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The Role of Internal Capital Markets During COVID-19 Pandemic: Evidence From Primary Dealers
No full textThis paper examines the role of internal capital markets in financing primary dealers during the COVID-19 crisis. We show that primary dealers used their access to internal capital markets to increase their reliance on funding provided by affiliates during the crisis. The aggregate size of the internal capital markets of primary dealers increased from 1 trillion in 2022. We show that sibling subsidiaries remain the largest single counterparty of US primary dealers, and their role as a source of internal funding was heightened during the COVID-19 crisis
The Games AIs Play - A Comprehensive Review
No full textCompetitive games have long served as structured and measurable testing grounds for AI research. Many foundational AI innovations emerged from efforts to achieve superhuman performance in domains including board games (Chess, Go), knowledge-based competitions (Jeopardy), and real-time strategy games (StarCraft, Diplomacy). The evolution of AI in games offers valuable lessons for business applications, particularly in decision-making, strategic planning, and automation. However, much of the research in this area is found in technical publications and pre-print repositories, with limited engagement from business scholars. This paper synthesizes key developments in AI applied to games, highlighting their technological evolution and drawing insights relevant to business applications
Direct Fractional Auction
No full textThis paper designs a market algorithm for fractional ownership of an indivisible asset. It introduces an efficient market mechanism, named Direct Fractional Auction (DFA) that offers valuable assets to both small and large investors who can become partial owners of such assets. Additionally, it advances procedures and algorithms for DFA to determine the optimal winning combinations of unaffiliated bidders. DFA, on the one hand, transfers the partial ownership to the winners and, on the other, redirects the proceeds from the auctions to the sellers. We show that the DFA algorithm works more efficiently than the Greedy algorithm in maximizing the seller’s value. We also demonstrate the possibility of reducing the complexity of the problem using the “pruning” method for data pre-processing
Corporate Social Responsibility (CSR) and Corporate Algorithmic Responsibility (CAR): Rethinking Ethical Accountability in the Age of AI
No full textArtificial intelligence (AI) is transforming corporate decision-making; however, current Corporate Social Responsibility (CSR) frameworks often fall short in addressing AI’s ethical risks. This paper proposes Corporate Algorithmic Responsibility (CAR), a governance model that extends CSR by integrating techno-moral accountability. Built on four pillars, CAR draws from AI ethics, corporate governance, and regulatory studies. The framework is actionable, aligned with global standards, and tailored for sectors like fintech, healthtech, and digital retail. By embedding accountability into AI systems, CAR offers a robust, interdisciplinary approach to ensure corporate AI deployment is ethical, equitable, and resilient in real-world contexts
Developing the Enhanced Knowledge Loss Risk Model (EKLRM): Addressing Knowledge Loss Risks in the Post-Pandemic Workforce
No full textRetaining critical knowledge is essential for organizational success, but remote work, the “Great Resignation,” and quiet quitting have disrupted knowledge sharing. The goal of this research is to develop the Enhanced Knowledge Loss Risk Model (EKLRM) that extends Jennex’s (2014) original model by explicitly incorporating insights from Psychological Contract Theory. This theoretical integration enables the model to more effectively account for how unmet expectations regarding flexibility, support, and recognition can lead to both voluntary turnover and engagement-based knowledge loss. Building on a review of literature on the Great Resignation, quiet quitting, Psychological Contract Theory, and knowledge management, the study proposes and empirically tests hypotheses for new contributing factors. A survey of knowledge workers was conducted, revealing four significant influences on employee departure and engagement: the absence of remote work or flexible hours, provision of equipment and technical support for remote work, and the need for high-speed internet connectivity
Legitimacy and Narrative Control in Postcolonial Cultural Diplomacy: An Organizational Psychology Perspective on Resource Consolidation
No full textThis paper explores how leadership legitimacy and narrative control function as mechanisms of unmonitored resource consolidation in postcolonial cultural diplomacy. Through an organizational psychology lens, it draws on INTERPOL’s frameworks on cultural property crime, the UNESCO designation of reggae as global heritage, and the strategic role of gatekeepers such as Lloyd Stanbury and Minister Olivia “Babsy” Granger. By situating Jamaica’s cultural diplomacy within theories of symbolic capital, authority, and soft power, this analysis provides a grounded perspective on how postcolonial legitimacy can be leveraged into transnational influence and asset acquisition… frequently beyond the view of regulatory systems. Within this context exists an informal tactic termed romantic legitimacy laundering: a pattern in which emotional intimacy, spiritual rhetoric, and symbolic authority are leveraged to obscure and legitimize the unregulated transfer of assets, often under the guise of love, healing, or cultural return. This paper also introduces the concept of the legitimacy trap: a dynamic in which symbolic authority becomes so culturally embedded and emotionally resonant that traditional oversight mechanisms weaken, allowing unchecked influence to masquerade as moral leadership. This paper calls for post-recognition compliance mechanisms within cultural diplomacy frameworks, particularly from institutions like UNESCO, where symbolic endorsement must be matched with ethical governance and public transparency
Innovation without Limits: A Disciplined and Accessible Model for Sustainable Technological Development
No full textThis paper presents a lightweight software architecture that integrates embedded Near Field Communication (NFC) technology into wearable systems for real-time traceability and operational automation. The proposed model was developed within a resource-constrained context and applied across multiple domains, specifically healthcare, education, and tourism, where infrastructure and connectivity are often limited.
