Abstract
Technological systems can be equipped with persuasive design principles that influence user perceptions. For instance, earlier research showed that Perceived Social Support can influence user perceptions such as effectiveness and knowledge sharing intentions. However, to our knowledge, how Perceived Social Support affects Perceived Credibility has not been investigated. This study investigates the influence of Perceived Social Support on Perceived Credibility. A survey questionnaire was employed to gather user perceptions of social support and credibility in the context of Academic Social Networking Sites (ASNSs). Analysis using Partial Least Square Structural Equation Modeling (PLS-SEM) confirmed Perceived Social Support as a determinant of Perceived Credibility. Also, Dialogue Support and Primary Task Support were identified to be predictors of Perceived Social Support. The study recommends that designers improve the social support features (e.g., through integrating machine learning and data mining techniques).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Orji, F.A., Greer, J., Vassileva, J.: Exploring the effectiveness of socially-oriented persuasive strategies in education. In: International Conference on Persuasive Technology, pp. 297–309 (2019)
Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: key issues, process model, and system features. Commun. Assoc. Inf. Syst. 24(1), 28 (2009)
Drozd, F., Lehto, F., Oinas-Kukkonen, H.: Exploring perceived persuasiveness of a behavior change support system: a structural model. In: International Conference on Persuasive Technology, pp. 157–168 (2012)
Wiafe, I., Koranteng, F.N., Kastriku, F.A., Gyamera, G.O.: Assessing the impact of persuasive features on user’s intention to continuous use: the case of academic social networking sites. Behav. Inf. Technol. (2020). https://doi.org/10.1080/0144929X.2020.1832146
Wiafe, I., Koranteng, F.N., Owusu, E., Ekpezu, A.O., Gyamfi, S.A.: Persuasive social features that promote knowledge sharing among tertiary students on social networking sites: An empirical study. J. Comput. Assist. Learn. 36(5), 636–645 (2020). https://doi.org/10.1111/jcal.12433
Adaji, I., Vassileva, J.: Perceived effectiveness, credibility and continuance intention in e-commerce: a study of Amazon. In: International Conference on Persuasive Technology, pp. 293–306 (2017)
Lehto, T., Oinas-Kukkonen, H.: Explaining and predicting perceived effectiveness and use continuance intention of a behaviour change support system for weight loss. Behav. Inf. Technol. 34(2), 176–189 (2015)
Tseng, S., Fogg, B.J.: Credibility and computing technology. Commun. ACM 42(5), 39–44 (1999)
Metzger, M.J., Flanagin, A.J.: Credibility and trust of information in online environments: the use of cognitive heuristics. J. Pragmat. 59, 210–220 (2013)
Jordan, K.: Academics and their online networks: exploring the role of academic social networking sites. First Monday 19(11) (2014)
Kelly, B.: Using social media to enhance your research activities. In: Paper presented at Social Media in Social Research 2013 Conference, London (2013)
Bhardwaj, R.K.: Academic social networking sites. Inf. Learn. Sci. 118(5/6), 298–316 (2017)
Veletsianos, G.: Open practices and identity: evidence from researchers and educators’ social media participation. Br. J. Educ. Technol. 44(4), 639–651 (2013)
Gruzd, A., Goertzen, M.: Wired academia: why social science scholars are using social media. In: 2013 46th Hawaii International Conference on System Sciences, 2013, pp. 3332–3341 (2013)
Ovadia, S.: ResearchGate and Academia.edu: Academic social networks. Behav. Soc. Sci. Librar. 33(3), 165–169 (2014)
Williams, A.E., Woodacre, M.A.: The possibilities and perils of academic social networking sites. Online Inf. Rev. 40(2), 282–294 (2016)
Ben Jabeur, L., Tamine, L., Boughanem, M.: A social model for literature access: towards a weighted social network of authors. In: International Conference on Adaptivity, Personalization and Fusion of Heterogeneous Information (RIAO 2010), 2010, support--électronique
Espinoza Vasquez, F.K., Caicedo Bastidas, C.E.: Academic social networking sites: a comparative analysis of their services and tools. In: iConference 2015 Proceedings (2015)
Gruzd, A., Staves, K., Wilk, A.: Tenure and promotion in the age of online social media. Proc. Am. Soc. Inf. Sci. Technol. 48(1), 1–9 (2011)
Bandura, A.: Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall Inc., Englewood Cliffs (1986)
Craig, W., et al.: Social media use and cyber-bullying: a cross-national analysis of young people in 42 countries. J. Adolesc. Heal. 66(6), S100–S108 (2020)
Barbour, K., Marshall, D.: The academic online: constructing persona through the World Wide Web. First Monday 17(9), 1–12 (2012). https://doi.org/10.5210/fm.v0i0.3969
Ansong-Gyimah, K.: Students’ perceptions and continuous intention to use e-learning systems: the case of google classroom. Int. J. Emerg. Technol. Learn. 15(11), 236–244 (2020)
Koranteng, F.N., Ham, J., Wiafe, I., Matzat, U.: The role of usability, aesthetics, usefulness and primary task support in predicting the perceived credibility of academic social networking Sites. Behav. Inf. Technol. (2021). https://doi.org/10.1080/0144929X.2021.2009570
Mercer, N.: “Developing dialogues.” In: Wells, G., Claxton, G. (eds.) Learning for Life in the 21st: Sociocultural Perspectives on the Future of Education, pp. 141–153. Blackwell. Oxford (2002). https://doi.org/10.1002/9780470753545.ch11
Baffy, M.: Constructed dialogue as a resource for promoting students’ socialization to written academic discourse in an EAP class. Linguist. Educ. 46, 33–42 (2018)
Shmueli, G., et al.: Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. Eur. J. Mark. 53(11), 2322–2347 (2019). https://doi.org/10.1108/EJM-02-2019-0189
Hair, J.F., Sarstedt, M.: Factors versus composites: guidelines for choosing the right structural equation modeling method. Proj. Manag. J. 50(6), 619–624 (2019). https://doi.org/10.1177/8756972819882132
Fornell, C., Lacker, D.F.: Evaluating structural equation modeling for travel behavior research. Transp. Res. part B, Univ. Michigan 37, 1–25 (1981)
Matzat, U.: Academic communication and internet discussion groups: transfer of information or creation of social contacts? Soc. Netw. 26(3), 221–255 (2004)
Haslam, D.M., Tee, A., Baker, S.: The use of social media as a mechanism of social support in parents. J. Child Fam. Stud. 26(7), 2026–2037 (2017)
Masthoff, J., Grasso, F., Ham, J.: Preface to the special issue on personalization and behavior change. User Model. User-Adap. Inter. 24(5), 345–350 (2014). https://doi.org/10.1007/s11257-014-9151-1
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Koranteng, F.N., Ham, J., Matzat, U., Wiafe, I. (2022). Supporting to be Credible: Investigating Perceived Social Support as a Determinant of Perceived Credibility. In: Baghaei, N., Vassileva, J., Ali, R., Oyibo, K. (eds) Persuasive Technology. PERSUASIVE 2022. Lecture Notes in Computer Science, vol 13213. Springer, Cham. https://doi.org/10.1007/978-3-030-98438-0_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-98438-0_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-98437-3
Online ISBN: 978-3-030-98438-0
eBook Packages: Computer ScienceComputer Science (R0)