scholarly journals E-Learning and Social Media Motivation Factor Model

2015 ◽  
Vol 9 (1) ◽  
pp. 20 ◽  
Author(s):  
Mohd Shafie Rosli ◽  
Nor Shela Saleh ◽  
Baharuddin Aris ◽  
Maizah Hura Ahmad ◽  
Abbas Abjoli Sejzi ◽  
...  
Keyword(s):  
Social Media ◽  
Educational Technology ◽  
Social Influence ◽  
Structural Equation ◽  
Factor Model ◽  
Equation Modeling ◽  
Postgraduate Students ◽  
E Learning ◽  
Use Of Social Media ◽  
Faculty Of Education

<p class="apa">The aims of this study are to probe into the motivational factors toward the usage of e-learning and social media among educational technology postgraduate students in the Faculty of Education, Universiti Teknologi Malaysia. This study had involved 70 respondents via the means of a questionnaire. Four factors have been studied, named, the factor of technology, exposure, content and social influence. Via Structural Equation Modeling (SEM), this research uncovers that respondents usage of e-learning is being motivated by the factor of technology and content. The respondents use of social media was found to be motivated by the factor of technology and social influence. A strong positive relationship exists between the usage of e-learning and social media suggesting that social media can be manipulated as supporting material for e-learning. Yet, the finding may not be generalized to all Malaysian educational technology postgraduate students.</p>

scholarly journals Late-Night Use of Social Media and Cognitive Engagement of Female Entrepreneurs: A Stressor–Strain–Outcome Perspective

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110376
Author(s):  
Fakhar Shahzad ◽  
Adnan Abbas ◽  
Adnan Fateh ◽  
Raja Suzana Raja Kasim ◽  
Kashif Akram ◽  
...  
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Online Survey ◽  
Cognitive Engagement ◽  
Equation Modeling ◽  
Negative Consequences ◽  
Female Entrepreneurs ◽  
Late Night ◽  
Use Of Social Media ◽  
Outcome Perspective

The excessive use of social media is an emerging phenomenon with several negative consequences in an entrepreneurial context. Based on the stressor–strain–outcome paradigm, this research aims to unveil the following: that social media late-night usage can affect two psychological strains (life invasion and technostress) among female entrepreneurs and thus influence their behavioral outcome (cognitive engagement). This study empirically tested the proposed mediation model using an online survey of 225 female entrepreneurs from the small- and medium-sized enterprise sector. A partial least squares structural equation modeling (PLS-SEM) was implemented to obtain the results. The findings indicate that late-night social media usage significantly raises life invasion and technostress among female entrepreneurs. Moreover, internal strains (life invasion and technostress) reduce female entrepreneurs’ cognitive engagement and significantly mediate the association between late-night use of social media and entrepreneurial cognitive engagement. This study draws associated practical and theoretical contributions based on findings, which were not previously discussed.

Understanding social media advertising effect on consumers’ responses

2018 ◽  
Vol 31 (3) ◽  
pp. 426-445 ◽  
Author(s):  
Manel Hamouda
Keyword(s):  
Social Media ◽  
Corporate Reputation ◽  
Structural Equation ◽  
Communication Strategy ◽  
Equation Modeling ◽  
Moderator Effect ◽  
Content Type ◽  
Advertising Effect ◽  
Social Media Advertising ◽  
Use Of Social Media

Purpose This study aims to deepen the current understanding of social media advertising by using the Ducoffe’s advertising value model. The purpose of this paper is to examine the antecedents of advertising value and its consequences on consumers’ attitude and behavior in the specific context of tourism advertising on Facebook. Design/methodology/approach Survey was conducted on a quota sample of 352 Tunisian Facebook users. Web-based questionnaires were used to collect the data which was analyzed using exploratory factor analysis and structural equation modeling. Findings Findings indicate that there is a significant relationship between informativeness, entertainment, credibility and social media advertising value. This positive value will affect favorably consumers’ attitude toward social media advertising and their behavioral responses. The moderator effect of corporate reputation was also confirmed in this relationship. Practical implications Tourism marketers should focus not only on developing information-rich and entertaining social media advertisements but also a credible content of the ads. Furthermore, Facebook should be systematically integrated by tourism practitioners in their communication strategy as it affects the attitude and consequently the behavior of the consumers especially when the company using social media advertising has a good corporate reputation. Originality/value In the tourism context, the effectiveness of social media advertising remains little known to practitioners and scholars despite the frequent use of social media by tourism customers and companies in recent years. So, this research study contributes to a better understanding of the use of social media advertising on Facebook regarding tourism products and services.

