Department of Management & Marketing
Permanent URI for this collectionhttps://hdl.handle.net/11274/15395
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Browsing Department of Management & Marketing by Author "Mims, Tina C."
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Item College students and credit card companies: Implications of attitudes(Palgrave Macmillan, 2016) Singh, Shweta; Rylander, David; Mims, Tina C.More knowledge and understanding is needed regarding the mechanisms influencing college student attitudes toward credit card companies and the behavior that students exhibit using credit cards. Prior literature in the area has been sparse. The current article is an attempt to fill the gap in existing literature. Using survey data, we try to find the determinants of college student attitude toward credit card companies and the responsible use of credit cards. Our findings indicate that a strong positive link exists between student attitude toward credit card companies and responsible credit behavior. Two distinct groups of students are identified – one with a positive attitude toward credit card companies and positive credit use behaviors; the other with the opposing attitude and behavior. Reward cards, payment behavior, number of credit cards, modes of acquisition, awareness about credit card policies, purpose for using credit cards, impulsiveness and certain student characteristics are all indicated as variables that help discriminate between the two different student groups. Our findings have implications for both higher education institutions and credit card firms.Item Efficiency of online vs. offline learning: A comparison of inputs and outcomes(Center for Promoting Ideas (CPI), USA, 2012) Singh, Shweta; Rylander, David; Mims, Tina C.As the trend toward online education intensifies, questions remain regarding the overall efficiency of online courses versus their in-class counterparts. The current paper seeks to estimate the efficiency of students who take online courses relative to the efficiency of students who are enrolled in offline courses. Efficiency outcomes are defined in terms of (1) quantitative scores achieved by the student at the end of the course, (2) the student’s viewpoint of how much they learned in the course and (3) the student’s level of satisfaction with the course. The authors use Data Envelopment Analysis (DEA) to estimate a model of student efficiency. Demographics, student experience and student preferences are examined as differentiating attributes. The sample is taken from a course offered both online and in a traditional classroom setting, with both formats being taught by the same instructor in a single semester. Implications include a better understanding of the strengths and weaknesses in efficiency of different course formats.