About Us

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Asalamualaikum and hello everyone. Thank you for spending your time to visit our blog. Now we would like to introduce about all of our group member.




Muhammad Hafiz Bin Jin Azman 
Bachelor of Business Administration In Management and Entreprenuership
62212117092
Semester 5




Mohamad Fitri Bin Tunisman
Bachelor of Business Administration In Management and Entreprenuership
62212117364
Semester 6




Ahmad Soffawi Bin Mohd Kamil
Bachelor of Business Administration In Management and Entreprenuership
62212317082
Semester 5




Ahmad Nabil Bin Jamal Nor Ahmad
Bachelor of Business Administration In Management and Entreprenuership
62212117117
Semester 5

Under University Kuala Lumpur :


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About Lecture

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First of all we want to thank to our lecture for sharing all the knowledge about business research method. Also we want to thank for being such a cool and good lecture. During our class lesson we never feel boring and make us want to attend his class because the way he tough us is easy for students to understand. His very please to share all the technique the required in BRM to all his students. We really please to have such a good lecture like him. Now we would like to introduce our lecture: Assoc. Prof. Dr. Ilham Sentosa Anwar Malik P hD in Human Resource Management, UUM.  Master of Public Admininstration, Gadjah Mada University. Bachelor in Public Management, Institute of Government Study, Indonesia. https://www.facebook.com/sentosa.ilham.3 https://instagram.com/sentosa_ilham?utm_source=ig_profile_share&igshid=epm6mozbh3nb
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Theory Involved

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UTAUT UTAUT was formulated by Venkatesh et al (2003), which consists of four main concepts, Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC). These four main concepts are independent variables which influence dependent variables, behavioral  and usage. Gender, age, experience, and volunteers of system use have indirectly influenced the dependent variables via the four main concepts . Behavioral intention is seen as a critical predictor of technology use. Performance expectancy:  The degree to which an individual believes that using the system will help him or her to attain gains in job performance. Performance expectancy is hypothesized to moderate the influence on behavioral intention by gender and age. Effort expectancy:  The degree of ease associated with the use of the system. Effort expectancy hypothesized to moderate the influence on behavioral intention by gender and age, and experience. ...
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Item And Measurements

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Variables Result Hypothesis Smart Perceived Security Risk (SPSR) Not Supported H1: Smart perceived security risk (SPSR) has negative influence on behavioural intention (BI). Smart Perceived Trust (SPT) Supported H2: Smart perceived trust (SPT) has positive influence on behavioural intention Performance Expectancy (PE) Supported H3: Performance expectancy (PE) has positive influence on behavioural intention (BI) Effort Expectancy (EE) Supported H4: Effort expectancy (EE) has positive influence on behavioural intention (BI) Social Influence (SI) Not Supported H5: Social influence (SI) has positive influence on behavioural intention (BI) Facilitating Conditions (FC) Not Supported H6: Facilitating conditions (FC) has positive influence on behavioural intention (BI) ...
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