Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Nosrati, S.; Motaghi, H.
The AI Complacency Model: Integrating Bounded Rationality and Information Processing Proceedings Article
In: Am. Conf. Inf. Syst., AMCIS, pp. 4590–4599, Association for Information Systems, 2025, ISBN: 979-833132774-3 (ISBN).
Abstract | Links | BibTeX | Tags: AI complacency, AI systems, Artificial intelligence, Behavioral research, Bounded rationality, Cognitive bias, cognitive biases, decision-making, Decisions makings, Heuristic processing, Human computer interaction, Human-AI interaction, information processing, Information systems, Information use, Perceived AI reliability, Reliability theory, Systematic processing, Vigilance
@inproceedings{nosrati_ai_2025,
title = {The AI Complacency Model: Integrating Bounded Rationality and Information Processing},
author = {S. Nosrati and H. Motaghi},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105025349267&partnerID=40&md5=14d676bedd3ea18921ed24a830889a8b},
isbn = {979-833132774-3 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Am. Conf. Inf. Syst., AMCIS},
volume = {7},
pages = {4590–4599},
publisher = {Association for Information Systems},
abstract = {This study addresses a critical gap in understanding why users exhibit reduced oversight when interacting with generative AI systems despite their known limitations. While existing research documents AI errors across domains, theoretical frameworks explaining the underlying psychological mechanisms remain underdeveloped. We propose a comprehensive model of AI complacency that extends beyond traditional automation complacency theories by integrating bounded rationality constraints with dual-process information processing models. Our framework demonstrates how Perceived AI Reliability triggers a shift from systematic to heuristic information processing, subsequently reducing vigilance and impairing task performance. The relationship between Perceived AI Reliability and information processing is moderated by three key factors derived from bounded rationality theory: knowledge limitations, cognitive processing capabilities, and time constraints. The proposed conceptual model of this study contributes to the literature by identifying unique psychological mechanisms underlying AI complacency, explaining the processing shifts in human-AI interaction, positioning vigilance as a critical mediating mechanism, and introducing the Vigilance-Reliability Matrix as a diagnostic tool for identifying different interaction patterns. This framework offers both theoretical insights and practical guidance for maintaining appropriate human oversight as AI systems become increasingly sophisticated and widespread across domains. Copyright © 2025 by Association for Information Systems (AIS). All rights reserved.},
keywords = {AI complacency, AI systems, Artificial intelligence, Behavioral research, Bounded rationality, Cognitive bias, cognitive biases, decision-making, Decisions makings, Heuristic processing, Human computer interaction, Human-AI interaction, information processing, Information systems, Information use, Perceived AI reliability, Reliability theory, Systematic processing, Vigilance},
pubstate = {published},
tppubtype = {inproceedings}
}
This study addresses a critical gap in understanding why users exhibit reduced oversight when interacting with generative AI systems despite their known limitations. While existing research documents AI errors across domains, theoretical frameworks explaining the underlying psychological mechanisms remain underdeveloped. We propose a comprehensive model of AI complacency that extends beyond traditional automation complacency theories by integrating bounded rationality constraints with dual-process information processing models. Our framework demonstrates how Perceived AI Reliability triggers a shift from systematic to heuristic information processing, subsequently reducing vigilance and impairing task performance. The relationship between Perceived AI Reliability and information processing is moderated by three key factors derived from bounded rationality theory: knowledge limitations, cognitive processing capabilities, and time constraints. The proposed conceptual model of this study contributes to the literature by identifying unique psychological mechanisms underlying AI complacency, explaining the processing shifts in human-AI interaction, positioning vigilance as a critical mediating mechanism, and introducing the Vigilance-Reliability Matrix as a diagnostic tool for identifying different interaction patterns. This framework offers both theoretical insights and practical guidance for maintaining appropriate human oversight as AI systems become increasingly sophisticated and widespread across domains. Copyright © 2025 by Association for Information Systems (AIS). All rights reserved.
2.
Nosrati, S.; Motaghi, H.
The AI Complacency Model: Integrating Bounded Rationality and Information Processing Proceedings Article
In: Am. Conf. Inf. Syst., AMCIS, pp. 4590–4599, Association for Information Systems, 2025, ISBN: 979-833132774-3 (ISBN), (Journal Abbreviation: Am. Conf. Inf. Syst., AMCIS).
