Business Commons^™

Social Procurement As A Catalyst For Dei In Construction: Some Takeaways For Hrm?, Jennifer Waterhouse, Robyn Keast, Judy Lundy, Martin Loosemore

Research outputs 2022 to 2026

Purpose: Diversity, equity and inclusion (DEI) initiatives aim to foster workplaces where all employees feel valued and can add value. Increasingly, the success of these initiatives is influenced by environments and interactions beyond organisational boundaries, including recent backlash. Despite this, most DEI research remains focused on intra-organisational aspects and human resource management (HRM) activities. The purpose of this paper is to introduce social procurement as a novel and promising framework for advancing DEI in theory and practice through a collaborative, inter-organisational approach that has the potential to overcome institutional barriers and mitigate backlash. Design/methodology/approach: Data were collected through 15 in-depth …

Public Procurement’S Role In Shaping Supply Markets: A Taxonomy Of Local Contracting Authorities’ Approaches Using The Awareness-Motivation-Capability Framework, Steven Borobia, Frederik G.S. Vos, Louise Knight, Esmee Peters, Fons Wijnhoven, Niels Uenk

Business Faculty Publications and Presentations

Purpose: Public procurement is increasingly recognised as a tool for governing and shaping supply markets. Yet we still know little about how local authorities engage in market shaping through contracting practices, especially in newly decentralized markets. This study investigates the role of awareness, motivation and capabilities (AMC) in how municipalities influence (or fail to influence) social care markets, and how these dynamics manifest in contracting practice. Design/methodology/approach We combine secondary data with semi-structured interviews conducted with procurement professionals across municipalities, regional consortia, and expert organizations. The case context is Dutch social services procurement, which transitioned to a decentralised market in …

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 …

Esg News-Based Public Sentiment, Media Attention And Stock Price Crash Risk, Kesara Hewage, Subhash Abhayawansa, Mardy Chiah

Research outputs 2022 to 2026

Purpose: This study aims to examine whether media-driven public perception of a firm’s environmental, social and governance performance (i.e. ESG news sentiment) and its media attention are associated with subsequent stock price crash risk. Using public sentiment formed from ESG news alone – separate from firms’ self-reported ESG performance – study investigates whether media-based ESG information provides incremental informational content about crash risk beyond disclosure-based ESG metrics.

Design/methodology/approach: The authors analyse more than 34, 000 semi-annual firm-level observations for US-listed firms from 2011 to 2021, using Refinitiv MarketPsych ESG sentiment and media attention data. They conduct cross-sectional and channel tests …

Working Mothers Of Children With Disabilities: Professional And Social Identity Negotiation, Christy D. Boyles

Dissertations

Women who have children with disabilities may struggle with both employment and childcare, and have barriers to re-entering the workforce. One struggle is the role identification and negotiation that occur when one transitions from one role to another. This research sought to answer the following questions: RQ 1. How does professional identity influence the “return to work” decisions for mothers who have children with disabilities? RQ 2. How do working mothers of children with disabilities negotiate their identities as caregivers and professionals? RQ 3. What other emerging factors affect women’s decisions to return to the workforce? A purposeful sample of …

The Effects Of Eps Level And Presentation Format Of Analysts’ Forecast Deviation On Non-Professional Investors’ Investment Judgments, Clarence Goh, Prasart Jongjaroenkamol, Poh-Sun Seow

Research Collection School Of Accountancy

We experimentally investigate how the presentation format of the extent to which a firm's earnings per share (EPS) diverges from analysts' EPS forecasts (i.e. deviation information) and a firm's EPS level affect the investment judgments of non-professional investors (referred to hereafter as “investors”). Our results suggest that investors' investment judgments are more positive when firms with low (high) EPS levels disclose deviation information in percentage (absolute) terms. Furthermore, when the percentage of forecast deviation is held constant, investment judgments are more positive when EPS levels are high versus low if the deviation information is expressed in absolute terms. By contrast, …

Optimizing Inventory Management, William Hawkins

Agricultural Economics and Agribusiness Undergraduate Honors Theses

Inventory management is extremely important for businesses to maximize their profitability. Many factors go into the decision-making process for how much inventory to hold and when to restock this inventory. Through the process of an internship, I determined that some of the most important factors were the amount of a part that needed to be ordered at a time and what order quantities would allow for high levels of customer satisfaction. In this research, I compared these factors between the different models I studied, and the data I received from Riggs CAT to determine whether or not maximum efficiency and …

