바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Predicting Consumers’ Repurchase Intention of Ready-to-Drink Coffee: A Supply Chain from Thai Producers to Retailers

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2022, v.20 no.5, pp.105-117
https://doi.org/https://doi.org/10.15722/jds.20.05.202205.105
PUTITHANARAK, Naruecha
KLONGTHONG, Worasak
THAVORN, Jakkrit
NGAMKROECKJOTI, Chittipa

Abstract

Purpose: This research investigates ready-to-drink (RTD) coffee. Although the RTD coffee market is growing competitively, few studies have examined behavioral re-intention or repurchase intention in the context of this industry. Therefore, the objective of this study was to explore factors affecting the behavioral re-intention to purchase RTD coffee. Research design, data and methodology: Using the theory of planned behavior (TPB) as the underpinning theoretical framework, this study hypothesized that behavioral re-intention to purchase RTD coffee is influenced by the variables of the TPB and additional variables. A mixed-method research design was applied, starting with qualitative in-depth interviews and followed by a quantitative method. Data were collected using an online survey of coffee lovers. Multiple linear regression (MLR) was used to assess the hypothesized relationships in the proposed conceptual framework. Results: The results reveal that content sensory attribute beliefs are the strongest positive predictor of behavioral re-intention in Thailand, followed by perceived utilitarian value. In contrast, price signaling was negatively related to behavioral re-intention. Conclusions: The findings can help food and beverage companies to develop new coffee product lines to gain more market share, create integrated marketing communications to build brand awareness, and manage distribution channels and the supply chain.

keywords
Theory of Planned Behavior, Content Sensory Attribute Beliefs, Perceived Utilitarian Value, Price Signaling, Behavioral Reintention, Ready-to-Drink Coffee, CoffeeChains, Distribution Channels, Retail Stores, Coffee Shops

Reference

1.

Agrawal, G. K., Timperio, A. M., Zolla, L., Bansal, V., Shukla, R., & Rakwal, R. (2013). Biomarker discovery and applications for foods and beverages: Proteomics to nanoproteomics. Journal of Proteomics, 93(1), 74-92. https://doi.org/https://doi.org/10.1016/j.jprot.2013.04.014

2.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/https://doi.org/10.1016/0749-5978(91)90020-T

3.

Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behaviour. New Jersey, United States: Prentice-Hall.

4.

Azevedo, L. M., Chiavegato, L. D., Carvalho, C. R. F., Braz, J. R., Nunes, C. C. M., & Padula, R. S. (2021). Are blue-collar workers more physically active than white-collar at work? Archives of Environmental & Occupational Health, 76(6), 338-347. https://doi.org/10.1080/19338244.2020.1835796

5.

Barahona, I., Sanmiguel, J. E. M., & Yang, J.-B. (2020). Sensory attributes of coffee beverages and their relation to price and package information: A case study of Colombian customers’ preferences. Food Science & Nutrition, 8(2), 1173-1186. https://doi.org/https://doi.org/10.1002/fsn3.1404

6.

Bekele, A. D., Beuving, J., & Ruben, R. (2017). How do health information and sensory attributes influence consumer choice for dairy products? Evidence from a field experiment in Ethiopia. International Journal of Quality & Reliability Management, 34(5), 667-683. https://doi.org/10.1108/IJQRM-12-2014-0195

7.

Belk, R. W. (1988). Possessions and the extended self. Journal of Consumer Research, 15(2), 139-168. https://doi.org/10.1086/209154

8.

Bernués, A., Olaizola, A., & Corcoran, K. (2003). Extrinsic attributes of red meat as indicators of quality in Europe: an application for market segmentation. Food Quality and Preference, 14(4), 265-276. https://doi.org/https://doi.org/10.1016/S0950-3293(02)00085 -X

9.

Bizarrias, F. S., Cucato, J. D. S. T., Strehlau, V. I., Ferreira, M. C. O., & Silva, D. J. G. (2019). Relationship and search for discounts, and their effects on loyalty and e-commerce, when mediated by satisfaction and trust. International Journal of Professional Business Review, 4(2), 51-69. https://doi.org/10.26668/businessreview/2019.v4i2.155

10.

Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2), 81-93. https://doi.org/10.1509/jmkg.65.2.81.18255

11.

Chelliah, S., Sulaiman, M., & Yusoff, Y. M. (2010). Internationalization and performance: Small and medium enterprises (SMEs) in Malaysia. International Journal of Business and Management, 5(9), 27-37. https://doi.org/https://doi.org/10.5539/ijbm.v5n6p27

12.

Chen, P. T., & Hu, H. H. (2010). How determinant attributes of service quality influence customer‐perceived value. International Journal of Contemporary Hospitality Management, 22(4), 535-551. https://doi.org/10.1108/09596111011042730

13.

Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research (3rd ed.). New York, United States: Sage Publications.

14.

Douglas C. M., Elizabeth A. P., & Vining, G. G. (2012). Introduction to linear regression analysis (5th ed.). New York, United States: John Wiley & Sons.

