Purpose: With the emergence of high technology in China, online shopping distribution of fresh agricultural products have been developing rapidly. This study built a model to investigate how perceived quality of products and logistic services, perceived risk, and perceived cost affect intention to buy fresh agricultural products in an Internet environment. Especially, in the purchasing process, attitude may work as an important mediator. Research design, data and methodology: To achieve the objectives of this study, Chinese respondents were asked to fill in a questionnaire through the China online survey website. With 520 available data, regression analysis was used to test the hypotheses. Results: Results indicate that perceived quality of fresh agriculture products and perceived logistics service quality have a significant positive impact on attitude and purchase intention. Results also reveal that perceived risk and perceived cost affect attitude and purchase intention negatively. Finally, results imply that attitude has a positive effect on purchase intention, which is the unique mediator in the online shopping process. Conclusions: This study suggests that managers in the online shopping distributions of fresh agricultural products should improve the quality of products and logistics services along with the reduction of the perceived risk and cost to compete in the China market.
Abdul-Muhmin, A. G. (2010). Repeat purchase intentions in online shopping: The role of satisfaction, attitude, and online retailers’ performance. Journal of International Consumer Marketing, 23(1), 5-20.https://doi/org/10.1080/08961530.2011.524571
Ahumada, O., Villalobos, J. R., & Mason, A. N. (2012). Tactical planning of the production and distribution of fresh agricultural products under uncertainty. Agricultural Systems,112, 17-26. https://doi.org/10.1016/j.agsy.2012.06.002
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Process, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. New Jersey: Prentice-Hall.
Al-Rafee, S., & Cronan, T. P. (2006). Digital piracy: Factors that influence attitude toward behavior. Journal of Business Ethics,63(3), 237-259. https://doi.org/10.1007/s10551-005-1902-9
Amchang, C., & Song, S-H. (2018). Designing a distribution network for faster delivery of online retailing: A case study in Bangkok, Thailand. International Journal of Industrial Distribution & Business, 9(5), 25-35.
Anwar, A., Thongpapanl, N., & Ashraf, A. R. (2020). Strategic imperatives of mobile commerce in developing countries: the influence of consumer innovativeness, ubiquity, perceived value, risk, and cost on usage. Journal of Strategic Marketing,1-21. https://doi.org/10.1080/0965254X.2020.1786847
Ariffin, S. K., Mohan, T., & Goh, Y. N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12(3),309-327. https://doi.org/10.1108/JRIM-11-2017-0100/full/html
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research:Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182. https://doi.org/10.1037//0022-3514.51.6.1173
Basha, M. B., Mason, C., Shamsudin, M. F., Hussain, H. I., & Salem M. A. (2015). Consumers’ attitudes towards organic food. Procedia Economics and Finance, 31, 444-452. https://doi.org/10.1016/S2212-5671(15)01219-8
Bauer, R. A. (1960). Consumer behavior as risk-taking. In R. S. Hancock (Ed.), Dynamic Marketing for a Changing World. Chicago: American Marketing Association.
Bettman, J. R. (1973). Perceived risk and its components: A model and empirical test. Journal of Marketing Research, 10(2), 184-190. https://www.jstor.org/stable/3149824
Che, T., Peng, Z., Lim, K. H., & Hua, Z. (2015). Antecedents of consumers’ intention to revisit an online group-buying website:A transaction cost perspective. Information & Management,52(5), 588-598. https://doi.org/10.1016/j.im.2015.04.004
Chen, L. D., & Tan, J. (2004). Technology adaptation in Ecommerce: Key determinants of virtual stores acceptance. European Management Journal, 22(1), 74-86.
Chung, J. E., Yu, J. P., & Pysarchik, D. T. (2006). Cue utilization to assess food product quality: A comparison of consumers and retailers in India. International Review of Retail, Distribution and Consumer Research, 16(2), 199-214. https://doi.org/10.1080/09593960600572233
Chung, J. H., & Huang, S. H. (2016). A study on the effects of selection attributes for agricultural products on using local food store. Journal of Distribution Science, 14(4), 117-125.https://doi.org/10.15722/jds.14.4.201604.117
CNNIC. (2020). The 45th Statistical Report on Internet Development in China. Online information, retrieved 16/07/2020, https://tech.sina.com.cn/zt_d/cnnic45/.
