The purpose of this study is to present the influence of personal and institutional factors on st... more The purpose of this study is to present the influence of personal and institutional factors on students' satisfaction in the context of developing country that further investigate the link between students' satisfaction and retention. A self-develop questionnaire that comprised of personal and institutional factors was used for data collection. Data were collected from 350 respondents including two public and one private university in Pakistan. Convenience sampling technique was used for data collection. Data were analyzed through SPSS 19.0. In order to check hypothesis, regression analysis was applied which explains that how personal and institutional factors significantly influences students' satisfaction and students' satisfaction influences students' retention. Results reveal that students' involvement and excellence of campus climate are more significant predictors of students' satisfaction as well as students' satisfaction predicts students' retention. This study has just focused on personal and institutional factors that affecting students' satisfaction in business schools. Other dimensions of students' satisfaction can be explored and extension of existing model can be done with the integration of marketing concept that is generating positive word of mouth as well as comparison among different schools can be investigated. Results from this study provide direction to institutions about strategic planning that how they can maximize the level of students' satisfaction by incorporating institutional and personal factors.
Journal of Business Systems, Governance & Ethics, 2014
The present exploratory study is based on the 'Entrepreneurial Intention Model' and has its found... more The present exploratory study is based on the 'Entrepreneurial Intention Model' and has its foundation in 'Planned Behavioural Theory'. The main focus of the study is on measuring factors affecting Entrepreneurial Intentions among business students in Pakistan. Apart from demographics, the study is particularly focused on personal attraction, perceived social norms and perceived social behaviour. The paper is based on systematic sampling methodology and targets business graduates and nascent entrepreneurs. The study will provide useful implications for educational institutions within the field of business and management, and off course for government policy makers.
The active contour models are widely used for segmentation. The Biomedical images require quality... more The active contour models are widely used for segmentation. The Biomedical images require quality segmentation that can only be provided by active contours plus we need computational complexity as well. In this paper, a new model is proposed for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford Shah functional and level sets. Those objects can also be detected whose gradient is not necessarily defined. Energy is minimized that can be particular case of minimal partition problem. Stopping term is related to particular segmentation rather instead of dependent on gradient of image. At last, various experimental results are presented and the differences of this model with other techniques are also elaborated. The initial curve can be anywhere in the image and interior contours are automatically detected.
The purpose of this study is to present the influence of personal and institutional factors on st... more The purpose of this study is to present the influence of personal and institutional factors on students' satisfaction in the context of developing country that further investigate the link between students' satisfaction and retention. A self-develop questionnaire that comprised of personal and institutional factors was used for data collection. Data were collected from 350 respondents including two public and one private university in Pakistan. Convenience sampling technique was used for data collection. Data were analyzed through SPSS 19.0. In order to check hypothesis, regression analysis was applied which explains that how personal and institutional factors significantly influences students' satisfaction and students' satisfaction influences students' retention. Results reveal that students' involvement and excellence of campus climate are more significant predictors of students' satisfaction as well as students' satisfaction predicts students' retention. This study has just focused on personal and institutional factors that affecting students' satisfaction in business schools. Other dimensions of students' satisfaction can be explored and extension of existing model can be done with the integration of marketing concept that is generating positive word of mouth as well as comparison among different schools can be investigated. Results from this study provide direction to institutions about strategic planning that how they can maximize the level of students' satisfaction by incorporating institutional and personal factors.
Journal of Business Systems, Governance & Ethics, 2014
The present exploratory study is based on the 'Entrepreneurial Intention Model' and has its found... more The present exploratory study is based on the 'Entrepreneurial Intention Model' and has its foundation in 'Planned Behavioural Theory'. The main focus of the study is on measuring factors affecting Entrepreneurial Intentions among business students in Pakistan. Apart from demographics, the study is particularly focused on personal attraction, perceived social norms and perceived social behaviour. The paper is based on systematic sampling methodology and targets business graduates and nascent entrepreneurs. The study will provide useful implications for educational institutions within the field of business and management, and off course for government policy makers.
The active contour models are widely used for segmentation. The Biomedical images require quality... more The active contour models are widely used for segmentation. The Biomedical images require quality segmentation that can only be provided by active contours plus we need computational complexity as well. In this paper, a new model is proposed for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford Shah functional and level sets. Those objects can also be detected whose gradient is not necessarily defined. Energy is minimized that can be particular case of minimal partition problem. Stopping term is related to particular segmentation rather instead of dependent on gradient of image. At last, various experimental results are presented and the differences of this model with other techniques are also elaborated. The initial curve can be anywhere in the image and interior contours are automatically detected.
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Papers by Mohsin Rehman