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Predicting adolescents' use of social networking sites from an extended theory of planned behaviour perspective
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“In addition, research has demonstrated that previous modified versions of TPB that incorporated some of these factors (e.g., personality) have explained a significant amount of variance in excessive SNSs use and addiction -past variants of modified TPB have explained between 45% and 58% of the variance in SNSs use and addiction (Baker & White, 2010;Pelling & White, 2009).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Baker & White, 2010
In the citing paper
“First, studies have shown that attitude and subjective norms are positively related with individuals' intention to engage in high levels of SNSs use (Baker & White, 2010;Pelling & White, 2009).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Baker & White, 2010
In the citing paper
“At the same time, some studies did not find association between self-esteem and SNSs use, as well as SNSs addiction (Baker & White, 2010;Skues, Williams, & Wise, 2012;Wilson et al., 2010).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Baker & White, 2010
In the citing paper
“Past research have shown that while attitude is often a significant antecedent of intention, its relationship with actual behavior is often nonsignificant (Baker & White, 2010;Pelling & White, 2009).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Baker & White, 2010
In the citing paper
“This suggests that a favorable evaluation of SNSs itself is not a strong motivator to drive individuals into using SNSs excessively.”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Baker & White, 2010
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Lin, K.-Y., & Lu, H.-P. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.12.009 · Cited by 1,616
“…using, which is a major factor affecting people’s intention to join SNS, as the SNS design is for the purpose of letting the acquainted keep in touch, especially when they are allowed to share with their friends at any time (Baker & White, 2010; Li & Bernoff, 2008; Powell, 2009; Tapscott, 2008).”
BackgroundInfluentialDemographic differences in perceived benefits from gamification
Koivisto, J., & Hamari, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.007 · Cited by 841
“Furthermore, the service includes elements related to social interaction, which are commonly implemented within social network services (Baker & White, 2010; Boyd & Ellison, 2008; Lin & Lu, 2011), such as status updating, ‘‘liking,’’ and commenting.”
Why do people use gamification services?
Hamari, J., & Koivisto, J. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.04.006 · Cited by 748
“A strong relationship between attitude and use intentions has been shown in several studies (e.g. Baker & White, 2010; Bock et al., 2005; Lin & Bhattacherjee, 2010; Mäntymäki et al., 2014).”
“Working out for likes”: An empirical study on social influence in exercise gamification
Hamari, J., & Koivisto, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.018 · Cited by 473
“Furthermore, the number of people using a service has, indeed, been deemed important for services that are centred on social interaction (Baker & White, 2010; Lin & Lu, 2011; Sledgianowski & Kulviwat, 2009).”
BackgroundMethodResultInfluentialTay, B., Jung, Y., & Park, T. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.014 · Cited by 490
“TPB has been successfully applied to individual acceptance of technology products and information systems (Baker & White, 2010; Huang & Chuang, 2007).”
BackgroundMethodEffect of online social networking on student academic performance
Paul, J. A., Baker, H. M., & Cochran, J. D. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.06.016 · Cited by 426
Social Motivations To Use Gamification: An Empirical Study Of Gamifying Exercise
Hamari, J., & Koivisto, J. (2013) · European Conference on Information Systems · Cited by 411
Al‐Debei, M. M., Al-Lozi, E. M., & Papazafeiropoulou, A. (2013) · Decision Support Systems · doi:10.1016/j.dss.2012.12.032 · Cited by 389
“In the present study, however, “perceived behavioural control” did not predict “continuance participation behaviour”, a finding that is not inconsistent with other studies [11,31].”
ResultPsychological risk factors of addiction to social networking sites among Chinese smartphone users
Wu, A. M. S., Cheung, V. I., Ku, L., & Hung, E. P. W. (2013) · Journal of Behavioral Addictions · doi:10.1556/jba.2.2013.006 · Cited by 379
“Among the small handful of studies on SNSs, Baker and White (2010) found that Australian adolescents’ perceived behavioral control over regular SNS visits predicted how frequently they visited SNSs in one week. Nevertheless, Pelling and White (2009) observed that young people’s specific perceived efficacy of SNS use d…”
BackgroundInfluentialMeasuring flow in gamification: Dispositional Flow Scale-2
Hamari, J., & Koivisto, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.07.048 · Cited by 386
“With features such as group-forming, profile-building, and content sharing the service holds similarities with many social networking services (Baker & White, 2010; Boyd & Ellison, 2008; Lin & Lu, 2011; Ellison, Steinfeld & Lampe, 2007; Pfeil, Arjan & Zaphiris, 2009).”
