Dataset Information

Questionnaire dataset: The Greek Smart Cities - Municipalities dataset.

ABSTRACT: 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.

SUBMITTER: Siokas G

PROVIDER: S-EPMC8715129 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:Teamwork and job satisfaction are important among the multidisciplinary team who care patients with chronic illnesses such as heart failure (HF) patients. TeamSTEPPS teamwork perceptions questionnaire (T-TPQ) and Minnesota Satisfaction Questionnaire "short form" (MSQ-short) are both self-report questionnaires which examine multiple dimensions of perceptions of teamwork and job satisfaction within healthcare settings, respectively. The aim of the study was to examine the psychometric properties of the Greek versions of the TeamSTEPPS Teamwork perceptions questionnaire (Gr-T-TPQ) and Minnesota Satisfaction Questionnaire "short form" (Gr-MSQ-short). METHODS:A methodological study was contacted in order to assess the construct validity and reliability of the Gr-T-TPQ and Gr-MSQ-short. For that reason, 292 questionnaires were administrated to Greek-Cypriot health care professionals (HCPs). Confirmatory factor analysis (CFA) was conducted for the data collected with the GrT-TPQ and Exploratory factor analysis (EFA) and CFA were also conducted for the data collected with the GrMSQ-short questionnaire. Cronbach's a was calculated as well. RESULTS:CFA of the data collected with Gr-T-TPQ confirmed the initial scale structure with excellent fit indices (×?2 (df) 1124.75 (550), p?<?0.0001, AGFI?=?0.986, TLI?=?0.994, CFI?=?0.994, RMSEA?=?0.06, 90%, C.I.[0.055-0.065]). Furthermore, all dimensions were found to be correlated (r?=?0.65 to r?=?0.88) and internal consistency was found adequate (Cronbach's ??=?0.96). Subscales also, demonstrated high internal consistency (??=?0.87-0.95). CFA for the data collected with Gr-MSQ-short, did not confirm the initial scale's dimensions. In EFA items 1, 5, 6, 12 and 18 were eliminated from the analysis due to low communalities and multiple components loading. The oblimin rotation with two factors was explaining 58% of the variance. These two factors identified were Supervisor/Autonomy and Task Enrichment. CONCLUSIONS:In general, the Gr-T-TPQ and Gr-MSQ-short are construct-valid instruments for measuring perceptions of teamwork and job satisfaction in Greek speaking HCPs' population.

Dataset Information

Questionnaire dataset: The Greek Smart Cities - Municipalities dataset.

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