VOlUME 05 ISSUE 03 MARCH 2022
1Vu Hoang Linh, 2Phan Duc Hieu, 3Nguyen Ngoc Minh Chau, 4Nguyen Duc Thang, 5Trinh Quynh Anh
1Ph.D., Department of Marketing, Faculty of Marketing, National Economics University, Hanoi, Vietnam
2,3,4,5National Economics University, Hanoi, Vietnam
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Abstract
The application of e-commerce platforms for retailing agricultural products has been increasingly adopted for several benefits namely market expansion and connection, brand establishment, price improvement as well as the motivation for farmers to actively ameliorate their farming practices, product quality and package. However, this retail method is still lagging far behind in Vietnam - despite the need for digitalization to solve persistent problems, namely the imbalanced supply, demand and accompanied price loss in the traditional distribution channel. Thus, this research aims to investigate the factors that impact the Vietnamese farmers’ intention to adopt e-commerce platforms for fresh produce retail. The paper applies the integrated Technology Acceptance Model and Technology-Organization-Environment framework. Through an online survey, a sample of 344 farmers who produced fruits and vegetables across Vietnam was drawn to confirm the hypotheses of this study. The results showed that there are positive relationships between three factors “Perceived usefulness” (PU), “Perceived Ease of use” (PEOU) and “Intention to Adopt” (INT). Among the variables, technological context (TC) is positively associated with both PU and PEOU, and organizational context (OC) impacts PU positively. Moreover, the environmental context (EC) is shown to positively influence the intention to adopt e-commerce platforms for fresh produce retail. Findings are valuable to the development of e-commerce platforms and policies to promote Vietnamese farmers’ intention of using e-commerce platforms to retail agricultural products.
Keywordsfarmer, e-commerce platforms, fresh produce, retail, structural equation model, technology acceptance model (TAM), technology-organization-environment framework (TOE)
REFERENCES
1) Aboelmaged, M. 2014, Predicting e-readiness at firm-level: an analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms, International Journal of Information Management: The Journal for Information Professionals, vol. 34, no. 5, pp. 639-651.
2) Arbuckle, J. L. 2014, Amos (Version 23.0) [Computer Program], Chicago: IBM SPSS.
3) Awa, H. O., Ojiabo, O. U., & Emecheta, B. C. 2015, Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs, Journal of Science & Technology Policy Management, vol 6, no. 1, pp. 76–94.
4) Awa, H. O., Ojiabo, O. U., & Orokor, L. E. 2017, Integrated technology - organization - environment (T-O-E) taxonomies for technology adoption, Journal of Enterprise Information Management, vol 30, no. 6, pp. 893–921.
5) Baourakis, G., Kourgiantakis, M., & Migdalas, A. 2002, The impact of e‐commerce on agro‐food marketing: The case of agricultural cooperatives, firms and consumers in Crete, British Food Journal, vol. 104, no. 8, pp. 580-590.
6) Chen, L., & Tan, J. 2004, Technology adaptation in e-commerce: key determinants of virtual stores acceptance, European Management Journal, Vol. 22 No. 1, pp. 74-86.
7) Cronbach, L. J., & Shavelson, R. J. 2004, My Current Thoughts on Coefficient Alpha and Successor Procedures, Educational and Psychological Measurement, vol 64, no. 3, pp. 391–418.
8) Davis, F. 1989, Perceived usefulness, perceived ease of use and user acceptance of information technology, MIS Quarterly, vol 13, no. 2, pp. 319-340.
9) Duy, V. 2021, Đưa 5 triệu hộ sản xuất nông nghiệp lên sàn là đột phá trong kinh tế số, Vietnamnet, 2021.
10) Enders, A., & Jelassi, T. 2000, The converging business models of Internet and bricks-and-mortar retailers, European Management Journal, vol 18, pp. 542-550.
11) Gangwar, H., Date, H., & Ramaswamy, R. 2015, Understanding determinants of cloud computing adoption using an integrated TAM-TOE model, Journal of Enterprise Information Management, vol 28, no. 1, pp. 107–130.
12) Gefen, D., Straub, D. W., & Boudreau, M. C. 2000, Structural Equation Modeling and Regression: Guidelines for Research Practice, Communications of the Association for Information Systems, vol 4, no. 7, pp. 170.
13) Giampietri, E., & Trestini, S. 2020, Analysing farmers’ intention to adopt web marketing under a technology-organisation-environment perspective: A case study in Italy, Agricultural Economics (Zemědělská Ekonomika), vol 66, no. 5, pp. 226–233.
14) Google, Temasek, Bain & Company 2021, EConomy SEA.
15) Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. 2010, Multivariate Data Analysis: A Global Perspective.
16) Hong, W., & Zhu, K. 2016, Migrating to internet-based e-commerce: factors affecting e-commerce adoption and migration at the firm level, Information & Management, vol. 43 no. 2, pp. 204-21.
17) Hu, L. T., & Bentler, P. M. 1999, Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives, Structural Equation Modeling, vol 6, pp. 1-55.
18) Huong, D. T., Ngoc, L. T. M. & Mai, N. P. 2020, Intergrating TAM and TOE Models in Researching Social Media Adoption in Businesses in Vietnam, VNU Journal of Science: Economics and Business, vol 36, no. 1, pp. 86–95.
19) Iacovou, C. L., Benbasat, I., & Dexter, A. S. 1995, Electronic Data Interchange and Small Organizations: Adoption and Impact of Technology, MIS Quarterly, vol 19, no. 4, pp. 465–485.
20) Ifinedo, P. 2011, Internet/e‐business technologies acceptance in Canada’s SMEs: An exploratory investigation, Internet Research, vol 21, no. 3, 2011, pp. 255–281.
21) James, J., and Kenechi, O. 2019, E-commerce in agriculture: new business models for smallholders’ inclusion into the formal economy.
22) Kamath, R. R., & Liker, J. K. 1994, A second look at Japanese product development, Harvard Business Review, vol 72, no. 6, pp. 154–170.
23) Karim, M. T., & Qi, X. 2021, From physical to virtual store: Factors that spur Bangladeshi manufacturers/retailers to introduce multi-channel retailing, Journal of Asia Business Studies, vol 15, no. 2, pp. 240–256.
24) Liu, M., Min, S., Ma, W., & Liu, T. 2021, The adoption and impact of E-commerce in rural China: Application of an endogenous switching regression model, Journal of Rural Studies, vol 83, pp. 106–116.
25) Anh, N. L. 2021, Minister Le Minh Hoan: Connecting agricultural products is connecting people.
26) North American Industry Classification System (NAICS) Canada 2012, Retail trade 2012, no. 44-45.
27) Oliveira, T., & Martins, M. F. 2011, Literature Review of Information Technology Adoption Models at Firm Level, The Electronic Journal Information Systems Evaluation, vol. 14, Iss. 1, pp. 110-121.
28) Vietnam General Statistic 2022, Press release socio-economic situation in the fourth quarter and 2021.
29) Tornatzky, L. G., & Fleischer, M. 1990, The processes of technological innovation.
30) World Bank 2008, “World Development Report: Agriculture for Development”, The World Bank Group.