Background: Over the last 20 years, process mining has become a vibrant research area due to the advances in data management technologies and techniques and the advent of new process mining tools. Recently, the links between process mining and simulation modelling have become an area of interest.Objectives: The objective of the paper was to demonstrate and assess the role of process mining results as an input for discrete-event simulation modelling, using two different datasets, one of which is considered data-poor while the other one data-rich.Methods/Approach: Statistical calculations and process maps were prepared and presented based on the event log data from two case studies (smart mobility and higher education) using a process mining tool. Then, the implications of the results across the building blocks (entities, activities, control-flows, and resources) of simulation modelling are discussed.Results: Apart from providing a rationale and the framework for simulation that is more efficient modelling based on process mining results, the paper provides contributions in the two case studies by deliberating and identifying potential research topics that could be tackled and supported by the new combined approach.Conclusions: Event logs and process mining provide valuable information and techniques that could be a useful input for simulation modelling, especially in the first steps of building discreteevent models, but also for validation purposes.
Crowdfunding (CF) ili skupno financiranje je primjer digitalne transformacije u financijskom posredovanju jer označava praksu financiranja projekata prikupljanjem novca od velikog broja ljudi putem interneta. S ciljem razumijevanja postojećeg znanja i buduće perspektive crowdfundinga, ovaj pregledni rad analizira bibliografske i tekstualne podatke o CF uz pomoć znanstvenog mapiranja (koristeći analizu najutjecajnijih autora i publikacija) i rudarenja teksta. Dobiveni rezultati pokazuju četiri smjera istraživanja od kojih je prvi najopsežniji i odnosi se na generalna istraživanja koja konceptualiziraju CF unutar različitih okvira. Drugi smjer istraživanja u fokusu ima CF temeljen na nagradama i donacijama te temeljem dostupnih podataka istražuje njihove veze i efekte. Treći i četvrti smjer istraživanja su značajno manjeg opsega gdje je treći smjer usmjeren na CF koji se temelji na posuđivanju i odnosima investitora i kreatora projekta, a četvrti smjer je podzastupljen i odnosi se na CF temeljem vlasničkih udjela s naglaskom na start-up tvrtke. Rezultati ovog rada potvrđuju transdisciplinarnost i fragmentiranost područja istraživanja te ukazuju da su teme istraživanja u fazi modeliranja i implementacije. Rad daje i smjernice za buduća CF istraživanja.
Overloaded infrastructure is one of the main challenges cities are facing nowadays. Cities attempt to overcome these challenges by applying different innovative concepts and technologies, some of which are smart city initiatives. One of the elementary features of smart cities is the modernization of public transport and a well-designed transportation infrastructure. Modern information systems are used in public transportation in many ways, with the main purpose of facilitating and improving public transport for citizens. This chapter overviews the implementation of some standard information systems in public transportation and explains their purposes, way of functioning, and advantages for both users and providers. The aim of this chapter is to demonstrate relevant information systems used in public transport in several European cities - Rome, Paris, London, and Split. It is clearly shown that each city has its own version of a particular information system that achieves the goals of smart mobility.
Information and communication technologies (ICTs) can help in cutting up to 20% of global carbon emissions by assisting consumers, different industries, and the public sector in energy savings and energy efficiency improvement. This chapter explores the relationship between ICTs and the development of renewable energy in European countries. In the first part of the research, the author conducted a cluster analysis to measure the differences in the use of ICTs in Europe through information society indicators. The results of the clustering (hierarchical and K-means) showed the existence of four clusters, and the increased differences between clusters from 2015 to 2020. The second part of the research confirms the existence of differences between clusters in the share of energy consumption from renewable sources, and the differences proved to be statistically significant. The results are discussed in terms of implications for public transportation, concluding that local governments must start and/or keep using ICTs for urban solutions for the future to be greener and sustainable.
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