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 …

The Service Variety Paradox In Crypto-Exchanges: A Stimulus-Organism-Response (Sor) Perspective, Cheuk Hang Au, Po Hsu Shieh, Vladimir Nurbaev, Kris M.Y. Law, Kevin K.W. Ho

Research outputs 2022 to 2026

Digital platforms face a fundamental paradox: while expanding service variety is a dominant competitive strategy, it risks inducing a “paradox of choice” that confuses and deters users. This tension manifests with extreme clarity in the nascent, high-complexity market of cryptocurrency exchanges, creating a pressing empirical puzzle. To resolve this, we adopt the Stimulus-Organism-Response (SOR) perspective in a three-stage mixed-method study to investigate how platforms can strategically manage this trade-off. Our qualitative exploration (Study 1) established a capital flow schema called “inflow, roll, and go” and identified key complexity-reduction mechanisms. A subsequent survey (n = 190, Study 2) validated that perceived …

From Innovation To Impact: Evaluation Of The Shape Accelerator Cohort, Iryna V. Lendel, Chloe Wieber

Upjohn Institute Technical Reports

The Solutions Hub for an Alternative Packaging Ecosystem (SHAPE), a Michigan-Ohio partnership operated by the Michigan State University Research Foundation as part of a National Science Foundation Regional Innovation Engine, co-funded a special cohort of the NextCycle Accelerator focused on sustainable packaging and circular economy ventures. This report evaluates how the accelerator contributed to firm-level advancement and ecosystem-level change, drawing on program data and interviews with participating companies, program facilitators, stakeholders, and SHAPE management.  Participants most consistently credited coaching, network connections, and the Pitch Showcase with meaningfully impacting their business trajectory, gaining market traction, advancing technology readiness, and gaining access …

Neural Symphony Of Flow Experience: Evidence For High-Dimensional Metastable Dynamics, Abdelrahman B.M. Eldaly, Kris Zhangguang Kang, Fiona Fui Hoon Nah, Leanne Lai Hang Chan, Keng Leng Siau, Xiao Fan Liu, Richard Huskey, Langtao Chen, Tejaswini Yelamanchili, René Weber

Business and Information Technology Faculty Research & Creative Works

Flow, an optimal experience characterized by deep immersion and engagement in an activity, has been extensively studied in behavioral research. However, its neural dynamic mechanism remains poorly understood. In a within-subject video gaming experiment, we captured neural activity underlying flow, boredom, and anxiety using a 64-channel electroencephalogram (EEG) system. Compared to boredom and anxiety, flow exhibits the highest global functional connectivity, metastability, and dimensionality of dynamic functional connectivity patterns, suggesting that flow is a highly adaptable process that is supported by high-dimensional neural dynamics. Unlike previous studies that focused on identifying static or localized brain activity, we examine the neural …

C.S.A. Assessment - Tamp Family Health Center Portal, Delante Clark

Graduate Scholarship and Creative Works

This C.A.S. assessment evaluates how the Tampa Family Health Centers website influences userattention, cognitive processing, information accessibility, navigation efficiency, and digital user experience.The assessment examines whether the platform supports intentional engagement and informed decision-making while minimizing cognitive overload, distraction, confusion, and unnecessary attentional demands.

TFHC serves as a healthcare access portal providing appointment scheduling, patient resources, providerinformation, healthcare services, MyChart access, payment services, and community health resources.These functions make attention management and information clarity critical to successful user outcomes.

Bank Competition Amid Digital Disruption: Implications For Financial Inclusion, Erica Xuewei Jiang, Gloria Yang Yu, Jinyuan Zhang

Research Collection Lee Kong Chian School Of Business

We examine how digital disruption affects bank competition using the staggered rollout of 3G mobile networks. 3G expansion increased mobile banking adoption among tech-savvy households, reducing branch networks—especially in younger counties. Banks' strategies diverged: Less branch-reliant banks closed branches and competed on price, while more branch-reliant banks maintained branches but raised spreads. A structural model shows that perceived digital service improvements among younger consumers drove these shifts, reducing welfare for older savers. Counterfactuals demonstrate that subsidizing adoption for older savers can cost-effectively reduce these disparities, facilitating a smoother digital transition.

