Scalable Information Systems for Agribusiness: Developing Farmers’ Digital Capabilities for E-commerce Platform Adoption

Authors

DOI:

https://doi.org/10.4108/eetsis.6068

Keywords:

E-commerce, Agribusiness, Farmers, Digital Capabilities, Mixed Method

Abstract

INTRODUCTION: Digital transformation is considered as challenging yet imperative in Vietnam recently. In agriculture sector, one of the directions to comprehensively pro-mote digital transformation is to encourage and support farmers to promote their agribusiness on e-commerce platforms.

OBJECTIVES: This study aims to exploratorily develop a framework for farmers’ digital capabilities for e-commerce agribusines and empirically examine how the dimensions of such developed framework impact farmers’ adoption of e-commerce platforms for promoting their agriculture products.

METHODS: A mixed method study design is employed. We conduct a literature review of recognized databases and focus group technique to develop a framework for farmers’ digital capabilities for e-commerce agribusiness. Moreover, a field survey is designed to collect empirical data of farmers’ perceptions on adopting e-commerce agribusiness and quantitatively determine how dimensions of farmers’ digital capabilities could impact their adoption of e-commerce platforms. EFA (Exploratory Factor Analysis) and multiple regression are used for data analysis.

RESULTS: Study findings show that the four dimensions of farmers’ digital capabilities for e-commerce agribusiness (Attitude toward e-commerce agribusiness, Basic ICT capabilities, E-commerce digital marketing capabilities, and Digital learning capabilities) positively contribute to their adoption of e-commerce platforms.

CONCLUSION: This study proposes a framework for farmers’ digital capabilities and verifies that the four dimensions of the framework could significantly enhance farmers’ e-commerce platform adoption. We recommend several practical means to boost farmers’ adoption. Future research could apply our proposed framework to examine the formation of farmers’ e-commerce adoption in social platforms and offer solutions to enhanced agribusiness.

References

Chuc, N. D., & Anh, D. T. Digital Transformation in Vietnam. Journal of Southeast Asian Economies, 40(1), 127-144 (2023).

Loi, N. T. N. Digital Agriculture in Viet Nam: Conditions and Prospect of Development. AGRIS on-line Papers in Economics and Informatics, 14(665-2022-999), 43-55 (2022).

Ngo, V. T. The development of smart new-style rural communes in the context of Industry 4.0. Vietnam Trade and Industry Review, 16 (June) (2022). (in Vienamese).

Doanh, N. K., Do Dinh, L., & Quynh, N. N. (2022). Tea farmers’ intention to participate in Livestream sales in Vietnam: The combination of the Technology Acceptance Model (TAM) and barrier factors. Journal of Rural Studies, 94, 408-417.

Su, L., Peng, Y., Kong, R., & Chen, Q. Impact of e-commerce adoption on farmers’ participation in the digital financial market: Evidence from rural china. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1434-1457 (2021).

Song, Y., Wu, W., & Miocevic, D. Farmers' choice between endogenous vs. exogenous e-commerce: alignment with resources and performance goals. British Food Journal, 124(1), 61-77 (2022).

Chao, P. E. N. G., Biao, M. A., & Zhang, C. Poverty alleviation through e-commerce: Village involvement and demonstration policies in rural China. Journal of Integrative Agriculture, 20(4), 998-1011 (2021).

Li, X., Guo, H., Jin, S., Ma, W., & Zeng, Y. Do farmers gain internet dividends from E-commerce adoption? Evidence from China. Food Policy, 101, 102024 (2021).

Ma, W., Zhou, X., & Liu, M. What drives farmers’ willingness to adopt e‐commerce in rural China? The role of Internet use. Agribusiness, 36(1), 159-163 (2020).

Fecke, W., Danne, M., & Musshoff, O. E-commerce in agriculture–The case of crop protection product purchases in a discrete choice experiment. Computers and electronics in agriculture, 151, 126-135 (2018).

Wei, X., & Ruan, J. Influences of Government Policies and Farmers’ Cognition on Farmers’ Participation Willingness and Behaviors in E-Commerce Interest Linkage Mechanisms during Farmer–Enterprise Games. Agriculture, 12(10), 1625 (2022).

