Business Commons^™

Optimal Control Of Queueing Systems With Error-Prone Servers, Junqi Hu, Sigrún Andradóttir, Hayriye Ayhan

Information Technology & Decision Sciences Faculty Publications

Consider a Markovian tandem line with finite intermediate buffers and an equal number of stations and servers. Servers are flexible but noncollaborative, so that a job can be processed by at most one server at any time. When a job is being processed, it can be damaged and wasted depending on the proficiency of the server. We identify the dynamic server assignment policy that maximizes the long-run average throughput of the system with two stations and two servers. We find that the optimal policy is either a single or a double threshold policy on the number of jobs in the …

Investing In The Age Of Generative Ai: A Gpt-Based Sentiment Analysis Approach, Xianrong Zheng

Information Technology & Decision Sciences Faculty Publications

Generative AI, which ushers a new age of AI, comes with huge economic potential. To capitalize the AI boom, investors are interested in trading AI stocks. AI chatbots, which can identify and classify the sentiment from financial news, can be leveraged for investment. So, this paper proposes a GPT-based sentiment analysis approach for trading AI stocks. Also, natural experiments are conducted to evaluate its effectiveness. Initial results show that the approach achieves a good rate of return.

A Comparison Of Service Needs For Face-To-Face To Online Programs, Ali Ardalan, Roya K. Ardalan, G. Steven Rhiel

Information Technology & Decision Sciences Faculty Publications

Higher education institutions strive to gain a competitive advantage over similar programs offered by other institutions. A criterion for comparing programs is the quality of service. The definition of quality from the customer's view is "fitness for use," which incorporates the value generated by the product. Each learner may evaluate programs differently from other learners. It is impossible to develop a unique standard for program quality that is defined by a specific set of factors and specific level for each of these factors. This study presents an extensive set of factors that may affect learners' satisfaction. Higher education administrators should …

Addressing Cte Faculty Shortages In Community Colleges: Perspectives From The Field, Brandon Hensley, Michelle E. Bartlett, James E. Bartlett Ii, Sophia Alston

Educational Leadership & Workforce Development Faculty Publications

This study investigates the motivations, challenges, and institutional strategies shaping the recruitment and retention of postsecondary Career and Technical Education (CTE) faculty in North Carolina. Drawing on quantitative data from 171 North Carolina participants in a national survey, the research provides a localized perspective on faculty workplace experiences within the state’s community college system. Grounded in Herzberg’s Two-Factor Theory and Job Embeddedness Theory, the analysis identifies key factors influencing job satisfaction, faculty stability, and the perceived effects of ongoing instructor shortages. The study’s findings are organized around four central research questions and present a comprehensive analysis of the challenges associated …

The Influence Of Shopping Context And Anthropocentric Bias On Consumer Preferences For Human And Ai Designers In Fashion, Dooyoung Choi, Ha Kyung Lee, Christina Soyoung Song, Ji Young Lee

Educational Leadership & Workforce Development Faculty Publications

This study explores how shopping contexts (hedonic vs. utilitarian) influence consumer preferences for AI- vs. human-designed fashion products. In Study 1, participants with hedonic motivations preferred human-designed items, while those with utilitarian motivations preferred AI-designed products, supporting the hypothesis that shopping context affects designer preferences. Study 2 further investigates the mediation of competence-warmth traits in designer preferences and the moderation of anthropocentric bias. It finds that hedonic shopping contexts increase the desire for warmth-related traits, leading to a preference for human designers, while utilitarian contexts favor competence-related traits and AI designs. Additionally, individuals with higher anthropocentric biases showed stronger preferences …