BackgroundWei, P.-S., & Lu, H. (2014) · Internet Research · doi:10.1108/intr-04-2013-0082 · Cited by 278
“…also maintained that an individual’s intention to use a social networking site, which is a pleasure-oriented information system, increases when its participants reach a significant number, especially when more peers join (Baker and White, 2010; Sledgianowski and Kulviwat, 2009; Tapscott, 2008).”
BackgroundKu, Y.-C., Chen, R., & Zhang, H. (2013) · Information & Management · doi:10.1016/j.im.2013.07.011 · Cited by 252
Zhou, T., & Li, H. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.008 · Cited by 250
“Baker and White (2010), employing the theory of planned behavior (TPB), found that subjective norm and group norm affect how adolescents use social networking sites.”
BackgroundReward crowdfunding contribution as planned behaviour: An extended framework
Shneor, R., & Munim, Z. H. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.06.013 · Cited by 248
An empirical study on continuance intention of mobile social networking services
Gao, L., & Bai, X. (2014) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-07-2013-0086 · Cited by 246
“The mobile SNS design is for the purpose of letting the acquainted keep in touch and share with friends at anytime from anywhere (Baker and White, 2010; Powell, 2009; Tapscott, 2008).”
BackgroundKim, E., Lee, J., Sung, Y., & Choi, S. M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.078 · Cited by 227
“…were assessed so as to understand online and SNS behaviors with regard to perceived social pressure (e.g., Chang & Zhu, 2011; Picazo-Vela et al., 2010), group norm and self-esteem (e.g., Baker & White, 2010) and expression of self and social identity (e.g., Zoonen, Verhoeven, & Elving, 2014).”
Background“Let me take a selfie”: Associations between self-photography, narcissism, and self-esteem.
Barry, C. T., Doucette, H., Loflin, D. C., Rivera-Hudson, N. J., & Herrington, L. L. (2015) · Psychology of Popular Media Culture · doi:10.1037/ppm0000089 · Cited by 218
“…& Moore, 2004; Huang & Leung, 2012; Mehdizadeh, 2010; Vogel, Rose, Roberts, & Eckles, 2014), positive (Donchi & Moore, 2004; Gross, 2009; Valkenburg, Peter, & Schouten, 2006), and no associations (Baker & White, 2010; Wilson, Fornasier, & White, 2010) between self-esteem and social media use.”
Chang, Y. P., & Zhu, D. H. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.04.006 · Cited by 175
“Baker and White (2010) found that attitude has significant effect on adolescents’ intentions to use SNS. Subjective norm reflects an individual’s perception that most people who are important to him think he should or should not perform the behavior in question (Ajzen, 1991).”
BackgroundDon’t believe strangers: Online consumer reviews and the role of social psychological distance
Ortega, B. H. (2017) · Information & Management · doi:10.1016/j.im.2017.03.007 · Cited by 185
Effects of security and privacy concerns on educational use of cloud services
Arpacı, İ., Kılıçer, K., & Bardakçı, S. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.075 · Cited by 194
“Similarly, Baker and White (2010) extended the TPB with group norm and self-esteem factors to predict frequent social networking sites use.”
