Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Graduate School of Business | en_US |
| dc.creator | Chin, Kar-kin Jimmy | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/5449 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Factors affecting the adoption of a mobile computing system | en_US |
| dcterms.abstract | This study is based on needs theory, three social process theories and six technology adoption models. The social process theories are the cognitive instrumental process, the social influence process and the diffusion process. The technology adoption models are the model of perceived characteristics of using an innovation by Rogers (1983) the technology acceptance model (TAM) by Davis (1989), the theory of planned behavior (TPB) by Ajzen (1991), the conceptual model of utilization by Thompson. Higgins and Howell (1991), the innovation diffusion theory (IDT) by Rai. Ravichandran and Samaddar (1998) and Karahanna. Straub and Chervany (1999) and TAM 2 by Davis and Venkatesh (2000). An extensive literature review was conducted. It was found that each existing technology adoption model was able to describe only certain facets of technology adoption. Social and human factors are largely ignored (Legris, Ingham and Collerette, 2001). To fill in these gaps, a new model is posited to accommodate comprehensively and simultaneously the effects of the needs theory and the three social processes on technology adoption by individuals in organizations. A cross-sectional field study was conducted at a listed public utility company in Hong Kong. The study employed several qualitative methods, including focus groups, interviews and the Delphi method, to generate and triangulate the factors affecting technology adoption by individuals in an organization. Coupled with data collection from actual company records, questionnaires were used to provide a census of the whole user population. Principal components analysis, hierarchical moderated regression and structural equation modeling (SEM) were used to analyze the data collected. Social influence, with a reliability of 0.9l3 and demonstrated construct validity, was found to have a significant effect on intention to use, perceived usefulness, compatibility and perceived ease of use. Compatibility, with a reliability of 0.95 was found to be a moderator moderating the positive relationship between perceived usefulness and intention to use mobile computing system. The proposed model was confirmed with an adjusted R² of 0.6. This research enriched existing technology adoption literature by filling some gaps left by current models which lacked social, organizational and human factors (Legris, Ingham and Collerette, 2001). It provided the in-depth understanding needed for organizations to understand the processes and mechanism of technology adoption by individuals in organizations. | en_US |
| dcterms.extent | viii, 166 leaves : ill. ; 30 cm. | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2005 | en_US |
| dcterms.educationalLevel | All Doctorate | en_US |
| dcterms.educationalLevel | D.B.A. | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.LCSH | Mobile communication systems -- China -- Hong Kong | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b18415027.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 7.51 MB | Adobe PDF | View/Open |
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