How Personalized Chatbots Win Customer Loyalty, Jaeha Lee, Dooyoung Choi

Educational Leadership & Workforce Development Faculty Publications

The study applies affordance theory to investigate how perceived personalization influences loyalty through cognitive, affective, and social drivers. Data was collected from 220 participants who watched a video of a chatbot interaction and then assessed their loyalty intentions. While all paths were significant between personalization and consumer’s willingness to stay, the effects of personalization on consumer’s willingness to recommend the retailers to others were slightly different. If companies aim to capitalize on word-of-mouth marketing, it will be better to prioritize cognitive and affective qualities of chatbot over social qualities, because the latter did not contribute significantly to word-of-mouth intentions about …

A Comprehensive Parcel-Level Dataset On Farmland Assessment: Addressing Grid-Cell Data Bias Estimation, Wai Yan Siu, Man Li, Arthur J. Caplan

ODU Articles

Grid-cell data are increasingly used in research due to the growing availability and accessibility of remote sensing products. However, grid-cell data often fails to represent the actual decision-making unit, leading to biased estimates in socio-economic analysis. To this end, this paper presents a comprehensive parcel-level dataset for Salt Lake County, Utah, spanning from 2008 to 2018. This dataset combines detailed spatial and temporal data on land ownership, land use, and preferential farmland tax assessments under the Greenbelt program. Compiled from multiple geospatial sources, the dataset includes nearly 200,000 parcel-year observations, providing valuable insights into landowner decision-making and the impact of …

Coastal Flooding And Housing Market Liquidity: Policy Implications For Eastern U. S. Communities, Wai Yan Siu, Rex Sitti

ODU Articles

Coastal flooding poses an escalating threat to communities across the U.S East Coast, where rising sea levels and intensifying storms increasingly overwhelm existing infrastructure and natural defenses. These events generate complex economic consequences that extend beyond immediate property damage to affect community stability and long-term development patterns. The real estate industry in particular, faces increasing levels of flood risk. Existing research on climate risk and real estate markets focuses predominantly on price capitalization effects, overlooking the critical dimension of housing market liquidity. This study examines the causal impact of coastal flooding on days-on-market (DOM), a metric of liquidity in the …

Utilizing Artificial Intelligence As A Strategic Risk Management Tool For Public Sector Operations And Auditing Processes, Oğuz Ümit Tamer, Bruce D. Mcdonald Iii, Farouk Hemici, Georgia Kontogeorga

School of Public Service Faculty Publications

Symbolizing a significant turning point in the historical landscape, AI is becoming an effective tool in today's public administration, not only for increasing capacity, quality, and speed in services, but also for strategic risk management. Regulators and algorithmic auditing play a central role in implementing fairness, transparency, and persistent controls against risks in AI systems. Discussing modern applications of AI, such as anomaly-based fraud detection, resource estimation, and continuous auditing, and their respective strengths and weaknesses, this study concludes that AI significantly enhances efficiency and oversight but also poses the risk of enshrining bias, opacity, and accountability gaps. By considering …

Individual Entrepreneurial Orientation: Scale Development And Validation, Daniel R. Clark, Jeffrey G. Covin, Robert J. Pidduck

Management Faculty Publications

Recent research introduced and laid the foundation for a new individual-level entrepreneurial orientation conceptualization (Ind.EO) within the entrepreneurial orientation family of constructs. Building directly from this work, this article theoretically defines a measurement model for the construct and develops and validates a scale. We define and measure disposition-based behavior constructs for autonomy, competitiveness, innovativeness, proactiveness, and risk-taking, thus providing psychometrically validated tools that support research in the burgeoning Ind.EO domain. Scale items are generated deductively from our definitions, and then tested through four data collections with academics, the lay population, entrepreneurs, and business managers. Strong validation data across these multiple …

Is Corporate Social Responsibility A Must Or A Plus? The Role Of National Culture, Liu Wang, Shaomin Li

Management Faculty Publications

This study examines the role of national culture in shaping corporate social responsibility (CSR) practices and how CSR is valued by investors. In a multilevel study of 4998 firms across 34 nations, we find that firms in performance-based culture (PBC) are more likely to engage in explicit CSR activities, but performance-driven investors view such an effort as a drag on shareholder returns in PBC-oriented societies, resulting in lower valuation. In contrast, firms in socially supportive culture (SSC) tend to invest less in explicit CSR activities, but such an investment is viewed favorably by social-minded investors in SSC-oriented societies, and thus …

