Business Commons^™

An Empirical Study Of Immersive Technology Using Desktop Augmented Reality Software For Primary School In Thailand, Orakarn Laoharutanun

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research investigates learner engagement and reuse intention in immersive learning environments through the development and evaluation of a Desktop Augmented Reality (Desktop AR) application designed for primary school students in Thailand. Grounded in the 5E instructional model and the immersive engagement framework, the study identifies four key experiential factors—presence, embodiment, enjoyment, and novelty—that influence engagement and reuse intention in immersive learning. A multi-phase mixed-method design was employed. Phase I developed and tested a theoretical model using structural equation modelling with primary students aged 11 (Pratom6). Phase II involved designing a Desktop AR learning application, followed by expert validation of …

Multimodal Wearable Intelligence For Dementia Care In Healthcare 4.0: A Survey, Po Yang, Gaoshan Bi, Jun Qi, Xulong Wang, Yun Yang, Li Da Xu

Information Technology & Decision Sciences Faculty Publications

As a new revolution of Ubiquitous Computing and Internet of Things, multimodal wearable intelligence technique is rapidly becoming a new research topic in both academic and industrial fields. Owning to the rapid spread of wearable and mobile devices, this technique is evolving healthcare from traditional hub-based systems to more personalised healthcare systems. This trend is well-aligned with recent "Healthcare 4.0" which is a continuous process of transforming the entire healthcare value chain to be preventive, precise, predictive and personalised, with significant benefits to elder care. But empowering the utility of multimodal wearable intelligence technique for elderly care like people with …

A Two-Phase Learning Approach Integrated With Multi-Source Features For Cloud Service Qos Prediction, Fuzan Chen, Jing Yang, Haiyang Feng, Harris Wu, Minqiang Li

Information Technology & Decision Sciences Faculty Publications

Quality of Service (QoS) is a key factor for users when choosing cloud services. However, QoS values are often unavailable due to insufficient user evaluations or provider data. To address this, we propose a new QoS prediction method, Multi-source Feature Two-phase Learning (MFTL). MFTL incorporates multiple sources of features influencing QoS and uses a two-phase learning framework to make effective use of these features. In the first phase, coarse-grained learning is performed using a neighborhood-integrated matrix factorization model, along with a strategy for selecting high-quality neighbors for target users. In the second phase, reinforcement learning through a deep neural network …

A Spoofing Speech Detection Method Combining Multi-Scale Features And Cross-Layer Identification, Hongyan Yuan, Linjuan Zhang, Baoning Niu, Xianrong Zheng

Information Technology & Decision Sciences Faculty Publications

Pre-trained self-supervised speech models can extract general acoustic features, providing feature inputs for various speech downstream tasks. Spoofing speech detection, which is a pressing issue in the age of generative AI, requires both global information and local features of speech. The multi-layer transformer structure in pre-trained speech models can effectively capture temporal information and global context in speech, but there is still room for improvement in handling local features. To address this issue, a speech spoofing detection method that integrates multi-scale features and cross-layer information is proposed. The method introduces a multi-scale feature adapter (MSFA), which enhances the model’s ability …

Optimal Control Of Queueing Systems With Error-Prone Servers, Junqi Hu, Sigrún Andradóttir, Hayriye Ayhan

Information Technology & Decision Sciences Faculty Publications

Consider a Markovian tandem line with finite intermediate buffers and an equal number of stations and servers. Servers are flexible but noncollaborative, so that a job can be processed by at most one server at any time. When a job is being processed, it can be damaged and wasted depending on the proficiency of the server. We identify the dynamic server assignment policy that maximizes the long-run average throughput of the system with two stations and two servers. We find that the optimal policy is either a single or a double threshold policy on the number of jobs in the …

Investing In The Age Of Generative Ai: A Gpt-Based Sentiment Analysis Approach, Xianrong Zheng

Information Technology & Decision Sciences Faculty Publications

Generative AI, which ushers a new age of AI, comes with huge economic potential. To capitalize the AI boom, investors are interested in trading AI stocks. AI chatbots, which can identify and classify the sentiment from financial news, can be leveraged for investment. So, this paper proposes a GPT-based sentiment analysis approach for trading AI stocks. Also, natural experiments are conducted to evaluate its effectiveness. Initial results show that the approach achieves a good rate of return.

