An integrative framework to driver innovation among dairy actors




value co-creation, business-to-business, dairy production, data science, innovation


Objective of the study: We aim to propose, and test an integrative framework for actors’ orchestration in the dairy sector based on a data science perspective to drive innovation.

Methodology/Approach: To achieve this aim, a systematic literature review and content analysis were conducted, then, an integrative framework was developed and empirically tested. Subsequently, incremental adjustments in the framework’s data structure were performed based on the interviews conducted through the focus group were taken into consideration. Increasing the framework assertiveness and adaptability in different contexts.

Originality/Relevance: The article delves into the world of dairy production, focusing on the key players in the milk and its derivatives sector. It emphasizes the crucial role of data in driving innovation and value co-creation among these actors. By collecting and displaying the relevant data, each player can unlock new opportunities for growth and collaboration within the value chain. The data science principle forms the bedrock of this process, as it enables a deeper understanding of the data flow and facilitates effective information-sharing across the right value chain actors.

Main results: A framework that encompasses key data that can be shared among actors, to foster information exchange and long-term relationships, promoting transparency in the process, which raises a sense of trustworthiness, responsibility, and innovation.

Theoretical/Methodological contributions: The study involves the development of an integrative framework that is constructed based on insights gathered from the systematic literature review and content analysis. This framework serves as a comprehensive and cohesive structure for understanding the utilization of data flow to connect stakeholders in the dairy sector. It highlights the key elements necessary for successful actors' relationships and outlines the potential impact on value co-creation and the generation of valuable information. Empirical contributions are made through the testing and validation of this framework with a diverse range of stakeholders in the dairy sector. Through focus groups involving multiple players within the industry, valuable insights are gathered, and the framework is tested. The empirical findings validate the applicability and effectiveness of the framework, ensuring its practicality and relevance.

Social/management contributions: The framework elevates the knowledge level about the dairy sector and its practices among stakeholders. It amplifies the potential for innovation within the sector, serves as a guiding tool that encourages stakeholders to explore new avenues for enhancing the customer experience. The social and management contributions are evident in its ability to empower stakeholders with knowledge, inspire innovation, and elevate the overall customer experience in the dairy sector.


Download data is not yet available.

Author Biographies

Andrei Bonamigo, Fluminense Federal University –UFF. Volta Redonda, RJ

Doctor in Production Engineering

Ana Carolina Custódio Lopes, Fluminense Federal University – UFF. Volta Redonda, RJ

Undergraduate student in Production Engineering

Lucas Ferreira Mendes, Fluminense Federal University – UFF. Volta Redonda, RJ

Bachelor in Industrial Engineering

Herlandí de Souza Andrade, University of São Paulo – USP. Lorena, SP

Doctor in Sciences. 

César Augustus Winck, Alto Vale do Rio do Peixe University – UNIARP. Caçador, SC

Doctor in Agribusiness. 


Aarikka-Stenroos, L., Sandberg, B., & Lehtimäki, T. (2014). Networks for the commercialization of innovations: A review of how divergent network actors contribute. Industrial Marketing Management, 43(3):365-381.

Achchuthan, M. S., & Kajananthan, R. (2012). A Study on Value Chain Analysis in Dairy Sector Kilinochchi District, Srilanka. Global journal of management and business research, 12(21):1-15.

Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE communications surveys & tutorials, 17(4), 2347-2376.

Annanperä, E., Liukkunen, K., & Markkula, J. (2015). Innovation in evolving business ecosystem: A case study of information technology-based future health and exercise service. International Journal of Innovation and Technology Management, 12(04), 1550015.

Asmara, A., Purnamadewi, Y., & Lubis, D. (2017). The relationship analysis between service performances of milk producer cooperative with the dairy farm performance of members. Media Peternakan, 40(2), 143-150.

Bánkuti, F. I., & Caldas, M. M. (2018). Geographical milk redistribution in Paraná State, Brazil: Consequences of institutional and market changes. Journal of Rural Studies, 64, 63-72.

Bardin, L. J. S. P. E. (2011). Content analysis. 70(279).

Berente, N., Vandenbosch, B., & Aubert, B. J. (2009). Information flows and business process integration. Business Process Management Journal, 15(1), 119-141.