Exploring Coworker Perceptions Of And Reactions To Quiet Quitting, Andrew A. Bennett, Rhett T. Epler, Veronica L. Thomas, Daroon Jalil

Management Faculty Publications

Quiet quitting is a relatively new phenomenon that has quickly caught the attention of both practitioners and academics. With the world of work becoming increasingly interconnected, we contribute to the discourse by approaching quiet quitting from the novel perspective of understanding how others in the workplace perceive those who engage in quiet quitting. To do so, we first provide a formalized definition of quiet quitting and differentiate coworkers' perceptions of quiet quitting from similar psychological constructs (Studies 1–3). We then examine employee responses to coworkers engaging in quiet quitting with a qualitative study (Study 4) and vignette design (Study 5), …

A Blueprint To Greener Shorelines: Advancing The Effectiveness, Sustainability, And Widespread Adoption Of Coastal Nature-Based Solutions Through Transdisciplinary Research, Taylor M. Sloey, Sierra Hildebrandt, Rebecca L. Morris, Matthew V. Bilskie, Aaron Bland, David Bushek, Gabriella Dipetto, Daniel Elefant, Vincent Encomio, Ramin Familkhalili, Christine Hladik, Danielle Kreeger, Avery B. Paxton, Cindy M. Palinkas, Latina Steele, Andrew Scheld, Daisuke Taira, Jason D. Toft, Armando J. Ubeda, Christine Whitcraft, Donna Marie Bilkovic

Biological Sciences Faculty Publications

Coastal nature-based solutions (NbS) have emerged as powerful tools to enhance sustainable development and ecological restoration goals. As a rapidly growing field spanning across social, political, ecological, economic, and engineering disciplines, it is critical that researchers working in coastal NbS regularly attempt to identify emerging focal areas for scientific inquiry. Following the 27th Biennial meeting of the Coastal and Estuarine Research Federation, we provide a transdisciplinary perspective (including biologists, engineers, oceanographers, geoscientists, economists, and facilitators of workforce training programs) of pertinent research questions that, if answered, will advance the effectiveness, sustainability, and widespread adoption of coastal NbS. These suggestions for …

Integrated Valuation Of The Ecological, Social And Economic Benefits Provided By A Multifunctional Nature-Based Solution, Laura Costadone, Shan Zhang

ODU Articles

Nature-based Solutions (NbS) offer multifunctional approaches to address climate change and environmental challenges, providing a sustainable alternative to traditional gray infrastructure. Despite their promise, widespread adoption remains limited, in part due to an incomplete understanding of their full costs and benefits relative to conventional infrastructure. Traditional benefit–cost analyses often overlook non-monetized benefits and the interconnected ecosystem services provided by NbS. This study introduces a methodological approach to quantify both the physical and monetary value of ecosystem services and co-benefits delivered by an NbS project. We applied an integrated valuation framework to a case study in Virginia Beach, VA, USA, where …

Salary Negotiation Dynamics For Athletic Trainers: Insights From Employers On Expectations And Organizational Influences, Julie M. Cavallario, Forrest Andrews, Kendallyn Johnson, Katherine Schalk, Cailee E. Welch Bacon

Rehabilitation Sciences Faculty Publications

Context

While researchers have previously identified that most athletic trainers (ATs) do not negotiate their salary, little is known about employers' expectations and behaviors relative to establishing and negotiating salaries for the ATs they hire.

Objective

To examine employers' expectations and behaviors regarding AT salary negotiation.

Design

Cross-sectional.

Setting

Web-based survey.

