Big data analytics: achievements, challenges, and research trends
Main Article Content
Abstract
Downloads
Article Details
1. Proposal of Policy for Free Access Periodics
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 that allows the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in an institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
Proposal of Policy for Periodic that offer Postponed Free Access
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 [SPECIFY TIME HERE] after the publication, allowing the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
d. They allow some kind of open dissemination. Authors can disseminate their articles in open access, but with specific conditions imposed by the editor that are related to:
Version of the article that can be deposited in the repository:
Pre-print: before being reviewed by pairs.
Post-print: once reviewed by pairs, which can be:
The version of the author that has been accepted for publication.
The editor's version, that is, the article published in the magazine.
At which point the article can be made accessible in an open manner: before it is published in the magazine, immediately afterwards or if a period of seizure is required, which can range from six months to several years.
Where to leave open: on the author's personal web page, only departmental websites, the repository of the institution, the file of the research funding agency, among others.
References
ABBASI, A.; SARKER, S.; CHIANG, R. H. L. (2016) Big Data Research in Information Systems: Toward an Inclusive Research Agenda. Journal of the Association of Information Systems, v. 17, n. 2, p. 1–32.
AVERSA, P.; CABANTOUS, L.; HAEFLIGER, S. (2018) When Decision Support Systems Fail: Insights for Strategic Information Systems from Formula 1. Journal of Strategic Information Systems, v. 27, n. 3, p. 221–236.
BAESENS, B.; BAPNA R.; MARSDEN J. R.; VANTHIENEN, J.; ZHAO J. L. (2016) Transformational Issues of Big Data and Analytics in Networked Business. MIS Quarterly, v. 40, n. 4, p. 807-818.
BREUKER, D.; MATZNER, M; DELFMANN, P.; BECKER, J. (2016) Comprehensible Predictive Models for Business Process. MIS Quarterly, v. 40, n. 4, p. 1009-1034.
BRYNJOLFSSON, E.; GEVA, T.; REICHMAN, S. (2016) Crowd-Squared: Amplifying the Predictive Power of Search Trend Data. MIS Quarterly, v. 40, n. 4, p. 941-961.
CHATLA, S. B.; SHMUELI, G. (2017) An Extensive Examination of Regression Models with a Binary Outcome Variable. Journal of the Association for Information Systems, v. 18, n. 4 p. 340–371.
CHAU, M.; XU, J. (2012). Business Intelligence in Blogs: Understanding Consumer Interactions and Communities. MIS Quarterly, v. 36, n. 4, p. 1189-1216.
CHEN, M.; WANG, P. (2018) A Roadmap to Determine the Important Factors of the House Value: A case study by using actual price registration data of Taipei housing transactions. Independent Journal of Management and Production, v. 9, n. 1, p. 245-261.
CHEN, D. Q.; PRESTON, D. S.; SWINK, M. (2015) How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management. Journal of Management Information Systems, v. 32, n. 4, p. 4–39.
CHEN, H.; CHIANG; R. H.; STOREY, V. C. (2012) Business Intelligence and Analytics: From Big Data to Big Impact. Journal of Management Information Systems Quarterly, v. 36, n. 4, p. 1165-1188.
CLARKE, R. (2016) Big Data, Big Risks. Information Systems Journal, v. 26, n. 1, p. 77–90.
CONSTANTIOU, I. D.; KALLINIKOS, J. (2015) New Games, New Rules: Big Data and the Changing Context of Strategy. Journal of Information Technology, v. 30, n. 1, p. 44–57.
DENG, S.; HUANG, Z.; SINHA, A. P.; ZHAO, H. (2018) The Interaction Between Microblog Sentiment and Stock Returns: An Empirical Examination. MIS Quarterly, v. 42, n. 3, p. 895–918.
GALLIERS, R. D.; NEWEL, S.; SHANKS, G.; TOPI, H. (2017) Datification and its Human, Organizational and Societal Effects: The Strategic Opportunities and Challenges of Algorithmic Decision-Making. Journal of Strategic Information Systems, v. 26, n. 3, p. 185–190.
GROVER, V.; CHIANG, R. H. L.; LIANG, T.; ZHANG, D. (2018) Creating Strategic Business Value from Big Data Analytics: a research Framework. Journal of Management Information Systems, v. 35, n. 2, p. 388–423.
GUNTHER, W.; MEHRIZI., M.; HUYSMAN, M.; FELDBERG, F. (2017) Debating Big Data: A Literature Review on Realizing Value from Big Data. Journal of Strategic Information Systems, v. 26, n. 3, p. 191–209.
GUO, X.; WEI, Q.; CHEN, G.; ZHANG, J.; QIAO D. (2017) Extracting Representative Information on Intra-Organizational Blogging Platforms. MIS Quarterly, v. 41, n. 4, p. 1105-1127.
HAN, S.; PARK, S.; OH, W. (2016) Mobile App Analytics: A Multiple Discrete-Continuous Choice Framework. MIS Quarterly, v. 40, n. 4, p. 983-1008, 2016.
KELLY, S.; NOONAN, C. (2017) The doing of Datafication (and What this Doing Does). Journal of the Association for Information Systems, v. 18, n.12, p. 872–899.
KETTER, W.; PETERS, M.; COLLINS, J.; GUPTA, A. (2016) Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data Analytics. MIS Quarterly, v. 40, n. 4, p. 1057–1080.
KITCHENS, B.; DOBOLYI, D.; LI, J.; ABBASI, A. (2018) Advanced Customer Analytics: Strategic Value Through Integration of Relationship-Oriented Big Data. Journal of Management Information Systems, v. 35, n. 2, p. 540–574.
