INFORMATION SCIENCE AS A SUPPORTING SCIENTIFIC FIELD TO DIGITAL TRANSFORMATION COMPREHENSION
an observation regarding data technologies and artificial intelligence
Keywords:
Data Science, Information Science, Artificial Intelligence, Digital TransformationAbstract
This study proposes the discussion about how Information Science (IS) can offer support to other scientific fields to improve Digital Transformation (DT) comprehension. As new technologies emerge every day and are impulsively adopted by organizations to solve problems regarding information, these implementations evolve without a needed scientific base. As the IS is an open and contributive field to promote a productive dialog with other environments, this article focus on conditions, perspectives and potential results about the DT comprehension, with a special focus over the innovative cases of the proposition of the Data Science field and the actual status of Artificial Intelligence. This approach is done evaluating the methodological principles of multidisciplinarity, interdisciplinarity and transdisciplinarity, all successfully practiced by IS scholars and researchers for decades, with significant results, enabling expectations to improve the understanding and domain of Digital Transformation.
References
ALVARGONZÁLEZ, D.
2011 Multidisciplinarity, interdisciplinarity, transdisciplinarity, and the sciences. International Studies in the Philosophy of Science. [Em linha]. 25 (2011) 387-403. Disponível em:
https://doi.org/10.1080/02698595.2011.623366.
BOGDANOVA, M.
2020 Cognitive science: From multidisciplinarity to interdisciplinarity. International Journal of Cognitive Research in Science, Engineering and Education. [Em linha]. 5:2 (2020) 145-150. Disponível em: https://doi.org/10.5937/IJCRSEE1702145B.
BORKO, O. H.
1968 Information Science: what is it? American Documentation. 19:1 (Jan.1968) 3-5.
BUCKLAND, M.
1995 Information and Information Systems. New York: Ed. Praeger, 1995.
CABRAL NETO, O. V.
2011 Uma Visão holística da inteligência competitiva para a construção de uma teoria. São Paulo, 2011. Dissertação de Mestrado em Engenharia de Produção - Escola Politécnica, Universidade de São Paulo.
CAO, L.; ZHANG, C.; LIU, J.
2006 Ontology-based integration of business intelligence. Web Intelligence and Agent Systems: An international journal. 4:3 (2006) 313-325.
CHOI, B. C.; PAK, A. W.
2006 Multidisciplinarity, interdisciplinarity, and transdisciplinarity in health research, services, education and policy: Promotors, barriers, and strategies of enhancement. Clinical and Investigative Medicine. [Em linha]. 30:6 (2006) E224-E232. Disponível em: https://doi.org/10.25011/cim.v30i6.2950.
DOSS, S.
2020 Digital disruption through Data Science: Embracing digital innovation in insurance business. BimaQuest: The Journal of Insurance & Management. [Em linha]. 20:3 (2020)16-33. Disponível em:
https://search.ebscohost.com/login.aspx?direct=true&db=bsu&AN=146842539&lang=pt-br&site=ehost-live.
DUTRA, D.
2025 Como as gerações Y e Z estão contribuindo com a transformação digital e cultural nas organizações. MIT Technology Review. [Em linha]. (20 fev. 2025). Disponível em https://mittechreview.com.br/geracoes-y-z-transformacao-digital/?utm_campaign=tr_the_download
_86&utm_medium=email&utm_source=RD+Station.
FLORES, J. F.; ROCHA FILHO, J. B. da
2016 Transdisciplinaridade e Educação. RevistAleph. [Em linha]. 26 (2016). Disponível em: https://doi.org/10.22409/revistaleph.v0i26.39153.
FREIRE, G. H.
2006 Ciência da Informação: Temática, história e fundamentos. Perspectivas em Ciência da informação. [Em linha]. 11:1 (abr. 2006). Disponível em: https://doi.org/10.1590/S1413-99362006000100002.
JAMIL, G. L.
2024 When things changed. AI in our lives forever. In GEADA, N.; JAMIL, G. L. - Perspectives for Artificial Intelligence in times of turbulence: Theoretical background and applications. Hershey: IGI Global, 2024, p. 13-33. DOI:10.4018/978-1-6684-9814-9.ch002.
JAMIL, G. L.
