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Planning the priority of high tech industries based on SWARA-WASPAS methodology: The case of the nanotechnology industry in Iran

Author

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  • Mohammad Reza Ghorshi Nezhad
  • Sarfaraz Hashemkhani Zolfani
  • Fathollah Moztarzadeh
  • Edmundas Kazimieras Zavadskas
  • Mohsen Bahrami

Abstract

Decision-making and planning at the top level is highly complicated. One important duty of each government and of policy makers is planning at different levels for future problems. This research addresses such a concern. Planning for the future is the aim of this research. Moreover, the importance of the topic is discussed. The case study focused on is the nanotechnology industry and its development in Iran. Nanotechnology is one of the main and strategic industries in Iran. The important criteria for such a development are determined based on a literature review and the experiences from other countries. The different alternatives are selected based on the different applications of nanotechnology in other industries. The alternatives are: agriculture, transportation, construction, oil and gas, textile products, food industry, defence industry, health and medicine, nano electronics, nano energy and environment and water. The methodology employed is Multiple Criteria Decision Making (MCDM). In addition, SWARA-WASPAS is the hybrid MADM model employed in which SWARA is applied to evaluate the criteria and WASPAS is utilised to evaluate and rank the alternatives.

Suggested Citation

  • Mohammad Reza Ghorshi Nezhad & Sarfaraz Hashemkhani Zolfani & Fathollah Moztarzadeh & Edmundas Kazimieras Zavadskas & Mohsen Bahrami, 2015. "Planning the priority of high tech industries based on SWARA-WASPAS methodology: The case of the nanotechnology industry in Iran," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 28(1), pages 1111-1137, January.
    • Handle: RePEc:taf:reroxx:v:28:y:2015:i:1:p:1111-1137
    DOI: 10.1080/1331677X.2015.1102404
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    Cited by:

    1. Madjid Tavana & Mehdi Soltanifar & Francisco J. Santos-Arteaga, 2023. "Analytical hierarchy process: revolution and evolution," Annals of Operations Research, Springer, vol. 326(2), pages 879-907, July.
    2. Bouraima, Mouhamed Bayane & Qiu, Yanjun & Stević, Željko & Simić, Vladimir, 2023. "Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).

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