15.

Eccles, R., Du-Plessis, L., Dommels, Y., & Wilkinson, J. E. (2013). Cold pleasure. Why we like ice drinks, ice-lollies and ice cream. Appetite, 71(1), 357-360. https://doi.org/https://doi.org/10.1016/j.appet.2013.09.011

16.

Farrar, D. E., & Glauber, R. R. (2005). Multicollinearity in regression analysis: The problem revisited. The Review of Economics and Statistics, 49(1), 92-107. https://doi.org/https://doi.org/10.2307/1937887

17.

Gaascht, F., Dicato, M., & Diederich, M. (2015). Coffee provides a natural multitarget pharmacopeia against the hallmarks of cancer. Genes & Nutrition, 10(6), 3-17. https://doi.org/10.1007/s12263-015-0501-3

18.

Gumilang, M. F., Yuliati, L. N., & Indrawa, R. D. (2021). Repurchase intention of millennial generation in coffee shop with the coffee-to-go concepts. International Journal of Research and Review, 8(2), 347-361. https://doi.org/https://doi.org/10.52403/ijrr.20210248

19.

Hamdan, H., & Paijan, P. (2020). Utilitarian values and hedonic values of women coffee lovers. Dinasti International Journal of Education Management and Social Science, 2(2), 310-322. https://doi.org/https://doi.org/10.31933/dijemss.v2i2.666

20.

Hauke, J., & Kossowski, T. (2011). Comparison of values of Pearson’s and Spearman’s correlation coefficients on the same sets of data. Quaestiones Geographicae, 30(2), 87-93. https://doi.org/https://doi.org/10.2478/v10117-011-0021-1

21.

Jaimes, E. M. S., Torres, I. B., & Pérez-Villarreal, H. H. (2015). Sensory evaluation of commercial coffee brands in Colombia. International Journal of Business and Systems Research, 9(3), 195-213. https://doi.org/10.1504/IJBSR.2015.071831

22.

Jeon, J.-S., Kim, H.-T., Jeong, I.-H., Hong, S.-R., Oh, M.-S., Yoon, M.-H., Shim, J.-H., Jeong, J. H., & Abd El-Aty, A. M. (2019). Contents of chlorogenic acids and caffeine in various coffee-related products. Journal of Advanced Research, 17(1), 85-94. https://doi.org/https://doi.org/10.1016/j.jare.2019.01.002

23.

Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14-26. https://doi.org/10.3102/0013189X033007014

24.

Kalita, J. K., Jagpal, S., & Lehmann, D. R. (2004). Do high prices signal high quality? A theoretical model and empirical results. Journal of Product & Brand Management, 13(4), 279-288. https://doi.org/10.1108/10610420410546989

25.

Kwak, M.-K., & Cha, S.-S. (2022). Can coffee shops that have become the red ocean win with ESG? Journal of Distribution Science, 20(3), 83-93. https://doi.org/https://doi.org/10.15722/jds.20.03.202203.83

26.

Kwon, W.-T., & Kwon, L.-S. (2015). Convergence of consumer hygiene awareness on coffee smell, price, and shops, customer satisfaction, and repurchases. Journal of Distribution Science, 13(12), 23-31. https://doi.org/https://doi.org/10.15722/jds.13.12.201512.23

27.

Lamai, G. H., Thavorn, J., Klongthong, W., & Ngamkroeckjoti, C. (2020). Critical factors influencing revisit intention of large restaurant chains in Myanmar. Journal of Distribution Science, 18(12), 31-43. https://doi.org/https://doi.org/10.15722/jds.18.12.202012.31

28.

Lawless, H. T., & Heymann, H. (2010). Physiological and psychological foundations of sensory function. In H. T. Lawless & H. Heymann (Eds.), Sensory evaluation of food: principles and practices (pp. 19-56). New York, United States: Springer. https://doi.org/10.1007/978-1-4419-6488-5_2

29.

Lee, H., Jin, Y., & Shin, H. (2018). Cosmopolitanism and ethical consumption: An extended theory of planned behavior and modeling for fair trade coffee consumers in South Korea. Sustainable Development, 26(6), 822-834. https://doi.org/https://doi.org/10.1002/sd.1851

30.

Maehle, N., Iversen, N., Hem, L., & Otnes, C. (2015). Exploring consumer preferences for hedonic and utilitarian food attributes. British Food Journal, 117(12), 3039-3063. https://doi.org/10.1108/BFJ-04-2015-0148

31.

Manzo, J. (2014). Machines, people, and social interaction in “Third-wave” coffeehouses. Journal of Arts and Humanities, 3(8), 1-12. https://doi.org/https://doi.org/10.18533/journal.v3i8.527

32.

Mokhlis, S., Nik, H. N. S., Nizam, N. Z., Mohd, N. N. A., & Muslim, N. A. (2021). Predicting Malaysian university students’ intent to pursue retailing career: Applicability of theory of planned behavior. International Journal of Professional Business Review, 7(1), 1-26. https://doi.org/10.26668/businessreview/2022.v7i1.277

33.

