Algorithmic Resilience Memory: Designing Agentic Ai Systems For Organizational Learning And Climate-Crisis Adaptation,
2026
Dakota State University
Algorithmic Resilience Memory: Designing Agentic Ai Systems For Organizational Learning And Climate-Crisis Adaptation, Harsha Sammangi, Aditya Jagatha, Navyasri Maddukuri
Research & Publications
Climate disruption has become a persistent organizational condition rather than an episodic event, yet most information systems designed to support organizational resilience treat each disruption as an isolated incident. Existing digital resilience platforms, disaster recovery systems, and AI-driven decision support tools lack the capacity to accumulate, encode, and reuse organizational knowledge across successive climate-related crises. This paper introduces Algorithmic Resilience Memory (ARM), a novel IS construct defined as an AI-enabled organizational capability through which agentic AI systems sense climate-related disruptions, encode prior organizational responses, preserve decision rationale, generate contextually adaptive recommendations, and reconfigure future actions through structured outcome feedback. Drawing …
Perceived Fiscal Exchange And Tax Compliance: Evidence From Large Corporate Taxpayers In Tanzania,
2026
University of Dar es Salaam
Perceived Fiscal Exchange And Tax Compliance: Evidence From Large Corporate Taxpayers In Tanzania, Susan Kiyenze, Mariam Nchimbi, Said Suluo
Business Management Review
This paper examines the relationship between perceived fiscal exchange (PFE) and Tax Compliance (TCO) among large corporate taxpayers in Tanzania while drawing on the Fiscal Exchange Theory (FET). The study on which this paper is based employed a quantitative research design and analysed data using Partial Least Squares Structural Equation Modelling (PLS-SEM) with a sample of 215 large corporate taxpayers in Tanzania. We find that the FET framework has modest explanatory and predictive power. Perceived Fiscal Exchange (PFE) has an insignificant effect on tax compliance of large corporate taxpayers. This suggests that perceptions of fiscal exchange do not necessarily drive …
The Push-Pull Model's Function In Understanding Public Sector Workers' Inter-Organisational Labour Mobility: The Views Of The Herzberg Two-Factor Theory,
2026
Institute of Finance Management
The Push-Pull Model's Function In Understanding Public Sector Workers' Inter-Organisational Labour Mobility: The Views Of The Herzberg Two-Factor Theory, Rosemary Selestine Massae
Business Management Review
In the modern world, one of the challenges managers have in maintaining their talented staff is labour mobility. Inter-organisational labour mobility (ILM) has been found to be significantly influenced by co-worker relationships, work-family conflict, monetary compensation, and training and development. The pull-push paradigm was inspired by human migration. Since migration not only symbolises movement across physical locations but also encompasses other routine duties, theory is essential to comprehending ILM. However, to date, no existing study has tested the model under the influence of Herzberg’s Two-factor Theory, in explaining ILM uses the public sector as a major setting of the question …
The Impact Of Quantum Computing And Distributed Ledger Technology On Accounting/Auditing/Finance Systems,
2026
University of Dar es Salaam
The Impact Of Quantum Computing And Distributed Ledger Technology On Accounting/Auditing/Finance Systems, Ulingeta O. L. Mbamba
Business Management Review
The integration of Quantum Computing (QC) and Distributed Ledger Technology (DLT) is poised to fundamentally reshape modern accounting by transforming how financial data is processed, secured, and verified. QC, utilising qubits, will exponentially enhance data analytics, risk assessment, and real-time financial forecasting, accelerating complex auditing tasks far beyond the capabilities of classical systems. In parallel, DLT, such as blockchain, provides a decentralised, immutable record of transactions, significantly increasing transparency and trust. This synergy may enable real-time analysis, continuous auditing, and intelligent automation, converting traditional static, centralised processes into dynamic, transparent ecosystems. Together, this convergence may redefine accounting, auditing, and finance, …
The Influence Of Top Management Commitment On Competitive Advantage Through Supply Chain Resilience, Supply Chain Digitalisation, And Supply Chain Responsiveness,
2026
Petra Christian University
The Influence Of Top Management Commitment On Competitive Advantage Through Supply Chain Resilience, Supply Chain Digitalisation, And Supply Chain Responsiveness, Hotlan Siagian, Sautma Ronni Basana, Widjojo Suprapto, Zeplin Jiwa Husada Tarigan
The South East Asian Journal of Management
Research Aims: This study aims to analyse the influence of top management's commitment on competitive advantage through supply chain digitalisation, responsiveness, and resiliency.
Design/Methodology/Approach: Data were collected using a five-point Likert-scale questionnaire distributed to manufacturing practitioners with a minimum supervisory position. A total of 203 valid questionnaires were analysed. Data processing was performed using SmartPLS version 4.0 to test measurement and structural models.
