https://ar.iub.edu.bd/handle/11348/1391 2026-09-10T21:40:30Z 2026-09-10T21:40:30Z Dani, Shweta Singhai, Dr. Manisha https://ar.iub.edu.bd/handle/11348/1394 2026-07-26T09:05:14Z 2014-07-01T00:00:00Z

Factors affecting selection of B-schools in Chhatisgarh, India Dani, Shweta; Singhai, Dr. Manisha In India presently the Business Schools are facing tough time due to cut-throat competition and to remain in the competitive market the Business Schools must provide superior value to the students. The management education institutions need to anticipate and react to student’s needs, want and their choice factor in selecting B-Schools. Considering all the challenges that management education institutions are faced with, it is evident that B-schools need to focus increasingly on marketing techniques used by profit organizations. The basic purpose of education is to produce an able and competent cadre of individuals who can become, at later years, an effective human resource for nation’s growth. Although education brings behaviour changes in individuals but the benefits of education are multidimensional, which particularly serve the broader national interests. Today the expectations of the students and their parents are too high while selecting the B-Schools. Therefore, the objective of this paper is to explore the institution factors that influence students’ decision in selecting B-school in Chhatisgarh a state in India. A structured questionnaire was designed to collect the data. A sample of 2oo students were collected from the cities of Chhatisgarh. Factor Analysis Techniques has been used to extract the factors. It was found that the main factors which affect the student’s decision are extracurricular/students activities, faculty, placementindustry-institute, University results, facilities and financial aids, location and word of alumni.

2014-07-01T00:00:00Z Charumathi, Dr. B. E. S., Suraj https://ar.iub.edu.bd/handle/11348/1393 2026-07-26T09:05:13Z 2014-07-01T00:00:00Z

Refining ohlson model for valuing bank stocks- an artificial neural network approach Charumathi, Dr. B.; E. S., Suraj This study performs and compares the accuracy of Simplified Ohlson model and Refined Ohlson model using Artificial Neural Network (ANN) for valuing bank stocks. Prediction accuracy measuring procedures are used to compare the performance of these models. This study also focused on comparing the predictive power of Simplified Ohlson Model & Refined Ohlson Model (using ANN) using coefficient of determination. The outcomes of predictions are discussed to know the power of Artificial Neural Network. The results of empirical analysis support that Refined Ohlson model using ANN can be used as a valuation tool to provide better and more accurate estimation of equity stock prices of banks.

2014-07-01T00:00:00Z Imam, Mahmood Osman Jaber, Md. Ilias https://ar.iub.edu.bd/handle/11348/1392 2026-07-26T08:38:25Z 2014-07-01T00:00:00Z

Earning management of IPOS in Bangladesh—test of value relevance hypotheses: evidence from the Dhaka Stock Exchange Imam, Mahmood Osman; Jaber, Md. Ilias This paper investigates whether entrepreneurs engage in myopic behavior attempting to influence investors’ belief and hence to achieve a high stock price at the floatation by pumping up pre-IPO earnings through the accounting choices. We find evidence, using powerful accrual testing methodology, that entrepreneurs of IPOs coming to the market during 1991-2000, behaved myopically in boosting earnings in the year prior to going public. It is also documented that earnings management had a positive impact on initial firm’s value.

2014-07-01T00:00:00Z