Quantifying Customer Sentiment For Automobile Brand Perception Analysis Using Machine Learning On Twitter, Sujith Samuel Mathew, Kadhim Hayawi, Neethu Venugopal, May El Barachi

All Works

Social networking sites provide a platform for individuals to express their opinions publicly. Brand managers actively use these platforms to gain insights into brand perceptions, as users often share their views on products and services. In this study, we use sentiment analysis to assess customer sentiment towards five leading automobile brands, analyzing text content shared on Twitter(or X). The research models the ’Brand Polarity Score’, which indicates whether customers perceive the brand positively or negatively. This score is further weighted based on the tweet’s influence, characterized by the engagement metrics of the tweet and the author’s follower count. We also …

Will Your Ai Turn Backers Away? Evidence From Kickstarter's Ai-Use Disclosure Policy, Sonika Singhal, Yeongin Kim, Seonjun Kang, Victoria Yoon

Business and Information Technology Faculty Research & Creative Works

Generative artificial intelligence (GenAI) is reshaping how creative work is produced, raising new questions about authenticity, originality, and human effort in entrepreneurial settings. We examine how platform-mandated AI-use disclosure is associated with crowdfunding outcomes, using Kickstarter's 2023 disclosure policy and a dataset of over 63,000 campaigns launched between 2022 and 2024. Drawing on signaling theory, we argue that an AI-use label functions as a platform-governed cue that backers may interpret as signaling reduced human effort, potentially shaping how they evaluate creators and campaigns. Empirically, we find that AI-use disclosure is associated with a significantly lower likelihood of campaign success, with …

Be Watchful Of “Perfect Mediocracy” In Tourism Research!, Songshan (Sam) Huang

Research outputs 2022 to 2026

No abstract provided.

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 …

Gender Gap In Returns To Publications, Piotr Śpiewanowski, Ivan Stetsyuk, Oleksandr Talavera

All Works

Gender equity in science depends not only on who participates in research, but also on how their work is rewarded. We examine gender gaps in monetary returns to research productivity, pay, and credit attribution using a novel dataset linking salary and publication records for professors at U.S. public universities. While our main contribution shows that there is no robust evidence of a significant gender gap in monetary returns to publications, we uncover substantial heterogeneity across disciplines and authorship structures. Women in medical and health sciences experience a negative gap in returns of 10.7% relative to men for equivalent research output. …

How Leaders Build Employee Trust In Artificial Intelligence: Voice Opportunities, Humility, And Trust Transfer, Jack Mcguire, David De Cremer, Devesh Narayanan

Research Collection Lee Kong Chian School Of Business

Artificial intelligence is increasingly central to organizational work, yet employee trust in AI remains fragile. Although prior research has primarily explained trust in AI through technological characteristics such as transparency, reliability, and accuracy, we argue that trust in AI is also shaped by the social context in which employees encounter these systems. Drawing on affect-as-information theory and social information processing theory, we develop and test a model in which leader-provided voice opportunities reduce employees’ negative affect about AI-related work experiences, thereby enhancing perceptions of leader trustworthiness and, in turn, trust in AI. We further propose that this indirect effect depends …

The Role Of Corporate Sustainability Goals In Shaping Organizational Intentions And Adoption Of Green Technologies In Small- And Medium-Sized Enterprises, Syed Zamberi Ahmad, Abdul Rahim Abu Bakar, Imane Belyamani, Manar Fawzi Bani Mfarrej

All Works

This study investigates green technology adoption (GTA) among small and medium-sized enterprises (SMEs) in the United Arab Emirates (UAE), focusing on the influence of corporate sustainability goals (CSG) and sustainability motivation (SM). Utilizing institutional theory, the theory of planned behavior (TPB), and resource-based view (RBV), the research highlights how SMEs integrate environmental, social, governance (ESG) and economic considerations into their CSG to enhance GTA. Addressing a gap in prior research that has largely emphasized external drivers of adoption while underexploring internal organizational mechanisms, the study conceptualizes CSG as strategic intent and models SM as a second-order construct . Based on …

Rad Dudes, Rude ‘Tude, And The Family, Too: How Nintendo And Sega Advertisements Shaped The Image Of Gaming In The 1990s, Megan Condis, Jess Morrissette

