Business Commons^™

A Conceptual View Of Data For Decision-Oriented Databases: A Knowledge-Driven Approach, Sung-Kwan Kim, Wenjun Wang, Seunghyun Kim

Journal of International Technology and Information Management

Typical database design goes through three levels of data modeling: conceptual modeling, logical modeling, and physical modeling. In particular, conceptual modeling is important since it captures and documents user data requirements. Conceptual modeling serves as a blueprint for designing a database by defining information content to be included in a database. Presently, decision-oriented databases have no well-accepted conceptual modeling approach to apply. While some use conceptual modeling approaches for transaction-oriented databases such as the ER (Entity-Relationship) model, they are not well-suited for decision-oriented databases. It is hard to map from the ER Model to decision-oriented data models. Others attempt to …

Preventive Health Care Information Seeking Behaviors Among Baby Boomers In Taiwan, Alexander N. Chen, Michael J. Rubach, Tracy Suter, Hsin Ke Lu, Mark E. Mcmurtrey

Journal of International Technology and Information Management

Preventive health care is widely acknowledged as one of the most effective ways to reduce medical costs and enhance people's health. Preventive health care information (PHCI) is a crucial component. This study examines the PHCI-seeking behaviors of Taiwanese baby boomers. The study found some support for the idea that the preferred media used influenced the likelihood of Information seeking behavior. People with good health conditions were found to be more likely to seek PHCI, while people with greater health care needs sought out PHCI less frequently. The study examined social influences, which were found to be important. Three different types …

Pedagogy In The Age Of Ai: Exploring Generative Ai For Higher Education, Alison Munsch Phd

Journal of International Technology and Information Management

Generative Artificial Intelligence (AI) presents transformative opportunities for higher education, enabling personalized learning, enhanced student engagement, and efficient pedagogical practices. This tutorial-style article guides educators in integrating generative AI into their classrooms through hands-on activities, practical strategies, and reflective exercises. It explores the capabilities of AI tools such as ChatGPT, their applications across disciplines, and the ethical considerations for their use. By cultivating critical thinking and fostering student readiness for AI-driven futures, this article underscores the transformative potential of generative AI in higher education with an emphasis on the academic areas of business analytics, information systems, and computer science.

Surviving And Thriving In The Hybrid Cloud: A Review Of The Current Cloud Computing Landscape, Peter Munsch, Alison Munsch

Journal of International Technology and Information Management

Background and Purpose

Both academic and industry institutions have increasingly migrated essential services to public cloud providers (e.g., Microsoft, AWS, Google) with mixed outcomes. Some industry leaders attempted to fully replace their on-premises data centers with public cloud services, a move not advised without thorough performance and cost analyses (Potel, 2023). Despite some organizations pulling back from the “Cloud First” strategy, the public cloud services market continued to grow, with revenue increasing by approximately 20% year-over-year since 2020 and surpassing half a trillion dollars in 2022 (IDC Worldwide Semiannual Public Cloud Services Tracker, 2H 2022). Cloud technologists suggested that hybrid …

Predicting Global Healthcare Supply Chain Delays: A Machine Learning Approach Leveraging Country-Level Logistics Metrics, Jeevan Sai Gali, Nima Molavi, Sepideh Alavi

Journal of International Technology and Information Management

In global healthcare logistics, ensuring the timely delivery of medical commodities is critical, particularly in low- and middle-income countries characterized by infrastructural limitations and operational uncertainties. This research introduces an advanced, data-driven predictive framework designed to forecast delivery delays by synthesizing granular, internal shipment-level data from the USAID Global Health Supply Chain Program (GHSC-PSM) with external country-level logistics capabilities indicators derived from the World Bank’s Logistics Performance Index (LPI). Rather than relying on retrospective trend analyses, this study employs machine learning algorithms such as Random Forest, XGBoost, Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP) to detect …

Modeling Healthcare Managerial And It Sophistication, Gary Hackbarth, Teuta Cata

Journal of International Technology and Information Management

Sophisticated healthcare managers understand that managing information and selecting technology are two related but separate skill sets. Information Technology Governance (ITG) allows healthcare organizations to deal with complex issues, compete effectively, and support patient needs by integrating managerial and IT sophistication to improve business performance. An organizational model that merges IT and managerial sophistication by improving ITG to forecast business outcomes must grasp the intricacies of technology to acquire, manage, and utilize information technology in alignment with business strategies. The proposed model differentiates between internal and external IT management strategic thinking, emphasizing the critical need to govern IT effectively by …

