Technology and Innovation Commons^™

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 …

How Deep-Level And Surface-Level Board Diversity, Formal And Informal Social Structures Affect Innovation, Guoli Chen, Po-Hsuan Hsu, Yen Teik Lee, Daniel Z. Mack

Research Collection Lee Kong Chian School Of Business

Despite a growing interest in understanding how board diversity shapes firms’ innovation, findings about the impact of board diversity have remained mixed. In this paper, we conceptualize board diversity as two forms – deep-level and surface-level – and find that these two forms of board diversity have opposing effects on a firm's innovation. We also theorize how formal and informal social structures can strengthen the positive effect of deep-level diversity yet simultaneously weaken the negative impact of surface-level diversity. We test our hypotheses with a panel of 42,432 firm-year observations from 2000 to 2019. Our paper contributes to the literature …

The Dark Tetrad And The Intention To Invest In Cryptocurrency, Amy Bauer-Sinicin

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Dark Tetrad comprises four distinct negative personality traits with some overlapping qualities: narcissism, Machiavellianism, psychopathy, and sadism. Characterized as being risky and speculative, cryptocurrencies are not backed by government banks like fiat currencies, nor do they offer the same privacy when engaging in transactions.

Narcissists may view cryptocurrency investment as an opportunity to showcase their financial acumen, reinforcing their self-image. Machiavellians see the decentralized, loosely regulated market as ideal for exploiting opportunities through strategic manipulation. Psychopaths, drawn by the market’s volatility, may engage in exploitative schemes for personal gain. Sadists may find satisfaction in the power and control they …

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 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 …

Insider Threat Agent: A Behavioral Based Zero Trust Access Control Using Machine Learning Agent, Michael Fojude

College of Graduate Studies: Theses & Dissertations

Hybrid work, cloud adoption, and freely available AI‑enabled attack tools have exposed critical weaknesses in perimeter‑centric security. Current breach reports attribute more than one‑third of incidents to insider misuse or credential compromise, yet many organizations still depend on static Role‑ or Attribute‑Based Access Control that neither verifies intent continuously nor adapts to subtle behavioral change. This research addresses that gap by designing and validating a behavioral based Zero Trust Access Control (ZTAC) Agent. A five‑year enterprise log Dataset was extracted and cleansed to establish a high‑fidelity baseline of normal user behavior. Feature engineering captured temporal regularity (login sequence, session duration), …

The Metaverse And Sport Fandom: Revolutionising Sport Consumption, Ashlee Morgan, Anthony Kerr

Research outputs 2022 to 2026

This article explores the potential transformative impact of the metaverse on sport consumption. While traditional sport environments cultivate a sense of communitas and liminality, where attendees experience unity and solidarity, the digital shift is redefining these dynamics. The metaverse offers new ways for sport consumers to engage, experience, and enter into an exchange. We present a model that conceptualises the multifaceted elements reshaping how sport is consumed, while also providing a framework to critically assess the implications of this transformation. We address both the opportunities and challenges presented with the expansion of virtual sport consumption and highlight legal and ethical …

The Effect Of Robot Anthropomorphism On Employee Recovery Of Robot Service Failures: The Mediation Of Employee Empathy, Jiangchi Zhang, Chaowu Xie, Songshan Huang

Research outputs 2022 to 2026

Purpose: This study aims to investigate employee responses to robot service failures. It examines how employees recover from such failures at varying levels of robot anthropomorphism, considering the mediating role of employee empathy and the moderating role of service failure type. Design/methodology/approach: Three scenario-based experiments were designed and implemented. The statistical analysis techniques adopted were independent samples t-test, multivariate analysis of variance and regression. Findings: Findings reveal: a curvilinear relationship exists between employee proactive/reactive recovery and robot anthropomorphism; employee empathy mediates this relationship; and physical affordance failures prompt low proactive and high reactive recovery for low-anthropomorphism robots, while cognitive affordance …

Enhancing Phygital Customer Experience Through Generative Ai: A Social Listening Method For Strategic Retail Decision-Making, Zahra Dahish, Shah J. Miah, Ameet Pandit, Sanjit K. Roy

Research outputs 2022 to 2026

The use of Generative Artificial Intelligence (GAI) to transform vast amounts of textual content for strategic insights have been a rapidly growing trend for business researchers. Although various studies have identified applications of GAI in business operations, aspects related to strategic support are yet to be fully developed in the relevant literature. This paper introduces a new GAI-enabled social listening solution that integrates advanced text analytics techniques: (a) Long Short-Term Memory (LSTM)–a specialized form of Recurrent Neural Network (RNN) adept at capturing long-term dependencies through its memory function over time, and (b) Google BERT (Bidirectional Encoder Representations from Transformers). Our …

Innovation Through Conceptual Research: Tips For Stoking Curiosity, Jun Wen

Research outputs 2022 to 2026

Conceptual research represents a critical step in the theory-building process and contributes innovative ideas that inspire empirical studies. This feature article highlights the importance of such research in academia with examples drawn from the tourism literature. It also critically discusses issues related to publishing conceptual research in premier journals. By using a five-dimension framework of curiosity (i.e., deprivation sensitivity, joyous exploration, social curiosity, stress tolerance, and thrill seeking), scholars can assess researchers’ conceptual topics and readers’ responses when contemplating “what's new” to gauge a paper's publication potential. Several tips are offered to guide like-minded scholars in conducting sound conceptual research: …

Sustainability Solution: Renewable Energy Innovation Against Climate Disasters, Hiva Rastegar, Aymen Sajjad, Gabriel Eweje, Kazunori Kobayashi

Research outputs 2022 to 2026

In an era where climate change poses profound threats to human life and activities, the need for innovative renewable energy solutions has never been more critical. Accordingly, this study examines the moderating effects of natural disaster uncertainty and climate policy uncertainty on firms' pursuit of renewable energy innovation following climate change–induced disasters. Through an in-depth analysis grounded in the behavioral theory of the firm and integrated with the threat rigidity model, this study explores how these uncertainties influence firms' behavior following climatic threats. Using a difference-in-difference-in-differences approach in confluence with meta-analysis, the study scrutinizes the pursuit of renewable energy innovation …

Factors Influencing The Adoption Of Artificial Intelligence Systems: A Systematic Literature Review, Ahmad A. Khanfar, Reza Kiani Mavi, Mohammad Iranmanesh, Denise Gengatharen

Research outputs 2022 to 2026

Purpose: Despite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short of expectations, leading to unsuccessful implementations. This paper aims to identify and elucidate the factors influencing AI adoption at both the organisational and individual levels. Developing a conceptual model, it contributes to understanding the underlying individual, social, technological, organisational and environmental factors and guides future research in this area. Design/methodology/approach: The authors have conducted a systematic literature review to synthesise the literature on the determinants of AI adoption. In total, 90 papers published in the field …

Application Of Enterprise Architecture To Guide The Integration Of Health Information Systems In Namibia, Laizah Mutasa, Martin Mabeifam Ujakpa, Wandisa Nyikana, Irja Shaanika, Tiko Iyamu

Research outputs 2022 to 2026

Namibia is characterized by a fragmented health-care system that has led to data inconsistencies and duplication of efforts. It has also become costly to health-care institutions to maintain these fragmented, standalone systems. This study examined how enterprise architecture (EA) can be applied to guide the integration of health information systems (HISs) in the Namibian health-care context. A qualitative approach was applied to collect data from two cases using semi structured interviews and an interpretive approach in the analysis. From the analysis, the constructs of requirements clarity, information systems and technology (IS/T) project management, systems documentation, and communication were discovered to …