چكيده به لاتين
Now a days, Productivity growth and efficiency improvement are the main sources of economic development both at the organizational and macro-level. From the perspective of data envelopment analysis (DEA) as a powerful nonparametric tool in decesion supporting system, the known factors affecting total factor productivity growth are pure efficiecncy, scale efficiency, technology, balance of decision making units (DMUs), and rules and regulations. Continuing the investigations on other effecting factors, this thesis attempts to address the "ethics" issue from DEA approach. Adopting the production approach and defining some appropriate ethical codes related to input/output data structure, first the codes are quantified and then are used in adding assurance region weight restrictions to basic DEA models. With this weghting restructuring, the ethics model is obtained. Then, the ethics factor for each DMU is defined as the ratio of ethics model efficiency measure to CCR model. This model is set as the base technology in two, three and four component decompositions of suggested extended Malmquist productivity growth index. In these decompositions, the role of each factor, especially ethics factor changes, is determined and subsequent analysis could be done. How the analysis is viewed and performed is also important. In this thesis, individual and group analysis of DMUs is used to examine the relationship between the code measures and extended Malmquist index derived from ethics model. At the end, the real data of bank Maskan is used for validation of proposed models as a case study in two time periods 2017 and 2018. It is noteworthy that by adding these kindes of weight restriction, the maximum relative efficiency is correctly calculated and infeasibility conditions will not occured.