A Bounded Custom Gpt Structures Operational Knowledge For Small-Industry Decision Support, Ikhwan Arief, Alizar Hasan, Nilda Tri Putri, Hafiz Rahmann

Knowledge Engineering and Data Science

Small manufacturing and craft-based firms increasingly use Generative Artificial Intelligence (GenAI) through public chat interfaces, low-cost tools, and informal experimentation. However, these firms often make operational decisions with incomplete records, tacit owner knowledge, fragmented spreadsheets, and limited managerial capacity. Under such conditions, open-ended chatbots may generate fluent but unsafe recommendations by overlooking missing information, contradictory evidence, feasibility constraints, and implementation constraints. This study presents Asisten Cerdas Industri Kecil as a bounded Custom GPT artifact for operational diagnosis, priority selection, and short-horizon action planning in small industries. Using a Design Science Research approach, the study develops a documented artifact corpus comprising …

Interactive Visualization Workflows For Mitigating Analytical Uncertainty, Kaustav Bhattacharjee

Dissertations

This dissertation takes a process-centric and stakeholder-first perspective for handling analytical uncertainty: the form of uncertainty that confronts data analysts' insight-generation processes in high-consequence decision-making scenarios. The cost of an incorrect decision when data is used for movie recommendations as opposed to when personal data is used to drive insights or when data-driven modeling is used to drive real-time decisions for maintaining the health of a grid are vastly different in terms of consequences. This dissertation looks at analytical uncertainty in two real-world scenarios: i) how sensitive information leakage can be prevented during the open data release process with data …

Digital Twin And Cybersecurity In Additive Manufacturing, Lidong Wang

Journal of Cybersecurity Education, Research and Practice

Additive manufacturing (AM) has been applied to automotive, aerospace, medical sectors, etc., but there are still challenges such as parts’ porosity, cracks, surface roughness, intrinsic anisotropy, and residual stress because of the high level of thermal gradient. It is significant to conduct the modeling and simulation of the AM process and achieve quality products. Digital Twin (DT) can help AM with forecasting defects/errors through simulation and real-time process monitoring. DT is a concept of Industry 4.0, and its digital structure reflects the real-time behaviors of a cyber-physical or physical system. This paper introduces the progress of DT applications in AM, …

Volume 7 (2024) Artificial Intelligence And Responsibility, Arwa Alnajashi, Danielle Derise, Philip L. Frana, David Mcgraw, Amanda Sawyer, Tatjana Titareva, Raafat Zaini, Allie Zombron

International Journal on Responsibility

The seventh volume of the International Journal on Responsibility (IJR) arrives at a crucial moment in the evolution of artificial intelligence and its integration into our academic and social fabric. As we witness the rapid advancement and deployment of AI systems across various domains, this special issue examines the multifaceted dimensions of responsibility surrounding AI technology, with a particular focus on its role in higher education and broader societal implications.

The articles in this volume contribute to our understanding of responsibility through diverse lenses, from classroom implementation to ethical design considerations. Together, they fulfill IJR’s central mission of exploring “Who …

Imagining The Future Of Records Management: An Analysis Of The Srikandi In Indonesia Through Documentation Studies, Suprayitno Suprayitno, Rahmi Rahmi, Zulfatun Sofiyani

Proceedings from the Document Academy

The SRIKANDI application, a cornerstone of Indonesia's digital records management initiative, embodies the nation's commitment to modernizing governance through electronic systems. This study employs Niels Windfeld Lund’s Complementary Documentation Analysis Model to dissect SRIKANDI'S evolution (diachronic analysis) and its current state (synchronic analysis), offering a comprehensive understanding of its role in Indonesia's e-government landscape. Diachronically, SRIKANDI'S development reflects a strategic shift from fragmented, standalone applications towards a unified, interoperable platform, as mandated by Presidential Regulation No. 95 of 2018. This transition aims to streamline government processes, reduce redundancy, and enhance budget efficiency. Synchronically, SRIKANDI is evaluated as a digital platform …

