The purpose of this study was to develop and test a scale that can measure the co-creation experience, resulting value, and behavioral intentions in MEI. The study addresses six objectives: (1) To propose a framework of co-creation, (2) To evaluate what constructs of co-creation are needed, (3) To analyze how and what value is created, (4) To evaluate how co-creation impacts behavioral intentions, (5) To evaluate how value impacts behavioral intentions, and (6) To create a model that tests the co-creation experience and resulting value and behavioral intentions in MEI. This dissertation employed a mixed-method approach. A qualitative study was conducted to develop and define the constructs, wherein a survey was developed. The survey led into the quantitative portion of the study, which measured co-creation, so a scale was created and tested. Statistical analyses consisted of exploratory factor analyses, confirmatory factor analyses, and partial least squares structural equation modeling. Study results indicate that the developed co-creation scale is reliable and identified what dimensions of co-creation exist with MEI. The research findings suggest that co-creation can be used to facilitate more interactive experiences within the museum, exhibition, and installation environment. Co-creation not only encourages greater interaction but leads to enhanced value and positive behavioral intentions. This study provided a better understanding of the co-creation experience including how attendees co-create, and how to enhance the value added which can impact behavioral intentions. By identifying the constructs to measure co-creation, value, and behavioral intentions, event designs may be planned to stimulate true co-creation, welcoming the interaction and input from all actors. This study provided a "Collage of Co-Creation" which can direct future research to develop a comprehensive scale of co-creation.
Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-7074 |
Date | 01 January 2018 |
Creators | Mathis, Elaine |
Publisher | STARS |
Source Sets | University of Central Florida |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Electronic Theses and Dissertations |
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