Mindful Or Mindless? How And Why Virtual Communities Fail To Contain Information Pollution Across Different Disasters, Mahmudul Hasan, Varqa Shamsi Bahar, Cecil Eng Huang Chua, Michael David Myers

Business and Information Technology Faculty Research & Creative Works

People visit virtual communities to find trusted information (i.e. verifiable, accurate and reliable information) during disasters. Virtual communities are open spaces where people interact and share information. However, virtual communities often suffer from information pollution (including too much information and false or contradictory information) which decreases peoples' ability to find trusted information. Oddly, some virtual communities will develop useful practices for combatting information pollution during one disaster but subsequently fail to effectively employ the same practices or adapt them in subsequent disasters. We conducted a longitudinal, exploratory cross-case study to better understand how and why this occurs. Using the lenses …

Electrostatic Effects On The Transport And Dispersion Of Micro-Nano Pharmaceutical Powders, Mohammed Ali

Technology Faculty Publications and Presentations

A predetermined amount of micro-nano powder particles contributes to the treatment during a patient’s inhalation of the bolus of respiratory micro-nano pharmaceutical powders in an aerosolized state from commercially available inhalers. The most popular inhalers are the metered dose inhalers (MDIs) and dry powder inhalers (DPIs). While inhaling, the complicated inlet velocity profile and turbulent flow in the mouth-throat significantly impact the gaining of electrostatic charge through triboelectric charging. The inhaled particles are not only varying sizes but also polarities of charges. However, few studies have been conducted to investigate electrostatic charge force effects on particle losses in the oral, …

Confronting Indecision, Lane Allison Murray

ENGS 15.11: Design and Education

This course aims to increase students' understanding of indecision and how to confront it. The class provides insight into how the fear of the unknown holds people back from making decisions and about understanding one's values as a means to combat indecision. Students and teachers alike explore instances of indecision and evaluate their own impulses & thought processes by reflecting on the deeper reasons for their choices. Students will increase their comfort level of asking themselves and their peers questions about the values that guide them and, in doing so, strengthen their relationships with themselves and others.

Integrated Valuation Of The Ecological, Social And Economic Benefits Provided By A Multifunctional Nature-Based Solution, Laura Costadone, Shan Zhang

ODU Articles

Nature-based Solutions (NbS) offer multifunctional approaches to address climate change and environmental challenges, providing a sustainable alternative to traditional gray infrastructure. Despite their promise, widespread adoption remains limited, in part due to an incomplete understanding of their full costs and benefits relative to conventional infrastructure. Traditional benefit–cost analyses often overlook non-monetized benefits and the interconnected ecosystem services provided by NbS. This study introduces a methodological approach to quantify both the physical and monetary value of ecosystem services and co-benefits delivered by an NbS project. We applied an integrated valuation framework to a case study in Virginia Beach, VA, USA, where …

5g-Practical Byzantine Fault Tolerance: An Improved Pbft Consensus Algorithm For The 5g Network, Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng

Information Technology & Decision Sciences Faculty Publications

The consensus algorithm is the core technology of blockchain systems to maintain data consistency, and its performance directly affects the efficiency and security of the whole system. Practical Byzantine Fault Tolerance (PBFT) plays a crucial role in blockchain consensus algorithms by providing a robust mechanism to achieve fault-tolerant and deterministic consensus in distributed networks. With the development of 5G network technology, its features of high bandwidth, low latency, and high reliability provide a new approach for consensus algorithm optimization. To take advantage of the features of the 5G network, this paper proposes 5G-PBFT, which is an improved practical Byzantine fault-tolerant …

