Business Commons^™

Timing Whistleblowing, Andrew K. Jennings

Faculty Articles

Whistleblower programs (WBPs) expose hidden corporate wrongdoing. They do so by offering retaliation protection and financial bounties to those who bring original information to law enforcement about unseen, and often complex, misconduct. Under a standard account, whistleblowing serves the public interest by increasing the ex post detection of illegal activity and the ex ante risk of its exposure. That standard view—which centers whistleblowing on detecting wrongdoing—is incomplete, however. To present a fuller view, this Article introduces a complementary model that refocuses whistleblowing as preventing wrongdoing. Working together, these models show that a WBP can do more than enable detection at …

Steady As She Goes: Remote Work Benefits Daily Goal Progress Through Reduced Energy Variability, Andrew A. Bennett, Kathleen R. Keeler, Emily D. Campion, Sheila K. Keener

Management Faculty Publications

As the prevalence and allowance of remote and hybrid work evolves, research has shown consistently mixed findings about how work location is related to worker energy and perceptions of daily performance. We aim to resolve this ambiguity by integrating affective events theory with ideas about emotion dynamics to develop new theorizing explaining why energy variability, rather than mean energy level, is an important predictor of daily goal progress. We test our hypotheses using a sample of 219 employees from one organization allowing remote and hybrid work, capturing individual hourly energy levels for five consecutive workdays (4,812 hourly observations). Our …

Beyond Price: How Platform Power Shapes Demand Allocation In Online Hotel Channels, Ling Ling, Timothy Webb, Zvi Schwartz

Human Movement Studies & Special Education Faculty Publications

Rate disparity remains a widely used but poorly understood pricing strategy in the hotel industry. While previous research generally assumes that lower prices shift demand toward less expensive channels, this study investigates whether such effects occur in practice. Using high-frequency booking and pricing data from five full-service hotels across multiple online travel agencies (OTAs), we analyze how rate disparity relates to the distribution of demand across channels. The findings show that the impact of price differences is limited, highly non-linear, and strongly dependent on contextual factors. Channel market power and hotel-specific characteristics seem to play a more significant role than …

Lied Center For Performing Arts Strategic Analysis, Daniel Cutler

Honors Program: Senior Projects (Public)

This video essay develops a strategic analysis of the Lied Center for Performing Arts through an interview with an associate director at the Center, personal experiences working for the Center, and other external research. It starts with an introduction to the Lied Center, including its mission, vision, and activities. Using strategic frameworks, namely PESTEL analysis and Porter’s Five Framework, a general analysis of the Center’s industry is conducted. These frameworks demonstrate the difficult landscape the Center finds itself in, with some of the more notable struggles stemming from economic factors and competition from other entertainment venues. From there, suggestions and …

When Money Moves In: The Consequences Of Housing Wealth, Darren Aiello, Jason Kotter, Gregor Schubert

Faculty Publications

We construct a novel dataset of millions of household moves over 25 years to examine how housing wealth affects purchase decisions. We find that a $1 exogenous increase in housing equity leads movers to pay a $0.06 premium on their next home, controlling for property characteristics and time-varying local prices. This behavior is driven by search frictions— wealthier households pay a premium rather than incur additional search costs. In aggregate, these decisions spill over to the broader housing market and cause upward regional price pressure. A 10% increase in equity gain among incoming movers increases local house price growth by …

Multihoming And Single-Homing Complementors' Responses To Intensified Between-Platform Competition: Evidence From The Youtube–Twitch Rivalry, Niloofar Abolfathi

Research Collection Lee Kong Chian School Of Business

Research Summary: This paper examines how heterogeneous YouTube content creators-specifically, single-homing and multihoming channels-respond to a sudden increase in the exposure of the rival platform, Twitch. Contrary to expectations, I find that multihoming channels reduce their content creation efforts and underperform relative to single-homers. To make sense of these surprising results, I develop a formal model that characterizes the strategic behavior of different types of complementors operating across two platforms with varying levels of user exposure. The model offers a plausible explanation for the observed empirical patterns, suggesting that intensified competition between platforms, as a consequence of their changing exposure, …

Trading With The Enemy: A Coopetitive Perspective Of Resource Exchange At Arm’S Length, Zhefei Li, David Gomulya, Heli Wang

