An Overview of Big Data for Growth in SMEs

Abstract Potentials and promises of Big Data are significant for SMEs. Big Data can nurture alliance in SMEs by creating real-time solutions to challenges in every industry. This can be achieved by utilizing the openness for decision-making. SMEs are specifically selected within context for two main reasons: a) A small change in SMEs can have larger macro level effect due to their overall position in the economy; b) They have the advantage and flexibility for quicker adaptation to changes towards efficiency. The Big Data context, however, still have significant contentious issues as; storage, capabilities of the companies in terms of processing and generating sensible information from it, and last but not least, security and privacy. This article is aimed to propose grounds for future Big Data research for SMEs by examining main potentials and threats that have to be addressed. Finally, we recommend potential practices that will help SMEs and researchers for capturing the full potential of Big Data.

[1]  Benjamin W. Wah,et al.  Significance and Challenges of Big Data Research , 2015, Big Data Res..

[2]  Shanlin Yang,et al.  Big data driven smart energy management: From big data to big insights , 2016 .

[3]  D. Boyd,et al.  CRITICAL QUESTIONS FOR BIG DATA , 2012 .

[4]  Peter A. Chow-White,et al.  An empirical study of the rise of big data in business scholarship , 2016, Int. J. Inf. Manag..

[5]  Elena Ferrari,et al.  Privacy Aware Access Control for Big Data: A Research Roadmap , 2015, Big Data Res..

[6]  Fernando Almeida,et al.  The main challenges and issues of big data management , 2013 .

[7]  Deborah Cox,et al.  Annual Report on European SMEs 2014 / 2015 SMEs start hiring again SME PERFORMANCE REVIEW 2014/2015 , 2015 .

[8]  Brychan Thomas,et al.  Are UK SMEs with active web sites more likely to achieve both innovation and growth , 2013 .

[9]  Michael A. Abebe Electronic commerce adoption, entrepreneurial orientation and small- and medium-sized enterprise (SME) performance , 2014 .

[10]  Veda C. Storey,et al.  Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..

[11]  Reza Biria,et al.  Exploring Interactive and Interactional Metadiscourse Markers in Discussion Sections of Social and Medical Science Articles , 2017 .

[12]  Maite López-Sánchez,et al.  Transforming Big Data into Collective Awareness , 2013, Computer.

[13]  H. V. Jagadish Big Data and Science: Myths and Reality , 2015, Big Data Res..

[14]  Erik Brynjolfsson,et al.  Big data: the management revolution. , 2012, Harvard business review.

[15]  J. Manyika Big data: The next frontier for innovation, competition, and productivity , 2011 .

[16]  J. Alberto Espinosa,et al.  Big Data: Issues and Challenges Moving Forward , 2013, 2013 46th Hawaii International Conference on System Sciences.

[17]  Shahriar Akter,et al.  How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study , 2015 .

[18]  Ganesh Chandra Deka,et al.  Handbook of Research on Cloud Infrastructures for Big Data Analytics , 2014 .

[19]  David J. Leinweber,et al.  Stupid Data Miner Tricks , 2007 .