Berge, A., Baars, T. J. E., & Infection. (2020). Raw milk producers with high levels of hygiene and safety. Epidemiology & Infection, 148(1), 1-7.

Berry, L. Parasuraman (1991). Marketing Services: Competing through quality. New York.

Berry, L. L. (1983). Relationship Marketing. Emerging Perspectives on Service Marketing/eds. LL Berry, GL Shostack, GD Upah.

Bittencourt, B. A., dos Santos, D. A. G., & Mignoni, J. (2021). Resource orchestration in innovation ecosystems: a comparative study between innovation ecosystems at different stages of development. International Journal of Innovation, 9(1), 108-130.

Bonamigo, A., da Silva, A. A., da Silva, B. P., & Werner, S. M. (2022). Criteria for selecting actors for the value co-creation in startups. Journal of Business & Industrial Marketing, 37(11), 2332-2343.

Bonamigo, A., Frech, C. G., & Lopes, A. C. C. (2021). Value co-creation in the B2B context: a diagnosis of knowledge management based on multiple case studies. Journal of Business & Industrial Marketing, 37(7), 1449-1462.

Bonamigo, A. (2017a). A management model for dairy production based on the ecosystem business concept. Universidade Federal de Santa Catarina, Doctoral Thesis. (UFSC). Florianópolis.

Bonamigo, A., Dettmann, B., Frech, C. G., & Werner, S. M. (2020). Facilitators and inhibitors of value co-creation in the industrial services environment. Journal of Service Theory and Practice, 30(6), 609-642.

Bonamigo, A., Ferenhof, H. A., Forcellini, F. A. (2016). Dairy production diagnosis in Santa Catarina, Brazil, from the perspective of business ecosystem. British Food Journal, 118(9), 2086-2096.

Bonamigo, A., Ferenhof, H. A., Forcellini, F. A. J. O. R., & Agroindustriais. (2017). Dairy Ecosystem Barriers Exposed - A Case Study In A Family Production Unit At Western Santa Catarina, Brazil. 19(1). 10.21714/2238-68902017v19n1p001

Bonamigo, A., Ferenhof Helio, A., Tezza, R., & Forcellini Fernando, A. (2018). Dairy production barriers diagnosis in Southern Brazil. British Food Journal, 120(3), 690-702.

Boniface, B., Gyau, A., Stringer, R. J. & Logistics. (2012). Linking price satisfaction and business performance in Malaysia's dairy industry. Asia Pacific Journal of Marketing and Logistics, (24), 288-304.

Borota, F. R. D., Bonamigo, A., & de Souza Andrade, H. (2023). Implications of value co-creation in agro-industrial services. International Journal of Innovation, 11(1), 22014.

Botaro, B. G., Gameiro, A. H., & Santos, M. V. d. (2013a). Quality based payment program and milk quality in dairy cooperatives of Southern Brazil: an econometric analysis. Scientia Agricola, 70(1), 21-26.

Boyt, T., & Harvey, M. (1997). Classification of industrial services: A model with strategic implications. Industrial Marketing Management, 26(4), 291-300.

Bresciani, S., Ciampi, F., Meli, F., & Ferraris, A. (2021). Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda. International Journal of Information Management, 60, 102347.

Byrne, N. (2022). Understanding co-operative identity through relationality. Journal of Co-operative Organization and Management, 10(1), 100169.

Cavusgil, S.T., Calantone, R.J. & Zhao, Y. (2003). Tacit knowledge transfer and firm innovation capability. Journal of Business & Industrial Marketing, Vol. 18 No. 1, pp. 6-21.

Chaudhuri, A., Dukovska-Popovska, I., Subramanian, N., Chan, H. K., & Bai, R. J. (2018). Decision-making in cold chain logistics using data analytics: a literature review. The International Journal of Logistics Management, 29: 839-861.

Chesbrough, H. (2010). Business model innovation: opportunities and barriers. Long range planning, 43(2-3), 354-363.

Chokanat, P., Pitakaso, R., & Sethanan, K. J. A. (2019). Methodology to Solve a Special Case of the Vehicle Routing Problem: A Case Study in the Raw Milk Transportation System. AgriEngineering, 1: 75-93.

