Can Big Data Analysis Make Cities Smarter? Emerging Issues and Stakeholder Implications in Smart Mobility
AbstractThis study deals with the challenges and bottlenecks with respect to the concept of smart cities which has largely been constructed on knowledge utilization issues and challenges. Despite the abundant existent literature in this field, the effective transformation of data into knowledge which can become a source of competitive advantage is still an ongoing debate, especially due to contemporary developments in big data analysis methods, approaches and strategies. As an emerging problem, the derivation of significant meaning from big data is among popular academic research fields, as well as being a crucial industrial and policy making engagement regarding value creating mechanisms in smart cities. Therefore in this study, limitations and challenges in translating big data into valuable knowledge in academia and industries are considered within the concept of smart mobility. In an attempt to propose researchers, business firms and governmental entities a collaborative approach, a perception about emerging issues is presented for clarifying some future constructs intersecting in relevant research and applied fields.
May 19, 2017
How to Cite
GÜRSOY, Asst. Prof. Dr. Serkan; YÜCELEN, Asst. Prof. Dr. Murat. Can Big Data Analysis Make Cities Smarter? Emerging Issues and Stakeholder Implications in Smart Mobility. European Journal of Economics and Business Studies, [S.l.], v. 8, n. 1, p. 23-28, may 2017. ISSN 2411-9571. Available at: <http://journals.euser.org/index.php/ejes/article/view/2448>. Date accessed: 18 jan. 2018. doi: http://dx.doi.org/10.26417/ejes.v8i1.p23-28.
CC Attribution 4.0 International (CC BY4.0)