Applying the Technology Acceptance Model to Understand Social Networking Sites (SNS) Usage: Impact of Perceived Social Capital

Al-Ghaith, Waleed

doi:10.5121/ijcsit.2015.7409

Cited by 31 publications

(22 citation statements)

References 26 publications

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“…Based on the TRA, Davis (1989) put forward the Technology Acceptance Model (TAM), which is used for forecasting the possibility of a person accepting and using an information system. TAM is remarkable tool for making such predictions, and more and more scholars apply its theoretical framework to different fields, such as health information seeking (Lemire et al, 2008;Liang, Xue, & Chase, 2011) and social networking (Al-Ghaith, 2015). The Model (Figure 3) proposes two determinants: perceived usefulness (e.g.…”

Section: Research Modelmentioning

confidence: 99%

Seeking Health Information Online: The Moderating Effects of Problematic Situations on User Intention

Xia

Deng

Liu

2017

Journal of Data and Information Science

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Purpose: This study investigates how online user intention in searching health information is affected by problematic situations.Design/methodology/approach: Based on the Theory of Reasoned Action, the Technology Acceptance Model, and Sense-making theory, we propose two dimensions of problematic situations: urgency and severity of health issues being searched online. Data were collected through a questionnaire survey among 214 Wuhan University students and analyzed using hierarchical regression analysis.Findings: Perceived usefulness, perceived ease of use, and subjective norm can influence user intention to seek health information online. The urgency of problematic situations has a negative moderating effect on the relationship between perceived ease of use and user intention and the relationship between subjective norm and user intention. The severity of problematic situations has a negative moderating effect on the relationship between subjective norm and user intention. Research limitations:The respondents of the survey are limited to students in one Chinese university, so whether this study's results can be applied to another population or not remains to be verified. In addition, only two dimensions of problematic situations are considered in this study. Practical implications:The paper puts forward the moderating effect of problematic situations and verifies it, which is the compensation for online health information-seeking behavior research. Besides, our analyses have implications for professional design of health care systems and related consumer information searches, and improve their performance.Originality/value: Previous work has reported the effects of problematic situation on user intention to seek health information online, ignoring its influence on other factors. This empirical study extends that work to identify the influence of problematic situation when seeking intention-behavior data in two dimensions, urgency and severity.

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Section: Research Modelmentioning

confidence: 99%

Seeking Health Information Online: The Moderating Effects of Problematic Situations on User Intention

Xia

Deng

Liu

2017

Journal of Data and Information Science

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“…As per previous studies, PEoU has a significant and positive effect on PU. The direct relationship between PEoU and PU was reported in several studies, for example, internet acceptance by undergraduate students in the USA (Yi & Hwang, 2003), SNS acceptance (Leng et al, 2011;Nasri & Charfeddine, 2012;Al-Ghaith, 2015), personal digital assistance for adults in Germany (Arning & Ziefle, 2007), acceptance of short message service (Lu, Deng, & Wang, 2010), and use of mobile-based ICTs (Meso et al, 2005). The following hypotheses have been proposed based on the above studies: Hypothesis-1: PEoU has significant positive influence on PU of social media.…”

Section: Theoretical Frameworkmentioning

confidence: 76%

“…It has been extensively used for studying social media acceptance and use, for instance, on Social Networking Sites (SNS) (Leng, Lada, Muhammad, Ibrahim, & Amboala, 2011;Sago, 2013;Al-Ghaith, Sanzogni, & Sandhu, 2010;Al Ghaith, 2015;Nah & Saxton, 2012;Rauniar, Rawski, Yang, & Johnson, 2014;Nasri & Charfeddine, 2012). Figure 1.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…The relationship between PEoU and attitude captures the intrinsically motivating aspect of PEoU (Davis, 1986). A significant positive relationship between PEoU and A was evident in number of studies, such as mobile banking (Amin, Baba, & Muhammad, 2007), online shopping (Vijayasarathy, 2004), software use (Morris & Dillon, 1997), acceptance of internet banking (Ramayah & Suki, 2006), and social media (Facebook) acceptance and use (Nasri & Charfeddine, 2012;Al-Ghaith, 2015).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

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Extension Agents’ Use and Acceptance of Social Media: The Case of the Department of Agricultural Extension in Bangladesh

Kamruzzaman

Chowdhury

Paassen

et al. 2018

JIAEE

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Information and Communication Technologies (ICTs) have been considered as key driving forces for enabling agricultural development -the sector which provides livelihoods for majority of the population in Bangladesh. The Department of Agricultural Extension (DAE), the largest public sector agricultural extension service provider in Bangladesh, has recently enacted a new organizational policy for its staffs to use ICTs such as social media to provide better services. However, there is little or merely anecdotal evidence about how extension agents of DAE have been accepting and using social media for their professional work. Drawing on the theoretical underpinnings of the Technology Acceptance Model (TAM), this study is a first attempt to investigate social media use and acceptance among extension agents in Bangladesh. Data was collected using semi-structured questionnaires from 140 extension agents of DAE who work in the eastern region of Bangladesh. Both descriptive and inferential statistics were used to analyze the data. The findings indicate that most extension agents (51.4%) used social media for half an hour to one hour every day. Perceived ease of use (PEoU) and Perceived usefulness (PU) are the most influential elements that determine DAE staff acceptance of social media for performing professional functions. Social media was perceived by extension agents as a means for improving professional performance, such as disseminating agricultural information; garnering support for new agricultural policy; networking with clients and colleagues and enabling coordination of services provided by colleagues. Overall, the findings indicate potential uses of social media in an ICT-based agricultural development strategy in Bangladesh.

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“…Social networking sites are also used to contact colleagues, friends and relatives. However, with the advances in social and technological platforms, people have also started interacting with strangers through social networking sites [4,5,6,7,8,9,10,11,12,13,14]. Out of these, strangers' research has also shown that males have a greater tendency to flame than female participants [4].…”

Section: Flaming In Chatting Applications and Flame Detector Toolmentioning

confidence: 99%

Development of Security Detection Model for the Security of Social Blogs and Chatting from Hostile Users

Gupta¹,

nitin²

2017

IJCSIT

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Applying the Technology Acceptance Model to Understand Social Networking Sites (SNS) Usage: Impact of Perceived Social Capital

Abstract: This study examines the individuals' participation intentions and behaviour on Social Networking Sites (SNSs

Cited by 31 publications

References 26 publications

Seeking Health Information Online: The Moderating Effects of Problematic Situations on User Intention

Seeking Health Information Online: The Moderating Effects of Problematic Situations on User Intention

Extension Agents’ Use and Acceptance of Social Media: The Case of the Department of Agricultural Extension in Bangladesh

Development of Security Detection Model for the Security of Social Blogs and Chatting from Hostile Users

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