Dantas, V. V., Oaigen, R. P., dos Santos, M. A. S., Godoy, B. S., da Silva, F., Corrêa, R. P., . . . Marques, C. S. (2016). Characteristics of cattle breeders and dairy production in the southeastern and northeastern mesoregions of Pará state, Brazil. Semina: Ciências Agrárias, 37(3), 1475-1488.

Dhanaraj, C., & Parkhe, A. (2006). Orchestrating innovation networks. Academy of management review, 31(3), 659-669.

Dilger, M. G., Konter, M., Voigt, K. (2017). Introducing a co-operative-specific business model: The poles of profit and community and their impact on organizational models of energy co-operatives. Journal of Co-operative Organization and Management, 5(1), 28-38.

de Freitas Nascimento, S., Lima, M. C., & Gondim, I. J. C. (2022). Level of collaboration and knowledge transfer among actors of the innovation ecosystem: the proposition of an analytical model. International Journal of Innovation: IJI Journal, 10(3), 434-460.

dos Santos, C. A. F., & Zen, A. C. (2022). Value creation and capture in innovation ecosystems. International Journal of Innovation, 10(3), 483-503.

Santos, C. V., Martins, R. S., & Teixeira, S. R. (1999). Leite longa vida no Brasil: alterações da rede logística e expansão do mercado. ENCONTRO DA ANPAD, 23.

Eggert, A., & Helm, S. J. I. M. M. (2003). Exploring the impact of relationship transparency on business relationships: A cross-sectional study among purchasing managers in Germany. Industrial Marketing Management, 32(2), 101-108.

Faisal, M. N. (2010). Sustainable supply chains: a study of interaction among the enablers. Business Process Management Journal.

Fank, J., Knies, C., Diermeyer, F. J. M. T., & Interaction. (2021). Analysis of a Human-Machine Interface for Cooperative Truck Overtaking Maneuvers on Freeways: Increase Success Rate and Assess Driving Behavior during System Failures. Multimodal Technologies and Interacion, 5(11), 69.

Faria, V. T., Andrade, A. A., Santos, J. P., Facó, J. F. B., & Gasi, F. (2020). Measuring The Impacts of Database Processing Utilization in Innovation Processes On Companies. International journal of development research, 10, 34190-34194.

Ferenhof, H. A., Bonamigo, A., Rosa, L. G., & Vieira, T. C. (2022). Theoretical B2B knowledge management framework focused on value co-creation. VINE Journal of Information and Knowledge Management Systems. ahead-of-print.

Ferenhof, H. A., Bonamigo, A., Cunha, A. D., Tezza, R., & Forcellini, F. A. (2019). Relationship between barriers and key factors of dairy production in Santa Catarina, Brazil. British Food Journal, 121(2), 304-319.

Ferenhof, H. A., & Fernandes, R. F. J. R. A. (2016). Demystifying the literature review as a basis for scientific writing: SSF method. 21(3), 550-563.

Fernqvist, F., Spendrup, S., & Ekelund, L. (2015). Changing consumer intake of potato, a focus group study. British Food Journal, 117, 210-221.

Galstyan, S. H., & Harutyunyan, T. L. (2016). Barriers and facilitators of HACCP adoption in the Armenian dairy industry. British Food Journal, 118(11), 2676-2691.

Ghosh, A. K., & Maharjan, K. L. (2004). Development of Dairy Cooperative and Its Impacts on Milk Production and Household Income: A Study on Bangladesh Milk Producers’ Cooperative Union Limited. Journal of International Development and Cooperation, 10(2), 193-208.

Gorton, M., Angell, R., Dries, L., Urutyan, V., Jackson, E., & White, J. (2015). Power, buyer trustworthiness and supplier performance: Evidence from the Armenian dairy sector. Industrial Marketing Management, 50, 69-77.

Hecker, A. (2012). Knowledge beyond the individual? Making sense of a notion of collective knowledge in organization theory. Organization studies, 33(3), 423-445.

Hunt, S. D., Arnett, D. B., & Madhavaram, S. (2006). The explanatory foundations of relationship marketing theory. Journal of business & industrial marketing. 21, 72-78.

Jayashankar, P., Nilakanta, S., Johnston, W. J., Gill, P., & Burres, R. (2018). IoT adoption in agriculture: the role of trust, perceived value and risk. Journal of Business & Industrial Marketing, 33: 804-821.

