Abstract
By combining TAM theory and selected variables from the literature review on social network adoption, this paper aims to analyze the impact of WhatsApp on African and urban communication, more specifically on Cameroonian communication satisfaction. We developed our research model based on 12 relevant variables from the literature review. Based on a dataset of 161 WhatsApp users in Cameroon, we proceed to the data analysis process using the PLS-SEM method with the SmartPLS and XLSTAT software. This study shows that Attitude, Intention to Use, Perceived Usefulness, Perceived Ease of Use, Perceived Security, Perceived Connectivity, Perceived Self-Efficacy, Perceived Enjoyment, Content, and Format have a significant impact on WhatsApp users’ satisfaction. From these results, we can conclude that the WhatsApp application has revolutionized how Cameroonians interact with each other and are satisfied with its services and use.
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References
Fambeu, A., Bakehe, N.: Interaction sociale et usages d’Internet au Cameroun. L’Actualité économique 91(4), 421–460 (2015)
Maphosa, V., Dube, B., Jita, T.: A UTAUT evaluation of WhatsApp as a tool for lecture delivery during the COVID-19 lockdown at a Zimbabwean University. Int. J. High. Educ. 9(5), 84–93 (2020)
Penard, T., Poussing, N., Mukoko, B., Piaptie, G.B.T.: Internet adoption and usage patterns in Africa: evidence from Cameroon. Technol. Soc. 42, 71–80 (2015)
Shambare, R.: The adoption of WhatsApp: breaking the vicious cycle of technological poverty in South Africa. J. Econ. Behav. Stud. 6(7), 542–550 (2014)
Dhume, S.M., Pattanshetti, M.Y., Kamble, S.S., Prasad, T.: Adoption of social media by business education students: application of technology acceptance model (TAM). In: 2012 IEEE International Conference on Technology Enhanced Education (ICTEE), pp 1–10. IEEE (2012)
Praveena, K., Thomas, S.: Continuance intention to use Facebook: a study of perceived enjoyment and TAM. Bonfring Int. J. Ind. Eng. Manage. Sci. 4(1), 24–29 (2014)
Al-Rahimi, W.M., Othman, M.S., Musa, M.A.: Using TAM model to measure the use of social media for collaborative learning. Int. J. Eng. Trends Technol. 5(2), 90–95 (2013)
Al-Maroof, R.A., Arpaci, I., Al-Emran, M., Salloum, S.A., Shaalan, K.: Examining the acceptance of WhatsApp stickers through machine learning algorithms. In: Al-Emran, M., Shaalan, K., Hassanien, A.E. (eds.) Recent Advances in Intelligent Systems and Smart Applications. SSDC, vol. 295, pp. 209–221. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-47411-9_12
Mazana, M.Y.: Social media in the classroom: WhatsApp a new communication tool for enhanced class interactions (2018)
De Benedictis, A., et al.: WhatsApp in hospital? An empirical investigation of individual and organizational determinants to use. PLoS ONE 14(1), e0209873 (2019)
Cetinkaya, L.: The impact of WhatsApp use on success in education process. Int. Rev. Res. Open Distrib. Learn. 18(7), 59–74 (2017)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989)
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)
Rauniar, R., Rawski, G., Johnson, B., Yang, J.: Social media user satisfaction—theory development and research findings. J. Internet Commer. 12(2), 195–224 (2013)
Wamba, S.F., Bhattacharya, M., Trinchera, L., Ngai, E.W.: Role of intrinsic and extrinsic factors in user social media acceptance within workspace: assessing unobserved heterogeneity. Int. J. Inf. Manage. 37(2), 1–13 (2017)
Sorensen, K.N.: Millennials’ Acceptance of Voice Activated Shopping (2019)
Luo, X., Gurung, A., Shim, J.P.: Understanding the determinants of user acceptance of enterprise instant messaging: an empirical study. J. Organ. Comput. Electron. Commer. 20(2), 155–181 (2010)
Ali, Z., Gongbing, B., Mehreen, A.: Understanding and predicting academic performance through cloud computing adoption: a perspective of technology acceptance model. J. Comput. Educ. 5(3), 297–327 (2018). https://doi.org/10.1007/s40692-018-0114-0
Kavota, J.K., Kamdjoug, J.R.K., Wamba, S.F.: Social media and disaster management: case of the north and south Kivu regions in the Democratic Republic of the Congo. Int. J. Inf. Manage. 52, 102068 (2020)
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Kala Kamdjoug, J.R., Nfinda Chouchine, I., Tchatat Tchana, P., Takoudjou, L.C., Goudjou Temo, T. (2022). WhatsApp’s Influence on African and Urban Communication Satisfaction: The Case of Cameroon. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-04826-5_16
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