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

dc.creatorCamilo, Guerrero
dc.creatorAlejandra, Hernández Acosta
dc.creatorJavier E, Sierra
dc.date2022-04-06T20:52:15Z
dc.date2022-04-06T20:52:15Z
dc.date2019-12
dc.date.accessioned2024-06-25T20:58:53Z
dc.date.available2024-06-25T20:58:53Z
dc.identifierCamilo 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.
dc.identifier1816-949X
dc.identifierhttps://repositorio.cecar.edu.co/handle/cecar/2239
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9507447
dc.descriptionBig 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.format8 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.relation1210
dc.relation4
dc.relation1203
dc.relation14
dc.relationhttps://www.researchgate.net/publication/338279514_Creation_of_Value_Through_Big_Data_in_Higher_Education_Institutions_A_Survey
dc.relationJournal of Engineering and Applied Sciences
dc.relationAdamko, 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.
dc.relationAgarwal, 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.
dc.relationAkter, 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.
dc.relationAnand, 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.
dc.relationAnand, 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.
dc.relationAnand, 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.
dc.relationBarcellos, 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.
dc.relationBarnes, T.J., 2013. Big data, little history. Dialogues Hum. Geogr., 3: 297-302.
dc.relationBarney, J.B., 1991. Firms resources and sustained competitive advantage. J. Manage., 17: 99-120.
dc.relationBerman, 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.
dc.relationGantz, J. and D. Reinsel, 2011. Extracting value from chaos. IDC. Iview, 1142: 1-12.
dc.relationHashem, 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.
dc.relationKhan, M.S., M.A. Kausar and S.S. Nawaz, 2018. Bigdata analytics techniques to obtain valuable knowledge. Indian J. Sci. Technol., 11: 1-14.
dc.relationKohli, 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.
dc.relationLaurila, 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/192489
dc.relationLoebbecke, 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.
dc.relationO'Leary, D.E., 2013. Artificial intelligence and big data. IEEE. Intell. Syst., 2: 96-99
dc.relationPaul, 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.
dc.relationPiccoli, 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.
dc.relationPorter, M.E., 1980. Competitive Strategy: Techniques for Analysing Industries and Competitors. The Free Press, New York.
dc.relationPuri, G.D. and D. Haritha, 2016. Survey big data analytics, applications and privacy concerns. Indian J. Sci. Technol., 9: 1-8.
dc.relationSirmon, 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.
dc.relationTan, 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.
dc.relationTurck, M., 2016. Is big data still a thing?(The 2016 Big Data landscape). FirstMark Capital, New York, USA. http://mattturck.com/big-data-landscape/
dc.relationWang, 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.
dc.relationWindsor, 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.
dc.relationXi, 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.
dc.relationYan, 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.
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0/
dc.rightsAtribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectBig data institutions of higher education
dc.subjectCreation of value
dc.subjectDecision making
dc.subjectInformation
dc.subjectApplication
dc.subjectIbliographic review
dc.titleCreation of Value Through Big Data in Higher Education Institutions: A Survey
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_2df8fbb1
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/coar/version/c_970fb48d4fbd8a85


Este ítem pertenece a la siguiente institución