Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Irikefe, P. O.; Falahat, M.; Zainudin, A. D.; Motaghi, H.
Dans: Journal of Cleaner Production, vol. 574, 2026, ISSN: 09596526 (ISSN).
Résumé | Liens | BibTeX | Étiquettes: Digital readiness, Dynamic capabilities theory, Dynamic capability theory, Dynamics capability, Efficiency, Entrepreneurial leadership, Environmental management, Financial inclusion, Financial inclusions, Information use, Investments, Management efficiency, Resource allocation, Resource management, Resource management efficiency, Responsible Consumption and production (SDG 12), sustainable development, Triple Bottom Line, Triple-bottom-line sustainability
@article{irikefeEntrepreneurialLeadershipResource2026,
title = {Entrepreneurial leadership and resource management efficiency as necessary conditions for SME sustainability: A moderated mediation analysis of digital readiness and financial inclusion},
author = {P. O. Irikefe and M. Falahat and A. D. Zainudin and H. Motaghi},
url = {https://www.scopus.com/pages/publications/105046462855?origin=resultslist},
doi = {10.1016/j.jclepro.2026.149116},
issn = {09596526 (ISSN)},
year = {2026},
date = {2026-01-01},
journal = {Journal of Cleaner Production},
volume = {574},
publisher = {Elsevier Ltd},
abstract = {Small and medium enterprises (SMEs) are central to employment and value creation, yet pressures from sustainability transition expose endemic financing frictions and uneven digital readiness (DR), particularly in emerging markets. This study examines how SME capabilities viz.: entrepreneurial leadership (EL) and resource management efficiency (RME) associate with triple-bottom-line (TBL) sustainability across economic (ECOS), environmental (ENVS), and social (SOCS) pillars, whether firm-level financial inclusion (FI) statistically mediates capability-to-TBL associations, and whether DR conditions these associations. Using survey data from 429 Malaysian SMEs, we apply a sequential analytics design: Partial Least Square-Structural Equation Modelling to test direct, mediated, and interaction effects; followed by Necessary Condition Analysis (NCA) and Importance-Performance Map Analysis in the bid to identify bottlenecks and practical priorities. Results show that EL is positively associated with ECOS, ENVS, and SOCS; whereas RME is strongly positively associated with ECOS and ENVS but is not significant for SOCS. FI is TBL pillar-asymmetric: it bolsters ENVS and SOCS but exhibits a negative effect on ECOS, and the mediated effects through FI mirror the pattern. DR significantly strengthens the FI to TBL pathways, yet conditional indirect effects indicate that high DR can neutralise FI's economic drag without reliably improving ECOS. NCA sharpens the conclusion: high ECOS is unattainable without RME, while high ENVS and SOCS require EL-RME-FI jointly; DR is not a robust necessity condition. Practically, SMEs should tighten efficiency routines first, mobilise leadership for adoption, channel finance through verified upgrading milestones and invest in DR only where it improves monitoring, traceability and compliance. Copyright © 2026. Published by Elsevier Ltd.},
keywords = {Digital readiness, Dynamic capabilities theory, Dynamic capability theory, Dynamics capability, Efficiency, Entrepreneurial leadership, Environmental management, Financial inclusion, Financial inclusions, Information use, Investments, Management efficiency, Resource allocation, Resource management, Resource management efficiency, Responsible Consumption and production (SDG 12), sustainable development, Triple Bottom Line, Triple-bottom-line sustainability},
pubstate = {published},
tppubtype = {article}
}
Small and medium enterprises (SMEs) are central to employment and value creation, yet pressures from sustainability transition expose endemic financing frictions and uneven digital readiness (DR), particularly in emerging markets. This study examines how SME capabilities viz.: entrepreneurial leadership (EL) and resource management efficiency (RME) associate with triple-bottom-line (TBL) sustainability across economic (ECOS), environmental (ENVS), and social (SOCS) pillars, whether firm-level financial inclusion (FI) statistically mediates capability-to-TBL associations, and whether DR conditions these associations. Using survey data from 429 Malaysian SMEs, we apply a sequential analytics design: Partial Least Square-Structural Equation Modelling to test direct, mediated, and interaction effects; followed by Necessary Condition Analysis (NCA) and Importance-Performance Map Analysis in the bid to identify bottlenecks and practical priorities. Results show that EL is positively associated with ECOS, ENVS, and SOCS; whereas RME is strongly positively associated with ECOS and ENVS but is not significant for SOCS. FI is TBL pillar-asymmetric: it bolsters ENVS and SOCS but exhibits a negative effect on ECOS, and the mediated effects through FI mirror the pattern. DR significantly strengthens the FI to TBL pathways, yet conditional indirect effects indicate that high DR can neutralise FI's economic drag without reliably improving ECOS. NCA sharpens the conclusion: high ECOS is unattainable without RME, while high ENVS and SOCS require EL-RME-FI jointly; DR is not a robust necessity condition. Practically, SMEs should tighten efficiency routines first, mobilise leadership for adoption, channel finance through verified upgrading milestones and invest in DR only where it improves monitoring, traceability and compliance. Copyright © 2026. Published by Elsevier Ltd.
