Technology and Innovation Commons^™

Firms’ Darq Readiness And Marketing Implications: A Systematic Literature Review, Ali N. Tehrani, K. Roy, Richard Gruner

Research outputs 2022 to 2026

Purpose – This study aims to systematically review literature across diverse disciplines, including marketing, management and information systems, to synthesise insights on firms’ readiness to adopt and implement DARQ technologies and their marketing implications. DARQ technologies are emerging and cutting-edge technologies, including Distributed Ledger Technology, Artificial Intelligence, Extended Reality and Quantum Computing (hence, DARQ). Design/methodology/approach – Through a systematic review of over 2, 500 papers across three databases, this study distilled a focused sample of 88 papers. It comprehensively explores the reported dimensions, antecedents, outcomes and marketing implications of firms’ readiness for DARQ technologies. Findings – This study identified three …

From Disruption To Replacement: The 2026 Cae Cybersecurity Community Symposium And The Emerging Federal-Academic Compact For An Ai Workforce, Sunday Oludare Ogunlana

Journal of Cybersecurity Education, Research and Practice

The cybersecurity workforce gap in the United States is estimated at several hundred thousand unfilled positions, and the rapid integration of artificial intelligence into adversary tradecraft and federal cyber operations is widening that gap qualitatively as well as quantitatively, threatening national security and the operational readiness of graduates entering the field. This perspective article synthesizes the principal arguments advanced by five federal and academic speakers at the 2026 CAE Cybersecurity Community Symposium, using verbatim session transcripts, a structured thematic extraction process, and triangulation against published workforce policy and peer-reviewed literature. Findings document a unified speaker thesis that artificial intelligence now …

Keeping Up With The Times? Rethinking Social Evaluations Research Under Contemporary Technological And Sociopolitical Forces, Marco Clemente, Michael Etter, Yuliya Snihur, Gokhan Ertug, Graffin Scott, Anastasiya Zavyalova

Research Collection Lee Kong Chian School Of Business

The context within which social evaluations form has been fundamentally altered by contemporary forces, such as digital technologies, polarization, activism, politicization of business, and geopolitical tensions. While research on social evaluations has generated rich insights into the formation and development of constructs, such as legitimacy, status, reputation, stigma, trust, and celebrity, much of this work has been developed under the assumptions of relative stability, coherent audiences, and well-defined intermediary roles. These assumptions are increasingly challenged in this changing context, requiring us to rethink the formation and management of social evaluations. The articles in this special issue focus on these changes. …

Patent Analyses And Technology Forecasting: Advances Into Artificial Intelligence Technologies, Sarah Over, Emma Jiren Wang, M. Shehryar Khan

Journal of the Patent and Trademark Resource Center Association

For several decades, patents have been utilized in analyzing technology and forecasting future trends. Historically, this has been done via keywords, citations, and some bibliometric approaches. The efficiency that is promised by artificial intelligence (AI), machine learning, natural language processing, and related technologies has also heavily entered the domain of intellectual property. There is a growing body of research that is using AI technologies to analyze, learn, and make predictions for patents. Some of the most common applications in practice are those that assist searchers and examiners in review of patents. Journals such as World Patent Information have even developed …

Ai-Augmented Financial Advisors: Comparing Ai And Human Analyst Investment Recommendations In Agreement, Performance, And Firm Size Effects, Crystal Chen

Honors College Theses

This study examines the level of agreement and performance between artificial intelligence (AI) generated investment recommendations and human analyst recommendations across U.S. publicly traded firms. Using a sample of twelve companies categorized by firm size (large, mid, and small), the study collects buy, hold, or sell recommendations from generative AI systems and human analysts. Agreement between AI-to-AI and AI-to-human recommendations is measured using Cohen’s Kappa agreement. Portfolio performance is evaluated by constructing equal-weighted portfolios for each recommendation source and size category. Risk-adjusted returns are measured using the Sharpe ratio over 1-, 2-, and 3-month periods. Furthermore, the study tests whether …

Generative Ai’S (Genai) Impact On Sales Performance: An Empirical Study On Business-To-Business Sales Process, Michael Rodriguez, Michael Rodriguez, Mike Krush, Dawn Deeter-Schmelz

Atlantic Marketing Association Proceedings

No abstract provided.

