A Hybrid Model for Explaining Older Adults' Continuance Intention Toward SNSs

2014 ◽  
Author(s):  
Wei Liu
Keyword(s):  
Older Adults ◽  
Hybrid Model ◽  
Continuance Intention

A hybrid model for exploring the antecedents of cloud ERP continuance

2019 ◽  
Vol 15 (2) ◽  
pp. 215-235 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Hybrid Model ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model

Purpose This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP). Design/methodology/approach Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant. Originality/value Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.

scholarly journals The Continuous Intention of Older Adult in Virtual Reality Leisure Activities: Combining Sports Commitment Model and Theory of Planned Behavior

2020 ◽  
Vol 10 (21) ◽  
pp. 7509 ◽  
Author(s):  
Mei-Yuan Jeng ◽  
Tsu-Ming Yeh ◽  
Fan-Yun Pai
Keyword(s):  
Older Adults ◽  
Virtual Reality ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Behavioral Control ◽  
Leisure Activities ◽  
Strong Support ◽  
Positive Influence ◽  
Perceived Behavioral Control ◽  
Continuance Intention

Digital devices are being increasingly adopted for healthcare purposes. The present study investigates the continuous intention of older adults in virtual reality leisure activities by using a sports commitment model and the theory of planned behavior to develop a new planned behavior model, and by testing the model using a sample of 388 older adults following three months of firsthand experience. The results show that sports commitment has a positive influence on continuance intention, and subjective norms and perceived behavioral control are the strongest predictors of continuous intention in virtual reality leisure activities. Further, the participation of the older adults in virtual reality leisure activities requires strong support from society as well as friends and family in order to produce continued participation. Perceived behavioral control shows that when individuals have more resources and opportunities, they face fewer expected obstacles and have greater continuance intention. In addition, the present study demonstrates that attitude influences behavioral intentions.

scholarly journals Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model

2021 ◽  
Vol 18 (19) ◽  
pp. 10367
Author(s):  
Eunhye Kim ◽  
Semi Han
Keyword(s):  
Older Adults ◽  
Health Behavior ◽  
Online Survey ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Structural Model ◽  
Self Regulation ◽  
Research Model ◽  
Continuance Intention ◽  
Health Apps

Promoting healthy behavior among seniors is important in reducing the burden of care and healthcare expenses in a rapidly aging society. Health apps can play an important role in health promotion for older adults, but the level of user retention in health apps is low. To increase continued health app use among older adults, this study examined the factors influencing older users’ continuance intentions to use health apps. The research model was developed based on the social cognitive theory of health behavior, which integrates cognitive, environmental, and behavioral perspectives. To test the research model, an anonymous online survey was conducted among respondents aged 60 to 79 years who were using health apps. The measurement items in the questionnaire were developed based on validated scales from the literature. A total of 250 samples were analyzed. The assessment of the measurement model indicates that the reliability and validity of the items are satisfactory. The results of testing the structural model illustrate the determinants of health app continuance intention: health technology self-efficacy, self-evaluative outcome expectations, self-regulation, and privacy risk. The interrelationships among determinants are also investigated. Theoretical and practical implications are suggested to encourage older adults’ continued health app use and promote their health behavior over the long term.

Concept analysis of coping with arthritic pain by South Korean older adults: Development of a hybrid model

2006 ◽  
Vol 8 (1) ◽  
pp. 10-19 ◽  
Author(s):  
Gyeong-Ae Seomun ◽  
Sung Ok Chang ◽  
Pyoung Sook Lee ◽  
Sook Ja Lee ◽  
Hyun Jeong Shin
Keyword(s):  
Older Adults ◽  
Hybrid Model ◽  
Concept Analysis ◽  
South Korean

scholarly journals Understanding the Key Factors of Older Adults’ Continuance Intention in Congregate Meal Halls

Foods ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2638
Author(s):  
Wang-Chin Tsai ◽  
Xuqi Chen
Keyword(s):  
Older Adults ◽  
Service Quality ◽  
Key Factors ◽  
Continuance Intention ◽  
Perceived Service Quality ◽  
Perceived Satisfaction ◽  
Intention To Participate ◽  
Congregate Meal Program ◽  
Main Factor

Eating congregate/community meals with friends promotes a balanced and healthy diet among older adults. It is helpful for postponing aging, preventing chronic diseases, and improving their quality of life. However, little research has examined the continuance intention for older adults with the congregate meal program in Taiwan. This study established a model for key factors of older adults’ continuance intention dining at senior meal halls, and hypotheses to explain them, and subsequently designed questionnaires and scales. By analyzing the longitudinal data collected from 416 individuals using survey questionnaires, we found that the perceived service quality is the main factor that affects the perceived satisfaction, and the perceived satisfaction of the older adults plays an important role in this survey. It showed that if the older adults are satisfied with the service quality provided by the senior meal halls, which will accordingly affect the post-use trust, they will show a positive continuance intention to participate in the senior meal halls. We also found that the older adults have positive views on the planning and service contents of the existing senior meal halls. Together, these results illustrate the process and provide comprehensive insights and evidence to create a better user experience and improve the satisfaction of the congregate meal for older adults.

Effects of user experiences on continuance intention of using immersive three‐dimensional virtual reality among institutionalized older adults

2021 ◽  
Author(s):  
Chiu‐Mieh Huang ◽  
Jung‐Yu Liao ◽  
Tsung‐Yi Lin ◽  
Hsiao‐Pei Hsu ◽  
Tzu‐Chi Charles Lee ◽  
...  
Keyword(s):  
Older Adults ◽  
Virtual Reality ◽  
Three Dimensional ◽  
Continuance Intention ◽  
User Experiences
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