Management Information Systems Commons^™

Advancing Cybersecurity Practice: Explainable Machine Learning For Network Intrusion Detection, Adam Grabowski, Shengjie Xu

Journal of Cybersecurity Education, Research and Practice

This research investigates explainable artificial intelligence (XAI) integration within machine learning (ML)-based intrusion detection systems (IDS), focusing on distinguishing malicious from benign network activities. We employed Random Forest and XGBoost models evaluated on widely recognized datasets, including NSL-KDD and UNSW-NB15, using both binary and multi-class classification tasks. The objective was to enhance cybersecurity operations through improved model transparency and interpretability. By integrating SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-Agnostic Explanations), the study offers comprehensive global and local insights into model decision-making processes. Results demonstrate SHAP's effectiveness in providing a broad, dataset-wide understanding of feature interactions and importance, while …

Using It And Accounting Education Pedagogy To Address Smaller Firms' Cybersecurity Concerns, Darlene A. Adkins, William Lyle, Walter Smith

The North American Accounting Studies

This study begins by exploring the cybersecurity activities and practices of small public accounting firms. It also examined how a cross-disciplinary curriculum design could be useful to accounting programs that are challenged to integrate cybersecurity-related content while preserving the core accounting knowledge valued by smaller accounting firms. Through interviews with current practitioners from small and regional firms, the research investigated the extent to which cybersecurity concerns impact their practice, how cybersecurity activities are staffed, and the perceptions of current practitioners on the state of accounting education related to information technology (IT) and cybersecurity. The participants expressed a desire for accounting …

Forecasting Aviation Carbon Emissions With Tree-Based Machine Learning: A Case Study Of Turkish Airlines Operational Data, Demet Dağlı Phd, Ednan Ayvaz Phd

International Journal of Aviation, Aeronautics, and Aerospace

The global aviation industry plays a critical role in economic development and international connectivity. However, it also contributes significantly to environmental challenges, particularly through fuel consumption and carbon emissions. The aviation sector is responsible for approximately 1–2% of global CO₂ emissions, and its environmental impact is expected to increase substantially by 2050. This study proposes a machine learning (ML)-based decision support framework to forecast carbon emissions in the airline sector. Using Turkish Airlines’ quarterly operational data from 2008 to 2023, Decision Trees, Random Forest, XGBoost, and Extra Trees models were applied to predict carbon emissions. Key variables include revenue passenger …

Exploring The Impact Of Negative Ewom On Hotel Booking Intention Through The Lens Of Attribution Theory And The Moderating Role Of Recovery Justice, Antonio Jose Ogaz-Muñoz

Electronic Theses and Dissertations

Negative electronic word-of-mouth (EWOM) has emerged as a critical factor influencing customer behavior, particularly in the hospitality industry. Despite extensive research grounded in failure attributions and service recovery theories, few studies examine the combined impact of failure attribution and recovery justice on hotel booking intentions. Using a 2x2x2x2 between-subjects experimental design with 373 responses, this research investigates how customers' perceptions of failure attribution influence their booking intention after exposure to negative EWOM, and if perceived recovery justice can mitigate the negative effects of these attributions. Results show that booking intention declined most when reviews framed the failure as hotel-caused and …

Probabilistic Deep Learning For Traffic Density Prediction, Pedro Cesar Lopes Gerum, Andrew Reed Benton, Melike Baykal-Gursoy

Business Faculty Publications

Real time, accurate predictions of recurrent and nonrecurrent traffic congestion are essential for optimizing transportation systems and ensuring a smooth user experience. Traditional models often focus on long-term point estimates, limiting their use in scenarios requiring short-term predictions or probabilistic assessments (e.g., traffic signal optimization, dynamic tolling, and emergency response). This study explores probabilistic deep learning (DL) for real time traffic density distribution prediction. This study demonstrates that an adapted multi-quantile recurrent neural network (MQRNN), termed MQRNN-monotonic, outperforms traditional time series methods, particularly when handling nonrecurrent disruptions. A novel loss function is introduced to address quantile crossing issues, ensuring valid …

Towards Resilient Data Governance: An Industry Study On Practitioner Perspectives On The Current State Of Data Governance, Anthony Mazzarella Iii

