BIG DATA IN SUSTAINABLE REGIONAL DEVELOPMENT: THE DIGITAL FUTURE OF SMART REGIONS

Yıl 2019, Cilt: 3 Sayı: 2, 116 - 123, 31.08.2019

Serhii Sushchenko Trunina Iryna Khovrak Inna

Öz

Purpose – The idea of sustainable regional development
is a well-known concept in the EU, enshrined in official documents, forms the
basis of local policies and is widely used in practice. At the same time,
decentralization processes are taking place in Ukraine, which enhances not only
local authorities' ability to define development priorities but also increases
the responsibility for achieving results. Therefore, the purpose of this paper
is to investigate the strategic role of Big Data in supporting sustainable
regional development.

Methodology – The authors conduct an analysis of the
academic literature about sustainable regional development highlighting the
strategic role of Big Data. The authors also use a comparative analysis of regions
by the completeness of providing information on official sites of regional
state administrations.

Conclusions – This
research paper has important value by analyzing the strengths and weaknesses of
the local authorities, providing useful information for ensuring sustainable
regional development. 

Anahtar Kelimeler

Sustainable Development, Big Data, Local Authorities, Smart Region, Strategic Priorities

Kaynakça

• 1. “Big Data for Sustainable Development”, http://www.un.org/en/sections/issues-depth/big-data-sustainable-development/index.html,
• 2. Maaroof, A. “Big data and the 2030 agenda for sustainable development”, https://www.unescap.org/sites/default/files/1_Big%20Data%202030%20Agenda_stock-taking%20report_25.01.16.pdf, 2016.
• 3. Laney, D., “3D Data Management: Controlling Data Volume, Velocity, and Variety”. Meta Group Inc., http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf, 2001.
• 4. Mukred, M. and Jianguo, Z., “Use of Big Data to Improve Environmental Sustainability in Developing Countries”, International Journal of Business and Management, Vol. 12, No. 11, 2017.
• 5. Erevelles, S., Fukawa, N., and Swayne, L., “Big data consumer analytics and the transformation of marketing”, Journal of Business Research, Vol. 69 (2), Pages 897–904, 2016.
• 6. Power, D. J., “Using ‘big data’ for analytics and decision support”, Journal of Decision Systems, Vol. 23 (2), Pages 222–228, 2014.
• 7. Wamba, S. F., Akter, S., Edwards, A., Chopin, G., and Gnanzou, D., “How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study”, International Journal of Production Economics, Vol. 165, Pages 234–246, 2015.
• 8. Petrova, M., Sushchenko, O., Trunina, I. and Dekhtyar N., “Big Data Tools in Processing Information from Open Sources”, IEEE First International Conference on System Analysis & Intelligent Computing, https://ieeexplore.ieee.org/abstract/document/8516800, 2018.
• 9. Gandomi, A. and Haider, M., “Beyond the hype: Big data concepts, methods, and analytics”, International Journal of Information Management, Vol. 35, Pages 137–144, 2015.
• 10. Davenport, T. H., Barth, P. and Bean, R., “How big data is different”, MIT Sloan Management Review, Vol. 54 (1), Pages 43–46, 2012.
• 11. Mayer-Schönberger, V., and Cukier, K., “Big Data: A Revolution that will Transform how we Live, Work and Think”, John Murray, London, UK, 2013.
• 12. Xu, Z., Frankwick, G. L., and Ramirez, E., “Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective”, Journal of Business Research, Vol. 69 (5), Pages 1562–1566, 2016.
• 13. Irani, Z., “Investment evaluation within project management: An information systems perspective”. Journal of the Operational Research Society, Vol. 61 (6), Pages 917–928, 2010.
• 14. Sivarajah, U., Kamal, M., Irani, Z. and Weerakkody, V., “Critical analysis of Big Data challenges and analytical methods”, Journal of Business Research, Vol. 70, Pages 263–286, 2017.
• 15. Jukić, N., Sharma, A., Nestorov, S., and Jukić, B., “Augmenting data warehouses with Big Data”, Information Systems Management, Vol. 32 (3), Pages 200–209, 2015.
• 16. Dumbill, E., “Making Sense of Big Data”, Big Data, Vol. 1, No. 1., Mary Ann Liebert, Inc., 2013.
• 17. Chen, C. L. P. and Zhang, C. Y., “Data-intensive applications, challenges, techniques and technologies: a survey on big data”, Information Sciences, Vol. 275, Pages 314–347, 2014.18. Günther, W., Mehrizi, M., Huysman, M. and Feldberg, F., “Debating big data: A literature review on realizing value from big data”, Journal of Strategic Information Systems, Vol. 26, Pages 191–209, 2017.
• 19. “Integrating big data into the monitoring and evaluation of development programmes”, http://unglobalpulse.org/sites/default/files/IntegratingBigData_intoMEDP_web_UNGP.pdf
• 20. Manyika, J., “Big Data: The next frontier for innovation, competition, and productivity”. McKinsey Global Institute, 2011.
• 21. “A World that Counts: Mobilising the Data Revolution for Sustainable Development”, Data Revolution Group, http://www.undatarevolution.org/wp-content/uploads/2014/12/A-World-That-Counts2.pdf, 2014.
• 22. “Cape Town Global Action Plan for Sustainable Development Data”, High-level Group for Partnership, Coordination and Capacity-Building for statistics for the 2030 Agenda for Sustainable Development, http://undataforum.org/WorldDataForum/wp-content/uploads/2017/01/Cape-Town-Action-Plan-For-Data-Jan2017.pdf, 2017.
• 23. Douay, N. and Wan, A., “Big Data & Civic Engagement”, 2017.
• 24. Buzko, I., Vartanova, O., Trunina, I. and Khovrak I., “Theoretical aspects of regional sustainable development in the EU and Ukraine”, SHS Web of Conferences, https://www.shs-conferences.org/articles/shsconf/pdf/2019/02/shsconf_ies2018_01001.pdf, 2019.
• 25. McAfee, A. and Brynjolfsson, E., “Big Data”, Harvard Business Review, http://tarjomefa.com/wp-content/uploads/2017/04/6539-English-TarjomeFa-1.pdf, 2012.
• 26. Gurin, J., “Big Data and Open Data: How Open Will the Future Be?”, A Journal of Law and Policy for the Information Society, Vol. 10:3, Pages 691-704, 2015.
• 27. “Data ecosystems for sustainable development: An assessment of six pilot countries”, http://sdgfunders.org/reports/data-ecosystems-for-sustainable-development-an-assessment-of-six-pilot-countries/, 2017.