BackgroundGratifications and social network service usage: The mediating role of online experience
Huang, L.-Y., Hsieh, Y.-J., & Wu, Y.-C. J. (2014) · Information & Management · doi:10.1016/j.im.2014.05.004 · Cited by 185
“As a growing number of researchers argue that SNSs emerge as pleasure-oriented information systems that individuals become increasingly willing to use as more friends or peers join [1,49,67,74,78], it is rational to assume that whether and to what extent fulfilling SNS users’ social motives leads to revisit and proble…”
BackgroundSun, Y., Liu, L., Peng, X., Dong, Y., & Barnes, S. J. (2013) · Electronic Markets · doi:10.1007/s12525-013-0131-9 · Cited by 160
“Users ’ continuance intention to use SNS intensifies and their usefulness perception enhances when users perceive their friends ’ or relatives ’ usage pressure and they anticipate more friends or relatives using the SNS in the future (Baker and White 2010; Venkatesh and Bala 2008).”
BackgroundThe role of social and parasocial relationships on social networking sites loyalty
Tsiotsou, R. H. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.01.064 · Cited by 148
“Baker and White (2010) report that attitude and perceived behavioral control significantly predict consumers’ intentions to engage in frequent SNS use.”
BackgroundLee, J., Ryu, M. H., & Lee, D. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.007 · Cited by 142
“In addition, Baker and White (2010) found that, when the number of Internet users increases, the intention to join an SNS increases.”
BackgroundPredicting Fintech Innovation Adoption: the Mediator Role of Social Norms and Attitudes
Diéguez, A. I. I., Velicia-Martín, F., & Aguayo-Camacho, M. (2023) · Financial Innovation · doi:10.1186/s40854-022-00434-6 · Cited by 181
“…(Casaló et al. 2010), acceptance of e-services (Hsu and Chiu 2004), adoption of e-commerce (Grandón et al. 2011), adoption of e-banking (Shih and Fang 2004), online trading (Gopi and Ramayah, 2007), online social networking (Baker and White 2010), and spreading of e-WoM (Fu et al. 2015).”
BackgroundAn exploration of rumor combating behavior on social media in the context of social crises
Zhao, L., Yin, J., & Song, Y. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.054 · Cited by 129
Hung, S., Chang, C.-W., & Ma, Y.-C. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101757 · Cited by 128
Darvell, M. J., Walsh, S. P., & White, K. M. (2011) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2011.0035 · Cited by 118
“The TPB has been applied to various behaviors, including those involving Internet use and, specifically, SNS engagement.(12,13) A meta-analysis revealed that, on average, the model accounted for 39 percent and 27 percent of the variance in intention and behavior, respectively.”
Self-citationHo, S. S., Lwin, M. O., & Lee, E. W. J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.06.002 · Cited by 117
Huang, V., & Liu, P. L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.02.054 · Cited by 128
Integrating guanxi into technology acceptance: An empirical investigation of WeChat
Chen, L.-S., Goh, C.-F., Sun, Y.-F., & Rasli, A. (2017) · Telematics and informatics · doi:10.1016/j.tele.2017.05.003 · Cited by 111
“This study used convenience sampling, which is consistent with the sampling approach adopted in many acceptance of social media technologies (e.g. Baker and White, 2010; Hong et al., 2014; Peng et al., 2016).”
MethodWang, H., & Mangmeechai, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18020757 · Cited by 127
“Effective behavior prediction requires that PBC accurately reflect actual control, but sometimes PBC cannot do this exactly [33].”
BackgroundUsers' continued participation behavior in social Q&A communities: A motivation perspective
Fang, C., & Zhang, J. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.10.036 · Cited by 119
Dhir, A., Kaur, P., & Rajala, R. (2018) · Social Science Computer Review · doi:10.1177/0894439318806853 · Cited by 110
“According to scholars, social influence is essential for adolescents since it helps them to maintain positive identity, which could help them in creating favorable self-influence over significant others (Baker & White, 2010; Dhir, 2016).”
BackgroundResultMeasuring e-commerce adoption behaviour among gen-Z in Jakarta, Indonesia
Lestari, D. (2019) · Economic Analysis and Policy · doi:10.1016/j.eap.2019.08.004 · Cited by 141
Consumer engagement with retail firms through social media: an empirical study in Chile
Bianchi, C., & Andrews, L. (2018) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-02-2017-0035 · Cited by 142
Why do young people tag photos on social networking sites? Explaining user intentions
Dhir, A., Kaur, P., & Rajala, R. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.07.004 · Cited by 106
Rathore, A. K., & Ilavarasan, P. V. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.05.015 · Cited by 114
“These determinants of emotions have been measured based on the users ’ planned behaviour and integrated concepts of attention, cognition, and actions (from the perspective of both theories ‘ TPB ’ and ‘ Self-Construal ’ ).”
