IDEAS home Printed from https://ideas.repec.org/a/rom/rmcimn/v13y2012i1p117-129.html
   My bibliography  Save this article

Designing an Integrated AHP based Fuzzy Expert System and SWOT Analysis to Prioritize Development Strategies of Iran Agriculture

Author

Listed:
  • Hamidreza SALMANI MOJAVERI

    (Islamic Azad University, Tehran, Iran)

  • Hamed FAZLOLLAHTABAR

    (Mszandaran University of Science and Technology, Babol, Iran)

Abstract

In spite of successful research on new agricultural practices concerning crop cultivation, the majority of farmers is not getting upper-bound yield due to several reasons. One of the reasons is that expert/scientific advice regarding crop cultivation is not reaching farming community in a timely manner. It is true that we possess a valuable agricultural knowledge and expertise. However, a wide information gap exists between the research level and practice. Farmers need timely expert advice to make them more productive and competitive. In this paper, we made an effort to present a solution to bridge the information gap by exploiting advances in Information Technology (IT). It is interesting to notice a major difference between developed countries and developing countries, serves as a distinguished representative, in their roadmaps to agriculture modernization to developing counties. IT assists to achieve agricultural mechanization efficiently and intelligently. We proposed a framework of strategic plan based on SWOT analysis using IT in Agriculture.

Suggested Citation

  • Hamidreza SALMANI MOJAVERI & Hamed FAZLOLLAHTABAR, 2012. "Designing an Integrated AHP based Fuzzy Expert System and SWOT Analysis to Prioritize Development Strategies of Iran Agriculture," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 117-129, March.
    • Handle: RePEc:rom:rmcimn:v:13:y:2012:i:1:p:117-129
    as

