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Investigation of Higher Education ERP implementation factors

Published: 13 September 2018 Publication History

Abstract

The increasing use of technology in educational systems has made a large amount of data available. As result, different studies are focused in using data mining techniques to resolve educational issues based on data analysis. In contrast, in this paper the focus is in important IT issues related to HEIs (higher education institution s) such as information systems and the use of enterprise resource planning systems in enhancing university operations and performance. This study provides a compelling evidence of the market analysis of 20 identified information systems by type, vendor, and level of implementation in more than 700 universities worldwide. Using the data, a framework for ERP System analysis in HEIs is proposed. The framework is composed of four layers: University data aggregation, University data analysis, University ERP system exploratory analysis/ investigation and Decision-making. The usage of framework will improve the process of decision making concerning the factors that influence the implementation approach for Student Information System (SIS) and identifying the relationships between university characteristics and systems modules implementation.

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Cited By

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  • (2024)An Innovative Method for Enterprise Resource Planning (ERP) for Business and knowledge Management Based on Tree MLP Model2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)10.1109/IACIS61494.2024.10721644(1-6)Online publication date: 23-Aug-2024
  • (2024)Measuring the success of information systems in higher education – a systematic reviewEducation and Information Technologies10.1007/s10639-024-12564-829:14(18323-18360)Online publication date: 1-Oct-2024

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  1. Investigation of Higher Education ERP implementation factors

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      cover image ACM Other conferences
      CompSysTech '18: Proceedings of the 19th International Conference on Computer Systems and Technologies
      September 2018
      206 pages
      ISBN:9781450364256
      DOI:10.1145/3274005
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      In-Cooperation

      • ERSVB: EURORISC SYSTEMS - Varna, Bulgaria
      • FOSEUB: FEDERATION OF THE SCIENTIFIC ENGINEERING UNIONS - Bulgaria
      • UORB: University of Ruse, Bulgaria
      • TECHUVB: Technical University of Varna, Bulgaria

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 13 September 2018

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      Author Tags

      1. Data Mining
      2. ERP approaches
      3. Enterprise Systems
      4. Higher Education

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      View all
      • (2024)An Innovative Method for Enterprise Resource Planning (ERP) for Business and knowledge Management Based on Tree MLP Model2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)10.1109/IACIS61494.2024.10721644(1-6)Online publication date: 23-Aug-2024
      • (2024)Measuring the success of information systems in higher education – a systematic reviewEducation and Information Technologies10.1007/s10639-024-12564-829:14(18323-18360)Online publication date: 1-Oct-2024

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