Explaining the Use of Social Network Sites as Seen by Older Adults: The Enjoyment Component of a Hedonic Information System

Ramírez-Correa, Patricio; Grandón, Elizabeth E.; Ramírez-Santana, Muriel; Órdenes, Leonard Belmar

doi:10.3390/ijerph16101673

Cited by 49 publications

(39 citation statements)

References 45 publications

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“…Smart elderly care is known as smart home services which means that various information of the elderly is monitored at anytime, anywhere and comprehensively through technologies, such as the Internet of Things [7,33]. The smart elderly care originates from intelligent city development.…”

Section: Literature Reviewmentioning

confidence: 99%

Using Neighborhood Rough Set Theory to Address the Smart Elderly Care in Multi-Level Attributes

Zhou

Tan

et al. 2020

Symmetry

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The neighborhood rough set theory was adopted for attributes reduction and the weight distribution of condition attributes based on the concept of importance level. Smart elderly care coverage rate is low in China. A decisive role in the adoption of smart elderly care is still a problem that needs to be addressed. This study contributes to the adoption of smart elderly care was selected as the decision attribute. The remaining attributes are used as conditional attributes and the multi-level symmetric attribute set for assessing acceptance of smart elderly care. Prior studies are not included smart elderly care adoption attributes in multi-levels; hence, this problem needs to be addressed. The results of this study indicate that the condition attribute of gender has the greatest influence on the decision attribute. The condition attribute of living expenses for smart elderly care has the second largest impact on decision attribute. Children’s support for the elderly decency of the novel elderly care system and the acceptance of non-traditional elderly care methods belong to the primary condition attribute of traditional concept. The result indicates traditional concepts have a certain impact on the adoption of smart elderly care and a condition attribute of residence also has a slight influence on the symmetric decision attribute. The sensitivity analysis shows the insights for uncertainties and provides as a basis for the analysis of the attributes in the smart elderly care service adoption.

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Section: Literature Reviewmentioning

confidence: 99%

Using Neighborhood Rough Set Theory to Address the Smart Elderly Care in Multi-Level Attributes

Zhou

Tan

et al. 2020

Symmetry

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“…The results were consistent with the study of Al-Rahmi [42] who found a positive and significant association among perceived usefulness and social network sites in learning the Quran and Hadith. Similarly, Ramirez [74] found that perceived ease of use is a reliable prognosticator of social networks sites usage. Additionally, [76] indicated that perceived ease of use had positive effects on managers' intention to adopt e-commerce services.…”

Section: B Model Analysismentioning

confidence: 94%

“…Sago [73] also found that the frequency usage of social network sites is positively impacted by the level of perceived usefulness provided by social network sites services. Likewise, Ramirez [74] found that perceived usefulness is positively associated with the use of social network sites. Furthermore, Al-Sharafi [79], found that perceived usefulness is positively associated with the user intention to use internet banking services.…”

Section: B Model Analysismentioning

confidence: 98%

Towards Social Network Sites Acceptance in e-Learning System: Students Perspective at Palestine Technical University-Kadoorie

Ayyash¹,

Herzallah²,

Ahmad³

2020

IJACSA

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This study aims to examine social network sites acceptance in an e-Learning system and to propose a model encompassing determining factors that affect students' intentions to use social network sites in the e-Learning system. The proposed model was built based on the Technology Acceptance Model (TAM), perceived enjoyment, social influences, and perceived information security from the literature review. The quantitative method of data collection using a questionnaire survey is used in the current study. The data analysed using a structural equation modeling (SEM) approach through partial least square (PLS) software version 3. The results indicated that perceived ease of use, perceived usefulness, perceived enjoyment, social influences, and perceived information security has a significant and positive impact on student's acceptance of social network sites in an e-Learning system at Palestine Technical University-Kadoorie. Theoretical and practical implications discussed.

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“…It also includes the health conditions that can be improved during adoption and use [26]. Moreover, the social gratification that can be achieved to reduce loneliness and enhance communication with friends [27]. The degree of difficulty of learning and operation includes the degree of difficulty that older users think they can complete the work themselves.…”

Section: Product Technical Characteristicsmentioning

confidence: 99%

Exploring the Systematic Attributes Influencing Gerontechnology Adoption for Elderly Users Using a Meta-Analysis

et al. 2020

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This study aims to explore the key systematic attributes influencing the acceptance of gerontechnology by seniors in response to global aging and rapid technological progress. A meta-analysis was carried out to quantitatively synthesize the results of 25 empirical studies published from 2010 to 2020. After standardized coding and descriptive statistics, as well as tests and analysis of main effects and heterogeneity, publication bias. The following results were obtained: Perceived usefulness and perceived ease of use have a significant positive impact on the user’s attitude and behavioral intention; performance expectancy, effort expectancy, trust, technical performance and subjective norm have a significant positive correlation with the user’s behavioral intention; social influence, facilitating conditions have a positive correlation with the user’s behavioral intention; anxiety has a significant negative correlation to the user’s behavioral intention. The key systematic influencing attributes are classified into three categories: (1) User individual characteristics; (2) product and technical characteristics; and (3) environmental characteristics. This study provides researchers and practitioners with a systematic evidence-based basis to reduce the gap in decision-making for gerontechnology practices.

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Explaining the Use of Social Network Sites as Seen by Older Adults: The Enjoyment Component of a Hedonic Information System

Cited by 49 publications

References 45 publications

Using Neighborhood Rough Set Theory to Address the Smart Elderly Care in Multi-Level Attributes

Using Neighborhood Rough Set Theory to Address the Smart Elderly Care in Multi-Level Attributes

Towards Social Network Sites Acceptance in e-Learning System: Students Perspective at Palestine Technical University-Kadoorie

Exploring the Systematic Attributes Influencing Gerontechnology Adoption for Elderly Users Using a Meta-Analysis

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