Purpose-The purpose of this paper is to investigate the factors that affect the adoption of cloud computing by firms belonging to the high-tech industry. The eight factors examined in this study are relative advantage, complexity, compatibility, top management support, firm size, technology readiness, competitive pressure, and trading partner pressure. Design/methodology/approach-A questionnaire-based survey was used to collect data from 111 firms belonging to the high-tech industry in Taiwan. Relevant hypotheses were derived and tested by logistic regression analysis. Findings-The findings revealed that relative advantage, top management support, firm size, competitive pressure, and trading partner pressure characteristics have a significant effect on the adoption of cloud computing. Research limitations/implications-The research was conducted in the high-tech industry, which may limit the generalisability of the findings. Practical implications-The findings offer cloud computing service providers with a better understanding of what affects cloud computing adoption characteristics, with relevant insight on current promotions. Originality/value-The research contributes to the application of new technology cloud computing adoption in the high-tech industry through the use of a wide range of variables. The findings also help firms consider their information technologies investments when implementing cloud computing.
The purchasing function directly affects the competitive ability of a firm. Purchasing managers need to periodically evaluate supplier performance in order to retain those suppliers who meet their requirements. The importance of incorporating multiple attributes such as quality, on-time delivery, price and service, into vendor evaluation are well established in the literature. This report provides a more accurate and easier method for quantifying the supplier's attributes to quality-loss using a Taguchi loss function, and these quality losses are also transferred into a variable for decision-making by an analytical hierarchy process (AHP). An example for supplier evaluation and selection is also presented to demonstrate the functional application of the model.
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