Big data analytics: achievements, challenges, and research trends

Main Article Content

Andre Coelho Vaz Henriques
Fernando de Souza Meirelles
Maria Alexandra Viegas Cortez da Cunha

Abstract

Big data applications combined with analytical tools foster prediction techniques that impact societal, economic, and political changes. After almost a decade of studies, this paper proposes to identify major debates on big data analytics, presenting its evolution over the past years and identifying its research tendencies. We limited our research to the top eight journals in information systems. Our findings suggest that big data analytics is apparently reaching a plateau, which might be confirmed by publications in the following years. The paper contributes to the current debate on big data by identifying ongoing studies in the research community. In addition, it provides a critical analysis of the field development, from its perceived benefits to its unimagined consequences. Finally, we conclude that other perspectives on big data analytics might include a new wave of studies and that new paths beyond productivity gains can be explored.

Downloads

Download data is not yet available.

Article Details

Section
Articles
Author Biographies

Andre Coelho Vaz Henriques, Fundacao Getulio Vargas

Andre Coelho Vaz Henriques is currently a PhD student in Business Administration at Fundacao Getulio Vargas. He holds a master's degree (2012) and a bachelor's degree (2005) in Administration, both from the Federal University of Rio Grande do Sul. In 2012 he joined the Brazilian Institute of Geography and Statistics, and his research interests include big data analytics, smart cities, and public computing.

Fernando de Souza Meirelles, Fundacao Getulio Vargas

Fernando de Souza Meirelles is a PhD in Business Administration by School of Business Administration of Fundacao Getulio Vargas, holds a master's degree in Engineering Management by Stanford University, and is graduated in mechanical engineering by Maua Engineering School. He is currently an associate professor at School of Business Administration of Fundacao Getulio Vargas. His main areas of interest are: information technology management, applied information technology, planning and strategic alignment, and use of technology in education.

Maria Alexandra Viegas Cortez da Cunha, Fundacao Getulio Vargas

Maria Alexandra Viegas Cortez da Cunha is a PhD in Business Administration by University of Sao Paulo (2000) and holds a master's degree in Business Administration by Fundacao Getulio Vargas (1994). She holds a bachelor's degree in Administration (1987) and computing (1982), both from Federal University of Parana. She is currently an associate professor at the School of Business Administration of Fundacao Getulio Vargas. Her research interests are: smart cities, e-government, public computing, information society, public administration and information technology management.

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.

فروشگاه اینترنتی