The Impact of Social Media Platforms “Instagram” and “Snapchat” on the Purchasing Decision - Structural Equation Modelling Approach

2020 ◽  
Vol 10 (1) ◽  
pp. 72-94
Author(s):  
Eman Ali Alghamdi ◽  
Naima Bogari
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Positive Impact ◽  
Young Female ◽  
Equation Modeling ◽  
Purchasing Decision ◽  
Social Media Platforms ◽  
Media Platform ◽  
Use Of Social Media ◽  
The Impact

Social media (SM) tools have an immense potential in e-marketing and online shopping. However, there is a lack of researches on the use of social media platform as effective marketing tools. This study has aimed to investigate the revolution of social media in Saudi Arabia through understanding the impact of two popular SM platforms (Instagram and Snapchat) on the purchasing decision of Saudi customers through advertisements and blogger recommendations. Structural equation modeling (SEM) was used to develop a model, which was tested using Confirmatory factor analysis (CFA). The results indicated a positive impact of social media platforms on the purchasing decision of young female users. Moreover, the effectiveness of these platforms in generating electronic-word of mouth (eWOM) among consumers was highlighted. However, further research is needed to promote marketeers and consumers' awareness in the digital marketplace.

Factors influencing Generation Y’s tourism-related social media activity: the case of Polish students

2020 ◽  
Vol 11 (3) ◽  
pp. 543-558
Author(s):  
Joanna Kowalczyk-Anioł ◽  
Marek Nowacki
Keyword(s):  
Social Media ◽  
Social Influence ◽  
Technology Acceptance ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Related Activity ◽  
Content Type

Purpose This study aims to identify the factors which affect Generation Y’s activity in social media (SM) while traveling. It draws on and extends the technology acceptance model (TAM) and social influence theory. It examines the effects of social influence processes (compliance, identification and internalization), perceived enjoyment (PE), perceived risk, perceived ease of use and perceived usefulness on tourism-related SM activity. Design/methodology/approach The study tested the model with a sample of 420 Polish Y’s who had traveled in the preceding 12 months and used SM. The verification of the hypotheses and the analysis of relationships between the variables were performed using partial least squares structural equation modeling. Findings Out of the four variables of the TAM, only PE has significantly and directly affected Ys’ tourism-related activity in SM. From among the three processes of social influence, only internalization has had a significant impact on the enjoyment of SM use and, consequently, on the SM activity of Generation Y. Research limitations/implications This study covered only Polish Y’s. In the future, the formulated hypotheses should be verified in other generational cohorts, in sub-cohorts of Y’s and in other cultural contexts. Furthermore, limitations include lack of randomization of the survey distribution. Practical implications The presented results show a generational portrait of an increasingly important consumer group on the tourism market in relation to factors affecting their tourism-related activity in SM. Originality/value This is one of few studies (the first in the Central and Eastern Europe context) to examine Generation Y’s adoption of SM in tourism-related activity drawing on and extending the TAM and processes of social influence.

scholarly journals Determinants of e-learning acceptance amongst Iranian postgraduate students

2022 ◽  
Vol 6 (2) ◽  
pp. 181-191
Author(s):  
Fatima Baji ◽  
Fereydoun Azadeh ◽  
Zivar Sabaghinejad ◽  
Amir Zalpour
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Validity And Reliability ◽  
Postgraduate Students ◽  
E Learning ◽  
Self Reporting Questionnaire

E-learning can address some of the unmet needs of learners and educational communities; however, not all learners and educators accept e-learning as a delivery modality. This research endeavored to study the factors which affect e-learning acceptance among Iranian post-graduate students using the Davis Technology Acceptance Model (TAM) and to identify the changes which would facilitate their improved acceptance and subsequent wider use of e-learning. This descriptive-correlation study was conducted by surveying 320 Iranian postgraduate students using a self-reporting questionnaire. Structural equation modeling was used for data analysis through LISREL software. Results revealed sufficient validity and reliability of the TAM among Iranian postgraduate medical students. Perceived ease of use, perceived usefulness of e-learning, students’ attitudes toward e-learning, and the intention to use e-learning positively affected e-learning’s acceptance (p < 0.05) among Iranian postgraduate students. According to the results, attitudes toward e-learning have more predictive power than other TAM constructs. Therefore, emphasis on students’ favorable attitudes toward e-learning can be effective in accelerating its acceptance and will progress students’ learning outcomes.