Patients or other participants

413 employers who are in a role that requires them to negotiate salary offers with prospective AT employees and who have minimally hired one AT into the organization they work for accessed the survey from a random sample of 7,000 ATs (6% access rate); 324 …

Service Guarantee Decision Of Online Service Providers And Market Implications, Aijun Lu, Fuzan Chen, Harris Wu

Information Technology & Decision Sciences Faculty Publications

Online services face quality uncertainties. To address user concerns, Online Service Providers (OSPs) sometimes provide service guarantees, compensating users if quality falls below a predefined threshold. This paper analyzes how OSPs use service guarantees to navigate market competition and enhance revenue through game theory and queuing theory models. Key findings include the following: offering guarantees enable OSPs to increase prices; in monopolistic markets, guarantees are offered only if the service guarantee strength is sufficient, whereas in competitive markets, decisions depend on relative strengths and competitor actions. Surprisingly, slower response times under service guarantees can boost profits, especially when resource costs …

5g-Practical Byzantine Fault Tolerance: An Improved Pbft Consensus Algorithm For The 5g Network, Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng

Information Technology & Decision Sciences Faculty Publications

The consensus algorithm is the core technology of blockchain systems to maintain data consistency, and its performance directly affects the efficiency and security of the whole system. Practical Byzantine Fault Tolerance (PBFT) plays a crucial role in blockchain consensus algorithms by providing a robust mechanism to achieve fault-tolerant and deterministic consensus in distributed networks. With the development of 5G network technology, its features of high bandwidth, low latency, and high reliability provide a new approach for consensus algorithm optimization. To take advantage of the features of the 5G network, this paper proposes 5G-PBFT, which is an improved practical Byzantine fault-tolerant …

Employers' Perceived Value Of High School Industry Recognized Credentials, Teri Harris, Mickey Kosloski, Philip A. Reed

Educational Leadership & Workforce Development Faculty Publications

The purpose of this study was to determine whether industry-recognized credentials (IRCs) earned in secondary school led to quality employment and which IRCs should be integrated into career and technical education (CTE) high school courses. Using survey data from business leaders across the 14 nationally recognized Career Clusters (Advance CTE, 2024a), credentials were ranked by importance within five program areas (n = 257). Pareto analysis revealed 80% of respondents rated health sciences, family and consumer sciences, and agricultural sciences credentials highest, while business/marketing and skilled/technical sciences/STEM credentials did not rank in the top 20%. This research provides empirical evidence for …

A Systematic Literature Review On Resilient Digital Transformation, Examining How Organizations Sustain Digital Capabilities, Thira Chavarnakul, Li Da Xu, Zhuming Bi, Achyut Shankar, Gaurav Dhiman, Wattana Viriyasitavat, Danupol Hoonsopon

Information Technology & Decision Sciences Faculty Publications

In an era marked by relentless technological shifts and market volatility, digital transformation (DT) alone is insufficient. Organizations must develop Resilient Digital Transformation (RDT)—the organizational capabilities required to sustain DT over a medium-term horizon—to navigate these challenges effectively. This study primarily aims to propose a guideline for fostering RDT. Drawing on the PRISMA guidelines and a systematic review of 77 peer-reviewed papers, this study identifies and synthesizes key targets and drivers across three core pillars: Technology, Organization, and External Environment. These elements collectively foster organizational resilience. Specifically, this study highlights how adaptability, innovation, and scalability form the technological underpinnings of …

Towards Dynamic Learner State: Orchestrating Ai Agents And Workplace Performance Via The Model Context Protocol, Mohan Yang, Nolan Lovett, Belle Li, Zhen Hou

Educational Leadership & Workforce Development Faculty Publications

Current learning and development approaches often struggle to capture dynamic individual capabilities, particularly the skills they acquire informally every day on the job. This dynamic creates a significant gap between what traditional models think people know and their actual performance, leading to an incomplete and often outdated understanding of how ready the workforce truly is, which can hinder organizational adaptability in rapidly evolving environments. This paper proposes a novel dynamic learner-state ecosystem—an AI-driven solution designed to bridge this gap. Our approach leverages specialized AI agents, orchestrated via the Model Context Protocol (MCP), to continuously track and evolve an individual’s multi-dimensional …