Abstract | Links | BibTeX | Tags: AI complacency, AI systems, Artificial intelligence, Behavioral research, Bounded rationality, Cognitive bias, cognitive biases, decision-making, Decisions makings, Heuristic processing, Human computer interaction, Human-AI interaction, information processing, Information systems, Information use, Perceived AI reliability, Reliability theory, Systematic processing, Vigilance
@inproceedings{nosratiAIComplacencyModel2025,
title = {The AI Complacency Model: Integrating Bounded Rationality and Information Processing},
author = {S. Nosrati and H. Motaghi},
url = {https://www.scopus.com/pages/publications/105025349267?origin=resultslist},
isbn = {979-833132774-3 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Am. Conf. Inf. Syst., AMCIS},
volume = {7},
pages = {4590–4599},
publisher = {Association for Information Systems},
abstract = {This study addresses a critical gap in understanding why users exhibit reduced oversight when interacting with generative AI systems despite their known limitations. While existing research documents AI errors across domains, theoretical frameworks explaining the underlying psychological mechanisms remain underdeveloped. We propose a comprehensive model of AI complacency that extends beyond traditional automation complacency theories by integrating bounded rationality constraints with dual-process information processing models. Our framework demonstrates how Perceived AI Reliability triggers a shift from systematic to heuristic information processing, subsequently reducing vigilance and impairing task performance. The relationship between Perceived AI Reliability and information processing is moderated by three key factors derived from bounded rationality theory: knowledge limitations, cognitive processing capabilities, and time constraints. The proposed conceptual model of this study contributes to the literature by identifying unique psychological mechanisms underlying AI complacency, explaining the processing shifts in human-AI interaction, positioning vigilance as a critical mediating mechanism, and introducing the Vigilance-Reliability Matrix as a diagnostic tool for identifying different interaction patterns. This framework offers both theoretical insights and practical guidance for maintaining appropriate human oversight as AI systems become increasingly sophisticated and widespread across domains. Copyright © 2025 by Association for Information Systems (AIS). All rights reserved.},
note = {Journal Abbreviation: Am. Conf. Inf. Syst., AMCIS},
keywords = {AI complacency, AI systems, Artificial intelligence, Behavioral research, Bounded rationality, Cognitive bias, cognitive biases, decision-making, Decisions makings, Heuristic processing, Human computer interaction, Human-AI interaction, information processing, Information systems, Information use, Perceived AI reliability, Reliability theory, Systematic processing, Vigilance},
pubstate = {published},
tppubtype = {inproceedings}
}
This study addresses a critical gap in understanding why users exhibit reduced oversight when interacting with generative AI systems despite their known limitations. While existing research documents AI errors across domains, theoretical frameworks explaining the underlying psychological mechanisms remain underdeveloped. We propose a comprehensive model of AI complacency that extends beyond traditional automation complacency theories by integrating bounded rationality constraints with dual-process information processing models. Our framework demonstrates how Perceived AI Reliability triggers a shift from systematic to heuristic information processing, subsequently reducing vigilance and impairing task performance. The relationship between Perceived AI Reliability and information processing is moderated by three key factors derived from bounded rationality theory: knowledge limitations, cognitive processing capabilities, and time constraints. The proposed conceptual model of this study contributes to the literature by identifying unique psychological mechanisms underlying AI complacency, explaining the processing shifts in human-AI interaction, positioning vigilance as a critical mediating mechanism, and introducing the Vigilance-Reliability Matrix as a diagnostic tool for identifying different interaction patterns. This framework offers both theoretical insights and practical guidance for maintaining appropriate human oversight as AI systems become increasingly sophisticated and widespread across domains. Copyright © 2025 by Association for Information Systems (AIS). All rights reserved.
3.
Nosrati, S.; Motaghi, H.
The AI Complacency Model: Integrating Bounded Rationality and Information Processing Proceedings Article
In: Am. Conf. Inf. Syst., AMCIS, pp. 4590–4599, Association for Information Systems, 2025, ISBN: 979-833132774-3 (ISBN).
