SMEs are the essential elements of the economy which is responsible for driving innovation and competition in many economic sectors. To be a competitor in such economies those SMEs should support strategic management decisions successfully. The problem could be in decision phase according to market conditions with many external and internal factors. To cope with ambiguity executives have to consider appropriate strategies. Due to this difficult and time consuming evaluation process, this paper is focusing on determining to find some case-based strategic innovation success factors. A decision making approach is adopted to effectively evaluate those strategic innovation factors.

In an age of rapid technological advancement, the increasing need for energy and its related services to satisfy economic and social development has become a critical concern of national governments worldwide. This has triggered researchers to work on metrics for tracking and tracing energy sustainability in order to provide monitoring mechanisms for policy makers. In this regard, multicriteria decision-making (MCDM) methods are becoming more popular to deal with the multidimensional and complex nature of sustainability. We have proposed an extended and revised version of the grey relational analysis (GRA) method, which is integrated with the fuzzy analytic hierarchy process (AHP), to develop a new composite index for comparing the overall energy sustainability performances of 35 OECD member countries. Our case study revealed the performances of selected countries by providing their strengths and weaknesses based on determined criteria as well as the level of change in performances with different criteria weights. The proposed GRA model can be used in different applications of sustainability due to its flexible nature, which provides benefits from goal-oriented extensions in order to adequately capture different aspects of sustainability.

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A Supply Chain Execution and Management (SCEM) system is an enterprise application that integrates all of the necessary supply chain functions into a single system. These functions range from common ones such as warehouse and transportation management to less known ones such as demand management. In order to execute and manage the supply chain processes successfully, organisations need a comprehensive evaluation approach to determine the most suitable system. The evaluation of an SCEM system involves numerous decision making criteria. Moreover, it is usually characterised with uncertainty and vagueness since it is very difficult to rate SCEM system alternatives with exact terms. To cope with this problem, a fuzzy logic-based approach is developed in this study. This approach main integrates the Fuzzy Analytic Hierarchy Process to weight the decision criteria and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution to rate alternatives. A real life example is provided to demonstrate the capability of the proposed approach.