No abstract

No abstract

This research aims to exploratively search relevant psychological determinants for debt repayment behavior. In this regard, the research question is: Which psychological factors affect the debt repayment behavior? Some research in literature argue that the socio-economic factors alone may not be sufficient to explain debt and repayment behavior, and some other factors should be also utilized. This study will focus on psychological factors consisting of personality and attitudes. To the our best knowledge, in Turkey there is very limited amount of research conducted in this area and as one of the highest individual credit using countries it is essential to use psychological factors in credit risk evaluation processes. Thus, this research, examines effects of personality characteristics and attitude on debt repayment behavior in the context of Turkish culture, and is expected to fill a gap and to contribute to both national and international literatures. The study utilizes qualitative research methodology to explore psychological determinants and their effects on debt repayment behavior. In depth interview research methodology has been used to explore the personality characteristics and attitude influencing debt repayment behavior.  The research findings revealed that, the responsibility, long term orientation, sanction fear, sense of collectivism, rational decision making and risk aversion are main characteristics of regular payers, while external locus of control, irresponsibility, short term orientation,  irrational decision making, emotional imbalance are common characteristics of irregular payers. So, according to findings, , conscientious, time orientation, sanction fear, sense of collectivism, locus of control and decision making style can be enlisted as primary personal and attitudinal factors explaining the repayment behavior.

In addition to their operational efficiency, the service level based performance dimensions of transit systems has begun to attract the attention of several researchers in recent years. The consideration of both operational efficiency and service level performance enables a more comprehensive performance evaluation for bus transit operators. This study aims to investigate the operational efficiency and service level performance of public transportation companies with data envelopment analysis (DEA). However, DEA might assign some highly efficiently operating routes as benchmarks to inefficient ones despite some unsatisfactory service level performance, and vice versa. This benchmarking might help to improve one performance dimension but can result in worsening the other. To overcome this problem, the two-model approach introduced by Shimshak and Lenard (INFOR 45(3):143-151, 2007) is utilized to determine the best performing routes. This approach removes the high operational efficient routes with low service level performance and high service level performers but operationally inefficient routes from the analysis and helps to define best performing benchmarks being able to enhance both operational efficiency and service level performance. At the end of the study, a critique of the two-model approach is presented. This paper makes three contributions to the practice of transit performance evaluation. First, it puts forward the necessity of multi-objectivity for the subunits of transit systems. Second, it demonstrates the applicability of the two-model approach in the transportation & Samet Güner