Marshall, A., Dezuanni, M., Burgess, J., Thomas, J., & Wilson, C. K. Australian farmers left behind in the digital economy–Insights from the Australian Digital Inclusion Index. Journal of Rural Studies, 80, 195-210 (2020).

Botwood, S. E., Chinomona, R., & Govender, K. K. Industry Performance and Digital Disruption: Unleashing Possibilities for the African Farmer. Journal of Advances in Economics and Finance, 4(3), 99 (2019).

Chen, A. N., Castillo, J., & Ligon, K. Information and communication technologies (ICT): Components, dimensions, and its correlates. Journal of International Technology and Information Management, 24(4), 2 (2015).

Gregory, G. D., Ngo, L. V., & Karavdic, M. Developing e-commerce marketing capabilities and efficiencies for enhanced performance in business-to-business export ventures. Industrial Marketing Management, 78, 146-157 (2019).

Doanh, N., Linh, T. T., & Pham, T. T. L. (2024). Unleashing the power of social media: examining farmers’ adoption for agriculture knowledge exchange. VINE Journal of Information and Knowledge Management Systems. Ahead-of-print.

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, 83, 106-116.

Chen, C., Gan, C., Li, J., & Lu, Y. (2023). Linking farmers to markets: Does cooperative membership facilitate e-commerce adoption and income growth in rural China?. Economic Analysis and Policy, 80, 1155-1170.

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.

Chen, X., Zhang, X. E., & Chen, J. (2024). TAM-Based Study of Farmers’ Live Streaming E-Commerce Adoption Intentions. Agriculture, 14(4), 518.

Schwering, D. S., Sonntag, W. I., & Kühl, S. (2022). Agricultural E-commerce: Attitude segmentation of farmers. Computers and Electronics in Agriculture, 197, 106942.

Nkrumah, S. K., Asamoah, D., Annan, J., & Agyei-Owusu, B. (2021). Examining green capabilities as drivers of green supply chain management adoption. Management Research Review, 44(1), 94-111.

Júnior, C. H., Spers, E. E., Oliveira, T., & Yanaze, M. (2020). Brazilian farmer perception of dynamic capability and performance over the adoption of enterprise resource planning technology. International Food and Agribusiness Management Review, 23(4), 515-527.

Mamonov, S., de Souza Filho, H. M., Vinholis, M. M. B., Carrer, M. J., & Bernardo, R. (2021). Determinants of adoption of integrated systems by cattle farmers in the State of Sao Paulo, Brazil. Agroforestry Systems, 95, 103-117.

Yamane, T. (1973). Statistics: An Introductory Analysis, New York, Harper & Row.

Mamonov, S., & Benbunan-Fich, R. (2021). Unlocking the smart home: exploring key factors affecting the smart lock adoption intention. Information Technology & People, 34(2), 835-861.

Nguyen, H. T. (2022). A comprehensive study on online purchase behavior of agricultural products of Vietnamese consumers through O2O E-commerce-Big Data Technology in O2O E-Commerce logistics business management. NeuroQuantology, 20(10), 1750.

Sun, Y., & Liang, C. (2021). Effects of determinants of dried fruit purchase intention and the related consumer segmentation on e-commerce in China. British Food Journal, 123(3), 1133-1154.

Hair. J. F., R. E. Anderson., R. L. Tatham and W. C. Black. Multivariate Data Analysis. 5th Ed. Prentice-Hall; 1998

Ji, C., Chen, Q., & Zhuo, N. (2020). Enhancing consumer trust in short food supply chains: The case evidence from three agricultural e-commerce companies in China. Journal of Agribusiness in Developing and Emerging Economies, 10(1), 103-116.

Tan, S. (2024). How to interact with consumers to enhance their purchase intention? Evidence from China’s agricultural products live streaming commerce. British Food Journal. Ahead-of-print.

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Published

21-11-2024

How to Cite

1.
Pham TTL, Taherdoost H, Le T-V. Scalable Information Systems for Agribusiness: Developing Farmers’ Digital Capabilities for E-commerce Platform Adoption. EAI Endorsed Scal Inf Syst [Internet]. 2024 Nov. 21 [cited 2024 Dec. 22];12(1). Available from: https://publications.eai.eu/index.php/sis/article/view/6068

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