Towards a City's Systems Integration Model for Smart City Development: A Conceptualization

Javidroozi, Vahid; Shah, Hanifa; Cole, Adrian; Amini, Ardavan

doi:10.1109/csci.2015.10

Cited by 15 publications

(12 citation statements)

References 42 publications

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“…Data integration helps to connect different data sources used by virtual enterprises in cities that collaborate to provide digital services (Janssen and Cresswell, 2005). Overall, data integration provides access to real-time information to citizens and stakeholders in smart cities (Javidroozi et al , 2015; Vakali et al , 2014).…”

Section: Discussionmentioning

confidence: 99%

“…The vision of digital transformation of cities aims to use smart technologies to achieve seamless data exchanges between various system deployed for city services (Costin and Eastman, 2019). Hence, system alignment and data integration are important for digital transformation of cities (Javidroozi et al , 2015). Accordingly, system alignment is the ability for two systems to recognize one another and to use resources from one another (Heaton and Parlikad, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Kong and Woods (2018) explored the ideological alignment of smart urbanism highlighting the role of citizens and government in designing urban futures. Javidroozi et al (2015) proposed a smart city systems integration model to provide access to real-time data and offer flexibility for creation and provision of efficient services.…”

Section: Literature Reviewmentioning

confidence: 99%

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Digital transformation with enterprise architecture for smarter cities: a qualitative research approach

Anthony

Petersen²,

Helfert

et al. 2021

DPRG

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Purpose Smart city services are supported by information and communication technologies (ICT) referred to as digital technologies which increasingly promise huge opportunities for growth but are faced with system alignment and data integration issues when providing digital services. Therefore, this study aims to use enterprise architecture (EA) in digital transformation of cities by developing an architecture to address system alignment and data integration in digital transformation of cities. Design/methodology/approach Qualitative method is applied to evaluate the presented architecture based on electric-mobility (e-mobility) scenario, and data was collected using case study via interviews from a municipality in Norway to validate the applicability of EA for digital transformation of city services. Findings Findings from the interviews were represented in ArchiMate language to model the digital transformation of e-mobility in smart cities. Findings suggest that the architecture serves as a guide to recommend urban administrators of the potential of EA and digital transformation in addressing system alignment and data integration issues in smart cities. Research limitations/implications Data used in this study is from a single case, hence there is a need to evaluate the application of EA for digital transformation of city services with data collected from multi-cases. Practical implications This study adopts enterprise architecture approach to support city transformation as it has been widely applied by institutions to align business and ICT components. Social implications This study provides implication on how municipalities can use EA and digital transformations towards a sustainable smart city. Originality/value An architecture is presented that can be used as a guide to help urban developers and designers in deploying sustainable transport policies for smart cities. Additionally, EA is used to foster digitalization towards achieving system alignment and data integration in cities to support urban environment as they digitally transform services provided to citizens.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Digital transformation with enterprise architecture for smarter cities: a qualitative research approach

Anthony

Petersen²,

Helfert

et al. 2021

DPRG

View full text Add to dashboard Cite

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“…Cities are not only a carrier of production and residents' life, but also an important protector against hazards (Godschalk 2003;Lhomme et al 2013). A city can be regarded as an integrated system, consisting of many sub-systems such as building systems, medical systems, transportation systems and government management systems (Javidroozi et al 2015). The effective operation and cooperative work of these systems ensure the normal function of a city.…”

Section: The Establishment Of Urban Resilience Evaluation Index Systemmentioning

confidence: 99%

Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China

Xun

Yuan

2020

Nat Hazards

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Cities are important barriers to protect people's lives and property in the face of natural disasters, economic fluctuations and epidemic diseases. The evaluation of urban resilience is a hybrid multiple attribute group decision-making problem involving both crisp and fuzzy indicators. In order to evaluate the urban resilience reasonably and quantitatively, an urban resilience evaluation index system is established, including four primary indicators of ecological environment, municipal facilities, economic development and social development, and 28 secondary indicators. An evaluation model based on the theory of intuitionistic fuzzy set and TOPSIS method is proposed. The intuitionistic trapezoidal fuzzy number is used to quantify the fuzzy index and determine the weights of experts. The weight of each index is determined based on the maximizing deviation method. The relevant data of Dalian City from 2013 to 2017 are collected to evaluate the city resilience, and a sensitivity analysis is carried out based on the proposed model. The results may provide insights for the further urban resilience promotion.

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“…Thus, ESI requires a significant change in all ES key elements and addressing the challenges of these aspects. The key elements are process, people, technology and flow of data among them ( Javidroozi et al, 2015). This research concentrates on the process aspect and attempts to address the challenges of business process change (BPC), which is the most significant area for ESI ( Javidroozi et al, 2016).…”

Section: Motivation Of Researchmentioning

confidence: 99%

A framework for addressing the challenges of business process change during enterprise systems integration

Javidroozi

Shah

Feldman

2019

BPMJ

Self Cite

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Purpose Enterprise systems integration (ESI) is necessary for today’s business environment to access real-time data and quickly respond to fluctuating market demand. business process change (BPC) as a significant prerequisite of ESI encompasses various challenges that must be tackled by employing success factors, techniques and approaches. The purpose of this paper is to focus on BPC challenges and develop a conceptual framework for addressing BPC challenges in ESI. Design/methodology/approach BPC challenges and their success factors were first identified through a literature analysis. Then, the findings from the literature were thematically analysed and qualitatively validated through 35 unstructured interviews for developing the conceptual framework. Findings The findings from the literature suggested 17 BPC challenge along with their success factors. During the validation process, 15 BPC challenges were accepted by all interviewees, while most of the respondents disagreed with the two challenges of “consolidation of information system re-engineering with BPR”, and “customization”. Moreover, “risk” was suggested as a BPC challenge by several interviewees. Thus, the study offered a modified list of BPC challenges, which was empirically validated. Originality/value The study proposes a conceptual framework for addressing BPC challenges in ESI that enables enterprises to design their systems integration roadmap, based on an understanding of BPC challenges and their success factors, as well as supporting solution providers to develop solutions for effective and efficient BPC. Furthermore, the framework will act as a basis for BPC and developing a similar framework for other related contexts, such as smart cities.

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Towards a City's Systems Integration Model for Smart City Development: A Conceptualization

Cited by 15 publications

References 42 publications

Digital transformation with enterprise architecture for smarter cities: a qualitative research approach

Digital transformation with enterprise architecture for smarter cities: a qualitative research approach

Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China

A framework for addressing the challenges of business process change during enterprise systems integration

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