2.
Noor, A. F. Mohamed; Moghavvemi, S.; Tajudeen, F. P.; Motaghi, H.; Salehi, A.
Cybersecurity Readiness: A Review via Dynamic Capabilities Article d'actes
Dans: M., Myers; R.A., Alias; W.F., Boh (Ed.): Pac. Asia Conf. Inf. Syst., Association for Information Systems, 2025, ISBN: 26896354 (ISSN).
Résumé | Liens | BibTeX | Étiquettes: Cybersecurity, dynamic capabilities, information security management, organizational cybersecurity, readiness
@inproceedings{mohamed_noor_cybersecurity_2025,
title = {Cybersecurity Readiness: A Review via Dynamic Capabilities},
author = {A. F. Mohamed Noor and S. Moghavvemi and F. P. Tajudeen and H. Motaghi and A. Salehi},
editor = {Myers M. and Alias R.A. and Boh W.F.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105029273577&partnerID=40&md5=2d20002e3605f51d6e87bd24f7af0cc0},
isbn = {26896354 (ISSN)},
year = {2025},
date = {2025-01-01},
booktitle = {Pac. Asia Conf. Inf. Syst.},
publisher = {Association for Information Systems},
abstract = {Understanding the factors influencing cybersecurity readiness is crucial for strategic investment in cyber capabilities. However, there is a gap in applying Dynamic Capabilities (DC) theory, which focuses on organizational agility in adapting to changing environments. This study fills this gap by using DC theory to analyze and categorize existing literature, offering a framework to classify cybersecurity readiness factors across different stages. This approach enhances our understanding of how organizations maintain a competitive edge amidst evolving cyber threats. The study addresses the following research question: What are the key factors influencing cybersecurity readiness in organizations, as discussed in literature from 2014 to 2023? Utilizing a thematic review with Atlas.ti 23, it examines literature from 2014 to 2023, providing a broad perspective on relevant factors. By applying DC theory, this research offers valuable insights for academics, organizations, and policymakers, aiding in strategy development and informed policymaking. © 2025, Association for Information Systems. All rights reserved.},
keywords = {Cybersecurity, dynamic capabilities, information security management, organizational cybersecurity, readiness},
pubstate = {published},
tppubtype = {inproceedings}
}
Understanding the factors influencing cybersecurity readiness is crucial for strategic investment in cyber capabilities. However, there is a gap in applying Dynamic Capabilities (DC) theory, which focuses on organizational agility in adapting to changing environments. This study fills this gap by using DC theory to analyze and categorize existing literature, offering a framework to classify cybersecurity readiness factors across different stages. This approach enhances our understanding of how organizations maintain a competitive edge amidst evolving cyber threats. The study addresses the following research question: What are the key factors influencing cybersecurity readiness in organizations, as discussed in literature from 2014 to 2023? Utilizing a thematic review with Atlas.ti 23, it examines literature from 2014 to 2023, providing a broad perspective on relevant factors. By applying DC theory, this research offers valuable insights for academics, organizations, and policymakers, aiding in strategy development and informed policymaking. © 2025, Association for Information Systems. All rights reserved.
3.
Nosrati, S.; Motaghi, H.
The AI Complacency Model: Integrating Bounded Rationality and Information Processing Article d'actes
Dans: Am. Conf. Inf. Syst., AMCIS, p. 4590–4599, Association for Information Systems, 2025, ISBN: 979-833132774-3 (ISBN).
Résumé | Liens | BibTeX | Étiquettes: 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.
4.
Nosrati, S.; Motaghi, H.