Abstract | Links | BibTeX | Tags: AI complacency, AI systems, Artificial intelligence, Behavioral research, Bounded rationality, Cognitive bias, cognitive biases, decision-making, Decisions makings, Heuristic processing, Human computer interaction, Human-AI interaction, information processing, Information systems, Information use, Perceived AI reliability, Reliability theory, Systematic processing, Vigilance
@inproceedings{nosratiAIComplacencyModel2025a,
title = {The AI Complacency Model: Integrating Bounded Rationality and Information Processing},
author = {S. Nosrati and H. Motaghi},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105025349267&partnerID=40&md5=14d676bedd3ea18921ed24a830889a8b},
isbn = {979-833132774-3 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Am. Conf. Inf. Syst., AMCIS},
volume = {7},
pages = {4590–4599},
publisher = {Association for Information Systems},
abstract = {This study addresses a critical gap in understanding why users exhibit reduced oversight when interacting with generative AI systems despite their known limitations. While existing research documents AI errors across domains, theoretical frameworks explaining the underlying psychological mechanisms remain underdeveloped. We propose a comprehensive model of AI complacency that extends beyond traditional automation complacency theories by integrating bounded rationality constraints with dual-process information processing models. Our framework demonstrates how Perceived AI Reliability triggers a shift from systematic to heuristic information processing, subsequently reducing vigilance and impairing task performance. The relationship between Perceived AI Reliability and information processing is moderated by three key factors derived from bounded rationality theory: knowledge limitations, cognitive processing capabilities, and time constraints. The proposed conceptual model of this study contributes to the literature by identifying unique psychological mechanisms underlying AI complacency, explaining the processing shifts in human-AI interaction, positioning vigilance as a critical mediating mechanism, and introducing the Vigilance-Reliability Matrix as a diagnostic tool for identifying different interaction patterns. This framework offers both theoretical insights and practical guidance for maintaining appropriate human oversight as AI systems become increasingly sophisticated and widespread across domains. Copyright © 2025 by Association for Information Systems (AIS). All rights reserved.},
keywords = {AI complacency, AI systems, Artificial intelligence, Behavioral research, Bounded rationality, Cognitive bias, cognitive biases, decision-making, Decisions makings, Heuristic processing, Human computer interaction, Human-AI interaction, information processing, Information systems, Information use, Perceived AI reliability, Reliability theory, Systematic processing, Vigilance},
pubstate = {published},
tppubtype = {inproceedings}
}
This study addresses a critical gap in understanding why users exhibit reduced oversight when interacting with generative AI systems despite their known limitations. While existing research documents AI errors across domains, theoretical frameworks explaining the underlying psychological mechanisms remain underdeveloped. We propose a comprehensive model of AI complacency that extends beyond traditional automation complacency theories by integrating bounded rationality constraints with dual-process information processing models. Our framework demonstrates how Perceived AI Reliability triggers a shift from systematic to heuristic information processing, subsequently reducing vigilance and impairing task performance. The relationship between Perceived AI Reliability and information processing is moderated by three key factors derived from bounded rationality theory: knowledge limitations, cognitive processing capabilities, and time constraints. The proposed conceptual model of this study contributes to the literature by identifying unique psychological mechanisms underlying AI complacency, explaining the processing shifts in human-AI interaction, positioning vigilance as a critical mediating mechanism, and introducing the Vigilance-Reliability Matrix as a diagnostic tool for identifying different interaction patterns. This framework offers both theoretical insights and practical guidance for maintaining appropriate human oversight as AI systems become increasingly sophisticated and widespread across domains. Copyright © 2025 by Association for Information Systems (AIS). All rights reserved.
4.
Masuda, Y.; Taylor, J.; Gagnon, S.; Raisinghani, M.; Jain, R.; Jacobson, I.
IS LEADERSHIP EDUCATION FOR SUSTAINABLE INNOVATION AND DIGITAL TRANSFORMATION: EFFECTIVENESS AND CHALLENGES Proceedings Article
In: Proc. AIS SIGED Int. Conf. Inf. Syst. Educ. Res., ICISER, Association for Information Systems, 2024.