The system architecture is based on five key principles: modular design, disciplined development, goal-oriented execution, iterative improvement, and ethical software engineering. These principles support the deployment of low-cost embedded systems that function without continuous internet access, making them suitable for underserved environments.
Through empirical evaluation, the model was benchmarked against traditional software solutions in each sector. Results indicate improvements in process efficiency (e.g., faster identification and tracking), significant cost savings, and enhanced user experience. For example, in clinical settings, the use of NFC-embedded garments led to a 35% increase in equipment traceability and a 40% reduction in identification errors. The contribution of this study lies in demonstrating that disciplined, purpose-driven software engineering can yield effective embedded systems without relying on advanced infrastructure. The model provides a replicable framework for developers seeking to implement frugal yet functional systems across diverse, real-world environments
Scaffolding Sovereignty: Project Management in the Age of AI
No full textThis paper positions project management as the core architecture of ethical governance in the twenty-first century—where legitimacy depends not on ideology, but on disciplined structure. Through the case of the Legal International Medical Marijuana Initiative (LIMMI) linking Libya, Jamaica, and California, it reframes project management as a cognitive scaffold for rebuilding sovereignty in post-conflict and post-colonial systems. Drawing from Larson and Gray’s project life-cycle model and UNESCO’s AI in Education frameworks, the study demonstrates how trauma-informed leadership and AI-supported compliance architecture can restore institutional trust, transparency, and operational coherence. By integrating cognitive literacy with ethical project discipline, LIMMI functions as a living prototype for cross-border legitimacy and sustainable recovery. The argument concludes that project management, when embedded with ethical intelligence and supported by AI verification, constitutes the scaffolding of sovereignty— transforming chaos into structure, and policy into lived stability
Ethical Consistency and the Use of Generalized Large Language Models in Higher Education: A Perspective Based on the Workplace of the Future
No full textGeneralized large language models such as ChatGPT are rapidly transforming many aspects of organizational life. As their use becomes widespread in institutions of higher education, faculty and student reactions are varied and, at times, based on personal experience rather than philosophical principles or consideration of future needs and opportunities. This manuscript offers a path forward based on the principle of ethical consistency along with consideration of the workplace of the future. Beliefs of college professors and students are examined in this context and implications for policies, practices, and pedagogy are discussed. A research agenda on ethical consistency and generalized large language models in higher education with research questions addressing both the classroom and the workplace is offered
Challenges and Opportunities of Teaching Different Kinds of New Courses: Information Systems Faculty Members’ Insights
No full textA common experience for business school faculty members is teaching a new course. Existing research provides examples of faculty members sharing their experience with teaching new courses (e.g., Payne et al., 2021). We complement existing research by focusing on a largely underexplored topic: how faculty members understand course newness and respond to the challenges and opportunities it entails. We conducted a collaborative autoethnography (Chang et al., 2016) to critically explore our own experiences. The resulting insights are aimed at improving pedagogical practices and can provide helpful guidance to faculty members -no matter their discipline- faced with teaching new courses