Key Success Factors In Aviation–Start-Up Collaboration: A Framework For Innovation And Value Creation, Bruno Pereira, Gui Lohmann, Luke Houghton, Adela Mcmurray, Mauro Caetano

Research outputs 2022 to 2026

This study addresses how the aviation sector can create value by fostering innovation in collaboration with start-ups. A novel ‘Key-Success Factors in Aviation-Start-up Collaboration Framework’ is proposed to explain the innovation process, identify key success factors, and generate valuable insights into the aviation sector and start-up partnerships. Drawing on 31 of 80 consolidated key success factors selected from the literature and validated through ten interviews with managers of aviation innovation programs and start-up founders, the proposed framework is structured into three dimensions: (i) antecedents, (ii) governance, support, and development, and (iii) innovation and value creation, and 13 related categories. The …

Transformative Phygital Service Research (Tpsr): An Agenda For Future Research, Saadia Shabnam, Sanjit K. Roy, Yonathan Silvain Roten, Gaganpreet Singh, Taewon Suh, Hairong Li

Research outputs 2022 to 2026

Purpose – This paper aims to develop a transformative phygital service research (TPSR) framework to explain how hybrid physical-digital service systems shape consumer well-being, autonomy, dignity and inclusion. While prior phygital service research (PSR) advances understanding of hybrid experiences and human-centred ecosystems, key ambiguities persist around agency, governance and interpretive labour in algorithmically mediated interactions. Existing frameworks address value co-creation but lack clarity on how digitally enforced rules and redistributed labour drive transformation. TPSR addresses this gap by theorising contradiction-driven processes through which human–AI arrangements and socio-technical dynamics produce both empowering and erosive outcomes in phygital service environments. Design/methodology/approach – …

The Personality Profile Of Entrepreneur And Business Leader Elon Musk, Amelia Brower, Aubrey Immelman

Psychology Faculty Publications

This paper presents the results of an indirect personality assessment of entrepreneur and business leader Elon Musk, from the conceptual perspective of personologist Theodore Millon.

Psychodiagnostically relevant data relating to Musk were collected from biographical sources and media reports and synthesized into a personality profile using the Millon Inventory of Diagnostic Criteria (MIDC), which yields 34 normal and maladaptive personality classifications congruent with DSM-III-R, DSM-IV, and DSM-5-TR.

The personality profile yielded by the MIDC was analyzed in accordance with interpretive guidelines provided in the MIDC and Millon Index of Personality Styles (MIPS) manuals. Musk’s primary personality patterns …

Patent Regime Shift And Firm Innovation Strategy: Evidence From The Second Amendment To China's Patent Law, Tony W. Tong, Wenlong He, Liang Chen, Zi-Lin He, Jiangyong Lu

Research Collection Lee Kong Chian School Of Business

Research Summary: While changes in intellectual property rights (IPR) protection significantly shape firm innovation, the mechanisms driving firms' responses remain poorly understood. Leveraging the Second Amendment to China's Patent Law, which strengthens appropriability particularly for state-owned enterprises (SOEs), as a natural experiment, we show that stronger IPR has mixed effects on SOEs' innovation. While SOEs increase the rate of innovation subsequent to the Amendment, they shift the direction of innovation toward more familiar areas in which they face a lesser need to adjust existing routines. This directional change suggests a quality decline in SOEs' innovation that may be attributed to …

Operational Agency: A Permeable Legal Fiction For Tracing Culpability In Ai Systems, Anirban Mukherjee, Hannah H. Chang

