The Role of Perceived Utilitarian and Hedonic Value in Predicting Use of Location-Based Anonymous Social Networking Sites

Priyanka Khandelwal; Melissa R. Gotlieb

doi:10.30935/ojcmt/11114

The Role of Perceived Utilitarian and Hedonic Value in Predicting Use of Location-Based Anonymous Social Networking Sites

Priyanka Khandelwal ¹ ^* , Melissa R. Gotlieb ²

More Detail

¹ West Texas A&M University, USA
² Texas Tech University, USA
^* Corresponding Author

Online Journal of Communication and Media Technologies, Volume 11, Issue 4, Article No: e202118. https://doi.org/10.30935/ojcmt/11114

OPEN ACCESS 2740 Views 1430 Downloads Published online: 26 Jul 2021

Download Full Text (PDF)

ABSTRACT

Recent years have seen a rapid rise in the popularity of location-based anonymous social networking sites (LB-ASNS). Although anonymity and site specificity have been reported to be the major attractions of these platforms, there exists a severe paucity of studies that have investigated the adoption behavior of LB-ASNS using the Technology Acceptance Model as the primary theoretical framework. The goal of this study is to utilize an extended version of TAM to explain the actual use of LB-ASNS. We demonstrate the applicability of TAM in the realm of LB-ASNS. Our results suggest that the quality and enjoyment afforded by these platforms are major predictors of actual use.

Keywords: location-based anonymous social networking sites, adoption behavior, TAM, college students, hedonic value

CITATION

Khandelwal, P., & Gotlieb, M. R. (2021). The Role of Perceived Utilitarian and Hedonic Value in Predicting Use of Location-Based Anonymous Social Networking Sites. Online Journal of Communication and Media Technologies, 11(4), e202118. https://doi.org/10.30935/ojcmt/11114

