Frequency of Usage

2012 ◽  
Vol 4 (2) ◽  
pp. 30-45 ◽  
Author(s):  
Brandis Phillips ◽  
Belinda Shipps
Keyword(s):  
Social Networking ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Factors ◽  
Social Aspect ◽  
Related Factors ◽  
The Social ◽  
Acceptance Model ◽  
A Site ◽  
Social Networking Website

The social networking population continues to expand at a phenomenal pace. Nevertheless, the question of how an organization gets people to spend long periods on a particular social networking website as well as return to the website is becoming increasingly important. Is the technological sophistication of the website or the social aspect most important? This study addresses technological and social factors. The authors examine social network use by employing a survey instrument to gather data about technological factors based on the technology acceptance model and social factors collecting data on constructs representing social involvement and the sheer enjoyment of using the social networking website. Results of the study suggest that users of social networks are more apt to frequently use a site based upon social/enjoyment factors as opposed to technology-related factors.

Technology acceptance model (TAM) and social media usage: an empirical study on Facebook

2014 ◽  
Vol 27 (1) ◽  
pp. 6-30 ◽  
Author(s):  
Rupak Rauniar ◽  
Greg Rawski ◽  
Jei Yang ◽  
Ben Johnson
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Networking Site ◽  
Data Set ◽  
Content Type ◽  
Media Usage ◽  
Usage Behavior ◽  
Acceptance Model

Purpose – Given the widespread popularity of social media, such as Twitter, Facebook, Google+, and LinkedIn, theorizing and understanding the user attitude and usage behavior of social media site is fundamental in developing future understandings and deployment of these new technologies. One approach to such studies on drivers of social media usage behavior would be to revisit the technology acceptance model (TAM). The purpose of this paper is to discuss these issues. Design/methodology/approach – Decades of extensive research have focussed on validating the TAM, proposed by Davis (1986), for various types of information systems and communication technologies. TAM forecasts individual adoption and voluntary use of technology. This study examines individual adoption behavior of the most popular social networking site Facebook. The influences on the intention of using social networking based on individual's perceived ease of use (EU), the user's critical mass (CM), social networking site capability (CP), perceived playfulness (PP), trustworthiness (TW), and perceived usefulness (PU) is empirically examined with a primary data set of 398 users of Facebook gathered from a web-based questionnaire survey. Findings – The results demonstrate that the revised social media TAM model proposed in this study supports all the hypotheses of social media usage behavior. The results of this study provide evidence for the importance of additional key variables to TAM in considering user engagement on social media sites and other social-media-related business strategies. Originality/value – Based on our review of existing scientific literature on social media, few empirical studies have been conducted to scientifically evaluate and explain the usage behavior of social media using Facebook. A validated instrument of usage behavior of social media can provide usability experts and practitioners with a validated tool to assess social media acceptance and usage behavior. This can help us gain a better understanding of “who is and who is not using these sites, why and for what purposes” (Boyd and Ellison, 2007).

scholarly journals Viajantes confiam no conselho obtido nas comunidades de viagem online? um estudo baseado no Technology Acceptance Model (TAM)

2021 ◽  
Vol 10 (3) ◽  
pp. 140-169
Author(s):  
Ayslane Costa da Silva ◽  
Danilo Serafim da Silva ◽  
Luiz Mendes Filho ◽  
Mauro Lemuel De Oliveira Alexandre
Keyword(s):  
Social Sciences ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
The Social ◽  
Acceptance Model

Objetivo do estudo: Analisar os fatores que influenciam o conselho obtido em Comunidades de Viagem Online (CVO) na escolha do destino turístico.Metodologia/abordagem: Trata-se de uma pesquisa do tipo exploratório-descritiva com abordagem quantitativa. Utilizou-se de técnicas de análise estatística e métodos multivariados básicos e avançados como análise fatorial exploratória, confirmatória e modelagem de Equações Estruturais, a partir do Statistical Package for the Social Sciences (SPSS).Originalidade/Relevância: Este estudo substancia os efeitos das dimensões do Technology Acceptance Model (TAM) e da confiança na intenção de seguir o conselho em CVO na escolha de um destino turístico. O Modelo Conceptual derivado desta pesquisa ajuda os profissionais a estimular o envolvimento do cliente a partir da perspectiva das interações de socialização baseadas na confiança e na atitude em relação à CVO.Contribuições teóricas/metodológicas: Ao escolherem a CVO como fonte de informação, viajantes sentem-se confiantes em receber conselhos. As dimensões de confiança (honestidade, benevolência, competência) expressam-se em aspectos de relacionamento mutuo entre os usuários, ao assumirem papel de parceiros na CVO. Ao integrar o TAM, nesse contexto, a confiança reforça a relevância e contribuição teórica de ser antecedente significativo da intenção no comportamento de viagem, sustentada pelo papel social e informal de comunicação em CVO.Principais resultados: A confiança na CVO mostra-se como principal antecedente a fim de formar a atitude em relação ao conselho obtido na CVO, na utilidade percebida do conselho e na intenção de seguir esse conselho na CVO. Por outro lado, a utilidade não demonstrou ser um fator determinante na atitude tampouco na intenção de seguir o conselho obtido na CVO.

