MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

The dynamic relationship between motivation, performance, organizational commitment, and job satisfaction: developing a model for a better motivation

Author(s)
Ișik, Abdullah
Thumbnail
DownloadFull printable version (4.516Mb)
Other Contributors
Massachusetts Institute of Technology. Engineering Systems Division.
Advisor
Steven Spear.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
Metadata
Show full item record
Abstract
This study explores the dynamic relationship among motivation, work performance, organizational commitment, and job satisfaction as well as drivers of each of them. Main goal of this study is to understand what factors motivates people better and increase their (i) work performance, (ii) organizational commitment, and (iii) job satisfaction. For this purpose, this study is focused on the factors influencing motivation, work performance, organizational commitment, and job satisfaction. Although the previous research was abundant, there was no research directly focused on four of them at the same time. Moreover, there wasn't a single model to tell about how to increase the level of those focused four variables at the same time. This study (i) combined the empirical data of the related literature to create a model, (ii) then simplified the combined model to create a simple testable literature model, and (iii) tested the simplified literature model. A certain type of section in Organization X was focused to test the model. The actual model-in-use created after conducting interviews with the members of that specific type of section. For the final step, the differences between simplified literature model and actual model-in-use was discussed and recommendations were given. A total of ten independent variables were determined after analysis of interview data. The nine of the independent variables in the actual model-in-use was matched with the independent variables of the simplified literature model. The actual model-in-use has a new independent variable. As the last step of the research, recommendations were formed according to interview data or personal experience; to close the gap.
Description
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 67-70).
 
Date issued
2016
URI
http://hdl.handle.net/1721.1/106251
Department
Massachusetts Institute of Technology. Engineering and Management Program; System Design and Management Program.
Publisher
Massachusetts Institute of Technology
Keywords
Engineering and Management Program., System Design and Management Program., Engineering Systems Division.

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.