DETUROPE - The Central European Journal of Regional Development and Tourism 2012, 4(1):76-90 | DOI: 10.32725/det.2012.006

MODEL INFORMACIONOG SISTEMA ZA UPRAVLJANJE FARMOM: STUDIJA SLUČAJA FARME U NEMAČKOJ SA DIVERZIFIKOVANOM PROIZVODNJOM

Christoph Husemann, Nebojsa Novković, Natasa Vukelić
University of Novi Sad, Faculty of Agriculture, Trg Dositeja Obradovića 8, 21000 Novi Sad, Serbia

Više od šest decenija širom sveta istraživači, naučnici i poljoprivredni savetodavci pokušavali su da implementiraju model informacionog sistema u poljoprivrednoj proizvodnji. Osim toga, i dan danas njihov uspeh je prilično limitiran. Nemačka, takođe, nije izuzetak. Međutim, nemački farmeri u poslednje vreme sve više shvataju značaj modela informacionog sistema za upravljanje farmom. Razlozi koji su tome doprineli su brzo nastale promene u okruženju, uključujući tu i sve težu situaciju na tržištu, kao i sve veće izlaganje finansijskim rizicima.
Model informacionog sistema za upravljanje farmom (MISF) je jedno od veoma moćnih sredstava koji mogu da se izbore sa novo nastalim uslovima. Sa druge strane, farmeri se još uvek u velikoj meri oslanjaju na sopstvenu intuiciju kada je u pitanju upravljanje farmom, umesto da koriste neki od savremenih menadžmerskih sredstava.
Cilj ovoga rada je da da pregled i objašnjenje zašto modeliranje još uvek nije našlo svoju široku primenu u poljoprivrednoj proizvodnji u meri u kojoj to zaslužuje. Rad ima za cilj da demonstrira kako bi MISF trebalo da bude implementiran i šta poljoprivredni proizvođači i/ili poljoprivredni savetodavci treba da uzmu u obzir prilikom implementacije istog. U ovoj studiji slučaja izabrana je farma srednje veličine sa diverzifikovanom proizvodnjom u Severnoj Rajni - Vestafiliji. Pristup ove studije slučaja omogućava rešavanje raznih potencijalnih problema kada je u pitanju implementacija MISF.

Keywords: Informacioni sistem upravljanja farmom, modeliranje, Nemačka farma

The Model of Farm Management Information System: A Case-Study of Diversified German Farm

For more than six decades researchers, scholars and agricultural advisors have tried to implement modeling and information systems in the farming sector through out the world. Until today however, their success has been rather limited. Thereby, Germany is no exception. This is true, allthough a sophisticated farm management is more important for German farmers than ever before. The fast changing envitronment, including difficult market conditions and a high exposure to financial risks are major reasons. Farm Management Information Systems (FMIS) appear to be a powerful tool to deal with the new conditions. However, farmers still rely more on their intuition than on proper management tools, when it comes to running a farm business. The objective of this paper is to give an brief overview why modeling has not had its breakthrough in the farming sector so far. Secondly, it aims on demonstrating how a FMIS should be implemented and what farmers or agriculture advisors have to consider during its implementation. Therefore, a medium-size diversified farm in North Rhine-Westphalia (Germany) was selected as a research subject for a descriptive case-study. This approach supports a treatment of various potential problems when it comes to the implementation of a FMIS.