Potential Impact Of Artificial Intelligence On Small And Medium Enterprises Innovation In The Eu: A Perspective From Poland, Malgorzata Wilczynska, Alina Walenia, Artur Dabek, Daniel Salabura, Halina Kot

Markets, Globalization & Development Review

The development of small and medium-sized enterprises is a complex process that requires the use of all approaches to achieve success. In this regard, finding opportunities to use artificial intelligence in such companies is of great importance. The study aims to assess how this technology affects the innovation and financial performance of small and medium-sized enterprises. To draw the main conclusions, the implementation of artificial intelligence at Polish enterprises, including in the context of their financial performance, namely the level of return on assets and the level of debt, was analysed. The study showed that the introduction of artificial intelligence …

Evaluating The Perceived Benefits Of Education In Revenue Cycle Management And The Impact On Medical Claims Reimbursement, Jessica L. Miller

Student Dissertations

Efficient Revenue Cycle Management (RCM) is essential for healthcare organizations to ensure timely and accurate reimbursement for medical claims. The research problem was the significant inadequacies in RCM process in medical billing that has resulted in financial burdens imposed on providers, patients, and the organizations that provide medical services. There are clearly identified educational gaps in RCM that contribute to claim denials, delays, and revenue loss, underscoring the need for robust training programs. The purpose of this study was to explore the perceived impact of education in RCM on medical claim reimbursement outcomes within the U.S. healthcare system. The study …

Esg Ratings In The Mining Industry: Factors And Implications, Mahelet G. Fikru, Jennifer Brodmann, Lili Eng, J. Andrew Grant

Economics Faculty Research & Creative Works

While previous research explores the relationship between ESG ratings, firm size, and financial outcomes, there is a lack of comprehensive analysis comparing multiple ESG ratings within the mining industry. This gap is crucial given the increasing focus on ESG in mining operations and its potential impact on company performance. Based on proprietary financial and ESG ratings data from 200 mining companies, this study investigates the relationship between two different ESG ratings and firm characteristics. We compare ESG-rated firms with unrated firms in terms of firm size, and financial performance indicators, and explore country-level patterns in ESG ratings. Findings reveal that …

Striking A Balance: Market Shock & Responses In Automotive Components Manufacturing, Emma Lane Mcgahey

All Theses

This thesis examines the effects of extreme market shocks on supply chain dynamics within the automotive industry. Through an analysis of demand data from an automotive manufacturer to its component suppliers (January 2018 to May 2024), the study investigates the relationship between market shocks and supply chain responses, providing insights into how auto components inventory management handles downstream responses to market shocks. With supporting public data—from FRED, BLS, and the U.S. Census Bureau resources—we explore two primary relationships: the impact of market shocks on the Average Standard Deviation of Demand (SDO) and the effect of demand variability on expedited pricing …

Flexible Vs. Dedicated Technology Choice In The Presence Of Multiproduct Subscription Programs, Liling Lu, Onur Boyabatli, Sarah Yini Gao

Research Collection Lee Kong Chian School Of Business

Recently, automotive manufacturers have started offering multi-car subscription programs that give customers access to a menu of car models with possibility of switching between the models. The maintenance and depreciation costs during the program are borne by the manufacturers before the cars are sold in the pre-owned market. This paper studies how offering such a subscription program shapes the firm’s flexible versus dedicated technology choice and capacity investment decisions. We consider a two-product firm that makes these decisions under uncertain demand in a single subscription period. The firm faces two types of demand based on which product is requested at …

The Practical Adoption And Application Of Blockchain Technology Within The Beverage Industry, Alexander Adams Jr

Electronic Theses, Projects, and Dissertations

Abstract

The beverage industry is facing heightened scrutiny as the demand for transparency and accountability reaches new heights. In the age of information technology, companies must prioritize enhanced traceability to ensure product safety, comply with government regulations, maintain customer trust, and protect brand integrity. This thesis explores the potential of blockchain technology as a solution to these challenges, focusing on its ability to decentralize data, improve traceability, and expedite response times during safety recalls. The research provides an overview of the evolution of food safety regulations, beginning with the first establishment by Upland Sinclair, and examines current traceability practices and …

Redefining Research Impact: Developing And Evaluating Modified H-Indexes For Comprehensive Academic Assessment, Nash Mayhue Minton