LASH, M. T.; ZHAO, K. (2016) Early Predictions of Movie Success: The Who, What, and When of Profitability. Journal of Management Information Systems, v. 33, n. 3, p. 874–903.
LEHRER, C.; WIENEKE, A; BROCKE, J. V.; JUNG, R; SEIDEL, S. (2018) How Big Data Analytics Enables Service Innovation: Materiality, Affordance, and the Individualization of Service. Journal of Management Information Systems, v. 35, n. 2, p. 424–460.
LI, W.; CHEN, H.; NUNAMAKER, J. F. (2016) Identifying and Profiling Key Sellers in Cyber Carding Community: AZSecure Text Mining System. Journal of Management Information Systems, v. 33, n. 4, p. 1059–1086.
LI, T.; VAN DALEN, J.; VAN REES, P. J. (2018) More than just noise? Examining the information content of stock microblogs on financial markets. Journal of Information Technology, v. 33, n. 1, p. 50–69.
LOEBBECKE, C.; PICOT, A. (2015) Reflections on Societal and Business Model Transformation Arising from Digitization and Big Data Analytics: a research agenda. Journal of Strategic Information Systems, v. 24, n. 3, p. 149–157.
LOWRY, P. B.; DINEV, T.; WILLISON, R. (2017) Why Security and Privacy Research Lies at the Center of the Information Systems (IS) Artefact: Proposing a Bold Research Agenda. European Journal of Information Systems, v. 26, n. 6, p. 546–563.
LYYTINEN, K.; GROVER, V. (2017) Management Misinformation Systems: A Time to Revisit? Journal of the Association for Information Systems, v. 18, n. 3, p. 1–44.
LUVIZAN, S.; DINIZ, E. (2017) Big Data e o Uso Secundário de Dados: Desafios para a Qualidade de Dados e a Inovação. In: Encontro da Associação Nacional de Pós-Graduação e Pesquisa em Administração, XLI, Sao Paulo, Proceedings. Sao Paulo: ENANPAD, 2018.
MANYIKA, J.; CHUI, M.; BROWN, B.; BUGHIN, J.; DOBBS, R.; ROXBURGH, C.; BYERS, A. H. (2011) Big Data: The Next Frontier for Innovation, Competition, And Productivity. McKinsey Global Institute.
MENON, S.; SARKAR, S. (2016) Privacy and Big Data: Scalable Approaches to Sanitize Large Transactional Databases for Sharing. MIS Quarterly, v. 40, n. 4), p. 963-981.
MCAFEE, A.; BRYNJOLFSSON, E. (2012) Big Data: The Management Revolution. Harvard Business Review, p. 1–9.
MULLER, O.; JUNGLAS, I.; BROCKE., J.; DEBORTOLI, S. (2016) Utilizing Big Data Analytics for Information Systems Research: Challenges, Promises and Guidelines. European Journal of Information Systems, v. 25, n. 4, p. 289–302.
MULLER, O.; FAY, M.; VOM BROCKE, J. (2018) The Effect of Big Data Analytics on Firm Performance: An Econometric Analysis Considering Temporal Dynamics and Industry Characteristics. Journal of Management Information Systems, v. 35, n. 2, p. 488–509.
NUAIMI, E; NEYADI, H.; MOHAMED, N; AL-JAROODI, J. (2015) Applications of big data to smart cities. Journal of Internet Services and Applications, v. 6, n. 25, p. 1–15.
NEWELL, S.; MARABELLI, M. (2015) Strategic Opportunities (and Challenges) of Algorithmic Decision-Making: A Call for Action on the Long-Term Societal Effects of ‘Datification’. Journal of Strategic Information Systems, v. 24, n. 1, p. 3–14.
PARK, S.; HUH, S.; OH, W.; HAN, S.P. (2012) A Social Network-Based Inference Model for Validating Customer Profile Data. MIS Quarterly, v. 36, n. 4, p. 1217–1237.
RAI, A. (2016) Synergies Between Big Data and Theory. MIS Quarterly, v. 40, n. 2, p. iii–ix.
SABOO, A. R.; KUMAR, V.; PARK, I. (2016) Using Big Data to Model Time-Varying Effects for Marketing Resource (Re) Allocation. MIS Quarterly, v. 40, n. 4, p. 911–939.
SHI, Z.; LEE, G.; WHINSTON, A. (2016) Toward a Better Measure of Business Proximity: Topic Modeling for Industry Intelligence. MIS Quarterly, v. 40, n. 4, p. 1035-1056.
TALLON, P.; RAMIREZ, R.; SHORT, J. (2014) The Information Artifact in IT Governance: Toward a Theory of Information Governance. Journal of Management Information Systems, v. 30, n. 3, p. 141–177.
The Economist (2018) Does China’s digital police state have echoes in the West? Special Report on Leaders, May 31st. Acessed in 12/07/2018. <https://www.economist.com/leaders/2018/05/31/does-chinas-digital-police-state-have-echoes-in-the-west>
The New York Times (2019) San Francisco Bans Facial Recognition Technology. Acessed in 10/06/2019.
<https://www.nytimes.com/2019/05/14/us/facial-recognition-ban-san-francisco.html>
WEBSTER, J.; WATSON, R.T. (2002) Analyzing Past to Prepare for Future: Writing Literature Review, MIS Quarterly, v. 26, n. 2, p. xiii—xxiii.
ZHOU, S.; QIAO, Z.; DU, Q.; WANG, G. A.; FAN, W.; YAN, X. (2018) Measuring Customer Agility from Online Reviews Using Big Data Text Analytics. Journal of Management Information Systems, v. 35, n. 2, p. 510–539.
ZUBOFF, S. (2015) Big Other: Surveillance Capitalism and the Prospects of an Information Civilization. Journal of Information Technology, v. 30, p. 75–89.