The Effective Factors on User Acceptance in Mobile Business Intelligence

被引:0
|
作者
Bargshady, Ghazal [1 ]
Pourmahdi, Katayoon [2 ]
Khodakarami, Panteha [2 ]
Khodadadi, Touraj [3 ]
Alipanah, Farab [1 ]
机构
[1] Fac Adv Informat, Sch Univ Teknologi Malaysia, Dept Informat Syst, Kuala Lumpur 54100, Malaysia
[2] Fac Int Business, Sch Univ Teknologi Malaysia, Dept Master Business Adm, Kuala Lumpur 54100, Malaysia
[3] Univ Teknol Malaysia, MJIIT, Kuala Lumpur, Malaysia
来源
JURNAL TEKNOLOGI | 2015年 / 72卷 / 04期
关键词
Mobile business intelligence; user acceptance; information quality; system quality; organization climate; individual effect and social effect;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Factors Influencing the User Acceptance of Alipay
    Guo, Huijuan
    Huang, Xin
    Craig, Paul
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ECONOMY, MANAGEMENT AND EDUCATION TECHNOLOGY, 2015, 29 : 344 - 347
  • [22] A study of factors influencing mobile internet user behavior based on the business scenario of mobile entertainment applications
    Wang B.
    International Journal of Simulation: Systems, Science and Technology, 2016, 17 (14): : 19.1 - 19.7
  • [23] Developing a Mobile Business Intelligence Application
    Ramamoorthy, Sathyanath Lappasi
    Bhogal, Jagdev
    2014 EIGHTH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS (CISIS),, 2014, : 392 - 397
  • [24] Mobile Business Intelligence Usage Patterns
    Tona, Olgerta
    AMCIS 2015 PROCEEDINGS, 2015,
  • [25] MOBILE BUSINESS INTELLIGENCE - PORTABLE POWER
    Andriciuc, Dan
    Cihriac, Alexandru Ciprian
    Pana, Aura
    INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY, 2012, : 109 - 113
  • [26] Towards a User Experience Framework for Business Intelligence
    Eriksson, Marcus
    Ferwerda, Bruce
    JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2021, 61 (05) : 428 - 437
  • [27] Enricommender: Business Intelligence for User Interface Design
    Ciarrone, Alexis
    Leiva, Luis A.
    Dubiel, Mateusz
    INTERACTING WITH COMPUTERS, 2024, 37 (01) : 1 - 17
  • [28] UNDERSTANDER Business Intelligence Seeker - User Agent
    Damjanovic, Violeta
    Behrendt, Wernher
    2014 37TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2014, : 1491 - 1496
  • [29] User Interests Clustering in Business Intelligence Interactions
    Drushku, Krista
    Aligon, Julien
    Labroche, Nicolas
    Marcel, Patrick
    Peralta, Veronika
    Dumant, Bruno
    ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2017), 2017, 10253 : 144 - 158
  • [30] Seamless User-Interface for Business Intelligence
    Seeburger, Jan
    Karduck, Achim P.
    Rashid, Asarnusch
    PROCEEDINGS OF THE ICEBE 2008: IEEE INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING, 2008, : 728 - +