Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/359756
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial115
dc.date.accessioned2022-02-03T10:41:06Z-
dc.date.available2022-02-03T10:41:06Z-
dc.identifier.urihttp://hdl.handle.net/10603/359756-
dc.description.abstractThe research objective of this study is to examine the factors influencing newlineadoption of Massive Open Online Courses (MOOC). Based on literature review, newlinea Unified Theory of Acceptance and Use of Technology (UTAUT) model was newlineextended with additional four constructs viz. flow experience, MOOC newlinesatisfaction, network externalities and information quality. The model was newlinefurther extended to include four antecedents of flow experience viz. newlinetelepresence, interactive speed, challenge, and skill. This model and the newlineassociated hypotheses were tested with sequential explanatory mixed method newlinedesign wherein qualitative analysis is used to assist in explaining and newlineinterpreting the findings of a primarily quantitative study. In the quantitative newlinestudy, an online survey questionnaire was used to collect data from individuals, newlinewho would have experienced MOOC. After cleansing of the survey response, newline310 responses were obtained. These responses were analysed using Partial Least newlineSquare Structural Equation Modelling (PLS-SEM) method. The results revealed newlinethat performance expectancy, effort expectancy, facilitating conditions, MOOC newlinesatisfaction, and network externalities directly influenced the behavioural newlineintention to use MOOC. The flow experience and information quality newlineinfluenced the behavioural intention via MOOC satisfaction. Telepresence, newlineskill, and challenge were found to be the antecedence of flow experience in the newlinecontext of MOOC adoption. In the qualitative study, 10 MOOC users were newlineinterviewed. The analysis of the qualitative data helped explain the findings of newlinethe quantitative study.As the primary theoretical contribution, the study provided a comprehensive newlinemodel to explain MOOC adoption. It validated UTAUT in the context of newlineMOOC adoption. It identified flow experience and information quality as newlineindirect determinants of behavioural intention with the mediating role of MOOC newlinesatisfaction. It further identified network externalities as a determinant of behavioural intention.
dc.format.extent115
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleStudy of Factors Influencing the Adoption of Massive Open Online Courses
dc.title.alternative
dc.creator.researcherMulik Shrikant
dc.subject.keywordEducation and Educational Research
dc.subject.keywordSocial Sciences
dc.subject.keywordSocial Sciences General
dc.description.note
dc.contributor.guideManjari Srivastava
dc.publisher.placeMumbai
dc.publisher.universityNarsee Monjee Institute of Management Studies
dc.publisher.institutionDepartment of Marketing
dc.date.registered2016
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Marketing

Files in This Item:
File Description SizeFormat 
80_recommendation.pdfAttached File83.3 kBAdobe PDFView/Open
certificate.pdf103.97 kBAdobe PDFView/Open
chapter 1 - introduction.pdf170.01 kBAdobe PDFView/Open
chapter 2 - review of related literature.pdf299.61 kBAdobe PDFView/Open
chapter 3 - proposed research model.pdf233.27 kBAdobe PDFView/Open
chapter 4 - methodology.pdf258.59 kBAdobe PDFView/Open
chapter 5 - data analysis.pdf671.92 kBAdobe PDFView/Open
chapter 6 - discussion.pdf185.25 kBAdobe PDFView/Open
chapter 7 - conclusion.pdf84.78 kBAdobe PDFView/Open
preliminary pages.pdf204.72 kBAdobe PDFView/Open
title.pdf90.88 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: