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Creation of Value Through Big Data in Higher Education Institutions: A Survey

dc.contributor.authorCamilo, Guerrero
dc.contributor.authorAlejandra, Hernández Acosta
dc.contributor.authorJavier E, Sierra
dc.date.accessioned2022-04-06T20:52:15Z
dc.date.available2022-04-06T20:52:15Z
dc.date.issued2019-12
dc.identifier.citationCamilo Guerrero, Alejandra Hernandez Acosta and Javier E. Sierra, 2019. Creation of Value Through Big Data in Higher Education Institutions: A Survey. Journal of Engineering and Applied Sciences, 14: 1203-1210.spa
dc.identifier.issn1816-949Xspa
dc.identifier.urihttps://repositorio.cecar.edu.co/handle/cecar/2239
dc.description.abstractBig data proposes the analysis of large volumes of information in companies or organizations. An analysis is made to different researches related to the application of big data for the creation of value and in this way, to contribute to decision making, focused on how this contributes to higher education institutions. The objective of the article is to provide information, through a bibliographic review, on how it is possible to create value through big data. The creation of value is the most important feature of big data. In this study we show how the theories and concepts, applied to different organizations and companies can be applied to higher education institutions. The application of the most relevant theories for the generation and creation of value, will allow the institutions of higher education to improve the decision making and to be more efficient in the investment of the resources.
dc.format.extent8 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/spa
dc.titleCreation of Value Through Big Data in Higher Education Institutions: A Survey
dc.typeArtículo de revistaspa
dc.rights.licenseAtribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)spa
dc.relation.citationendpage1210spa
dc.relation.citationissue4spa
dc.relation.citationstartpage1203spa
dc.relation.citationvolume14spa
dc.relation.citeshttps://www.researchgate.net/publication/338279514_Creation_of_Value_Through_Big_Data_in_Higher_Education_Institutions_A_Survey
dc.relation.ispartofjournalJournal of Engineering and Applied Sciencesspa
dc.relation.referencesAdamko, A., 2017. Building Smart University Using Innovative Technology and Architecture. In: Smart Education and Smart E-Learning, Uskov, V., J. Bakken, R. Howlett and L. Jain (Eds.). Springer, Berlin, Germany, ISBN:978-3-319-59453-8, pp: 161-188.spa
dc.relation.referencesAgarwal, R. and V. Dhar, 2014. Editorial big data, data science and analytics: The opportunity and challenge for IS research. Inf. Syst. Res., 25: 443-666.spa
dc.relation.referencesAkter, S. and S.F. Wamba, 2016. Big data analytics in E-commerce: A systematic review and agenda for future research. Electron. Markets, 26: 173-194.spa
dc.relation.referencesAnand, A., F.S.Wamba and R. Sharma, 2013. The effects of firm IT capabilities on firm performance: The mediating effects of process improvement. Proceedings of the 24th Australasian Conference on Information Systems, December 4-6, 2013, RMIT University, Melbourne, Australia, pp: 1-10.spa
dc.relation.referencesAnand, A., R. Sharma and R. Kohli, 2013. Routines, reconfiguration and the contribution of business analytics to organisational performance. Proceedings of the 24thAustralasian Conference on Information Systems, December 4-6, 2013, RMIT University, Melbourne, Australia, pp: 1-10.spa
dc.relation.referencesAnand, A., R. Sharma and T. Coltman, 2016. Realizing value from business analytics platforms: The effects of managerial search and agility of resource allocation processes. Proceedings of the 37th International Conference on Information Systems (ICIS), December 11-14, 2016, Association for Information Systems, Atlanta, Georgia, USA., pp: 1-12.spa
dc.relation.referencesBarcellos, L.I., E.E.I. Barcellos and G. Botura, 2017. Analysis of communicational design and information on university websites. Proceedings of the International Conference on Applied Human Factors and Ergonomics, July 17-21, 2017, Springer, Berling, Germany, ISBN:978-3-319-60476-3, pp: 64-72.spa
dc.relation.referencesBarnes, T.J., 2013. Big data, little history. Dialogues Hum. Geogr., 3: 297-302.spa
dc.relation.referencesBarney, J.B., 1991. Firms resources and sustained competitive advantage. J. Manage., 17: 99-120.spa
