Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management
Due to SARS-CoV-2 pandemic, higher education institutions are challenged to continue providing quality teaching, consulting, and research production through virtual education environments. In this context, a large volume of data is being generated, and technologies such as big data analytics are nee...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-11-01
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| Series: | Journal of Open Innovation: Technology, Market and Complexity |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2199-8531/7/4/221 |
| _version_ | 1797669269149843456 |
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| author | Giulio Franz Marchena Sekli Iván De La Vega |
| author_facet | Giulio Franz Marchena Sekli Iván De La Vega |
| author_sort | Giulio Franz Marchena Sekli |
| collection | DOAJ |
| description | Due to SARS-CoV-2 pandemic, higher education institutions are challenged to continue providing quality teaching, consulting, and research production through virtual education environments. In this context, a large volume of data is being generated, and technologies such as big data analytics are needed to create opportunities for open innovation by obtaining valuable knowledge. The purpose of this paper is to investigate the factors that influence the adoption of big data analytics and evaluate the relationship it has with performance and knowledge management, taking into consideration that this technology is in its initial stages and that previous research has provided varied results depending on the sector in focus. To address these challenges, a theoretical framework is developed to empirically test the relationship of these variables; 265 members of universities in Latin America were surveyed, and structural equation modeling is used. The findings identify compatibility, an adequate organizational data environment, and external support as factors required to adopt big data analytics, and their positive relationship is tested with knowledge management processes and organizational performance. This study provides practical guidance for decision-makers involved in or in charge of defining the implementation strategy of big data analytics in higher education institutions. |
| first_indexed | 2024-03-11T20:41:46Z |
| format | Article |
| id | doaj.art-ca28de32d67e4af29dfce93aa6a0326a |
| institution | Directory Open Access Journal |
| issn | 2199-8531 |
| language | English |
| last_indexed | 2024-03-11T20:41:46Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Open Innovation: Technology, Market and Complexity |
| spelling | doaj.art-ca28de32d67e4af29dfce93aa6a0326a2023-10-02T02:00:27ZengElsevierJournal of Open Innovation: Technology, Market and Complexity2199-85312021-11-01722122110.3390/joitmc7040221Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge ManagementGiulio Franz Marchena Sekli0Iván De La Vega1CENTRUM Catolica Graduate Business School, Pontificia Universidad Catolica del Peru, Lima 15000, PeruCENTRUM Catolica Graduate Business School, Pontificia Universidad Catolica del Peru, Lima 15000, PeruDue to SARS-CoV-2 pandemic, higher education institutions are challenged to continue providing quality teaching, consulting, and research production through virtual education environments. In this context, a large volume of data is being generated, and technologies such as big data analytics are needed to create opportunities for open innovation by obtaining valuable knowledge. The purpose of this paper is to investigate the factors that influence the adoption of big data analytics and evaluate the relationship it has with performance and knowledge management, taking into consideration that this technology is in its initial stages and that previous research has provided varied results depending on the sector in focus. To address these challenges, a theoretical framework is developed to empirically test the relationship of these variables; 265 members of universities in Latin America were surveyed, and structural equation modeling is used. The findings identify compatibility, an adequate organizational data environment, and external support as factors required to adopt big data analytics, and their positive relationship is tested with knowledge management processes and organizational performance. This study provides practical guidance for decision-makers involved in or in charge of defining the implementation strategy of big data analytics in higher education institutions.https://www.mdpi.com/2199-8531/7/4/221big data analyticsknowledge management processesorganizational performancehigher education institutionsdynamics capabilities |
| spellingShingle | Giulio Franz Marchena Sekli Iván De La Vega Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management Journal of Open Innovation: Technology, Market and Complexity big data analytics knowledge management processes organizational performance higher education institutions dynamics capabilities |
| title | Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management |
| title_full | Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management |
| title_fullStr | Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management |
| title_full_unstemmed | Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management |
| title_short | Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management |
| title_sort | adoption of big data analytics and its impact on organizational performance in higher education mediated by knowledge management |
| topic | big data analytics knowledge management processes organizational performance higher education institutions dynamics capabilities |
| url | https://www.mdpi.com/2199-8531/7/4/221 |
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