    Download full text from publisher

    File URL: https://www.rmci.ase.ro/no13vol1/13.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kurttila, Mikko & Pesonen, Mauno & Kangas, Jyrki & Kajanus, Miika, 2000. "Utilizing the analytic hierarchy process (AHP) in SWOT analysis -- a hybrid method and its application to a forest-certification case," Forest Policy and Economics, Elsevier, vol. 1(1), pages 41-52, May.
    2. Masozera, Michel K. & Alavalapati, Janaki R.R. & Jacobson, Susan K. & Shrestha, Ram K., 2006. "Assessing the suitability of community-based management for the Nyungwe Forest Reserve, Rwanda," Forest Policy and Economics, Elsevier, vol. 8(2), pages 206-216, March.
    3. Dyson, Robert G., 2004. "Strategic development and SWOT analysis at the University of Warwick," European Journal of Operational Research, Elsevier, vol. 152(3), pages 631-640, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dwivedi, Puneet & Alavalapati, Janaki R.R., 2009. "Stakeholders' perceptions on forest biomass-based bioenergy development in the southern US," Energy Policy, Elsevier, vol. 37(5), pages 1999-2007, May.
    2. Haque, H.M. Enamul & Dhakal, Shobhakar & Mostafa, S.M.G., 2020. "An assessment of opportunities and challenges for cross-border electricity trade for Bangladesh using SWOT-AHP approach," Energy Policy, Elsevier, vol. 137(C).
    3. Darshini, Dina & Dwivedi, Puneet & Glenk, Klaus, 2013. "Capturing stakeholders´ views on oil palm-based biofuel and biomass utilisation in Malaysia," Energy Policy, Elsevier, vol. 62(C), pages 1128-1137.
    4. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    5. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    6. Grošelj, Petra & Hodges, Donald G. & Zadnik Stirn, Lidija, 2016. "Participatory and multi-criteria analysis for forest (ecosystem) management: A case study of Pohorje, Slovenia," Forest Policy and Economics, Elsevier, vol. 71(C), pages 80-86.
    7. Sepehr Ghazinoory & Mansoureh Abdi & Mandana Azadegan-Mehr, 2010. "Swot Methodology: A State-of-the-Art Review for the Past, A Framework for the Future," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 12(1), pages 24-48, November.
    8. Zelin Liu & Xiyan Duan & Hongling Cheng & Zhaoran Liu & Ping Li & Yang Zhang, 2023. "Empowering High-Quality Development of the Chinese Sports Education Market in Light of the “Double Reduction” Policy: A Hybrid SWOT-AHP Analysis," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    9. Tahseen, Samiha & Karney, Bryan, 2017. "Opportunities for increased hydropower diversion at Niagara: An sSWOT analysis," Renewable Energy, Elsevier, vol. 101(C), pages 757-770.
    10. Phadermrod, Boonyarat & Crowder, Richard M. & Wills, Gary B., 2019. "Importance-Performance Analysis based SWOT analysis," International Journal of Information Management, Elsevier, vol. 44(C), pages 194-203.
    11. Živan Živković & Djordje Nikolić & Marija Savić & Predrag Djordjević & Ivan Mihajlović, 2017. "Prioritizing Strategic Goals in Higher Education Organizations by Using a SWOT–PROMETHEE/GAIA–GDSS Model," Group Decision and Negotiation, Springer, vol. 26(4), pages 829-846, July.
    12. Catron, Jonathan & Stainback, G. Andrew & Dwivedi, Puneet & Lhotka, John M., 2013. "Bioenergy development in Kentucky: A SWOT-ANP analysis," Forest Policy and Economics, Elsevier, vol. 28(C), pages 38-43.
    13. Kajanus, Miika & Leskinen, Pekka & Kurttila, Mikko & Kangas, Jyrki, 2012. "Making use of MCDS methods in SWOT analysis—Lessons learnt in strategic natural resources management," Forest Policy and Economics, Elsevier, vol. 20(C), pages 1-9.
    14. Li, Chengjiang & Negnevitsky, Michael & Wang, Xiaolin, 2020. "Prospective assessment of methanol vehicles in China using FANP-SWOT analysis," Transport Policy, Elsevier, vol. 96(C), pages 60-75.
    15. Collins Okello & Stefania Pindozzi & Salvatore Faugno & Lorenzo Boccia, 2014. "Appraising Bioenergy Alternatives in Uganda Using Strengths, Weaknesses, Opportunities and Threats (SWOT)-Analytical Hierarchy Process (AHP) and a Desirability Functions Approach," Energies, MDPI, vol. 7(3), pages 1-22, February.
    16. Uddin, Mohammad Nizam & Hossain, Mohammad Mosharraf & Chen, Yong & Siriwong, Wapakorn & Boonyanuphap, Jaruntorn, 2019. "Stakeholders' perception on indigenous community-based management of village common forests in Chittagong hill tracts, Bangladesh," Forest Policy and Economics, Elsevier, vol. 100(C), pages 102-112.
    17. Silvia Novelli & Monica Vercelli & Chiara Ferracini, 2021. "An Easy Mixed-Method Analysis Tool to Support Rural Development Strategy Decision-Making for Beekeeping," Land, MDPI, vol. 10(7), pages 1-17, June.
    18. Mohammad Taleai & Ali Mansourian & Ali Sharifi, 2009. "Surveying general prospects and challenges of GIS implementation in developing countries: a SWOT–AHP approach," Journal of Geographical Systems, Springer, vol. 11(3), pages 291-310, September.
    19. Malik, M.M. & Abdallah, S. & Hussain, M., 2016. "Assessing supplier environmental performance: Applying Analytical Hierarchical Process in the United Arab Emirates healthcare chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1313-1321.
    20. Büyüközkan, Gülçin & Mukul, Esin & Kongar, Elif, 2021. "Health tourism strategy selection via SWOT analysis and integrated hesitant fuzzy linguistic AHP-MABAC approach," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).

    More about this item

    Keywords

    information technology; agriculture; strategic implementation; SWOT analysis.;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rom:rmcimn:v:13:y:2012:i:1:p:117-129. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marian Nastase (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.