dc.relation.referencesBerman, J.J. and K. Morgan, 2013. Principles of Big Data: Preparing, Sharing and Analyzing Complex Information. Morgan Kaufmann, Burlington, Massachusetts, USA., ISBN:9780124045767, Pages: 261.spa
dc.relation.referencesGantz, J. and D. Reinsel, 2011. Extracting value from chaos. IDC. Iview, 1142: 1-12.spa
dc.relation.referencesHashem, I.A.T., I. Yaqoob, N.B. Anuar, S. Mokhtar and A. Gani et al., 2015. The rise of big data on cloud computing: Review and open research issues. Inf. Syst., 47: 98-115.spa
dc.relation.referencesKhan, M.S., M.A. Kausar and S.S. Nawaz, 2018. Bigdata analytics techniques to obtain valuable knowledge. Indian J. Sci. Technol., 11: 1-14.spa
dc.relation.referencesKohli, R. and V. Grover, 2008. Business value of IT: An essay on expanding research directions to keep up with the times. J. Assoc. Inf. Syst., 9: 23-39.spa
dc.relation.referencesLaurila, J.K., D. Gatica-Perez, I. Aad, O. Bornet and T.M.T. Do et al., 2012. The mobile data challenge: Big data for mobile computing research. Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland. https://infoscience.epfl.ch/record/192489spa
dc.relation.referencesLoebbecke, C. and A. Picot, 2015. Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda. J. Strategic Inf. Syst., 24: 149-157.spa
dc.relation.referencesO'Leary, D.E., 2013. Artificial intelligence and big data. IEEE. Intell. Syst., 2: 96-99spa
dc.relation.referencesPaul, P.K. and M.K. Ghose, 2018. A Novel Educational Proposal and Strategies toward Promoting Cloud Computing, Big Data and Human-Computer Interaction in Engineering Colleges and Universities. In: Advances in Smart Grid and Renewable Energy Proceedings of ETAEERE-2016, SenGupta, S., A. Zobaa, K. Sherpa and A. Bhoi (Eds.). Springer, Berlin, Germany, ISBN:978-981-10-4285-0, pp: 93-102.spa
dc.relation.referencesPiccoli, G. and B. Ives, 2005. Review IT-dependent strategic initiatives and sustained competitive advantage: A review and synthesis of the literature. MIS. Q., 29: 747-776.spa
dc.relation.referencesPorter, M.E., 1980. Competitive Strategy: Techniques for Analysing Industries and Competitors. The Free Press, New York.spa
dc.relation.referencesPuri, G.D. and D. Haritha, 2016. Survey big data analytics, applications and privacy concerns. Indian J. Sci. Technol., 9: 1-8.spa
dc.relation.referencesSirmon, D.G., M.A. Hitt, R.D. Ireland and B.A. Gilbert, 2011. Resource orchestration to create competitive advantage breadth, depth and life cycle effects. J. Manage., 37: 1390-1412.spa
dc.relation.referencesTan, Z., J. Wang, Y. Peng and F. Ma, 2017. The admissions big data mining research based on real data from a normal university. Proceedings of the International Conference on Chinese Intelligent Systems, October 14-15, 2017, Springer, Berlin, Germany, ISBN: 978-981-10-6495-1, pp: 531-542.spa
dc.relation.referencesTurck, M., 2016. Is big data still a thing?(The 2016 Big Data landscape). FirstMark Capital, New York, USA. http://mattturck.com/big-data-landscape/spa
dc.relation.referencesWang, X., L.T. Yang, H. Liu and M.J. Deen, 2018. A big data-as-a-service framework: State-of-the-art and perspectives. IEEE. Trans. Big Data, 4: 325-340.spa
dc.relation.referencesWindsor, D., 2017. Value Creation Theory: Literature Review and Theory Assessment. In: Stakeholder Management, David, M.W. and J. Weber (Eds.). Emerald Group Publishing, Bingley, UK., pp: 75-100.spa
dc.relation.referencesXi, X.Q., 2017. A method to evaluate the research direction of university. Proceedings of the Euro-China Conference on Intelligent Data Analysis and Applications, October 9-11, 2017, Springer, Berlin, Germany, ISBN:978-3-319-68526-7, pp: 157-166.spa
dc.relation.referencesYan, H. and H. Hu, 2016. A study on association algorithm of smart campus mining platform based on big data. Proceedings of the 2016 International Conference on Intelligent Transportation, Big Data and Smart City (ICITBS), December 17-18, 2016, IEEE, Changsha, China, ISBN:978-1-5090-6061-0, pp: 172-175.spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.subject.proposalBig data institutions of higher education
dc.subject.proposalCreation of value
dc.subject.proposalDecision making
dc.subject.proposalInformation
dc.subject.proposalApplication
dc.subject.proposalIbliographic review
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