LAPSE:2023.31330v1
Published Article

LAPSE:2023.31330v1
Toward the Smart City Ecosystem Model
April 18, 2023
Abstract
This study aims to present the processes and mechanisms of creating smart city ecosystems by examining the complex strategic choices and interactions among stakeholders operating at different levels of governance and engagement. Based on the literature review and in-depth analyses of a case study (Lublin, Eastern Poland), we demonstrate that the implementation of tailored strategic thinking using adaptation to global trends, exploitation of development potentials and niches, and stakeholders’ involvement allows for coordination and mobilization of development processes leading to the creation of effective smart city ecosystems. In line with the defined smart city challenges, with the application of a three-stage research program, we create an implementable Smart City Ecosystem Model (SCEM). The contributions of the study are as follows: (1) it provides new insights into smart governance, leadership in creating a sustainable and human smart city; (2) it analyzes strategic choices in the creation of a stakeholder ecosystem and competitive business ecosystems based on smart specializations, providing new opportunities for the design and implementation of smart city strategies. Therefore, this study provides a new multidimensional policy framework for smart cities at both strategic and operational levels that can improve the holistic management of smart and sustainable cities and communities.
This study aims to present the processes and mechanisms of creating smart city ecosystems by examining the complex strategic choices and interactions among stakeholders operating at different levels of governance and engagement. Based on the literature review and in-depth analyses of a case study (Lublin, Eastern Poland), we demonstrate that the implementation of tailored strategic thinking using adaptation to global trends, exploitation of development potentials and niches, and stakeholders’ involvement allows for coordination and mobilization of development processes leading to the creation of effective smart city ecosystems. In line with the defined smart city challenges, with the application of a three-stage research program, we create an implementable Smart City Ecosystem Model (SCEM). The contributions of the study are as follows: (1) it provides new insights into smart governance, leadership in creating a sustainable and human smart city; (2) it analyzes strategic choices in the creation of a stakeholder ecosystem and competitive business ecosystems based on smart specializations, providing new opportunities for the design and implementation of smart city strategies. Therefore, this study provides a new multidimensional policy framework for smart cities at both strategic and operational levels that can improve the holistic management of smart and sustainable cities and communities.
Record ID
Keywords
business ecosystems, human smart city, Lublin, smart city, Smart City Ecosystem Model (SCEM), smart city strategy, smart governance, smart specializations, stakeholders ecosystem
Subject
Suggested Citation
Kociuba D, Sagan M, Kociuba W. Toward the Smart City Ecosystem Model. (2023). LAPSE:2023.31330v1
Author Affiliations
Kociuba D: Institute of Socio-Economic Geography and Spatial Management, Maria Curie-Skłodowska University, 20-718 Lublin, Poland [ORCID]
Sagan M: Collegium of Business Administration, SGH Warsaw School of Economics, 02-554 Warsaw, Poland [ORCID]
Kociuba W: Institute of Earth and Environmental Sciences, Maria Curie-Skłodowska University, 20-718 Lublin, Poland [ORCID]
Sagan M: Collegium of Business Administration, SGH Warsaw School of Economics, 02-554 Warsaw, Poland [ORCID]
Kociuba W: Institute of Earth and Environmental Sciences, Maria Curie-Skłodowska University, 20-718 Lublin, Poland [ORCID]
Journal Name
Energies
Volume
16
Issue
6
First Page
2795
Year
2023
Publication Date
2023-03-17
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16062795, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.31330v1
This Record
External Link

https://doi.org/10.3390/en16062795
Publisher Version
Download
Meta
Record Statistics
Record Views
175
Version History
[v1] (Original Submission)
Apr 18, 2023
Verified by curator on
Apr 18, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
http://psecommunity.org/LAPSE:2023.31330v1
Record Owner
Auto Uploader for LAPSE
Links to Related Works
