Literature DB >> 25007955

Assessing the relationship between technology readiness and continuance intention in an E-appointment system: relationship quality as a mediator.

Shih-Chih Chen1, Din Jong, Min-Tsai Lai.   

Abstract

Numerous types of self-service technologies have prevailed due to innovations in network and information technology. To hospitals, patient intentions to continue to use the e-appointment system are crucial. Previous investigations discussed only the relationships between the technology readiness of users and their continuance intentions, and ignored the most important mediator, relationship quality. This study explored the relationships among technology readiness, relationship quality, and continuance intention. The research results demonstrated that both optimism and innovativeness significantly and positively influenced continuance intention through the mediating effect of relationship quality. However, discomfort and insecurity hid not significantly influence relationship quality or continuance intention. Finally, theoretical contributions, managerial implications and future research directions were discussed.

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Year:  2014        PMID: 25007955     DOI: 10.1007/s10916-014-0076-3

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  9 in total

1.  Evaluation of computerized physician order entry system-a satisfaction survey in Taiwan.

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Journal:  J Med Syst       Date:  2012-05-02       Impact factor: 4.460

2.  Influence of dentistry students' e-Learning satisfaction: a questionnaire survey.

Authors:  Man-Ling Chen; Zhi-Yuan Su; Teng-Yen Wu; Tien-Yu Shieh; Chi-Hui Chiang
Journal:  J Med Syst       Date:  2010-02-12       Impact factor: 4.460

3.  An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry.

Authors:  Feng-Cheng Tung; Su-Chao Chang; Chi-Min Chou
Journal:  Int J Med Inform       Date:  2007-07-23       Impact factor: 4.046

Review 4.  Reporting practices in confirmatory factor analysis: an overview and some recommendations.

Authors:  Dennis L Jackson; J Arthur Gillaspy; Rebecca Purc-Stephenson
Journal:  Psychol Methods       Date:  2009-03

5.  Integrating technology readiness into the expectation-confirmation model: an empirical study of mobile services.

Authors:  Shih-Chih Chen; Ming-Ling Liu; Chieh-Peng Lin
Journal:  Cyberpsychol Behav Soc Netw       Date:  2013-06-21

6.  Understanding the mediating effects of relationship quality on technology acceptance: an empirical study of e-appointment system.

Authors:  Shih-Chih Chen; Shih-Chi Liu; Shing-Han Li; David C Yen
Journal:  J Med Syst       Date:  2013-10-19       Impact factor: 4.460

7.  Exploring the technology readiness of nursing and medical students at a Canadian University.

Authors:  Amy L Caison; Donna Bulman; Shweta Pai; Doreen Neville
Journal:  J Interprof Care       Date:  2008-06       Impact factor: 2.338

8.  Nurses' views on electronic medical records (EMR) in Turkey: an analysis according to use, quality and user satisfaction.

Authors:  Mehmet Top; Omer Gider
Journal:  J Med Syst       Date:  2011-02-08       Impact factor: 4.460

9.  Engagement in E-learning opportunities: an empirical study on patient education using expectation confirmation theory.

Authors:  Hsin-Kai Chou; I-Chun Lin; Lin-Chung Woung; Ming-Tsu Tsai
Journal:  J Med Syst       Date:  2010-11-23       Impact factor: 4.460

  9 in total
  3 in total

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Journal:  Int J Environ Res Public Health       Date:  2020-11-09       Impact factor: 3.390

Review 2.  Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis.

Authors:  Tong Wang; Wei Wang; Jun Liang; Mingfu Nuo; Qinglian Wen; Wei Wei; Hongbin Han; Jianbo Lei
Journal:  NPJ Digit Med       Date:  2022-09-15

3.  Effects of Psychological Factors on Modal Shift from Car to Dockless Bike Sharing: A Case Study of Nanjing, China.

Authors:  Xinwei Ma; Ruiming Cao; Jianbiao Wang
Journal:  Int J Environ Res Public Health       Date:  2019-09-14       Impact factor: 3.390

  3 in total

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