REFERENCES

Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75-90. https://doi.org/10.1016/j.chb.2016.05.014
Aboelmaged, M., & Gebba, T. R. (2013). Mobile banking adoption: an examination of technology acceptance model and theory of planned behavior. International Journal of Business Research and Development, 2(1), 35-50. https://doi.org/10.24102/ijbrd.v2i1.263
Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 665-694. https://doi.org/10.2307/3250951
Agudo-Peregrina, Á. F., Hernández-García, Á., & Pascual-Miguel, F. J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301-314. https://doi.org/10.1016/j.chb.2013.10.035
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Al-Qaysi, N., Mohamad-Nordin, N., & Al-Emran, M. (2020). Employing the technology acceptance model in social media: A systematic review. Education and Information Technologies, 25, 4961-5002. https://doi.org/10.1007/s10639-020-10197-1
Ariff, M. S. M., Yeow, S. M., Zakuan, N., Jusoh, A., & Bahari, A. Z. (2012). The effects of computer self-efficacy and technology acceptance model on behavioral intention in internet banking systems. Procedia-Social and Behavioral Sciences, 57, 448-452. https://doi.org/10.1016/j.sbspro.2012.09.1210
Arslan, A. (2008). The correlation between attitude and self-efficacy with regard to computer assisted education. Electronic Journal of Social Sciences, 7(24), 101-109. https://dergipark.org.tr/esosder/issue/6138/82343
Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: technological antecedents and implications. MIS quarterly, 831-858. https://doi.org/10.2307/41409963
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc.
Bauer, R. A. (1960). Consumer behavior as risk taking. In R. S. Hancock (Ed.), Dynamic Marketing for a Changing World, Proceedings of the 43rd Conference of the American Marketing Association, pp. 389-98.
Benbasat, I., & Barki, H. (2007). Quo vadis TAM?. Journal of the Association for Information Systems, 8(4), 7. https://doi.org/10.17705/1jais.00126
Biucky, S. T., & Harandi, S. R. (2017). The effects of perceived risk on social commerce adoption based on tam model. International Journal of Electronic Commerce Studies, 8(2), 173-196. https://doi.org/10.7903/ijecs.1538
Black, E. W., Mezzina, K., & Thompson, L. A. (2016). Anonymous social media–Understanding the content and context of Yik Yak. Computers in Human Behavior, 57, 17-22. https://doi.org/10.1016/j.chb.2015.11.043
Boyd, D., & Marwick, A. E. (2011, September). Social privacy in networked publics: Teens’ attitudes, practices, and strategies. In A decade in internet time: Symposium on the dynamics of the internet and society, pp. 1-29. https://papers.ssrn.com/sol3/papers.cfm?abstract_=1925128
Bradner, E. (2001, March). Social affordances of computer-mediated communication technology: understanding adoption. In CHI'01 Extended abstracts on human factors in computing systems (pp. 67-68). https://doi.org/10.1145/634067.634111
Burns, H. (2014). Yik Yak app stirring up chatter on college campuse. https://www.usatoday.com/story/tech/personal/2014/03/07/yik-yak-college-students/6124405/
Caya. (2019) Company forensics| Yik Yak: A deadly combination. https://slidebean.com/blog/startups-startup-forensics-yik-yak
Chen, C. C., & Tsai, J. L. (2019). Determinants of behavioral intention to use the Personalized Location-based Mobile Tourism Application: An empirical study by integrating TAM with ISSM. Future Generation Computer Systems, 96, 628-638. https://doi.org/10.1016/j.future.2017.02.028
Chen, D. X. (2004). Students’ sense of campus community: What it means, and what to do about it. NASPA Journal, 41, 216-234. https://doi.org/10.2202/1949-6605.1331
Choi, T. R., & Sung, Y. (2018). Instagram versus Snapchat: Self-expression and privacy concern on social media. Telematics and Informatics, 35(8), 2289-2298. https://doi.org/10.1016/j.tele.2018.09.009
Chung, J. E., Park, N., Wang, H., Fulk, J., & McLaughlin, M. (2010). Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model. Computers in Human Behavior, 26(6), 1674-1684. https://doi.org/10.1016/j.chb.2010.06.016
Clark-Gordon, C. V., Bowman, N. D., Goodboy, A. K., & Wright, A. (2019). Anonymity and Online Self-Disclosure: A Meta-Analysis. Communication Reports, 32(2), 98-111. https://doi.org/10.1080/08934215.2019.1607516
