Browse > Article
http://dx.doi.org/10.15722/jds.19.11.202111.27

The Changes of Consumption Behavior in Bengkulu, Indonesia: Case of Purchasing Corona Prevention Products Through Indirect Ditribution Channel  

Hayu, Rina Suthia (Department of Economy and Business, University of Bengkulu)
Sulistiyawan, Edy (Department of Economy and Business, PGRI Adi Buana)
Salim, Muhartini (Department of Economy and Business, University of Bengkulu)
Publication Information
Journal of Distribution Science / v.19, no.11, 2021 , pp. 27-36 More about this Journal
Abstract
Purpose: COVID-19, government regulation and social media have changed many aspects of life including consumption behavior. The influence of social media by spreading massive news about COVID-19 also have the impact toward emotions threat, perceived risk, and perceived value of consumption behavior in Bengkulu Province, Indonesia. This research aims to analyze the extent to which changes in the consumption behavior, mainly for purchasing of corona prevention products through indirect distribution channels. Research design, data and methodology: This research was descriptive quantitative using the IPA method with sample of people in Bengkulu Province. This study obtained 208 respondent data from questionnaires and tested the validity and reliability with corrected-item total correlation method. Results: The study found that COVID-19 pandemic and government regulation variable were in quadrant II, in quadrant III there were social media variable, emotions threat and perceived risk. Meanwhile, in quadrant IV there were perceived value variable. Conclusions: The findings indicated that COVID-19 and government regulation are the most variable that influence people to buy corona prevention product, meanwhile perceived value is the less influence variable. Therefore, government and marketers have to prepare strategic plan in order to raise people awareness to avoid corona by buying corona prevention product.
Keywords
Government Regulation; COVID-19; Social Media; Emotions Threat; Perceived Risk; Perceived Value; Indirect Distribution Channel;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Dodds, W. B., Monroe, K. B., Grewal, D., Dodds, B., & Monroe, B. (1991). Effect of Price, Brand, and Store Information Buyers Evaluations. Journal of Marketing Research, 28(3), 307-319.   DOI
2 Featherman, M. S., Miyazaki, A. D., & Sprott, D. E. (2010). Reducing online privacy risk to facilitate e-service adoption: The influence of perceived ease of use and corporate credibility. Journal of Services Marketing, 24(3), 219-229. https://doi.org/10.1108/08876041011040622   DOI
3 Glaeser, E. L., (2003). Psychology and The Market. Harvard Institute of Economic Research. 94(2), 408-413 https://www.jstor.org/stable/3592919
4 Hair, J.F., Black, W.C., Babin, B.J., Underson R.E., & Ronald, L. (2010). Multivariate Data Analysis : A Global Perspective (7th Edition). In New Jersey : Pearson. https://doi.org/10.1016/j.foodchem.2017.03.133
5 Han, M. C., & Kim, Y. (2017). Why Consumers Hesitate to Shop Online: Perceived Risk and Product Involvement on Taobao.com. Journal of Promotion Management, 23(1), 24-44. https://doi.org/10.1080/10496491.2016.1251530   DOI
6 Magal, R.S., & Levenburg, N. M. (2005). Using importance-performance analysis to evaluate e-business strategies among small businesses. Proceedings of the Annual Hawaii International Conference on System Sciences, 00(C), 176. https://doi.org/10.1109/hicss.2005.661   DOI
7 Spais, G. S., & Vasileiou, K. (2006). Path Modeling The Antecedent Factors To Consumer Repurchase Intentions For Advanced Technological Food Products: Some Correlations Between Selected Factor Variables. Journal of Business Case Studies (JBCS), 2(2), 45-72. https://doi.org/10.19030/jbcs.v2i2.4889   DOI
8 Hoyer, W., Maccinnis D., Pieters, R. (2014). Consumer Behaviour 6th Ed. Consumer Behavior 6th Ed. United States of America: South-Western Cengage Learning.
9 Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention. European Journal of Marketing, 37(11/12), 1762-1800. https://doi.org/10.1108/03090560310495456   DOI
10 Holbrook, M. B. (2006). Consumption experience, customer value, and subjective personal introspection: An illustrative photographic essay. Journal of Business Research, 59(6), 714-725. https://doi.org/10.1016/j.jbusres.2006.01.008   DOI
11 Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59-68. https://doi.org/10.1016/j.bushor.2009.09.003   DOI
12 Kim, H. K., & Davis, K. E. (2009). Toward a comprehensive theory of problematic Internet use: Evaluating the role of self-esteem, anxiety, flow, and the self-rated importance of Internet activities. Computers in Human Behavior, 25(2), 490-500. https://doi.org/10.1016/j.chb.2008.11.001   DOI