Abstract | Links | BibTeX | Tags: Data quality, Digital Innovation, Digital innovations, Digital transformation, Education computing, Enterprise Architecture, Human resource management, Information systems, IS Community, IS leadership, Knowledge management, Leadership education, Rapid growth, Sustainability, sustainable development, Value creation, Workers'
@inproceedings{masuda_is_2024,
title = {IS LEADERSHIP EDUCATION FOR SUSTAINABLE INNOVATION AND DIGITAL TRANSFORMATION: EFFECTIVENESS AND CHALLENGES},
author = {Y. Masuda and J. Taylor and S. Gagnon and M. Raisinghani and R. Jain and I. Jacobson},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010296891&partnerID=40&md5=73b27057e28ff407e1a59116e34be23c},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. AIS SIGED Int. Conf. Inf. Syst. Educ. Res., ICISER},
publisher = {Association for Information Systems},
abstract = {The rapid growth of AI is enabling new capabilities for organizations in knowledge management and requiring new worker capabilities in value creation. New generative AI capabilities can facilitate improved data quality and better worker support. However, best practices for effective and safe use of generative AI are still being established. Scholars must continue to develop their curriculum and pedagogy to prepare students for these new challenges. This panel focuses on educating members for Sustainable Leadership positions in IS within the context of Digital Innovation and Transformation, utilizing the framework that encompasses Digital Strategy and Enterprise Architecture. © 2024 ICISER. All Rights Reserved.},
keywords = {Data quality, Digital Innovation, Digital innovations, Digital transformation, Education computing, Enterprise Architecture, Human resource management, Information systems, IS Community, IS leadership, Knowledge management, Leadership education, Rapid growth, Sustainability, sustainable development, Value creation, Workers'},
pubstate = {published},
tppubtype = {inproceedings}
}
The rapid growth of AI is enabling new capabilities for organizations in knowledge management and requiring new worker capabilities in value creation. New generative AI capabilities can facilitate improved data quality and better worker support. However, best practices for effective and safe use of generative AI are still being established. Scholars must continue to develop their curriculum and pedagogy to prepare students for these new challenges. This panel focuses on educating members for Sustainable Leadership positions in IS within the context of Digital Innovation and Transformation, utilizing the framework that encompasses Digital Strategy and Enterprise Architecture. © 2024 ICISER. All Rights Reserved.
5.
Masuda, Y.; Taylor, J.; Gagnon, S.; Raisinghani, M.; Jain, R.; Jacobson, I.
IS LEADERSHIP EDUCATION FOR SUSTAINABLE INNOVATION AND DIGITAL TRANSFORMATION: EFFECTIVENESS AND CHALLENGES Proceedings Article
In: Proc. AIS SIGED Int. Conf. Inf. Syst. Educ. Res., ICISER, Association for Information Systems, 2024.
Abstract | Links | BibTeX | Tags: Data quality, Digital Innovation, Digital innovations, Digital transformation, Education computing, Enterprise Architecture, Human resource management, Information systems, IS Community, IS leadership, Knowledge management, Leadership education, Rapid growth, Sustainability, sustainable development, Value creation, Workers'
@inproceedings{masudaLEADERSHIPEDUCATIONSUSTAINABLE2024,
title = {IS LEADERSHIP EDUCATION FOR SUSTAINABLE INNOVATION AND DIGITAL TRANSFORMATION: EFFECTIVENESS AND CHALLENGES},
author = {Y. Masuda and J. Taylor and S. Gagnon and M. Raisinghani and R. Jain and I. Jacobson},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010296891&partnerID=40&md5=73b27057e28ff407e1a59116e34be23c},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. AIS SIGED Int. Conf. Inf. Syst. Educ. Res., ICISER},
publisher = {Association for Information Systems},
abstract = {The rapid growth of AI is enabling new capabilities for organizations in knowledge management and requiring new worker capabilities in value creation. New generative AI capabilities can facilitate improved data quality and better worker support. However, best practices for effective and safe use of generative AI are still being established. Scholars must continue to develop their curriculum and pedagogy to prepare students for these new challenges. This panel focuses on educating members for Sustainable Leadership positions in IS within the context of Digital Innovation and Transformation, utilizing the framework that encompasses Digital Strategy and Enterprise Architecture. © 2024 ICISER. All Rights Reserved.},
keywords = {Data quality, Digital Innovation, Digital innovations, Digital transformation, Education computing, Enterprise Architecture, Human resource management, Information systems, IS Community, IS leadership, Knowledge management, Leadership education, Rapid growth, Sustainability, sustainable development, Value creation, Workers'},
pubstate = {published},
tppubtype = {inproceedings}
}
The rapid growth of AI is enabling new capabilities for organizations in knowledge management and requiring new worker capabilities in value creation. New generative AI capabilities can facilitate improved data quality and better worker support. However, best practices for effective and safe use of generative AI are still being established. Scholars must continue to develop their curriculum and pedagogy to prepare students for these new challenges. This panel focuses on educating members for Sustainable Leadership positions in IS within the context of Digital Innovation and Transformation, utilizing the framework that encompasses Digital Strategy and Enterprise Architecture. © 2024 ICISER. All Rights Reserved.
6.
Masuda, Y. Y. M.; Gagnon, S.; Jain, R.; Angle, J.
Architecture Strategy and Business Technology Management for Digital Leaders Proceedings Article
In: Int. Conf. Inf. Syst., ICIS: "Rising like Phoenix: Emerg. Pandemic Reshaping Hum. Endeavors Digit. Technol.", Association for Information Systems, 2023, ISBN: 978-171389362-2 (ISBN), (Journal Abbreviation: Int. Conf. Inf. Syst., ICIS: "Rising like Phoenix: Emerg. Pandemic Reshaping Hum. Endeavors Digit. Technol.").
