This essay investigates the impacts of contract features such as contract length and fleet size on reliability investment, spare parts, supplier's profit, and the annual cost of the system in performance-based contracting (PBC). The impact of each contract feature analyzed using the multi-objective genetic algorithm in a mathematical model. We found that failure rates of the systems and the annual unit cost for the buyer exponentially decrease when the fleet size or contract length becomes larger. Also, an annual profit of suppliers grows substantially with an increase in fleet size and length of contracts. Additionally, we explored that these features have little impact on spare parts in PBC. Findings of this study advance understanding of the impact of fleet size and the length of contracts on decisions made by suppliers for the reliability and inventory investments in PBC. Furthermore, practitioners will benefit from the results to build effective and efficient PBC.

This paper examines the impact of mobile device characteristics on perceptions of cloud storage. Following the framework and guidelines for context-specific theorizing in information systems research, we develop and test a model that examines the following research questions: How does the individual's experience with mobile devices impact perceptions of mobile cloud storage? How do mobile context-specific factors influence the individual's adoption of cloud storage? The model incorporates context-specific factors such as ease of file storage, ease of file transfer, multiple device use, and mobile device use. Our study contributes to the literature on theorizing context-specific factors by highlighting the importance of mobile device characteristics and usage contexts in individual technology adoption research. We also identify both performance increases and security challenges in providing access to cloud storage through mobile devices to individuals.