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THE ANTECEDENTS AND CONSEQUENCES OF CONSUMERS’ONLINE PERCEIVED TRUST

Published In: INTERNATIONAL CONFERENCE ON FUTURE TRENDS IN COMPUTING AND COMMUNICATION FTCC
Author(s): CHENG LING TAI , CHIH PEI CHIEN , HSUEH HSUN TU

Abstract: The article proposes a model that related online shopping experience, attitude, reputation, privacy policy, positive rating, word of mouth to purchase intention, medicated by perceived trust. Respondents to the questionnaires were restricted to consumers who had experiences in online shopping in the most recent months. A total of 450 questionnaires were distributed, of which 232 were successfully replied respondents, yielding a usable response rate of 51.5%. Multiple regression analyses were used for hypothesis testing. The results of the study show that attitude, reputation, positive rating have a significant impact on purchase intention. In addition, the mediating impact of perceived trust is partially supported. Suggestions for implications of the research and future research are also presented.

  • Publication Date: 13-Jul-2013
  • DOI: 10.15224/978-981-07-7021-1-21
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UNDERSTANDING USER RESPONSES TOWARDS A MEASUREMENT MODEL USING THE RASCH ANALYSIS

Published In: INTERNATIONAL CONFERENCE ON FUTURE TRENDS IN COMPUTING AND COMMUNICATION FTCC
Author(s): AZIZAH JAAFAR , FARIZA HANIS ABDUL RAZAK , NURUL HIDAYAH MAT ZAIN

Abstract: In this paper, we propose the Rasch analysis for studying an existing measurement model towards a design. The user satisfaction measurement model (e-Learner Satisfaction (ELS) and Website User Satisfaction (WUS)) was used to show how to understand users’ response patterns. A twenty four item questionnaire was adapted based on the user satisfaction measurement model and administered to 86 students. The user satisfaction responses towards the design of the On-line Discussion Site (ODS) in Universiti Teknologi MARA (UiTM) e-learning portal were investigated. Step by step guidance is provided on how data was analyzed in understanding users responses towards the ODS design using the Rasch analysis. The findings from Rasch analysis will reveal the likelihood of user satisfaction with the ODS design. Thus the Rasch analysis was able to provide the most and least agreed items in a measurement model. Thereby system designers can easily identify items that need to be further improved in a design

  • Publication Date: 13-Jul-2013
  • DOI: 10.15224/978-981-07-7021-1-24
  • Views: 0
  • Downloads: 0