Cox, D. F., & Rich, S. U. (1964). Perceived risk and consumer decision-making: The case of telephone shopping. Journal of Marketing Research, 1(4), 32-39. https://doi.org/10.22495/rgcv4i4c1art4
Crespo, A. H., del Bosque, I. R., & Sanchez, M. M. G. de los S.(2009). The influence of perceived risk on Internet shopping behavior: A multidimensional perspective. Journal of Risk Research, 12(2), 259-277. https://doi.org/10.1080/13669870802497744
Crosby, P. B. (1979). Quality is free: The art of making quality certain. In A. Parasuraman, V. A. Zeithaml, & L. L. Berry (eds)., A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50. http://www.jstor.org/stable/1251430
Dai, W., & Lee, J-H. (2018). Effects of website characteristics and delivery service quality on repurchase intention. International Journal of Industrial Distribution & Business, 9(5), 17-24.http://dx.doi.org/10.13106/ijidb.2018.vol9.no5.17
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307-319. https://www.jstor.org/stable/3172866
Dowling, G. R. (1986). Perceived risk: The concept and its measurement. Psychology & Marketing, 3(3), 193-210.https://doi.org/10.1002/mar.4220030307
Eiser, J. R., Miles, S., & Frewer, L. J. (2002). Trust, perceived risk, and attitude toward food technologies. Journal of Applied Social Psychology, 32(11), 2423-2433.https://doi.org/10.1111/j.1559-1816.2002.tb01871.x
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474. https://doi.org/10.1016/S1071-5819(03)00111-3
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley. In B. Hasan (2010). Exploring gender differences in online shopping attitude. Computers in Human Behavior, 26(4), 597-601. https://doi.org/10.1016/j.chb.2009.12.012
Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. New York:Psychology Press.
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56(11), 867-875.https://doi.org/10.1016/S0148-2963(01)00273-9
Gao, Z., Kim, H. H., & Sim, J. (2020). Research on influencing factors of consumer behavior of fresh agricultural products Ecommence in China. Journal of Digital Convergence, 18(6),167-175. https://doi.org/10.14400/JDC.2020.18.6.167
Gu, W., Bao, P., & Lee, J. H. (2019). A study on the continuance intention of O2O fresh agricultural products E-commerce. International Journal of Industrial Distribution & Business, 10(10), 35-44. https://doi.org/10.131016/ijidb.2019.vol10.no10.35
Hair, J. F., Jr., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis. Upper Saddle River. New Jersey: Pearson Education.
Hasan, B. (2010). Exploring gender differences in online shopping attitude. Computers in Human Behavior, 26(4), 597-601.https://doi.org/10.1016/j.chb.2009.12.012
iResearch. (2020). Report on Fresh E-commerce Industry in China. Online information, retrieved 16/07/2020, http://report.iresearch.cn/report_pdf.aspx?id=3620.
Jayawardhena, C. (2004). Personal values’ influence on eshopping attitude and behavior. Internet Research, 14(2), 127-138.
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36. https://doi.org/10.1108/10662240410530844
Kesharwani, A., & Bisht, S. S. (2011). The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30(4), 303-322. https://doi.org/10.1108/02652321211236923
Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers’ emotion, perceived risk and purchase intention. Journal of Research in Interactive Marketing, 7(1), 33-56. htttps://doi.org/10.1108/17505931311316734
Kim, P. J., Kim, M. S., Kim, W., Mehyaoui, O., & Youn, M. K.(2014). Effects on the consumer buying behavior of an agricultural brand in South Korea. International Journal of Industrial Distribution & Business, 5(2), 21-28.
Kim, P. J., & Lee, J.Y. (2016). A study on the effects of perceived quality on whitening cosmetics’ satisfaction and repurchase:Focused on university students. East Asian Journal of Business Management, 6(2), 15-22.https://doi.org/10.13106/eajbm.2016.vol6.no2.15.
Kuo, Y-F., Wu, C-M., & Deng, W-J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added service. Computer in Human Behavior, 25(4), 887-896.
Lee, K. K., Ahn, S-H., Kim, H. D., & Youn, M. K. (2014). Effects of the flow of an Internet shopping mall upon revisit intention and purchase intention. East Asian Journal of Business Management, 4(4), 27-38.
Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141.https://doi.org/10.1016/j.elerap.2008.11.006
Lee, S-J., & Dai, J. (2015). Use intentions of mobile tour Apps through expansion of the Technology Acceptance Model. Journal of Distribution Science, 13(10), 135-142.
Liska, A. E. (1984). A critical examination of the causal structure of the Fishbein/Ajzen attitude-behavior model. Social Psychology Quarterly, 47(1), 61-74. https://doi.org/10.2307/3033889
Liu, J., & Ke, X. (2012). Improvement in logistics of fresh agricultural products. Journal of System and Management Sciences, 2(2), 36-45.
Nguyen, O. T. (2020). Factors affecting the intention to use digital banking in Vietnam. Journal of Asian Finance, Economics and Business, 7(3), 303-310.