Theses and Dissertations

In academic research, the h-index has gained prominence as a useful metric for gauging the impact and productivity of researchers. This thesis seeks to provide a general overview of the h-index by providing information on the positive applications that the h-index utilizes, as well as the faults and limitations that diminish its utility. This thesis aims to combat the bias of hyper-authorship, which inherently inflates researchers' h-indexes by disproportionately attributing credit to individuals in multi-author publications, as well as provide other indices that could prove to be a possible replacement index or to be used as a basis for creating …

Perceived Risk Mediation Of Website Quality In Online Clothing Shopping In A South African Township, Khathutshelo M. Makhitha, Rodney G. Duffett

The African Journal of Information Systems

South Africa lags behind other economies regarding online shopping adoption. Extant literature has focused on the influence of risk factors on consumers’ intention to shop online. However, few studies have considered the effect that mediating factors can have on relationships between other factors related to online shopping. It is particularly important to determine the mediation effect of perceived risk factors on the relationship between perceived website quality and intentions to shop online. A quantitative survey was used to collect data from 300 online shoppers who purchase clothing online and are located in the Soweto Township in Gauteng, South Africa. Perceived …

Data Security In The Apple Ecosystem: An Evaluation, Kayrene Woods

Cybersecurity Undergraduate Research Showcase

This study provides a comprehensive evaluation of data security within the Apple ecosystem, focusing on the company’s privacy policies, user perceptions, and the effectiveness of its App Store review processes. Employing an interdisciplinary methodology, the research examines Apple’s commitment to data protection, emphasizing transparency and user trust. A survey of user experiences revealed varying levels of engagement and understanding of Apple’s privacy practices, with only 32.8% of respondents having read the Privacy Policy and mixed opinions on its clarity. Additionally, concerns persist about third-party app security, with 39.7% of users expressing apprehension and skepticism about Apple’s App Store review process. …

Antecedents And Outcomes Of Big Data Adoption In Supply Chain, Alok Raj, Rajeev Ranjan Kumar, Anand Jeyaraj

Management Information Systems Faculty Publications

This paper aims to provide a comprehensive understanding of the big data–performance relationship based on the existing empirical evidence. Using a meta-analysis approach, big data adoption (BDA) related 446 effect sizes reported in 133 prior empirical studies were gathered from 118848 informants in more than 30 countries. Results confirm ten significant antecedents and eight outcomes of BDA based on identified literature. We further estimate the heterogeneity based on subgroup analysis by considering two types of moderators as (a)economic regions (developed vs developing), and (b) type of industry. We find that organizations in developed countries adopt big data largely due to …

Beyond Human-Centric Models In Cybersecurity Education: A Pilot Posthuman Analysis Of The Nice Workforce Framework For Cybersecurity, Ryan Straight

Journal of Cybersecurity Education, Research and Practice

This study applies a posthuman lens to the National Initiative for Cybersecurity Education (NICE) Workforce Framework, examining two key Work Roles in cybersecurity education. Employing a novel posthuman coding scheme, the associated Tasks, Knowledge, and Skills (TKS) statements were analyzed. Findings reveal significant posthuman elements within the framework while identifying opportunities for further integration. The analysis demonstrates a strong presence of human-technology entanglement and adaptive learning concepts, yet highlights areas where the framework could emphasize system complexity and interconnectedness. This research contributes to ongoing discussions on cybersecurity education in complex technological landscapes, proposing a theoretical framework for integrating posthuman concepts …

Navigating The Landscape: Perceptions, Motivations, And The Journey Of Data Professionals In Implementing Data Processes And Procedures, Willie Rivers

Dissertations

This explanatory study investigates the motivations behind data professionals' willingness or resistance to implementing data policies and procedures, utilizing the Theory of Planned Behavior and Psychological Ownership as frameworks. Through interviews with 21 data professionals, the research explains how factors such as perceived control, ownership, and attitudes towards data processes influence their motivation. The study tests key propositions, including the impact of perceived time burdens, bureaucratic procedures, and organizational expectations on data governance engagement. The findings underscore the critical role of control and access to information in motivating the adoption of data policies, providing insights for organizations aiming to enhance …

The Impact Of Cash Holding Decisions On Firm Performance In The It Industry, Jaeseong Lim, Bong Keun Jeong