Abstract | Links | BibTeX | Tags: Architecture frameworks, Business models, Business technology, Computer software reusability, Digital architecture, Digital innovations, Digital platforms, Digital transformation, Information systems, Information use, Program accreditation, Success factors, Technology managements
@inproceedings{masuda_architecture_2023,
title = {Architecture Strategy and Business Technology Management for Digital Leaders},
author = {Y. Y. M. Masuda and S. Gagnon and R. Jain and J. Angle},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192547734&partnerID=40&md5=c52c054629015d8682d1c9f804094af6},
isbn = {978-171389362-2 (ISBN)},
year = {2023},
date = {2023-01-01},
booktitle = {Int. Conf. Inf. Syst., ICIS: "Rising like Phoenix: Emerg. Pandemic Reshaping Hum. Endeavors Digit. Technol."},
publisher = {Association for Information Systems},
abstract = {We invite Information Systems (IS) educators, program chairs, and school executives to discuss and explore how to best prepare the next generation of digital leaders, in particular architecture strategy as enabler of digital transformation and innovation. Global companies proceed with Digital Transformation as a strategy to improve their business model with digital platforms efficiency to enhance competitive. Previous research has identified leadership as one critical success factor for Digital Transformation strategy. To stimulate this discussion, they will discover the Architecture Strategy of Digital Transformation with Adaptive Integrated Digital Architecture Framework (AIDAF) and Business Technology Management (BTM), a Canadian program accreditation standard, as well as a Body of Knowledge (BOK) outlining a vision for future digital leadership competencies. This workshop will allow for a review of various digital leadership competency frameworks and engage participants to become active contributors in their development, reuse, and adoption by IS programs internationally. © 2023 International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Hu. All Rights Reserved.},
note = {Journal Abbreviation: Int. Conf. Inf. Syst., ICIS: "Rising like Phoenix: Emerg. Pandemic Reshaping Hum. Endeavors Digit. Technol."},
keywords = {Architecture frameworks, Business models, Business technology, Computer software reusability, Digital architecture, Digital innovations, Digital platforms, Digital transformation, Information systems, Information use, Program accreditation, Success factors, Technology managements},
pubstate = {published},
tppubtype = {inproceedings}
}
We invite Information Systems (IS) educators, program chairs, and school executives to discuss and explore how to best prepare the next generation of digital leaders, in particular architecture strategy as enabler of digital transformation and innovation. Global companies proceed with Digital Transformation as a strategy to improve their business model with digital platforms efficiency to enhance competitive. Previous research has identified leadership as one critical success factor for Digital Transformation strategy. To stimulate this discussion, they will discover the Architecture Strategy of Digital Transformation with Adaptive Integrated Digital Architecture Framework (AIDAF) and Business Technology Management (BTM), a Canadian program accreditation standard, as well as a Body of Knowledge (BOK) outlining a vision for future digital leadership competencies. This workshop will allow for a review of various digital leadership competency frameworks and engage participants to become active contributors in their development, reuse, and adoption by IS programs internationally. © 2023 International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Hu. All Rights Reserved.
7.
Masuda, Y. Y. M.; Gagnon, S.; Jain, R.; Angle, J.
Architecture Strategy and Business Technology Management for Digital Leaders Proceedings Article
In: Int. Conf. Inf. Syst., ICIS: "Rising like Phoenix: Emerg. Pandemic Reshaping Hum. Endeavors Digit. Technol.", Association for Information Systems, 2023, ISBN: 978-171389362-2 (ISBN), (Journal Abbreviation: Int. Conf. Inf. Syst., ICIS: "Rising like Phoenix: Emerg. Pandemic Reshaping Hum. Endeavors Digit. Technol.").
