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Literature Review on Big Data: What Do We Know So Far?
Högskolan i Skövde, Institutionen för handel och företagande. Högskolan i Skövde, Forskningsspecialiseringen Framtidens Företagande. (Knowledge and Innovation Management (KIM))ORCID-id: 0000-0001-8469-2427
Universidade Federal de Santa Catarina, Brazil. (Knowledge and Innovation Management (KIM))
(Knowledge and Innovation Management (KIM))
2018 (engelsk)Inngår i: Big Data in the Arts and Humanities: Theory and Practice / [ed] Giovanni Schiuma, Daniela Carlucci, CRC Press, 2018, s. 3-14Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

The term “big data” has been discussed often in recent years so it is high time for us to determine the current state of knowledge on big data and the benefits and challenges that its applications may bring to individuals, companies, or the society at large. We argue that such work will allow for greater dissemination of results across both academic research and practitioners. The determination of the body of knowledge will help to systematize research, whereas practitioners will get insights into the pros and cons of using big data, which in turn can provide the basis for the improved use of big data or its first-time application, respectively. Based on a systematic review consisting of 87 papers, this chapter proposes a number of future research avenues that can be used to organize the study of big data. The future avenues and the determination of the current body of knowledge about big data are considered the main contributions of this chapter. Next, we briefly discuss the term “big data.” Then the insights into the methodology are provided. After that, the results are presented. This is followed by a discussion about the possible future research opportunities. The chapter terminates with final remarks and conclusions.

sted, utgiver, år, opplag, sider
CRC Press, 2018. s. 3-14
Emneord [en]
big data, application possibilities, challenges of big data, implications of big data, systematic literature review
HSV kategori
Forskningsprogram
Knowledge and Innovation Management (KIM)
Identifikatorer
URN: urn:nbn:se:his:diva-15110ISBN: 978-1-4987-6585-5 (tryckt)OAI: oai:DiVA.org:his-15110DiVA, id: diva2:1202810
Tilgjengelig fra: 2018-05-01 Laget: 2018-05-01 Sist oppdatert: 2019-09-30bibliografisk kontrollert

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