Technology and Innovation Commons^™

Jalzap: An Agile Hybrid For Ai-Accelerated Software Development, Pouya Nouri

University Honors Theses

The rapid adoption of generative AI tools allows software teams to quickly code applications, but it comes at a cost: high scope volatility, technical debt, and unrealistic expectations, which break traditional Agile frameworks. This thesis introduces JALZAP, a lightweight, hybrid Agile framework designed to serve small, high-agility teams facing compressed timelines and unpredictable schedules. This framework was evaluated over 16 weeks through a Portland State University Capstone project working for a pre-seed startup sponsor, where a six-person team built Flowmind: an AI-powered iOS task management app meant to serve users with neurodevelopmental disorders like ADD/ADHD. JALZAP implements structural boundaries, including …

Three Decades Of Digital Marketing: A Systematic Literature Review Of Strategic Shifts, Ethical Issues, And Innovation Paths, Winarto Poernomo, Denny Bernardus, Christina Utami, Liliana Dewi

ASEAN Marketing Journal

Manuscript type: Review Paper.

Research Aims: This study aims to examine the evolution of digital marketing over the past three decades and identify the technological, strategic, and behavioral transformations shaping contemporary digital marketing practices.

Design/methodology/approach: This study employs a systematic literature review (SLR) approach by synthesizing previous academic studies related to digital marketing development, emerging technologies, consumer behavior, and marketing strategies across digital platforms.

Research Findings: The findings reveal three major phases in the evolution of digital marketing: the foundational era of website-based marketing, the expansion of social media and mobile engagement, and the current era characterized by artificial intelligence, …

Customer Adoption And Trust In Indonesian Islamic Banking: A System Dynamics Perspective, Imam Wahyudi Mr., Komarudin Komarudin, Prof. Rifki Ismal

ASEAN Marketing Journal

Research Aims: This study reframes the growth challenge of Indonesia’s Islamic banking as a financial-service marketing problem: strengthening customer adoption, trust, and perceived value to expand market penetration in a dual-banking environment while maintaining resilience.

Design/Methodology/Approach: Using a system dynamics perspective, the study develops a causal loop diagram (CLD) grounded in a review of policy-document and prior empirical marketing/Islamic banking literature. A multi-actor lens is applied to map how regulators, government, customers, conventional banks, fintech, and ESG investors shape adoption and competitive dynamics.

Research Findings: The CLD identifies seven reinforcing loops that can accelerate adoption and market share (capability reinvestment, …

Predicting Cybermindfulness With The Cyber-Health Belief Model, James Robinson, Yan Tian, Thomas Skill

Journal of Cybersecurity Education, Research and Practice

This study describes the development of a Cyber-Health Belief Model (CHBM). The health belief model (HBM) is a message strategy that is widely and successfully used in public health research [1] and has been extended into phish training. Most phish training programs assume  end users are victimized because they have insufficient information to defend themselves. While near-term training effectiveness has shown to be effective, evidence for sustained behavioral change is thin [4]-[7].  This problem indicates that the traditional approaches need to be reconsidered and that new models are needed.  Recent research suggests attentional deficits, cyber-fatigue and fatalism and a sense …

The Intersection Between Mindfulness And Cybersecurity: A Tool To Reduce Burnout And Improve Operational Effectiveness, Ivo Ricardo Dias Rosa

Journal of Cybersecurity Education, Research and Practice

Abstract: This paper offers a conceptual discussion of how mindfulness, understood as present moment awareness and deliberate attention regulation, can support cybersecurity professionals. Drawing on a narrative synthesis of workplace mindfulness, burnout, and high pressure decision making literature, we map plausible self regulation mechanisms to typical cyber defense tasks. Rather than presenting new empirical data, we develop an explanatory framework linking attention, reactivity, and recovery to decision quality, team communication, and adherence to incident playbooks. We focus on two connected outcomes: reducing burnout in roles with sustained cognitive and emotional demands, and improving operational effectiveness during critical situations such as …

Cyber-Ready Libraries, Building Digital Fortresses For Tomorrow, Adeyinka B. Tella, Oluchi Precious Ogbonna Dr, Adebola Aderemi Olatoye Mrs

Journal of Cybersecurity Education, Research and Practice

Background and Purpose: Libraries are evolving into highly networked information ecosystems in this age of fast digital transformation, which increases their susceptibility to cybersecurity risks. The study "Cyber-Ready Libraries: Building Digital Fortresses for Tomorrow" looks into how prepared libraries are to face cyber threats and considers methods for creating information systems that are safe, robust, and ready for the future. To safeguard digital assets and user data, the study aims to assess existing cybersecurity practices in library settings and offer a roadmap for combining technological, human, and governance solutions.

