Abstract
The agri-food organizations evolution, and its inherent need for well supported decision making, has led to an increase on the integration of IT/IS into their business and operational processes. With this in mind, an analysis was performed to the use of systems designed to support business decisions, thus allowing to acknowledge that there was none that answered to the needs inherent to organization from the mushroom production sector. This led to the definition and implementation of a DSS system, with the necessary features and qualities, which would help the mentioned activity sector needs. This DSS was designed and tested in a real environment through the implementation of a case study within a eatable mushrooms production company named “Sousacamp Group”. With the implementation of the proposed DSS, the referred business group has reported an increased in their performance levels and decision making accuracy.
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References
Argote, L., Miron-Spektor, E.: Organizational learning: From experience to knowledge. Organization Science 22(5), 1123–1137 (2011)
Brynjolfsson, E., Hitt, L., Kim, H.: Strength in Numbers: How does data-driven decision-making affect firm performance? Paper presented at the International Conference on Information Systems (ICIS), Shangai (2011)
Canuto, S., Branco, F.-., Goncalves, R., Cunha, J., Neto, M.: ICT management in the agro-industry. Paper presented at the 2011 6th Iberian Conference on Information Systems and Technologies, CISTI (2011)
Castells, M.: The rise of the network society: The information age: Economy, Society, and Culture, vol. 1. John Wiley & Sons (2011)
Chen, H., Chiang, R., Storey, V.: Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly 36(4), 1165–1188 (2012)
Costa, S., Santos, M.: Sistema de Business Intelligence no suporte à Gestão Estratégica, CAPSI (2012)
Courtney, J.: Decision making and knowledge management in inquiring organizations: toward a new decision-making paradigm for DSS. Decision Support Systems 31(1), 17–38 (2001), http://dx.doi.org/10.1016/S0167-9236
Eastwood, C., Chapman, D., Paine, M.: Networks of practice for co-construction of agricultural decision support systems: Case studies of precision dairy farms in Australia. Agricultural Systems 108, 10–18 (2012), http://dx.doi.org/10.1016/j.agsy.2011.12.005
Elbeltagi, I., McBride, N., Hardaker, G.: Evaluating the factors affecting DSS usage by senior managers in local authorities in Egypt. Journal of Global Information Management (JGIM) 13(2), 42–65 (2005)
Fink, A., Kliewer, N., Mattfeld, D., Mönch, L., Rothlauf, F., Schryen, G., . . . Voß, S.: Model-Based Decision Support in Manufacturing and Service Networks. Business & Information Systems Engineering 6(1), 17–24 (2014), doi:10.1007/s12599-013-0310-4
Foss, N., Husted, K., Michailova, S.: Governing knowledge sharing in organizations: Levels of analysis, governance mechanisms, and research directions. Journal of Management Studies 47(3), 455–482 (2010)
Gangadharan, G., Swami, S.: Business intelligence systems: design and implementation strategies. Paper presented at the 26th International Conference on Information Technology Interfaces (2004)
Gonçalves, R., Martins, J., Pereira, J., Oliveira, M., Ferreira, J.: Enterprise Web Accessibility Levels Amongst the Forbes 250: Where Art Thou O Virtuous Leader? Journal of Business Ethics 113(2), 363–375 (2013), doi:10.1007/s10551-012-1309-3
Köpp, C., von Mettenheim, H., Breitner, M.: Decision Analytics with Heatmap Visualization for Multi-step Ensemble Data. Business & Information Systems Engineering 6(3), 131–140 (2014), doi:10.1007/s12599-014-0326-4
Lee, K., Seo, Y., Lee, K., Lee, D.: The impact of ubiquitous decision support systems on decision quality through individual absorptive capacity and perceived usefulness. Online Information Review 37(1), 101–113 (2013), doi:10.1108/14684521311311658
Malinowski, E., Zimányi, E.: Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications. Springer (2010)
Mangina, E., Vlachos, I.: The changing role of information technology in food and beverage logistics management: beverage network optimisation using intelligent agent technology. Journal of Food Engineering 70(3), 403–420 (2005), http://dx.doi.org/10.1016/j.jfoodeng.2004.02.044
Manyika, J., Chui, M., Brown, C., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.: Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Quarterly. McKinsey Global Institute (2011)
March, S., Hevner, A.: Integrated decision support systems: A data warehousing perspective. Decision Support Systems 43(3), 1031–1043 (2007), http://dx.doi.org/10.1016/j.dss.2005.05.029
McBratney, A., Whelan, B., Ancev, T., Bouma, J.: Future Directions of Precision Agriculture. Precision Agriculture 6(1), 7–23. doi: 10.1007/s11119-005-0681-8 (2005)
McMeekin, T., Baranyi, J., Bowman, J., Dalgaard, P., Kirk, M., Ross, T., Zwietering, M.: Information systems in food safety management. International Journal of Food Microbiology 112(3), 181–194 (2006)
Nikkilä, R., Seilonen, I., Koskinen, K.: Software architecture for farm management information systems in precision agriculture. Computers and Electronics in Agriculture 70(2), 328–336 (2010), http://dx.doi.org/10.1016/j.compag.2009.08.013
Olszak, C.M., Ziemba, E.: Approach to Building and Implementing Business Intelligence Systems. Interdisciplinary Journal of Information, Knowledge & Management 2 (2007)
Schiefer, G.: New technologies and their impact on the agri-food sector: an economists view. Computers and Electronics in Agriculture 43(2), 163–172 (2004), http://dx.doi.org/10.1016/j.compag.2003.12.002
Shim, J., Warkentin, M., Courtney, J., Power, D., Sharda, R., Carlsson, C.: Past, present, and future of decision support technology. Decision Support Systems 33(2), 111–126 (2002), http://dx.doi.org/10.1016/S0167-9236(01)00139-7
Suroso, A., Ramadhan, A.: Decision Support System for Agribusiness Investment as e-Government Service Using Computable General Equilibrium Model. Paper presented at the 2nd International Congress on Computer Applications and Computational Science (2012)
Van der Spiegel, M., Sterrenburg, P., Haasnoot, W., van der Fels-Klerx, H.: Towards a decision support system for control of multiple food safety hazards in raw milk production. Trends in Food Science & Technology 34(2), 137–145 (2013)
vom Brocke, J., Sonnenberg, C., Simons, A.: Value-oriented Information Systems Design: The Concept of Potentials Modeling and its Application to Service-oriented Architectures. Business & Information Systems Engineering 1(3), 223–233 (2009), doi:10.1007/s12599-009-0046-3
Wulf, W., Zarnekow, R.: Cross-sector competition in telecommunications. Business & Information Systems Engineering 3(5), 289–298 (2011)
Zhang, N., Wang, M., Wang, N.: Precision agriculture—a worldwide overview. Computers and Electronics in Agriculture 36(2-3), 113–132 (2002), http://dx.doi.org/10.1016/S0168-1699
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Branco, F., Gonçalves, R., Martins, J., Cota, M.P. (2015). Decision Support System for the Agri-food Sector – The Sousacamp Group Case. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-319-16486-1_54
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DOI: https://doi.org/10.1007/978-3-319-16486-1_54
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