When Humans Stop Thinking: Cognitive Offloading, Atrophy Risk, And The Design Of Human-Ai Intelligence, Pravinya Mandalapu, Adriane B. Randolph, Andrea Taylor

Proceedings of the Cognitive Innovation Conference (CognoCon)

As artificial intelligence (AI) systems proliferate across professional and everyday contexts, humans increasingly rely on these tools to perform cognitive tasks they once carried out internally. This phenomenon of cognitive offloading extends beyond the use of traditional aids like calendars or calculators, raising foundational questions about how deep reliance on AI reshapes human cognition itself (Risko & Gilbert, 2016). While offloading can enhance immediate task performance, emerging evidence suggests meaningful costs to memory retention, judgment quality, and creative autonomy (Burnett & Richmond, 2025; Risko et al., 2023). Drawing on seminal work by Cliff Nass and colleagues on media multitasking, task-switching, …

Chatgpt In Higher Ed: How To Navigate And Incorporate, Emory Hiott, Darin Gerdes

Atlantic Marketing Association Proceedings

No abstract provided.

Columnas: The Honors Program Newsletter At Bentley University, Amanda Li, Wilson Jan, Michael Raphael, Alexandra Rieckehoff, Karina Wu, Michael Shehata, Nilufar Noorian, Eloise Weintraub

Honors Program

INSIDE THE MODERN WORLD

Page 2: Stepping Out by Amanda Li

Page 3: Inside the Corporate Slop Bowl by Wilson Jan

Page 4: The Silencing: An Evaluation of the Global Attacks on the Right to Protest by Michael Raphael

THE SOUND OF CHANGE

Page 5: The Social, Cultural, and Economic Impact of Bad Bunny by Alexandra Rieckehoff

Page 6: Streaming Changed Music, But Is It Fair to Artists? by Karina Wu

Page 7: Feeling the Music: How Haptic Wearables Are Changing the Way We Experience Sound by Michael Shehata

SHIFTING SYSTEMS

Page 8: The Story Behind Davos, One of the …

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 And Consumer Well-Being: A Cross Domain Systemic Review, Setar Lytle, Mahesh Gopinath

Marketing Faculty Publications

Artificial intelligence (AI) is increasingly embedded in everyday consumption, yet evidence on its longer-term implications for consumer eudaimonic well-being remains dispersed across disciplines and application contexts. This review integrates that literature to clarify the domains, theoretical explanations, and conditions through which AI shapes consumer well-being. Following PRISMA and SPAR-4-SLR procedures, we reviewed research published from January 2010 to January 2026. From 6058 records, 480 studies across psychology, business, and human-technology interaction met the inclusion criteria. The evidence is organised through psychological, social, and technological perspectives and identifies six interconnected domains: mental health, cognitive development, physical health, personal growth, autonomy and …

The Role Of Healthcare Leaders’ Perceived Emotional Intelligence In Staff Acceptance Of Artificial Intelligence Tools, Daniel Brian Mcswain

Doctor of Business Administration Dissertations

Artificial intelligence tools are increasingly used in healthcare, but successful implementation depends on more than technical deployment. Staff acceptance is one important factor that influences whether AI tools are used in practice. Traditional technology acceptance research has emphasized perceived usefulness, ease of use, social influence, and facilitating conditions. Less attention has been given to the role of emotional intelligence and trust during an AI-related change. The purpose of this research was to examine the relationship between healthcare leaders’ perceived emotional intelligence and their clinical team’s behavioral intention to use AI tools. The study also examined whether age moderated this relationship …

