Purpose This pilot study aimed to examine the factor structure of the Stakeholders’ Engagement in the Smart City Development Process (SESCDP) and validate its reliability. The objective was to develop a robust tool for future applications, including cross-validation and generalization to broader contexts, such as emerging markets. Design/methodology/approach In 2021, a survey was conducted in Szczecin, Poland, using CATI (computer-assisted telephone interviewing) and CAWI (computer-assisted web interviewing) methods. A random sample of 225 citizens and 120 companies provided primary data via a structured questionnaire. Quantitative analysis employed Cronbach’s alpha, confirmatory factor analysis (CFA), Pearson correlation and descriptive statistics using R (packages “lavaan” and “Hmisc”) and Microsoft Excel. Findings The SESCDP scale demonstrated high reliability, with Cronbach’s alpha confirming internal consistency across three items: public institutions, local businesses and citizens’ engagement in smart city development. CFA supported a unidimensional structure and validated the scale’s reliability and generalizability. Consistent fit indices across samples underscored the scale’s utility in measuring stakeholders’ engagement. Research limitations/implications Limitations include the small sample size and focus on one city. Future research should expand to larger populations and diverse contexts to enhance cross-validation and explore stakeholder perspectives further. Practical implications The validated SESCDP scale can guide stakeholder engagement practices in Smart City initiatives, with potential for application in emerging markets and varying socio-economic contexts. Originality/value This study confirms the SESCDP scale’s reliability and offers a practical tool for evaluating stakeholder roles in Smart City development globally.
Read full abstract- All Solutions
Editage
One platform for all researcher needs
Paperpal
AI-powered academic writing assistant
R Discovery
Your #1 AI companion for literature search
Mind the Graph
AI tool for graphics, illustrations, and artwork
Journal finder
AI-powered journal recommender
Unlock unlimited use of all AI tools with the Editage Plus membership.
Explore Editage Plus - Support
Overview
552 Articles
Published in last 50 years
Articles published on Web Interview
Authors
Select Authors
Journals
Select Journals
Duration
Select Duration
544 Search results
Sort by Recency