Mundel, J., Huddleston, P., & Vodermeier, M. (2017). An exploratory study of consumers’ perceptions: What are affordable luxuries? Journal of Retailing and Consumer Services, 35(1), 68-75. https://doi.org/10.1016/j.jretconser.2016.12.004

34.

Nicholls, J. A. F. (1997). Time and companionship: key factors in Hispanic shopping behavior. Journal of Consumer Marketing, 14(3), 194-205. https://doi.org/10.1108/07363769710166783

35.

O’brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41(5), 673-690. https://doi.org/10.1007/s11135-006-9018-6

36.

Polsripradist, P., Tantayaporn, K., & Homchampa, P. (2016). Caffeine consumption behaviors of the working-age population in rural communities in northeastern Thailand. Journal of the Medical Association of Thailand, 99(7), 839-851.

37.

Samoggia, A., & Rezzaghi, T. (2021). The consumption of caffeine-containing products to enhance sports performance: An application of an extended model of the theory of planned behavior. Nutrients, 13(2). https://doi.org/10.3390/nu13020344

38.

Samoggia, A., & Riedel, B. (2018). Coffee consumption and purchasing behavior review: Insights for further research. Appetite, 129(1), 70-81. https://doi.org/https://doi.org/10.1016/j.appet.2018.07.002

39.

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach (7th ed.). New York, United States: John Wiley & Sons.

40.

Serra, S., Lemos, K. M., & Matins, M. S. (2021). The influence of the board of directors and the auditor in the disclosure of derivative financial instruments: Evidence on Portuguese capital market. International Journal of Professional Business Review, 7(1), 1-28. https://doi.org/10.26668/businessreview/2022.v7i1.240

41.

Shannon, R., & Mandhachitara, R. (2008). Causal path modeling of grocery shopping in hypermarkets. Journal of Product & Brand Management, 17(5), 327-340. https://doi.org/10.1108/10610420810896086

42.

Shinozaki, Y., & Harada, Y. (2014). Rapid detection of bacteria in green tea using a novel pretreatment method in a bioluminescence assay. Journal of Food Protection, 77(6), 941-947. https://doi.org/10.4315/0362-028X.JFP-13-418

43.

Smith, N., Suthitakon, N., Gulthawatvichai, T., & Karnjanakit, S. (2019). Creating a coffee tourism network in the north of Thailand. Local Economy, 34(7), 718-729. https://doi.org/10.1177/0269094219893272

44.

Vegro, C. L. R., & Almeida, D. L. F. (2020). Chapter 1 - Global coffee market: Socio-economic and cultural dynamics. Sawston, United Kingdom: Woodhead Publishing.

45.

Verhoef, P. C. (2003). Understanding the effect of customer relationship management efforts on customer retention and customer share development. Journal of Marketing, 67(4), 30-45. https://doi.org/10.1509/jmkg.67.4.30.18685

46.

Wang, E. S. T., & Yu, J.-R. (2016). Effect of product attribute beliefs of ready-to-drink coffee beverages on consumer-perceived value and repurchase intention. British Food Journal, 118(12), 2963-2980. https://doi.org/10.1108/BFJ-03-2016-0128

47.

Wesely, P. M. (2011). Foundations of mixed methods research: Integrating quantitative and qualitative approaches in the social and behavioral sciences. The Modern Language Journal, 95(1), 152-153. https://doi.org/https://doi.org/10.1111/j.1540-4781.2011. 01158.x

48.

Woodside, A. G., & Walser, M. G. (2007). Building strong brands in retailing. Journal of Business Research, 60(1), 1-10. https://doi.org/https://doi.org/10.1016/j.jbusres.2006.09.009

49.

Yu, Z., Klongthong, W., Thavorn, J., & Ngamkroeckjoti, C. (2021). Understanding rural Chinese consumers’ behavior: A stimulus–organism–response (S-O-R) perspective on Huawei’s brand loyalty in China. Cogent Business & Management, 8(1), 1-20. https://doi.org/10.1080/23311975.2021.1880679

50.

Zikmund, W. G., Carr, J. C., Babin, B., & Griffin, M. (2013). Business research methods (9th ed.). Nashville, United States: South-Western Publishing.

51.

Zoellner, J., Estabrooks, P. A., Davy, B. M., Chen, Y.-C., & You, W. (2012). Exploring the theory of planned behavior to explain sugar-sweetened beverage consumption. Journal of Nutrition Education and Behavior, 44(2), 172-177. https://doi.org/https://doi.org/10.1016/j.jneb.2011.06.010

52.

Zoellner, J., Krzeski, E., Harden, S., Cook, E., Allen, K., & Estabrooks, P. A. (2012). Qualitative application of the theory of planned behavior to understand beverage consumption behaviors among adults. Journal of the Academy of Nutrition and Dietetics, 112(11), 1774-1784. https://doi.org/https://doi.org/10.1016/j.jand.2012.06.368

The Journal of Distribution Science