Abstract | Links | BibTeX | Tags: Architecture frameworks, Business models, Business technology, Computer software reusability, Digital architecture, Digital innovations, Digital platforms, Digital transformation, Information systems, Information use, Program accreditation, Success factors, Technology managements
@inproceedings{masudaArchitectureStrategyBusiness2023,
title = {Architecture Strategy and Business Technology Management for Digital Leaders},
author = {Y. Y. M. Masuda and S. Gagnon and R. Jain and J. Angle},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192547734&partnerID=40&md5=c52c054629015d8682d1c9f804094af6},
isbn = {978-171389362-2 (ISBN)},
year = {2023},
date = {2023-01-01},
booktitle = {Int. Conf. Inf. Syst., ICIS: "Rising like Phoenix: Emerg. Pandemic Reshaping Hum. Endeavors Digit. Technol."},
publisher = {Association for Information Systems},
abstract = {We invite Information Systems (IS) educators, program chairs, and school executives to discuss and explore how to best prepare the next generation of digital leaders, in particular architecture strategy as enabler of digital transformation and innovation. Global companies proceed with Digital Transformation as a strategy to improve their business model with digital platforms efficiency to enhance competitive. Previous research has identified leadership as one critical success factor for Digital Transformation strategy. To stimulate this discussion, they will discover the Architecture Strategy of Digital Transformation with Adaptive Integrated Digital Architecture Framework (AIDAF) and Business Technology Management (BTM), a Canadian program accreditation standard, as well as a Body of Knowledge (BOK) outlining a vision for future digital leadership competencies. This workshop will allow for a review of various digital leadership competency frameworks and engage participants to become active contributors in their development, reuse, and adoption by IS programs internationally. © 2023 International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Hu. All Rights Reserved.},
note = {Journal Abbreviation: Int. Conf. Inf. Syst., ICIS: "Rising like Phoenix: Emerg. Pandemic Reshaping Hum. Endeavors Digit. Technol."},
keywords = {Architecture frameworks, Business models, Business technology, Computer software reusability, Digital architecture, Digital innovations, Digital platforms, Digital transformation, Information systems, Information use, Program accreditation, Success factors, Technology managements},
pubstate = {published},
tppubtype = {inproceedings}
}
We invite Information Systems (IS) educators, program chairs, and school executives to discuss and explore how to best prepare the next generation of digital leaders, in particular architecture strategy as enabler of digital transformation and innovation. Global companies proceed with Digital Transformation as a strategy to improve their business model with digital platforms efficiency to enhance competitive. Previous research has identified leadership as one critical success factor for Digital Transformation strategy. To stimulate this discussion, they will discover the Architecture Strategy of Digital Transformation with Adaptive Integrated Digital Architecture Framework (AIDAF) and Business Technology Management (BTM), a Canadian program accreditation standard, as well as a Body of Knowledge (BOK) outlining a vision for future digital leadership competencies. This workshop will allow for a review of various digital leadership competency frameworks and engage participants to become active contributors in their development, reuse, and adoption by IS programs internationally. © 2023 International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Hu. All Rights Reserved.
8.
Masuda, Y.; Gagnon, S.; Zimmermann, A.; Jain, R.; Schmidt, R.
ARCHITECTURE FOR DIGITAL TRANSFORMATION TOWARD IS LEADERSHIP EDUCATION: CHALLENGES AND EFFECTIVENESS PANEL Proceedings Article
In: AIS SIGED International Conference on Information Systems Education and Research 2022, pp. 102–104, Association for Information Systems, 2022, ISBN: 978-171387106-4 (ISBN), (Journal Abbreviation: AIS SIGED Int. Conf. Inf. Syst. Educ. Res.).
Abstract | Links | BibTeX | Tags: Architecture frameworks, Collaborative research, Digital enterprise, Digital strategies, Digital Strategy, Digital transformation, E-learning, Education research, Enterprise Architecture, Information systems, Information use, IS education, IS educations, IS leadership, Leadership education
@inproceedings{masuda_architecture_2022,
title = {ARCHITECTURE FOR DIGITAL TRANSFORMATION TOWARD IS LEADERSHIP EDUCATION: CHALLENGES AND EFFECTIVENESS PANEL},
author = {Y. Masuda and S. Gagnon and A. Zimmermann and R. Jain and R. Schmidt},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158958827&partnerID=40&md5=9ae161383d9604e07bd0f33ad6d6fadf},
isbn = {978-171387106-4 (ISBN)},
year = {2022},
date = {2022-01-01},
booktitle = {AIS SIGED International Conference on Information Systems Education and Research 2022},
pages = {102–104},
publisher = {Association for Information Systems},
abstract = {This panel is related to the education for the practice of IS Leadership roles in Digital Transformation within a given framework of Digital Strategy and Enterprise Architecture. As members of education and collaborative research teams that have been studying and teaching the correct direction of IS leadership roles in Digital Transformation in global enterprises while applying Digital Enterprise Architecture (DEA) Framework – the “Adaptive Integrated Digital Architecture Framework (AIDAF)” with DEA Cube Framework, because the above roles have difficulties and a number of risks especially during Digital Transformation. Thus, the panelists will discuss and debate the theory, practice, and extent of educator’s precise guidance and considerations when performing the aforementioned leadership roles and studying their accurate directions during Digital Transformation. This panel of senior IS educators and researchers with industry experience will discuss the challenges and effectiveness of “Architecture for Digital Transformation Toward IS Leadership Education” for the new era of Digital IT. © (2022) by Association for Information Systems (AIS) All rights reserved.},