scholarly journals iAWARE: Um modelo para Cuidado ubíquo de Pacientes com Transtornos de Ansiedade, Depressão e Estresse utilizando Gamificação e Biodata

2019 ◽  
Author(s):  
Lucas Pfeiff er Salomão Dias ◽  
Jorge Luis Victória Barbosa
Keyword(s):  
Mental Disorders ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Stress Disorders ◽  
Clinical Population ◽  
Depression And Anxiety ◽  
Related Factors ◽  
Anxiety Treatment ◽  
Acceptance Model ◽  
Patient’S History

Depression and anxiety are the most prevalent mental disorders, reaching million people worldwide. As they share many characteristics these two disorders can manifest themselves together. In addition, stress is one of the related factors with both depression and anxiety, being relevant in the analysis of these disorders. This paper proposes a model for ubiquitous care of patients with depression, anxiety and stress disorders (DASD) using gamification and biodata, called iAware. A/B tests evaluated with a clinical population the interaction engagement of the patient to the treatment provided by gamification. Based on the patient’s history, the iAware monitors and applies interventions for the patient at the most appropriate time. Six patients used a prototype with a smartband for two weeks to evaluate iAware. Interactions with intervention stages were greater in patients who used iAware gamified. A more detailed analysis is still required. The evaluated patients got more occurrences of anxiety at home. The patients also filled out a survey based on the Technology Acceptance Model (TAM). TAM results show that patients have found the iAware useful in their anxiety treatment routines.

Driving Forces Behind Participation and Satisfaction with Social Networking Sites

2012 ◽  
Vol 4 (4) ◽  
pp. 33-51 ◽  
Author(s):  
Sandra Maria Correia Loureiro ◽  
F. Javier Miranda ◽  
Ana R. Pires
Keyword(s):  
Young Adults ◽  
Social Networking ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Networking Sites ◽  
Driving Forces ◽  
Ease Of Use ◽  
Acceptance Model

This study aims to investigate the antecedents of participation in and satisfaction with social networking sites (SNS) based on extension of the Technology Acceptance Model. The model is tested on a group of 336 young adults who use Facebook frequently. The findings reveal that identification with the SNS and the degree of influence are two important drivers of the usefulness of the SNS, and in turn, lead to using it more frequently and encouraging others to join. Interaction preference can influence favourably the belief that the SNS is easy to use, however, ease of use does not seem to contribute significantly to individuals participating actively in SNS.

Use of Social Media in Planning Domestic Holidays: A Study on Malaysian Millennials

2020 ◽  
pp. 097639962093850
Author(s):  
Krishna Moorthy ◽  
Nik Mohamad Zaki Nik Salleh ◽  
Ang Xin Jie ◽  
Chan Shu Yi ◽  
Lau Shin Wei ◽  
...  
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Theory Of Planned Behaviour ◽  
Word Of Mouth ◽  
Media Usage ◽  
The Social ◽  
Travel Industry ◽  
Use Of Social Media ◽  
Acceptance Model

This study examines the social media usage of Malaysian millennials in planning their domestic holidays. This study integrated the theory of planned behaviour (TPB) and technology acceptance model (TAM) variables by adding electronic word-of-mouth (e-WOM), as it is a crucial factor influencing the travel industry nowadays. Data were collected from 301 Malaysians. The results show that e-WOM is the greatest antecedent influencing Malaysian millennials to use social media in planning their domestic holidays. Local tourism organizations such as Tourism Malaysia could gain an understanding of the issue through this study, and the promotion of local tourism through social media could be developed to reach millennials in Malaysia.

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