Research Collection Lee Kong Chian School Of Business

Research Summary: Research on inter-firm cooperation often focuses on long-term strategic alliances while overlooking the distinct form of arm's-length resource exchanges. Our study addresses this gap using the National Basketball Association (NBA) data for precise resource exchange measurements. Contrary to strategic alliances, where competitive pressure fosters cooperation, we find that competitive pressure reduces cooperation in arm's-length exchanges. However, relational capital helps to facilitate resource exchanges. We also found that while resource bundling exacerbates the negative effect of competitive pressure, it amplifies the positive effect of relational capital. Interestingly, relational rivalry intensifies the impact of competitive pressure but does not diminish …

Navigating An Uncharted Path: Chief Diversity Officer Challenges In Creating And Implementing A Dei Strategy Plan Within Major Hospital Systems, Diane Shines Mcdaniel

Antioch University Dissertations & Theses

This qualitative phenomenological study investigated the major challenges Chief Diversity Officers (CDOs) face when creating and implementing DEI strategy plans within major hospital systems in the United States. The study was guided by one research question: What are the major challenges that Chief Diversity Officers face in creating and implementing a DEI strategy plan within major U.S. hospital systems? A phenomenological design was used to examine the challenges of six Chief Diversity Officers serving in major U.S. hospitals as they led DEI strategy planning and implementation. Data were generated through semi-structured interviews consisting of eight open-ended questions designed to elicit …

Evolving Paradigms Of Sustainability In Luxury Fashion: Evidence From An Emerging Market, Sandipan Sen, Sphurti Sewak, Swati Singh, Moutusy Maity, Aniruddha Pangarkar

Faculty Publications – Marketing

The global fashion industry is both an economic driver and a major contributor of environmental and social challenges. This research examines how sustainable luxury fashion is constructed and adopted within an emerging market context by integrating perspectives from entrepreneurs, industry managers, and consumers. Utilizing a mixed-methods approach and drawing upon Self-Identity Theory and need for uniqueness, this research explores how identity-based motivations shape sustainable luxury consumption. Study 1 employs in-depth interviews with luxury fashion entrepreneurs and practitioners to uncover how sustainability is embedded within luxury value propositions. Building on these insights, Study 2 quantitatively tests a conceptual model examining the …

Neuroattnfusenet Dual Branch Attention Fusion For Brain Tumor Mri Classification, Md Sanowar Hossain Sabuj, Farzana Sultana, Md Hasan Or Rashid, Rahul Mudhiraj Mullela

Student Publications

Brain tumor MRI classification remains challenging because tumor appearance varies across cases, class boundaries can be visually subtle, and public 2D MRI datasets may contain redundancy or source-specific biases that inflate reported performance. This study proposes NeuroAttnFuseNet, a dual-path attention-guided fusion network for four-class MRI image classification into glioma, meningioma, pituitary, and no tumor. The model combines a Swin-T branch for hierarchical local morphological representation with a frozen DINOv2 ViT-B/14 branch that provides a 768-dimensional global descriptor from the [CLS] token. The Swin and DINOv2 features are concatenated and passed through a channel-attention gate and fusion MLP before final softmax …

Freedom Of Expression Protection And Corporate Concealment Of Bad News: Evidence From State Anti-Slapp Laws, Jimmy Lee, Shaphan Ng, Il Sun Yoo, Liandong Zhang

Research Collection School Of Accountancy

The protection of free speech enhances the ability of various public stakeholders to disseminate privately observed adverse information about public firms, making it difficult for corporate managers to conceal negative information about their companies. Using the staggered enactment of anti strategic lawsuit against public participation (anti-SLAPP) laws across U.S. states as a shock that strengthens free speech protection, we show that stronger protection is associated with less concealment of bad news. This is evidenced by a lower likelihood of stock price crashes, a decreased probability of accounting fraud, and an increased frequency of firm-initiated negative press releases. These results are …

Peer Effects Of Corporate Disclosures: Evidence From The Registration-Based Ipo System In China, Ruilin Liu, Beng Wee Goh, Dan Li, Zheyuan Zhang

Research Collection School Of Accountancy

China launched the registration-based IPO system in 2019 whereby all firms listed on the newly established STAR board (“peer firms”) are required to disclose specific innovation and industry-related information in their prospectus. Using this event as a quasi-experiment, our study investigates the causal effects of peer firms’ disclosures on individual firms’ disclosure strategy. We find that individual firms’ management earnings forecast (MEF) precision, both its form and width, significantly decreases when peer firms disclose more information during the IPO period. In cross-sectional analyses, we find this effect to be more pronounced for individual firms that are likely to experience greater …

