch, G. I. (2008). Travel behavior in troubled times: The role of consumer self‐confidence. Journal of Travel & Tourism Marketing, 25(1), 25-42. https://doi.org/10.1080/10548400802156861
48. Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Y. Ding, R. Rousseau, & D. Wolfram (Eds.), Measuring Scholarly Impact (pp. 285–320). Springer. https://doi.org/10.1007/978-3-319-10377-8_13
49. Veer, E., Ozanne, L. K., & Hall, C. M. (2016). Sharing cathartic stories online: The internet as a means of expression following a crisis event. Journal of Consumer Behaviour, 15(4), 314-324. https://doi.org/10.1002/cb.1561
50. Wu, S., Shen, Y., Geng, Y., Chen, T., & Xi, L. (2023). Consumer panic buying behavior and supply distribution strategy in a multiregional network after a sudden disaster. Systems, 11(2), 110. https://doi.org/10.3390/systems11020110
51. Yap, S. F., Xu, Y., & Tan, L. (2021). Coping with crisis: The paradox of technology and consumer vulnerability. International Journal of Consumer Studies, 45(6), 1239-1257. https://doi.org/10.1111/ijcs.12677
52. Zuhairi, A., Febryan, F. K., Martini, D., Hakim, B. A. R., & Wagian, D. (2021, May). Consumer Protection for Accessing Essential Needs in Disaster Situation in Indonesia. In 2nd Annual Conference on Education and Social Science (ACCESS 2020), 75-79. Atlantis Press. https://doi.org/10.2991/assehr.k.210525.019