Governing Generative Ai In Higher Education: A Global Delphi Study On Policy And Practice, Helen Crompton, Diane Burke, Christine Nickel, Aras Bozkurt, Fengchun Miao, Mike Sharples, Jeffrey Alan Greene, David Parsons, Lucy Gill-Simmen, Adam Edmett, Mark Pegrum, Inge De Waard, Curtis J. Bonk, Manuel B. Garcia, John H. Curry, Leeann Lindsey, Mohan Yang, Stephen Marshall, Maha Bali, Nellie Deutsch, Suzaan Le Roux, Mourad Benali, Mohd Ali Bin Samsudin, Hasan Tinmaz, Matthew L. Bernacki, Mari Van Wyk, Lenandlar Singh, Agnes Chigona, Lance Eaton, Junhong Xiao, Johanna Velander, Jinhee Kim, Francisco Bellas, R. Rajalakshmi, Andréia De Bem Machado, Agnieszka Palalas, Sean Yu

STEMPS Faculty Publications

As GenAI technologies become more pervasive in higher education (HE), scholars call for guidance on AI governance. To meet this need, a Delphi technique and collective writing was used in gathering expert perspectives from across 22 countries/locations and six continents. This resulted in the development of a HE GenAI policy/guidelines framework with eight core areas: (1) academic integrity, (2) ethical use and responsible use, (3) privacy and protection, (4) equitable access, (5) GenAI literacy, (6) integration strategy, (7) human oversight and accountability, and (8) institutional support and infrastructure. In addition, a six-part framework was developed to ensure that policies remain …

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 …

The Impact Of Ai Service Workers On Opportunistic Complaint Behavior, Chelsi J. Baker

Graduate Theses, Dissertations, and Problem Reports (ETD)

Consumer complaint behavior research has traditionally focused on interactions between customers and human employees, leaving open questions about how these behaviors may change when the service agent is artificial intelligence. This research looks at whether customers are more likely to engage in opportunistic complaint behavior when interacting with AI service agents and explores what might explain that behavior. The results show that customers are more likely to behave opportunistically when interacting with AI service agents than with human employees. Perceived morality helps explain this relationship, as more human-like service agents increase the extent to which exaggerating a complaint is seen …

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 …

State Of Technology Usage In Smaller Public Accounting Firms In 2025, Arun Kumararaj, Candice Hux

Honors Capstones

Prior research gives significant attention to technology usage of large public accounting firms, particularly the Big 4. However, limited evidence exists on the smaller public accounting firms, which constitute a majority of the public accounting field. In this study, we conducted semi-structured interviews with eight highly experienced professionals of smaller accounting firms. Findings reveal that firm size does not necessarily predict technological sophistication. Rather, individual leadership, including a single partner, emerges as a critical driver towards technological advancement. AI was primarily used for administrative tasks and, as of yet, the return on investment has been unclear. Despite this, all interviewees …

From Prompt To Prejudice: Visual Evidence From Ai Image Generation Platforms, Jinu K. Varghese, Padma Rani

Markets, Globalization & Development Review

This study examines how AI image generation systems perpetuate digital orientalism through systematic cultural representation patterns that increasingly shape global digital markets and international development discourse. Using visual social semiotics methodology, we conducted comparative analysis of Midjourney and ChatGPT platforms across nine culturally specific prompts examining religious imagery, contemporary social dynamics, and power structures in Indian cultural contexts. Our findings reveal that both platforms consistently reproduce colonial-era representational frameworks despite culturally sensitive prompting and advanced technical capabilities. The analysis identifies three systematic patterns: temporal displacement strategies that acknowledge modernity while containing it within orientalist categories, institutional validation requirements that privilege …

Software-Defined Networking Powered By Ai-Driven Anomaly Detection, Dina Moloja, Vusumuzi Malele Prof