Algorithm Envelopment In Platform Markets, Liang Chen, Zhou Zhou, Lester Chan

Research Collection Lee Kong Chian School Of Business

The theory of platform envelopment rests on network effects as the key mechanism for value creation, which nonetheless receives mixed support for its efficacy in determining competitive outcomes. We argue that the value of network effects depends on matching quality, which is a function of platform-specific algorithm technology and market-level data-driven learning. In formalizing these conceptualizations, we analyze a model that demonstrates how an entrant with a superior algorithm technology may outcompete an incumbent possessing a user base advantage, a strategy we call “algorithm envelopment.” By considering specific characteristics of data-driven learning, our analysis leads to propositions regarding the entry …

The Effects Of Financing Green And Brown Sectors: What Do Theories And Evidence Say?, Hao Liang, Maria Teresa Punzi

Research Collection Lee Kong Chian School Of Business

This paper critically examines the economic and welfare implications of financing green and brown sectors. Drawing on a comprehensive review of recent theoretical and empirical literature, we highlight that while conventional green finance—allocating capital toward environmentally friendly (“green”) sectors and away from carbon-intensive (“brown”) sectors—can promote decarbonization, it may also produce unintended externalities. In particular, it can inadvertently incentivize higher emissions from brown firms and contribute to economic disruption. Using a dynamic stochastic general equilibrium (DSGE) model, we demonstrate that lowering the cost of capital for green sectors leads to only modest reductions in emissions, whereas raising it for brown …

Policy Uncertainty Reduces Green Innovation, Mengyu Wang, Jeffrey Wurgler, Hong Zhang

Research Collection Lee Kong Chian School Of Business

Policy uncertainty can undermine the power of government subsidies to stimulate environmentally friendly research and development. We show that Chinese firms’ green R&D falls as the uncertainty of environmental subsidies rises: Exogenous, weather-driven air pollution variability induces subsidies to fluctuate, and firms in areas with high weather-driven subsidy variability undertake less green R&D and hire fewer technical employees, controlling for the average level of subsidies. Heavy emitters and environmental technology firms are more affected. The results also illustrate how policy uncertainty can arise when policymakers are influenced by conditions that are salient but with causes that are difficult to disentangle.

Fluid Agency In Ai Systems: A Case For Functional Equivalence In Copyright, Patent, And Tort, Anirban Mukherjee, Hannah H. Chang

Research Collection Lee Kong Chian School Of Business

Modern Artificial Intelligence (AI) systems exhibit fluid agency in multi-step workflows: lacking human-like consciousness or culpability, yet they display behavior that is (i) stochastic (probabilistic and path‑dependent), (ii) dynamic (co‑evolving with user interaction), and (iii) adaptive (able to reorient across contexts). These properties generate valuable outputs but collapse attribution, irreducibly entangling human and machine inputs. Doctrines that assume traceable provenance—authorship, inventorship, and liability—fracture under this unmappability, yielding ownership gaps and moral “crumple zones.”This Article argues that only functional equivalence stabilizes doctrine under unmappability: Where provenance is indeterminate, legal frameworks should treat human and AI contributions as equivalent for allocating rights …

Large Owner Expropriation Threat And Stock Option Pay's Effect On Firm Risk-­Taking Behaviors In Weak Institutions, Cuili Qian, Lipeng (Gary) Ge, Xuesong Geng, Jiatao Li, Maria Hasenhuttl

Research Collection Lee Kong Chian School Of Business

Research Question/Issue: This study investigates the impact of managerial stock option pay on firm risk-­ taking behaviors in aweak institutional context, a critical question that has been overlooked by the literature. Specifically, we build on the comparative corporate governance perspective that emphasizes the implications of large shareholders' expropriation threat in weak institutions to develop predictions about their impact on the stock option's incentive alignment effect. We further explore the boundary conditions of such a relationship.Research Findings/Insights: Based on a sample of Chinese listed firms between 2006 and 2016, we find that a high level of large shareholders' expropriation threat weakens …

The Charity Capacity Curse, Shirley (Lijun) Zhang, Thomas Allard, David Hardisty, Shane Wang

Research Collection Lee Kong Chian School Of Business

Can displays of charity capacity cues paradoxically harm charities' fundraising efforts? Six pre-registered studies provide evidence of a charity capacity curse whereby donors penalize charities for displaying capacity cues, such as human resources capacity, organizational capacity, and financial capacity cues. This curse occurs because donors perceive higher-capacity charities as needing less help. As donors typically donate based on need, they donate less to charities with superior capacity signals. This effect is attenuated when: (1) higher-capacity charities' needs are made salient, and (2) donors reflect on how their decision impacts end-beneficiaries. This research contributes to the literature on effective altruism and …