Keywords: Farm Management Information System, Modeling, German Farm

Published: March 31, 2012  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Husemann, C., Novković, N., & Vukelić, N. (2012). The Model of Farm Management Information System: A Case-Study of Diversified German Farm. DETUROPE - The Central European Journal of Regional Development and Tourism, 4(1), 76-90. doi: 10.32725/det.2012.006
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. © Statistisches Bundesamt, W. (2012, January 17). Statistisches Bundesamt Deutschland - GENESIS-Online. Text. Retrieved January 17, 2012, from https://www-genesis.destatis.de/
    2. Arrow. (1993). I know a hawk from a handsaw. In M. Szenberg (Ed.), Eminent Economists: Their Life Philosophies. Cambridge University Press.
    3. Berg, E., Schmitz, B., Starp, M., & Trenkel, H. (2005). Weather derivatives a risk management tool in agriculture. German Journal of Agricultural Economics, 54(3). Retrieved from http://ideas.repec.org/a/ags/gjagec/97213.html
    4. Bokelmann, W., Hirschauer, N., Nagel, U. J., & Odening, M. (1996). Landwirtschaftliche Beratung in Brandenburg. Eine Evaluierung erster Erfahrungen. Weikersheim: Margraf.
    5. Doyle, C. J. (1990). Application of systems theory to farm planning and control: modelling resource allocation. In J. G. W. Jones, P. R. Street, & C. R. W. Spedding (Eds.), Systems theory applied to agriculture and the food chain. Springer.
    6. Drollette, S. (2008, March). Managing Financial Risk in Agriculture. Utah State University, Department of Applied Economics.
    7. Forster, R. (2002). Methodische Grundlagen und praktische Entwicklung eines Systems zur Planung dispositiver Arbeiten in landwirtschaftlichen Unternehmen. Text.PhDThesis. Retrieved March 24, 2012, from http://deposit.ddb.de/cgi-bin/dokserv?idn=965172260
    8. Gerring, J. (2004). "What Is a Case Study and What Is It Good For?" American Political Science Review, 98(2), 341-354. Go to original source...
    9. Glauben, T., Tietje, H., & Weiss, C. (2006). Agriculture on the move: Exploring regional differences in farm exit rates in Western Germany. Jahrbuch für Regionalwissenschaft, 26(1), 103-118. doi:10.1007/s10037-004-0062-1 Go to original source...
    10. Makeham, J. P. (1971). Farm management economics. Armidale, New South Wales: Gill Publications.
    11. Malcom, L. R. (1990). Fifty years of farm management in Australia: survey and revie. Review of Marketing and Agricultural Economics, 58(1).
    12. McCown, R. L., & Parton, K. A. (2006). Learning from the historical failure of farm management models to aid management practice. Part 2. Three systems approaches. Australian Journal of Agricultural Research, 57(2), 157. doi:10.1071/AR05052 Go to original source...
    13. Mußhoff, O., & Hirschauer, N. (2006). Die Rehabilitation von Optimierungsverfahren? - Eine Analyse des Anbauverhaltens ausgewählter Brandenburger Marktfruchtbetriebe. In E. Bahrs, S. von Cramon-Taubadel, A. Spiller, L. Theuvsen, & M. Zeller (Eds.), Unternehmen im Agrarbereich vor neuen Herausforderungen, Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues (GeWiSoLa) (Vol. 41, pp. 495-505). Münster-Hiltrup: andwirtschaftsverlag GmbH.
    14. Nause, G. (2003). Zur Entwicklung der in den landwirtschaftlichen Betrieben Deutschlands beschäftigten Arbeitskräfte 1991 bis 2001. Statistisches Bundesamt, Wirtschaft und Statistik, 301-313.
    15. Pannell, D. J. (1996). Lessons from a Decade of Whole-Farm Modeling in Western Australia. Review of Agricultural Economics, 18(3), 373-383. doi:10.2307/1349622 Go to original source...
    16. Sorensen, J. T., & Kristensen, E. S. (1992). Systemic modelling: A research methodology in livestock farming. In A. Gibon & B. Matheron) (Eds.), Global appraisal of livestock farming systems and study on their organisational levels: concept, methodology and results: proceedings of a symposium (pp. 45-57). Toulose, France: Commission of European Communities.
    17. Weiss, C., & Thiele, H. (2002). Diversifikation und Wachstum landwirtschaftlicher Unternehmen, 51(3), 156-163.

    This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content