Feel Bad To Discard A Fashion Product: How Ai Designers Influence Individuals' Sustainable Consumption, Ha Kyung Lee, Dooyoung Choi

Educational Leadership & Workforce Development Faculty Publications

This study explores how AI technology in fashion design influences consumers' sustainable consumption behaviors, focusing on emotional attachment to products. By comparing AI-generated and human-designed fashion items, the study examines how designer type impacts negative emotions about discarding products, mediated by emotional attachment. Results from two experimental studies reveal that designer type significantly affects negative emotions toward discarding human-designed items, but emotional attachment was not influenced by designer type in the first study. This lack of difference may be due to personal characteristics that moderate the effect. The second study found that individuals who perceive AI as human-like form stronger …

Exploring The Impact Of Value Co-Creation Through Ai-Driven Chatbbots On Customer Repeat Purchases, Dooyoung Choi, Jaeha Lee

Educational Leadership & Workforce Development Faculty Publications

Drawing on the Stimulus-Organism-Response (S-O-R) framework, this study explores how perceived value co-creation during chatbot interactions influences customer repeat purchase intentions through cognitive, emotional, and social responses to chatbots. A survey of 220 participants revealed that perceived value co-creation significantly affected repeat purchase intentions, with cognitive evaluations, emotional reactions, and social value serving as key mediators. However, the direct effect of value co-creation on purchase intentions was not significant. The findings suggest that while value co-creation enhances consumer engagement, repeat purchases occur only when consumers experience positive cognitive, emotional, and social outcomes. Therefore, it is crucial for retailers to incorporate …

Optimizing Port Logistics Through Generative Ai: Revolutionizing Efficiency And Resilience In The Maritime Industry, Minodora Badea, Olga Bucovetchi, Adrian V. Gheorghe, Gabriel Raicu

Engineering Management & Systems Engineering Faculty Publications

The maritime industry faces growing challenges in optimizing port logistics due to increasing trade volumes, environmental regulations, and supply chain disruptions. This comprehensive literature review examines the transformative role of artificial intelligence (AI), with particular focus on generative AI, in enhancing efficiency and resilience in port operations. Through systematic analysis of 23 peer-reviewed studies published between 2021-2025, this review synthesizes advancements in real-time data integration, machine learning, digital twins, IoT, and autonomous systems that collectively improve operational decision-making, risk management, and environmental sustainability. Key findings reveal that machine learning applications achieve 90% effectiveness ratings in operational optimization, while predictive analytics …

A Comparative Analysis Of Preprocessing Filters For Deep Learning-Based Equipment Power Efficiency Classification And Prediction Models, Sang-Ha Sung, Chang-Sung Seo, Michael Pokojovy, Sangjin Kim

Mathematics & Statistics Faculty Publications

The quality of input data is critical to the performance of time-series classification models, particularly in the domain for industrial sensor data where noise and anomalies are frequent. This study investigates how various filtering-based preprocessing techniques impact the accuracy and robustness of a Transformer model that predicts power efficiency states (Normal, Caution, Warning) from minute-level IIoT sensor data. We evaluated five techniques: a baseline, Simple Moving Average, Median filter, Hampel filter, and Kalman filter. For each technique, we conducted systematic experiments across time windows (360 and 720 min) that reflect real-world industrial inspection cycles, along with five prediction offsets (up …

Unconventional Philosophies And Practices: Vietnamese Family Firm Performance In Multiple Countries, Amon Simba, Mai Thi Thanh Thai, Aymen Ammari, James V. Koch, Paul Jones

