Technology and Innovation Commons^™

Embodying Design Justice: A Peace Education Framework To Strengthen Relationships, Foster Trust And Build Community, Michelle Helman

Peace and Conflict Studies Journal Conference

BACKGROUND

Groups working toward creating peace and equity often focus on external innovation without addressing internal culture shifts necessary to navigate change and achieve their goals. Michelle’s doctoral research and practice address this challenge through a design research study and peace innovation project focused on organizational culture transformation through a design justice framework. Findings suggest that interweaving the framework with storytelling, arts, and embodiment practices are key to support people in navigating change processes to strengthen relationships, foster trust, and build community.

ABOUT

The workshop offers an applied learning experience for participants to explore the concepts of design and innovation …

From Miso To Tray-C: The Impact Of Hedonic And Utilitarian Name Preference On Non-Humanoid Service Robots In Restaurants, Fatmah Almeer, Amit Sharma

ICHRIE Research Reports

Service robots are become common in the restaurant industry. Robot suppliers recommend business name such robots to increase the likelihood of their acceptance by employees and consumers. The purpose of this study was to investigate the preferences of robot names representing "Utilitarian" and "Hedonic" attributes. Our findings show that study respondents had a significantly stronger preference for hedonic names compared to utilitarian names. Names with hedonic attributes were perceived positively and were considered more trustworthy. The name identified through this study was adopted for the service robot at a hospitality management program in the United States. This report also provides …

Determinants Of The U.S. Experience Economy: A Macroeconomic, Demographic, And Technological Analysis, 1984–2023, Chloe Ross

CMC Senior Theses

Pine and Gilmore et al. 1999 examine American consumers’ preferences for experiences over durable goods. Since then, there has been a multitude of research on the psychology behind this shift in consumption preferences, and there has been an abundance of media coverage of the new “experience economy.” This thesis goes beyond psychology and examines the macroeconomic, demographic, and technological determinants of experiential spending in the United States from 1984 to 2023. I use annual data from the Bureau of Labor Statistics’ Consumer Expenditure Survey (CES) and variables from the Bureau of Economic Analysis (BEA), Federal Reserve Economic Data (FRED), US …

Part Ii: Industrial Information Integration Review 2020-2025, Jinzhi Li

Information Technology & Decision Sciences Faculty Publications

Industrial Information Integration Engineering (IIIE) has become increasingly essential for improving operational efficiency and harmonizing heterogeneous industrial systems through advanced digital integration approaches. Fueled by rapid advancements in Industry 4.0 technologies—including digital twins, artificial intelligence, immersive interfaces, and IoT infrastructures—IIIE is substantially transforming traditional enterprise architecture and integration frameworks. This systematic review synthesizes recent developments and emerging trends, with particular attention to the accelerating adoption of digital twins and the deepening convergence between operational technologies (OT) and information technologies (IT) across multiple sectors. While notable progress has been made, significant challenges persist, especially in developing resilient integration architectures and fully …

Crypto Litigation And Market Efficiency, Robert E. Bishop, Bradford Levy, Frank Partnoy, Daniel Taylor, Andrew Yeh

Faculty Scholarship

This paper investigates, for the first time in the literature, the factors that should matter to courts in determining whether a crypto  market is “efficient,” meaning that prices are sufficiently responsive to information. Based on new empirical evidence and a series of event studies, we recommend a new judicial framework for assessing market  efficiency in crypto litigation.

Market efficiency tests based on event studies have played an important role in other areas of litigation, particularly securities litigation, where courts frequently rely on what have become known as the “Cammer factors.” Academics have not yet assessed the extent to which market …

Determinants Of Artificial Intelligence Adoption: Research Themes And Future Directions, Ahmad A. Khanfar, Reza Kiani Mavi, Mohammad Iranmanesh, Denise Gengatharen

Research outputs 2022 to 2026

The adoption of artificial intelligence (AI) systems is on the rise owing to their many benefits. This study conducted a bibliometric analysis to identify (1) how the literature on AI adoption has evolved over the past few years, (2) key themes associated with AI adoption in the literature, and (3) the gaps in the literature. To achieve these objectives, we utilised the Biblioshiny of R-package bibliometric analysis tool to analyse the AI adoption literature. A total of 91 articles were reviewed and analysed in this study. Four major themes were identified: AI, machine learning, the unified theory of acceptance and …

Galleriax: A Hybrid Digital Platform For Art, Technology, And Community, Catherine Wu

MA Projects

GalleriaX is a curated digital platform that brings together artists, collectors, and creative audiences through an ecosystem shaped by curation, technology, and community. The platform reimagines digital art engagement by combining editorial storytelling, membership-based participation, and long-term artist support. Rather than functioning as an open marketplace, GalleriaX offers a guided and context-driven environment where artworks, conversations, and cultural programs unfold with intention. The company operates at the intersection of art and technology, using digital tools to enhance, rather than replace, the human elements of taste, dialogue, and shared experience. Its approach blends the credibility of curatorial practice with the accessibility …

