SMART CITY: An overview of the functions of city marketing mobile applications

Tamás Iványi & Szilvia Bíró-Szigeti

Perspectives of Innovations, Economics & Business2018https://doi.org/10.15208/pieb.2018.4article
ABDC C
Weight
0.44

What the paper says

<p>The marketing activities of cities increasingly rely on information providing applications available for smartphones, which supplement and support the information system of cities and its use. Our study aims to explore and identify application functions accessible for mobile phones that are the most essential for consumers, and to make proposals on how to optimise functions available in applications by adjusting them to consumers' needs. Customizing of applications (e.g. local governments, destination managers) are always grappling with a shortage of resources, which is a problem that the measures outlined in this study for defining optimal functions for mobile applications offer an effective solution to, thereby helping to enrich and update contents made available to locals and tourists, and to improve the quality of online services and those available on smart phones. The basic assumption of our study was that different generations of consumers manifest different consumer behaviours in this field, and therefore we analysed data from our primary research with this in mind. We introduce our results in a breakdown by generations and functions. </p>

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https://doi.org/https://doi.org/10.15208/pieb.2018.4

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@article{tamás2018,
  title        = {{SMART CITY: An overview of the functions of city marketing mobile applications}},
  author       = {Tamás Iványi & Szilvia Bíró-Szigeti},
  journal      = {Perspectives of Innovations, Economics & Business},
  year         = {2018},
  doi          = {https://doi.org/https://doi.org/10.15208/pieb.2018.4},
}

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SMART CITY: An overview of the functions of city marketing mobile applications

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.23 × 0.4 = 0.09
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.