13 Krippendorff, K. (2004). Content Analysis an Introduction to Its Metodology 2nd Edition. London: Sage Publiction.
14 Lazarus, R.S. (1991). Progress on a cognitive-motivational-relational theory of emotion. American Psychologist, 46(8), 819-834. https://doi.org/10.1037/0003-066X.46.8.819   DOI
15 Martilla, J., & James, J. (1977). Importance-Performance Analysis: An easily applied technique for measuring attribute importance and performance can further the development of effective marketing programs. Journal of Marketing, 41(1), 77-79. https://doi.org/10.1177/002224297704100112   DOI
16 Smith, C. A., & Lazarus, R. S. (1993). Appraisal Components, Core Relational Themes, and the Emotions. Cognition and Emotion, 7(3-4), 233-269. https://doi.org/10.1080/02699939308409189   DOI
17 Cox, D. F., & Rich, S. U. (1964). Perceived Risk and Consumer Decision-Making: The Case of Telephone Shopping. Journal of Marketing Research, 1(4), 32. https://doi.org/10.2307/3150375   DOI
18 Muntinga, D. G., Moorman, M., & Smit, E. G. (2011). Introducing COBRAs: Exploring motivations for Brand-Related social media use. International Journal of Advertising, 30(1), 37-41. https://doi.org/10.2501/IJA-30-1-013-046   DOI
19 Nielsen. (2020). Race Against COVID-19: A Deep Dive on How Indonesian Consumers Are Reacting to the Virus. https://www.nielsen.com/id/en/insights/article/2020/raceagainst-covid-19-deep-dive-on-how-indonesian-consumersreact-towards-the-virus/ (Accessed Juni 2, 2020)
20 Russell, J. A., & Pratt, G. (1980). A description of the affective quality attributed to environments. Journal of Personality and Social Psychology, 38(2), 311-322. https://doi.org/10.1037//0022-3514.38.2.311   DOI
21 Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369-392. https://doi.org/10.1108/IntR-12-2012-0244   DOI
22 DSouza, R. S., DSouza, S., Strand, N., Anderson, A., Vogt, M. N. P., & Olatoye, O. (2020). YouTube as a source of medical information on the novel coronavirus 2019 disease (COVID-19) pandemic. Global Public Health, 15(7), 935-942. https://doi.org/10.1080/17441692.2020.1761426   DOI
23 Belanche, D., Casalo, L. V., & Guinaliu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk. Journal of Retailing and Consumer Services, 19(1), 124-132. https://doi.org/10.1016/j.jretconser.2011.11.001   DOI
24 Lazarus, R.S 7 Folkman, S. (1984). Stress, Appraisal, and Coping: A new synthesi. New York: Springer (Vol. 148).
25 Bhukya, R., & Singh, S. (2015). The effect of perceived risk dimensions on purchase intention: An empirical evidence from Indian private labels market. American Journal of Business, 30(4), 218-230. https://doi.org/10.1108/AJB-10-2014-0055   DOI
26 Bolton, R. N., & Drew, J. H. (1991). A Longitudinal Analysis of the Impact of Service Changes on Customer Attitudes. Journal of Marketing, 55(1), 1. https://doi.org/10.2307/1252199   DOI
27 Chang, E. C., & Tseng, Y. F. (2013). Research note: E-store image, perceived value and perceived risk. Journal of Business Research, 66(7), 864-870. https://doi.org/10.1016/j.jbusres.2011.06.012   DOI
28 DeMarrais & Lapan. (2004). Foundations for Research: Methods of Inquiry in Education and the Social Sciences. In London : LEA Publisher.
29 Wood, C. M., & Scheer, L. K. (1996). Incorporating Perceived Risk into Models of Consumer Deal Assessment and Purchase Intent. Advances in Consumer Research, 23(January), 399-404. http://www.acrwebsite.org/volumes/7867/volumes/v23/NA-23
30 Wang, E. S. T. (2013). The influence of visual packaging design on perceived food product quality, value, and brand preference. International Journal of Retail and Distribution Management, 41(10), 805-816. https://doi.org/10.1108/IJRDM-12-2012-0113   DOI
31 Yi, S., & Baumgartner, H. (2004). Coping with negative emotions in purchase-related situations. Journal of Consumer Psychology, 14(3), 303-317. https://doi.org/10.1207/s15327663jcp1403_11   DOI
32 Yu, H.S., Zang, J.J., Kim, D.H., Chen, K.K., Henderson, C., Min, S., & H. H. (2014). Service Quality, Perceived Value, Customer Satisfaction, and Behavioral Intention Among Fitness Center Members Aged 60 Years and Over. ARPN Journal of Engineering and Applied Sciences, 13(2), 632-637. https://doi.org/https:https://doi.org/10.1177/002224297704100112   DOI
33 Yu, S., & Lee, J. (2019). The effects of consumers perceived values on intention to purchase upcycled products. Sustainability (Switzerland), 11(4). https://doi.org/10.3390/su11041034   DOI
34 Zeithaml, V. A. (1983). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Blood, 62(5), 1047-1054. https://doi.org/10.1182/blood.v62.5.1047.104   DOI