scholarly journals Social Media Factors and Teen Gadget Addiction Factors in Indonesia

2021 ◽  
Vol 3 (1) ◽  
pp. 67-77
Author(s):  
Nesti Anggraini Santoso ◽  
Alwiyah ◽  
Efa Ayu Nabila
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Data Science ◽  
Positive Impact ◽  
Research Result ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Social Media Addiction ◽  
Use Of Social Media

Social media users in Indonesia are growing rapidly since its emergence. In 2019, one of the largest social media platforms, Facebook has 3 billion users worldwide as well as 130 million users from Indonesia. Moreover, other social media such as Instagram also experienced significant growth with most of its users being teenagers. Massive use of social media is caused by more than 100 million active users using gadgets or smartphones to open apps such as social media. Widespread use of social media and gadgets not only has a positive impact but also negative impacts such as mental and behavioral disorders if the user is already addicted. Therefore, the need to know the factors that influence social media addiction and gadgets in Indonesia is necessary to prevent the occurrence of social media and gadget addiction. In this paper, the influence factors of social media addiction and gadgets in Indonesia are examined using several techniques such as data science, partial least square, and structural equation modeling. Research result: Time, Productivity and Relationships are factors that influence social media addiction and gadgets, whereas Mind is not a factor that affects social media addiction and gadgets.

Antecedents and consequences of public administration’s social media website attractiveness

2018 ◽  
Vol 86 (1) ◽  
pp. 38-61 ◽  
Author(s):  
Bernd W. Wirtz ◽  
Vincent Göttel ◽  
Paul F. Langer ◽  
Marc-Julian Thomas
Keyword(s):  
Social Media ◽  
Public Administration ◽  
Structural Equation ◽  
Positive Influence ◽  
Public Institution ◽  
Equation Modeling ◽  
Open Platform ◽  
Model Based ◽  
Antecedents And Consequences ◽  
Use Of Social Media

With regard to the increasing use of social media channels in public administrations, this study investigates antecedents and consequences of public administration’s social media website attractiveness, focusing on the local government level. We derive a model based on the Uses and Gratifications Theory and apply a structural equation modeling approach by testing our model based on a survey data of 164 citizens in Germany using social media websites in the context of public administration. As a result, we find that Social Motivation, User-Generated Content and Public Administrator-Generated Content have a significant positive influence on Attractiveness. Moreover, Attractiveness positively affects both Intention to Use and Word-of-Mouth (WoM) Intention. Points for practitioners The attractiveness of public institutions’ social media websites such as Facebook depends on three factors: (1) users wish to get connected to other users and (2) the appeal of its content generated by the public institution as well as (3) by other users. Empirical data suggest that the increase in attractiveness of respective social media pages will make users use the social site more often and will also make users recommend the page to others. Against this background, social media page managers of public administration websites will focus on providing an open platform for citizens to exchange information and provide appealing and citizen-oriented content.

scholarly journals Factors Influencing Self-Regulation in E-learning 2.0: Confirmatory Factor Model | Facteurs qui influencent la maîtrise de soi en cyberapprentissage 2.0 : modèle de facteur confirmative

2016 ◽  
Vol 42 (2) ◽  
Author(s):  
Hong Zhao
Keyword(s):  
Hong Kong ◽  
User Satisfaction ◽  
Structural Equation ◽  
Information Quality ◽  
Success Factors ◽  
Factor Model ◽  
Self Regulation ◽  
Equation Modeling ◽  
System Quality ◽  
E Learning

