Abstract
With the advancement of mobile devices and sophisticated mobile data transmission technologies nurtured by telecommunication providers of 4G services, m-commerce has become an important platform for easier consumer interactions. It’s in this light that researchers have been paying much attention to how businesses, can reach specific consumer segments such as teens and young adults. This research aims to investigate factors predicting the consumer’s intention to adopt m-commerce in Cameroon, but also the moderating effects of demographic variables on such prediction. Data were collected from 262 Cameroonian respondents aged less than 45, as the category of unconditional IT users in Cameroon. A quantitative approach based on the PLS-SEM algorithm was used. Results showed no significant moderating effect of age and gender for the hypothesis: Behavioural intention positively influences consumer intention to adopt m-commerce. Findings are expected to help companies dealing with m-commerce to better formulate marketing strategies to attract more users.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Smartphone Users Worldwide Will Total 1.75 Billion in 2014: eMarketer. https://www.emarketer.com/Article/Smartphone-Users-Worldwide-Will-Total-175-Billion-2014/1010536. Accessed: 22 Nov 2017
CIA: The world Factbook – Africa: Cameroon (2016)
Internet lives stats: Cameroon Internet Users 10 Jan 2017
Zhou, T., Lu, Y., Wang, B.: Integrating TTF and UTAUT to explain mobile banking user adoption. Comput. Hum. Behav. 26(4), 760–767 (2010)
Yang, K.C.: Exploring factors affecting the adoption of mobile commerce in Singapore. Telemat. Inform. 22(3), 257–277 (2005)
Feng, H., Hoegler, T., Stucky, W.: Exploring the critical success factors for mobile commerce. In: International Conference on Mobile Business. ICMB 2006, p. 40 (2006)
Tarasewich, P., Nickerson, R.C., Warkentin, M.: Issues in mobile e-commerce. Commun. Assoc. Inf. Syst. 8(1), 3 (2002)
Tiwari, R., Buse, S.: The mobile commerce prospects: A strategic analysis of opportunities in the banking sector (2007)
Chong, A.Y.-L.: Mobile commerce usage activities: The roles of demographic and motivation variables. Technol. Forecast. Soc. Change 80(7), 1350–1359 (2013)
Davis, F.D.: The original TAM Model (1986)
Rogers, E.M.: Diffusion of innovations (1995)
Fishbein, M., Ajzen, I.: Belief, Attitude, Intention, and Behavior: An introduction to theory and research, (1975)
Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view, MIS Q, pp. 425–478 (2003)
Hofstede, G.: Culture and organizations. Int. Stud. Manag. Organ. 10(4), 15–41 (1980)
Hoppe, M.H.: Culture and leader effectiveness: The GLOBE study, Cent. Eur. J. Commun. (2007)
Grabner-Kräute, S., Kaluscha, E.A.: Empirical research in on-line trust: a review and critical assessment. Int. J. Hum.-Comput. Stud. 58(6), 783–812 (2003)
Grabner-Kräuter, S., Kaluscha, E.A.: Engendering consumer trust in e-commerce: Conceptual clarification and empirical findings, Trust Netw. Econ. 55–69 (2003)
Søndergaard, M., Hofstede, G.: Culture’s Consequences: Comparing Values, Behaviours, Institutions, and Organizations Across Nations. Int. J. Cross Cult. Manag., 243–246 (2001)
Veiga, J.F., Floyd, S., Dechant, K.: Towards modelling the effects of national culture on IT implementation and acceptance. J. Inf. Technol. 16(3), 145–158 (2001)
Davis, F.D.: Perceived Usefulness, perceived Ease of use and User acceptance of Information technology (1989)
Chong, A.Y.-L., Darmawan, N., Ooi, K.-B., Lin, B.: Adoption of 3G services among Malaysian consumers: an empirical analysis. Int. J. Mob. Commun. 8(2), 129–149 (2010)
Chong, A.Y.-L., Ooi, K.-B.: Lin, B., Bao, H.: An empirical analysis of the determinants of 3G adoption in China. Comput. Hum. Behav. 28(2), 360–369 (2012)
Lule, I., Omwansa, T.K., Waema, T.M.: Application of Technology Acceptance Model (TAM) in M-Banking Adoption in Kenya. Int. J. Comput. ICT Res. 6(1), 31–43 (2012)
Mortimer, G.: Determining the drivers of M-Banking adoption: a cross cultural study. Presented at the AM2015 Academy of Marketing Conference: The Magic in Marketing, Limerick, Ireland (2015)
El-Gohary, H.: Factors affecting E-Marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organisations. Tour. Manag. 33(5), 1256–1269 (2012)
Lin, S.-P.: Determinants of adoption of mobile healthcare service. Int. J. Mob. Commun. 9(3), 298–315 (2011)
Dai, H., Palvi, P.C.: Mobile commerce adoption in China and the United States: a cross-cultural study. ACM SIGMIS Database 40(4), 43–61 (2009)
Sadi, A.H.M., Noordin, M.F.: Factors influencing the adoption of M-commerce: An Exploratory Analysis (2011)
Wu, J.-H., Wang, S.-C.: What drives mobile commerce?: an empirical evaluation of the revised technology acceptance model. Inf. Manage. 42(5), 719–729 (2005)
Tsu, Wei T., Marthandan, G., Yee-Loong, Chong A., Ooi, K.-B., Arumugam, S.: What drives Malaysian m-commerce adoption? an empirical analysis. Ind. Manag. Data Syst. 109(3), 370–388 (2009)
Jeyaraj, A., Rottman, J.W., Lacity, M.C.: A review of the predictors, linkages, and biases in IT innovation adoption research. J. Inf. Technol. 21(1), 1–23 (2006)
Min, Q., Ji, S., Qu, G.: Mobile commerce user acceptance study in China: a revised UTAUT model. Tsinghua Sci. Technol. 13(3), 257–264 (2008)
Chew, A.A.: The adoption of M-Commerce in the United States, Unpubl. Honors Thesis California State University. Long Beach CA (2006)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
Carlsson, C., Carlsson J., Hyvonen, K., Puhakainen, J., Walden, P.: Adoption of mobile devices/services—searching for answers with the UTAUT. In: Proceedings of the 39th Annual Hawaii International Conference on System Sciences, 2006. HICSS 2006, vol. 6, p. 132a (2006)
Chong, A.Y.-L., Chan, F.T., Ooi, K.-B.: Predicting consumer decisions to adopt mobile commerce: cross country empirical examination between China and Malaysia. Decis. Support Syst. 53(1), 34–43 (2012)
Hair Jr., J.F., Hult, G.T.M., Ringle, C., Sarstedt, M.: A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications, Thousand Oaks (2016)
Chin, W.W.: The partial least squares approach to structural equation modeling. Mod. Methods Bus. Res. 295(2), 295–336 (1998)
Fornell, C., Cha, J.: Partial least squares. Adv. Methods Mark. Res. 407(3), 52–78 (1994)
Sarstedt, M., Henseler, J., Ringle, C.M.: Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. Measurement and research methods in international marketing, pp. 195–218. Emerald Group Publishing Limited, Bingley (2011)
Henseler, J., Ringle, C.M., Sinkovics, R.R.: The use of partial least squares path modeling in international marketing. In: New challenges to international marketing, pp. 277–319. Emerald Group Publishing Limited, Bingley (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Ntsafack, F.W., Kamdjoug, J.R.K., Wamba, S.F. (2018). Exploring Factors Affecting Mobile Services Adoption by Young Consumers in Cameroon. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-77712-2_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77711-5
Online ISBN: 978-3-319-77712-2
eBook Packages: EngineeringEngineering (R0)