Open Journal in Information Systems Engineering

ROISI - ISSN 2634-1468 - © ISTE Ltd

Journal issues

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Recent articles

Editorial

Ce numéro spécial de la “Revue ouverte d’ingénierie des systèmes d’information” rassemble des articles étendus des éditions 2023 et 2024 du congrès INFORSID.

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CircuSchain: A continuous improvement method for evaluating and designing supply chains based on circular economy principles

The Circular Economy consists in producing goods and services in a sustainable way by limiting the consumption and waste of resources and the production of waste. Pressure from laws, stakeholders and customers leads organization to review their practices and adopt the circular economy principles to improve the circularity of their supply chains. In practice, companies look for a way to make their supply chains more circular. A successful transition towards circular supply chains requires continual measurement of progress towards circularity. The main contribution of this paper is a method called CircuSChain that aims at guiding organizations in order to evaluate and design more circular supply chains. The method, formalized in the form of an intentional process model and a product meta-model, is based on the use of a generic model of circular supply chains, a serious game to simulate the structure and operating of a circular supply chain, and a circularity indicator to calculate the circularity of a supply chain. This paper extends a previous article [KUR 23] by detailing these tools used by the method as well as all the protocols used in the different strategies proposed by the method.

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Digital Transformation of the Industry: Business Knowledge Elicitation and Acceptability

Business processes digitalization is a crucial challenge for companies, providing the opportunity to enhance their efficiency, quality, and execution speed. This transformation cannot be fully achieved without a thorough mastery of individual expert knowledge, collaborative management, and knowledge formalization, as well as a complete adoption of new technologies. This paper proposes a methodological approach based on knowledge elicitation for the design of formal, consensual, and shared ontologies. A binomial analysis of the acceptability of digital technologies complements this process to better understand the requirements and concerns of experts and to propose appropriate solutions. The proposed approach is experimentally tested on industrial collaboration projects in the field of manufacturing (associating knowledge sources from multinational companies) and in the field of viticulture (associating explicit knowledge and implicit knowledge acquired through observation.

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An Architecture Using Trace Clustering to Recommend a Learning Path: Definition of Process Mining and Recommender Layers

Educational information systems make it possible to observe learners’ learning traces and to carry out analyses of their behaviour or to predict their success. In this work, we study how Process Mining can be used in contextual recommender systems. We are focusing in particular on Trace Clustering, which aims to group together traces with similar dynamics. Our contributions concern the definition of an architecture for recommendation that uses Trace Clustering and the characterization of the learning styles of the identified groups. We validate our proposal on data collected from an introductory course in UI programming.

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Ethical management of consent to the processing of personal data: How can dark patterns be used to guide the decision-making?

Faced with the development of big data and its application to personal data, the European legislator has provided a protective legal framework: the "General Data Protection Regulation" (GDPR). When it came into force on May 25, 2018, the issue of obtaining consent prior to any processing of personal data was at the heart of the concerns of targeted advertising, particularly programmatic advertising, and of performance analysis. This has led to the emergence of service providers specialized in the creation of consent collection interfaces, the Consent Management Platforms (CMP), but also to the multiplication of dark patterns aiming at forcing the obtaining of such consent. In this research, we identified the dark patterns used by a set of press sites and then used the dark pattern typology of Gray and his co-authors to classify the designs. We then discussed, on the one hand, their legality and, on the other, their ethics (from the point of view of the utilitarian and deontological approaches). Finally, we discuss the best ways of combating the abuses observed. In particular, we demonstrate the existence of a grey area that allows professionals to maximise, sometimes temporarily, the amount of personal data collected.

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Preface

Ce numéro spécial de la revue Open SI regroupe quelques articles d’INFORSID’22 en version étendue. Ils ont été choisis d’une part pour leur qualité scientifique, mais aussi pour leur représentativité des sujets qui animent la communauté. Nous remercions les auteurs de leur contribution, tout comme les relecteurs de ces nouvelles versions. Si tous les articles sont orientés modèles et méthodes ils s’adressent cependant à des champs différents.

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A hierarchical approach to assessing the value of data

Data is a strategic asset for organizations. Assessing its value provides companies with a mean to identify strategies that offer a competitive advantage and to measure their informational capital. There is neither an approach nor a set of standards and rules to apply for this valuation due to the intangible nature of data. In this paper, we propose an approach combining an enriched concept of data value, a conceptual model including this concept and the notion of context, and a value assessment method based on this model. The originality is to combine risk-based approaches with the more classical approaches to the valuation of tangible assets (cost, market, or income approaches). The approach is confronted with several real cases from the literature allowing a validation of its usefulness and added value.

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Exploring Music Scores as Graph Data

Sheet music scores have been the traditional way to preserve and disseminate Western classical music works for centuries. Nowadays, their content can be encoded in digital formats that yield a very detailed representation of music content expressed in the language of music notation. These encoded (digital) scores constitute an invaluable asset for digital library services such as search, analysis, clustering, and recommendations. In this paper, we propose a model of the musical content of digital score as graph data, which can be stored in a graph database management system. We then discuss the querying of such data through graph pattern queries. We also describe a proof-of-concept of the approach that allows uploading music scores in a Neo4j database, and expressing searches and analyses through graph pattern queries with the query language Cypher.

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Collaborative innovation for seniors’ mobility. An experimental approach to designing solidarity-based car-sharing services

The objective of the article is to show the co-design of daily mobility services for seniors in rural and peri-urban areas through a continuous improvement method enriched with fragments of methods (Design Thinking, scenario-by-design, innovation by usages) in order to take into account the complexity of mobility services required by end-users (permanent changes, immediacy, specific constraints). Creating services on the fly is not easily compatible with design methods for socio-technical ecosystems which require fairly stable procedures. In this article, we present the reference framework (As-Is/As-If), the ecosystem study phases (analysis, diagnosis and innovation), the augmentation of the method by adding other methods fragments and a summary of the proposed service innovations. We also present the experiments carried out and the serious game created to facilitate the co-construction of mobility services.

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Semantic Trajectories Similarity: Measures Addressing Spatial,Temporal and Thematic Dimensions

This paper is part of the DA3T project in collaboration with geographers. The objective is to propose methods and tools to process mobility tracks in order to improve their analysis and consequently touristic territory planning and valorization. As part of the design of a module for computing similarity for computing similarity between two semantic trajectories, we present two new similarity measures addressing all three dimensions (i.e. spatial, temporal and thematic).