A Systematic Literature Review On Resilient Digital Transformation, Examining How Organizations Sustain Digital Capabilities, Thira Chavarnakul, Li Da Xu, Zhuming Bi, Achyut Shankar, Gaurav Dhiman, Wattana Viriyasitavat, Danupol Hoonsopon

Information Technology & Decision Sciences Faculty Publications

In an era marked by relentless technological shifts and market volatility, digital transformation (DT) alone is insufficient. Organizations must develop Resilient Digital Transformation (RDT)—the organizational capabilities required to sustain DT over a medium-term horizon—to navigate these challenges effectively. This study primarily aims to propose a guideline for fostering RDT. Drawing on the PRISMA guidelines and a systematic review of 77 peer-reviewed papers, this study identifies and synthesizes key targets and drivers across three core pillars: Technology, Organization, and External Environment. These elements collectively foster organizational resilience. Specifically, this study highlights how adaptability, innovation, and scalability form the technological underpinnings of …

A Comparative Analysis Of Preprocessing Filters For Deep Learning-Based Equipment Power Efficiency Classification And Prediction Models, Sang-Ha Sung, Chang-Sung Seo, Michael Pokojovy, Sangjin Kim

Mathematics & Statistics Faculty Publications

The quality of input data is critical to the performance of time-series classification models, particularly in the domain for industrial sensor data where noise and anomalies are frequent. This study investigates how various filtering-based preprocessing techniques impact the accuracy and robustness of a Transformer model that predicts power efficiency states (Normal, Caution, Warning) from minute-level IIoT sensor data. We evaluated five techniques: a baseline, Simple Moving Average, Median filter, Hampel filter, and Kalman filter. For each technique, we conducted systematic experiments across time windows (360 and 720 min) that reflect real-world industrial inspection cycles, along with five prediction offsets (up …

Interfaces, Social Information Processing, And Diversity Cascades: How Board Diversity Influences Invention Output, Daniel Z. Mack, Guoli Chen, Po-Hsuan Hsu, Yen Teik Lee, Gerard George

Research Collection Lee Kong Chian School Of Business

Although recent studies report a positive relationship between board diversity and firms' invention output, less is known about the mechanisms by which they operate, given that boards are typically far removed from on-the-ground invention activities. Drawing from research on interfaces and social information processing, we propose a theory of diversity cascades across the organizational hierarchy. Specifically, we posit that board diversity has a positive––albeit indirect––influence on firms' invention output. This relationship is mediated by the diversity of top management teams and inventor diversity, as board diversity cascades from the top to lower ranks of an organization. This indirect effect is …

From Normal To Disaster Response Mode: How Can Virtual Communities Reconfigure Themselves To Respond Effectively To A Disaster?, Mahmudul Hasan, Cecil Eng Huang Chua, Michael David Myers, Varqa Shamsi Bahar

Business and Information Technology Faculty Research & Creative Works

During a disaster, many people seek information from virtual communities. However, information overload, falsehoods and unrelated topics hinder information flow in virtual communities, putting disaster victims at risk. Given many disasters are generally of a short duration, we explore how virtual communities can quickly reconfigure themselves to respond effectively to a disaster. Drawing on risk society theory, our findings suggest reconfiguration is done via a series of cycles initially involving community members and subsequently featuring both community members and moderators working together to mitigate risks. We contribute to virtual community discourse on disaster response by showing how a virtual community …

A Tribute To The Life And Work Of Jess Chua, James J. Chrisman, Zhenyu Wu, Alfredo De Massis, Pramodita Sharma, Lloyd P. Steier, Franz W. Kellermanns, Josip Kotlar, Emanuela Rondi, Bingbing Ge, Chevy-Hanqing Fang

Business and Information Technology Faculty Research & Creative Works

Jess Chua was a leading scholar in the field of family business and a major contributor to Entrepreneurship Theory and Practice both as an author and editor. His significant contributions to the field were acknowledged by the Web of Science, which listed him among the world's most highly cited researchers in Economics and Business in 2017, 2019, and 2020. In this memorial editorial, we pay tribute to him by discussing his influence on the field through his academic work, mentoring, long-term collaborations with other scholars, and the kindness he and his wife, Eva Kan, showed to his colleagues and students.