2023a Digital Transformation from data science: a source of agility. In GEADA, N.; JAMIL, G. L. - Enhancing business communications and collaborations through data science applications. Hershey, USA: IGI Global, 2023, p. 83-105. DOI: 10.4018/978-1-6684-6786-2.ch005.
JAMIL, G. L.
2023b A Scientific field in formation: Contributing to define Data Science as a new context of scientific research. In GEADA, N.; JAMIL, G. L. - Enhancing business communications and collaboration through Data Science applications. Hershey: IGI Global, 2023, p 60-82. DOI:10.4018/978-1-6684-6786-2.ch005.
JAMIL, G. L.
2005 Gestão da Informação e do conhecimento em empresas brasileiras: estudo de múltiplos casos. Belo Horizonte: Ed. Con/Art, 2005.
JAMIL, G. L.; SILVA, A. R.
2021 Emerging technologies in a modern competitive scenario: Understanding the panorama for security and privacy requirements. In ANUNCIAÇÃO, P. F.; PESSOA, C. R. M.; JAMIL, G. L. - Digital Transformation and challenges for data security and privacy. Hershey: IGI Global, 2021, p. 1-16. DOI: 10.4018/978-1-7998-4201-9.ch001.
LACERDA, B.; JAMIL, G. L.
2021 Digital Transformation for businesses: Adapt or die!: Reflections on how to rethink your business in the Digital Transformation context. In ANUNCIAÇÃO, P. F.; PESSOA, C. R. M.; JAMIL, G. L. - Digital Transformation and challenges for data security and privacy. Hershey: IGI Global, 2021, p. 252-268. DOI:10.4018/978-1-7998-4201-9.ch001.
LEAD DEV COMPANY
2025 Five mistakes to avoid when choosing a software developer analytics tool. [Em linha]. 2025. [Consult. 13 jan. 2025]. Disponível em:
https://leaddev.com/technical-direction/5-mistakes-avoid-when-choosing-software-developer-analytics-tool.
LOUREIRO, F.; GUIMARÃES, F. S.
2019 Multidisciplinarity and interdisciplinarity in international relations: teaching History and theory of international relations. Mural Internacional. 10 (2019). DOI: 10.12957/rmi.2019.37636.
MCKINSEY
2023 An Executive guide to machine learning. [Em linha]. 2023. [Consult. . 13 jan. 2025]. Disponível em https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/an-executives-guide-to-machine-learning.
MITTELSTRASS, J.
2011 On transdisciplinarity. Trames: Journal of the Humanities and Social Sciences. 2011. 15. 10.3176/tr.2011.4.01.
MUCCI, T.
2025 The History of artificial intelligence. [Em linha]. [S. l.]: IBM International, 2025. [Consult. 3 fev. 2025]. Disponível em:
https://www.ibm.com/think/topics/history-of-artificial-intelligence.
NICOLESCU, B.
2014 Methodology of transdisciplinarity. World Futures. [Em linha]. 70:3-4 (2014) 186-199. Disponível em:
https://doi.org/10.1080/02604027.2014.934631.
NICOLESCU, B.
2000 Transdisciplinarity and complexity: Levels of reality as source of indeterminacy. [Em linha]. 2000. [Consult. abr. 2021]. Disponível em: https://ciret-transdisciplinarity.org/bulletin/b15c4.php.
NICOLESCU, B.; MORIN, E.; FREITAS, L.
1996 The Charter of Transdisciplinarity. [Em linha]. 1996. [Consult. ago, 2021]. Disponível em: https://inters.org/Freitas-Morin-Nicolescu-Transdisciplinarity.
NIELSEN IQ
2024 Nielsen IQ: Spendz - GenZ changes everything. [Em linha]. 2024. [Consult. out. 2024]. Disponível em https://nielseniq.com/global/en/landing-page/spend-z/.
NOLL-MINOR, M.
2019 Conservation-restoration and conservation science: The challenge of transdisciplinarity. Protection of Cultural Heritage. ]Em linha]. 8 (2019) 223-238. Disponível em: https://doi.org/10.35784/odk.1088.
O’BRIEN, J.; MARAKAS, G.
2008 Management Information Systems. Irwin: Mc Graw Hill, 2008.
RASCÃO, J. P.; JAMIL, G. L.; MARQUES, M. B.
2021 Debate on Inter-transdisciplinarity of Information Science: From theory to practice. Chisinau: Lambert, 2021.
ROGERS, D. L.