Journal of Cybersecurity Education, Research and Practice

Software Defined Networking (SDN) revolutionizes network control by separating the control plane from the data plane. Although the latter improves SDN agility and scalability, it creates a security hole, particularly in a central control plane, leading to SDN environments becoming high-profile targets for advanced cybersecurity threats. Due to static and signature-based point-in-time behavior, traditional security methods are unable to keep up with modern attacks that are an anomaly to SDNs. Artificial Intelligence (AI) with its different applications and techniques, has the capability of detecting SDN cyber threats’ anomalies. This paper presents the results of a literature scoping exercise that used …

The Impact Of Artificial Intelligence On Leadership: A Systematic Literature Review Of Emerging Aspects And Organizational Effectiveness, Adrian Graca

European Management Studies

Purpose: In today’s working environment, constant change has become the norm. Various departments are undergoing transformations from traditional systems to those more suitable for a technology-driven environment. This systematic literature review investigates the evolving landscape of leadership strategies in the context of artificial intelligence integration within organizations. Technological advancements necessitate a transformation in leadership approaches to harness AI's potential effectively while addressing associated challenges such as ethical concerns and human-machine collaboration.

Design/methodology/approach: This research is a systematic literature review conducted using the PRISMA framework. Relevant academic publications were sourced from reputable databases, including Web of Science, Scopus, and EBSCO. A …

Introduction: Facing The Challenge Of Ai With Feminist Pedagogy, Margaret A. Murray

Feminist Pedagogy

This special issue truly faces the challenge of AI with feminist pedagogy. The introduction briefly summarizes the five critical commentaries, five original teaching activities and three book reviews that make up this issue on AI.

Review Of Ai Needs You: How We Can Change Ai’S Future And Save Our Own, Tracy A. Fernandez Rysavy

Feminist Pedagogy

AI Needs You: How We Can Change AI’s Future and Save Our Own urges citizens to band together now, while A.I. is still in its nascent stages, to head off its potentially destructive repercussions and ensure that the technology serves more than just a wealthy few. While such efforts might seem out of reach in our polarized society, author Verity Harding points to three cases from history where policy was heavily influenced by multistakeholder collaborations. This review encourages educators to use the book as a way to study business ethics; out-of-the-box thinking; and intersectional, inclusive consensus-building over a top-down approach.

Reviving The Lost Art: Historical Foundations And Future Pathways For Bespoke Service In Luxury Retail, Andrew Burnstine

Faculty and Staff Publications & Presentations

The mid-20th century witnessed a zenith of deeply personalized, bespoke service within iconic luxury specialty retailers. This paper critically analyzes the foundational principles of this historical bespoke service model, extending Service-Dominant (S-D) Logic and retail evolution theory, to propose a robust framework for its modern revival. Employing a rigorous qualitative, multiple-case study approach, grounded in extensive historical and media analysis of four archetypal American and British luxury boutiques, and uniquely informed by an insider-ethnographic perspective on the central case exemplar ("Martha's"), the study distills six core principles: Profound Client Knowledge, Visionary Curation & Styling, Anticipatory & Proactive Service, The Exclusive …

From Answering Questions To Replacing Staff: Analyzing The Effect And Possibilities Of Artificial Intelligence On The Structure Of Organizations, Caleb J. Cissna

Honors Projects

Over the last several years artificial intelligence has risen in commonality, availability, knowledge and usage across multiple industries, including business firms and organizations. Terming the multitude of tasks that are completed by these machines “artificial intelligence” is somewhat dismissive – the broadness of the tasks is unmatched by most any other innovation within the 21^st century. The widespread nature of artificial intelligence today have advanced many organizations, with many using the technology to create competitive advantage for themselves in certain industries, while others have seen it level the competitive field between firms in a given industry. Following this research …

Autonomous Intelligence In Fashion: A Comprehensive Analysis Of Agentic Ai Across The Fashion Ecosystem, Andrew Burnstine

