Technology and Innovation 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 …

Exploring Vr User Experiences, Sarah Ferguson, Demetrice Smith-Mutegi, Brett Cook-Snell

Teaching & Learning Faculty Publications

Virtual reality (VR) has unique potential for simulating environments and situations beyond real-life experiences. This study investigates the limitations of VR equipment design for learning spaces, specifically online environments. Presented are the findings of an exploratory study that examined the immersion, ease of use, and physiological and emotional experiences of seven university students participating in a 30–60 min VR session. Given the small sample size, the findings were analyzed with descriptive statistics and qualitatively. The results revealed that participants recognized the potential of VR as a teaching and learning tool, while also identifying certain limitations associated with health and safety. …

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 …

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 …

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 …

Interpersonal Consequences Of Employee Innovation Behavior, Shenghui Wang, Irene E. De Pater, Ming Yi, Edward Wray-Bliss

Research outputs 2022 to 2026

Existing research highlights how leadership fosters employee innovation. Less is known, however, about how supervisors react to innovative subordinates. Drawing on social comparison theory and interpersonal interaction theory, we examine the role of employee innovative behavior in eliciting supervisor envy and shaping subsequent behavioral responses. Specifically, we propose that highly innovative employees elicit envy from their supervisors and, in turn, experience more abusive supervision when both they and their supervisors are highly extraverted. In contrast, when highly innovative employees are extraverted, but their envious supervisors are not, we propose that they are more likely to experience supportive supervision. We tested …

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 …

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 …

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 …

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 …

Assessment Of Parking Facilities In Public Areas: The Case Of Keffi Town, Ayodeji Solomon Olatunji, Enogela Ahmed John, Adeyemi Adewumi Adedeji, Muhammed Loko Mikaila

CSID Journal of Infrastructure Development

The absence of adequate parking facilities in residential and public areas remains a significant issue in developing countries, often disrupting economic activities and environmental quality. In Keffi town, the increasing demand for parking exceeds the available supply, leading to congestion and inefficiency. This study evaluates the current public parking facilities, focusing on provision levels, infrastructure conditions, and management frameworks. Primary data were gathered using structured questionnaires and direct observations, with 328 valid responses analyzed through descriptive statistics. Results indicate that prolonged vehicle stays exacerbate congestion, such as at Nasarawa State University (32.8%) and Federal Medical Centre (29.1%). Parallel parking dominates …

Analytical Study On The Intensity Of Surface Urban Heat Island (Suhi) In Kaduna State, Paul Onibaba, Kolade Victor Otokiti, Oluwabukola Grace Ademola, Temitope Mercy Akanle

CSID Journal of Infrastructure Development

Urbanization and climate change are significant drivers of rising Land Surface Temperature (LST) and the formation of Urban Heat Islands (UHIs), which have emerged as pressing environmental challenges in recent decades. This study examines the relationship between Land Use/Cover (LU/C) indices and LST in Kaduna, Nigeria, using multi-temporal Landsat imagery spanning five periods from 2001 to 2021. LST values were derived from the Landsat thermal bands, while LU/C dynamics were identified using the Maximum Likelihood Classifier algorithm. LU/C indices—including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI), and Soil-Adjusted Vegetation Index …

Assessment Of Project Risk Performance Of Selected Mass Housing Infrastructures In Northern Nigeria, Chinedu Chimdi Adindu, Abdulhaqq Onoruoyiza Muhammed, Emmanuel Ashem Egila, Musa Mohammed

CSID Journal of Infrastructure Development

Mass housing projects in Northern Nigeria often suffer from insufficient risk management, impacting timely delivery, budget adherence, and quality standards. This study assesses risk vulnerabilities in selected mass housing infrastructure projects, focusing on information risks related to roles, responsibilities, scope, requirements, and operations. A mixed-methods approach was employed, with data collected from 465 construction professionals across 20 states, with a 64.58% response rate. Analytical tools, including regression and Pearson correlation, identified critical risks such as underfunding, weak project monitoring and control, and the failure to deliver end-user value. Findings reveal that these risks significantly undermine project outcomes, highlighting the need …

