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As corporations rely on collaborations with partners to enhance their competiveness, they use interorganizational information systems (IOIS) as a powerful tool to link with their partners in the supply chain. The purpose of this study is to measure IOIS performance in the supply chain. The proposed framework considers both internal and external organisational perspectives and is based on the balanced scorecard. This study also uses experts' pairwise comparisons in the fuzzy analytic hierarchy process approach to consider the relative weight or importance of diverse indicators of the framework. Then, this study applies the proposed framework to the Taiwanese information technology industry. The results provide references for managers and future researches when assessing IOIS performance in the supply chain. The proposed model can serve as a useful instrument for helping managers to better understand the main facets of IOIS performance, to be more capable of prioritising improvement projects, and to adopt the right solutions to enhance overall performance. [ABSTRACT FROM AUTHOR]

Byline: Yi-Hui Liang An accurate product reliability prediction model can not only predict and track the product's reliability and operational performance, but also offer useful information for managers to take follow-up actions to improve the product quality and cost. The time series decomposition approach is widely used for prediction, but is not used for reliability prediction. This study proposes a new method for predicting the reliability of repairable products. The novel method constructs a predictive model by employing the time series decomposition approach. Finally, one real case study is presented to illustrate the feasibility of the proposed method.