The Effective Factors on User Acceptance in Mobile Business Intelligence

Authors

  • Ghazal Bargshady Faculty of Advanced Informatics School of Universiti Teknologi Malaysia, Department of Information System, Jalan Semarak, 54100, Kuala Lumpur, Malaysia
  • Katayoon Pourmahdi Faculty of International Business School of Universiti Teknologi Malaysia, Department of Master of Business Administration, Jalan Semarak, 54100, Kuala Lumpur, Malaysia
  • Panteha Khodakarami Faculty of International Business School of Universiti Teknologi Malaysia, Department of Master of Business Administration, Jalan Semarak, 54100, Kuala Lumpur, Malaysia
  • Touraj Khodadadi Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
  • Farab Alipanah Faculty of Advanced Informatics School of Universiti Teknologi Malaysia, Department of Information System, Jalan Semarak, 54100, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.11113/jt.v72.3913

Keywords:

Mobile business intelligence, user acceptance, information quality, system quality, organization climate, individual effect and social effect

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.

 

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Published

2014-01-08

How to Cite

The Effective Factors on User Acceptance in Mobile Business Intelligence. (2014). Jurnal Teknologi, 72(4). https://doi.org/10.11113/jt.v72.3913