An ERP implementation on a beekeeping and honey value chain

a decentralized and digital approach




Enterprise Resource Planning, Decentralized Decision-Making Process, Value Chain, Beekeeping, Honey, Cooperative, Cloud technologies


Goal: This research represents a case study on the selection and implementation of ERP systems in the beekeeping and honey production sector, developing a decentralized and digital system accessible to every stakeholder in a cooperative based in the province of Buenos Aires, Argentina.

Methodology: The work develops an in-depth analysis of the beekeeping activities and how farmers participate and interact with the cooperative. This enables to distinguish the main features and specifications that an ERP system must have to give proper support to the business functions within the cooperative.

Results: This implementation made it possible to make the production process more flexible, improve the traceability of production batches, and reduce costs in the business operation.

Limitations: To generalize the results, other experiences from similar organizations should be incorporated. In addition, it would be convenient to reassess the situation when the implementation is fully developed, since this article presents the implementation of essential and critic modules for the operation of the organization.

Practical implications: A special feature of this study is that the organization is structured as a cooperative, then each producer is a stakeholder in the system meaning that the decision-making processes are decentralized and transparent to each stakeholder.

Originality: This study represents a novel development in using cloud and digital technologies to leverage and foster horizontal organizations such as cooperatives. Digitalization enables to share the information and decisions made by each of the stakeholders, something that strengthens the main purpose of cooperatives. As far as we know, there are no previous studies on developing ERP systems for an agricultural cooperative.


Download data is not yet available.


Ali, M. and Miller, L. (2017). “ERP system implementation in large enterprises–a systematic literature review”. Journal of Enterprise Information Management.

Annosi, M.C., Brunetta, F., Monti, A. and Nati, F. (2019), “Is the trend your friend? An analysis of technology 4.0 investment decisions in agricultural SMEs”, Computers in Industry, 109, pp. 59-71.

Alva, J. and Rojas, J. (2022), “Improving rural livestock farmers' competitiveness through the livelihoods approach”, Brazilian Journal of Operations & Production Management, Vol. 19, No. 2, pp. 1-8.

Belaud, J.P., Prioux, N., Vialle, C. and Sablayrolles, C. (2019), “Big data for agri-food 4.0: Application to sustainability management for by-products supply chain”, Computers in Industry, 111, pp. 41-50.

Bhatia, M. and Bhat, G. M. J. (2020), “Agriculture supply chain management-an operational perspective”, Brazilian Journal of Operations & Production Management, Vol. 17, No. 4, pp. 1-18.

Bjelland, E. and Haddara, M. (2018), “Evolution of ERP systems in the cloud: A study on system updates”, Systems, Vol. 6, No. 2, 22, 2018.

Boshkoska, B.M., Liu, S., Zhao, G., Fernandez, A., Gamboa, S., Del Pino, M. and Chen, H. (2019), “A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains”, Computers in Industry, 110, pp. 64-80.

Bueno, A., Filho, M.G., Carvalho, J.V., Callefi, M. (2022), “Smart Production Planning and Control Model. In: Mesquita, A., Abreu, A., Carvalho, J.V. (eds), “Perspectives and Trends in Education and Technology”, Smart Innovation, Systems and Technologies, Vol. 256. Springer, Singapore. 5063-5_21

Bueno, A., Godinho Filho, M. and Frank, A. G. (2020), “Smart production planning and control in the Industry 4.0 context: A systematic literature review”, Computers & Industrial Engineering, 149, 106774. Cooperativa de Trabajo Apícola Pampero Limitada. Documentos y procedimientos internos.

Costa, C. J., Ferreira, E., Bento, F. and Aparicio, M. (2016), “Enterprise resource planning adoption and satisfaction determinants”, Computers in Human Behavior, 63, pp. 659-671.

Diamo. “ERPNext”. Retrieved January 10, 2021 from

Holistor, SA. Holistor Gestión ERP. Retrieved August 11, 2018 from Jaque Software. JAQUE Gestión Comercial. Retrieved August 10, 2018

Junior, A. N., Martens, M. L., & de Oliveira, M. C. (2018). ERP implementation project in a brewing manufacturer: the Quality Attribute as a performance Differential. Brazilian Journal of Operations & Production Management, 15(4), 517-527.

Junior, C.H., Oliveira, T. and Yanaze, M. (2019a), “The adoption stages (Evaluation, Adoption, and Routinisation) of ERP systems with business analytics functionality in the context of farms”, Computers and electronics in agriculture, 156, pp. 334-348.

Junior, C.H., Oliveira, T., Yanaze, M. and Spers, E.E. (2019b), “Performance, farmer perception, and the routinisation (RO) moderation on ERP post-implementation”, Heliyon, Vol. 5, No. 6, e01784.

Júnior, C.H., Spers, E.E., Oliveira, T. and 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, Vol. 23, No. 4, pp. 515-527.

Kulikov, I., Semin, A., Skvortsov, E., Ziablitckaia, N. and Skvortsova, E. (2020), “Challenges of enterprise resource planning (ERP) implementation in agriculture”, Entrepreneurship and Sustainability Issues, Vol. 3, No. 7, pp. 1847-1857.

Meirelles, F.D.S. (2022), “Uso da TI-Tecnologia de Informação nas Empresas”, Pesquisa Anual do FGVcia. FGV- EAESP: Centro de Tecnologia de Informação Aplicada.

Panetto, H., Lezoche, M., Hormazabal, J.E.H., Diaz, M.D.M.E.A. and Kacprzyk, J. (2020), “Special issue on Agri-Food 4.0 and digitalization in agriculture supply chains-New directions, challenges and applications”, Computers in Industry, 116, 103188.

Patalas-Maliszewska, J. and Kłos, S. (2019), “The methodology of the S-ERP system employment for small and medium manufacturing companies”, IFAC-PapersOnLine, Vol. 52, No. 10, pp. 85-90.

SAP. “SAP S/4HANA Cloud”. Retrieved August 11, 2018 from

SENASA. Abejas. Retrieved February 15, 2021 from

Schlichter, J., Klyver, K. and Haug, A. (2021), “The moderating effect of ERP system complexity on the growth–profitability relationship in young SMEs”, Journal of Small Business Management, Vol. 59, No. 4, pp. 601-626.

Shukor, S.A., Sheikhi, A.I.D.A., Husna, A. and Nashir, M. (2020), “Enterprise resource planning (ERP) adaptation in Malaysia agricultural SME: issues and trends”, J. Theor. Appl. Inf. Technol., Vol. 98, No. 12, pp. 2046-2062.

Tavana, M., Hajipour, V. and Oveisi, S. (2020), “IoT-based enterprise resource planning: Challenges, open issues, applications, architecture, and future research directions”, Internet of Things, 11, 100262.

Verdouw, C.N., Robbemond, R.M. and Wolfert, J. (2015), “ERP in agriculture: Lessons learned from the Dutch horticulture”, Computers and Electronics in Agriculture, 114, pp. 125-133.

Vollman, T.E., Berry, W.L., Whydbark, D.C., Jacobs, F.R. (2005), “Manufacturing planning and control for supply chain management”. 5 ed. México: McGraw- Hill Interamericana).

Wei, C.C., Chien, C.F. and Wang, M.J.J , “An AHP-based approach to ERP system selection”. International Journal Of Production Economic.




How to Cite

Ojeda, J. M., Rossit, D. A., & Toncovich, A. A. (2023). An ERP implementation on a beekeeping and honey value chain: a decentralized and digital approach. Brazilian Journal of Operations & Production Management, 20(4), 1550 .



Research paper