Jesson, J., Matheson, L., & Lacey, F. M. (2011). Doing your literature review: Traditional and systematic techniques. London, Sage Publications

Junior, A. C. D. O. C., Profeta, R. A., & Hanai-Yoshida, V. M. (2022). Relationship between organizational culture and business innovation in micro and small enterprises. International Journal of Innovation, 10(4), 579-609.

Kamberelis, G., & Dimitriadis, G. (2013). Focus groups. London: Routledge.

Kashyap, A., & Agrawal, R. (2019). Academia a new knowledge supplier to the industry! Uncovering barriers in the process. Journal of Advances in Management Research.16: 715-733.

Kitzinger, J. (1994). The methodology of focus groups: the importance of interaction between research participants. Sociology of health & illness, 16(1): 103-121.

Kraleva, R., Kralev, V., & Sinyagina, N. J. (2018). Design and Analysis of a Relational Database for Behavioral Experiments Data Processing. International Journal of Online Engineering, 14(2): 117-132.

Kumar, A., Staal, S. J., & Singh, D. K. (2011). Smallholder dairy farmers’ access to modern milk marketing chains in India. Agricultural Economics Research Review, 24(347-2016-16969), 243-254.

Kumar, N., Tyagi, M., & Sachdeva, A. (2021). Depiction of possible solutions to improve the cold supply chain performance system. Journal of Advances in Management Research.

Lopes, M. A., Lima, A. L. R., Carvalho, F. D. M., Reis, R. P., Santos, I. C., & Saraiva, F. H. (2005). Resultados econômicos de sistemas de produção de leite com diferentes níveis tecnológicos na região de Lavras, MG. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 57, 485-493.

Luning, P. A., & Marcelis, W. J. (2007). A conceptual model of food quality management functions based on a techno-managerial approach. Trends in Food Science and Technology, 18(3): 159-166.

Maaz, M. A. M., & Ahmad, R. (2022). Impact of supply chain performance on organizational performance mediated by customer satisfaction: a study of dairy industry. Business Process Management Journal.

Manzini, R., & Accorsi, R. (2013). The new conceptual framework for food supply chain assessment. Journal of food engineering, 115(2), 251-263.

Mariotti, F., & Haider, S. (2018). ‘Networks of practice’in the Italian motorsport industry. Technology Analysis & Strategic Management, 30(3): 351-362.

Mathur, B., Gupta, S., Meena, M. L., & Dangayach, G. S. (2018). Healthcare supply chain management: literature review and some issues. Journal of Advances in Management Research.

Mazzarol, T., Limnios, E. M., & Reboud, S. (2013). Co-operatives as a strategic network of small firms: Case studies from Australian and French co-operatives. Journal of Co-operative Organization and Management, 1(1): 27-40.

Mignoni, J., Bittencourt, B. A., da Silva, S. B., & Zen, A. C. (2021). Orchestrators of innovation networks in the city level: the case of Pacto Alegre. Innovation & Management Review.

Minh, T. T., & Hjortsø, C. N. (2015). How Institutions Influence SME Innovation and Networking Practices: The Case of Vietnamese Agribusiness. Journal of Small Business Management, 53: 209-228.

Mishra, P., & Eich, M. H. (1992). Join processing in relational databases. ACM Computing Surveys (CSUR), 24(1), 63-113.

Moore, J. (1996). The death of competition: Leadership and strategy. The Age of Business Ecosystems. New York, NY: HarperCollins.

Moore, J. F. J. H. b. r. (1993). Predators and prey: a new ecology of competition. 71(3), 75-86.

Morgan, D. L. (1996). A New Era of Focus Groups View project Basic and Advanced Focus Groups, from Sage View project. Focus Groups Article in Annual Review of Sociology, 22, 129-152.

Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of marketing, 58(3), 20-38.

Mottram, T., Velasco-Garcia, M., Berry, P., Richards, P., Ghesquiere, J., & Masson, L. (2002). Automatic on-line analysis of milk constituents (urea, ketones, enzymes and hormones) using biosensors. Comparative Clinical Pathology, 11(1), 50-58.

Naylor, R. L., & Falcon, W. P. (2010). Food security in an era of economic volatility. Population and development review, 36(4): 693-723.