An Exploration Of Knowledge-Sharing Behaviour Within A Community-Based Service Provider: A Reflexive Thematic Analysis, Paul Mcmanus

Doctoral

This qualitative research examines the knowledge-sharing (KS) behaviour of employees within a non-profit organisation (NPO) based in Dublin, Ireland. This NPO is a community-based service provider that supports people with disabilities and their families. It operates under the aegis of the Health Service Executive (HSE). The ability of employees to share knowledge is fundamental to the sustained care of society’s most vulnerable. Research on employees’ KS behaviour remains underrepresented within the non-profit sector. This gap in knowledge aligns with the NPO’s view that its KS environment requires improvement. In response to the literature review, a developed taxonomy conceptualises the organisation …

Project Management For Blockchain: Strategic Guidance And Lessons From Practice., Cherie Noteboom, Aravindh Sekar, Deb Tech

Research & Publications

Blockchain technology (BCT) offers powerful solutions to long-standing enterprise challenges such as inefficiencies, lack of transparency, and low stakeholder trust. By enabling secure transaction tracking and real-time data sharing, BCT can improve operational accuracy, streamline workflows, and build confidence across organizational ecosystems. However, the implementation of BCT significantly transforms conventional project management strategies and practices. We propose practical recommendations for each stage of the process group of the project life cycle- Initiating, Planning, Executing, Monitoring & Controlling, and Closing to meet the demands of decentralization, interoperability, and continuous ecosystem coordination inherent in the implementation of BCT projects. Grounded in practitioner …

Agentic Ai As A System Within Systems: A Process Model Of Organizational Embedding., Aravindh Sekar, Deb Tech

Research & Publications

The emergence of Agentic AI systems is reshaping organizational processes through continuous adaptation, autonomous coordination, and real-time operational execution. Unlike traditional artificial intelligence applications focused on discrete decision-making tasks, Agentic AI systems operate continuously and interact dynamically with organizational environments. Existing AI ethics literature has primarily emphasized issues such as fairness, bias, transparency, and accountability within static or decision-centric AI contexts. Similarly, traditional AI alignment research has largely focused on ensuring that AI systems pursue intended goals and remain controllable under specified operational conditions. However, these approaches may be insufficient for explaining how ethical risks evolve with continuously operating autonomous …

Beyond The Brotherhood: Exploring Communal Leadership In Masculinity Contest Cultures, Scott A. Metzler

Antioch University Dissertations & Theses

This phenomenological study explores the lived experiences of formal and informal leaders who exercise communal leadership, characterized by collaboration, inclusion, and relational focus, within the masculinity contest cultures of law enforcement and the fire service, where strength, competition, and hierarchical leadership often rule the day. Through in-depth qualitative interviews with 19 participants across the United States, this research investigates how and why leaders choose to challenge organizational norms, how they perceive the effects of their decisions on themselves and others, and how they navigate the tensions and contradictions between communal leadership and hypermasculine cultural expectations. The findings reveal that leaders …

Feeling Seen By Being Heard: A Constructivist Critical Incident Study Of The Listening Experiences Of Ciswomen Of Color For The Development Of An Inclusive Listening Praxis For Leaders, Christina Zhong-Wen Chang

Antioch University Dissertations & Theses

This study examines how listening shapes inclusive workplaces by exploring the listening experiences of 23 professional cisgender women of color working in predominantly white institutional spaces. Although listening is a fundamental part of communication, it is frequently undervalued and overlooked in leadership literature. Using the constructivist critical incident technique (CCIT) methodology, the research analyzed 88 significant moments when participants felt distinctly heard or unheard by leaders. Findings reveal that listening operated as a relational practice signaling respect, affirmation of voice, and anchoring leadership in accountability, while enabling leaders to engage perspectives beyond their own. Four listening types emerged: Listening Withheld, …

Navigating Financial Futures: A Case Study Of A Targeted Financial Literacy Program For African American College Students, Michael L. James

Antioch University Dissertations & Theses

This dissertation presents a qualitative analysis of a targeted financial literacy program designed for African American college students. The dissertation examined how African American college students describe and make meaning of their participation in a targeted financial literacy program, particularly in relation to the program’s structure, content, and delivery. Despite growing interest in financial literacy education, interventions that acknowledge the persistent wealth gap and systemic financial inequities faced by African Americans remain underexplored. Employing a case study research method within a program understanding framework, this study investigated a program at Historically Black Colleges and Universities (HBCUs). Findings reveal that the …

She Leads: A Phenomenological Study Of Women's Leadership Experiences In Nonprofit Organizations, Trisha W. Lee

