AIRCC's International Journal of Computer Science and Information Technology

Waleed Al-Ghaith ¹

Affiliations
1 Department of Information Systems, Shaqra University, Riyadh, SA

Abstract

This study examines the individuals' participation intentions and behaviour on Social Networking Sites (SNSs). For this purpose, the Technology Acceptance Model (TAM) is utilized and extended in this study through the addition of "perceived social capital" construct aiming to increase its explanatory power and predictive ability in this context. Data collected from a survey of 1100 participants and distilled to 657 usable sets has been analysed to assess the predictive power of proposed model via structural equation modelling. The model proposed in this study explains 56% of the variance in "Participation Intentions" and 55% of the variance in "Participation Behaviour". Participation of behavioural intention in the model' explanatory power was the highest amongst the constructs (able to explain 28% of usage behaviour). While, "Attitude" explain around 11% of SNSs usage behaviour. The study findings also show that "Perceived Social Capital" construct has a notable impact on usage behaviour, this impact came indirectly through its direct effect on "Attitude" and "Perceived Usefulness". Participation of "Perceived Social Capital" in the models' explanatory power was the third highest amongst the constructs. "Perceived Social Capital", alone explain around 9% of SNSs usage behaviour.

Keywords

Adoption, Perceived Social Capital, Social Networking Sites, Technology Acceptance Model, Usage.

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Waleed Al-Ghaith ¹

Affiliations
1 Department of Information Systems, Shaqra University, (Imam Muhammad Ibn Saud Islamic University), Riyadh, SA

Abstract

Many applications on smart Phones can use various sensors embedded in the mobiles to provide users’ private information. This can result in a variety of privacy issues that may lessening level of mobile apps usage. To understand this issue better the researcher identified the ischolar_main causes of privacy concerns. The study proposed a model identifies the ischolar_main causes of privacy concerns and perceived benefits based on our interpretation for information boundary theory. The proposed model also addresses the usage behavior and behavioral intention toward using mobile apps by using the Theory of Planned Behavior. The result shows that “Cultural values” alone explains 70% of “Perceived privacy concerns” followed by “Self-defense” which explains around 23% of “Perceived privacy concerns”, and then “Context of the situation” with 5%. Whereas, the findings show that “Perceived effectiveness of privacy policy” and “Perceived effectiveness of industry self-regulation” both are factors which have the ability to reduce individuals “Perceived privacy concerns” by 9% and 8% respectively.

Keywords

Mobile Phone, Information Boundary Theory, Communication Privacy Management Theory, Perceived Privacy Concerns, Theory of Planned Behavior.

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Waleed Al-Ghaith ¹

Affiliations
1 Imam Mohammad Ibn Saud Islamic University (IMSIU), SA

Abstract

Cloud computing is regarded as the next generation of computing. It is progressively being used as a launching pad for digital innovation and organizational agility. Cloud computing is frequently used by private and public organizations due to its flexibility, collaboration, cost-effectiveness, and scalability. These characteristics make cloud computing indispensable for individuals and businesses such as higher education institutes. Several prior studies covered the technological facets of cloud-based contexts, including cloud security, scalability, and virtualization. However, it is contend that the main barrier to cloud computing isn't technical but cognitive or behavioural, and in particular attitudinal. Thus, this research aims to study higher education’ students’ attitudes and their intention to adopt cloud computing, with a specific concentration on the effect of trust, peer influences, perceived usefulness and ease of use in order to investigate the factors influencing the adoption of cloud computing in higher educational environment in Saudi Arabia. This study presents an extended Decomposed Theory of Planned Behaviour (DTPB) to include trust, peer influences, perceived usefulness and ease of use as a cognition, representing a person’s perception of social influence to perform or not perform a behaviour under consideration. The proposed model was able to explain 62% of the variance in behavioural intention and 65% of students' attitudes towards the adoption of cloud computing in higher educational environment. The study's findings show that the proposed model explained a significant amount of variation in cloud computing adoption. It suggests that the model expansion by incorporating trust, peer influences, perceived usefulness and ease of use factors were valuable explorations. Further, the findings demonstrate that university students' attitudes toward using cloud computing are significantly influenced by perceived ease of use, trust in cloud computing service provider and perceived usefulness, which have the ability to explain their attitude by 22.15%, 21.9% and 20.9% respectively. The result also shows that "subjective norm" alone explains 33.95% of students' "behavioural intentions" towards using cloud computing, followed by their "attitude," which explains around 14.24% of "behavioural intentions," and then university students’ "self-efficacy," with 13.71%.

Keywords

Cloud Computing, DTPB, Trust, Technology Acceptance, Peer influences, Perceived usefulness, Perceived ease of use.

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