Slim Turki

How Open Data Are Turned into Services

The Open Data movement has mainly been a data provision movement. The release of Open Data is usually motivated by (i) government transparency (citizen access to government data), (ii) the development of services by third parties for the benefit for citizens and companies (typically smart city approach), or (iii) the development of new services that stimulate the economy. The success of the Open Data movement and its return on investment should therefore be assessed among other criteria by the number and impact of the services created based on those data. In this paper, we study the development of services based on open data and means to make the data opening process more effective.

Compliance in e-Government Service Engineering: State-of-the-Art

Today’s organizations are faced with the need to conform to various laws and regulations governing their domain of activity. The information systems (IS) supporting organizational activities have to align to these enforcements as well. The obligation of compliance is particularly stressed in domains in which legal framework determines the entire functioning of an organization. E-government is such a domain. This state-of-the-art study aims to investigate the practices of regulation analysis for extracting key information for IS engineering. The study addresses the practices in any regulation domain, not only the one of e-Government, and will focus on approaches aiming to achieve and maintain regulatory compliance of IS and services with given regulations.

How open data ecosystems are stimulated

Value creation from open data faces several challenges, among them the risk to be too supply-driven, or the lack of incentives for the re-use. This paper reports an ongoing research program on the stimulation role in an open data ecosystem to mitigate these concerns. First, we present the empirical roots of this role that can be drawn from several initiatives undertaken in different countries and trying to bypass the obstacles faced by potential open data reusers. We discuss the importance of a legal framework inductive to foster innovation and transnationality of the re-use. Then, we introduce the BE-GOOD program which aims to develop new methods to build an open data ecosystem.

Open Data Ecosystems

The ecosystem perspective is widespread in open data research. First, some open data ecosystem models are discussed according to the roles identified. In these systems, we found room for a new role, at least a transversal role, consisting in stimulating the ecosystem. This role is specific in that it implies to understand the configuration, the mechanisms of the ecosystems and to define an influence strategy. Then, we show that strategic management has thoroughly analyzed the role of stimulator, or leader, that this discipline has built strong theoretical frameworks grounded in case studies. Therefore, we discuss the interest and the conditions to transpose these findings to an open data context and enrich the dimensions of stimulator’s functions. Following several spearhead initiatives, we state that public procurement is the best vehicle for channeling stimulator interventions. We conclude by a diagram summarizing the stimulator’s role that is intended to be instantiated in the frame of the BE-GOOD programme.

BE-GOOD: open data for a smarter society

This paper relates an ongoing experience in the field of public service information (PSI) to create new public services, mainly in the field of transport and infrastructures, and to define new methods to design them in a transnational context.

Social Networks Based Framework for Recommending Touristic Locations

Tourists need tools that can help them to select locations in which they can spend their holidays. We have multiple social networks in which we find information about hotels and about users’ experiences. The problem is how tourists can use this information to build their proper opinion about a particular location to decide if they should go to that place or not. We try in this paper to present a design of a solution that can be used to achieve this task. In this paper, we propose a framework for a recommender system that bases on opinions of persons on the one hand and on of users’ preferences on the other hand to generate recommendations. Indeed, opinions of tourists are extracted from different sources and analyzed to finally extract how the hotels are perceived by their customers in terms of features and activities. The final step consists in matching between these opinions and the users’ preferences to generate the recommendations. A prototype was developed in order to show how this framework is really working.

Sustainable and Responsible Investment: Stakeholders' Value Network

Sustainable and responsible investment (SRI) could be defined as the type of investment which aims to achieve financial returns while performing in terms of extra-financial aspects, such as social, environmental, governance and ethical objectives. In recent years, interest in SRI funds has been growing. It leads to a profusion of labels and funds claiming to be responsible and sustainable. As a result, new roles and specific SRI-service providers have emerged, such as labeling and rating agencies or SRI-auditors among others. Nevertheless, these emergent SRI-services remain unregulated, partially due to the novelty and constant evolution of this domain. The SRI funds’ value network could be considered as a tailored investment funds value network. This paper aims to contribute to achieving better understanding of the specificity of SRI fund industry and involved stakeholders. It contributes to the formalization of the roles within the SRI- specific value chain with goal-and-value-modeling languages.