Multiple criteria decision-making (MCDM) is considered as a complex decisionmaking (DM) tool involving both quantitative and qualitative factors. In recent years, several MCDM techniques and approaches have been suggested to choosing the optimal probable options. The purpose of this article is to systematically review the applications and methodologies of the MCDM techniques and approaches. This study reviewed a total of 393 articles published from 2000 to 2014 in more than 120 peer reviewed journals (extracted from Web of Science). According to experts' opinion, these articles were grouped into 15 fields. Furthermore, these articles were categorised based on authors, publication date, name of journals, methods, tools, and type of research (MCDM utilising research, MCDM developing research, and MCDM proposing research). The results of this study indicated that in 2013 scholars have published articles more than in other years. In addition, the analytic hierarchy process (AHP) method in the individual tools and hybrid MCDM in the integrated methods were ranked as the first and second methods in use. Additionally, the European Journal of Operational Research as the first journal with 70 publications was the significant journal in this study. Finally, energy, environment and sustainability were ranked as the first areas that have applied MCDM techniques and approaches.

Purpose – The purpose of this paper is to investigate factors affecting knowledge sharing among academic staff in universities. Utilizing the theory of reasoned action (TRA) as the underlying research framework, the main objective of this study was threefold. First, was to examine the relationship between attitude, subjective norm, and trust with knowledge sharing intention. Second, was to examine the relationship among factors, i.e., self-efficacy, social networks and extrinsic rewards with attitude toward knowledge sharing intention and the third objective was to find out the relationship between organizational support and subjective norm. Design/methodology/approach – A total of 200 questionnaires were distributed among academic staff at three social science faculties in one public university in Malaysia. Collectively, 117 usable responses were returned. Partial Least Square analysis was utilized to analyze the data. Findings – The results indicated that of the two components of the TRA, only attitude was positively and significantly related to knowledge sharing intention. The findings also show that social network and self-efficacy significantly affect attitude and organizational support showed a strong influence on subjective norms toward knowledge sharing intention. Research limitations/implications – Future research should consider type of knowledge that is being shared. Besides, it would also be interesting to investigate potential differences of the knowledge sharing intention between academic staff in the private and public universities. Practical implications – This study offers a more clear vision of the factors that affect knowledge sharing intention among academic staff. Therefore, managers can implement practical plan to support those factors. Originality/value – Factors affecting knowledge sharing among academic staff in universities were reviewed to suggest a framework to explain this behavior in a specific context.

In recent years several previous scholars made attempts to develop, extend, propose and apply Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for solving problems in decision making issues. Indeed, there are questions, how TOPSIS can help for solving these problems? Or does TOPSIS solved decision making problems in the real world? Therefore, this study shows the recent developments of TOPSIS approach which are presented by previous scholars. To achieve this objective, there are 105 reviewed papers which developed, extended, proposed and presented TOPSIS approach for solving DM problems. The results of the study indicated that 49 scholars have extended or developed TOPSIS technique and 56 scholars have proposed or presented new modifications for problems solution related to TOPSIS technique from 2000 to 2015. In addition, results of this study indicated that, previous studies have modifications related to this technique in 2011 more than other years.

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