Political Science Faculty Research

The tale of the console wars of the 1990s, the stodgy, conservative, family-friendly Nintendo consoles waging an advertising war against the rebellious upstarts behind the Sega Genesis, has been told many times over. These histories are “typically a mix between summaries of factual data and interviews of the key actors who were part of the events” (Arsenault 2017, p. 9). However, there has been relatively little research taking a systematic approach to measuring the veracity of these narratives. This article aims to supplement those histories by examining an archive of 2,875 print video game advertisements spanning from 1989 to 1995. …

Team-On-Team Negotiation: How Internal Structure Shapes What Teams Can Do At The Table, Leyi Holly Shi, Tianyu He, Robert B. Lount Jr., Michael Schaerer, Roderick I. Swaab

Research Collection Lee Kong Chian School Of Business

Team negotiation research presents a paradox: teams sometimes achieve more integrative outcomes than solo negotiators, yet in other cases they escalate competitiveness and harm relational outcomes. Existing theory has not resolved this inconsistency, in part because it treats negotiating teams as if they could change positions as easily as individual negotiators. We argue this assumption overlooks a central constraint of team-on-team negotiation: before any adaptive external exchange can occur, teams must internally authorize revisions to their positions as new information emerges. Drawing on evidence from research on team negotiation, multiparty negotiation, and team design, we identify this internal capacity as …

Linking Sustainability Performance To Stock Resilience During And After Covid-19 Crisis: Evidence From Southeast Asia, Khalilul Rahman, Retnosari Retnosari, Sanda Patrisia Komalasari, Muhammad Wafiq

Jurnal Akuntansi dan Keuangan Indonesia

Background: The COVID-19 pandemic severely disrupted markets. While sustainability performance measured by ESG scores theoretically buffers against shocks, its efficacy in emerging markets with nascent sustainability frameworks remains underexplored. Method: We analyze a balanced panel of 1,395 observations from 279 non-financial Southeast Asian firms (2020–2024). Using OLS, lagged, and fixed effects models, we compare the impact of sustainability performance on stock resilience during the 2020–2022 and post-pandemic (2023–2024) periods. Findings: Sustainability performance (ESG scores) significantly enhanced stock resilience during the pandemic. However, this protective effect dissipated post-pandemic. Results confirm a statistically significant improvement in overall resilience following the crisis, as …

Temporally Rigorous And Traceable Predictive Maintenance Via Joint Labeler-Model Optimization, Maytha Al-Ali, Ahmad Alharbi

All Works

Predictive maintenance (PdM) is a critical enabler of intelligent asset management in Industry 4.0, yet many existing frameworks remain difficult to operationalize due to methodological fragmentation. Common limitations include sacrificing temporal realism and class granularity for computational expediency, decoupling labeling strategy design from model hyperparameter optimization, and insufficient support for reproducibility and deployment traceability; particularly in rare-failure regimes. To address these challenges, we propose a unified, end-to-end, and fully traceable PdM framework that jointly optimizes labeling and model parameters while enforcing strict temporal fidelity. The proposed pipeline co-optimizes the failure lookahead window () and LightGBM hyperparameters within a single Bayesian …

Integrating Machine Learning And Explainable Ai For Employee Attrition Prediction In Hr Analytics, Maytha Al-Ali, Majed Alwateer, Shatha Abed Alsaedi, Hossam Magdy Balaha, Mahmoud Badawy, Mostafa A. Elhosseini

All Works

Employee attrition poses significant challenges to organizations, impacting productivity, morale, and financial stability. Predicting attrition and understanding its underlying drivers are critical for implementing effective retention strategies. In this study, we propose a comprehensive framework that utilizes advanced machine learning techniques to predict employee attrition and job change likelihood. The framework integrates robust preprocessing pipelines, state-of-the-art predictive models, and explainability tools such as SHAP (SHapley Additive exPlanations) to ensure transparency and fairness in HR analytics. By addressing key challenges such as class imbalance, feature selection, and model interpretability, our approach provides actionable insights for proactive talent management. We evaluate the …

Generative Ai Adoption And Solvers' Popularity On Supply-Driven Crowdsourcing Platforms: The Dual Role Of Price Signals, Zimeng Zhu, Carol Hsu, Fiona Fui-Hoon Nah, Na Liu