note = {Journal Abbreviation: AIS SIGED Int. Conf. Inf. Syst. Educ. Res.},
keywords = {Architecture frameworks, Collaborative research, Digital enterprise, Digital strategies, Digital Strategy, Digital transformation, E-learning, Education research, Enterprise Architecture, Information systems, Information use, IS education, IS educations, IS leadership, Leadership education},
pubstate = {published},
tppubtype = {inproceedings}
}
This panel is related to the education for the practice of IS Leadership roles in Digital Transformation within a given framework of Digital Strategy and Enterprise Architecture. As members of education and collaborative research teams that have been studying and teaching the correct direction of IS leadership roles in Digital Transformation in global enterprises while applying Digital Enterprise Architecture (DEA) Framework – the “Adaptive Integrated Digital Architecture Framework (AIDAF)” with DEA Cube Framework, because the above roles have difficulties and a number of risks especially during Digital Transformation. Thus, the panelists will discuss and debate the theory, practice, and extent of educator’s precise guidance and considerations when performing the aforementioned leadership roles and studying their accurate directions during Digital Transformation. This panel of senior IS educators and researchers with industry experience will discuss the challenges and effectiveness of “Architecture for Digital Transformation Toward IS Leadership Education” for the new era of Digital IT. © (2022) by Association for Information Systems (AIS) All rights reserved.
9.
Gagnon, S.
Digital Project Leadership and Talent Management in the As-Practice Perspective Proceedings Article
In: Am. Conf. Inf. Syst., AMCIS, Association for Information Systems, 2022, ISBN: 978-195820000-1 (ISBN), (Journal Abbreviation: Am. Conf. Inf. Syst., AMCIS).
Abstract | Links | BibTeX | Tags: Blending, Business strategy, Digital transformation, Human resource management, Information systems, Information use, Practice perspectives, Project as practices, Project leaders, Project Leadership, Project-as-Practice, Seamless integration, Strategy as practices, Strategy-as-Practice, Talent management, Technology strategies
@inproceedings{gagnon_digital_2022,
title = {Digital Project Leadership and Talent Management in the As-Practice Perspective},
author = {S. Gagnon},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192551700&partnerID=40&md5=f5cecb552f66b1aa348320e6aa2f84b2},
isbn = {978-195820000-1 (ISBN)},
year = {2022},
date = {2022-01-01},
booktitle = {Am. Conf. Inf. Syst., AMCIS},
publisher = {Association for Information Systems},
abstract = {Digital Transformation studies have emphasized the emergence of new post-alignment challenges with a more seamless integration of business and technology strategies. Project leaders face more complex tasks, requiring hybrid skillsets, blending business and technology expertise, and spanning operational and strategic levels. The research question motivating this review is: how can IT executives best identify and position IT professionals and managers to fit digital leadership roles? These challenges are directly linked to Talent Management (TM) practices to help coach project teams and managers in developing digital leadership competencies. A brief literature review is presented, grounded in theoretical perspectives that link these competencies to IT and digital strategy outcomes. A model is proposed to integrate the literature around Strategy-as-Practice and Project-as-Practice serving as broader theoretical canvas. The conclusion proposes a research agenda to help integrate TM with digital leadership and encourage new empirical studies of digital projects in the “as-practice” perspective. © 2022 28th Americas Conference on Information Systems, AMCIS 2022. All Rights Reserved.},
note = {Journal Abbreviation: Am. Conf. Inf. Syst., AMCIS},
keywords = {Blending, Business strategy, Digital transformation, Human resource management, Information systems, Information use, Practice perspectives, Project as practices, Project leaders, Project Leadership, Project-as-Practice, Seamless integration, Strategy as practices, Strategy-as-Practice, Talent management, Technology strategies},
pubstate = {published},
tppubtype = {inproceedings}
}
Digital Transformation studies have emphasized the emergence of new post-alignment challenges with a more seamless integration of business and technology strategies. Project leaders face more complex tasks, requiring hybrid skillsets, blending business and technology expertise, and spanning operational and strategic levels. The research question motivating this review is: how can IT executives best identify and position IT professionals and managers to fit digital leadership roles? These challenges are directly linked to Talent Management (TM) practices to help coach project teams and managers in developing digital leadership competencies. A brief literature review is presented, grounded in theoretical perspectives that link these competencies to IT and digital strategy outcomes. A model is proposed to integrate the literature around Strategy-as-Practice and Project-as-Practice serving as broader theoretical canvas. The conclusion proposes a research agenda to help integrate TM with digital leadership and encourage new empirical studies of digital projects in the “as-practice” perspective. © 2022 28th Americas Conference on Information Systems, AMCIS 2022. All Rights Reserved.
