TY - JOUR
T1 - Urban Computing and Smart Cities
T2 - Towards Changing City Processes by Applying Enterprise Systems Integration Practices
AU - Javidroozi, Vahid
AU - Shah, Hanifa
AU - Feldman, Gerald
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - For developing smart cities, it is necessary to integrate all components of a city as a system of systems. This is facilitated by urban computing as a technology to address the complexity of providing adequate services to citizens through various city sectors/systems. Since business processes across city sectors/systems should be aligned with the objectives of urban computing, Business Process Change (BPC) is also a significant prerequisite of city systems integration for Smart City Development (SCD). However, there is limited research on understanding of BPC and its challenges in SCD, while in the private sector, the BPC best practices for Enterprise Systems Integration (ESI) have already been recognised and implemented. By considering city as an enterprise, this research aims at providing an understanding of similarities and differences between BPC challenges in the two contexts: SCD and ESI. This study collects data through literature analyses, interviews, and document analyses and suggests that many BPC challenges in SCD have an equivalent from the ESI context. In addition, the findings provide new insights through some challenges that are only relevant to the SCD context, so-called unsolved challenges. Consequently, the study developed a comparison framework, which indicates that the learnings from ESI could be utilised for the SCD context, in order to address BPC challenges. This will assist city authorities in designing their SCD roadmap, prioritising BPC challenges based on the efforts employed for ESI, and thinking about addressing unsolved challenges; as well as smart city solution providers to develop solutions for changing city processes.
AB - For developing smart cities, it is necessary to integrate all components of a city as a system of systems. This is facilitated by urban computing as a technology to address the complexity of providing adequate services to citizens through various city sectors/systems. Since business processes across city sectors/systems should be aligned with the objectives of urban computing, Business Process Change (BPC) is also a significant prerequisite of city systems integration for Smart City Development (SCD). However, there is limited research on understanding of BPC and its challenges in SCD, while in the private sector, the BPC best practices for Enterprise Systems Integration (ESI) have already been recognised and implemented. By considering city as an enterprise, this research aims at providing an understanding of similarities and differences between BPC challenges in the two contexts: SCD and ESI. This study collects data through literature analyses, interviews, and document analyses and suggests that many BPC challenges in SCD have an equivalent from the ESI context. In addition, the findings provide new insights through some challenges that are only relevant to the SCD context, so-called unsolved challenges. Consequently, the study developed a comparison framework, which indicates that the learnings from ESI could be utilised for the SCD context, in order to address BPC challenges. This will assist city authorities in designing their SCD roadmap, prioritising BPC challenges based on the efforts employed for ESI, and thinking about addressing unsolved challenges; as well as smart city solution providers to develop solutions for changing city processes.
KW - Business process change
KW - smart cities
KW - smart city development
KW - systems integration
KW - urban computing
UR - http://www.scopus.com/inward/record.url?scp=85071139150&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071139150&partnerID=8YFLogxK
UR - https://ieeexplore.ieee.org/abstract/document/8787780
U2 - 10.1109/ACCESS.2019.2933045
DO - 10.1109/ACCESS.2019.2933045
M3 - Article
AN - SCOPUS:85071139150
SN - 2169-3536
VL - 7
SP - 108023
EP - 108034
JO - IEEE Access
JF - IEEE Access
M1 - 8787780
ER -