CONTEXT AWARENESS FRAMEWORK FOR DEVELOPING MOBILE APPLICATIONS: A SURVEY OF SELECTED SMALL AND MEDIUM ENTERPRISES IN NAKURU TOWN, KENYA
DOI:
https://doi.org/10.24297/ijct.v18i0.7788Keywords:
Context-Awareness; Mobile Applications; Context-Awareness Framework; user-centered mobile applicationsAbstract
Mobile applications act as valuable tools that can be used by entrepreneurs and small and
medium enterprises (SMEs) alike to market their products/services and considerably reduce costs of
doing business. The government of Kenya has invested billions of shillings in laying of fiber optic
cables in Kenya, improving Kenya‘s ICT sector and coming up with projects aimed at promoting the
use of technology among businesses and citizens alike. With all of these investments, there are
challenges that hinder the use of business mobile applications by SMEs. Although context
awareness in mobile applications is gaining recognition among mobile user and developer
communities, many design scenarios still do not incorporate required context awareness as one of
their primary goals. Although there are strong context awareness frameworks for mobile
applications, there is still potential to improve the usability of virtual learning systems. The study
established that the concept of context independence including the physical context independence
and the logical context independence from the applications and mobile devices provides a graceful
solution in the form of a methodological framework for the development of context-aware systems
for SMEs in Nakuru Town.
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Ahmed, S., Sharmin, M., & Ahamed, S. (2005). A Smart Meeting Room with Pervasive Computing
Technologies. Networking and Parallel/Distributed Computing, 62(8) , 366-371.
Bardram, J., & Hansen, T. (2010). Context-based workplace awareness. Retrieved May 26, 2014,
from Comp Supp CoopWork: http://dx.doi.org/10.1007/s10606-010-9110-2
Bellotti, E., & Keith. (2001). Intelligibility and Accountability: Human Considerations in Context-
Aware Systems’ Human Computer Interaction. ACM Press.
Burns, N. (2001). The Practice of Nursing Research Conduct, Critique and Utilization. 2nd Edition
W.B.
Carter, R. L., & Crovella., M. E. (1997). Server selection using dynamic path characterization in
wide-area networks. IEEE Conference on Computer Communications (pp. 123-127). Kobe, Japan:
INFOCOM.
Chen, D., & Kotz. (2000). A survey of context-aware mobile computing research, Technical report
TR2000-381. Dartmouth College: Dept. of Computer Science.
Chen, H., Perich, F., Chakraborty, D., & Finin, T. (2004). Intelligent Agents Meet Semantic Web in a
Smart Meeting Room. Third International Joint Conference on Autonomous Agents and Multiagent
Systems (pp. 854-861). New York: IEEE Computer Society,.
Chihani, B., Bertin, E., Jeanne, F., & Crespi, N. (2011). Context-aware systems: a case study. The
International Conference on Digital Information and Communication Technology and its
Applications, (pp. 718–732). France. Heidelberg.
David, P., Irwin, J., Lovett, T., & ONeill, E. (2009). Event-based mobile social network services.
Boston: In MobileHCI.
Deering, S., & Hinden, R. (1998). RFC 2460: Internet protocol, version 6 (IPv6) specification.
Heidelberg: IEEE.
Dey, A. (2001). Understanding and Using Context. Personal Ubiquitous Computing, 45(9) , 4–7.
Dietmar, J., Markus, Z., Alexander, F., & Gerahrd, F. (2010). Recommender Systems. An Introduction
- Cambridge University Press, 5(6) , 15-19.
Diwakar, G., Eisha, K., & Shriya, J. (2010). Context-aware authentication framework. Mobile
Computing Applications, and Services,3(8) , 26–41.
E., A. (2010). A view of cloud computing. Commun, 51(9) , 50-58.
Edwards, W. K. (2005). Putting computing in context: An infrastructure to support extensible
context-enhanced collaborative applications. ACM Transactions on Computer-Human Interaction
(TOCHI) , 446-474.
Ferris, B., Watkins, K., & Borning. (2010). Location-Aware Tools for Improving Public Transit
Usability.
G. Chen, D. K. (2000). A survey of context-aware mobile computing research, Technical report
TR2000-381. Dartmouth College: Dept. of Computer Science, Dartmouth College.