Nunnally, J. C. (1967). Psychometric theory. In Gilbert A. Churchill, Jr. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64-73. https://www.jstor.org/stable/3150876
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50. https://doi.org/10.2307/1251430
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
Park, J., Lennon, S. J., & Stoel, L. (2005). On-line product presentation: Effects on mood, perceived risk, and purchase intention. Psychology & Marketing, 22(9), 695-719. https://doi.org/10.1002/mar.20080
Petty, R. E., Wegener, D. T., & Fabrigar, L. R. (1997). Attitudes and attitude change. Annual Review Psychology, 48(1), 609-647. https://doi.org/10.1146/annurev.psych.48.1.609
Rong, A., Akkerman, R., & Grunow, M. (2011). An optimization approach for managing fresh food quality throughout the supply chain. International Journal of Production Economics, 131(1), 421-429. https://EconPapers.repec.org/RePEc:eee:proeco:v:131:y:2011:i:1:p:421-429
Rosillo-Diaz, E., Blanco-Encomienda, F. J., & Crespo-Almendros,E. (2019). A cross-cultural analysis of perceived product quality, perceived risk and purchase intention in e-commence platforms. Journal of Enterprise Information Management,33(1), 139-160. https://doi.org/10.1108/JEIM-06-2019-0150
Steenkamp, J. B. E. M. (1990). Conceptual model of the quality perception process. Journal of Business Research, 21(4), 309-333. https://EconPapers.repec.org/RePEc:eee:jbrese:v:21:y:1990:i:4:p:309-333
Tham, K. W., Dastane, O., Johari, Z., & Ismail, N. B. (2019). Perceived risk factors affecting consumers’ online shopping behaviour. Journal of Asian Finance, Economics and Business, 6(4), 249-260.https://doi.org/10.13106/jafeb.2019.vol6.no4.249
Tran, V. D. (2020). The relationship among product risk, perceived satisfaction and purchase intentions for online shopping. Journal of Asian Finance, Economics and Business, 7(6), 221-231. https://doi.org/10.13106/jafeb.2020.vol7.no6.221
Truong, T. H., & Nguyen, X. T. (2020). Factors affecting organic food purchasing decisions of kindergartens in Ho Chi Minh City. Journal of Distribution Science, 18(7), 73-81.https://doi.org/10.15722/jds.18.7.202007.73
Tsiotsou, R. (2006). The role of perceived product quality and overall satisfaction on purchase intention. International Journal of Consumer Studies, 30(2), 207-217.https://doi.org/10.1111/j.1470-6431.2005.00477.x
Verhallen, T. M. M., & Pieters, R. G. M. (1984). Attitude theory and behavioral costs. Journal of Economic Psychology, 5(3), 223-249. https://doi.org/10.1016/01674870(84)90024-2
Wang, E. S. T. (2013). The influence of visual packaging design on perceived food product quality, value, and brand preference. International Journal of Retail & Distribution Management,41(10), 805-816. https://doi.org/10.1108/IJRDM-12-2012-0113
Wells, J. D., Valacich, J. S., & Hess, T. J. (2011). What signal are you sending? How website quality influences perceptions of product quality and purchase intentions. MIS Quarterly, 35(2), 373-396. https://doi.org/10.2307/23044048
Widodo, K. H., Nagasawa, H., Morizawa, K., & Ota, M. (2006). A periodical flowering-harvesting model for delivering agricultural fresh products. European Journal of Operational Research, 170(1), 24-43.https://doi.org/10.1016/j.ejor.2004.05.024
Won, J., & Kim, B-Y. (2020). The effect of consumer motivations on purchase intention of online fashion-sharing platform. Journal of Asian Finance, Economics and Business, 7(6), 197-207. https://doi.org/10.13106/jafeb.2020.vol7.no6.197
Wu, L. Y., Chen, K. Y., Chen, P. Y., & Cheng, S. L. (2014). Perceived value, transaction cost, and repurchase-intention in online shopping: A relational exchange perspective. Journal of Business Research, 67(1), 2768-2776.https://doi.org/10.1016/j.jbusres.2012.09.007
Wu, S. I. (2003). The relationship between consumer characteristics and attitude toward online shopping. Marketing Intelligence & Planning, 21(1), 37-44. https://doi.org/10.1I0811l263450031 O458135J 0
Yan, B., Chen, X., Cai, C., & Guan, S. (2020). Supply chain coordination of fresh agricultural products based on consumer behavior. Computers and Operation Research, 123, 1-9.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22.https://doi.org/10.1177/002224298805200302
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31-46. https://doi.org/10.1177/002224299606000203
Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: A critical review of extant knowledge. Journal of the Academy of Marketing Science,30(4), 362-375. https://doi.org/10.1177/009207002236911