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

被引:21
作者
Ali, Sadia Samar [1 ]
Kaur, Rajbir [2 ]
Khan, Shahbaz [3 ]
机构
[1] King Abdulaziz Univ, Jeddah 21589, Saudi Arabia
[2] Govt Girls Coll, Panchkula 134001, Haryana, India
[3] GLA Univ, Inst Business Management, Mathura, India
关键词
Industrial development; Intelligent logistics; Technology; 4.0; Drone technology; Expert opinion; GTMA; Saudi Arabia; MULTILEVEL PERSPECTIVE; DYNAMIC CAPABILITIES; ACCEPTANCE MODEL; USER ACCEPTANCE; PERCEIVED EASE; CITY; PERFORMANCE; SYSTEMS; IMPLEMENTATION; OPTIMIZATION;
D O I
10.1007/s12063-023-00346-3
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:830 / 852
页数:23
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