Clark-Gordon, C. V., Workman, K. E., & Linvill, D. L. (2017). College students and Yik Yak: An exploratory mixed-methods study. Social Media+ Society, 3(2), 2056305117715696. https://doi.org/10.1177/2056305117715696
Compeau, D. R., & Higgins, C. A. (1995). Application of social cognitive theory to training for computer skills. Information systems research, 6(2), 118-143. https://doi.org/10.1287/isre.6.2.118
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.
Currás‐Pérez, R., Ruiz‐Mafé, C., & Sanz‐Blas, S. (2013). Social network loyalty: evaluating the role of attitude, perceived risk and satisfaction. Online Information Review, 37(1), 61-82. https://doi.org/10.1108/14684521311311630
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
de la Fuente, J., Gustafson, S., Twomey, C., & Bix, L. (2015). An affordance‐based methodology for package design. Packaging Technology and Science, 28(2), 157-171. https://doi.org/10.1002/pts.2087
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60
Eastin, M. S. (2002). Diffusion of e-commerce: an analysis of the adoption of four e-commerce activities. Telematics and informatics, 19(3), 251-267. https://doi.org/10.1016/S0736-5853(01)00005-3
Eastin, M. S., & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of computer-mediated communication, 6(1), JCMC611. https://doi.org/10.1111/j.1083-6101.2000.tb00110.x
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison–Wesley.
Fishbein, M., & Cappella, J. N. (2006). The role of theory in developing effective health communications. Journal of Communication, 56(s1), S1-S17. https://doi.org/10.1111/j.1460-2466.2006.00280.x
Frith, J., & Saker, M. (2017). Understanding Yik Yak: Location-based sociability and the communication of place. First Monday, 22(10). https://doi.org/10.5210/fm.v22i10.7442
Galib, M. H., Hammou, K. A., & Steiger, J. (2018). Predicting consumer behavior: an extension of technology acceptance model. International Journal of Marketing Studies, 10(3), 73-90. https://doi.org/10.5539/ijms.v10n3p73
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 27(1), 51-90. https://doi.org/10.2307/30036519
Gerhart, N., & Koohikamali, M. (2019). Social network migration and anonymity expectations: What anonymous social network apps offer. Computers in Human Behavior, 95, 101-113. https://doi.org/10.1016/j.chb.2019.01.030
Gibson, J. J. (1979). The ecological approach to visual perception. Houghton Mifflin.
Golbeck, J., & Mauriello, M. L. (2016). User perception of Facebook app data access: A comparison of methods and privacy concerns. Future Internet, 8(2), 9. https://doi.org/10.3390/fi8020009
Goodhue, D. L. (2007). Comment on Benbasat and Barki’s “Quo Vadis TAM” article. Journal of the Association for Information Systems, 8(4), 15. https://doi.org/10.17705/1jais.00125
Govender, I., & Sihlali, W. (2014). A study of mobile banking adoption among university students using an extended TAM. Mediterranean Journal of Social Sciences, 5(7), 451. https://doi.org/10.5901/mjss.2014.v5n7p451
Graham, J. (2015) Anonymity working for Whisper app. https://www.usatoday.com/story/tech/2015/08/12/anonymity-working-whisper-app-secret-snapchat/31514503/
Graham, J. (2017) Yik Yak, the once popular and controversial college messaging app, shuts down. https://www.usatoday.com/story/tech/talkingtech/2017/04/28/yik-yak-shut-down/101045670/
Gumussoy, C. A., Kaya, A., & Ozlu, E. (2018). Determinants of mobile banking use: An extended TAM with perceived risk, mobility access, compatibility, perceived self-efficacy and subjective norms. In Industrial Engineering in the Industry 4.0 Era (pp. 225-238). Springer, Cham. https://doi.org/10.1007/978-3-319-71225-3_20
Hall, J. (2013) Hannah Smith suicide: Internet trolls target sister of tragic teenager who was driven to suicide by cyberbullies. https://www.independent.co.uk/news/uk/crime/hannah-smith-suicide-internet-trolls-target-sister-tragic-teenager-who-was-was-driven-suicide-cyberbullies-8749648.html
Hsu, C. L. & Lu, H. P. (2007). Consumer behavior in online game communities: A motivational factor perspective. Computers in Human Behavior, 23(3), 1642-1659. https://doi.org/10.1016/j.chb.2005.09.001
Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & management, 41(7), 853-868. https://doi.org/10.1016/j.im.2003.08.014
Hsu, M. H., & Chiu, C. M. (2004). Internet self-efficacy and electronic service acceptance. Decision support systems, 38(3), 369-381. https://doi.org/10.1016/j.dss.2003.08.001