Research Collection Lee Kong Chian School Of Business

Modern artificial intelligence (AI) systems act with a high degree of independence yet lack legal personhood—a paradox that fractures doctrines grounded in human-centric notions of mens rea and actus reus. This Article introduces Operational Agency (OA)—a permeable legal fiction structured as an ex post evidentiary framework—and Operational Agency Graph (OAG)—a tool for mapping causal interactions among human actors, organizations, and AI systems. OA evaluates an AI’s observable operational characteristics: its goal-directedness (as a proxy for intent), predictive processing (as a proxy for foresight), and safety architecture (as a proxy for standard of care). OAG operationalizes that analysis by embedding these …

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. …

More Than Just Fair: Legitimizing Ai Through Reciprocity, Ethical Ai Characteristics And Personal Information Sharing, Shahid Hussain, Asim Qazi, Violetta Wilk

Research outputs 2022 to 2026

This research examines how perceived reciprocity and perceived ethical AI characteristics – fairness, accountability, and transparency (FAT principles) – shape consumers’ willingness to share personal information and its downstream consequences in AI-mediated consumer-brand interactions. Grounded in social exchange theory, we conceptualize personal information sharing as a behavioral gateway through which ethical exchange cues translate into perceived algorithmic legitimacy and intention to co-create value. Using a two-study design, consisting of a scenario-based experiment (n = 184) and a cross-sectional survey (n = 612), the findings of this research show that reciprocity and FAT principles robustly increase willingness to share personal information. …

Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark

Graduate Scholarship and Creative Works

Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …

Algorithmic Monocultures In Hiring, Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel, Dan Saul Jurafsky, Percy Liang

Economics Faculty Articles and Research

Many employers screen job applicants with algorithms built by the same few algorithm vendors. We hypothesize that algorithmic monoculture leads to the same individuals and members of the same racial groups facing rejection. We acquire and analyze a novel dataset of 3 million applicants submitting 4 million applications where all the applications are screened by algorithms built by the same vendor. We find clear racial disparities in applicant outcomes. Of all applications submitted by Asian and Black applicants, 14.74% and 25.87% are submitted to positions that adversely impact Asian and Black applicants, respectively, according to U.S. employment discrimination standards. Individuals …

Get Ready To Lead: Human-Centered Leadership In An Ai-Driven World, Ellen Ramsey

Faculty and Staff Publications & Presentations

As AI becomes increasingly integrated into our daily lives, online students continue to seek instructors who consistently appear, genuinely care about them as individuals, and provide guidance, challenge, and support. AI tools can help with speed and structure, but human-centered leadership keeps connection and meaning at the forefront of the learning experience. 

This interactive workshop invites online instructors and faculty leaders to explore how human-centered leadership can support their teaching in the middle of rapid technological change.

Grounded in a six-pillar leadership model that encompasses conscious self-awareness, relational intelligence, ethical influence, adaptive growth, transparent communication, and empowered action, this session …

Innovation Hubs In Mountain West Cities, 2025, Cason Noll, Sean Curry, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data on 20 innovation-dense Mountain West cities across Arizona, Colorado, Nevada, New Mexico, and Utah. The CommercialCafe report, “Santa Clara, Berkeley & Tempe Lead Among Western Innovation Hubs,”  uses 15 indicators to rank 63 western cities for innovation hub activity across three categories: employment and talent, education, and business activity.

Ms110 Syllabus: Introduction To Computers, Information Systems, And Artificial Intelligence, Wei Zhang

Management Science and Information Systems Faculty Publication Series

This is a syllabus for Professor Wei Zhang's MS110: Introduction to Computers, Information Systems and Artificial Intelligence Course within UMass Boston's College of Management. This is an Open Educational Resource and can be remixed, copied, redistributed, altered and reused as long as permission is given to the original creator.