Managing Digital Transformation With Blockchain: Distributed Ledger Innovation Platforms, Nobuyuki Fukawa, Gregory J. Fisher

Business and Information Technology Faculty Research & Creative Works

Realizing its overarching potential in achieving digital transformation, leading organizations, such as Air New Zealand, have recently employed blockchain technology to manage 3D printing innovation. Despite the potential benefits, including the key role of blockchain as a supporting technology in Industry 5.0, these applications of blockchain technology in 3D printing are still at a nascent stage in practice and mostly limited to producer innovation. Additionally, 3D printing and blockchain technologies are often independently revolutionizing value capture and value creation, whereas the theoretical implications of their combined impacts on innovation management remain an underexplored domain. Limited digital transformation efforts have been …

Modeling Ion-Specific Effects In Polyelectrolyte Brushes: A Modified Poisson-Nernst-Planck Model, William J. Ceely, Marina Chugunova, Ali Nadim, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

Polyelectrolyte brushes consist of a set of charged linear macromolecules, each tethered at one end to a surface. An example is the glycocalyx which refers to hair-like negatively charged sugar molecules that coat the outside membrane of all cells. We consider the transport and equilibrium distribution of ions and the resulting electrical potential when such a brush is immersed in a salt buffer containing monovalent cations (sodium and/or potassium). The Gouy-Chapman model for ion screening at a charged surface captures the effects of the Coulombic force that drives ion electrophoresis and diffusion but neglects non-Coulombic forces and ion pairing. By …

Analysis Of Technology Skill Requirements For Entry-Level Accountants, Jiane Louella Tolentino Rabara

Theses and Dissertations

This study examines the evolving impact of emerging technologies on skill requirements for entry-level accountants. Using a mixed-method approach that combines literature review and quantitative analysis of 2,257,082 job postings from 2021 to 2024 provided by the Butler Center for Research and Economic Development, the study evaluates trends in employer expectations across firm sizes and time. Chi-square tests revealed significant changes in the proportion of postings requiring technological skills (χ² = 117,672, df = 3, p < .001), indicating a shift in how technology-related competencies are presented in job ads. Specifically, while previous job postings often included general technical skills alongside traditional accounting tasks, recent job postings increasingly emphasize advanced or specialized technologies—such as ERP systems, cloud accounting platforms, and automation tools. This shift suggests that employers are moving away from broad technical expectations toward more targeted skill sets, reflecting the evolving technological demands of the profession. A separate chi-square test found a significant relationship between technological skill requirements and job ad duration (χ² = 2,309.57, df = 4, p < .001). However, no consistent pattern of longer posting duration was observed for technology-oriented roles. Literature-based synthesis further showed that large accounting firms continue to demand more advanced technological competencies than smaller firms. Overall, while traditional accounting skills remain predominant, the findings indicate a transition toward more specialized technological expectations in the entry-level accounting role.

A Plan To Revitalize The Domestic Superconducting Radio-Frequency Industry, G. Ciovati, M. Schuchman, W. Donaldson, A. Murokh, M. Naughton, D. Osha, D. Packard, J. Rathke, A. Todd

Physics Faculty Publications

Superconducting radio-frequency (SRF) cavities are essential building blocks of modern particle accelerators for scientific research, and they offer unique capabilities that could be transformative for commercial applications. Growth of the domestic SRF industry in North America has faced several challenges over the past decades, as most of the international demand for cavities was supplied by European vendors. This contribution provides a brief review of the domestic industrial vendor space, an outlook of the global demand for SRF cavities and an outline of the challenges leading to this supply chain deficiency. One of the main challenges towards establishing a robust domestic …

Omnichannel Retailing: An Exploratory Study Of Limiting The Customer Journey In A Digital-First Context, Terence L. Holmes, Edward C. Brewer, Elizabeth Patterson

Atlantic Marketing Journal

A recent retail trend is the rise of “digital-first” firms, where their merchandise is sold primarily via online efforts. In this exploratory study we describe our investigation of the customer journey for a digital-first seller of cosmetics and personal care products. We collected qualitative and quantitative data from a customer survey and follow-up interviews. Results indicate that personal connections and actual product use are the two most important touchpoints customers consider in first discovering the seller and then building a relationship with the brand. We describe practical applications of the findings and suggest ideas for future research.

