Mobile Business Intelligence Acceptance Model

3.2. Proposing the Mobile BI Acceptance Model for Organisational Decision Making

From the review presented, thus, the study propose mobile BI acceptance model which help to forecast acceptability thus, enhance organizational decision-making based on usage behavior. The findings of the study is aim to contribute onto the generalize model which applicable to worldwide organizations. The research hypothesis of the proposed study is as follow:

"The enhancement of the acceptance model of mobile business intelligence in organizational decisionmaking can improve the speed of decision making and business process efficiency". Therefore, the main research questions derives from the proposed study is:

"What are the factors influencing user acceptance and usage behavior on mobile BI in organizational decision-making?"

Sub research questions derives from the main research question, are identified as below:

1. What are the factors initiated mobile BI in organizational decision-making?
2. What are the existing research relating to mobile BI and BI technologies as well as the adoption and usage within context of organizational decision-making?
3. How the mobile BI acceptance model can be develop for organizational decision-making using the existing Technology Acceptance Models?
4. How to evaluate the acceptance model for organizational decision-making?

A quantitative research methodology will be implemented in this study, in order to examine the relationship proposed by the model and the phenomena of user acceptance, through the collection of numerical data. Structured questionnaire will be developing as an instrument to collect information on user perception of a particular mobile BI and how the perception translates into mobile BI use. The focus was to identify if the variables, Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) had a positive correlation with Attitude towards Using (ATU) and Intention to Use (ITU). This was done through an analysis of the various correlations, and frequencies. The questionnaire is planned to include those items towards using mobile BI. All items required five-point Likert-style responses ranging from 1= "Strongly Disagree" to 5= "Strongly Agree". Later the analysis will include various correlations, and frequencies to test the model on data collected, and emphasis was also added to the demographical variables of: age, gender, division, and experience with the Business Intelligence tool.

This study will target company workers who accountable as organization decision-maker particularly those who hold executive or management positions as our research setting. Since the study will emphasized organizational decision-making supported with mobile BI. The respondents for this study will only include mobile BI users with installed mobile BI software in their mobile devices (smartphone or tablets). To be more specific, respondents will be asked to evaluate their current usage of mobile BI and the functionalities of mobile BI in supporting decision-making, as well as to predict future mobile BI usage related with their roles and responsibilities.

A sample size of 250 users will be identified using convenient sampling. Convenient sampling is chosen due to the availability of respondents, quickness within which data could be gathered, and the cost effectiveness of sampling method. In order to test whether the sample would be suitable a Kaiser-MeyerOlkin (KMO) test is planned to conduct. The KMO test is a measure of how suitable data is for factor analysis. The frequency analysis, descriptive statistics, reliability and internal consistency of the selected constructs as well as correlations between constructs, and linear regression will be used to analyze the data.