Economics Faculty Publications

The diversity of business philosophies and practices across family firms suggests their performance is influenced by factors that can be hard to isolate or understand. Based on 215 observations of Vietnamese firms operating in Asia, Australia, Europe, and North America, we use fuzzy-set qualitative comparative analysis techniques to discern the configurational relationships underlying their performance pathways. Of the 64 possible configurations, three pathways with a high consistency (95 percent) for high performance are distinguishable. These three pathways are characterized by varying degrees of family labor involvement, social network-based labor sourcing, and capital contributions from partners. They reveal how cultural factors, …

Ethnic Politics And Fiscal Dominance: Implications For Currency Union Formation In Sub-Saharan Africa, Benjamin D. Keen, Christine O. Strong

Economics Faculty Publications

Numerous currency unions have been proposed in Africa over the past 50 years, but none have succeeded. This paper asserts ethnic favouritism is a crucial yet often overlooked feature that strongly influences an African government’s willingness to join a currency union. We use a Barro and Gordon (1983) style model that incorporates fiscal dominance, political business cycles and ethnic favouritism to assess the benefits and costs to African households and governments of joining a currency union. Our results show that ethnic alignment between the head of state and central bank governor amplifies fiscal dominance, which reduces an African government’s desire …

Women Leaders' Lived Experiences Of Bravery In Leadership, Michelle E. Bartlett

Educational Leadership & Workforce Development Faculty Publications

Purpose

The research aims to understand the stories of women leaders who have demonstrated bravery in leadership. By analyzing their lived experiences through storytelling and narratives, it seeks to shed light on the challenges and motivations behind their brave actions, contributing to a deeper understanding of bravery in leadership within gender and organizational contexts.

Design/methodology/approach

This study adopts a qualitative multiple case study approach, focusing on the autobiographical accounts of three women leaders to explore their experiences of bravery in leadership. Utilizing narrative analysis (NA), it is grounded in ethical leadership theory and narrative identity theory. The research method involves …

The Past, Present, And Future Of Adaptive Selling: Toward An Integrative Framework, Nawar N. Chaker, Rhett T. Epler, Gabriel Moreno, Dana Amiri, Elizabeth G. Mcdougal

Marketing Faculty Publications

Adaptive selling represents a notable and influential concept in the marketing literature. Despite being discussed in scholarly research and managerial practice for over forty years and mixed findings about its impact, a comprehensive understanding of the construct of adaptive selling remains missing. To remedy this critical knowledge gap, we conduct a comprehensive review of 188 articles across twenty-seven journals. We combine three approaches in our survey of the literature, including a systematic review, a main path analysis, and a bibliographic analysis. Together, this three-prong review offers profound insights into the state of adaptive selling research by (1) mapping the key …

(In)Attention To Attractive Brand Alternatives, Danielle J. Brick, Veronica L. Thomas

Marketing Faculty Publications

Understanding how consumers maintain their brand relationships has important implications for marketers as committed consumers contribute significant value to firms. In the present research, we propose and test one such way consumers protect their brand relationships, namely through attentional avoidance of attractive alternative partners. Across multiple studies, we find support for our theory that committed consumers avoid attending to alternative brand partners by recalling less about and spending less time focused on attractive alternatives. We further find that this inattention occurs because consumers view the competing brand as a threat to the consumer’s current relationship. In addition, we investigate a …

Developing Systemic Thinking Skills: Design-Based Research Of One-Page Tools For Public Managers, Tracey A. Regenold, Sheila E. Murphy, Philip A. Reed

Educational Leadership & Workforce Development Faculty Publications

A design-based research study on the development of one-page tools to support systemic thinking in public managers is presented. Study participants included public managers of social and human service agencies within government or nonprofit organizations, as learners for whom the tools were designed; and instructional design professionals, offering expert opinions regarding the design of tools for adult learners. The design process consisted of generating ideas, visualizing ideas and developing prototypes of the tools. Formative assessments of tool prototypes were conducted in several small online focus groups, sharing specific tools to be used within the context of specific management practices, such …