Teaching Social Marketing Concepts Through Prosocial Behavior Lenses, Bela Florenthal

Atlantic Marketing Journal

This study investigates the educational value of a prosocial project embedded in a college-level marketing course. Framed through a humanistic and holistic lens, the initiative integrated acts of kindness (AOKs) to engage students in real-world application of social marketing concepts. Using a mixed-methods approach, data were collected through student reflections and surveys, revealing high levels of cognitive, emotional, and behavioral engagement. Students developed empathy, compassion, and self-awareness, reinforcing the importance of integrating experiential learning into business education. The project also addressed AACSB’s emphasis on societal impact and aligned with the UN’s Sustainable Development Goals by promoting emotional well-being and civic …

Predicting Crises On The African Frontier Stock Markets With Investor Sentiment Indicators: A Machine Learning Approach, David Korsah, Lord Mensah

Journal of International Technology and Information Management

This study examined the predictive ability of machine learning algorithms in identifying crises within African stock markets. The study employed seven distinct machine-learning models, analyzing historical stock prices from eight stock markets, three major sentiment indicators, and the exchange rates of local currencies against the US dollar, with each data spanning from May 1, 2007, to April 1, 2023. Extreme Gradient Boosting (XGBoost) emerged as the most effective algorithm for predicting crises. Historical stock prices and exchange rates were identified as the most critical features for prediction. On the sentiment side, investors’ perceptions of potential volatility on the S&P 500, …

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 …

Older People's Consumption Decisions On Technological Products From A Time Perspective, Xiaowei Huang

Dissertations and Theses Collection (Open Access)

The Silver Wave and the Technological Wave are leading social changes in the 21st century. Globally, aging populations have become increasingly dependent on technology. Smart health devices, smart home gadgets, and mental health tools can improve older adults' quality of life, enhance health management, and promote social interaction. Smart products, incorporating artificial intelligence (AI), offer enhanced support for older adults, ranging from remote health monitoring to social companionship. The improvement in AI technology, in turn, expands the potential of technological products to address older consumers’ physical and emotional needs. However, most existing studies don't address deeper personality traits such as …

A Comprehensive Academic And Industrial Survey Of Blockchain Technology For The Energy Sector Using Fuzzy Einstein Decision-Making, Umit Cali, Annabelle Lee, Barry Hayes, Claudio Lima, D. Jonathan Sebastian-Cardenas, David Flynn, Emre Kantar, Farrokh Rahimi, Kaung Si Thu, Marco Pasetti, Marthe Fogstad Dynge, Merlinda Andoni, Muhammet Deveci, Murat Kuzlu, Raquel Alanso, Kim-Kwang Raymond Choo, Sambeet Mishra, Shammya Shananda Saha, Sonam Norbu, Srinikhil Gourisetti, Ugur Halden, Vahid Hosseinezhad, Valentin Robu

Engineering Technology Faculty Publications

The global energy sector is undergoing a significant transformation driven by decarbonization and digitalization, leading to the emergence of Distributed Ledger Technology (DLT) — particularly blockchain — as a promising tool for enhancing transparency, security, and efficiency in modern power systems. This study aims to provide a comprehensive academic and industrial survey of blockchain applications in the energy sector and develop a robust decision-making framework to identify and prioritize the most promising real-world use cases based on multidisciplinary criteria. A three-stage methodology was adopted: (i) a literature and market review encompassing over 300 academic publications and commercial blockchain initiatives in …