Abstract:Purpose -The purpose of this paper is to conceptualise a framework that integrates information quality, system quality, function quality, and social influence based on the information system (IS) success model, to explore the relationship among these factors, which might be the key determinants of Facebook educational usage intention. Design/methodology/approach -An internet survey was conducted to collect empirical data from 221 Facebook users on their experiences of using Facebook. This study applied structu… Show more
“…The extent to which an individual believes that others expect them to use a new system is referred to as social influence (Venkatesh et al, 2003). Studies carried out have found that social influence has a significant influence on behavioural intention (Hsu & Lin, 2016;Kim & Park, 2011;Ozturk et al, 2016;Wu & Chen, 2015). Davis (1989) believed that subjective norm had no influence on technology acceptance, while Shin (2009) has hypothesized that social influence has a positive effect on the intention to utilize mobile payments, although the effect of social influence on intention was not supported.…”
This paper examines the differences in consumers' intention to purchase travel online across Millennials and Baby Boomers. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is extended by including attitude, compatibility, innovativeness, perceived trust, and perceived risk variables. Data is collected using online questionnaires from Millennials (N=322) and Baby Boomers (N=318) in Australia. Overall, the empirical results revealed that factors affecting Australian consumers' intention to purchase travel online differ across generations. This study contributes to the literature by extending and testing the comprehensive research model to understand consumers' online travel purchase behavior better.
“…The extent to which an individual believes that others expect them to use a new system is referred to as social influence (Venkatesh et al, 2003). Studies carried out have found that social influence has a significant influence on behavioural intention (Hsu & Lin, 2016;Kim & Park, 2011;Ozturk et al, 2016;Wu & Chen, 2015). Davis (1989) believed that subjective norm had no influence on technology acceptance, while Shin (2009) has hypothesized that social influence has a positive effect on the intention to utilize mobile payments, although the effect of social influence on intention was not supported.…”
This paper examines the differences in consumers' intention to purchase travel online across Millennials and Baby Boomers. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is extended by including attitude, compatibility, innovativeness, perceived trust, and perceived risk variables. Data is collected using online questionnaires from Millennials (N=322) and Baby Boomers (N=318) in Australia. Overall, the empirical results revealed that factors affecting Australian consumers' intention to purchase travel online differ across generations. This study contributes to the literature by extending and testing the comprehensive research model to understand consumers' online travel purchase behavior better.
“…Due to the widespread options of connecting online (through smartphone, tablet, computer, etc. ), the Internet has become central in adolescents' lives, as they use it for leisure (e.g., listening to music, watching movies, playing online games), communication (with friends and family), and learning (school tasks, general knowledge; Carlisle et al, 2016 ; Wu and Chen, 2015 ). Several studies have examined the relationships between Internet use and academic performance, indicating positive links between the latter and Internet information seeking among high school students ( Chen et al, 2014 ; Zhu et al, 2011 ).…”
This study was aimed at exploring links between adolescents' deep and surface approaches to learning, Fear of Missing Out (FoMO), and Problematic Internet Use (PIU) by using Partial Least Squares Structural Equation Modeling (PLS-SEM). The analysis corroborated the postulated positive links between surface learning, FoMO, and PIU. Moreover, the FoMO construct represented a complimentary mediation between the surface learning approach and PIU constructs. This study may lead to a plausible inference according to which both FoMO and surface learning share a common core characteristic of decreased levels of self-regulation that might lead to PIU. Having students acquire and practice skills of self-regulation might help them control their levels of FoMO, and consequently their PIU at schools or out-of-school learning environments.
“…In recent years, plentiful empirical research has assessed the behavior of social media in different environments, such as the educational environment [4,5], knowledge sharing [6], and leisure environment [7,8]. However, members of virtual communities are not just information seeking, but also to seek social interaction and friendship [2].…”
With the growth of social media communities, people now use this new media to engage in many interrelated activities. As a result, social media communities have grown into popular and interactive platforms among users, consumers and enterprises. In the social media era of high competition, increasing continuance intention towards a specific social media platform could transfer extra benefits to such virtual groups. Based on the expectation-confirmation model (ECM), this research proposed a conceptual framework incorporating social influence and social identity as key determinants of social media continuous usage intention. The research findings of this study highlight that: (1) the social influence view of the group norms and image significantly affects social identity; (2) social identity significantly affects perceived usefulness and confirmation; (3) confirmation has a significant impact on perceived usefulness and satisfaction; (4) perceived usefulness and satisfaction have positive effects on usage continuance intention. The results of this study can serve as a guide to better understand the reasons for and implications of social media usage and adoption.
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