2017
DOI: 10.26417/ejes.v8i1.p23-28
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Can Big Data Analysis Make Cities Smarter? Emerging Issues and Stakeholder Implicationsin Smart Mobility

Abstract: This 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 signi… Show more

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Cited by 2 publications
(2 citation statements)
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“…In the age of smart devices, supply chains are trying hard to be sustainable (with respect to managing pollution, congestion and costs) at every stage. Thus, the interaction between modern communication tools and sustainability targets poses a critical challenge for all the stakeholders (Gürsoy and Yücelen, 2017).…”
Section: Theoretical Backgroundmentioning
confidence: 99%
See 1 more Smart Citation
“…In the age of smart devices, supply chains are trying hard to be sustainable (with respect to managing pollution, congestion and costs) at every stage. Thus, the interaction between modern communication tools and sustainability targets poses a critical challenge for all the stakeholders (Gürsoy and Yücelen, 2017).…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…In the age of smart devices, supply chains are trying hard to be sustainable (with respect to managing pollution, congestion and costs) at every stage. Thus, the interaction between modern communication tools and sustainability targets poses a critical challenge for all the stakeholders (Gürsoy and Yücelen, 2017). Stakeholder theory argues that in the context of big data, organizations have higher power, legitimacy, urgency and salience than that of individuals and societies (Tona et al , 2018).…”
Section: Literature Reviewmentioning
confidence: 99%