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Open AccessJournal ArticleDOI

A Hybrid Infrastructure of Enterprise Architecture and Business Intelligence & Analytics for Knowledge Management in Education

TLDR
A hybrid information infrastructure for business intelligence and analytics (BI&A) and KM based on an educational data warehouse (EDW) and an enterprise architecture (EA) repository that allows the digitization of knowledge and empowers the visualization and the analysis of dissimilar organizational components as people, processes, and technology is presented.
Abstract
Advances in science and technology, the Internet of Things, and the proliferation of mobile apps are critical factors to the current increase in the amount, structure, and size of information that organizations have to store, process, and analyze. Traditional data storages present technical deficiencies when handling huge volumes of data and are not adequate for process modeling and business intelligence; to cope with these deficiencies, new methods and technologies have been developed under the umbrella of big data. However, there is still the need in higher education institutions (HEIs) of a technological tool that can be used for big data processing and knowledge management (KM). To overcome this issue, it is essential to develop an information infrastructure that allows the capturing of knowledge and facilitates experimentation by having cleaned and consistent data. Thus, this paper presents a hybrid information infrastructure for business intelligence and analytics (BI&A) and KM based on an educational data warehouse (EDW) and an enterprise architecture (EA) repository that allows the digitization of knowledge and empowers the visualization and the analysis of dissimilar organizational components as people, processes, and technology. The proposed infrastructure was created based on research and will serve to run different experiments to analyze educational data and academic processes and for the creation of explicit knowledge using different algorithms and methods of educational data mining, learning analytics, online analytical processing (OLAP), and EA analytics.

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Journal ArticleDOI

Factors That Influence the Adoption of Enterprise Architecture by Public Sector Organizations: An Empirical Study

TL;DR: Empirical results show that clear communication, coercive pressure, expected benefit, good governance, mimetic pressure, normative pressure, and organizational size have a significant influence on the adoption of EA by public sector organizations.
Proceedings ArticleDOI

A systematic mapping study on Enterprise Architecture for the Education domain: Approaches and Challenges

TL;DR: It is revealed that most research focuses on the development of EA for Higher Education Institutions, while the primary, secondary education and lifelong learning are almost ignored, and a notable research gap is uncovered.
Journal ArticleDOI

Curbing the drawbacks of digitization on psycho-social risks at work in educational institutions. Preliminary evidence from Europe

TL;DR: In this paper, a serial mediation model was designed to obtain evidence on the implications of digitization on the psycho-social risks at work in 3,540 educational institutions in the European Survey of Enterprises on New and Emerging Risks (ESENER).
References
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Journal ArticleDOI

A Dynamic Theory of Organizational Knowledge Creation

TL;DR: In this paper, the authors propose a paradigm for managing the dynamic aspects of organizational knowledge creating processes, arguing that organizational knowledge is created through a continuous dialogue between tacit and explicit knowledge.
Journal ArticleDOI

Review: Knowledge management and knowledge management systems: conceptual foundations and research issues

TL;DR: The objective of KMS is to support creation, transfer, and application of knowledge in organizations by promoting a class of information systems, referred to as knowledge management systems.
Journal ArticleDOI

Knowledge Management: An Organizational Capabilities Perspective

TL;DR: This research suggests that a knowledge infrastructure consisting of technology, structure, and culture along with a knowledge process architecture of acquisition, conversion, application, and protection are essential organizational capabilities or "preconditions" for effective knowledge management.
Journal ArticleDOI

Business intelligence and analytics: from big data to big impact

TL;DR: This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A, and introduces and characterized the six articles that comprise this special issue in terms of the proposed BI &A research framework.
Book

Building the data warehouse

TL;DR: This Second Edition of Building the Data Warehouse is revised and expanded to include new techniques and applications of data warehouse technology and update existing topics to reflect the latest thinking.
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