BackgroundLee, E. W. J., Ho, S. S., & Lwin, M. O. (2017) · New Media & Society · doi:10.1177/1461444816671891 · Cited by 97
“Scholars have also proposed applying theories such as the theory of planned behavior or Caplan’s problematic Internet use to the context of SNSs use (Baker and White, 2010; LaRose et al., 2010; Pelling and White, 2009).”
BackgroundPersonality Traits and Stock Investment of Individuals
Lai, C.-P. (2019) · Sustainability · doi:10.3390/su11195474 · Cited by 99
“TPB has been applied widely to account for the complexity of influences in the behavioral decision-making via the identification of the predictors of the behavior of an individual [38] in various studies, such as food consumption decisions [39], intention to use digital coupons [40], and purchase intention of green pr…”
MethodBoursier, V., Gioia, F., & Griffiths, M. D. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00147 · Cited by 112
Determinants of Muslim travellers Halal food consumption attitude and behavioural intentions
Hanafiah, M. H., & Hamdan, N. A. A. (2020) · Journal of Islamic marketing · doi:10.1108/jima-09-2019-0195 · Cited by 141
AMERICAN JOURNAL OF PSYCHOLOGICAL RESEARCH
Dixon, S. (2009) · Cited by 92
Play it again: how game-based learning improves flow in Accounting and Marketing education
Silva, R., Rodrigues, R. G., & Leal, C. T. P. (2019) · Accounting Education · doi:10.1080/09639284.2019.1647859 · Cited by 94
“The possibility of playing as a group, creating a profile, and having access to the answers of other users allows for an interaction similar to that of a social network (Baker & White, 2010; Lin & Lu, 2011).”
MethodKhasawneh, A., Madathil, K. C., Dixon, E., Wiśniewski, P., Zinzow, H. M., & Roth, R. (2020) · JMIR Mental Health · doi:10.2196/15973 · Cited by 87
“Adolescents and young adults are the largest population using the internet as it has become essential for their schoolwork, information collection, and socializing [1-6].”
BackgroundRaza, S. A., Qazi, W., Shah, N., Qureshi, M. A., Qaiser, S., & Ali, R. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101331 · Cited by 88
Jiang, C.-H., Zhao, W.-G., Sun, X., Zhang, K., Zheng, R., & Qu, W.-N. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.046 · Cited by 85
Gioia, F., Griffiths, M. D., & Boursier, V. (2020) · Sex Roles · doi:10.1007/s11199-020-01142-0 · Cited by 81
Why people use Twitter: social conformity and social value perspectives
Yoo, J., Choi, S., Choi, M., & Rho, J. J. (2014) · Online Information Review · doi:10.1108/oir-11-2012-0210 · Cited by 84
“Mäntymäki and Salo, 2011; Baker and White, 2010) or only included adults (e.g. Lee et al., 2011). Moreover Pfeil et al. (2009) contrasted the usage behaviour of MySpace between teenagers and people aged over 60, i.”
BackgroundShan, Y., & King, K. W. (2015) · Journal of Interactive Advertising · doi:10.1080/15252019.2015.1016636 · Cited by 94
“Previous studies found that college students’ engagement with SNSs would be predicted by peer and social influence (Baker and White 2010; Saeri et al. 2014).”
ResultFu, X., Liu, J., Liu, R., Ding, Y., Hong, W., & Jiang, S. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106280 · Cited by 89
Gamification as a motivation strategy for higher education students in tourism face-to-face learning
Aguiar-Castillo, L., López, L. H., Pérez, P. D. S., & Pérez‐Jiménez, R. (2020) · Journal of Hospitality Leisure Sport & Tourism Education · doi:10.1016/j.jhlste.2020.100267 · Cited by 81
Hudson, H. K., & Fetro, J. V. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.03.048 · Cited by 81
Leong, L.-Y., Hew, T.-S., Ooi, K.-B., Metri, B., & Dwivedi, Y. K. (2023) · Information Systems Frontiers · doi:10.1007/s10796-022-10337-7 · Cited by 80
“The relationship between behavioral intention and use behavior in the social media context has been demonstrated in previous studies (Al-Debei et al., 2013; Baker & White, 2010; Leng et al., 2011).”
