Predicting different conceptualizations of system use: Acceptance in hedonic volitional context (Facebook)

Lallmahomed, Muhammad Z. I.; Rahim, Nor Zairah Ab.; Ibrahim, Roliana; Rahman, Azizah Abdul

doi:10.1016/j.chb.2013.07.018

Cited by 53 publications

(59 citation statements)

References 67 publications

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“…In the context of social media, Dumpit and Fernandez (2017) found behavioral intention to be a strong predictor of actual SNSs use. This result corroborated another research study conducted by Lallmahomed, Zairah, Rahim, Ibrahim, and Rahman (2013), who ascertained that the behavioral intention to adopt Facebook was a significant determinant of its actual use. Finally, the facilitating conditions explain the extent to which a user believes that the organizational and technical infrastructure required to support technology use exists.…”

Section: H6supporting

confidence: 80%

“…Unlike our hypothesis, effort expectancy was not found to be a predictor of the behavioral intention to use Facebook and this was therefore consistent with other studies carried out by Lallmahomed et al (2013) and Al-Azawei, Parslow, and Lundqvist (2017b). The effect of effort expectancy depends greatly on the maturity of a particular technology.…”

Section: Social Support Theory and The Integrated Conceptual Modelsupporting

confidence: 71%

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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: H6supporting

confidence: 80%

Section: Social Support Theory and The Integrated Conceptual Modelsupporting

confidence: 71%

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

Al-Azawei

2018

IJIKM

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“…Lewis et al, (2008) have empirically showed that social networking site users are more likely to adopt a private profile if their friends have already done so. The effects of social influence on the use and adoption of social networking sites has been echoed time and again in prior studies (e.g., Lallmahomed et al, 2013;Sánchez et al, 2014). Sánchez et al, (2014) contended that social influence is the most important factor in predicting the adoption of Facebook because users tend to comply with whom they share interests.…”

Section: Social Influence On Self-disclosure In Social Networking Sitesmentioning

confidence: 97%

Self-disclosure in social networking sites

2015

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. (2015) 'Self-disclosure in social networking sites : the role of perceived cost, perceived bene ts and social in uence.', Internet research., 25 (2). pp. 279-299. Further information on publisher's website:https://doi.org/10.1108/intr-09-2013-0192Publisher's copyright statement:This article is c Emerald Group Publishing and permission has been granted for this version to appear here https://doi.org/10.1108/intr-09-2013-0192. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Design/methodology/approach -Building upon social exchange theory and privacy calculus theory, an integrated model was developed. The model was tested empirically using a sample of 405 social networking site's users. Users were required to complete a survey regarding selfdisclosure behaviors in Facebook. Findings -The results indicate that social influence is the factor which exhibits the strongest effect on self-disclosure in social networking sites, followed by perceived benefits. Surprisingly, perceived privacy risk does not have any significant impact on self-disclosure. Research limitations/implications -The results inform researchers about the importance to incorporate social influence factors and cultural factors into future online self-disclosure study. Practical implications -The results suggest that users focus on the benefits as well as social influence when they decide to reveal personal information in social networking sites, but pay less attention to the potential privacy risks. Educators are advised to launch educational programs to raise students' awareness to the potential risks of self-disclosure in social networking sites.Service providers of social networking sites are encouraged to provide intuitive privacy indices showing users the levels of privacy protection.Originality/value -This paper is one of the first to develop and empirically tests an integrated model of self-disclosure in social networking sites.

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“…Such differences make it necessary to research usage behavior in its specific environment [11]. Accordingly, we plan to investigate usage behavior in a MB context via UTAUT because of its high analytics power.…”

Section: Research Modelmentioning

confidence: 99%

“…UTAUT with its four pillars has shown to have a better analytics power than the mentioned standalone models and has been widely used to investigate individual's usage behavior of various information systems. For instance, in non-mobile context, Lallmahomed et al [11] adapted UTAUT to predict Facebook acceptance among college students. While in a mobile context, Zhou et al [29] used convenience sample to collect data and analyzed it via UTAUT to explain mobile banking user adoption.…”

Section: Utautmentioning

confidence: 99%

The Impact of Subjective and Objective Experience on Mobile Banking Usage: An Analytical Approach

Albashrawi

Kartal

Oztekin

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Predicting different conceptualizations of system use: Acceptance in hedonic volitional context (Facebook)

Cited by 53 publications

References 67 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

Self-disclosure in social networking sites

The Impact of Subjective and Objective Experience on Mobile Banking Usage: An Analytical Approach

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