Management Information Systems Commons^™

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 …

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 …

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 …

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 …

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.

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 …

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 …

Digital Twinning For Resilient Global Supply Chains: Three Case Studies, Gawon Yun, Douglas N. Hales, Leo Hong

Markets, Globalization & Development Review

Global supply chains have vulnerabilities, and these escalate in crisis times like pandemics or wars. Digital twinning of supply chains can provide early alerts and timely interventions. We examined three companies in different industries using Digital Twin (DT) technology to improve their supply chain performance. We found that while DT successfully enhanced performance indicators, the dollar and time costs were significant, creating barriers to wider DT adoption. We conclude by outlining the positives and negatives of implementing Digital Twins in global supply chains.

The Evolving Landscape Of It Security Training In The Workforce, Robert Houghton, Chris Healy

Mountain Plains Business Conference

This research paper will investigate the current state of IT security training within organizations, exploring the challenges and opportunities associated with ensuring effective training programs. By examining existing practices, identifying emerging trends, and analyzing the factors influencing training effectiveness, this study aims to provide valuable insights for organizations, educators, and policymakers.

This paper will help identify the critical need for ongoing training to address the evolving threat landscape, the importance of tailoring training programs to meet the specific needs of different employee groups, and the challenges associated with resource allocation and employee engagement. The paper will also highlight the potential …

Feasibility Of Creating A Non-Profit And Nongovernmental Organization Cybersecurity Incident Dataset Repository Using Osint, Stanley Mierzwa, Iassen Christov

Center for Cybersecurity

Organizations of all types are prone to cybersecurity and information security attacks. Non-Profit Organizations (NPOs) and Non-Governmental Organizations (NGOs) are not exempt from using information technology solutions and, thus, have been the recipient victims of cyber attackers. There exist many areas and venues where data are collected to report back annually on the status and numbers of cybersecurity attacks against many sectors of our society. The Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) catalogs sixteen critical sectors that are considered vital to the United States. However, finding where the NPO and NGO community should reside with …

Leveraging Propagation Delay For Wormhole Detection In Wireless Networks, Harry May, Travis Atkison

Journal of Cybersecurity Education, Research and Practice

Detecting and mitigating wormhole attacks in wireless networks remains a critical challenge due to their deceptive nature and potential to compromise network integrity. This paper proposes a novel approach to wormhole detection by leveraging propagation delay analysis between network nodes. Unlike traditional methods that rely on signature-based detection or specialized hardware, our method focuses on analyzing propagation delay timings to identify anomalous behavior indicative of wormhole attacks. The proposed methodology involves collecting propagation delay data in both normal network scenarios and scenarios with inserted malicious wormhole nodes. By comparing these delay timings, our approach aims to differentiate between legitimate network …

How State Universities Are Addressing The Shortage Of Cybersecurity Professionals In The United States, Gary Harris

Journal of Cybersecurity Education, Research and Practice

Cybersecurity threats have been a serious and growing problem for decades. In addition, a severe shortage of cybersecurity professionals has been proliferating for nearly as long. These problems exist in the United States and globally and are well documented in literature. This study examined what state universities are doing to help address the shortage of cybersecurity professionals since higher education institutions are a primary source to the workforce pipeline. It is suggested that the number of cybersecurity professionals entering the workforce is related to the number of available programs. Thus increasing the number of programs will increase the number of …

Risk Identification And Mitigation In Agile Software Re-Engineering: A Case Study, Chiara Fasching, Peggy Gregory, Nicholas Mitchell, Charlie Frowd

Communications of the IIMA

Legacy software is becoming increasingly common, and many companies nowadays are facing the challenges associated with this phenomenon. In certain circumstances, re-engineering is the only logical way to deal with legacy software. Such projects, by their very nature, are subject to a wide variety of risks. The aim of this study was to begin building the basis of a risk framework that will support future re-engineering projects within Agile (Scrum) environments. An interpretive case study approach has been followed, where the case study was the first phase of a re-engineering process, with the method of analysis being inductive and reflexive …

Enhancing Email Spam Detection Through Ensemble Machine Learning: A Comprehensive Evaluation Of Model Integration And Performance, Najah Al-Shanableh, Mazen S. Alzyoud, Eman Nashnush

Communications of the IIMA

Email spam detection and filtering are crucial security measures in all organizations. It is applied to filter unsolicited messages; most of the time, they comprise a large portion of harmful messages. Machine learning algorithms, specifically classification algorithms, are used to filter and detect if the email is spam or not spam. These algorithms entail training models on labelled data to predict whether an email is spam or not based on its features. In particular, traditional classification machine learning algorithms have been applied for decades but proved ineffective against fast-evolving spam emails. In this research, ensemble techniques by using the meta-learning …