Mohammed, A., & Ferraris, A. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101651 · Cited by 78
Londoño, J. C., Davies, K., & Elms, J. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.12.002 · Cited by 74
The theory of planned behaviour and user engagement applied to Facebook advertising
Sanne, P. N. C., & Wiese, M. (2018) · South African journal of information management · doi:10.4102/sajim.v20i1.915 · Cited by 77
“However, because of previous studies having shown that it is a significant predictor of BI within the TPB, it was retained (Al-Debei et al. 2013; Baker & White 2010; Heirman & Walrave 2012; Leng et al. 2011; Truong 2009; Wang et al. 2007).”
BackgroundResultInfluentialPiccoli, V., Carnaghi, A., Grassi, M., Stragà, M., & Bianchi, M. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.09.001 · Cited by 71
Conceptualizing Self-control on Problematic Social Media Use
Zahrai, K., Veer, E., Ballantine, P. W., & de Vries, H. P. (2021) · Australasian Marketing Journal (AMJ) · doi:10.1177/1839334921998866 · Cited by 79
“…two mind systems, several studies provide evidence on the impact of personality traits, self-identity, and social identity theories on the extent of social media use (Baker & White, 2010; Ho et al., 2017; Lee et al., 2017; Pelling & White, 2009; Polites et al., 2018; Wilcox & Stephen, 2013).”
BackgroundMethodInfluentialMalik, A., Mahmood, K., & Islam, T. (2021) · Information Development · doi:10.1177/02666669211049383 · Cited by 61
“For example, it has been used in the context of internet behaviors (Baker and White, 2010; Cha, 2013); the acceptance of computers and information communication technologies (Jiang et al., 2016; Kim et al., 2016; Mou and Lin, 2015); online service applications (Cheng and Huang, 2013; Cheung and To,…”
MethodInformation Re-Sharing on Social Network Sites in the Age of Fake News
Koohikamali, M., & Sidorova, A. (2017) · Informing Science The International Journal of an Emerging Transdiscipline · doi:10.28945/3871 · Cited by 75
“…influence SNS usage intentions (Chang & Zhu, 2012; C. Lee & Ma, 2012; Lin & Lu, 2011) and social norms influence intentions to adopt and use SNSs (Baker & White, 2010; Chang & Zhu, 2012) SNS continuance intention is influenced by SNS users’ satisfaction about the SNS use (Chang & Zhu, 2012), as…”
BackgroundMethodAnalyzing of User Attitudes Toward Intention to Use Social Media for Learning
Yuan, D., Rahman, M. K., Gazi, M. A. I., Rahaman, M. A., Hossain, M. M., & Akter, S. (2021) · SAGE Open · doi:10.1177/21582440211060784 · Cited by 92
“It has also been used to predict youth media use (Baker & White, 2010; Pelling & White, 2009).”
BackgroundMethodHow to Encourage Recycling Behaviour? The Case of WasteApp: A Gamified Mobile Application
Aguiar-Castillo, L., Rufo, J., Petra, D. S.-P., & Pérez‐Jiménez, R. (2018) · Sustainability · doi:10.3390/su10051544 · Cited by 75
“Intention to Use (IU) is estimated with four questions from [76–78], using items such as “I would say that using the application is a good thing.””
BackgroundMethodArkorful, V. E., Zhao, S., & Lugu, B. K. (2022) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2022.2063112 · Cited by 61
“In order to improve the predictive power of planned behavior theory, different scholars have added undiscovered factors, such as descriptive norms, moral norms and expected regret, on the basis of attitude, subjective norms and intuitive behavioral control (Moan and Rise 2007; Baker and White 2010).”