Research Collection School Of Computing and Information Systems

Purpose – We investigate the effect of solvers’ adoption of Generative AI (GenAI) on their popularity in a supply-driven crowdsourcing platform. We also examine the impact of price signals as well as their heterogeneous impact based on the solvers’ membership duration on the platform. Design/methodology/approach – Our analysis focuses on solvers who adopt GenAI for design-related gigs on the supply-driven crowdsourcing platform. By combining propensity score matching (PSM) with multi-period difference-in-differences (DID), we examine how GenAI adoption impacts solvers’ popularity and how price signals affect this main effect. Findings – Our findings reveal that solvers who adopt GenAI tend to …

Labor Mobility, Managerial Evaluation Risk, And Corporate Performance Disclosures, Justin Hung Nguyen, Buhui Qiu, Cameron Truong

Research outputs 2022 to 2026

This study documents that managers of firms with greater labor mobility (LM) face higher personal evaluation risk (i.e., higher likelihood of performance-driven forced turnover), especially among firms with more transparent performance disclosures. Moreover, managers of high-LM firms tend to adopt lower-quality performance disclosures (i.e., lower financial statement readability, earnings quality, and accounting conservatism) to mitigate their personal evaluation risk. The effect of LM on performance disclosure quality is stronger for firms whose managers are more concerned about personal evaluation risk, but is weaker for firms headquartered in states that restrain mobility. Finally, low-quality disclosures by high-LM firms attract a valuation …

A Serial Parallel Mediation Analysis Of Pathways To Green Entrepreneurial Intention Via Educational Interventions, Teaching Methods And Personality Traits, Emefa Akua Amponsah, Victor Fannam Nunfam, Hafiz Adam, Maajid Zakaria Suleiman, Ebenezer Afrifa-Yamoah

Research outputs 2022 to 2026

The complex interplay linking educational interventions with personality development in fostering green entrepreneurial intention (GEI) remains insufficiently explored within African higher education contexts. In addressing this gap, we examine the mediation effect of teaching methods (TM) and personality traits (PT) in the relationship among entrepreneurship curriculum (EC), university entrepreneurship support (UES), and students’ GEI in Ghana’s technical university ecosystem. Combining the Theory of Planned Behaviour with Social Cognitive Career Theory, we employed an explanatory cross-sectional design to investigate these relationships. Data collected from 1329 students across four Ghanaian technical universities were analysed using PLS-SEM to test a novel serial-parallel mediation …

Sme-Team: Leveraging Trust And Ethics For Secure And Responsible Use Of Ai And Llms In Smes, Iqbal H. Sarker, Helge Janicke, Ahmad Mohsin, Leandros Maglaras

Research outputs 2022 to 2026

Artificial Intelligence (AI) and Large Language Models (LLMs) are revolutionizing today’s business practices; however, their adoption within small and medium-sized enterprises (SMEs) raises serious trust, ethical, and technical issues. In this perspective paper, we introduce a structured, multi-phased framework, “SME-TEAM", positioning trust and ethics as a driving force for resilience, competitiveness, and sustainable innovation within the area of business analytics and SMEs.

Critical Environmental Accounting And Accountability In Anti-Democratic Times: Agonistic Repoliticization And Critical Environmental Politics, Judy Brown, Jesse Dillard

Business Faculty Publications and Presentations

To foster and advance critical environmental accounting and accountability (CEAA) research, we argue there is a need to foreground the political dimensions of environmental issues by addressing plurality, conflict, contestability and power. Contemporary environmental accounting and accountability (EAA), especially as it is increasingly mainstreamed, often remains entrenched in allegedly apolitical technocratic-managerial and market logics. At the same time climate denialism and authoritarian neoliberalism intensify pressures against critical research. Drawing on critical environmental politics scholarship, we interpret these developments as part of broader depoliticizing and anti-democratic formations that narrow the questions EAA asks, how problems are represented, and the socio-ecological futures …

When The Bridge Is Not At Sea : Investigating Transfer Of Learning From Full-Mission Bridge Simulator To Navigation Training Onboard, Thammawan Phanphichit

World Maritime University Ph.D. Dissertations

This dissertation explores, through a mixed-methods approach, how fullmission bridge simulators support transfer of learning to navigation training onboard, and under what conditions transfer can be trusted. Qualitative and quantitative components were integrated across the four articles. The first study explores how key onboard training stakeholders perceive its challenges, limitations, and the possibility of reducing required sea-time. Findings show broad agreement that OBT remains important, though openness to simulator use was conditional on credible evidence that simulator-developed competence can transfer onboard. The second and third studies examine this through transfer of learning theory. A systematic review identifies elements influencing transfer …