Moving Beyond Entry Modes: Toward A New Paradigm Of International Involvement In An Era Of Digitalization And Global Transitions, Noman Shaheer, Sali Li, Liang Chen, Keith D. Brouthers, Dan Li, Peter Liesch

Research Collection Lee Kong Chian School Of Business

We seek to reconceptualize internationalization strategy by shifting focus from static, single-entry mode choices to dynamic constellations of multiple involvement modes. In an era of rapid technological change enabled by artificial intelligence, blockchain, and robotics, geopolitical volatility fueled by trade wars and violent conflicts, and increasing sustainability demands, multinational corporations (MNCs) need to rethink how they are involved with diverse stakeholder expectations, prioritize flexibility and reversibility, and embed co-creation and legitimacy alongside efficiency. Extending Brouthers et al. (2022), we integrate transaction cost economics with resource-based, institutional, opportunity, and ecosystem perspectives to explain how MNCs configure and reconfigure various constellations of …

The Paradox Of Perfection: Hidden Risks Of High-Performing Ai In Human-In-The-Loop Governance, Chen Zhong, Alper Yayla, Xueping Liang

Proceedings of the Cognitive Innovation Conference (CognoCon)

As AI systems achieve near-perfect accuracy in high-stakes decision-making domains, governance frameworks risk overlooking a critical paradox: superior AI reliability may render human oversight ceremonial rather than functional. This paper presents a theoretically grounded experimental research design to investigate Automation Complacency—the cognitive degradation of human vigilance triggered by sustained streaks of accurate AI outputs. Grounded in Dual-Process Theory and the competency trap literature, we hypothesize that consistent AI reliability shifts operators from analytical (System 2) to heuristic (System 1) processing, significantly impairing error detection when AI eventually fails. Using a simulated phishing detection task (N=200), we plan to test how …

Artificial Intelligence, Large Language Models, Ai Applications, Ai Business Transformation, Reza Vaezi

Proceedings of the Cognitive Innovation Conference (CognoCon)

This paper critically examines the prevailing approaches to AI ethics, arguing that current frameworks—focused on regulation, compliance, and risk mitigation—are insufficient for guiding increasingly autonomous and socially influential AI systems. It contends that ethical behavior in humans arises from morality that is rooted in human empathy, which AI lacks. By differentiating between morality (emotionally intuitive) and ethics (analytical and rule-based), the paper highlights the limitations of procedural ethics in AI, which operates solely in an analytical mode. The author proposes an alternative path for ethical AI through conscious empathic AI, suggesting that embedding empathic capacities could stabilize moral behavior in …

Llms Are Not The Answer Relevant Ai For Business Transformation, Christopher Simpkins

Proceedings of the Cognitive Innovation Conference (CognoCon)

AI hype is driving AI failure. Hype-driven focus on LLM-centric AI products – which in reality have few practical applications – is causing businesses to miss out on the real opportunities offered by the breadth of AI that is more relevant to their problems. In this position paper I provide a definition of AI that focuses on the kinds of problems AI can solve and a brief introduction to the broad field of AI. I then explain at a high level why LLMs fall short of their hype and always will, as a consequence of fundamental technical limitations. Within the …

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, …

Agentic Implementation In Business Processes With Guardrails, Kunal Kumar

Proceedings of the Cognitive Innovation Conference (CognoCon)

Enterprises are increasingly adopting Large Language Models (LLMs) to enhance automation in document driven workflows. However, their probabilistic behavior raises challenges related to governance, auditability, and regulatory compliance. This work proposes an agentic automation framework that integrates LLM-based cognitive services with Robotic Process Automation (RPA) to enable intelligent document processing while preserving determinism and traceability. The architecture separates probabilistic interpretation from deterministic execution, using LLMs for bounded information extraction and RPA for rule-based orchestration, validation, and audit logging. To mitigate risks associated with nondeterministic AI behavior, the framework incorporates guardrails such as structured prompting, confidence thresholds, human-in-the-loop review, and comprehensive …

Human-Like Or System-Like Trust? A Comparison Of Trust Measures For Intelligent Assistants, Denise Mcwilliams, Adriane B. Randolph

Proceedings of the Cognitive Innovation Conference (CognoCon)

Organizations increasingly deploy intelligent assistants to augment human tasks within virtual teams, reshaping how work is coordinated and performed. As intelligent assistants become embedded in everyday workflows, technology shifts from a passive tool to an active collaborator in team processes. Despite growing adoption, trust remains a critical factor influencing the use of intelligent assistants and may hinder organizations’ efforts to realize their full value. Prior research debates which trust construct is most appropriate for examining trust in artificial intelligence. Traditional perspectives emphasize cognitive and affective trust, developed for human-to-human relationships, which may not fully capture trust in human–computer contexts. Emerging …