Research Findings: The study results indicate that eight hypotheses are accepted and one is rejected. Top management commitment positively impacts supply chain digitalisation, responsiveness, and resilience. Furthermore, supply chain digitalisation and supply chain resilience both positively impact …
Horizontal Collaboration Practices And Operational Performance Of Smallholder Farmer Groups In Horticultural Supply Chain,
2026
Mbeya University of Science and Technology
Horizontal Collaboration Practices And Operational Performance Of Smallholder Farmer Groups In Horticultural Supply Chain, Herieth J. Rogath, Juma James Masele, Gerald Magova
Business Management Review
Collaboration has increasingly been recognized as a strategic approach for enhancing performance. However, limited attention has been given to the relationship between horizontal collaboration practices and the operational performance of horticultural smallholder farmer groups in downstream supply chains. This study examined this relationship through the lens of Social Exchange Theory. Data were collected using self-administered questionnaires from 195 smallholder horticultural farmer groups across the southern highlands of Tanzania, including Mbeya, Iringa, Njombe, and Songwe regions. Analysis was conducted using Partial Least Squares Structural Equation Modelling (PLS-SEM) with SmartPLS 4.0. The findings reveal that all collaboration practices improve operational performance; resource …
A Forgotten Tool? Intellectual Property Rights And The Competitive Potential Of Micro, Small, And Medium-Sized Enterprises In Tanzania,
2026
University of Dar es Salaam
A Forgotten Tool? Intellectual Property Rights And The Competitive Potential Of Micro, Small, And Medium-Sized Enterprises In Tanzania, Saudin J. Mwakaje
Business Management Review
This article offers a hybrid assessment of law and its impact on business by examining how intellectual property rights (IPR) promote business competitiveness by granting enterprises exclusive statutory rights over their innovations and creative ideas. The article situates the discussion in the Tanzanian context and focuses on Micro, Small, and Medium-Sized Enterprises (MSMEs). Using a qualitative approach, the discourse examines ongoing national and continental reforms and the evolving business and market environment that are driving MSMEs to adopt innovation to achieve market control and sustainability. Recent continental and regional regulatory developments, including the adoption of the Agreement on African Continental …
From Awareness To Action: Exploring The Behavioral Gap In Green Computing Among Surveyed University Students In Tanzania,
2026
University of Dar es Salaam
From Awareness To Action: Exploring The Behavioral Gap In Green Computing Among Surveyed University Students In Tanzania, Victor G. Wilson
Business Management Review
As digital technologies become increasingly embedded in higher education, promoting environmentally responsible computing practices has become an important sustainability and management concern. This study applies the Norm Activation Model (NAM) to examine green computing behavior among university students in Tanzania. Drawing on responses from 868 students across science, education, and business programs, the study investigates how Awareness of Consequences, Ascription of Responsibility, and Personal Norms influence green computing behaviors. Hierarchical regression analysis was used to assess both the explanatory power of the NAM variables and the selective moderating roles of gender and academic program. Findings reveal that both awareness and …
The Role Of Board Effectiveness In Shaping The Influence Of Esg Disclosures On Financial Performance: The Case Of Tanzanian Listed Companies,
2026
University of Dar es Salaam
The Role Of Board Effectiveness In Shaping The Influence Of Esg Disclosures On Financial Performance: The Case Of Tanzanian Listed Companies, Emmanuel Christopher
Business Management Review
This study examines the moderating role of board effectiveness in the relationship between environmental, social, and governance (ESG) disclosures and the financial performance of firms listed on the Dar es Salaam Stock Exchange (DSE) in Tanzania. Drawing on stakeholder and agency theory perspectives, the study posits that ESG disclosures create value for stakeholders while effective boards enhance oversight and ensure that sustainability initiatives translate into firm performance. Using secondary data from firms’ annual reports for 2016–2024 (198 firm–year observations), the study applies random effects panel regression guided by the Hausman test. Robustness checks were performed using an alternative financial performance …
Artificial Intelligence For Customer Relationship Management In The Nigerian Commercial Banking Sector,
2026
University of Cape Town
Artificial Intelligence For Customer Relationship Management In The Nigerian Commercial Banking Sector, David Tobi Akobe, Wallace Chigona, Laban Bagui
The African Journal of Information Systems
The continuous increase in the volume of customer data stored by commercial banks necessitates the use of artificial intelligence (AI) technologies to enhance customer retention and satisfaction. While a few Nigerian commercial banks do currently leverage these technologies, a significant knowledge gap limits their use across the wider Nigerian commercial banking sector. Guided by Organizational Information Processing (OIP) theory, we carried out a multiple case study to explore how AI technologies were utilized in three commercial banks in Nigeria. Purposive sampling was used to select experienced data professionals employed by these banks and semi-structured interviews were conducted to collect data. …
Investigating Machine Learning As An Anomaly Detection Tool In College Basketball,
2026
Murray State University
Investigating Machine Learning As An Anomaly Detection Tool In College Basketball, Eli G. Whitaker
Honors College Theses
Artificial Intelligence (AI) and Machine Learning (ML) are more commonly becoming tools that organizations use to prevent, detect, and deter fraud. Like other organizations, the amount of fraud that the National Collegiate Athletic Association (NCAA) faces is growing at an alarming rate. The primary issue involves athletes that undermine the integrity of their sport by purposefully playing below their true potential as participants in broader betting-related schemes. This thesis focused on Division 1 Men’s Basketball evaluates the viability of using supervised ML to detect anomalies in team performance over games in recent seasons. Anomalies, like red flags in the context …
Creepy Or Customized? Understanding The Ethical Boundaries Of Ai-Powered Personalization,
2026
Bowling Green State University
Creepy Or Customized? Understanding The Ethical Boundaries Of Ai-Powered Personalization, Hope Schultz
Honors Projects
Artificial intelligence has taken the world by storm, and its presence in our lives only continues to grow. Not only has it changed the way we live and interact with technology, but it has also fundamentally changed how businesses reach customers, particularly in marketing. It now powers the algorithms, predictions, and personalized experiences that shape nearly every digital interaction we have as consumers, including the videos we see on TikTok, the products that are recommended to us on Amazon, and the weirdly accurate ads that pop up across different platforms. These AI-powered systems are constantly learning from tiny behaviors we …
Strategic Audit - Lululemon,
2026
University of Nebraska-Lincoln
Strategic Audit - Lululemon, Jared M. Loos, David Goldsmith, Madelyn Martin, Grant Taylor, Carson Downs
Honors Program: Senior Projects (Public)
No abstract provided.