Design/Method: The existing literature, case studies, and policy frameworks pertaining …

Next-Generation Dns Rpz For Automated Threat Intelligence, Risk-Aware Filtering, And User-Centric Security, Jinu S, Kishore V. Krishnan, Rajarshi Middya, Annasamy Bagubali

Journal of Cybersecurity Education, Research and Practice

The Domain Name System (DNS) remains a critical attack vector exploited by adversaries for command-and-control (C2) communication, data exfiltration, and phishing campaigns. DNS Response Policy Zones (RPZ) have emerged as an effective defense mechanism by enabling the redirection or blocking of queries to malicious domains. However, current RPZ implementations encounter significant challenges related to scalability, adaptability, and user awareness, often resulting in static policies, delayed updates, and a high incidence of false positives. To address these limitations, this paper proposes an enhanced RPZ framework that integrates adaptive threat intelligence, machine learning-driven dynamic policy updates, and user-context-aware security controls. The proposed …

Towards An Inclusive Labour Market: Skills For The Future, Eva Erjavec

Economic and Business Review

In the transition to a knowledge-based society, human capital has become a key driver of economic growth, innovation, and social progress. As industries evolve and new technologies reshape labour markets, the development of future skills plays a crucial role in ensuring workforce adaptability, productivity, and long-term competitiveness. A bibliometric analysis aims to examine the importance of human capital for economic growth and the transition to a knowledge economy, synthesizing existing research and academic discussions. By systematically reviewing the literature, this paper seeks to provide insights into how skills and education contribute to sustainable economic development and social resilience. Furthermore, it …

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.

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 …

Hallucinations And Hits: Generative Ai Patent Searching Performance, Pitfalls, And Library Best Practices, Aidan J. Whitlock, Denise A. Wetzel

Journal of the Patent and Trademark Resource Center Association

One of the most challenging aspects for inventors seeking to obtain a patent is conducting an effective preliminary prior art search. The process requires specialized skills and experience to assess the relevant information that many novice inventors do not possess. However, artificial intelligence (AI) tools and Large Language Models (LLMs) offer potential new ways of accessing legal and technical expertise. This study surveys five popular publicly available LLMs ability to aid in conducting a preliminary prior art search. A list of best practices and strategies for using AI tools to conduct preliminary patent searches are outlined at the conclusion of …

Mass Produced: Using Local Historical Patents And Trademarks As Outreach Tools, Brendan Kelly, Rebecca Reznik-Zellen, Lisa Di Valentino

Journal of the Patent and Trademark Resource Center Association

Historical patents and trademarks are an effective way to showcase the industries critical to the development of a region. The UMass Patent and Trademark Resource Center, based out of the Science and Engineering Library of the University of Massachusetts Amherst, created an exhibit focusing on four different industries integral to the development of Western Mass, and the patents and trademarks associated with them. We hosted an opening reception attended by campus members interested in innovation and entrepreneurship, as well as community patrons interested in the industrial history of the region. As many regions around the United States have their own …

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 …

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 …

Determinants Of Public Trust In E-Government: A Comprehensive Review And Conceptual Framework Over The Past Decade, Andrean Nathaniel, Sumartono Sumartono, Abd. Qadir Muslim

BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi

The evolution of digital governance has heightened the strategic significance of public trust in the implementation of e-government. Despite numerous empirical investigations, the results concerning the factors influencing trust remain fragmented and largely centered on technological aspects. This study seeks to systematically identify, categorize, and synthesize the determinants of trust in e-government through a structured literature review of 21 Scopus-indexed articles published between 2015 and 2025. Utilizing an evidence-based synthesis methodology, the study organizes determinants of trust into four main categories: citizen-related, technological, institutional, and risk-related factors. The findings indicate that technological and citizen-related factors are the most significant predictors …

A Govsecops-Oriented Governance, Risk, And Compliance Platform For Continuous Authorization In Dod Il4/Il5 Environments, Anand Janjal

Journal of Cybersecurity Education, Research and Practice

Department of Defense (DoD) Impact Level 4 and Impact Level 5 (IL4/IL5) systems require continuous assurance of cybersecurity posture under stringent operational and regulatory constraints. While the NIST Risk Management Framework (RMF) and DoD DevSecOps guidance emphasize continuous authorization supported by real-time evidence, many existing Governance, Risk, and Compliance (GRC) platforms remain documentation-centric and insufficiently integrated with operational telemetry. This paper presents a GovSecOps-oriented GRC architecture that integrates vulnerability ingestion, automated Plan of Action and Milestones (POA&M) lifecycle management, dynamic risk scoring, and continuous authorization dashboards within IL4/IL5 environments. Using a Design Science Research methodology, the study develops and evaluates …

Regularity Clarity At A Cost: The Risks To Everyday Investors If Project Crypto Continues Without Guardrails, Maia Chess

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Jadughar: The House Of Magic, Dhruvi A. Shah

Masters Theses

Jadughar or the House of Magic is what people call a 'museum' in parts of South Asia. The practice of museum making, at its origin, is the act of collecting, preserving, interpreting and representing a culture’s tangible and intangible heritage to make it accessible to diverse audiences. Since the early 19th century such practices have been performed at various kala bhandars (art centers) in India, without the need of a formal or institutional organisation. The British introduced the model of a ‘museum’ in South Asia, with the aim of not only preserving ethnographic collections, but also showcasing their power and …

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.

The Offense-Defense Balance And The Modern System In Ukraine, Daniel Hogestyn

Master in Public Policy Theses

This thesis evaluates whether the Russo Ukrainian war represents a revolution in military affairs (RMA) by testing Stephen Biddle’s "modern system" theory of battlefield outcomes against recent combat operations. Applying Biddle’s formal model to the 2023 Ukrainian offensive in Zaporizhia, the thesis finds that the offensive's failure conforms closely to Biddle’s causal logic, with force employment variables drawn from 20th century combat sufficient to account for the outcome. Biddle's model in military power argues that force employment has explained victory and defeat since World War I, rather than technology or numerical preponderance alone. Many commentators claim that proliferation of small …