Theses and Dissertations

Experts agree that data governance is crucial for managing data as an asset, yet in practice, it remains inconsistently defined, unevenly implemented, and poorly understood. Earlier industry studies offered valuable descriptive benchmarks of governance adoption and professional roles, but provided limited theoretical insight and little empirical evidence explaining how governance functions within organizations. Building on this foundation, the current research offers a more substantial and analytically rigorous contribution by transforming descriptive observations into empirical explanations. Through a collaborative academic–industry partnership, the study utilizes a global survey of 565 respondents (348 valid cases) to analyze governance structures, motivations, challenges, and the …

A Study Of Configuration Management Database (Cmdb) Adoption In It Service Management (Itsm) Implementations Within Nj Community Colleges, Fredrick Dande

All-Inclusive List of Electronic Theses and Dissertations

This study examines the adoption of Configuration Management Databases (CMDBs) in IT Service Management (ITSM) implementations within New Jersey (NJ) community colleges. Despite the well-documented benefits of CMDBs—such as faster issue resolution, improved compliance, and greater visibility across IT infrastructures—implementation success rates remain low. As technology continues to enhance production capabilities and expand access to information, the need for centralized configuration visibility has become critical. A CMDB provides a single system of record for IT assets and services, helping organizations manage outages, assess changes, maintain compliance, and improve asset tracking. This research used an online survey to collect data from …

Feedback Strategies In The Market With Uncertainties, Mustapha Nyenye Issah

Graduate Theses and Dissertations (2019 - present)

This paper explores how established firms use strategic advertising to deter new competitors in uncertain markets. Specifically, it models a situation where market demand evolves unpredictably - captured by the CKLS stochastic process, and the incumbent firm may be either strong or weak, a fact hidden from potential entrants. For a company already in the market, advertising is not just about driving immediate sales, it is a strategic tool to project an image of strength and deter potential new competitors. On the other side, a business thinking about entering that market faces a high-stakes, irreversible decision. It will typically hold …

An Active Learning Simulation For Teaching Hadoop In An Undergraduate Business Curriculum, Ruben A. Mendoza Ph.D., Liyuan Liu Ph.D.

International Journal for Business Education

This paper shows the effectiveness of an experiential learning activity for teaching core Hadoop concepts to undergraduate business students across all majors (Finance, Marketing, etc.). The complexity of Hadoop, with its distributed computing model and deep technical requirements, presents significant challenges in educational settings. The simulation was developed for an introductory course in a Business Intelligence & Analytics (BI&A) curriculum and adapted for use in a Database Management (DB) course. Results show significantly higher performance on questions centered on the topic in an online test preparation game with a total of 236 students in 11 different offerings of the course. …

Does Employees’ Meaningfulness Of Work Mediate The Link Between Their Cognitive Diversity And Creative Process Engagement?, Mohammad Tamzid Hossain, Sabrin Sultana, Salma Begum, Md. Sahidur Rahman, Md. Aftab Uddin

Management Dynamics

This study aims to investigate how employees' cognitive diversity affects their creative process engagement, with a focus on the role of their meaningfulness of work as a mediator in this connection. A survey was used with a quantitative method to collect responses from 207 employees of small, medium, and large service and manufacturing businesses in Bangladesh that were registered with the Chittagong Chamber of Commerce and Industry. The collected data were then analyzed using Smart PLS 4 to evaluate the hypotheses and examine the mediating effect of the study. The findings reveal that employees’ cognitive diversity has a significant impact …

From Prompt To Prejudice: Visual Evidence From Ai Image Generation Platforms, Jinu K. Varghese, Padma Rani

Markets, Globalization & Development Review

This study examines how AI image generation systems perpetuate digital orientalism through systematic cultural representation patterns that increasingly shape global digital markets and international development discourse. Using visual social semiotics methodology, we conducted comparative analysis of Midjourney and ChatGPT platforms across nine culturally specific prompts examining religious imagery, contemporary social dynamics, and power structures in Indian cultural contexts. Our findings reveal that both platforms consistently reproduce colonial-era representational frameworks despite culturally sensitive prompting and advanced technical capabilities. The analysis identifies three systematic patterns: temporal displacement strategies that acknowledge modernity while containing it within orientalist categories, institutional validation requirements that privilege …

Social Media Marketing And Business Performance Of Small And Medium Fashion Enterprises In Tanzania: The Moderating Role Of Social Media Strategic Capabilities, Pamela Kishimbo, Juma James Masele, Dev Jani

