A Study on Consumer Perception towards Adoption of 4G Mobile Technologies in Rwanda

Nshakabatenda Ramadhani, Prashant Kalaskar, Vaishali Satpute

Abstract


Consumer adoption process affects the success or failure of products in service industry. Though 4G technology is gaining an increasing importance in developed countries, there are various factors that will affect the acceptance of 4G technology in developing country like Rwanda. Over 2G technologies, 3G technology is well accepted by the Rwandan youths and service sector employees for its benefits like speed, price, and service availability etc. This study is conducted to understand to understand the interplay of factors involved in the adoption process of 4G technologies in Rwanda. This study was conducted on 150 consumers, who are 3G technology users, a cross sectional data was collected through structured questionnaire using interview method. Data collected was analysed using SPSS17 revealed the underlying factors like perceived benefits, perceived usefulness & perceived ease of handling, affects the adoption of 4G technology in Rwanda consumers.


Keywords


4G technology; Convenience; Service Quality; Perceived Value; TAM

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References


Sara Hennessy, Brown Onguko and Leonard Wamakote, “Developing the Use of Information and Communication Technology to Enhance Teaching and Learning in East African Schools: Review of the Literature”, Centre for Commonwealth Education & Aga Khan University Institute for Educational Development – Eastern Africa Research Report No. 1, May 2010.

Pagani, M, (2004), “Determinants of adoption of Third Generation mobile multimedia services”, Journal of Interactive Marketing, 18(3).

Y. L. Wu, Y. Tao, and P. C. Yang, “The use of unified theory of acceptance and use of technology to confer the behavioral model of 3G mobile telecommunication users”, Journal of Statistics and Management Systems, Vol. 11, No. 5, pp. 919–949, October 2010.

Davis, Bagozzi, and Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models”, Management Science Vol. 35, No. 8, pp. 982-1003, 1989.

Adams, D.A, Nelson, R.R & Todd, P.A., PU, ease of use and usage of information technology are application, MIS Quarterly, June 1992.

Dishaw and Strong, “Extending the Task Technology Fit Model with Self Efficiency Construct”, Eighth Americas Conference on Information System, pp. 1021-1027, 2002.

Margherita Pagani, “Determinants of adoption of Third Generation mobile multimedia services”, Journal of Interactive Marketing, Vol. 18, No. 3, pp. 46-59, Summer 2004.

A. Parasuraman, V. A. Zeithaml, and L. L. Berry, “A conceptual model of service quality and implications for future research”, Journal of Marketing , Vol. 49, pp. 41-50, Fall 1985.

Woodruff and Robert B, “Customer Value: The Next Source of Competitive Advantage” The Journal of Academy of Marketing Science, Vol.25, No. 2, pp.139-153, 1997.

A Parsuraman and Dhruv Grewal, “The Impact of Technology on the Quality-Value-Loyalty Chain: A Research Agenda”, The Journal of Academy of Marketing Science, Vol. 28, No. 1, pp. 168-174, 2000.

Zeithmal and A. Valerie, “Consumer Perception of Price-Quality-Value: A Means End Model an Synthesis of Evidence”, ournal of Marketing, Vol. 52, No. 3, pp. 2-22, January 1988.

J. Jacoby and J. C. Olson, “Consumer Response to Price: An Attitudinal Information Processing”, in Moving Ahead with Attitude Research, Wind Yand Greenberg M (Eds), American Marketing Association, Chicago, pp. 73-86, 1977.

Dickson P. R. and A. G. Sawyer (1990), The Price Knowledge and Search of Supermarket Shoppers. Journal of Marketing, 54 (July), 42–53.

Chau, P.Y.K., & Hu, P.J. Information Technology Acceptance by Individual Professionals: A Model Comparison Approach, Decision Sciences, Vol. 32, No. 4, pp. 699-719, 2001

Subramanian, “A Replication of Perceived Usefulness and Perceived Ease of Use Measurement”, Decision Sciences, Vol. 25, No. 5-6, pp. 863-74. June 1994.

M.S. Norazah, T. Ramayah, and M. S. Norbayah, “Internet shopping acceptance: examining the influence of intrinsic versus extrinsic motivations”, Direct Marketing: An International Journal, Vol. 2 No. 2, pp. 97-110, 2008.

J. Moon, and Y. Kim, “Extending the TAM for a World-Wide-Web context”, Information and Management, Vol. 38, pp. 217-230, 2001.

L. R. Vijayasarathy, “Predicting Consumer Intentions to Use On-line Shopping: The Case for an Augmented Technology Acceptance Model”, Information & Management, Vol. 41, No. 6, pp. 747-762, 2004.


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