@article{von_lucke_comparative_2024,

title = {Comparative Analysis of the Relevance and Priority for Artificial Intelligence Tools, Services and Open Questions in the Hellenic, Argentinian and Canadian Parliaments},

author = {J. Von Lucke and F. Fitsilis and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206448457&doi=10.1163%2f26668912-bja10089&partnerID=40&md5=50e5ac8b59c25012285e0d98dddf6665},

doi = {10.1163/26668912-bja10089},

issn = {26668904 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Parliamentary Studies},

abstract = {Artificial Intelligence (ai) is on the rise and already affecting parliaments around the world. In the framework of a long-term and on-going research project, a series of interactive workshops have been organized between 2021 and 2023 in three national parliaments, in Greece, Argentina, and Canada, with the objective to assess the relevance and priority of a pre-defined set of 210 proposals, primarily regarding the use of ai-based tools and services in the parliamentary workspace. Reflection groups within each parliament evaluated these proposals providing invaluable results that can be utilized in manifold ways by the institutions, for instance towards structuring digital strategies, designing future it systems, or training intra-parliamentary stakeholders. This article presents a comparative analysis of the results obtained by all three parliaments. The analysis sheds light in a rapidly developing field of disruptive parliamentary technology (ParlTech) that with define the parliaments of the future. © 2024 Jörn von Lucke et al.},

note = {Publisher: Brill Academic Publishers},

keywords = {Artificial intelligence, interactive workshops, parliament of the future, parliaments, ParlTech},

pubstate = {published},

tppubtype = {article}

}

@article{agbodoh-falschau_when_2024,

title = {When Misleading Information Hits: How Canadian Companies React?},

author = {R. K. Agbodoh-Falschau and O. Lamzihri and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207355906&doi=10.1057%2fs41299-024-00203-4&partnerID=40&md5=d5f72a1918cee04b8585bad2153ca426},

doi = {10.1057/s41299-024-00203-4},

issn = {13633589 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {Corporate Reputation Review},

abstract = {The concept of misleading information categorized as misinformation, disinformation, and mal-information among others is receiving much attention, as it is seen to have detrimental consequences on the organizations’ reputation and going concerns. Corporations face more challenges in honing responses to combat these cyber threats as there are still significant differences in the proposed governance solutions and a lack of empirical research investigating the most prevalent ones to fight these growing risks. Grounded on protection motivation theory, empirical evidence, and the data collected from the Statistics Canada Open Sources Database, this paper investigates the appropriateness of governance solutions that corporations contemplate in managing these cybersecurity risks. Our results show that governance solutions related to increasing online presence and customer outreach explained 52% of overall solutions contemplated by corporations to fight these cyber threats. The results also revealed that organizations ranked governance solutions associated with employee training, new increase cybersecurity measures, marketing campaigns, legal action, political advocacy, and reporting to external parties as the most adopted solutions to combat false or misleading information. Overall, our paper contributes to a growing disinformation, misinformation, and mal-information literature in business environments by providing empirical evidence on key governance solutions favored by corporations to combat misleading information. © The Author(s), under exclusive licence to Springer Nature Limited 2024.},

note = {Publisher: Springer Nature},

keywords = {C81, Cybersecurity risk, Disinformation, G34, Governance, K42, M15, Misinformation, Misleading information, Principal component analysis},

pubstate = {published},

tppubtype = {article}

}

@article{khosrojerdi_digital_2023,

title = {Digital Transformation: Prior to and Following the Pandemic},

author = {F. Khosrojerdi and H. Motaghi and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160784938&doi=10.1007%2f978-3-031-27886-0_5&partnerID=40&md5=ca00a96e6f0709aa71524b6c32ca8fe6},