2017 The Digital Transformation playbook: rethink your business for the digital age. New York: Columbia University Press, 2017.
RUSSEL, S.; NORVIG, P.
2009 Artificial intelligence: A modern approach. 3rd ed. Upper Saddle River [etc.]: Prentice Hall, 2009.
SARACEVIC, T.
2009 Information science. In Encyclopedia of Library and Information Science. Ed. Marcia J. Bates and Mary Niles Maack. New York: Taylor & Francis, 2009, p. 2.570-2.586.
SCHWAB, K.
2018 Shaping the fourth industrial revolution: Excerpts from the World Economic Forum. [Em linha]. Switzerland, 2018. [Consult. jan. 2025]. Disponível em: https://www.weforum.org/about/the-fourth-industrial-revolution-by-klaus-schwab/.
STAIR, R.; REYNOLDS, G.
2009 Principles of information systems: Course technology. {S. l.]: Cengage Learning, 2009.
STOLTERMAN, E.; FORS, A.
2004 Information technology and the good life. In Information systems research relevant theory and informed practice : 20th years retrospective: relevant theory and informed practice: Looking Forward from a 20-Year Perspective on IS Research. Ed. Bonnie Kaplan et al. [Em linha]. London: Kluwer Academic Publishers, 2004, p. 687-692. Disponível em:
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-33145.
SULYMAN, S. A.; ADEYEFA, S. A.; AMZAT, B. O.
2021 The Interdisciplinary, multidisciplinary and transdisciplinary natures of Library and Information Science: An analysis. Library Philosophy and Practice. [Em linha]. 6.044 (2021). [Consult. fev. 2025. Disponível em:
https://digitalcommons.unl.edu/libphilprac/6044.
TADEU, H. [et al.]
2019 Digital Transformation: Digital maturity applied to study Brazilian perspective for industry 4.0. In Best Practices in Manufacturing Processes. [Em linha]. [S. l.]: Springer International Publishing, 2019. Disponível em:
https://doi.org/10.1007/978-3-319-99190-0_1.
TAYLOR, R. S.
1966 Professional aspects of Information Science and Technology. Annual Review of Information Science and Technology. 1 (1966).
TOŠ, I.
2021 Interdisciplinarity and transdisciplinarity: Problems and guidelines. Collegium antropologicum. 45:1 (2021) 67-73. DOI: 10.5671/ca.45.1.8.
TUOMI, I.
2000 Data is more than knowledge: Implications of the reversed knowledge hierarchy for knowledge management and organizational memory. Journal of Management Systems. 16:3 (Winter 2000) 103-117.
TURBAN, E.; MCLEAN, E.; WETHERBEE, J.
2002 Information technology for management: transforming business in the digital economy. 3rd ed. Hoboken: John Wiley and Sons, 2002.
TURBAN, E., RAINER JR., R. K.; POTTER, R. E.
2007 Introduction to information systems. Hoboken: John Wiley and Sons, 2007.
WERSIG, G.
1992 Information Science: The study of postmodern knowledge usage. Information Processing and Management. 29:2 (1992) 229-239.
VICARIO G.; COLEMAN, S.
2020 A Review of Data Science in business and industry and a future view. Applied Stochastic Models in Business & Industry. 36:1 (2020) 6-18. DOI: 10.1002/asmb.2488
WESTERMAN, G. [et al.]
2011 Digital Transformation: A roadmap for billion-dollar organizations. [Em linha]. [S. l.]: MIT Centre for Digital Business and Capgemini Consulting. 2011. [Consult. jan. 2025]. Disponível em:
https://www.capgemini.com/wp-content/uploads/2017/07/Digital_Transformation__A_Road-Map_for_Billion-Dollar_Organizations.pdf.
ZAMAN, G.; GOSCHIN, Z.
2010 Multidisciplinarity, interdisciplinarity and transdisciplinarity: Theoretical approaches and implications for the strategy of post-crisis sustainable development. Theoretical and Applied Economics. 0:12(553) (dec. 2010) 5-20.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Páginas a&b
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors are authorised to sign additional contracts separately for non-exclusive distribution of the version of the work published in this journal (e.g. publication in an institutional repository or as a book chapter), with acknowledgement of authorship and initial publication in this journal.