BackgroundFacebook Addiction among University Students in Turkey: "Selcuk University Example"
Balcı, Ş., & Gölcü, A. (2013) · DergiPark (Istanbul University) · Cited by 56
How the social dimension of fitness apps can enhance and undermine wellbeing
Whelan, E., & Clohessy, T. (2020) · Information Technology and People · doi:10.1108/itp-04-2019-0156 · Cited by 68
Games based learning in accounting education – which dimensions are the most relevant?
Silva, R., Rodrigues, R. G., & Leal, C. T. P. (2021) · Accounting Education · doi:10.1080/09639284.2021.1891107 · Cited by 74
“The possibility of playing as a group, creating a profile, and having access to other users’ answers allows for an interaction similar to that of a social network (Baker & White, 2010; Lin & Lu, 2011).”
The relationship between motivation and information sharing about products and services on Facebook
Cho, I., Park, H., & Kim, J. (2015) · Behavior and Information Technology · doi:10.1080/0144929x.2014.988177 · Cited by 51
“Research on factors affecting SNS usage has been conducted through uses and gratification theory (Cheung, Chiu, and Lee 2011; Smock et al. 2011), technology acceptance modelling (Guo, Shim, and Otondo 2010; Kwon and Wen 2010), and the TBP (Baker and White 2010; Darvell, Walsh, and White 2011).”
MethodTzavela, E. C., Karakitsou, C., Dreier, M., Mavromati, F., Wölfling, K., Halapi, E. C., Macarie, G. F., Wójcik, S., Veldhuis, L., & Τσίτσικα, Ά. (2015) · Journal of Adolescence · doi:10.1016/j.adolescence.2014.12.003 · Cited by 64
Family Communication Problems, Psychosocial Adjustment and Cyberbullying
Romero-Abrio, A., Martínez–Ferrer, B., Musitu-Ferrer, D., León-Moreno, C., Villarreal-González, M. E., & Callejas-Jerónimo, J. E. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16132417 · Cited by 52
de Souza, A. A. C., d’Angelo, M. J., & Filho, R. N. L. (2022) · Government Information Quarterly · doi:10.1016/j.giq.2021.101663 · Cited by 60
Social Support and Commitment within Social Networking Site in Tourism Experience
Chung, N., Tyan, I., & Chung, H. (2017) · Sustainability · doi:10.3390/su9112102 · Cited by 56
“In addition, Baker and White [80] stress the fact that many individuals use and intend to continuously use SNS because they feel that a lot of their friends use SNS and anticipate more friends joining SNS in the near future.”
BackgroundIndividualism, collectivism and reward crowdfunding contribution intention and behavior
Shneor, R., Munim, Z. H., Zhu, H., & Alon, I. (2021) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2021.101045 · Cited by 58
Social Media Adoption and its Impact on SMEs Performance A Case Study of Palestine
Alkhateeb, M. A., & Abdalla, R. A. M. (2021) · Studies of Applied Economics · doi:10.25115/eea.v39i7.4872 · Cited by 50
Yusop, F. D. (2015) · British Journal of Educational Technology · doi:10.1111/bjet.12330 · Cited by 49
“The useful application of the TPB to technological innovations has been established in many studies (eg, Baker & White, 2010; Cameron, Ginsburg, Westhoff & Mendez, 2012; Lee, Cerreto & Lee, 2010), but its application to the topic of preservice teachers’ training in Web 2.0 technologies is still…”
MethodInfluentialLai, H.-M., Hsieh, P.-J., & Zhang, R.-C. (2018) · Behavior and Information Technology · doi:10.1080/0144929x.2018.1543452 · Cited by 44
“In recent years, the number of people using social networking sites (SNSs) has rapidly increased (Baker and White 2010; Lin, Li, and Qu 2017).”
BackgroundMou, Y., & Lin, C. A. (2015) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2015.1054997 · Cited by 50
“For instance, a study on adolescent use of social network sites indicated that descriptive (or group) norm, attitude, and perceived behavioral control predicted future intentions to utilize social network sites, but not subjective (or injunctive) norm (Baker & White, 2010).”
