Abstract-Cloud computing presents a new model for IT service delivery and it typically involves over-a-network, on-demand, self-service access, which is dynamically scalable and elastic, utilising pools of often virtualized resources. Through these features, cloud computing has the potential to improve the way businesses and IT operate by offering fast start-up, flexibility, scalability and cost efficiency. Even though cloud computing provides compelling benefits and cost-effective options for IT hosting and expansion, new risks and opportunities for security exploits are introduced. Standards, policies and controls are therefore of the essence to assist management in protecting and safeguarding systems and data. Management should understand and analyse cloud computing risks in order to protect systems and data from security exploits. The focus of this paper is on mitigation for cloud computing security risks as a fundamental step towards ensuring secure cloud computing environments.

Technology adoption models specify a pathway of technology acceptance from external variables to beliefs, intentions, adoption and actual usage. Mobile phone adoption has been studied from a variety of perspectives, including sociology, computer-supported cooperative work and human-computer interaction. What is lacking is a model integrating all these factors influencing mobile phone adoption. This paper investigates technology adoption models as a strategy to match mobile phone design to user's technological needs and expectations. Based on the literature study we integrate three existing technology adoption models and then evaluate the proposed model with interviews and a survey. The contribution of this paper is a model for representing the factors that influence mobile phone adoption.

There are as many arguments against as supporting the accommodation of culture into user interface design. One argument suggests that it is necessary to match the subjective cultural profile of the interface to the cultural profile of the users in order to enhance usability and performance. In contrast, we argue that the interface design characteristics required to design interfaces to accommodate one side of four of the five cultural dimensions proposed by Hofstede will result in an increase in usability for all users, irrespective of the users' cultural profile. Secondary data analysis of a prior experiment somewhat supported our argument, but we conclude that further research into the effects of Hofstede's cultural dimensions is required before our hypotheses can be accepted.

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