Ai Art Valuation Company: Artmetric, Zhuochen Tu

MA Projects

ArtMetric is a technology company dedicated to revolutionizing the art market. We have developed an AI-driven valuation platform designed to address the inefficiencies, high costs, and subjectivity inherent in traditional art appraisal. Users upload images of artworks through our platform to quickly receive a data-driven, and affordable valuation report. This report integrates AI visual analysis, real-time market data comparison, and optional expert verification, ensuring both speed and accuracy in valuation. Our target clients include collectors, artists, galleries, and insurance companies. We monetize through subscription services, one-time appraisals, and premium B2B solutions. As the art market accelerates its digital transformation, ArtMetric …

Becoming Art Itself: A Study On The Generative Logic And Discursive Structure Of Disability Art Incubation Institutions, Gonghui Lu

MA Theses

This study employs “Becoming” as its core analytical concept to examine how disability art incubation institutions operate at the intersection of contemporary art history and social systems as mechanisms that continuously generate both art and subjectivity. Building on Deleuze’s philosophy of becoming and Guattari’s notion of the rhizome, the study constructs a generative model linking art, institutions, and discourse. Through comparative analysis of international cases, it discusses the shift in disability art from a representational logic to a generative logic, and the dynamic oscillation between deterritorialization and reterritorialization within institutional practices. The study argues that disability art should not be …

Can Art Function As A Financial Asset Class? Conditions, Risks, And Emerging Solutions, Aurelia Labbé

MA Theses

The art market has grown significantly over recent decades, supported by rising global demand, record auction results and increasing interest from collectors pursuing financial returns. This evolution has encouraged the development of investment-oriented practices and strengthened the notion that artworks can function as financial assets. This shift takes place in a market shaped by subjectivity, opacity and limited regulatory oversight, where valuation methods, provenance documentation and professional standards remain highly uneven. These conditions make art investment particularly complex and raise essential questions about the factors that support or weaken the legitimacy of art as an asset class. This thesis examines …

Examining The Factors Influencing Citizen Adoption Of E-Government Chatbot Services In Jordan: A Longitudinal Survey Study, Ibrahim Mohamad, Laurie Hughes, Ali Abdallah Alalwan, Tegwen Malik, Yogesh K. Dwivedi

Research outputs 2022 to 2026

Many governments are focusing on adopting Artificial Intelligence (AI)-based chatbot technology to enhance work efficiency and improve e-government services. Jordan was among the first Middle Eastern countries to implement AI chatbots to offer various e-services to its citizens. While previous studies have examined the adoption of AI chatbots, they have not explored citizen adoption within the Jordanian context. This research investigates the key factors influencing citizen adoption of e-government chatbot services in Jordan by extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) theory with additional external variables. A longitudinal survey of 319 Jordanian citizens was conducted, …

The Nature Of Agency: Designing Agentic Systems Using A Biomimetic Lens, Tegwen Malik, Laurie Hughes, Yogesh K. Dwivedi, Natalie De Mello, Igor Barahona, Il Jeon

Research outputs 2022 to 2026

Purpose: This paper aims to explore how biomimetic principles can inform governance models for agentic artificial intelligence (AI) systems, autonomous, adaptive entities that challenge traditional oversight frameworks. It argues that nature-inspired governance offers a dynamic alternative to static, compliance-based models. Design/methodology/approach: This study adopts a conceptual viewpoint approach. It synthesizes literature on AI governance, systems theory and biomimicry, applying thematic analysis to existing frameworks and mapping identified gaps to five natural principles: symmetry, fractals, cymatic feedback, self-organization and phase transitions. Findings: Current governance frameworks lack mechanisms for managing emergent behaviors and distributed agency in agentic AI. The proposed biomimetic lens …

Wings Of Perception: Investigating Customer Sentiments In Indian Aviation Sector, Yashodhan Karulkar, Kaiwan Vaghchhipawala, Aditya Trivedi, Anushree Talekar

Journal of International Technology and Information Management

India's aviation sector, a key contributor to the nation's economy, has experienced rapid growth, supporting nearly 7.5 million jobs and contributing approximately $30 billion annually to the GDP (Gross Domestic Product). The growth, driven by increased demand for air travel and government incentives, has resulted in more competition among carriers. In the competitive market, it is necessary to understand customer preferences to enhance the quality of service and maintain a competitive edge. The dissemination of customer opinions on social media and review platforms offers airlines the opportunity to access passenger views. However, extracting useful information from this unstructured data is …

E-Payment Systems Use: The Role Of Cybersecurity Risk And The Moderating Effect Of Risk Propensity And Technology Readiness, Abdou Illia, Hyunsun Kim-Hahm, Thomas Ngniatedema, Mahaman Sani Yakoubou