Business Management Review

This study examines the influence of social media marketing (SMM) on the business performance of small and medium fashion enterprises (SMFEs) in Tanzania, with social media strategic capabilities (SMSCs) as a moderating variable in this relationship. The study is grounded in the Uses and Gratification Theory (UGT) and Resource-Based View (RBV). The study used a cross-sectional survey design, collecting data from 397 SMFEs through structured questionnaires. Data were analysed using descriptive statistics and structural equation modelling (SEM). The findings revealed a significant positive relationship between SMM and the business performance of SMFEs in Tanzania. Furthermore, the findings show that SMSCs …

Software-Defined Networking Powered By Ai-Driven Anomaly Detection, Dina Moloja, Vusumuzi Malele Prof

Journal of Cybersecurity Education, Research and Practice

Software Defined Networking (SDN) revolutionizes network control by separating the control plane from the data plane. Although the latter improves SDN agility and scalability, it creates a security hole, particularly in a central control plane, leading to SDN environments becoming high-profile targets for advanced cybersecurity threats. Due to static and signature-based point-in-time behavior, traditional security methods are unable to keep up with modern attacks that are an anomaly to SDNs. Artificial Intelligence (AI) with its different applications and techniques, has the capability of detecting SDN cyber threats’ anomalies. This paper presents the results of a literature scoping exercise that used …

Evolution Of A New Strategic Orientation In The Ai Era: Exploring The Determinants Of Ai Orientation, Sreelakshmy Geethakumari

Dissertations

The field of AI has undergone significant evolution over the past few decades. While AI is heralded as one of the most transformative technologies, scholars caution that its strategic impact may still not be fully realized. Given the strategic importance of AI in today's firms, it is essential to consider AI as a strategic orientation and understand its determinants in detail. Our study examines AI Orientation, defined as a firm's deliberate application of AI technologies to achieve its strategic objectives. Drawing on multiple theoretical perspectives, this study investigates the determinants that shape a firm’s AI orientation. This study employs a …

Development Of Work Breakdown Structure (Wbs) Dictionary And Checklist Integrated With Building Information Modelling (Bim) On Concrete Bridge’S Care And Maintenance Work To Improve Maintenance Performance, Dina Benua Lalitya, Yusuf Latief

Journal of Project Management & Construction

According to The Ministry of Public Works and Public Housing of Republic of Indonesia (Kementerian PUPR), there was a significant decrease in national bridge condition in year 2021 compared to year 2018. One of the crucial factors that led to the collapse of the bridge was the lack of bridge management and maintenance to ensure the bridge’s serviceability. To cope with this condition, the solution needed is to carry out effective, efficient, and economical care and maintenance works. In bridge’s care and maintenance works, good project management can be improved with Work Breakdown Structure (WBS) and the use of integrated …

Development Of Knowledge Base Of Audit Process In High-Rise Building Works With Design-Build Contract Based On Iso 19011:2018 And Regulation Of The Minister Of Public Works And Housing No. 10 Of 2021, Zafira Alysha Fadli, Danang Budi Nugroho

Journal of Project Management & Construction

In achieving the long-term development goal of Advanced Indonesia, the Government continues to accelerate the completion of infrastructure development, such as strategic and priority projects that support economic transformation. Infrastructure development is still one of the main focuses of the Indonesian government, the 2024 state revenue and expenditure budget (APBN) is allocated to the infrastructure budget. The massive construction of high-rise buildings in Indonesia, the number of accidents is getting higher, so it is necessary to implement an audit process on construction work. The audit process is to know and monitor directly the procedures that have been applied optimally. Therefore, …

From The Editors, Rully Karim Dr.

Journal of Project Management & Construction

The Journal of Project Management and Construction (JPMC) is a peer-reviewed publication dedicated to advancing the field of project management and construction, grounded in the principles outlined in the PMBOK 6th Edition. Our focus encompasses the ten knowledge areas essential to successful project management: Integration, Scope, Schedule, Cost, Quality, Resource, Communications, Risk, Procurement, and Stakeholder Management.

