Technology and Innovation Commons^™

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 …

Ai Agents And Agentic Systems: A Multi-Expert Analysis, Laurie Hughes, Yogesh K. Dwivedi, Tegwen Malik, Mazen Shawosh, Mousa Ahmed Albashrawi, Il Jeon, Vincent Dutot, Mandanna Appanderanda, Tom Crick, Rahul De’, Mark Fenwick, Senali Madugoda Gunaratnege, Paulius Jurcys, Arpan Kumar Kar, Nir Kshetri, Keyao Li, Sashah Mutasa, Spyridon Samothrakis, Michael Wade, Paul Walton

Research outputs 2022 to 2026

The emergence of AI agents and agentic systems represents a significant milestone in artificial intelligence, enabling autonomous systems to operate, learn, and collaborate in complex environments with minimal human intervention. This paper, drawing on multi-expert perspectives, examines the potential of AI agents and agentic systems to reshape industries by decentralizing decision-making, redefining organizational structures, and enhancing cross-functional collaboration. Specific applications include healthcare systems capable of creating adaptive treatment plans, supply chain agents that predict and address disruptions in real-time, and business process automation that reallocates tasks from humans to AI, improving efficiency and innovation. However, the integration of these systems …

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: …

Digital Economy Development And Enterprise Carbon Reduction: Evidence From China, Ziyang Li, Tao Luo, Yanlin Li, Yuanyuan Wu

Research outputs 2022 to 2026

Purpose: This study examines the impact of the digital economy on enterprises carbon reduction from a micro-firm perspective. Design/methodology/approach: Drawing on China’s National E-commerce Demonstration Cities policy, this study utilizes a sample from the 2007–2015 China Tax Survey, which covers millions of enterprises, and applies a staggered difference-in-differences model for analysis. Findings: The results indicate that digital economic development significantly promotes enterprise carbon reduction. Mechanism analysis reveals that green innovation and production efficiency are key channels for this impact. Furthermore, heterogeneity analysis suggests that the emission reduction effect is more pronounced in state-owned enterprises, cities with less government regulation, highly …

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 …

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 …

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 …

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 …

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 …

Tech-Forward Learning: Text-To-Speech Impact On Catholic High School Students, Dennise A. Leyva

Theses and Dissertations

This phenomenological study was conducted to improve instructional support for diverse learners in a Southeast Florida Catholic high school by exploring teachers’ use of the Apple iPad accessibility feature, text-to-speech (TTS). Although this Catholic high school implemented a 1:1 iPad program, many teachers had limited experience using the built-in TTS feature to meet the diverse needs of students, including English Language Learners and those with reading difficulties. Teachers often used conventional approaches that failed to integrate assistive technology for inclusive and equitable learning.

The researcher conducted in-depth semi-structured interviews with six high school teachers to examine their experiences implementing the …

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 …

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 …

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 …

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 …

Citizen And Technology: The Core In Developing Human-Centric Smart Cities, Mohammed Ali Berawi, Mustika Sari, Perdana Miraj

CSID Journal of Infrastructure Development

As urbanization continues to grow, the development of smart cities has become a pivotal strategy for addressing the complex challenges of modern urban living. These cities harness advanced technologies like the artificial intelligence (AI), Internet of Things (IoT), and Digital Twin to optimize city operations, improve sustainability, and enhance the quality of life for their residents. However, the success of smart cities should not be measured by the sheer quantity of hardware and software implemented but rather by the quality of life they create for the people who live and work within them. In other words, smart cities must prioritize …