Universiti Teknologi Malaysia Institutional Repository

Mobile business intelligence acceptance model for organisational decision making

Lim, Yee Fang and Mohd. Azmi, Nurulhuda Firdaus and Yahya, Yazriwati and Sarkan, Haslina and Amir Sjarif, Nilam Nur and Chuprat, Suriayati (2018) Mobile business intelligence acceptance model for organisational decision making. Bulletin of Electrical Engineering and Informatics, 7 (4). pp. 650-656. ISSN 2089-3191

Full text not available from this repository.

Official URL: http://journal.portalgaruda.org/index.php/EEI/arti...


Mobile Business Intelligence (BI) is the ability to access BI-related data such as key performance indicators (KPIs), business metric and dashboard through mobile device. Mobile BI addresses the use-case of remote or mobile workers that need on-demand access to business-critical data. User acceptance on mobile BI is an essential in order to identify which factors influence the user acceptance of mobile BI application. Research on mobile BI acceptance model on organizational decision-making is limited due to the novelty of mobile BI as newly emerged innovation. In order to answer gap of the adoption of mobile BI in organizational decision-making, this paper reviews the existing works on mobile BI Acceptance Model for organizational decision-making. Two user acceptance models which are Technology Acceptance Model and Technology Acceptance Model for Mobile Services will be review. Realizing the essential of strategic organizational decision-making in determining success of organizations, the potential of mobile BI in decision-making need to be explore. Since mobile BI still in its infancy, there is a need to study user acceptance and usage behavior on mobile BI in organizational decision-making. There is still opportunity for further investigate the impact of mobile BI on organizational decision-making.

Item Type:Article
Uncontrolled Keywords:mobile BI acceptance model, mobile business intelligence, Organizational decision making
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:86466
Deposited By: Yanti Mohd Shah
Deposited On:30 Sep 2020 16:40
Last Modified:30 Sep 2020 16:40

Repository Staff Only: item control page