Safety is a critical element in the air transport industry. Although fatal air accidents are rare compared to other transport industries, the rapid growth in air travel demands has resulted in a growing aviation risk exposure and new challenges in the aviation sector. Although the issue of airline safety is of serious public concern, notably few studies have investigated the safety efficiency of airlines. This paper aims to propose a novel hybrid method using fuzzy data envelopment analysis (DEA) and fuzzy multi-attribute decision making (F-MADM) for ranking the airlines' safety. In this study, fuzzy DEA is utilised to calculate criteria weights, in contrast to the conventional approach of using DEA for measuring the efficiency of alternatives. A ranking of each airline (DMU) on the basis of obtained weights is then assessed using MADM methods. Six MADM methods including Fuzzy SAW, Fuzzy TOPSIS, Fuzzy VIKOR, ARAS-F, COPRAS-F and Fuzzy MULTIMOORA are implemented to rank the alternatives, and finally, the results are compounded with the utility interval technique. This new hybrid method can efficiently overcome the pitfalls of traditional hybrid DEA-MADM models. The method proposed in this study is used to evaluate the safety levels of seven Iranian airlines and to select the safest one.

Purpose -The purpose of this paper is to propose a new framework to assess the value of a knowledge worker (KWr) in his/her organization. Design/methodology/approach -The proposed framework determines the value of each KWr based on his/her contribution to organizational value-added. The framework includes two steps: the contribution of each work process to the total organizational value-added is determined using Knowledge Value Added method; and the value of each KWr is obtained based on the contribution of his/her operational knowledge to the value-added of the processes. Findings -This article elaborates on how KWrs' contribution to organizational value-added can be used to assess them. A new framework is designed to serve this purpose. A case study was also carried out in a marketing department of a detergent manufacturing company to test the practical usability of the framework. The statistical analysis of the results confirms the validity of the framework. Practical implications -The results of this research can be discussed in terms of two main issues. First, this study highlights the imperative role of KWrs in achieving success for organizations in today's knowledge-based economy. This research urges managers of organizations to fully recognize and measure the importance and value of KWrs and recommends that the mechanisms of human resource management (such as compensation and rewarding systems, hiring process and training and development) can be modified with respect to this value measurement. Second, an applicable framework with specific and clearly defined steps is introduced in this paper, which can be used by organizations to determine the value of KWrs based on their contribution to organizational value-added. The proposed framework has two important characteristics which previous models and frameworks failed to deliver: this new framework contains detailed items and procedures that could be easily obtained and fully understood by practitioners and researchers; and the proposed framework provides the ability to compare all types of KWrs. The results obtained by implementation of this framework give insight into the appropriate managerial approaches to reach personal and organizational goals simultaneously. Originality/value -Due to the differences between knowledge work (KW) and manual work, the management of KWrs requires its own methods and techniques. In this article, a brand new framework for KWrs' value assessment is developed based on the characteristics of KW.

AN EVALUATION MODEL OF BUSINESS INTELLIGENCE FOR ENTERPRISE SYSTEMS WITH NEW EXTENSION OF CODAS (CODAS-IVIF