doi = {10.1007/978-3-031-27886-0_5},

issn = {14311933},

year  = {2023},

date = {2023-01-01},

journal = {Contributions to Economics},

pages = {139–152},

abstract = {COVID-19 has negatively affected business operations and drastically threatened different ongoing organizational changes. Digital transformation has been considered a unique way of improving performance and business operations in the new digital world. However, the immediate shutdown caused by the pandemic and the lack of preparation for implementing digital transformation influenced most industries. This chapter outlines the negative implications of COVID-19 on transferring to digital solutions as well as revealed prospects. In this regard, the outcomes of implementing digital transformation in several sectors are reviewed. Assessing these impacts addresses the benefits and drawbacks associated with digitalized solutions. We highlight the beginning of the year 2020, the announcement of the global pandemic, as an important timeline for evaluating the contributions of published papers. Furthermore, we emphasize that papers published following the epidemic in addition to considering the impacts should be included in future research studies in this field. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.},

note = {Publisher: Springer Science and Business Media Deutschland GmbH},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{azzi_scoring_2023,

title = {Scoring Ontologies for Reuse: An Approach for Fitting Semantic Requirements},

author = {S. Azzi and A. Assi and S. Gagnon},

editor = {Vlachidis A. Garoufallou E.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172082147&doi=10.1007%2f978-3-031-39141-5_17&partnerID=40&md5=f2d307e9185aca3ae5a69c31e8e4440a},

doi = {10.1007/978-3-031-39141-5_17},

issn = {18650929},

year  = {2023},

date = {2023-01-01},

journal = {Communications in Computer and Information Science},

volume = {1789 CCIS},

pages = {203–208},

abstract = {The process of reusing ontologies is still challenging for the ontological community. One of the challenging efforts is to select the most relevant ontology from a set of candidates that needs a deep consideration. After the step of finding the candidates, many of them can be more appropriate than others as they fit better to the ontology requirements expressed by competency questions. First, we develop a mathematical formalisation based on Set Theory and we design the problem as an optimization problem to assist the knowledge engineer in selecting ontologies. Then, we provide formal steps to make well-founded comparison across a set of candidate ontologies. At last, we propose metrics to quantify the decision during the selection step. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.},

note = {ISBN: 9783031391408 

Publisher: Springer Science and Business Media Deutschland GmbH},

keywords = {Competency question, Fitting semantics, Formalisation, Ontological communities, Ontology, Ontology engineering, Ontology reuse, Ontology's, PNADO, Reuse, Semantic requirement, Semantic Web, Semantics},

pubstate = {published},

tppubtype = {article}

}

@article{azzi_ontology-driven_2023,

title = {Ontology-Driven Parliamentary Analytics: Analysing Political Debates on COVID-19 Impact in Canada},

author = {S. Azzi and S. Gagnon},

editor = {Asemi A. Francesconi E. Ko A.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172088757&doi=10.1007%2f978-3-031-39841-4_7&partnerID=40&md5=5dff3b672c36c66070042a35eed048e0},

doi = {10.1007/978-3-031-39841-4_7},

issn = {03029743},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {14149 LNCS},

pages = {89–102},

abstract = {Parliamentary debates are usually published in Parliament’s websites to allows citizens to be informed on the latest national debates, proposals and decisions. To enhance citizen experience and engagement, functionalities such as debates annotation and question answering are necessary. Annotating text requires semantic content and ontologies are known for their ability to describe a common vocabulary for a domain and can be a solid base for annotation and question answering. We report on an ongoing study to enhance parliamentary analytics using an ontology and knowledge graph to sharpen annotations and facilitate their query by end-users. As a salient case, a sample of debates are collected on the COVID-19 impact in Canada, as its complexity shows the relevance of using advanced knowledge representation techniques. We focused on the development of a new “Impact of COVID-19 in Canada Ontology” (ICCO) that provides contextualized semantic information on impact in numerous policy areas, as this ontology is entirely built from Canadian parliamentary debates. It has been evaluated and validated by experts. Our conclusion underscores the importance of integrating ontology-driven parliamentary analytics within the broader context of digital transformation in legislative institutions, and the need for new platforms supporting free and open Digital Humanities. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.},

note = {ISBN: 9783031398407 

Publisher: Springer Science and Business Media Deutschland GmbH},

keywords = {COVID-19, End-users, Knowledge graph, Knowledge graphs, Ontology, Ontology graphs, Ontology's, Parliamentary debate, Political debates, Question Answering, Semantic content, Semantic ontology, Semantics, Solid basis},