Juetten, M. (Nov, 13, 2018). Failed Startups: YikYak. https://www.forbes.com/sites/maryjuetten/2018/11/13/failed-startups-yik-yak/
Kamble, S., Gunasekaran, A., & Arha, H. (2019). Understanding the Blockchain technology adoption in supply chains-Indian context. International Journal of Production Research, 57(7), 2009-2033. https://doi.org/10.1080/00207543.2018.1518610
Kapoor, K., Dwivedi, Y., Piercy, N. C., Lal, B., & Weerakkody, V. (2014). RFID integrated systems in libraries: extending TAM model for empirically examining the use. Journal of Enterprise Information Management, 27(6), 731-758. https://doi.org/10.1108/JEIM-10-2013-0079
Koohikamali, M., Gerhart, N., & Mousavizadeh, M. (2015). Location disclosure on LB-SNAs: The role of incentives on sharing behavior. Decision Support Systems, 71, 78-87. https://doi.org/10.1016/j.dss.2015.01.008
Kutluca, T., & Ekici, G. (2010). Examining teacher candidates’ attitudes and self-effıcacy perceptions towards the computer assisted education. Hacettepe University Journal of Education, 38, 177-188. http://www.efdergi.hacettepe.edu.tr/shw_artcl-426.html
LaRose, R., & Atkin, D. (1991). Attributes of movie distribution channels and consumer choice. Journal of Media Economics, 4(1), 3-17. https://doi.org/10.1080/08997769109358200
Lauri, M. A., & Farrugia, L. (2020). Identity Exploration in Anonymous Online Spaces. The Routledge Companion to Digital Media and Children, 173-184. https://doi.org/10.4324/9781351004107-16
Lee, Y. H., Hsieh, Y. C., & Chen, Y. H. (2013). An investigation of employees” use of e-learning systems: applying the technology acceptance model. Behaviour & Information Technology, 32(2), 173-189. https://doi.org/10.1080/0144929X.2011.577190
Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 50. https://doi.org/10.17705/1CAIS.01250
Li, Q., & Literat, I. (2017). Misuse or misdesign? Yik Yak on college campuses and the moral dimensions of technology design. First Monday, 22(7). https://doi.org/10.5210/fm.v22i7.6947
Lin, H.F. (2008). Antecedents of virtual community satisfaction and loyalty: An empirical test of competing theories. CyberPsychology & Behavior, 11(2),138-144. https://doi.org/10.1089/cpb.2007.0003
Liu, X. (2010). Empirical testing of a theoretical extension of the technology acceptance model: An exploratory study of educational wikis. Communication Education, 59(1), 52-69. https://doi.org/10.1080/03634520903431745
Lorenzo-Romero, C., & Constantinides, E. (2011). Consumer adoption of social networking sites: implications for theory and practice. Journal of research in Interactive Marketing, 5(2/3), 170-188. https://doi.org/10.1108/17505931111187794
Lowry, P. B., Gaskin, J., Twyman, N., Hammer, B., & Roberts, T. (2012). Taking “fun and games” seriously: Proposing the hedonic-motivation system adoption model (HMSAM). Journal of the Association for Information Systems, 14(11), 617-671. https://doi.org/10.17705/1jais.00347
Machkovech, S. (2016). Yik Yak’s “handles” are just lipstick on an ugly, anonymous yak. https://arstechnica.com/information-technology/2016/03/yik-yaks-handles-are-just-lipstick-on-an-ugly-anonymous-yak/
Madden, M., & Rainie, L. (2015). Americans” attitudes about privacy, security and surveillance. Pew Research Center. http://www.pewinternet.org/2015/05/20/americans-attitudes-about-privacy-security-and-surveillance/
Madden, M., Lenhart, A., Cortesi, S., Gasser, U., Duggan, M., Smith, A., & Beaton, M. (2013). Teens, social media, and privacy. Pew Research Center, 21(1055), 2-86. https://assets.pewresearch.org/wp-content/uploads/sites/14/2013/05/PIP_TeensSocialMediaandPrivacy_PDF.pdf
Mahler, J. (2015). Who spewed that abuse? Anonymous Yik Yak app isn”t telling. https://www.nytimes.com/2015/03/09/technology/popular-yik-yak-app-confers-anonymity-and-delivers-abuse.html
Majchrzak, A., Faraj, S., Kane, G. C., & Azad, B. (2013). The contradictory influence of social media affordances on online communal knowledge sharing. Journal of Computer-Mediated Communication, 19(1), 38-55. https://doi.org/10.1111/jcc4.12030
Makki, T. W., DeCook, J. R., Kadylak, T., & Lee, O. J. Y. (2018). The social value of snapchat: An exploration of affiliation motivation, the technology acceptance model, and relational maintenance in Snapchat use. International Journal of Human-Computer Interaction, 34(5), 410-420. https://doi.org/10.1080/10447318.2017.1357903
