Alter ego, state of the art on user profiling: an overview of the most relevant organisational and behavioural aspects regarding User Profiling.

This report gives an overview of the most relevant organisational and\ud behavioural aspects regarding user profiling. It discusses not only the\ud most important aims of user profiling from both an organisation’s as\ud well as a user’s perspective, it will also discuss organisational motives\ud and barriers for user profiling and the most important conditions for\ud the success of user profiling. Finally recommendations are made and\ud suggestions for further research are given

A CONCEPTUAL LIFE EVENT FRAMEWORK FOR GOVERNMENT-TO-CITIZEN ELECTRONIC SERVICES PROVISION

In recent years, life event approach has been widely used by governments all over the world for designing and providing web services to citizens through their e-government portals. Despite the wide usage of this approach, there is still a challenge of how to use this approach to design e-government portals in order to automatically provide personalised services to citizens. We propose a conceptual framework for e-government service provision based on life event approach and the use of citizen profile to capture the citizen needs, since the process of finding Web services from a government-to-citizen (G2C) system involves understanding the citizens’ needs and demands, selecting the relevant services, and delivering services that matches the requirements. The proposed framework that incorporates the citizen profile is based on three components that complement each other, namely, anticipatory life events, non-anticipatory life events and recurring services

Inovativna internet podrška za elektronsku upravu u sociološkim, ekonomskim i biološkim sistemima

This paper proposes a novel approach to facilitate and foster e-government optimization and automation through the use of advanced information retrieval methods and techniques, and advanced Web technologies, as well. The approach suggested in this article aims to consider interactive processes which are simple, effective, and based on the user's needs and capabilities, rather than the government's organizational structure or government business models. It should create the opportunity to evaluate and eliminate redundant or unnecessary processes as well as to reduce costs and cycle times by transitioning from the processes mainly based on human- related work to automated and more intelligent processes.U radu se predlaže novi pristup koji treba da olakša i podstakne optimizaciju i automatizaciju elektronske uprave korišćenjem naprednih metoda i tehnika pretrage kao i naprednih veb-tehnologija. Pristup predložen u ovom radu ima za cilj da razmotri interaktivne procese koji su jednostavni, efikasni i zasnovani na potrebama i sposobnostima korisnika, a ne na organizacionoj strukturi vlade ili njenim poslovnim modelima. On treba da omogući da se ocene i eliminišu suvišni ili nepotrebni procesi, kao i da se smanje troškovi i vreme ciklusa prelaskom sa procesa uglavnom zasnovanih na ljudskom radu na automatizovane i inteligentnije procese

Data driven approaches for smart city planning and design: a case scenario on urban data management

Purpose Because of the use of digital technologies in smart cities, municipalities are increasingly facing issues related to urban data management and are seeking ways to exploit these huge amounts of data for the actualization of data driven services. However, only few studies discuss challenges related to data driven strategies in smart cities. Accordingly, the purpose of this study is to present data driven approaches (architecture and model), for urban data management needed to improve smart city planning and design. The developed approaches depict how data can underpin sustainable urban development. Design/methodology/approach Design science research is adopted following a qualitative method to evaluate the architecture developed based on top-level design using a case data from workshops and interviews with experts involved in a smart city project. Findings The findings of this study from the evaluations indicate that the identified enablers are useful to support data driven services in smart cities and the developed architecture can be used to promote urban data management. More importantly, findings from this study provide guidelines to municipalities to improve data driven services for smart city planning and design. Research limitations/implications Feedback as qualitative data from practitioners provided evidence on how data driven strategies can be achieved in smart cities. However, the model is not validated. Hence, quantitative data is needed to further validate the enablers that influence data driven services in smart city planning and design. Practical implications Findings from this study offer practical insights and real-life evidence to define data driven enablers in smart cities and suggest research propositions for future studies. Additionally, this study develops a real conceptualization of data driven method for municipalities to foster open data and digital service innovation for smart city development. Social implications The main findings of this study suggest that data governance, interoperability, data security and risk assessment influence data driven services in smart cities. This study derives propositions based on the developed model that identifies enablers for actualization of data driven services for smart cities planning and design. Originality/value This study explores the enablers of data driven strategies in smart city and further developed an architecture and model that can be adopted by municipalities to structure their urban data initiatives for improving data driven services to make cities smarter. The developed model supports municipalities to manage data used from different sources to support the design of data driven services provided by different enterprises that collaborate in urban environment.acceptedVersio