Persona

Baden, Randy; Bender, Adam; Spring, Neil; Bhattacharjee, Bobby; Starin, Daniel

doi:10.1145/1592568.1592585

Cited by 308 publications

(16 citation statements)

References 39 publications

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“…However, the benefits of such platforms are not restricted to a specific application; social networking services (SNSs) can in fact be used by individuals, organizations, and customers to create, participate, and exchange information and/or ideas in a virtual environment (Ngai, Tao, & Moon, 2015). Based on the previous literature (Ellison, Steinfield, & Lampe, 2007;Starin, Baden, Bender, Spring, & Bhattacharjee, 2009), three different functions of social networks were consequently identified. The first was that they facilitate and enhance personal communications both on-and offline.…”

Section: Introductionmentioning

confidence: 99%

Predicting the Adoption of Social Media: An Integrated Model and Empirical Study on Facebook Usage

Al-Azawei

2018

IJIKM

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Aim/Purpose: This study aims at (1) extending an existing theoretical framework to gain a deeper understanding of the technology acceptance process, notably of the Facebook social network in an unexplored Middle East context, (2) investigating the influence of social support theory on Facebook adoption outside the work context, (3) validating the effectiveness of the proposed research model for enhancing Facebook adoption, and (4) determining the effect of individual differences (gender, age, experience, and educational level) amongst Facebook users on the associated path between the proposed model constructs. Background: Social networking sites (SNSs) are widely adopted to facilitate social interaction in the Web-based medium. As such, this present work contends that there is a gap in the existing literature, particularly in the Middle East context, as regards an empirical investigation of the relationship between the social, psychological, individual, and cognitive constructs potentially affecting users’ intention to accept SNSs. The present research, therefore, attempts to address this deficit. The relevance of this work is also considered in light of the scarcity of empirical evidence and lack of detailed research on the effect of social support theory with regard to SNS adoption in a non-work context. Methodology: A quantitative research approach was adopted for this study. The corresponding analysis was carried out based on structural equation modelling (SEM), more specifically, partial least squares (PLS), using SmartPLS software. Earlier research recommended the PLS approach for exploratory studies when extending an existing model or developing a new theory. PLS is also a superior method of complex causal modelling. Moreover, a multi-group analysis technique was adopted to investigate the moderating influence of individual differences. This method divides the dataset into two groups and then computes the cause and effect relationships between the research model variables for each set. The analysis of an in-person survey with a sample of Facebook users (N=369) subsequently suggested four significant predictors of continuous Facebook use. Contribution: This study contributes to the body of knowledge relating to SNSs by providing empirical evidence of constructs that influence Facebook acceptance in the case of a developing country. It raises awareness of antecedents of Facebook acceptance at a time when SNSs are widely used in Arab nations and worldwide. It also contributes to previous literature on the effectiveness of the unified theory of acceptance and use of technology (UTAUT) in different cultural contexts. Another significant contribution of this study is that it has reported on the relevance of social support theory to Facebook adoption, with this theory demonstrating a significant and direct ability to predict Facebook acceptance. Finally, the present research identified the significant moderating effect of individual differences on the associated path between the proposed model constructs. This means that regardless of technological development, individual gaps still appeared to exist among users. Findings: The findings suggested four significant predictors of continuous Facebook use, namely, (a) performance expectancy, (b) peer support, (c) family support, and (d) perceived playfulness. Furthermore, behavioral intention and facilitating conditions were found to be significant determinants of actual Facebook use, while individual differences were shown to moderate the path strength between several variables in the proposed research model. Recommendations for Practitioners: The results of the present study make practical contributions to SNS organizations. For example, this research revealed that users do not adopt Facebook because of its usefulness alone; instead, users’ acceptance is developed through a sequence of variables such as individual differences, psychological factors, and social and organizational beliefs. Accordingly, social media organizations should not consider only strategies that apply to just one context, but also to other contexts characterized by different beliefs, perceptions, and cultures. Moreover, the evidence provided here is that social support theory has a significant influence on SNSs acceptance. This suggests that social media organizations should provide services to support this concept. Furthermore, the significant positive effect of perceived playfulness on the intention to use SNSs implied that designers and organizations should pay further attention to the entertainment services provided by social networks. Recommendation for Researchers: To validate the proposed conceptual framework, researchers from different countries and cultures are invited to apply the model. Moreover, a longitudinal research design could be implemented to gather data over a longer period, in order to investigate whether users have changed their attitudes, beliefs, perceptions, and intention by the end of the study period. Other constructs, such as individual experience, compatibility, and quality of working life could be included to improve the power of the proposed model. Impact on Society: Middle Eastern Facebook users regard the network as an important tool for interacting with others. The increasing number of Facebook users renders it a tool of universal communication and enjoyment, as well as a marketing network. However, knowledge of the constructs affecting the application of SNSs is valuable for ensuring that such sites have the various functions required to suit different types of user. Future Research: It is hoped that our future research will build on the results of this work and attempt to provide further explanation of why users accept SNSs. In this future research, the proposed research model could be adopted to explore SNSs acceptance in other developing countries. Researchers might also include other factors of potential influence on SNSs acceptance. The constructs influencing acceptance of other social networks could then be compared to the present research findings and thus, the differences and similarities would be highlighted.

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Section: Introductionmentioning

confidence: 99%

Predicting the Adoption of Social Media: An Integrated Model and Empirical Study on Facebook Usage

Al-Azawei

2018

IJIKM

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“…Direct communication takes place via external applications. Persona by Baden et al [27] is a solution approach that uses a central storage service. Further, it uses attribute-based encryption with fine granular rules.…”

Section: System Comparisonmentioning

confidence: 99%

Data security in decentralized cloud systems – system comparison, requirements analysis and organizational levels

2017

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Cloud computing has been established as a technology for providing needs-orientated and use-dependent IT resources, which now are being used more frequently for business information systems. Particularly in terms of integration of decentralized information systems, cloud systems are providing a stable solution approach. Still, data security is one of the biggest challenges when using cloud systems and a main reason why many companies avoid using cloud services. The question we are facing is how cloud systems for integration of decentralized information systems have to be designed, in terms of technology and organization, so that privacy laws of the cloud user can be guaranteed. This contribution summarizes the results of a system comparison of decentralized cloud systems in social networks, a requirements analysis based on a literature analysis, and a model for organizational levels of cloud systems, derived from the requirements analysis.

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“…Particularly, two important features are of importance for a CDA study in an online setting. Firstly, it is shown by various studies that the 'online persona' of discourse participants might be in dire contrast with their real personality (Bullingham & Vasconcelos, 2013;Burkell et al, 2014;Stafford, 2010;Starin, Baden, Bender, Spring, & Bhattacharjee, 2008). In other words, a significant number of individuals benefit from their virtual profile, by presenting an unreal picture of themselves, and arguing from the point of view of that online persona, and not from their real self.…”

Section: Issues Of Data Collectionmentioning

confidence: 99%

Critical Discourse Analysis in New Media: Theoretical and Methodological Challenges

Dehghan

Ali

2015

MJLL

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Persona

Cited by 308 publications

References 39 publications

Predicting the Adoption of Social Media: An Integrated Model and Empirical Study on Facebook Usage

Predicting the Adoption of Social Media: An Integrated Model and Empirical Study on Facebook Usage

Data security in decentralized cloud systems – system comparison, requirements analysis and organizational levels

Critical Discourse Analysis in New Media: Theoretical and Methodological Challenges

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