نوع مقاله : پژوهشی
نویسندگان
دانشکده مهندسی صنایع و سیستم ها، دانشگاه تربیت مدرس
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
In today's competitive environment, performance evaluation plays an important role in developing better strategic plans and improving efficiency of any organization. Due to the importance of insurance industry in socioeconomic growth and development of societies, it is notable to take into account the fact that the improvement in efficiency and effectiveness of the industry relies on the efficiency of the inner active insurance companies, this is one of the major necessities of any country. In addition, over the last decade, Iran insurance industry has implemented significant changes including the involvement of private sector in this industry and departure from government domination. These developments also clarify the necessity and importance of using appropriate methods to assess the effectiveness of different organizational levels. The purpose of this study is to design a comprehensive
framework to combine the balanced scorecard (BSC) and data envelopment analysis (DEA) approaches for evaluating performance of insurance companies. The advantages of the proposed model are its weighted evaluation and maintenance of
the balance among BSC perspectives, providing a holistic view and flexibility in involving factors and its outstanding power in detecting the efficient and inefficient units. In this study, first by studying the documents and interviewing with experts in insurance industry, the most important performance indexes in four areas were determined based on BSC method, i.e., financial,
customer, internal processes, and learning and growth. Subsequently, by applying the DEA technique, the efficiency of a sample of 18 private Iranian insurance companies was measured. The results of the proposed model indicate that the performance of the aforementioned companies is quite satisfactory through BSC perspective. Also, in the performed aggregated ranking, the
companies, i.e., Parsian, Arman, and Sina, obtained the highest scores, respectively. Ultimately, using the generated performance scores (in each area of BSC), after determining the reference groups, the optimal solutions for improving the efficiency of the inefficient companies were determined.
کلیدواژهها [English]
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