Management Information Systems Commons^™

Factors Influencing Patient Recall For Follow-Up In The Multi-Stage Deployment Of Medical Intelligent Screening Systems, Wenjie Chen

Dissertations and Theses Collection (Open Access)

With the deep integration of artificial intelligence (AI) technology in the healthcare sector, intelligent screening systems have achieved significant breakthroughs in predictive accuracy; however, they commonly face a management challenge in clinical implementation: accurate early warnings but limited patient recall. To address this ineffective technological empowerment issue in practice, this study proposes a theoretical framework featuringbidirectional interactions between "technological empowerment" and"relational empowerment" based on empowerment theory to systematicallyinvestigate the dynamic evolution mechanisms and boundary conditions of patient recall willingness under multi-stage, cross-departmental deployment of medical intelligent screening systems. Using a leading municipal hospital as the primary experimental setting, the study …

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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

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, Anna Margulis, Lavy Khoushinsky, Olga Antsygina, Marat Bakpayev

Atlantic Marketing Association Proceedings

No abstract provided.

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, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

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 …

Innovations And Applications Of Virtual Private Networks And Sustainable Security In Society 5.0 Libraries, Stella Chinnaya Nduka Dr., Adeyinka Tella Prof, Petros Dlamini Dr

Journal of Cybersecurity Education, Research and Practice

In order to improve digital resilience, privacy, and access equity in contemporary library environments, this study investigates the role of Virtual Private Networks (VPNs) in fostering sustainable cybersecurity within the framework of Society 5.0 libraries. It does this by looking at the latest developments, applications, difficulties, moral dilemmas, and tactical methods associated with VPN deployment. Using peer-reviewed journal articles, conference proceedings, white papers, and policy documents published between 2010 and 2024, a methodical approach to literature review was used. The literature that bridges the fields of cybersecurity, library science, and Society 5.0 concepts was the main focus of the review. …

Entrepreneurial Orientation And Performance Of Microfinance Cooperatives: Evidence From Tanzania, Grace Thomas Mori, Omari Khalifa Mbura

Business Management Review

Microfinance cooperatives (MFCs) play a key role in socio-economic development, predominantly in developing countries. However, studies focusing on the relationship between entrepreneurial orientation (EO) and the performance of MFCs are limited, particularly in Tanzania. This study was informed by the resource-based view to examine the influence of EO dimensions on the performance of MFCs in Tanzania. Specifically, the study focused on four dimensions of EO namely; innovativeness, proactiveness, risk taking, and competitive aggressiveness behaviours. Data were obtained from 299 stratified sampled managers of MFCs through the administration of a structured questionnaire. In testing this relationship, Partial Least Squares Structural Equation …

Information Sharing, Quality Management, And Firm Performance: The Mediating Role Of Supply Chain Agility, Aamir Rashid, Rizwana Rasheed, Syed Babar Ali

Publications and Research

The fashion industry’s business is becoming increasingly complicated and active. This industry is expected to be highly competitive, particularly in the retail sector. Therefore, this research aims to examine the impact of supply chain information sharing and quality management on firm performance, with supply chain agility as a mediating variable, in the Asian fashion industry. A total of 169 participants from the fashion sector in a developing country were surveyed. The proposed hypotheses were examined using a quantitative approach, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS to assess and validate the measurement model. The results indicate that …

Bias In Generative Ai: Amplified Stereotypes And Their Impact On Decision-Making, Jaymo Kim, Mi Zhou, Vibhanshu Abhishek, Tim Derdenger, Kannan Srinivasan

AMTP Proceedings 2026

This study examines bias in generative AI through an analysis of approximately 8,000 occupational portraits created by Midjourney, Stable Diffusion, and DALL·E 2. We document significant underrepresentation of women and Black individuals compared to real-world benchmarks. The research identifies two primary manifestations of bias: systematic gender and racial disparities, and subtle biases in facial expressions that influence perceptions of competence and trustworthiness. Through an iterative "Creative Lab" involving a fictional brand, we employ a three-phase experimental design to test whether AI disclosure labels—as proposed in the AI Disclosure Act of 2023—can mitigate the impact of these biases on consumer evaluations. …

Research Days: Case Study: Creation Of A Student-Driven Radio Talk Show To Answer Cybersecurity Questions And Concerns To Boost Power Skills, Joel Leiva, Anthony Bayate, David Abiandu, Keith Fernandez

Center for Cybersecurity

Power skills are essential in any professional career. Oftentimes, college students don’t feel prepared enough to enter the workforce. Having good power skills in a group can greatly increase production and efficiency. This case study aims to develop these power skills in a group of college students through the creation of a student-driven radio talk show answering cybersecurity questions and concerns. A qualitative approach was used via the creation of the C.Y.B.E.R. radio show. This show enhanced the participants’ power skills such as collaboration, teamwork, and communication skills. The findings from this case study prove the alternate hypothesis of boosting …

Optimizing Retail Grocery Inventory Using Ai And Large Language Models: Evidence On Forecast Accuracy, Waste Reduction, And Cost Efficiency, Robert Miller, Stephen Garcia, Brandon Ermis

Posters - 2026

Aim: To evaluate how AI and LLMs improve forecasting accuracy, reduce waste, and enhance inventory decision-making

Ai Dependence And Its Impact On Human Decision-Making Quality And Supply Chain Efficiency, Jesus Salazar, Leonardo Fabbri, Axel Villegas

Posters - 2026

• Artificial Intelligence (AI) is transforming supply chain management by enabling:
  • Data-driven decision-making
  • Improved forecasting accuracy
  • Enhanced operational efficiency (Choudhary et al., 2023; Ivanov & Dolgui, 2021)
• AI applications such as predictive analytics support:
  • Inventory optimization, Logistics planning
  • Procurement decisions in real time
• However, increasing reliance on AI introduces risks:
  • Automation bias (over-trusting AI outputs)
  • Reduced human critical thinking
  • Overdependence on algorithmic recommendations (Raisch & Krakowski, 2021)
• This study examines the dual impact of AI dependence on:
  • Decision-making quality
  • Supply chain efficiency
• Objective:
  • Identify whether AI improves performance or reduces human effectiveness
  • Determine the optimal balance between AI support and human …

From Ideas To Impact: Evaluating How Financial Technology Expands Financial Inclusion Across Countries, Shravani Atakari

Posters - 2026

Financial inclusion refers to access and use of financial services (World Bank, 2022). Traditional finance excludes users due to:

• High costs • Geographic distance • Limited credit History . Fintech expands access through digital tools Purpose: Analyze how fintech improves inclusion and what drives adoption

Research Questions How does financial technology reduce barriers to financial inclusion, and what factors influence its adoption among underserved populations? Objectives Identify key barriers to financial inclusion Analyze how fintech reduces these barriers Examine adoption factors (TAM + UTAUT) Propose solutions to improve adoption

Smartstock, Enzo Jaques

Posters - 2026

SmartStock is a mobile application designed to help small business owners efficiently manage inventory and track sales in real time. Many small businesses rely on manual tracking methods or spreadsheets, which can lead to errors, lost data, and inefficient operations. SmartStock addresses this problem by providing a simple, mobile-first solution that allows users to manage products, monitor stock levels, and calculate profits instantly.

Purpose:

• Simplify inventory management • Track sales and profit automatically • Provide real-time low stock alerts • Improve decision-making for small businesses