Mao, C. M., & Hovick, S. R. (2020). Adding affordances and communication efficacy to the technology acceptance model to study the messaging features of online patient portals among young adults. Health Communication, 1-9. https://doi.org/10.1080/10410236.2020.1838106
Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access Information Society, 14, 81-95. https://doi.org/10.1007/s10209-014-0348-1
Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191. https://doi.org/10.1287/isre.2.3.173
McGuire, W. J. (1969). The nature of attitudes and attitude change, In G. Lintzey & E. Aronson (Eds.), Handbook of Social Psychology. Addison-Wesley.
Milosevic, T. (2016). Social media companies’ cyberbullying policies. International Journal of Communication, 10, 5164-5185. https://ijoc.org/index.php/ijoc/article/view/5320
Moon, J.-W. & Kim, Y.-G. (2001) Extending the TAM for a World-Wide-Web context. Information and Management, 38, 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6
Moore, M. J., Nakano, T., Enomoto, A., & Suda, T. (2012). Anonymity and roles associated with aggressive posts in an online forum. Computers in Human Behavior, 28(3), 861-867. https://doi.org/10.1016/j.chb.2011.12.005
Murimi, R. (2018, November). Online Social Networks for Meaningful Social Reform. In 2018 World Engineering Education Forum-Global Engineering Deans Council (WEEF-GEDC) (pp. 1-6). IEEE. https://doi.org/10.1109/WEEF-GEDC.2018.8629713
Mynatt, E. D., O’Day, V. L., Adler, A., & Ito, M. (1998). Network communities: Something old, something new, something borrowed... Computer Supported Cooperative Work (CSCW), 7(1-2), 123-156. https://doi.org/10.1023/A:1008688205872
Ngai, E. W., Poon, J. K. L., & Chan, Y. H. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250-267. https://doi.org/10.1016/j.compedu.2004.11.007
Norman, D. A. (1988). The design of everyday things. Doubleday.
O’Brien, S. A. (2015). 20 million people are sharing secrets on this app. https://money.cnn.com/2015/12/11/technology/whisper-20-million-users-privacy
Ortutay, B. (2014). Anonymous apps like Secret and Whisper find a niche in Silicon Valley. https://www.mercurynews.com/2014/03/24/anonymous-apps-like-secret-and-whisper-find-a-niche-in-silicon-valley/
Park, E., Baek, S., Ohm, J., & Chang, H. J. (2014). Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model. Telematics and Informatics, 31(1), 3-15. https://doi.org/10.1016/j.tele.2013.07.001
Park, N. (2010). Adoption and use of computer-based voice over Internet protocol phone service: Toward an integrated model. Journal of Communication, 60(1), 40-72. https://doi.org/10.1111/j.1460-2466.2009.01440.x
Pedersen, D. M. (1997). Psychological functions of privacy. Journal of environmental psychology, 17(2), 147-156. https://doi.org/10.1006/jevp.1997.0049
Peter, J., & Valkenburg, P. M. (2011). Adolescents” online privacy: Toward a developmental perspective. In Privacy online (pp. 221-234). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21521-6_16
Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European journal of information systems, 17(3), 236-263. https://doi.org/10.1057/ejis.2008.15
Pinsonneault, A., & Heppel, N. (1997). Anonymity in group support systems research: A new conceptualization, measure, and contingency framework. Journal of Management Information Systems, 14(3), 89-108. https://doi.org/10.1080/07421222.1997.11518176
Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of business research, 59(9), 999-1007. https://doi.org/10.1016/j.jbusres.2006.06.003
Posteuca-Esi, N. L. (2019). Social and psychological benefits of self-disclosure. International Journal of Social and Educational Innovation (IJSEIro), 6(12), 25-29. https://www.journals.aseiacademic.org/index.php/ijsei/article/view/136
Putzke, J., Fischbach, K., Schoder, D., & Gloor, P. (2010). The evolution of interaction networks in massively multiplayer online games. Journal of the Association for Information Systems, 11(2), 69-94. https://doi.org/10.17705/1jais.00221
Ramírez-Correa, P., Grandón, E. E., Ramírez-Santana, M., & Belmar Órdenes, L. (2019). Explaining the use of social network sites as seen by older adults: The enjoyment component of a hedonic information system. International journal of environmental research and public health, 16(10), 1673. https://doi.org/10.3390/ijerph16101673
