Determinants of Online Social Business Network Usage Behavior—Applying the Technology Acceptance Model and Its Extensions

Moeser, Guido; Moryson, Heiko; Schwenk, Gero

doi:10.4236/psych.2013.44061

Cited by 19 publications

(18 citation statements)

References 19 publications

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“…However, actual research findings show that general attitudinal measures of technology are highly significant antecedents of intention to use (Nysveen & Pedersen, 2014;Müller-Seitz et al, 2009;Pramatari & Theotokis, 2009;Boslau & Lietke, 2006). Furthermore, Attitude is a fix component of the initial Technology Acceptance Model (TAM by Davis et al, 1989) and other TAM related studies (e.g., Moeser et. al., 2013) underscoring the importance of the attitudinal determinant.…”

Section: Research Model and Hypothesesmentioning

confidence: 96%

Consumer Adoption of Cloud Computing Services in Germany: Investigation of Moderating Effects by Applying an UTAUT Model

Moryson¹,

Moeser²

2016

IJMS

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Cloud computing services have been growing rapidly in recent years, with Dropbox, Apple iCloud and Google Drive being amongst the most established. The main purpose of this study was to investigate whether there were moderator effects for cloud usage. Data was conducted via a web survey amongst internet users in Germany during October 2014. A total of 2135 panelists started the questionnaire with 2040 finishing. Data basis for the analyses was the number of cloud computing users (n=1047). Operationalization was tested using confirmatory factor analyses and causal hypotheses were evaluated by means of structural equation modeling. In addition, the critical ratios approach was applied to investigate moderating effects.Firstly, the results show that extended UTAUT is a robust research model. In detail, Social Influence, Performance Expectancy Effort Expectancy, and Perceived Security Risks were shown to significantly impact Attitude towards Use cloud services. The combination of all constructs used accounted for 67.2% of the variances observed in users' attitude and 82.4% in users' intention to use cloud services. Secondly, we found the moderating effect for all factors investigated, particularly gender and IT experience were shown to significantly moderate attitude and behavioral intention to use cloud services.

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Section: Research Model and Hypothesesmentioning

confidence: 96%

Consumer Adoption of Cloud Computing Services in Germany: Investigation of Moderating Effects by Applying an UTAUT Model

Moryson¹,

Moeser²

2016

IJMS

Self Cite

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“…The studies which applied existing models to the acceptance of technologies have been done usually by examining individual behaviors in the use of online social business networks (Moeser et al, 2013) and internet shopping in web (Moon & Kim, 2001) or by predicting consumers' acceptance of new technologies in the points of sale (Pantano & Pietro, 2012).…”

mentioning

confidence: 99%

Influencing factors in OER usage of adult learners in Korea

Kim¹,

Lee²,

Lee

et al. 2015

IRRODL

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Open Educational Resources (OER) is terminology that refers to educational resources (content and software) distributed through the Internet, free of charge and freely accessible, expanding learning opportunities for adult learners. This terminology first appeared around 2002, although its roots can be traced to the open architecture of the Internet. Until recently, OER development has focused more on quantity of contents rather than quality. In this study, we have examined the factors influencing the learning intention of adult learners in the OER context. Based on the relevant literature, we have identified a number of factors influencing a learner’s intention to use e-learning content. We have also developed a questionnaire for conducting a survey on such influencing factors. The survey results show that ease of use and relation to immediate workplace needs affect the intention of adult learners in using OER. The findings of this study can inform those developing and designing a learning environment that employs OER while also providing general guidance for developers and educators on how to design OER content.

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“…The effect of such knowledge exchange would be fruitful through social media if that takes place between knowledge seekers and knowledge contributors in an conducive atmosphere by the help of knowledge management system (Chen et al, 2010). In the context of use of social media, there are number of studies which supported this prediction (Moeser et al, 2013;Chang and Yang, 2013). In terms of observation of…”

Section: Perceived Usefulness Of Social Media (Pus)mentioning

confidence: 99%

Social media as a tool of knowledge sharing in academia: an empirical study using valance, instrumentality and expectancy (VIE) approach

Chatterjee

Rana

Dwivedi

2020

JKM

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Purpose The purpose of this paper is to understand the factors that determine the knowledge exchange intention and behavioural nature of academics by the help of social media tools in the Indian higher education. Design/methodology/approach This study has used valance–instrumentality–expectancy (VIE) theory to determine the knowledge exchange behaviour of academics. The study has considered the effects of knowledge contributor (KC) and knowledge seeker (KS) as moderators. The model has been validated by using a survey with 320 usable respondents. Findings The results highlight that if the stakeholders of higher education institutions feel the deficits of knowledge exchange, they realize importance of knowledge sharing and use social media to increase effect of knowledge exchange. Besides, perceived usefulness impacts on the use of social media for knowledge exchange by the concerned stakeholders. Moreover, it is observed that experience of the use of social media impacts the use of this tool for knowledge exchange. Research limitations/implications The use and application of VIE theory have successfully been able to interpret the factors affecting use of social media for knowledge exchange in higher educational institutes. The use of VIE theory has also been able to explain the proposed model better as the model could achieve a high explanative power (87%). Practical implications This study has provided meaningful insights to the practitioners and policymakers to realize how the stakeholders of the higher education institutions in India can be motivated to feel the need of sharing of knowledge and how they can use social media with ease for this purpose. Originality/value Not much research has been conducted with regard to the usage of social media as a tool for knowledge sharing in higher education sector in India. In that sense, this study is a novel attempt to undertake such research.

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Determinants of Online Social Business Network Usage Behavior—Applying the Technology Acceptance Model and Its Extensions

Cited by 19 publications

References 19 publications

Consumer Adoption of Cloud Computing Services in Germany: Investigation of Moderating Effects by Applying an UTAUT Model

Consumer Adoption of Cloud Computing Services in Germany: Investigation of Moderating Effects by Applying an UTAUT Model

Influencing factors in OER usage of adult learners in Korea

Social media as a tool of knowledge sharing in academia: an empirical study using valance, instrumentality and expectancy (VIE) approach

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