Journal of International Technology and Information Management

Advances in digitalization have accelerated consumer migrations away from traditional cash- and check-based payment systems towards electronic payment systems worldwide. Yet, many people still remain resistant. This study examined the role of motivational and inhibiting factors and their interaction effects on the use of e-payment systems. The findings suggest that perceived cybersecurity risk, risk propensity, trust in the companies offering the e-payment services, and technology readiness have a significant direct impact on the use of e-payment systems. The findings also suggest that risk propensity and technology readiness have a tempering effect on the negative impact of perceived risk. The study …

Business Process Redesign For Reducing Undelivered Product Return Losses In E-Commerce – An Explainable Ai Approach, Venkataraghavan Krishnaswamy, Deepa R, Himanshu Sharma

Journal of International Technology and Information Management

Product returns in e-commerce affect the profitability of the e-tailer. We adopt a two-stage approach to reduce undelivered product returns in an e-commerce firm. First, we develop and compare machine learning techniques—logistic regression, decision trees, Naïve Bayes, random forest, adaptive boosting, gradient boosting, stochastic gradient boosting, and deep neural networks—on their ability to predict undelivered returns. Next, we use explainable methods, such as relative importance and Shapley values, to develop insights from the best-performing machine learning model. Finally, we use these insights and the predictive model to redesign the firm’s order fulfillment and return processes. A Post-implementation evaluation of the …

Role Of Ethical Principles And Ai Characteristics In Shaping Generative Ai Use In Higher Education And Its Impact On Academic Performance, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Behzad Foroughi, Noor Al-Qaysi, Nelson K.Y. Leung, Zaher Mundher Yaseen, Nor’Ashikin Ali

Research outputs 2022 to 2026

The rapid integration of Generative AI in higher education has transformed teaching and learning, yet limited research explores the factors driving its adoption and impact on academic performance. This study addresses the gap in understanding how ethical principles (fairness, accountability, transparency, accuracy, autonomy) and AI characteristics (perceived anthropomorphism, perceived intelligence) influence students’ use of Generative AI tools and their subsequent academic outcomes. The research aims to develop and test a theoretical model that integrates these factors to explain Generative AI adoption and its effect on perceived academic performance among university students. Data were collected through surveys from 318 students and …

Shaping The Future: Emerging Technologies And Their Role In Industry 4.0 And Beyond, Liuliu Qin

Information Technology & Decision Sciences Faculty Publications

This paper provides a comprehensive review of emerging technologies driving the transition from Industry 4.0 to Industry 5.0. It examines the foundational concepts and pillars of Industry 4.0 and explores the transformative roles of Artificial Intelligence (AI), Extended Reality (XR), Collaborative Cobots (Cobots), Brain–Computer Interfaces (BCIs), quantum technologies, and next-generation connectivity (5G/6G). By integrating technological, human-centric, and sustainability perspectives, the study outlines how these emerging technologies reshape industrial systems and enable intelligent, adaptive, and inclusive futures.

Artificial Intelligence Adoption In The Workplace. An Exploration Of Augmentation, Oyinkansola O. Sodiya

Management Dissertations

As collaborative work with artificial intelligence (AI augmentation) gains interest, it is crucial to investigate factors that affect how employees perceive and use AI tools at work. Drawing on task-technology fit and technology adoption theories, this dissertation examines the ways in which task dimensions, organizational contexts, and individual differences affect the perceived usefulness of working with AI tools. This dissertation demonstrates that task-technology fit is fundamental. Employees in jobs with high information processing demands are likely to positively perceive the usefulness of AI augmentation relative to employees in jobs with high interpersonal demands. Employees with more proactive personalities perceive greater …

The Attention Safeguard Models: Governing Digital Harm Without Restricting Lawful Speech, Delante Clark

Graduate Scholarship and Creative Works

Digital platforms increasingly govern contemporary social, civic, and psychological life through systems optimized for attention capture, amplification, and monetization. While lawful expression remains protected under the First Amendment, the infrastructural mechanisms that determine how speech circulates have produced a range of attention‑based harms, including cyberbullying, engagement farming, compulsive doom scrolling, emotional dysregulation, and civic polarization. This research paper introduces the Attentional Safeguards Model (ASM), coined and formalized by Delante Clark, as a novel governance framework that mitigates such harms by regulating systems of amplification rather than restricting expression itself. Building on attention economy theory, technological mediation, constitutional free‑speech doctrine, …

Antitrust And Tech Giants: Learning From United States V. Google Llc, Marcus D’Agostino

Fordham Journal of Corporate & Financial Law

This Note addresses the evolution of antitrust regulation and enforcement in the United States, with a focus on the recent case of United States v. Google LLC. That case is used to frame the broader problem of insufficient remedies being implemented against large technology firms. The mild remedies granted to the government in Google reinforce the findings of the 2020 Congressional Report on Digital Competition. The Report recommended changes to the antitrust laws that would revive structural separation as a remedy. This Note argues that the body of evidence presented compels structural separation to be used more frequently as the …