Cargando…

Questionnaire dataset: The Greek Smart Cities - Municipalities dataset

The dataset was formulated through field research in the Greek Municipalities. The survey was undertaken with an online questionnaire (available in Greek) and the contact person was the Chief Digital Officer or a person with similar responsibilities. The final sample is 252 out of a total of 325 Mun...

Descripción completa

Detalles Bibliográficos
Autores principales: Siokas, Georgios, Tsakanikas, Aggelos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715129/
https://www.ncbi.nlm.nih.gov/pubmed/35028341
http://dx.doi.org/10.1016/j.dib.2021.107716
_version_ 1784624072633614336
author Siokas, Georgios
Tsakanikas, Aggelos
author_facet Siokas, Georgios
Tsakanikas, Aggelos
author_sort Siokas, Georgios
collection PubMed
description The dataset was formulated through field research in the Greek Municipalities. The survey was undertaken with an online questionnaire (available in Greek) and the contact person was the Chief Digital Officer or a person with similar responsibilities. The final sample is 252 out of a total of 325 Municipalities. Each respondent had to answer to 26 questions, including sub-questions, of different types (1) 5-point Likert scale, (2) rating scale, (3) closed type “Yes/no”, (4) open-ended and (5) dropdown, and, depending on them, there are 3 types of variables (1) ordinal, (2) nominal, and (3) scale variables. The concepts included in the questionnaire are a) the level of integration and use of digital technologies, b) the difficulties and the challenges municipality authorities face when trying to implement a smart strategy and c) the level of diverse collaborations and partnerships which are necessary in order to develop a strategy. The data can be used to analyse the strategic capabilities of the Greek Municipalities under the three concepts evaluated in the questionnaire. The data's primary beneficiaries include researchers, public authorities, digital platforms entrepreneurs, smart city specialists and smart city entrepreneurs, as they can use the dataset to develop models against already known results, to identify factors important in an urban strategy and to further study the correlations between the different factors, design and draft an urban strategy on real data.
format Online
Article
Text
id pubmed-8715129
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-87151292022-01-12 Questionnaire dataset: The Greek Smart Cities - Municipalities dataset Siokas, Georgios Tsakanikas, Aggelos Data Brief Data Article The dataset was formulated through field research in the Greek Municipalities. The survey was undertaken with an online questionnaire (available in Greek) and the contact person was the Chief Digital Officer or a person with similar responsibilities. The final sample is 252 out of a total of 325 Municipalities. Each respondent had to answer to 26 questions, including sub-questions, of different types (1) 5-point Likert scale, (2) rating scale, (3) closed type “Yes/no”, (4) open-ended and (5) dropdown, and, depending on them, there are 3 types of variables (1) ordinal, (2) nominal, and (3) scale variables. The concepts included in the questionnaire are a) the level of integration and use of digital technologies, b) the difficulties and the challenges municipality authorities face when trying to implement a smart strategy and c) the level of diverse collaborations and partnerships which are necessary in order to develop a strategy. The data can be used to analyse the strategic capabilities of the Greek Municipalities under the three concepts evaluated in the questionnaire. The data's primary beneficiaries include researchers, public authorities, digital platforms entrepreneurs, smart city specialists and smart city entrepreneurs, as they can use the dataset to develop models against already known results, to identify factors important in an urban strategy and to further study the correlations between the different factors, design and draft an urban strategy on real data. Elsevier 2021-12-16 /pmc/articles/PMC8715129/ /pubmed/35028341 http://dx.doi.org/10.1016/j.dib.2021.107716 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Siokas, Georgios
Tsakanikas, Aggelos
Questionnaire dataset: The Greek Smart Cities - Municipalities dataset
title Questionnaire dataset: The Greek Smart Cities - Municipalities dataset
title_full Questionnaire dataset: The Greek Smart Cities - Municipalities dataset
title_fullStr Questionnaire dataset: The Greek Smart Cities - Municipalities dataset
title_full_unstemmed Questionnaire dataset: The Greek Smart Cities - Municipalities dataset
title_short Questionnaire dataset: The Greek Smart Cities - Municipalities dataset
title_sort questionnaire dataset: the greek smart cities - municipalities dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715129/
https://www.ncbi.nlm.nih.gov/pubmed/35028341
http://dx.doi.org/10.1016/j.dib.2021.107716
work_keys_str_mv AT siokasgeorgios questionnairedatasetthegreeksmartcitiesmunicipalitiesdataset
AT tsakanikasaggelos questionnairedatasetthegreeksmartcitiesmunicipalitiesdataset