Organizational Restructuring and Job Growth: A Predictive Correlational Study

Organizational Restructuring and Job Growth: A Predictive Correlational Study

Author: 
Zaziiz S. L. Dinkins
Program of study: 
D.B.A.
Abstract: 
Investigated in the quantitative predictive correlational study were the possible correlations between organizational restructuring (control, innovation, and efficiency), and job growth, (employment growth). Responses from two web-based surveys from 88 company officials, who worked for companies that restructured and experienced job growth between February 2010 and February 2016, were analyzed using descriptive and inferential statistics, including correlation analysis and regression analysis. Other tools that were used to add to the literature in the study were the Microsoft Excel Data® and MegaStat Add-ins Statistical Software®, scatter plot diagrams, and a Likert-type scale questionnaire: Howard Deutsch’s (2012) NJOD Organizational Effectiveness Survey. The predictive correlational model was also used to determine to what degree there was a relationship between two or more variables and how best to model the relationship between the predictor variables of organizational restructuring – control, innovation, and efficiency, and the criterion variable of job growth - employment growth. Discovered in the findings was no statistically significant relationship between organizational restructuring (control, innovation, and efficiency) and job growth (employment growth). Analysis in the study offered an understanding of the roles managers and employees played in the restructuring process and led to better insights into the impact of organizational restructuring and job growth.
Dedication: 
I dedicate this study to the glory of my God and my Lord and Savior, Jesus Christ, who is the head of my life and who have kept me and brought me through thick and thin, through all the ups and downs. I am forever grateful and thankful. I also dedicate this study to my family, who has supported and encouraged me to fulfill my dreams. I love you so much.
Acknowledgements: 
First and foremost, I thank my God and my Lord and Savior Jesus Christ for bringing me through this long and arduous journey. I thank my family who has been by my side, supporting me relentlessly, never wavering. I thank my Chair and Mentor, Dr. Oliver Lawrence who guided me through my studies and continually shared his knowledge, expertise, and leadership. I thank my committee members, Drs. Josephine Hauer and Joseph Holloway, for their patience and guidance throughout the journey. I also thank and extend my gratitude to Dr. Fredrick P. Lawrence, and Roberta Bledsoe, for their guidance and assistance with the statistical analysis and Dr. Karen Bammel for her editorial coaching. I thank Dr. Marilyn Simon for her advice and friendship. Thanks also to Charles Soble, Marc Goldberg, and James Stahly of SCORE, Dr. Barbara Carnes, Professor, University of Phoenix, Alfreda Goods, Instructor at Boricua College, and Dr. Shivaji Sengupta, Vice President, Boricua College, for their many advice and feedback. To Malcolm Parker, my Academic Advisor, Jonathan Booker, my Financial Advisor, and Alex Edwards, my Enrollment Advisor, thank you for your outstanding service and guidance. Last but not least, thanks to all my classmates for the opportunity to learn next to them, to all my professors and the staff at the University of Phoenix. I am very grateful to all of you for your time and commitment, and for the kindness you have shown over the duration of my doctoral studies. May God bless you all, and keep you and your family safe.