JPMC publishes original research papers written in English that provide deeper insights into these knowledge areas and contribute to the development of best practices in project management and construction. Submissions may include theoretical analyses, computational models, experimental observations, or a combination of both theoretical …

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

Experts’ Validation Of The Fundamental Cybersecurity Competency Index (Fcci) Using A Commercial Cyber Range Through Human-Generative Artificial Intelligence (Genai) Teaming, Dariusz Witko, Yair Levy, Catherine Neubauer, Greg Simco, Laurie P. Dringus, Melissa Carlton

Journal of Cybersecurity Education, Research and Practice

The increasing volume of cyber threats, combined with a critical shortage of skilled professionals and rising burnout among practitioners, highlights the urgent need for innovative solutions in cybersecurity operations. Generative Artificial Intelligence (GenAI) offers promising potential to augment human analysts in cybersecurity, but its integration requires rigorous validation of the fundamental competencies that enable effective collaboration of human-GenAI teams. This research study employed a mixed-methods research project designed to evaluate human-GenAI teams, emphasizing the role of expert consensus in shaping the experimental assessment of the Fundamental Cybersecurity Competency Index (FCCI) in a commercial cyber range. We engaged 20 Subject Matter …

Security And Privacy Of Wearable And Implantable Medical Devices: A Course-Based Approach To Medical Device Cybersecurity Education, Michelle M. Ramim

Journal of Cybersecurity Education, Research and Practice

As wearable and implantable medical devices become integral to remote patient monitoring and precision medicine, the associated cybersecurity and privacy risks demand urgent attention. These devices are increasingly targeted by cyberattacks, potentially endangering patient safety and data integrity. To address this, we developed an experiential learning course titled Security and Privacy of Wearable and Implantable Medical Devices, designed for advanced undergraduate and graduate students in health and medical fields. The course immerses students in real-world challenges through lectures, labs, and project-based learning, leveraging wearable devices such as FitBit^TM to analyze and interpret real-time personal health data. The curriculum …

Assessing The Adoption And Implementation Of Port Community System (Pcs) In Thailand, Boodsayapan Thitanon, Chalongrach Waraporn

World Maritime University Dissertations

No abstract provided.

Scaling Down Safe: Can The Scaled Agile Framework Be Adopted By Small And Medium Enterprises? A Multiple Case Study, Ritchie Piessens, Pascal Ravesteyn, Benny De Waal

Communications of the IIMA

The Scaled Agile Framework (SAFe) has gained significant traction in recent years as a strategy to mitigate the risks associated with traditional front-end planning, which often results in downstream development challenges. The adoption of SAFe is not common for Small- and Medium Enterprises (SMEs), as its implementation is often perceived as complex, time-consuming and resource-intensive. However, the application of SAFe can add value for SMEs as well, when adapted and scaled down for use in those organisations. This qualitative multiple case study was undertaken to deepen our understanding of the applicability of the seven core competencies of SAFe in business …

Higher Education Cybersecurity: A Vulnerability Assessment Of The U.S. South’S Institutional Websites, Zachary W. Taylor, Vivi Vo

Journal of Cybersecurity Education, Research and Practice

As technology continues to advance, it is critical to understand how higher education institutions protect digital information of their stakeholders including students, faculty, and staff through cybersecurity measures. Although conceptual research has articulated various aspects of cybersecurity, no empirical research has explored the cybersecurity of higher education (.edu) websites through a vulnerability scan of these websites via an open PortScan and analysis. To fill a critical gap in the literature, this study conducted a vulnerability scan and open PortScan and analysis of all higher education websites in three of the lowest-income states in the United States: Louisiana (n=112), Mississippi (n=52), …

Skill Evolution In The Age Of Ai-Utilizing Text Analytics For Skill Gap Analysis To Prepare Women For Leadership Roles, Blenda G. Mutuma, Marcelline Ouma, Beth Kanyiri

Communications of the IIMA

ABSTRACT
The rapid advancement of Artificial Intelligence (AI) is transforming the global workforce, presenting both opportunities and challenges for leadership development, particularly for women. As AI automates routine tasks and redefines skill requirements, there is a growing demand for uniquely human capabilities such as emotional intelligence, creativity, and strategic thinking, qualities that are inherently strong and often highly associated with women. Research indicates that women typically score higher in emotional intelligence, particularly in areas such as empathy and relationship management, which are critical for effective leadership (Goleman, 2020). Furthermore, studies by McKinsey & Company (2022) highlight that gender-diverse leadership teams, …

Beyond The Classroom: Competition Competency Creates Cybersecurity Careers (5cs), Dan Manson, Morgan A. Zantua, Zoe L. Fowler