From Configuration To Cognition: A Self-Configuring Agentic Crm Architecture For Small-Scale Retail Enterprises, Praveen Manimangalam

Proceedings of the Cognitive Innovation Conference (CognoCon)

Artificial intelligence (AI) has significantly enhanced enterprise-scale customer relationship management (CRM) systems; however, small-scale retail businesses remain structurally excluded from these advancements due to configuration complexity, technical overhead, and limited digital capabilities. This paper introduces a Self-Configuring Agentic CRM (SC-ACRM) architecture designed to eliminate configuration barriers in micro-retail contexts. The framework operationalizes Intent-to-Schema automation, translating natural-language business intent into structured operational models and reducing configuration debt embedded in traditional metadatadriven systems. The architecture further incorporates adaptive agentic orchestration and Cognitive Infrastructure Elasticity, enabling dynamic policy adjustment under demand volatility while preserving human-supervisory governance. Using an agent-based simulation of a multi-SKU …

Hierarchical Multi-Level Llm Agent Swarms For Financial Research Synthesis And Trading Decision Support In Multi Strategy Hedge Funds, Puneet Gandhi, Rishab Gulati

Proceedings of the Cognitive Innovation Conference (CognoCon)

"There will be no software in the future that's not agentic. And so, it is absolutely true that every software company will become an agentic company.”- Nvidia’s Jensen Huang. As various companies grapple with agentic architectures suitable to their firm environments, we present a hierarchical agentic architecture geared towards Multi Strategy hedge funds. Multi-strategy hedge funds operate within highly complex and rapidly evolving information environments. Trading decisions emerge from layered organizational structures in which sector specific teams continuously consume heterogeneous data sources. Sr. Portfolio Managers synthesize information to allocate capital towards high-conviction opportunities. As the volume and diversity of financial …

Creating It Capabilities In Workflow Automation With Unstructured Data, Gary J. Braswell

Proceedings of the Cognitive Innovation Conference (CognoCon)

Service organizations increasingly seek to automate customer service workflows, yet most customer communications arrive as unstructured data, such as email and chat. Although large language models (LLMs) offer new possibilities for interpreting such data, their non-deterministic behavior creates reliability risks that can undermine automation performance, as error rates as low as 10% can cause automated flows to perform worse than manual ones. This research discusses how firms can build IT capabilities that convert LLM-based interpretation of unstructured data into reliable automated customer service workflows. Using the Resource-Based View (RBV) as the theoretical lens, the study examines how knowledge sharing and …

Ai Is Taking Over!: A New Generation Of Unemployment Fears, Amaya V. Hepburn

Student Scholar Symposium Abstracts and Posters

The growing panic surrounding AI taking over the workforce is strong in a distinct group of demographics, in contrast to the fear of computers taking over the workforce that was seen in previous generations. This suggests that AI developments have sparked a wave of fear that is unlike the fear of tech developments in the past. I have discovered that this fear is prevalent across several demographics: age, employment, and income. By cross-analyzing through the 2017 and 2025 fear surveys, I discovered that fear of AI is more prevalent in younger generations and is more threatening to students entering the …

It’S No Longer Greek To Me: A Gamified Parsing Study Tool, Josiah J. Lane

Senior Honors Theses

Learning Koine Greek presents significant challenges due to the language’s complex morphology, including multiple verbal forms encoding tense, aspect, mood, voice, person, and number. Traditional methods relying on rote memorization often fail to support long-term retention and rapid parsing ability. This project presents a web-based parsing study tool designed to address these challenges by integrating spaced repetition algorithms, active recall, and gamification principles. The system leverages a relational database of lexical forms and parsed words, enabling adaptive scheduling of practice items based on individual learner performance. Gamified elements, including scoring, progress tracking, and immediate feedback, sustain engagement and encourage consistent …