The AI Complacency Model: Integrating Bounded Rationality and Information Processing Article d'actes
Dans: Am. Conf. Inf. Syst., AMCIS, p. 4590–4599, Association for Information Systems, 2025, ISBN: 979-833132774-3 (ISBN), (Journal Abbreviation: Am. Conf. Inf. Syst., AMCIS).
Résumé | Liens | BibTeX | Étiquettes: 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.
5.
Noor, A. F. Mohamed; Moghavvemi, S.; Tajudeen, F. P.; Motaghi, H.; Salehi, A.
Cybersecurity Readiness: A Review via Dynamic Capabilities Article d'actes
Dans: M., Myers; R.A., Alias; W.F., Boh (Ed.): Pac. Asia Conf. Inf. Syst., Association for Information Systems, 2025, ISBN: 26896354 (ISSN), (Journal Abbreviation: Pac. Asia Conf. Inf. Syst.).
Résumé | Liens | BibTeX | Étiquettes: Cybersecurity, dynamic capabilities, information security management, organizational cybersecurity, readiness
@inproceedings{mohamednoorCybersecurityReadinessReview2025,
title = {Cybersecurity Readiness: A Review via Dynamic Capabilities},
author = {A. F. Mohamed Noor and S. Moghavvemi and F. P. Tajudeen and H. Motaghi and A. Salehi},
editor = {Myers M. and Alias R.A. and Boh W.F.},
url = {https://www.scopus.com/pages/publications/105029273577?origin=resultslist},
isbn = {26896354 (ISSN)},
year = {2025},
date = {2025-01-01},
booktitle = {Pac. Asia Conf. Inf. Syst.},
publisher = {Association for Information Systems},
abstract = {Understanding the factors influencing cybersecurity readiness is crucial for strategic investment in cyber capabilities. However, there is a gap in applying Dynamic Capabilities (DC) theory, which focuses on organizational agility in adapting to changing environments. This study fills this gap by using DC theory to analyze and categorize existing literature, offering a framework to classify cybersecurity readiness factors across different stages. This approach enhances our understanding of how organizations maintain a competitive edge amidst evolving cyber threats. The study addresses the following research question: What are the key factors influencing cybersecurity readiness in organizations, as discussed in literature from 2014 to 2023? Utilizing a thematic review with Atlas.ti 23, it examines literature from 2014 to 2023, providing a broad perspective on relevant factors. By applying DC theory, this research offers valuable insights for academics, organizations, and policymakers, aiding in strategy development and informed policymaking. © 2025, Association for Information Systems. All rights reserved.},
note = {Journal Abbreviation: Pac. Asia Conf. Inf. Syst.},
keywords = {Cybersecurity, dynamic capabilities, information security management, organizational cybersecurity, readiness},
pubstate = {published},
tppubtype = {inproceedings}
}
Understanding the factors influencing cybersecurity readiness is crucial for strategic investment in cyber capabilities. However, there is a gap in applying Dynamic Capabilities (DC) theory, which focuses on organizational agility in adapting to changing environments. This study fills this gap by using DC theory to analyze and categorize existing literature, offering a framework to classify cybersecurity readiness factors across different stages. This approach enhances our understanding of how organizations maintain a competitive edge amidst evolving cyber threats. The study addresses the following research question: What are the key factors influencing cybersecurity readiness in organizations, as discussed in literature from 2014 to 2023? Utilizing a thematic review with Atlas.ti 23, it examines literature from 2014 to 2023, providing a broad perspective on relevant factors. By applying DC theory, this research offers valuable insights for academics, organizations, and policymakers, aiding in strategy development and informed policymaking. © 2025, Association for Information Systems. All rights reserved.
6.
Nosrati, S.; Motaghi, H.
The AI Complacency Model: Integrating Bounded Rationality and Information Processing Article d'actes
Dans: Am. Conf. Inf. Syst., AMCIS, p. 4590–4599, Association for Information Systems, 2025, ISBN: 979-833132774-3 (ISBN).
Résumé | Liens | BibTeX | Étiquettes: 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.
7.
Noor, A. F. Mohamed; Moghavvemi, S.; Tajudeen, F. P.; Motaghi, H.; Salehi, A.
Cybersecurity Readiness: A Review via Dynamic Capabilities Article d'actes
Dans: M., Myers; R.A., Alias; W.F., Boh (Ed.): Pac. Asia Conf. Inf. Syst., Association for Information Systems, 2025, ISBN: 26896354 (ISSN).