Communications of the IIMA

ABSTRACT

The demand for cybersecurity talent appears to be constantly growing^[1], but the statistics can be illusory. According to Wages and Employment Trends in ONET On-Line^[2] cybersecurity job openings are ranked as having a Bright Outlook, and on May 1 2025 Cyberseek listed 450,000 US job openings out of a workforce of 1.25 million. However, most entry-level cybersecurity jobs require several years of experience resulting in a mismatch between supply and demand. Despite a “hot job market”, recently minted cybersecurity college graduates without experience have a hard time securing their first “entry-level” because they don’t meet the …

Responsible Ai: Applications And Ethical Considerations, Emuesiri Oduaran, Skye Ese Oduaran

Communications of the IIMA

As artificial intelligence (AI) rapidly transforms industries and societies, its applications present both immense opportunities and significant ethical challenges. This paper explores the concept of Responsible AI, emphasizing the importance of integrating ethical considerations into AI development and deployment. It examines a range of AI applications, from healthcare and finance to autonomous systems, highlighting their potential to drive innovation while also raising concerns about bias, privacy, accountability, and job displacement. The paper evaluates the ethical principles that should guide AI design, including transparency, fairness, privacy protection, and human oversight. Furthermore, it critically analyzes the current landscape of AI governance, identifying …

Enhancing Sarcasm Detection With Contextual Factors For Improved Model Robustness Based On Bmlrf, Walter O. Yodah, Alice S. Mataruse, Never O. Kangara

Communications of the IIMA

Detecting sarcasm in text remains a critical yet challenging task in natural language processing (NLP). Despite significant advances through deep learning, particularly the use of transformer-based architecture like BERT, sarcasm detection models still face challenges in achieving high accuracy. A major limitation lies in their insufficient incorporation of contextual awareness, including conversational history, social inter- actions, emotional cues, and cultural factors. To address this, this paper proposes the BERT with Meta-Feature Logistic Regression Fusion (BMLRF) model, which in- tegrates sentence-level embeddings from a pre-trained transformer with meta-features capturing social, emotional, and cultural contexts. The model also leverages multi-turn dialogue history …

Adoption Of Blockchain Technology In Beverage Supply Chains: Drivers, Benefits, And Challenges In The Coca-Cola And Bodyarmor Sport Water Recall Case, Alexander Adams Jr., Nima Molavi

Communications of the IIMA

The beverage industry faces growing scrutiny as demands for transparency and accountability intensify. In today’s digital landscape, companies must prioritize enhanced traceability to ensure product safety, comply with regulations, maintain consumer trust, and safeguard brand reputation. This research investigates blockchain technology as a potential solution to these challenges, emphasizing its capacity to decentralize data, improve traceability, and accelerate response times during safety recalls.

The study traces the evolution of food safety regulations and analyzes current traceability practices and technological innovations within the beverage sector. Using the Coca-Cola and BODYARMOR Sport Water recall as a case study, this study examines drivers, …

An Empirical Investigation Into The Effect Of Brain Drain “Japa Syndrome” On Agile Practitioners Developing Healthcare Information Systems Software In Nigeria, Yazidu Buba Salihu, Julian M. Bass, Gloria E. Iyawa

Communications of the IIMA

Within the software engineering context, agile approaches encourage customer collaboration, iterative development, and flexibility. However, the mass exodus of highly skilled professionals, known as the “brain drain” or "Japa Syndrome," has emerged as a significant challenge, especially in Nigeria. This phenomenon has particularly impacted agile software development practitioners by undermining project continuity, knowledge transfer, and team dynamics. This study empirically examines the effect of brain drain, “Japa Syndrome,” on agile practitioners developing healthcare information systems software in Nigeria. It employed a qualitative, multi-method approach to gather empirical data from 13 agile practitioners in Nigeria’s healthcare information systems sector. The study …

Exploring Ai Corporate Governance Through The Lens Of Dynamic Capabilities, Albert Samigullin, Paul Dooley

Communications of the IIMA

As AI technologies evolve, organizations must continuously adapt their governance structures to address emerging challenges related to transparency, ethics, and regulatory compliance. Given the rapid pace of AI advancements, traditional governance approaches may not be sufficient to ensure responsible AI oversight while maintaining competitiveness. This research examines AI corporate governance through the lens of Dynamic Capability (DC) Theory, focusing on how organizations can develop the capacity to sense technological and regulatory shifts, seize opportunities, and reconfigure governance mechanisms to align with AI-driven transformation. Through a literature review and the development of an AI Corporate Governance Framework grounded in DC Theory, …