Newton, J. E., Nettle, R., & Pryce, J. E. (2020). Farming smarter with big data: Insights from the case of Australia's national dairy herd milk recording scheme. Agricultural systems, 181, 102811.

Nurmaganbetova, B. K., Baimbetova, A. B., Dulatbekova, Z. A., & Karatayev, D. D. (2019). Development of agriculture is a crucial factor of economic and social-political stability of our country. Научный журнал «Доклады НАН РК», (3), 126-131.

Okano, M. T., Vendrametto, O., & dos Santos, O. S. (2014). How to improve dairy production in Brazil through indicators for the economic development of milk chain. Modern Economy, 5(6): 663-669.

O’Neill, O., & Bardrick, J. (2015). Trust, trustworthiness and transparency. Brussels: European Foundation Centre.

Onwuegbuzie, A. J., Dickinson, W. B., Leech, N. L., & Zoran, A. G. (2009). A qualitative framework for collecting and analyzing data in focus group research. International journal of qualitative methods, 8(3): 1-21.

Pant, R. R., Prakash, G., & Farooquie, J. A. (2015). A framework for traceability and transparency in the dairy supply chain networks. Procedia-Social and Behavioral Sciences, 189: 385-394.

Patidar, S., Shukla, A. C., & Sukhwani, V. K. (2021). Food supply chain management (FSCM): a structured literature review and future research agenda. Journal of Advances in Management Research, 19: 272-299.

Peltoniemi, M. (2006). Preliminary theoretical framework for the study of business ecosystems [Article]. E:CO Emergence: Complexity and Organization, 8(1): 10-19.

Pigola, A., da Costa, P. R., Mazzieri, M. R., & Scafuto, I. C. J. I. J. o. I. I. J. (2022). Collaborative innovation: a technological perspective. International Journal of Innovation, 10(2): 204-211.

Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big data, 1(1), 51-59.

Poláková, J., Koláčková, G., & Tichá, I. (2015). Business model for Czech agribusiness. Scientia Agriculturae Bohemica, 46(3): 128-136.

Rahm, E., & Do, H. (2000). Data cleaning: Problems and current approaches. IEEE Data Eng. Bull, 23(4): 3-13.

Ramaswamy, V., & Ozcan, K. (2018). What is co-creation? An interactional creation framework and its implications for value creation. Journal of Business Research, 84: 196-205.

Ramaswamy, V. (2011). It's about human experiences… and beyond, to co-creation. Industrial Marketing Management, 40(2): 195-196.

Ramtahalsing, M., Jafari, M., Braaksma, J., Rajabalinejad, M., & van Dongen, L. (2020, June). The System (of Interest) Definitions phase: Key features and challenges in the Dutch Railway system. In 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE) (pp. 000229-000234). IEEE.

Rong-Da Liang, A. (2017). Considering the role of agritourism co-creation from a service-dominant logic perspective. Tourism Management, 61: 354-367.

Rice, J., Liao, T. S., Martin, N., & Galvin, P. (2012). The role of strategic alliances in complementing firm capabilities. Journal of Management and Organization, 18(6): 858-869.

Riemer, K., & Klein, S. (2006). Network management framework. In Managing dynamic networks (pp. 17-66). Springer, Berlin, Heidelberg.

Saeed, K. A., Hwang, Y., & Mun, Y. Y. (2003). Toward an integrative framework for online consumer behavior research: a meta-analysis approach. Journal of Organizational and End User Computing (JOEUC), 15(4): 1-26.

Samad, A., Murdeshwar, P., & Hameed, Z. (2010). High-credibility RFID-based animal data recording system suitable for small-holding rural dairy farmers. Computers and electronics in agriculture, 73(2): 213-218.

Schuetz, C. G., Schausberger, S., & Schrefl, M. (2018). Building an active semantic data warehouse for precision dairy farming. Journal of Organizational Computing and Electronic Commerce, 28(2): 122-141.

Schwetschke, S. and Durugbo, C. (2018), “How firms synergise: understanding motives and management of co-creation for business-

to-business services”, International Journal of Technology Management, 76: 258-284.

Sebayang, K. D. A. (2013). Empowerment the institutional milk cooperation using soft systems methodology. Review of Integrative

Business and Economics Research, 2(2): 449.