Résumé | Liens | BibTeX | Étiquettes: Cybersecurity, dynamic capabilities, information security management, organizational cybersecurity, readiness
@inproceedings{mohamednoorCybersecurityReadinessReview2025a,
title = {Cybersecurity Readiness: A Review via Dynamic Capabilities},
author = {A. F. Mohamed Noor and S. Moghavvemi and F. P. Tajudeen and H. Motaghi and A. Salehi},
editor = {Myers M. and Alias R.A. and Boh W.F.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105029273577&partnerID=40&md5=2d20002e3605f51d6e87bd24f7af0cc0},
isbn = {26896354 (ISSN)},
year = {2025},
date = {2025-01-01},
booktitle = {Pac. Asia Conf. Inf. Syst.},
publisher = {Association for Information Systems},
abstract = {Understanding the factors influencing cybersecurity readiness is crucial for strategic investment in cyber capabilities. However, there is a gap in applying Dynamic Capabilities (DC) theory, which focuses on organizational agility in adapting to changing environments. This study fills this gap by using DC theory to analyze and categorize existing literature, offering a framework to classify cybersecurity readiness factors across different stages. This approach enhances our understanding of how organizations maintain a competitive edge amidst evolving cyber threats. The study addresses the following research question: What are the key factors influencing cybersecurity readiness in organizations, as discussed in literature from 2014 to 2023? Utilizing a thematic review with Atlas.ti 23, it examines literature from 2014 to 2023, providing a broad perspective on relevant factors. By applying DC theory, this research offers valuable insights for academics, organizations, and policymakers, aiding in strategy development and informed policymaking. © 2025, Association for Information Systems. All rights reserved.},
keywords = {Cybersecurity, dynamic capabilities, information security management, organizational cybersecurity, readiness},
pubstate = {published},
tppubtype = {inproceedings}
}
Understanding the factors influencing cybersecurity readiness is crucial for strategic investment in cyber capabilities. However, there is a gap in applying Dynamic Capabilities (DC) theory, which focuses on organizational agility in adapting to changing environments. This study fills this gap by using DC theory to analyze and categorize existing literature, offering a framework to classify cybersecurity readiness factors across different stages. This approach enhances our understanding of how organizations maintain a competitive edge amidst evolving cyber threats. The study addresses the following research question: What are the key factors influencing cybersecurity readiness in organizations, as discussed in literature from 2014 to 2023? Utilizing a thematic review with Atlas.ti 23, it examines literature from 2014 to 2023, providing a broad perspective on relevant factors. By applying DC theory, this research offers valuable insights for academics, organizations, and policymakers, aiding in strategy development and informed policymaking. © 2025, Association for Information Systems. All rights reserved.
8.
Nosratabadi, S.; Bahrami, P.; Motaghi, H.; Yusof, M.; Kharuddin, A. F.
How Do Human Capital Empowerments Constitute the Organizational Performance? Article de journal
Dans: Lecture Notes in Networks and Systems, vol. 487, p. 467–481, 2023, ISSN: 23673370, (ISBN: 9783031080838).
Résumé | Liens | BibTeX | Étiquettes:
@article{nosratabadi_how_2023,
title = {How Do Human Capital Empowerments Constitute the Organizational Performance?},
author = {S. Nosratabadi and P. Bahrami and H. Motaghi and M. Yusof and A. F. Kharuddin},
editor = {Hamdan A. Alareeni B.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135086416&doi=10.1007%2f978-3-031-08084-5_34&partnerID=40&md5=79b9b99499ef514ac67bc2b3abe8a0a5},
doi = {10.1007/978-3-031-08084-5_34},
issn = {23673370},
year = {2023},
date = {2023-01-01},
journal = {Lecture Notes in Networks and Systems},
volume = {487},
pages = {467–481},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {Much research has proven the effect of human capital on the organizational performance; the present study demonstrates how this causal relationship take place in the reality. In other words, in this research, first, organizational factors that cause human capital to flourish and be empowered are identified, and then their effects on the factors that shape the performance of an organization are identified. Hence, the main objective of this study was to examine the impact of the organizational factors empowering human capital on the organizational performance enablers. To do so, a questionnaire is administrated and Linear regression analysis using SPSS 22.0 applied for data analysis. According to the results, human capital empowerment factors have a statistically significant impact on the performance enablers. Finding disclosed that an effective performance evaluation system and effective leadership, which empower human capital in the organization, have a positive significant effect on the organizational performance. The findings indicate that organizations with an effective performance appraisal system and effective leadership not only provide a platform in which human capital is identified and grown, but also improve the factors that shape the performance of an organization. This research contributes to the literature on human resources, human capital, organizational management, and ultimately organizational performance. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
note = {ISBN: 9783031080838},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Much research has proven the effect of human capital on the organizational performance; the present study demonstrates how this causal relationship take place in the reality. In other words, in this research, first, organizational factors that cause human capital to flourish and be empowered are identified, and then their effects on the factors that shape the performance of an organization are identified. Hence, the main objective of this study was to examine the impact of the organizational factors empowering human capital on the organizational performance enablers. To do so, a questionnaire is administrated and Linear regression analysis using SPSS 22.0 applied for data analysis. According to the results, human capital empowerment factors have a statistically significant impact on the performance enablers. Finding disclosed that an effective performance evaluation system and effective leadership, which empower human capital in the organization, have a positive significant effect on the organizational performance. The findings indicate that organizations with an effective performance appraisal system and effective leadership not only provide a platform in which human capital is identified and grown, but also improve the factors that shape the performance of an organization. This research contributes to the literature on human resources, human capital, organizational management, and ultimately organizational performance. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
9.
