Matching of technological forecasting technique to a technology using fuzzy multi-attribute decision-making methods: Case study from the aerospace industry

Jalil Heidary Dahooie, Navid Mohammadi, Tugrul Daim, Amir Salar Vanaki and Edmundas Kazimieras Zavadskas

Technology in Society, 2021, vol. 67, issue C

Abstract: Given the accelerating pace of technological advances and environmental changes, technology-based companies are required to predict and understand future events in their environments. However, there is a wide range of forecasting methods creating confusion on which method to use. This paper demonstrates the selection of an appropriate technique for technology forecasting in the Iran Aviation Industries Organization (IAIO). To this end, a review of the literature was first reviewed to extract the proper criteria for selecting a forecasting method. Next, the SWARA and fuzzy MUTLIMOORA methods were used to evaluate and prioritize a total of twelve forecasting methods proposed for the case study. The results suggested that the Delphi method for technology forecasting in the IAIO. Scenario writing and the relevance tree are the next proper alternatives that can be used.

Keywords: Technological forecasting; SWARA; Fuzzy MULTIMOORA; Multi-attribute decision-making; Aerospace industry; Delphi method (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:67:y:2021:i:c:s0160791x21001822

DOI: 10.1016/j.techsoc.2021.101707

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