Antioch University Dissertations & Theses

Women comprise a significant portion of the nonprofit sector workforce but are underrepresented in leadership, particularly among executives in larger revenue nonprofit organizations (NPOs). This phenomenological study explored the lived experiences of women who led large, local NPOs (those with annual revenues between $1 million and $5 million) in Ohio. Addressing a gap in understanding the intersection of gender and leadership in large revenue NPOs, this research compared women who were founders of their NPOs with women who ascended to leadership in established organizations. Did founding one’s own NPO provide an advantage in leading it once it grew? How did …

From Margin To Mandate: Examining Community Development Strategies That Support Black Lgbtq+ Youth Experiencing Homelessness, Martel Okonji

Antioch University Dissertations & Theses

Black LGBTQ+ transitional-aged youth (TAY) experiencing homelessness navigate intersecting systems of marginalization that shape their access to safety and stability. While community development organizations play a critical role in addressing these inequities, limited research examines how these strategies are implemented. This study explored how a community development organization supports Black LGBTQ+ TAY experiencing homelessness. Using a qualitative single case study design, data was collected through semi-structured interviews with leadership, staff, and youth, and analyzed using thematic analysis. Grounded in community development theory and ethical leadership, the study examined how organizational practices shape outcomes. Findings revealed an affirming, relational approach centered …

Good News For The Poor And More: Reclaiming Martin Luther King, Jr.'S Radical Gospel Of Economic Justice In Pursuit Of The Beloved Community, Lester A. Mccorn

Antioch University Dissertations & Theses

This dissertation, Good News for the Poor and More: Reclaiming Martin Luther King Jr.’s Radical Gospel of Economic Justice in Pursuit of the Beloved Community, argues that Martin Luther King Jr.—one of the most transformational American leaders of the 20th century—should be best understood as a central figure within the Black Social Gospel tradition whose rhetoric constitutes a sustained socio-political and theological critique of economic injustice. Moving beyond interpretations that limit King to racial integration and civil rights, this study demonstrates that his preaching confronts the structural realities of poverty, racial capitalism, and militarism as interrelated forms of systemic …

Crypto Litigation And Market Efficiency, Robert E. Bishop, Bradford Levy, Frank Partnoy, Daniel Taylor, Andrew Yeh

Faculty Scholarship

This paper investigates, for the first time in the literature, the factors that should matter to courts in determining whether a crypto  market is “efficient,” meaning that prices are sufficiently responsive to information. Based on new empirical evidence and a series of event studies, we recommend a new judicial framework for assessing market  efficiency in crypto litigation.

Market efficiency tests based on event studies have played an important role in other areas of litigation, particularly securities litigation, where courts frequently rely on what have become known as the “Cammer factors.” Academics have not yet assessed the extent to which market …

Lost In Instructions: Study Of Blind Users' Experiences With Diy Manuals And Ai-Rewritten Instructions For Assembly, Operation, And Troubleshooting Of Tangible Products, Monalika Padma Reddy, Aruna Balasubramanian, Jiawei Zhou, Xiaojun Bi, Iv Ramakrishnan, Vikas Ashok

Computer Science Faculty Publications

AI tools like ChatGPT and Be-My-AI are increasingly being used by blind individuals. Although prior work has explored their use in some Do-It-Yourself (DIY) tasks by blind individuals, little is known about how they use these tools and the available product-manual resources to assemble, operate, and troubleshoot physical/tangible products – tasks requiring spatial reasoning, structural understanding, and precise execution. We address this knowledge gap via an interview study and a usability study with blind participants, investigating how they leverage AI tools and product manuals for DIY tasks with physical products. Findings show that manuals are essential resources, but product-manual instructions …

A Comparative Analysis Of Explainable Ai (Xai) Techniques For Transparent And Reliable Image Classification, Sovon Chakraborty, Shakib Mahmud Dipto, Kevin R. Pilkiewicz, Michael L. Mayo, Pratip Rana

Computer Science Faculty Publications

Evaluating the trustworthiness of black-box machine learning models remains a significant methodological challenge. Their lack of transparency and interpretability limits applicability, because stakeholders often seek transparency before trusting the results of black-box machine learning models. Explainable AI (XAI) methods provide for human-understandable justifications and informed decision-making of these black-box architectures. Therefore, it is imperative to select the proper XAI model tailored to specific tasks. In this research, we focus on examining four XAI techniques: PEEK, LRP, GRAD-CAM, and LIME to understand how they perform against each other for image classification tasks. We evaluate the performance, robustness, generalizability, noise stability, and …