The effective factors on user acceptance in mobile business intelligence

Ghazal Bargshady, Katayoon Pourmahdi, Panteha Khodakarami, Touraj Khodadadi, Farab Alipanah

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Mobile business intelligence used for business intelligence mobile service applications increasingly. According to Gartner (2011), global smartphone sales had arrived at 630 million in 2012, and are supposed to reach 1,105 million items in 2015. As a result, business intelligence users not only rely on desktop computers, while they as well want mobile access to joint and used data. Nevertheless, few studies have been consummate on mobile business intelligence services and the user acceptance rate of mobile BI is still moderately low. For these reasons, the current article centred on the significant of the factors and levels of mobile business intelligence user acceptance that affect the mobile business intelligence user Acceptance. The conceptual model planned and data collected between mobile business intelligence users and quantitative method used. The collected data, analysed by SPSS software. The result of data analysis exposed that how factors such as organization climate, information quality, system quality, society effect and individual effect were influenced user acceptance in mobile business intelligence applications.

Original languageEnglish
Pages (from-to)49-54
Number of pages6
JournalJurnal Teknologi
Volume72
Issue number4
Publication statusPublished - 2015
Externally publishedYes

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