Strategic Knowledge Management Framework For Technology Transfer In Indonesian Joint Operation Construction Projects, Yudha Trimuliadi Suryana, Ayomi Dita Rarasati

CSID Journal of Infrastructure Development

Joint Operation (JO) construction companies in Indonesia face persistent challenges in technology transfer, including misalignment between advanced technologies and organizational capacities. Knowledge management has been proposed as a strategic solution, but its implementation remains underdeveloped. This study develops a framework to enhance technology transfer in JO construction projects through improved knowledge management practices. Utilizing a mixed-methods approach, the research combines a literature review with an analytical hierarchy process, fuzzy set theory, and a simple additive weighting method, supported by data from selected respondents involved in the Jakarta Mass Rapid Transit (MRT) project (CP201). Key findings identify knowledge acquisition, utilization, and …

Impact Of Logistics Factors On Procurement Of Construction Materials In Lokoja, Kogi State, Muhammed Etudaiye Ohida, Isa Imam, Araoye Olarinkoye Ajiboye

CSID Journal of Infrastructure Development

This study investigates the influence of logistics factors on the procurement of construction materials in Lokoja, Kogi State, aiming to identify and rank the critical elements affecting material procurement in building projects. A total of 250 questionnaires were distributed across nineteen neighborhoods in Lokoja using a random sampling technique. Data were analyzed using descriptive statistics, while the T-test assessed the significance of identified logistics factors. The findings revealed that seventeen logistics factors influence material procurement, with seven factors emerging as the most significant: on-time delivery, transportation challenges, material misdelivery, delivery inaccuracies, order processing, storage capacity limitations, and ineffective information flow. …

Overview Of Nigeria’S Infrastructural Development, Muhammad Onoruiza Audu, Otu Muhammed Adeiza

CSID Journal of Infrastructure Development

This paper offers a comprehensive analysis of Nigeria’s infrastructural development from 2014 to 2023, focusing on significant achievements and recurring challenges. The study examines key projects in transportation, energy, and housing, such as the Abuja-Kaduna and Lagos-Ibadan railways, the Azura-Edo Power Plant, and urban road upgrades. Persistent issues, including insufficient funding, regulatory inefficiencies, regional disparities, and security challenges, are also assessed. Using a mixed-methods approach that incorporates a literature review, data analysis, and stakeholder perspectives, the research evaluates the social and economic effects of these initiatives. The findings provide strategic recommendations to improve infrastructure quality and accessibility, promote sustainable practices, …

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 …

Computer-Mediated Communication And Artificial Intelligence Strategies In Arts Entrepreneurship, Anna Blake

Journal of Arts Entrepreneurship Education

This study analyzes the potential of artificial intelligence (AI) using computer-mediated communication (CMC) theory to prospect areas for innovation in an emerging field that is rapidly becoming integrated within our everyday lives as well as in the marketplace. In order to demonstrate how arts entrepreneurs can effectively and ethically leverage AI technologies to communicate with their audiences and stakeholders, I examine as case studies the work of individual artists including Grimes. The CMC framework is used to examine art as a form of communication, illustrate how AI changes the nature of art, challenge the extant concepts of identity and intellectual …

Utilizing Large Language Models To Synthesize Product Desirability Datasets, John D. Hastings, Sherri Weitl-Harms, Joseph Doty, Zachary L. Myers, Warren Thompson

Research & Publications

This research explores the application of large language models (LLMs) to generate synthetic datasets for Product Desirability Toolkit (PDT) testing, a key component in evaluating user sentiment and product experience. Utilizing gpt-4o-mini, a cost-effective alternative to larger commercial LLMs, three methods, Word+Review, Review+Word, and Supply-Word, were each used to synthesize 1000 product reviews. The generated datasets were assessed for sentiment alignment, textual diversity, and data generation cost. Results demonstrated high sentiment alignment across all methods, with Pearson correlations ranging from 0.93 to 0.97. Supply-Word exhibited the highest diversity and coverage of PDT terms, although with increased generation costs. Despite minor …