Razmak, J., & Bélanger, C. (2018). Using the technology acceptance model to predict patient attitude toward personal health records in regional communities. Information Technology & People. https://doi.org/10.1108/ITP-07-2016-0160
Ritz, W., Wolf, M., & McQuitty, S. (2019). Digital marketing adoption and success for small businesses. Journal of Research in Interactive Marketing. https://doi.org/10.1108/JRIM-04-2018-0062
Roca, J. C., & Gagné, M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in Human Behavior, 24(4), 1585-1604. https://doi.org/10.1016/j.chb.2007.06.001
Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal of Human–Computer Studies, 64(8), 683-696. https://doi.org/10.1016/j.ijhcs.2006.01.003
Rogers E., M. (1995). The diffusion of innovation (4^th ed). Free Press.
Saker, M., & Evans, L. (2016). Everyday life and locative play: An exploration of Foursquare and playful engagements with space and place. Media, Culture & Society, 38(8), 1169-1183. https://doi.org/10.1177/0163443716643149
Tao, D., Wang, T., Wang, T., Zhang, T., Zhang, X., & Qu, X. (2020). A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies. Computers in Human Behavior, 104, 106147. https://doi.org/10.1016/j.chb.2019.09.023
Tate, M., & Evermann, J. (2009). Perceptive users with attitudes-some heuristics on theorizing. ICIS 2009 Proceedings, 139.
Taylor, S., & Todd, P. A. (1995a). Understanding information technology usage: A test of competing models. Information Systems Research, 6, 144-176. https://doi.org/10.1287/isre.6.2.144
Taylor, S., & Todd, P. A. (1995b). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561-570. https://doi.org/10.2307/249633
Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers’ computer attitudes: applying and extending the technology acceptance model. Journal of Computer Assisted Learning, 24(2), 128-143. https://doi.org/10.1111/j.1365-2729.2007.00247.x
Tsai, T. H., Chang, H. T., & Ho, Y. L. (2016). Perceptions of a specific family communication application among grandparents and grandchildren: An extension of the technology acceptance model. PloS one, 11(6), e0156680. https://doi.org/10.1371/journal.pone.0156680
Tsay-Vogel, M., Shanahan, J., & Signorielli, N. (2018). Social media cultivating perceptions of privacy: A 5-year analysis of privacy attitudes and self-disclosure behaviors among Facebook users. New Media & Society, 20(1), 141-161. https://doi.org/10.1177/1461444816660731
Valkenburg, P. M., & Peter, J. (2011). Online communication among adolescents: An integrated model of its attraction, opportunities, and risks. Journal of Adolescent Health, 48(2), 121-127. https://doi.org/10.1016/j.jadohealth.2010.08.020
van der Heijden, H. (2003). Factors influencing the usage of websites: The case of a generic portal in The Netherlands. Information & Management, 40(6), 541-549. https://doi.org/10.1016/S0378-7206(02)00079-4
Vaterlaus, J. M. (2017). Yik Yak: An exploratory study of college student uses and gratifications. Bulletin of Science, Technology & Society, 37(1), 23-33. https://doi.org/10.1177/0270467617738902
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Vossen, H. G., & Valkenburg, P. M. (2016). Do social media foster or curtail adolescents” empathy? A longitudinal study. Computers in Human Behavior, 63, 118-124. https://doi.org/10.1016/j.chb.2016.05.040
Wakefield, R. L., & Whitten, D. (2006). Mobile computing: A user study on hedonic/utilitarian mobile device usage. European Journal of Information Systems, 15(3), 292-300. https://doi.org/10.1057/palgrave.ejis.3000619
Wang, G., Wang, B., Wang, T., Nika, A., Zheng, H., & Zhao, B. Y. (2014, November). Whispers in the dark: analysis of an anonymous social network. In Proceedings of the 2014 Conference on Internet Measurement Conference (pp. 137-150). https://doi.org/10.1145/2663716.2663728
Wirtz, B. W., & Göttel, V. (2016). Technology acceptance in social media: review, synthesis and directions for future empirical research. Journal of Electronic Commerce Research, 17(2), 97. http://www.jecr.org/sites/default/files/17_2Paper1.pdf

Journal Details

Founded In: 2011

Published: Quarterly

Language: English

APC: €900

Indexed in ESCI & SCOPUS

Impact Factor (IF): 0.7 (2023)

Five Year IF : 0.8

JCI : 0.56 (2023)

CiteScore 2021 : 3.4

Submit Now