A Value-Oriented Approach in Smart City Projects Selection and Ranking

Mityagin, Sergey A.; Drojjin, Sergey I.; Tikhonova, Olga

doi:10.1007/978-3-319-69784-0_26

Cited by 2 publications

(1 citation statement)

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“…The aim of the article is to build a rule-based negentropy model (RMFDN) to increase the energy efficiency of the city's digital transformation processes into a Smart City. The processes of digital transformation are a complex utilitarian and research problem appearing in many publications [1]. This is a problem mainly of digital transformation of enterprises, but also considering the complex aspects of transformation of public organizations [2].…”

Section: Introductionmentioning

confidence: 99%

The Rule-Based Model of Negentropy for Increasing the Energy Efficiency of the City’s Digital Transformation Processes into a Smart City

2022

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The aim of the article is to build a rule-based model (RMFDN) for increasing the energy efficiency of Smart Cities’ digital transformation processes. The problem that arises during the implementation of digital transformation processes concerns the measures that should be assigned to estimate the duration of the digital transformation. Previous studies of digital transformation have been based on the analysis of design processes based on key performance indicators (KPIs), their place and role in the digital transformation processes, and their monitoring with the use of information architecture. The analysis of the digital transformation processes of cities into Smart Cities shows that they seem inappropriate to the complexity and uncertainty of the digital transformation carried out. The new approach presented in the article is based on three key aspects: rule-based description of the state of digital transformation processes enabling their energy assessment, introducing energy maturity capsules to describe the state of these processes and application of measures based on project negentropy increments for maturity capsules.

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Section: Introductionmentioning

confidence: 99%