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Research on influential factors of E-commerce recommendation user behavior intention

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Exiting study on E-Commerce recommendation system focus on addressing its low adoption from from a technical point of view, and less analyzing from Chinses users' behavior in B2C E-Commerce website where the users' habits and behavior is special. So we propose the user adoption model of e-commerce recommendation system based on TAM model. Fistly, we use the behavior intention to express the customer adoption behavior for online shopping behavior is difficult to. Then, we use the concept of compatibility in the IDT model, which is the influence factor on usefulness and ease of use. The study found that, as external factor, compatibility affects the user perceived usefulness and ease of use, perceived ease of use significantly affect the usefulness, usefulness and ease of use are important factors affecting the user adoption of e-commerce recommendation system, then we provide comments and suggestions on the recommendation system for the e-commerce business.

Original languageEnglish
Title of host publicationICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
EditorsLiang Zhao, Lipo Wang, Guoyong Cai, Kenli Li, Yong Liu, Guoqing Xiao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2485-2490
Number of pages6
ISBN (Electronic)9781538621653
DOIs
StatePublished - 21 Jun 2018
Externally publishedYes
Event13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017 - Guilin, Guangxi, China
Duration: 29 Jul 201731 Jul 2017

Publication series

NameICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

Conference

Conference13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017
Country/TerritoryChina
CityGuilin, Guangxi
Period29/07/1731/07/17

Keywords

  • Behavior Intention
  • Electronic Commerce Recommendation System
  • TAM Model
  • User Adoption

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