Relationship Between Leadership and Mortgage Banking End-user Computing Efficiency

Relationship Between Leadership and Mortgage Banking End-user Computing Efficiency

Author: 
Kannan Deivasigamani
Program of study: 
D.M./IST
Abstract: 
Risk of EUC inefficiency leads to non-compliance and loss to mortgage organizations. The purpose of this quantitative study was an attempt to reveal whether a relationship existed between Leadership End User Computing (EUC) initiatives and mortgage banking EUC efficiency within the United States using a correlational design and a regression model. The study was conducted using a purposive sample with a sample size of 374 participants and with 95% confidence interval and 5% margin of error as indicated by the sample size calculator used in this study preceded by a pilot study. The sample size of the pilot study was 100 participants as a minimum sample size of 30 participants was necessary to establish a robust Cronbach’s alpha. The data analysis tool used was SAS University edition. The findings of this study indicated that there was a direct positive relationship between the two constructs, leadership EUC initiatives and EUC efficiency.
Dedication: 
I dedicate this dissertation to my mom who has always wished me to be a doctor as long as I can remember, and my dad who has encouraged me at every opportunity he had throughout my journey.
Acknowledgements: 
I would like to thank my wife, Sumathi and my children Vikram and Meena who have a big part in my success. I would like to thank my chair Dr. Susan Ferebee who has stayed with me from the beginning to the end, guided me through challenges, and directed me along the right path. I would like to thank my committee member Dr. Armando Paladino who stepped up at a difficult time, and was able to rescue me when I was short of a committee member. I would like to thank Dr. Anuj Puri whose EUC expertise was invaluable to my research, right from the moment when I created the instrument, and carried out my analysis and research. I would also like to thank Dr. Keri Heitner who was part of my committee in the beginning and could not continue but had helped me through several remarks and suggestions to improve the quality of my dissertation. I would also like to thank Dr. Upavan Gupta, Dr. Srinivasan, Mrs. Meghala, Mr. Rayaprolu, and Dr. Sandoval who helped with comments on improving my instrument. I would like to thank Dr. Douglas Lunsford, who has helped me in developing my instrument, advised me throughout my journey, and kept me inspired until I reached my finish line. I would like to thank the respondents who participated in my research during my data collection. I would like to thank my boss, Mark Chesta, the management team at HSBC who supported my doctoral education including Wayne Littrell, Michael Banyas, George Okammor, April Routt and Bill Rogers. I would finally like to thank the University of Phoenix for making my dream come true.