Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Prioritization of Influential Factors in the Selection of Advanced Technologies in the Automotive Polymer Parts Industry Using Fuzzy AHP Method (Case Study: Iran Khodro Company)

Document Type : Original Article

Authors
J. Tohidi 1
M. Hosseini Shokouh 2
A. Sadegh Asl 1
M. Haddadi 3
1 M.Sc. in Technology Management with a focus on Technological Innovation, Islamic Azad University, Science and Research Branch, Tehran, Iran.
2 Faculty Member of the Industrial Management Department, Karaj Branch, Islamic Azad University, Karaj, Iran.
3 M.Sc. in Entrepreneurial Management with a focus on Organizational Development, Shahid University, Tehran, Iran.
10.47176/TDASS.2021.200
Abstract
Given the rapid globalization and the need for companies and countries to compete closely in the global market, new and superior technologies have emerged as a competitive advantage for global market presence. The identification and prioritization of factors influencing technology selection depend on the technology provider's willingness to offer it in a specific way, as well as the technology recipient's inclination and ability to acquire and assimilate it. For emerging technologies, factors such as high costs of obtaining new technology, high installation and startup costs, and maintenance, repair, and training costs are just a few of the numerous considerations that must be taken into account in the selection of innovative technologies. In this research, first, the effective criteria in selecting new technologies in the automotive polymer parts industry are identified. Fuzzy Analytical Hierarchy Process (AHP) is then used to rank these criteria. To identify the factors influencing the selection of new technologies in automotive parts manufacturing companies, a screening questionnaire was designed. Initially, out of 40 criteria collected from the literature, 19 criteria were finalized using a one-sample t-test with the participation of 133 automotive industry professionals. The reliability results, calculated using Cronbach's alpha, yielded a value of 0.82. In the next step, using 19 automotive industry experts (with a minimum of 15 years of experience and familiarity with technology selection issues), the fuzzy Analytical Hierarchy Process (AHP) was applied to prioritize the criteria influencing the selection of new technologies. Four prioritized options include technology complexity levels, quality, environmental pollution levels, and ease of implementation. The reliability obtained from the questionnaire "Assessment of the relative importance of factors influencing the selection of new technologies in the automotive polymer parts industry" was calculated separately for each matrix using pairwise comparisons, and CR <0.1.
Keywords
Innovative Technologies
Technology selection
Polymer parts
Fuzzy Analytical Hierarchy Process (AHP)
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Transactions on Data Analysis in Social Science
Volume 3, Issue 4
Autumn 2021
Pages 200-217

  • Receive Date 24 June 2021
  • Revise Date 06 September 2021
  • Accept Date 07 December 2021