pubstate = {published},

tppubtype = {article}

}

@article{harnois_killing_2023,

title = {Killing a Country and Getting Away with It: Neopatrimonialism and Incurable Corruption by Political Elites Linked to International Development Aid},

author = {Y. G. Harnois and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165485292&doi=10.1177%2f0169796X231178568&partnerID=40&md5=6c1f58a3abf678d65137093fc150d9d2},

doi = {10.1177/0169796X231178568},

issn = {0169796X},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Developing Societies},

volume = {39},

number = {3},

pages = {289–326},

abstract = {As some countries are increasingly locked in a state of incurable corruption, while most political elites escape lavishly any prosecution, there is a growing concern that global governance is overlooking the crimes committed by some leaders who are “killing a country and getting away with it.” This phenomenon of state capture coincides increasingly with countries heavily dependent on international development aid. It also coincides within cultures where neopatrimonialism is allowed to flourish as opposed to more modern public administration standards. Inspired by a post-colonial and broader critical perspective, but with a practice-oriented focus, this article reviews the literature related to project management methods and how they can help uncover and prevent corruption. A review of governance regimes leads to a set of models to help better contextualize development aid management and identify how evidence-gathering can be enhanced to ensure that maximum sanctions are taken against corrupt political elite. © 2023 The Author(s).},

note = {Publisher: SAGE Publications Ltd},

keywords = {colonialism, corruption, development aid, elite politics, governance approach, literature review, Project management, public administration},

pubstate = {published},

tppubtype = {article}

}

@article{gagnon_semantic_2022,

title = {Semantic Annotation of Parliamentary Debates and Legislative Intelligence Enhancing Citizen Experience},

author = {S. Gagnon and S. Azzi},

editor = {Kotsis G. Francesconi E. Ko A.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135782631&doi=10.1007%2f978-3-031-12673-4_5&partnerID=40&md5=0765bacc7d38f77896bd9adf402268b9},

doi = {10.1007/978-3-031-12673-4_5},

issn = {03029743},

year  = {2022},

date = {2022-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {13429 LNCS},

pages = {63–76},

abstract = {The concept of “Legislative Intelligence” (LegisIntel) refers to Artificial Intelligence (AI) and semantic analytics tools implemented in parliaments to enhance citizen experience in monitoring complex interrelations among various contents of parliamentary proceedings. The integration of a suite of digital solutions can build upon the core functionality of Semantic Annotation of Parliamentary Debates. Using well-established Natural Language Processing (NLP) technologies, linked to ontologies and Knowledge Graphs (KG), it can help identify the concepts and entities throughout texts, and index sentences and summaries as per a citizen’s customized knowledge base. These annotations can then be leveraged to recommend relevant text excerpts end-users could build upon, within teams if they chose to do so, and possibly compose and customize legislative critiques and recommendations thoroughly tested for coherence, accuracy, and evidence. The present study proposes an international open-source initiative among parliaments to ensure the launch and viability of a suite of LegisIntel solutions. It reports on the completed initial phase of this initiative, aiming to prepare discussions in launching an international consultation among peers. The goals of this phase are to document the core functionality of LegisIntel solutions and formulate a proposed architecture that may serve to generate ideas from various developer communities. The Action Design Research (ADR) methodology is used in this process, with results focused on system artefacts such as an interface mockup, a functional design, and a model of infrastructure components. The conclusion addresses risks and outlines the next steps of this initiative. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},

note = {ISBN: 9783031126727 

Publisher: Springer Science and Business Media Deutschland GmbH},

keywords = {Analytic tools, Core functionality, Digital solutions, Knowledge graph, Language processing, Laws and legislation, Legislative intelligence, Natural language processing systems, Natural languages, Parliamentary debate, Parliamentary proceedings, Semantic annotations, Semantic-analytics, Semantics},

pubstate = {published},

tppubtype = {article}

}