Identification of innovative technology enablers and drone technology determinants adoption: a graph theory matrix analysis framework

Sadia Samar Ali (), Rajbir Kaur () and Shahbaz Khan ()
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Sadia Samar Ali: King Abdulaziz University
Rajbir Kaur: Govt Girls College
Shahbaz Khan: GLA University

Operations Management Research, 2023, vol. 16, issue 2, No 15, 830-852

Abstract: Abstract Two main things ensure technology is integrated into a system: enablers, which help technology get in; and determinants, which act as filters to ensure that the right technology gets in. The study develops a decision framework for ranking determinants of drone technology adoption from the perspective of enablers related to innovative technology integration. This study is based on qualitative expert opinion and quantitative integrated MCDM methods. It provides a valuable graph theory matrix analysis framework for managerial perspectives. Several insights are given into the areas of what makes it possible to use new technologies and what makes people adopt drone technology. The study also points out problems and places where more research is needed.

Keywords: Industrial development; Intelligent logistics; Technology 4.0; Drone technology; Expert opinion; GTMA; Saudi Arabia (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s12063-023-00346-3

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