Faculty and Staff Publications & Presentations

The fashion industry is undergoing a paradigm shift with the emergence of agentic artificial intelligence (AI), a sophisticated class of intelligent systems exhibiting autonomous decision-making, continuous learning, and adaptive action with minimal human intervention. Moving beyond traditional AI applications in fashion focused on predictive analytics, generative tools, and supervised automation, agentic AI introduces a transformative paradigm wherein intelligent agents proactively navigate the complexities inherent in design, manufacturing, supply chain optimization, and consumer personalization. This paper presents a comprehensive exploration of the evolving role of agentic AI across the multifaceted fashion ecosystem, offering an in-depth analysis of its technological underpinnings, operational …

Smart Strategies: The Impact Of Social Media And Ai In Modern Marketing, Waverly O. Smith

Student Publications

In recent times, social media and artificial intelligence (AI) have become increasingly popular in the world of marketing. With these technologies, companies can more efficiently and effectively find consumers and create tailored product advertisements. AI has helped companies segment consumers, identify trends, and predict consumer needs. Social media has created a platform in which companies can connect with consumers and gain direct feedback. Additionally, it has created a space in which anyone can become an influencer or market a product. With the evolution of technology and digital marketing, it has also become increasingly important for companies to use high quality …

Perceptions Of Artificial Intelligence In Healthcare: A Qualitative Study Among Physicians And Nurses In Florida, Aaron Miri

MUSC Theses and Dissertations

This investigation will leverage participant focus group interviews with 32 clinicians (16 nurses / 16 physicians) to study what, if anything, is inhibiting AI adoption across the hospital. Specific physicians will be sourced across the key service lines of primary care, oncology, cardiology, behavioral health, and emergency department medicine, as these tend to be patient volume driven and thus have the maximum amount of potential for positive impact leveraging AI. Nurses in these same departments will be assessed to analyze if there is a similarity or difference between the nursing and physician AI adoption barriers.

The Role Of Artificial Intelligence In Transforming Physical And Online Fashion Retail: Enhancing Experiences, Driving Sustainability, And Fostering Innovation, Andrew Burnstine

Faculty and Staff Publications & Presentations

This study explores the transformative role of artificial intelligence (AI) in revolutionizing the fashion industry, with a focus on enhancing consumer experiences, promoting sustainability, and driving innovation in retail. It examines AI applications in personalized recommendations, virtual try-ons, and supply chain optimization, while also addressing societal implications. Sustainability is a central theme, highlighting how AI minimizes overproduction, enables circular fashion, and encourages conscious consumerism. Case studies, such as Nike’s AI-powered retail stores and Lynn University’s Surreal Fashion Show, demonstrate practical applications and innovations during the COVID-19 pandemic. This research synthesizes insights from reports by The Business of Fashion and McKinsey …

Why Ai’S Role In Advancing Sustainability Is Underestimated, Lipika Bhattacharya

CCX Research

AI has quietly, but powerfully, woven itself into the fabric of our everyday lives. Yet, AI's potential impact on creating a more sustainable world is undervalued. The author examined artificial intelligence's (AI) role in advancing sustainability. She outlined how AI can be applied in various domains such as agriculture, water management, industry, urban planning, and biodiversity conservation for transformative effects.

Assessing The Readiness And Awareness Of Key Stakeholders In The Egyptian Maritime Industry To Implement Smart Green Port Practices: A Case Study Of Alexandria Port, Mohamed Elhussieny, Ahmed El Kassar, Kareem Tonbol

Blue Economy

This study explores the readiness and preparedness of the major stakeholders within the Egyptian maritime sector towards the adoption of smart green port practices, with particular consideration given to Alexandria Port. With growing environmental threats, the need to support sustainable maritime operations is high. The study evaluates the current state of the ecosystem at Alexandria Port and benchmark it against international standards to highlight the critical gaps that should be covered for the effective execution of smart green port approaches. The results indicate that, although stakeholders have basic knowledge of sustainability issues, large perceived barriers, particularly regarding resource availability, limited …