Sefeedpari, P., Shokoohi, Z., & Pishgar-Komleh, S. H. (2020). Dynamic energy efficiency assessment of dairy farming system in Iran: Application of window data envelopment analysis. Journal of Cleaner Production, 275: 124178.

Shams, S. R. (2015). Stakeholders’ perceptions and reputational antecedents: A review of stakeholder relationships, reputation and brand positioning. Journal of Advances in Management Research. 12: 314-329.

Shetty, N., Løvendahl, P., Lund, M. S., & Buitenhuis, A. J. (2017). Prediction and validation of residual feed intake and dry matter intake in Danish lactating dairy cows using mid-infrared spectroscopy of milk. Journal of Dairy Science, 100(1): 253-264.

Shingh, S., Kamalvanshi, V., Ghimire, S., & Basyal, S. (2020). Dairy supply chain system based on blockchain technology. Asian J. Econ. Bus. Account, 14: 13-19.

Silva, L. F., & Morello, T. (2021). Is there a trade-off between efficiency and cooperativism? Evidence from Brazilian worker cooperatives. Journal of Co-operative Organization and Management, 9(2): 100136.

Sim, J., & Waterfield, J. (2019). Focus group methodology: some ethical challenges. Quality & Quantity, 53(6): 3003-3022.

Simão, G. L., Wegener, M. K., & Antonialli, L. M. (2022). Competitiveness and capability in the last large remaining Australian dairy cooperative. Journal of Co-operative Organization and Management, 10(1): 100163.

Spohrer, J., Maglio, P. P., Bailey, J., & Gruhl, D. (2007). Steps toward a science of service systems. Computer, 40(1): 71-77.

Steinhoff, L., & Palmatier, R. W. (2021). Commentary: Opportunities and challenges of technology in relationship marketing. Australasian Marketing Journal, 29(2): 111-117.

Susanty, A., Bakhtiar, A., Puspitasari, N. B., Mustika, D. J. I. J. o. P., & Management, P. (2018). Performance analysis and strategic planning of dairy supply chain in Indonesia. International Journal of Productivity and Performance Management, 67: 1435-1462.

Taneja, M., Jalodia, N., Byabazaire, J., Davy, A., & Olariu, C. (2019). SmartHerd management: A microservices‐based fog computing–assisted IoT platform towards data‐driven smart dairy farming. Software: practice and experience, 49(7): 1055-1078.

Tardivo, G., Thrassou, A., Viassone, M., & Serravalle, F. (2017). Value co-creation in the beverage and food industry. British Food Journal.

Trienekens, J. H., Wognum, P. M., Beulens, A. J., & van der Vorst, J. G. (2012). Transparency in complex dynamic food supply chains. Advanced Engineering Informatics, 26(1): 55-65.

Troccoli, I. R., & Altaf, J. G. (2012). Aplicação do modelo da cocriação de valor no agronegócio citrícola paulista. Revista de Política Agrícola, 21(4): 131-146.

Urquhart, M. E., & Viera, O. (2002). A vehicle routing system supporting milk collection. Opsearch, 39(1): 46-54.

Valkokari, K. J. (2015). Business, innovation, and knowledge ecosystems: How they differ and how to survive and thrive within them. Technology Innovation Management Review, 5(8): 17-24.

Verhoosel, J. P. C., Van Bekkum, M., & Van Evert, F. K. (2015). Ontology matching for big data applications in the smart dairy farming domain. CEUR Workshop Proceedings 10th International Workshop on Ontology Matching, OM 2015, October 12, 2015, Bethlehem, PA, United states.

Wang, M. C., Chen, P. C., & Fang, S. C. (2018). A critical view of knowledge networks and innovation performance: The mediation role of firms' knowledge integration capability. Journal of Business Research, 88: 222-233.

Winck, C. A. (2012). Impactos do pagamento pela qualidade na cadeia produtiva do leite na região Oeste de Santa Catarina. Doctoral Thesis. University Federal of Rio Grande do Sul, Porto Alegre.

Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming–a review. Agricultural systems, 153: 69-80.



How to Cite

Bonamigo, A., Lopes, A. C. C., Mendes, L. F., Andrade, H. de S., & Winck, C. A. (2024). An integrative framework to driver innovation among dairy actors. International Journal of Innovation, 12(1), e24025.