Khosrojerdi, F.; Motaghi, H.; Gagnon, S.
Digital Transformation: Prior to and Following the Pandemic Article de journal
Dans: Contributions to Economics, p. 139–152, 2023, ISSN: 14311933, (Publisher: Springer Science and Business Media Deutschland GmbH).
Résumé | Liens | BibTeX | Étiquettes:
@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},
publisher = {Springer Science and Business Media Deutschland GmbH},
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}
}
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.
10.
Ntakirutimana, J. -B.; Vieru, D.; Motaghi, H.
Strategy for managing project front-end of digital transformation - a case for a multidimensional and creative conceptualization Article d'actes
Dans: T.X, Bui (Ed.): Proceedings of the Annual Hawaii International Conference on System Sciences, p. 5633–5642, IEEE Computer Society, 2023, ISSN: 15301605, (ISSN: 15301605).
Résumé | Liens | BibTeX | Étiquettes: Change process, Closed action strategy, Creatives, Digital transformation, Front end, Managing programmes, Multidimensional nature, Open action strategy, Project front-end, Strategy
@inproceedings{ntakirutimana_strategy_2023,
title = {Strategy for managing project front-end of digital transformation - a case for a multidimensional and creative conceptualization},
author = {J. -B. Ntakirutimana and D. Vieru and H. Motaghi},
editor = {Bui T.X},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152138112&partnerID=40&md5=4be4e5ef398848947c5929acd2bede9b},
issn = {15301605},
year = {2023},
date = {2023-01-01},
booktitle = {Proceedings of the Annual Hawaii International Conference on System Sciences},
volume = {2023-January},
pages = {5633–5642},
publisher = {IEEE Computer Society},
abstract = {In any human undertakings, success requires a sound strategy. Based on a narrative review, this conceptual paper discusses the concept of strategy, its manifestations in digital transformation, and a strategy for managing project front-end activities in this change process. Concretely, based on the underlying rationale, we highlight the multidimensional nature of strategy first and then its various manifestations in digital transformation. Finally, we present a strategy for managing project front-end activities in this process, some relevant tools, and techniques in addition to a metaphor meant to creatively generate supplemental insights into this strategy. Overall, this essay contributes to knowledge in information systems by enhancing two types of theory in this area, namely, the theory for analyzing and theory for design and action. © 2023 IEEE Computer Society. All rights reserved.},
note = {ISSN: 15301605},
keywords = {Change process, Closed action strategy, Creatives, Digital transformation, Front end, Managing programmes, Multidimensional nature, Open action strategy, Project front-end, Strategy},
pubstate = {published},
tppubtype = {inproceedings}
}
In any human undertakings, success requires a sound strategy. Based on a narrative review, this conceptual paper discusses the concept of strategy, its manifestations in digital transformation, and a strategy for managing project front-end activities in this change process. Concretely, based on the underlying rationale, we highlight the multidimensional nature of strategy first and then its various manifestations in digital transformation. Finally, we present a strategy for managing project front-end activities in this process, some relevant tools, and techniques in addition to a metaphor meant to creatively generate supplemental insights into this strategy. Overall, this essay contributes to knowledge in information systems by enhancing two types of theory in this area, namely, the theory for analyzing and theory for design and action. © 2023 IEEE Computer Society. All rights reserved.