• Journal of Electronic Science and Technology
  • Vol. 22, Issue 1, 100229 (2024)
Matthew Willetts* and Anthony S. Atkins
Author Affiliations
  • Faculty of Digital, Technology, Innovation, and Business, Staffordshire University, Stoke-on-Trent, ST4 2DE, United Kingdom
  • show less
    DOI: 10.1016/j.jnlest.2023.100229 Cite this Article
    Matthew Willetts, Anthony S. Atkins. Evaluation of a software positioning tool to support SMEs in adoption of big data analytics[J]. Journal of Electronic Science and Technology, 2024, 22(1): 100229 Copy Citation Text show less
    References

    [1] The Wld Bank, Small medium enterprises (SMEs) finance [Online]. Available, https:www.wldbank.gentopicsmefinance, September 2022.

    [2] M. Ward, G. Hutton, Business statistics [Online]. Available, https:commonslibrary.parliament.ukresearchbriefingssn06152, January 2023.

    [3] ganisation f Economic Cooperation Development, Financing SMEs entrepreneurs 2022: An OECD sceboard [Online]. Available, https:www.oecdilibrary.gsites8ae4e97denindex.htmlite=contentcomponent8ae4e97den, September 2022.

    [4] European Commission, Entrepreneurship small mediumsized enterprises (SMEs)| Internal market, industry, entrepreneurship SMEs [Online]. Available, https:ec.europa.eugrowthsmesen, May 2021.

    [5] M. Bianchini, V. Michalkova, OECD SME entrepreneurship papers, No. 15 data analytics in SMEs: Trends policies [Online]. Available, https:doi.g10.1787f493861een, June 2019.

    [6] M. Willetts, A.S. Atkins, C. Stanier, Quantitative study on barriers of adopting big data analytics f UK Eire SMEs, in: N. Sharma, A. Chakrabarti, V.E. Balas, A.M. Bruckstein (Eds.), Data Management, Analytics Innovation, Springer, Singape, 2022, pp. 349–373.

    [7] Improving new product development using big data: A case study of an electronics company. R&D Manage, 47, 570-582(2017).

    [8] Editial Team, How Amazon used big data to rule Ecommerce [Online]. Available, https:insidebigdata.com20191130howamazonusedbigdatatoruleecommerce, December 2019.

    [9] M. Willetts, A.S. Atkins, C. Stanier, A strategic big data analytics framewk to provide opptunities f SMEs, in: Proc. of 14th Intl. Technology, Education Development Conf., Valencia, 2020, pp. 3033–3042.

    [10] Software positioning tool to support SMEs in adoption of big data analytics using a case study application. International Journal of Software Engineering & Computer System, 9, 46-58(2023).

    [11] M. Willetts, A.S. Atkins, C. Stanier, A teaching learning case study on data mining using association rules f SMEs, in: Proc. of 16th Intl. Technology, Education Development Conf., Valencia, 2022, pp. 1401–1410.

    [12] M. Willetts, A.S. Atkins, C. Stanier, Teaching learning case study on social media analytics f small mediumsized enterprises, in: Proc. of 14th Annual Intl. Conf. of Education, Research Innovation, Seville, 2021, pp. 3158–3167.

    [13] F.D. Davis, A Technology Acceptance Model f Empirically Testing New Enduser Infmation Systems: They Results, Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, USA, 1986.

    [14] M. Willetts, A.S. Atkins, C. Stanier, Big data, big data analytics application to smart home technologies services f geriatric rehabilitation, in: M.A. Choukou, S. SyedAbdul (Eds.), Smart Home Technologies Services f Geriatric Rehabilitation, Academic Press, London, 2022, pp. 205–230.

    [15] A formal definition of big data based on its essential features. Library Review, 65, 122-135(2016).

    [16] Social media big data analytics: A survey. Comput. Hum. Behav., 101, 417-428(2019).

    [17] Big data analytics and firm performance: Findings from a mixed-method approach. J. Bus. Res., 98, 261-276(2019).

    [18] M. Ward, C. Rhodes, Small businesses the UK economy [Online]. Available, https:researchbriefings.files.parliament.ukdocumentsSN06078SN06078.pdf, December 2014.

    [19] et alThe source of SMEs’ competitive performance in COVID-19: Matching big data analytics capability to business models. Inform. Syst. Front., 24, 1167-1187(2022).

    [20] How can SMEs benefit from big data? Challenges and a path forward. Qual. Reliab. Eng. Int., 32, 2151-2164(2016).

    [21] M. Willetts, A.S. Atkins, C. Stanier, Barriers to SMEs adoption of big data analytics f competitive advantage, in: Proc. of 4th Intl. Conf. on Intelligent Computing in Data Sciences, Fez, 2020, pp. 1–8.