BackgroundHow Can Adolescents Benefit from the Use of Social Networks? The iGeneration on Instagram
Cipolletta, S., Malighetti, C., Cenedese, C., & Spoto, A. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17196952 · Cited by 68
“Overcoming the contraposition between a positive versus negative evaluation of the impact of SNS use on adolescents, which characterized most of the previous studies [48], these findings highlight that SNSs may enhance both wellbeing or risks [28,81].”
BackgroundResultInfluentialFoltz, C. B., Newkirk, H. E., & Schwager, P. H. (2016) · Journal of theoretical and applied electronic commerce research · doi:10.4067/s0718-18762016000200002 · Cited by 45
“For example, researchers examined adolescent use of social networking sites based upon an extended version of TPB [6].”
BackgroundMoisescu, O. I., Dan, I., & Gică, O. A. (2021) · Journal of Consumer Behaviour · doi:10.1002/cb.1970 · Cited by 47
Gender Differences in the Factors Explaining Risky Behavior Online
Sasson, H., & Mesch, G. S. (2016) · Journal of Youth and Adolescence · doi:10.1007/s10964-016-0465-7 · Cited by 44
Zagidullin, M., Aziz, N., & Kozhakhmet, S. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101708 · Cited by 45
Yeoh, R., Kim, H. K., Kang, H., Lin, Y. A., Ho, A. D., & Ho, K. F. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2111040 · Cited by 42
“Studies have shown the utility of TPB in predicting health-related behaviors (e.g., Povey et al., 2000; Sheeran et al., 2001), as well as the use of new technology (e.g., Al-Debei et al., 2013; Baker & White, 2010; Leung & Chen, 2017).”
BackgroundBarriers and motivations for health insurance subscription in Cape Coast, Ghana: a qualitative study
Kumi-Kyereme, A., Amu, H., & Darteh, E. K. M. (2017) · Archives of Public Health · doi:10.1186/s13690-017-0192-x · Cited by 40
“Perceived behavioural control entails control beliefs regarding the power of both internal and situational variables to facilitate or militate against the performing of the behaviour (health insurance subscription) [28, 29].”
BackgroundInfluentialConsumer participation in virtual communities: The role of personal values and personality
Mai, H., & Olsen, S. (2015) · Journal of Marketing Communications · doi:10.1080/13527266.2012.736086 · Cited by 33
“…attitude has been found to positively influence the intention to participate in virtual communities directly (e.g. Casalo, Flavian, and Guinaliu 2010a; Bagozzi and Dholakia 2002; Lin 2006) and behaviour indirectly through intention (Bagozzi, Dholakia, and Mookerjee 2006; Baker and White 2010).”
BackgroundInfluentialRestaurant Information Sharing on Social Networking Sites
Kang, J.-W., & Namkung, Y. (2015) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348015619413 · Cited by 39
“This is a major factor influencing people’s intentions to participate in an SNS since the aim of an SNS is to allow people to keep in touch with one another (Baker & White, 2010; K. Y. Lin & Lu, 2011).”
BackgroundHung, S.-Y., Yu, A., & Chiu, Y.-C. (2018) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2018.1407077 · Cited by 43
“…and electronic service adoption (e.g., Baker, AlGahtani, and Hubona 2007; Lee 2009; Liao, Chen, and Yen 2007; Teo and Lee 2010; Wu and Chen 2005; Zhou 2007) and e-commerce and social media research (e.g., Baker and White 2010; Chang and Zhu 2011; Kim, Sohn, and Choi 2011; Pelling and White 2009).”
