Abstract
The Enterprise mobility communication technology provides easy and quick accessibility to data and information integrated into one single touch point device. This device incorporates or integrates all the processes into small applications or App and thus increases the workforce capability of knowledge workers. “App” which is a small set of programming statements installed on a mobile device. It facilitates the easy retrieval of information while the users are mobile. A single touch point can be loaded with the required data and information all the time. The readiness and availability of data facility can reduce the turnaround response time. The application of mobile technology has already picked up the market in distinguished domain worldwide. In the Indian education sector this technology is yet to be adopted. This paper aims at showing how enterprise mobility can facilitate the University system and user preferences in the mobile App. The paper also highlights how data mining techniques can be applied to various processes, hence exploring user patterns. A new model using data mining techniques is proposed.
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References
Maan (2012). Jitendra maan. Mobile web—Strategy for enterprise success. International Journal on WebService Computing (IJWSC), 3(1).
Basole, R. C. (2005). Transformational value and enterprise readiness. Georgia Institute of Technology, published in the 26th ASEM National Conference Proceedings, October.
Bose, R. C. (2005). Mobile applications: A multi-phase framework. Published in the Transforming Enterprises through Mobile Applications Proceedings of the Eleventh Americas Conference on Information Systems, Omaha, NE, USA August 11th–14th.
Do, T. M. T., et al. (2011). Smartphone usage in the wild: A large-scale analysis of applications and context. Published in the proceedings of ICMI’11, November 14–18, 2011, Alicante, Spain ACM.
IndiaPRwire (2012). India’s rapidly evolving enterprise mobility market to touch USD 1 billion by mid-2015: Zinnov Study.
Lenova (2012). Finding the right partner for your school: 10 questions to ask mobile device vendors before you say yes. White paper by Lenova.
Lenova (2012). Mobility tech guide for higher education: How IT leaders can promote innovation and improve efficiency. White paper by Lenova.
Motorola (2012). How technology is changing the ways students learn and teachers teach. White paper by Motorola.
Pulli, P., Zheng, X., Antoniac, P., Hickey, S., Manninen, T. (2003). Mobile virtual enterprise communication reference model. The Proceedings of the 9th International Conference of Concurrent Enterprising, Espoo, Finland, 16–18 June 2003.
Ranjan, J., & Ranjan, R. (2010). Application of data mining techniques in higher education in India. Journal of Knowledge Management Practice, 11(Special Issue 1).
Singh, A., Rana, A., Ranjan, J., et al. (2014). Reviewing data mining techniques in customer relationship management. Accepted and under publishing IJDATS Inder Science, 7(4).
Smart Mobility (2009). Think Smart Smart Mobility. Enterprise mobility: Why and what you need to know.
White Paper Dell (2012). Enterprise mobility solutions: Maximizing your mobile investment.
White Paper CIO IBM (2009). Enterprise mobility connecting through a world of opportunity.
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Singh, A., Ranjan, J. A framework for mobile apps in colleges and universities: Data mining perspective. Educ Inf Technol 21, 643–654 (2016). https://doi.org/10.1007/s10639-014-9345-5
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DOI: https://doi.org/10.1007/s10639-014-9345-5