    [22] Overcoming challenges and unlocking the potential: Empowering small and medium enterprises (SMEs) with data analytics solutions. Intl. Journal of Information Technology and Computer Science Applications, 1, 150-160(2023).

    [23] M. Iqbal, S.H.A. Kazmi, A. Manzo, A.R. Soomrani, S.H. Butt, K.A. Shaikh, A study of big data f business growth in SMEs: Opptunities & challenges, in: Proc. of Intl. Conf. on Computing, Mathematics Engineering Technologies, Sukkur, 2018, pp. 1–7.

    [24] Assessing business value of big data analytics in European firms. J. Bus. Res., 70, 379-390(2017).

    [25] Using thematic analysis in psychology. Qual. Res. Psychol., 3, 77-101(2006).

    [26] Journal of Data. Information and Management, 5, 55-69(2023).

    [27] Barriers and challenges in adopting Saudi telemedicine network: The perceptions of decision makers of healthcare facilities in Saudi Arabia. J. Infect. Public Heal., 9, 725-733(2016).

    [28] Qualitative Delphi method: A four round process with a worked example. The Qualitative Report, 22, 2755-2763(2017).

    [29] E. Wenger, B. TraynerWenger, Communities of practice: A brief introduction [Online]. Available, http:www.wengertrayner.comwpcontentuploads20150407Briefintroductiontocommunitiesofpractice.pdf, July 2021.

    [30] J. Nielsen, Usability Engineering, Academic Press, Boston, 1993.

    [31] Hootsuite, Social media management dashboard [Online]. Available, https:www.hootsuite.comengb, January 2021.

    [32] IT Governance, Brexit, GDPR & data protection: What you need to know [Online]. Available, https:www.itgovernance.co.ukeugdprukdpa2018ukgdpr, October 2020.

    [33] GOV.UK, Data protection: The data protection act [Online]. Available, https:www.gov.ukdataprotection, September 2023.

    [34] F. Duarte, Amount of data created daily (2023) [Online]. Available, https:explodingtopics.comblogdatageneratedperday, September 2023.

    [35] Beyond the hype: Big data concepts. methods, and analytics, Int. J. Inform. Manage., 35, 137-144(2015).

    [36] B. Kahan, Exerpts from: Review of evaluation framewks, Saskatchewan Ministry of Education (2008) [Online]. Available, https:kau.edu.saGetFile.aspxid=170971&Lng=AR&fn=evaluationframewksreview.pdf, March 2008.

    [37] Validation and evaluation of predictive models in hazard assessment and risk management. Nat. Hazards, 37, 315-329(2006).

    [38] J. Nielsen, 10 usability heuristics f user interface design [Online]. Available, https:www.nngroup.comarticlestenusabilityheuristics, November 2021.

    [39] J. Nielsen, Severity ratings f usability problems [Online]. Available, https:www.nngroup.comarticleshowtoratetheseverityofusabilityproblems, November 1994.

    [40] C. Jimenez, P. Lozada, P. Rosas, Usability heuristics: A systematic review, in: Proc. of 11th Colombian Computing Conf., Popayan, 2016, pp. 1–8.

    [41] A. Abulfaraj, A. Steele, Detailed usability heuristics: A breakdown of usability heuristics to enhance comprehension f novice evaluats, in: Proc. of 22nd Intl. Conf. on HumanComputer Interaction, Copenhagen, 2020, pp. 3–18.

    [42] V. Brock, H.U. Khan, Big data analytics: Does ganizational fact matters impact technology acceptance J. Big Data 4 (1) (Jul. 2017) 21:1–28.

    [43] Small medium enterprises technology acceptance model: A conceptual review. Int. J. Bus. Soc., 19, 689-699(2018).

    [44] J.P. Chin, V.A. Diehl, K.L. Nman, Development of an instrument measuring user satisfaction of the humancomputer interface, in: Proc. of SIGCHI Conf. on Human Facts in Computing Systems, Washington, 1988, pp. 213–218.

    [45] A theoretical extension of the technology acceptance model: Four longitudinal field studies. Manage. Sci., 46, 186-204(2000).

    [46] A model of the antecedents of perceived ease of use: Development and test. Decision Sci., 27, 451-481(1996).

    [47] Using an expert panel to validate a requirements process improvement model. J. Syst. Software, 76, 251-275(2005).

    [48] J. Nielsen, Why you only need to test with 5 users [Online]. Available, https:www.nngroup.comarticleswhyyouonlyneedtotestwith5users, October 2021.

    [49] Qualitative study on barriers of adopting big data analytics for UK SMEs. Intl. Journal of Big Data Management, 3, 28-50(2023).

    Matthew Willetts, Anthony S. Atkins. Evaluation of a software positioning tool to support SMEs in adoption of big data analytics[J]. Journal of Electronic Science and Technology, 2024, 22(1): 100229
    Download Citation