Gediminas, A., Bamshad, M., Francesco, & Alexander, T. (2011). Context-aware recommender
systems. AI Magazine.
George, M., & Henry, N. (2013). Context awareness in mobile computing. International Machine
Learn Appllications, 1(2) , 5-6.
Girish, W. (2000). Designing Adaptive Environment-Aware Applications For Mobile Computing. In
SPIE/ACM Multimedia Computing and Networking, 6(8) , 1-2.
Gkonis, P. P., Anadiotis, A., Kaklamani, D., Andrade, M., & Detti, A. (2011). A content-centric,
publish-subscribe architecture delivering mobile context-aware health services. IEEE Future
Network & Mobile Summit (pp. 1-9). FutureNetw.
Goel, D., Kher, E., & Joag, S. (2010). Mobile Computing, Applications and Services. Lecture Notes of
the Institute for Computer Sciences. Springer Berlin Heidelberg,: Social Informatics and
Telecommunications Engineering.
Government, K. (2014). Central Goverment Integrated Financial Operations Management Systems:.
Nairobi: Goverment Printer.
Government, K. (2013). Local Authority Integrated Financial Operations Management Systems:
Business Register Municipal Council of Nakuru. LA Name: - 576. Nakuru: The Kenya Government.
Guizzardi, G. (2005). Ontological Foundations for Structural Conceptual Models, ,. PhD
Thesis,University of Twente TI-FRS , 15.
Huanhuan Cao, D. J. (2008). Context-aware query suggestion by mining click-through and session.
14th ACM SIGKDD international conference on Knowledge discovery and data mining. (pp. pages
875–883). ACM.
Kuenning, G. H., & Popek, G. J. (October 1997). Automated hoarding for mobile computing. 16th
ACM Symposium on Operating Systems Principles (pp. 95-98). Saint-Malo, France: IEEE.
Lincoln, D., Endler, M., Barbosa, S., & Filho, J. V. (2011). Middleware Support for Context-Aware
Mobile Applications with Adaptive Multimodal User Interfaces. Ubi-Media Computing, 23(5) , 106-
111.
Mei, L., Zhang, Z., & Chan, W. K. (2009). More Tales of Clouds: Software Engineering Research
Issues from the Cloud Application Perspective. Proceedings of the 2009 33rd Annual IEEE
International Computer Software. IEEE Computer Society.
Merriam-Webster. (2014). Merriam-Webster. Retrieved August 6, 2014, from Merriam-Webster
Online: http://www.merriam-webster.com
Michael, M., & Willy, M. (2012). The Effect of MFI Credit on Revenue of SMEs, a Survey of Small
Medium Enterprises in Nakuru Town. International Journal of Science and Research (IJSR), 7(2) , 8-
10.
Raz, d., Juhola, A., & Serrat-Fernandez, J. (2006). Fast and Efficient Context-Aware Services. Canada:
John Wiley & Sons.
Schilit, B., & Theimer, M. (1994). Disseminating Active Map Information to Mobile Hosts. IEEE
Network.
Schmidt, A., Langheinrich, M., & Kersting, K. (2011). Perception beyond the Here and Now.
Retrieved May 20, 2013, from IEEE Computer: http://dx.doi.org/10.1109/MC.2011.54
Strang, T., & Linnhoff-Popien, C. (2004). A Context Modeling Survey. First International Workshop
on Advanced Context Modeling, Reasoning and Management,. Nottingham, UK: UBICOMP 2004,.
Technology, M. o. (2011). ICT Policy. Nairobi: The Government Printer.
Zhou, M., Houck, K., Pan, S., Shaw, J., Aggarwal, V., & Wen, Z. (2006). Enabling Context-Sensitive
Information Seeking. Conference of Intelligent User Interfaces.
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Published
2019-01-02
How to Cite
Siele, P. (2019). CONTEXT AWARENESS FRAMEWORK FOR DEVELOPING MOBILE APPLICATIONS: A SURVEY OF SELECTED SMALL AND MEDIUM ENTERPRISES IN NAKURU TOWN, KENYA. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 18, 7398–7417. https://doi.org/10.24297/ijct.v18i0.7788
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