@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}

}

@article{khosrojerdi_integrating_2022,

title = {Integrating artificial intelligence and analytics in smart grids: a systematic literature review},

author = {F. Khosrojerdi and O. Akhigbe and S. Gagnon and A. Ramirez and G. Richards},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112559126&doi=10.1108%2fIJESM-06-2020-0011&partnerID=40&md5=7052f94c993368405955c1d33d87043c},

doi = {10.1108/IJESM-06-2020-0011},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Energy Sector Management},

volume = {16},

number = {2},

pages = {318–338},

abstract = {Purpose: The purpose of this study is to explore the latest approaches in integrating artificial intelligence and analytics (AIA) in energy smart grid projects. Empirical results are synthesized to highlight their relevance from a technology and project management standpoint, identifying several lessons learned that can be used for planning highly integrated and automated smart grid projects. Design/methodology/approach: A systematic literature review leads to selecting 108 research articles dealing with smart grids and AIA applications. Keywords are based on the following research questions: What is the growth trend in Smart Grid projects using intelligent systems and data analytics? What business value is offered when AI-based methods are applied? How do applications of intelligent systems combine with data analytics? What lessons can be learned for Smart Grid and AIA projects? Findings: The 108 selected articles are classified according to the following four research issues in smart grids project management: AIA integrated applications; AI-focused technologies; analytics-focused technologies; architecture and design methods. A broad set of smart grid functionality is reviewed, seeking to find commonality among several applications, including as follows: dynamic energy management; automation of extract, transform and load for Supervisory Control And Data Acquisition (SCADA) systems data; multi-level representations of data; the relationship between the standard three-phase transforms and modern data analytics; real-time or short-time voltage stability assessment; smart city architecture; home energy management system; building energy consumption; automated fault and disturbance analysis; and power quality control. Originality/value: Given the diversity of issues reviewed, a more capability-focused research agenda is needed to further synthesize empirical findings for AI-based smart grids. Research may converge toward more focus on business rules systems, that may best support smart grid design, proof development, governance and effectiveness. These AIA technologies must be further integrated with smart grid project management methodologies and enable a greater diversity of renewable and non-renewable production sources. © 2021, Emerald Publishing Limited.},

keywords = {Advanced Analytics, Automation, Building energy consumption, Data Analytics, Design/methodology/approach, Dynamic energy managements, Electric power system control, Electric power transmission networks, Energy management, Energy management systems, Energy utilization, Extract, Home energy management systems, Information management, Intelligent systems, Project management, quality control, Real time systems, SCADA systems, Smart power grids, Solar buildings, Supervisory control and dataacquisition systems (SCADA), System stability, Systematic literature review, transform and loads, Voltage stability assessment},

pubstate = {published},

tppubtype = {article}

}

@article{harnois_fighting_2022,

title = {Fighting corruption in international development: a grounded theory of managing projects within a complex socio-cultural context},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130599055&doi=10.1108%2fJAMR-06-2021-0195&partnerID=40&md5=f2c66c56d136f6225d332344d632d51f},

doi = {10.1108/JAMR-06-2021-0195},

issn = {09727981},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Advances in Management Research},

volume = {19},

number = {5},

pages = {677–712},

abstract = {Purpose: Taking a transdisciplinary viewpoint, the authors synthesize the literature on the theoretical, methodological, and epistemological issues in the study of corruption as a construct in project management (PM) as applied to IDPs. While the study of corruption has focused on “who and why” to help understand corruption's occurrence, there is a lack of analysis on “where and how” to ensure corruption's prevention and improve PM to better support delivery actors. The authors rely on four theoretical frameworks to help interpret evidence and formulate a coherent model for managing project socio-cultural context: organizational interests theory (OIT), principal-agent theory (PAT), culturalist theory (CT) and institutional theory (IT). Design/methodology/approach: International development projects (IDPs) have become very complex with greater diversity of donor agencies and aid delivery actors. The relative lack of success of development aid has been linked in part to corruption at various levels. PM methods are essential to help prevent this behavior. To assess the complexity of this problem, the authors completed a grounded theory research based on thirty interviews with international development experts, balancing representation from donor and receiving countries, as well as project managers in public and private sectors. Data are analyzed using a qualitative sorting process using the software NVivo. Findings: Results show that PM, beyond PM's practical nature and technical focus, can offer numerous opportunities to prevent corruption impact on project actors, even in a context where anti-corruption initiatives may be perceived as less effective. The authors present an original theoretical model that illustrates which actors, events and context are related and linked in the dynamic efforts to understand and combat corruption in international development endeavors. Context is linked to dynamics: foreign aid cycle, capture opportunities, context pressures, personal damages done, and control mechanisms exercised. Originality/value: The outcomes and quality of IDPs remain highly controversial, especially with perception of corruption by various stakeholders. Some experts recognize the inefficacy of applying classical PM tools and processes. By contrasting findings to the literature, the authors conclude that an alternative approach to overcome the taboos and prejudices in studying corruption is to ask a different research question. A research agenda is proposed for solving this phenomenon. To guide PM research on development projects, focusing on the “where and how” of corruption requires addressing how actors build their knowledge management capabilities, and address the social and cultural challenges inherent to IDPs. © 2022, Emerald Publishing Limited.},

note = {Publisher: Emerald Publishing},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{harnois_corruption_2022,

title = {Corruption and international development: a review of project management challenges},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111512703&doi=10.1108%2fJFC-06-2021-0128&partnerID=40&md5=2ecb328c9529640fe99f2e8db10f29f6},

doi = {10.1108/JFC-06-2021-0128},

issn = {13590790 (ISSN)},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Financial Crime},

volume = {29},

number = {3},

pages = {864–877},

abstract = {Purpose: The outcomes and quality of international development projects (IDPs) remain highly controversial, especially with perception of corruption by various stakeholders. This study aims to integrate findings from both social and administrative sciences to focus attention on the governance challenges involved in both business and public administration of such projects. It also asks to what extent Project Management (PM) methods can effectively be harmonized with broader anti-corruption initiative in both donor and receiving countries. Design/methodology/approach: Taking a transdisciplinary viewpoint, this study proposes a review and synthesis of the literature on the theoretical, methodological, and epistemological issues in researching corruption as a construct in PM as applied to IDPs. Findings: Some experts recognize the inefficacy of applying classical PM tools and processes. By contrasting the literature, this study concludes that an alternative approach to overcome the taboos and prejudice in studying corruption is to ask a different research question. As opposed to studying “who and why” about corruption occurrences (ex-post), given the challenge of unveiling its practices and motivations, PM researchers can to ask instead “where and how” it occurs and help understand methods to mitigate its effects on projects (ex-ante). Originality/value: A research agenda is proposed for the several disciplines and fields concerned with solving this phenomenon. To guide PM research on development projects, focusing on the “where and how” of corruption requires addressing how actors build their knowledge management capabilities and address the social and cultural challenges inherent to IDPs. © 2021, Emerald Publishing Limited.},

note = {Publisher: Emerald Group Holdings Ltd.},

keywords = {corruption, International development, Project management},

pubstate = {published},

tppubtype = {article}

}