The importance of self-regulation in e-learning has been well noted in research. Relevant studies have shown a consistent positive correlation between learners’ self-regulation and their success rate in e-learning. Increasing attention has been paid to developing learners’ self-regulated abilities in e-learning. For students, what and how to learn are largely predetermined by the learning environment provided by their institutions. Environmental determinants play a key role in shaping self-regulation in the learning process. This paper reports a study on the influences of the e-learning 2.0 environment on self-regulation. The study identified the factors that influence self-regulation in such an environment and determine the relationships between the factors and self-regulation. A theoretical model to categorize the success factors for self-regulated learning was proposed for this kind of environment. Based on the model, a questionnaire was designed and administered to more than two hundred and fifty distance learning students in Beijing and Hong Kong. Through structural equation modeling (SEM) technique, relationships between environmental factors and self-regulation were analyzed. Statistical results showed that several factors affect self-regulation in the e-learning 2.0 environment. They include system quality, information quality, service quality, and user satisfaction. L’importance de la maîtrise de soi en cyberapprentissage a été bien étudiée. Les études pertinentes ont démontré une corrélation positive uniforme entre la maîtrise de soi des apprenants et leurs taux de réussite en apprentissage en ligne. Une attention croissante a été portée au développement des aptitudes de maîtrise de soi des élèves en cyberapprentissage. Pour les élèves, quoi apprendre et comment sont des questions principalement prédéterminées par l’environnement d’apprentissage qu’offrent leurs établissements. Les déterminants environnementaux jouent un rôle clé pour modeler la maîtrise de soi dans le processus d’apprentissage. Cet article rapporte une étude sur les influences de l’environnement de cyberapprentissage 2.0 sur la maîtrise de soi. L’étude a cerné les facteurs qui, dans un tel environnement, influencent la maîtrise de soi et déterminent les relations entre les facteurs et la maîtrise de soi. Un modèle théorique de catégorisation des facteurs de réussite pour l’apprentissage autogéré a été proposé pour ce type d’environnement. Un questionnaire a été conçu selon ce modèle et plus de deux cent cinquante élèves en téléapprentissage à Beijing et à Hong Kong y ont répondu. À l’aide d’une technique de modélisation par équation structurelle, les relations entre les facteurs environnementaux et l’autogestion ont été analysées. Les résultats statistiques ont démontré que plusieurs facteurs affectent l’autogestion dans l’environnement de cyberapprentissage 2.0. Ceux-ci comprennent la qualité du système, la qualité de l’information, la qualité du service et la satisfaction de l’usager.

scholarly journals Connecting through Technology: Smartphone Users’ Social Cognitive and Emotional Motivations

2019 ◽  
Vol 8 (12) ◽  
pp. 326
Author(s):  
Song-yi Youn
Keyword(s):  
Social Media ◽  
Social Identity ◽  
Social Influence ◽  
Information Seeking ◽  
Structural Equation ◽  
Social Cognitive ◽  
Equation Modeling ◽  
Emotional Attachment ◽  
Value Perceptions ◽  
Expected Benefits

Smartphones provide various services not only for social purposes but also for personal desires. This study aims to understand the multi-dimensional motivations of smartphone users. An extended motivational framework was developed using perceived benefits (i.e., expected benefits) and social influence (i.e., social identity achieved from mobile social media) from a social cognitive perspective, which was then expanded to incorporate the second-order construct of emotional attachment (i.e., emotional desires). This study examines the effects of motivations on value perceptions, which consequently explains current smartphone use. Structural equation modeling (SEM) was used, and data collected from 738 current smartphone users were analyzed. Regarding the results, expected benefits (i.e., information seeking, entertained activity, self-reactiveness, and immediate access), social influence (i.e., social identity achieved from mobile social media), and emotional desires (i.e., emotional attachment) explained value perceptions (i.e., social, hedonic, and utilitarian values) which positively influence the recent use of smartphones.

scholarly journals Applying the Uses and Gratifications Model to Examine Consequences of Social Media Addiction

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110190
Author(s):  
Amber L. Ferris ◽  
Erin E. Hollenbaugh ◽  
Paul A. Sommer
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Uses And Gratifications ◽  
Equation Modeling ◽  
Interpersonal Interaction ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Individual Traits ◽  
Use Of Social Media ◽  
Personal Understanding

The purpose of this research is to test the uses and gratifications model (U&G) with respect to addictive outcomes for young adult social media users. Two cross-sectional survey studies were completed with college students aged 18–25 years. Study 1 applied path analysis with regression to determine how individual traits, motives, and dependency related to intrusive and emotional consequences of addiction ( N = 373). Results indicated that, among other predictor variables, being dependent on social media for personal understanding was associated with increased emotional consequences of addiction. In Study 2, the functional alternative of interpersonal interaction and frequency of social media use were included to more fully test the U&G model with structural equation modeling ( N = 446). Interpersonal interaction was a significant predictor in the intrusive consequences model. Participants who reported engaging in more offline interpersonal interactions that engaged in heavy use of social media found it to be more intrusive in their lives. In addition, being dependent on social media to understand oneself mediated the relationships between various motives and emotional consequences of addiction. Taken together, results of these studies supported U&G. Contextual age variables were found to be related to motives, dependency, and addictive consequences. In addition, motives in both studies were important variables in explaining addictive consequences.

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