BackgroundQu, W., Ge, Y., Guo, Y., Sun, X., & Zhang, K. (2020) · Accident Analysis & Prevention · doi:10.1016/j.aap.2020.105641 · Cited by 40
Li, L., & Li, J. (2020) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2020.1779518 · Cited by 38
“Based on TPB, when people hold positive attitudes toward certain behaviors, they become more willing to engage in the behavior.(19,21) Therefore, it is expected that young Chinese women with a positive attitude toward HPV vaccination would more likely uptake HPV vaccination than those with”
BackgroundCustomer engagement behaviour in online social networks - the Facebook perspective
Bitter, S., Grabner‐Kräuter, S., & Breitenecker, R. J. (2014) · International Journal of Networking and Virtual Organisations · doi:10.1504/ijnvo.2014.065088 · Cited by 42
“The results confirm the positive impact of attitude toward Facebook, perceived behavioural control and subjective norm on users’ interactions with friends and thus validate that the TPB also performs well for the explanation and prediction of consumer behaviour in OSNs (see also Pelling and White, 2009; Baker and Whit…”
BackgroundThe Role of Communication Technology in Adolescent Relationships and Identity Development
Cyr, B.-A., Berman, S. L., & Smith, M. L. (2015) · Child & Youth Care Forum · doi:10.1007/s10566-014-9271-0 · Cited by 52
Matikiti, R., Mpinganjira, M., & Roberts-Lombard, M. (2017) · Acta Commercii · doi:10.4102/ac.v17i1.396 · Cited by 36
“Studies by Baker and White (2010), Hocevar, Flanagin and Metzeger (2014), as well as Leng et al. (2011) have found that perceived behavioural control (selfefficacy) exerts significant positive influence attitude towards the use of social networking sites.”
BackgroundGamified E-Reading Experiences and Their Impact on Reading Comprehension and Attitude in EFL Classes
Kaban, A. L. (2021) · International Journal of Mobile and Blended Learning · doi:10.4018/ijmbl.2021070105 · Cited by 57
Lin, K. (2015) · Behaviour and Information Technology · doi:10.1080/0144929x.2015.1027736 · Cited by 36
“Furthermore, studies based on TRA have indicated that normative pressure or the subjective norm has a significant effect on behavioural intention (Sledgianowski and Kulviwat 2009; Baker and White 2010) and attitude (Tarkiainen and Sundqvist 2005; Aertsens et al. 2009).”
BackgroundResultCyberfaking: I Can, So I Will? Intentions to Fake in Online Psychological Testing
Grieve, R., & Elliott, J. (2013) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.0271 · Cited by 36
“In addition, the TPB has shown good predictive validity toward intentions to engage in a variety of computer-mediated behaviors, such as social networking 16 and pod-casting.”
Ho, S. S., Lwin, M. O., Yee, A. Z. H., & Lee, E. W. J. (2017) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2017.0061 · Cited by 37
Why do consumers continue to use OTT services?
Yoon, J., & Kim, H. (2023) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2023.101285 · Cited by 45
Hawk, S. T., ter Bogt, T., van den Eijnden, R. J. J. M., & Nelemans, S. A. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.05.014 · Cited by 36
“Youths regard SNSs disclosures to be important for self-expression and relationship maintenance (Baker & White, 2010; Christofides, Muise, & Desmarais, 2009; Medizadeh, 2010).”
Modeling Human Behavior on Social Media in Response to Significant Events
Tyshchuk, Y., & Wallace, W. A. (2018) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2018.2815786 · Cited by 33
“Studies that have been carried out to operationalize the theory of planned behavior have focused on adoption of social media (see [39], [40]) or have utilized surveys [41].”
BackgroundDo destination Facebook pages increase fan’s visit intention? A longitudinal study
Leung, X. Y. (2019) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-06-2018-0041 · Cited by 32
Metadata
- Authors
- Baker, R. K., & White, K. M.
- Affiliations
- Queensland University of Technology (AU)
- Corresponding author
- White, Katherine M.
- ORCID
- White, Katherine M.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 26
- Issue
- 6
- Pages
- 1591-1597
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W1979449984
- Cited by
- 359
- References
- 51
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 18 · 2023: 23 · 2022: 27 · 2021: 29 · 2020: 24 · 2019: 26 · 2018: 29 · 2017: 33 · 2016: 17 · 2015: 41 · 2014: 24 · 2013: 24 · 2012: 9
- FWCI
- 44.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- social networking sites, adolescents, extended theory of planned behavior, self-esteem, attitudes, perceived behavioral control, intention
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