Accounting

This study examines the relationship between corporate cash holdings and firm performance within the IT industry, which is characterized by intense competition and rapid technological advancements. We propose an integrated framework that combines principal component analysis (PCA), machine learning (ML) algorithms, and Shapley additive explanation (SHAP) values to estimate and interpret model outcomes. Based on 21,051 corporate financial statement data items from 2004 and 2023, the empirical evidence supports an inverted U-shaped relationship between cash holdings and profitability, suggesting that holding either too little or too much cash is suboptimal. Among the tested models, the random forest demonstrates the highest …

Knowledge “Hiding And Seeking” During The Pandemic: Who Really Wins In The New Normal?, Kim-Lim Tan, Ivy S. H. Hii, Chuen Kong Kevin Cheong

Research Collection Lee Kong Chian School Of Business

PurposeThe recent COVID-19 pandemic caused a severe economic downturn. Employees working in these organisations face employment uncertainty. The pandemic disrupted their daily routines, and it added a layer of complexity to the already resource-constrained environment. During these times, employees would conserve their resources to maintain competitiveness, one of which is knowledge hiding. While economic activities are resuming, the appearance of new variants could mean the transition towards endemicity could be put on hold. Hence, there is a need to rethink the behaviour of employees as they would have elevated levels of anxiety towards resuming daily work activities. Therefore, this study …

Catching The Digital Wave : Jumbo Group Shows How Digital Transformation And Its Seafood Business Can Go Together, Xuesong Geng, Andrew Chin, Thomas Lim

Research Collection Lee Kong Chian School Of Business

JUMBO Group shows how digital transformation and its seafood business can go together.

Implementation Of Information Systems In Local Government Authorities: Understanding Of The Role Of Reforms In The Designing Process, Wilson Pholld, Faraja T. Igira, Nima H. Shidende

The African Journal of Information Systems

Government reform implementations are often a catalyst for system implementation within public sectors. However, their influence on the information system design process in the public sectors have not been explained extensively in the literature. This study used actor network theory as the lens to examine the interactions of actors during the information systems design process in the reformed public sectors. The main research aims were to extend the understanding of how government reforms influence the information system design processes of local government authorities in Tanzania. The study employed the interpretive approach and the case study strategy when analyzing the phenomena. …

Wormhole Attack Mitigation In Wireless Network Using Propagation Delay, Harry May, Travis Atkison

Journal of Cybersecurity Education, Research and Practice

This paper presents a novel approach for mitigating wormhole attacks on wireless networks using propagation delay timing. The wormhole attack is a persistent security threat that threatens the integrity of network communications, potentially leading to data theft or other malicious activities. While various methods exist for combating wormhole attacks, our approach offers advantages that set it apart. Our approach involves a combination of proactive and reactive measures, harnessing box plot analysis and weighting factor techniques to identify and isolate outlier node links effectively. Unlike traditional methods, our solution not only detects outlier links but also defines dynamic weighting factors, providing …

How Can Researchers Be Influenced To Comply With Guidelines Of Research Data Management?, Rowena Van Houwelingen, Guido Ongena, Pascal Ravesteyn

Communications of the IIMA

How come Open Science is a well-shared vision among research communities, while the prerequisite practice of research data management (RDM) is lagging? This research sheds light on RDM adoption in the Dutch context of universities of applied sciences, by studying influencing technological, organizational, and environmental factors using the TOE-framework. A survey was sent out to researchers of universities of applied sciences in the Netherlands. The analyses thereof showed no significant relation between the influencing factors and the intention to comply with the RDM guidelines (p-value of ≤ .10 and a 90% confidence level). Results did show a significant influence of …

Happy Hours, Not Office Hours: Socially Engaging Cybersecurity Students In A Large Online Graduate Course, James T. Mccafferty

Journal of Cybersecurity Education, Research and Practice

Engagement is a critical part of student learning and student success. This is especially true in online classes where students have less interaction with their classmates and instructors when compared to traditional face-to-face courses. Research on engagement has shown that when students are meaningfully engaged it can increase student satisfaction and it may also increase levels of academic achievement, including grades earned and degree progression (e.g. Wong et al., 2024). This paper focuses on social engagement in a graduate cybersecurity program that uses large, expandable online courses as described by Whitman and Mattord (2023). Large online graduate classes (i.e., more …