10.
Masuda, Y.; Gagnon, S.; Zimmermann, A.; Jain, R.; Schmidt, R.
ARCHITECTURE FOR DIGITAL TRANSFORMATION TOWARD IS LEADERSHIP EDUCATION: CHALLENGES AND EFFECTIVENESS PANEL Proceedings Article
In: AIS SIGED International Conference on Information Systems Education and Research 2022, pp. 102–104, Association for Information Systems, 2022, ISBN: 978-171387106-4 (ISBN), (Journal Abbreviation: AIS SIGED Int. Conf. Inf. Syst. Educ. Res.).
Abstract | Links | BibTeX | Tags: Architecture frameworks, Collaborative research, Digital enterprise, Digital strategies, Digital Strategy, Digital transformation, E-learning, Education research, Enterprise Architecture, Information systems, Information use, IS education, IS educations, IS leadership, Leadership education
@inproceedings{masudaARCHITECTUREDIGITALTRANSFORMATION2022,
title = {ARCHITECTURE FOR DIGITAL TRANSFORMATION TOWARD IS LEADERSHIP EDUCATION: CHALLENGES AND EFFECTIVENESS PANEL},
author = {Y. Masuda and S. Gagnon and A. Zimmermann and R. Jain and R. Schmidt},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158958827&partnerID=40&md5=9ae161383d9604e07bd0f33ad6d6fadf},
isbn = {978-171387106-4 (ISBN)},
year = {2022},
date = {2022-01-01},
booktitle = {AIS SIGED International Conference on Information Systems Education and Research 2022},
pages = {102–104},
publisher = {Association for Information Systems},
abstract = {This panel is related to the education for the practice of IS Leadership roles in Digital Transformation within a given framework of Digital Strategy and Enterprise Architecture. As members of education and collaborative research teams that have been studying and teaching the correct direction of IS leadership roles in Digital Transformation in global enterprises while applying Digital Enterprise Architecture (DEA) Framework – the “Adaptive Integrated Digital Architecture Framework (AIDAF)” with DEA Cube Framework, because the above roles have difficulties and a number of risks especially during Digital Transformation. Thus, the panelists will discuss and debate the theory, practice, and extent of educator’s precise guidance and considerations when performing the aforementioned leadership roles and studying their accurate directions during Digital Transformation. This panel of senior IS educators and researchers with industry experience will discuss the challenges and effectiveness of “Architecture for Digital Transformation Toward IS Leadership Education” for the new era of Digital IT. © (2022) by Association for Information Systems (AIS) All rights reserved.},
note = {Journal Abbreviation: AIS SIGED Int. Conf. Inf. Syst. Educ. Res.},
keywords = {Architecture frameworks, Collaborative research, Digital enterprise, Digital strategies, Digital Strategy, Digital transformation, E-learning, Education research, Enterprise Architecture, Information systems, Information use, IS education, IS educations, IS leadership, Leadership education},
pubstate = {published},
tppubtype = {inproceedings}
}
This panel is related to the education for the practice of IS Leadership roles in Digital Transformation within a given framework of Digital Strategy and Enterprise Architecture. As members of education and collaborative research teams that have been studying and teaching the correct direction of IS leadership roles in Digital Transformation in global enterprises while applying Digital Enterprise Architecture (DEA) Framework – the “Adaptive Integrated Digital Architecture Framework (AIDAF)” with DEA Cube Framework, because the above roles have difficulties and a number of risks especially during Digital Transformation. Thus, the panelists will discuss and debate the theory, practice, and extent of educator’s precise guidance and considerations when performing the aforementioned leadership roles and studying their accurate directions during Digital Transformation. This panel of senior IS educators and researchers with industry experience will discuss the challenges and effectiveness of “Architecture for Digital Transformation Toward IS Leadership Education” for the new era of Digital IT. © (2022) by Association for Information Systems (AIS) All rights reserved.