Implementing a Big-data Based Strategy to Increase Students’ Enrollment for Dalian Neusoft University of Information

DOI

10.2991/snce-18.2018.127How to use a DOI?

Keywords

Customer-to-business; Information technology outsourcing; Big-data techniques; Case based reasoning; Evaluation algorithm

Abstract

Currently, education has become a business sector that provides service to students worldwide, which has shown similarity to consumer goods marketing. Higher education is becoming increasingly competitive among universities. Act as a private higher education organization, Dalian Neusoft University of Information (DNUI) aims to distinguish itself from national universities by topping education quality, students’ innovation ability and startup across all departments in 2022. This needs the support of the most able and motivated students and sufficient funding. This project proposes a big-e based strategy to deal with the dilemma of this university. This strategy is a combination of big-data techniques, Customer-to-Business (C2B) initiative and Information Technology Outsourcing (ITO). Big-data and information technologies are introduced in business field for customer requirement analysis and preferences prediction. Big-data technique enables scale, scope and speed business. C2B enables consumers to name products or services such that the organization can generate the demand collection for a specific good or service. ITO contributes to cost-saving, skilled labor market and short marketing development time scale. Case based reasoning (CBR) is introduced in this project for logic predicate and propositional logic, which contributes to the likelihood and preferences calculation so as to support strategy innovation and current strategies update. The evaluation data of this project is collected from the random sampling technique and self-administered questionnaires were distributed by mail and online to middle school students in Dalian City. Analytic hierarchy process (AHP) algorithm is introduced for evaluating the reputation achieving of this strategy. The curriculum design is assessed by chi-square test. The location and distance analysis are evaluated by correlations.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiacong Zhao
AU  - Xuan Jiao
PY  - 2018/05
DA  - 2018/05
TI  - Implementing a Big-data Based Strategy to Increase Students’ Enrollment for Dalian Neusoft University of Information
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 625
EP  - 630
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.127
DO  - 10.2991/snce-18.2018.127
ID  - Zhao2018/05
ER  -