Application Identification With Pfsense, Snort, And Openappid In Academic Lab Networks,
2026
Ecole Nationale Superieure d'Informatique et de Mathematiques Appliquees de Grenoble
Application Identification With Pfsense, Snort, And Openappid In Academic Lab Networks, Minh-Khanh Vu
Journal of Cybersecurity Education, Research and Practice
This paper evaluates the practical capabilities and limitations of a widely used open-source network security stack—pfSense firewall, Snort Intrusion Detection System (IDS), and OpenAppID detectors—in academic cy- bersecurity laboratories and small-to-medium enterprise (SME)-like environments. In a controlled virtual testbed, we measure application-level and feature-level identifi- cation performance for major applications (Facebook, YouTube, Zoom) using the pfSense/Snort/OpenAppID configuration. The stack achieves 97% application-level identification accuracy for these applications in our lab dataset, drawing on a library of 3,374 OpenAppID detectors. However, our experiments reveal a substan- tial feature-level detection gap: specific functions such as Zoom file transfers and Facebook messaging can- …
Team Selection Applications Using Subjective And Objective Factors: An Analytic Approach,
2026
Kennesaw State University
Team Selection Applications Using Subjective And Objective Factors: An Analytic Approach, Alan D. Smith
Atlantic Marketing Association Proceedings
No abstract provided.
Examining Digital Transformation In Maritime Logistics: A Big Data Perspective,
2026
Kennesaw State University
Examining Digital Transformation In Maritime Logistics: A Big Data Perspective, Jiyoon An
Atlantic Marketing Association Proceedings
No abstract provided.
Tech Twists And Turns: Unveiling New Privacy Paradoxes Of Technology For Later Adulthood Consumers,
2026
Department of administrative sciences, Universite du Quebec en Outaouais
Tech Twists And Turns: Unveiling New Privacy Paradoxes Of Technology For Later Adulthood Consumers, Anna Margulis, Lavy Khoushinsky, Olga Antsygina, Marat Bakpayev
Atlantic Marketing Association Proceedings
No abstract provided.
Exploration Of Dimensionality In Nfts, Blockchain, And Cryptocurrencies,
2026
Appalachian State University
Exploration Of Dimensionality In Nfts, Blockchain, And Cryptocurrencies, George D. Shows
Atlantic Marketing Association Proceedings
No abstract provided.
Supply Chain And Warehouse Management Strategies In The Western Pa Grocery Industry,
2026
Kennesaw State University
Supply Chain And Warehouse Management Strategies In The Western Pa Grocery Industry, Alan D. Smith
Atlantic Marketing Association Proceedings
No abstract provided.
Adopting Artificial Intelligence: Cross-Sector Analysis Of Ai Adoption Risks,
2026
University of Arizona
Adopting Artificial Intelligence: Cross-Sector Analysis Of Ai Adoption Risks, Brandon Saari, Yona Berger, Yanett Munoz, Alex Agnick, Paul Wagner, Robert J. Honomichl
Journal of Cybersecurity Education, Research and Practice
Artificial intelligence (AI) is rapidly being adopted across public and private sectors. This offers significant gains in efficiency, decision making, and access to information. At the same time, AI introduces complex risks related to cybersecurity, privacy, bias, transparency, accountability, and equity that existing governance and security frameworks do not fully address. This paper presents a cross-sector literature review and comparative analysis of AI adoption risks and mitigation strategies across four critical domains: the federal government, libraries, K–12 education, and healthcare. Drawing on peer-reviewed research, institutional frameworks, and policy guidance, the study identifies sector-specific challenges alongside shared systemic gaps, including insufficient …
