Improving Mobile Commerce Adoption Using a New Hybrid Fuzzy MADM Model

被引:27
|
作者
Hu, Shu-kung [1 ]
Lu, Ming-Tsang [2 ]
Tzeng, Gwo-Hshiung [3 ]
机构
[1] Kainan Univ, Dept Business & Entrepreneurial Management, Taoyuan 33857, Taiwan
[2] Commerce Dev Res Inst, Taipei 10665, Taiwan
[3] Natl Taipei Univ, Grad Inst Urban Planning, Coll Publ Affairs, New Taipei City 23741, Taiwan
关键词
Mobile commerce adoption; Fuzzy MADM (fuzzy multiple attribute decision making); Fuzzy DEMATEL (fuzzy decision making trial and evaluation laboratory); Fuzzy INRM (fuzzy influential network relationship map); Fuzzy DANP (fuzzy DEMATEL-based analytic network process); Fuzzy VIKOR (fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje); USER ACCEPTANCE; SERVICE QUALITY; TRUST; DETERMINANTS; INTENTION; AHP;
D O I
10.1007/s40815-015-0054-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As mobile commerce (m-commerce) has continued to grow via advancements in wireless and mobile technology, the issue of m-commerce has become more significant. To improve m-commerce adoption, companies should establish a perfect m-commerce environment and learn to understand consumer needs. This paper proposes an evaluation model for m-commerce that can explore and improve m-commerce adoption for uncertain information in a fuzzy environment. The model addresses the interdependence and feedback effects between criteria or dimensions, the best alternative selection and systematic improvement by adopting a new hybrid fuzzy MADM model, which uses the fuzzy DEMATEL technique to construct the fuzzy INRM and determine the fuzzy influential weights using the fuzzy DANP. It further combines the fuzzy VIKOR methods for creating the best improvement plan based on the fuzzy INRM. An empirical case for evaluating m-commerce adoption is used to verify the proposed planning model. The results reveal that the proposed planning model can help companies improve m-commerce adoption for enhancing consumer trust via integrity.
引用
收藏
页码:399 / 413
页数:15
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