Big data: From beginning to future

Yaqoob, Ibrar; Hashem, Mohamed; Gani, Abdullah; Mokhtar, Salimah Binti; Ahmed, Ejaz; Anuar, Nor Badrul; Vasilakos, Athanasios V.

doi:10.1016/j.ijinfomgt.2016.07.009

Cited by 345 publications

(192 citation statements)

References 75 publications

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“…Big data analytic techniques are used in analyzing BD. They include data mining, web mining, machine learning, social network analysis, visualization methods [3].…”

Section: Big Data Overviewmentioning

confidence: 99%

Big Data in Business

Adebo¹

2018

IJARCSSE

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Business has always desired to derive insights from big data in order to make better, smarter, data-driven decisions. Big data refers to data that are generated at high volume, high velocity, high variety, high veracity, and high value. It has fundamentally changed the way business companies operate, make decisions, and compete. It can create value for businesses. This paper provides a brief introduction to how big data is being used in businesses.

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“…Big data analytic techniques are used in analyzing BD. They include data mining, web mining, machine learning, social network analysis, visualization methods [3].…”

Section: Big Data Overviewmentioning

confidence: 99%

Big Data in Business

Adebo¹

2018

IJARCSSE

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“…The online interventions previously described generate a secondary (but not for this reason useless) extremely large amount of data regarding different aspects of the people under online treatment, from personal preferences used for marketing purposes to the confirmation of the presence of symptoms or diseases that could be altogether glued as jigsaw pieces [50].…”

Section: Computational Techniques For the Analysis Of Web-basedmentioning

confidence: 99%

A Revision of Preventive Web-based Psychotherapies in Subjects at Risk of Mental Disorders

Sánchez-Gutiérrez¹,

Barbeito²,

Calvo³

2017

IJIMAI

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“…With the growing importance of big data in recent years (Yaqoob et al, ), an increasing number of organizations have been adopting big data–enabled emerging technologies. The use of big data analytics (BDA) (Bose, ; Côrte‐Real, Oliveira, & Ruivo, ; Wamba, Akter, Edwards, Chopin, & Gnanzou, ) has become a trending practice for organizations that supports their decision‐making by deriving valuable insights from big data.…”

Section: Introductionmentioning

confidence: 99%

Deliberate storytelling in big data analytics adoption

Boldosova

2019

Information Systems Journal

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The emergence of big data analytics (BDA) has posed opportunities as well as multiple challenges to business practitioners, who have called for research on the behavioural factors underlying BDA adoption at the individual level. The purpose of this study is to extend the information systems (IS) research on storytelling and to explore the role and characteristics of deliberate storytelling in individual‐level BDA adoption. This case study used the grounded theory approach to extract qualitative data from 24 interviews, field notes, and documentary data. The explicit contributions of the study to the literature include (a) increasing our understanding of the facilitating role of deliberate storytelling in individual‐level BDA adoption, (b) identifying four deliberate storytelling patterns and seven underlying corporate stories disseminated by organizations to influence individual behaviour, and (c) defining the core characteristics of effective deliberate storytelling. This study has multiple implications for business practitioners and demonstrates how deliberate storytelling can be used as a facilitating mechanism in daily business practice.

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Big data: From beginning to future

Cited by 345 publications

References 75 publications

Big Data in Business

Big Data in Business

A Revision of Preventive Web-based Psychotherapies in Subjects at Risk of Mental Disorders

Deliberate storytelling in big data analytics adoption

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