Climate Finance Paradox: Economic Fundamentals Outweigh Climate Exposure In Global Green, Blue, And Orange Bond Markets, Lovidya Helmi, Rofikoh Rokhim

Journal of Environmental Science and Sustainable Development

Physical climate impacts can place pressure on public finances, but their association with country-level thematic bond issuance remains unclear. Although country-level green bond markets have been studied, comparative evidence across thematic bond categories remains limited. This study examines whether historical climate impacts are associated with green and blue bond issuance and an exploratory social/sustainability bond proxy, and whether these associations differ after 2015. An unbalanced panel of 184 countries over 2015–2023 (1,271 country-year observations; 183 of the 184 countries enter the fixed-effects estimation) is analyzed using a log-linear Fixed-effects model selected via the Hausman test (χ²(10)=73.29; p<0.001), with the Germanwatch Climate Risk Index (CRI) as the proxy for physical climate risk; orange bond results are treated as exploratory given data sparsity (98.0% zeros). Across all three instruments, CRI shows no statistically significant association with issuance, whereas GDP per capita is positively associated with green (β=0.379, p=0.001), blue (β=0.1148, p=0.017), and proxy issuance (β=0.1148, p=0.037). This pattern is consistent with a capacityconditioned view, in which fiscal and capital-market capacity precedes thematic bond issuance. The models explain little within-country variation (R²=0.033 to 0.079). Post-2015 interactions are significant for green and proxy issuance, but the single pre-period year does not support attribution to the Paris Agreement. Fixed-effects linear probability models yield similar results, whereas PPML estimates are unstable under substantial data separation. Interpretation is limited by sparse issuance observations, uncertain proxy classification, and possible time-varying confounding. The study extends country-level evidence on thematic sustainable bond issuance by examining green and blue bonds alongside an exploratory social/sustainability bond proxy using country fixed effects. GDP per capita is thus more consistently associated with issuance than historical climate-impact rankings, although the underlying mechanisms cannot be established.

Refereed Research - Health Is The Greatest Wealth: A Research Agenda For Subsistence Marketplaces, Samanthika Gallage Dr

Subsistence Marketplaces

Health is a major challenge for people who live in subsistence because poverty heightens exposure to disease and weakens access to care. Yet it has received limited and fragmented attention in subsistence marketplaces research. Health decisions are made within the same trade-offs, uncertainty, unfamiliarity and relational exchange that shape other subsistence consumption. At the same time, health also goes beyond other mundane consumption decisions: it demands abstract causal reasoning, carries heightened vulnerability, and depends on information and trust that consumers cannot easily verify. Therefore, this paper argues that health should be treated as a core area of study in subsistence …

Surprising Payouts In Parimutuel Numbers Games, Anthony Gamst, Skip Garibaldi

UNLV Gaming Research & Review Journal

When legal numbers games first appeared in the United States, something surprising happened: Payouts were high, then decreased significantly to a steady state, all without any changes to the rules or payout formula.  We resolve this mystery.  Using a formula for the expected payout developed in a companion paper, together with new data sets on how gamblers choose which numbers to bet on, we simulate parimutuel numbers games under varying assumptions about gambler behavior.  Even after combining the observed sales growth with a deliberately large migration from straight wagers toward box and pair wagers, the simulation explains only about half …

Florence As She Is, The Florence Times/M. Ohlander

Documents

Florence As She Is-"A review of her past, present and her great future," 1903.

Ai-Oriented Digital Governance And Financial Transparency: Evidence From Chinese Listed Firms, Yulun Gu Mr.

Bulletin of Monetary Economics and Banking

This study investigates whether Chinese listed firms’ financial transparency improves with AI. Our main AI measure is AI-related disclosure intensity based on annual report text. We validate it using firm-year proxies for AI-related patents and AI/software investment to reduce potential symbolism. We add extensive controls, governance covariates, and mechanism tests to support the instrumental-variable results. From 2011 to 2023, we measured transparency through stock-exchange disclosure quality ratings and AI through annual report AI-related language for 1,028 Shanghai and Shenzhen Stock Exchange firms. Using provincial internet penetration as an AI instrument, we estimate two-way fixed effects models and address endogeneity using …