Digital Commons Network^™

Improving The Production And Reviewing Of Design Science Research In Accounting, Noah Myers, Mason Snow, Nathan Waddoups, David A. Wood

Faculty Publications

Design Science Research (DSR) is a rigorous research methodology widely used in other fields like computer science and engineering, but its application in accounting is still relatively limited. This paper reviews the implementation of DSR published in accounting journals and provides recommendations to improve the authoring and reviewing processes. We review 51 DSR articles published in accounting journals between 2011 and 2023. The analysis identified areas where papers excelled and fell short, leading to recommendations in the following key aspects: adherence to a research framework, validation of research questions, defining objectives of artifacts, developing a more diverse set of artifacts, …

Short And Synthetically Distort: Investor Reactions To Deepfake Financial News, Scott Emett, Marc Eulerich, Jeffrey Pickerd, David A. Wood

Faculty Publications

Recent advances in artificial intelligence have led to new forms of misinformation, including highly realistic “deepfake” synthetic media. We conduct three experiments to investigate how and why retail investors react to deepfake financial news. Results from the first two experiments provide evidence that investors use a “realism heuristic,” responding more intensely to audio and video deepfakes as their perceptual realism increases. In the third experiment, we introduce an intervention to prompt analytical thinking, varying whether participants make analytical judgments about credibility or intuitive investment judgments. When making intuitive investment judgments, investors are strongly influenced by both more and less realistic …

Reassessing Assurance In An Automated World: Insights From Board Members, Executives, And Internal Auditors, Scott Emett, Marc Eulerich, Jeffrey Pickerd, David A. Wood

Faculty Publications

Technological advances that automate work continue to transform the accounting profession. We examine whether automation impacts resource allocation within the internal audit function (IAF), a unique setting that allows us to compare demand for assurance activities with demand for consulting activities. We conduct an experiment in which experienced board members, executives, and internal auditors make budget recommendations for a company’s IAF that developed automations that improved the efficiency of the IAF. Results show that across all groups, participants respond to these efficiencies by decreasing the IAF’s total budget but retaining the productive capacity of the IAF. The budget cuts are …

The Intellectual Structure Of Audit Committee Research: A Bibliometric Analysis (1969 – 2020), Joel Behrend, Marc Eulerich, David A. Wood

Faculty Publications

The audit committee is a widely recognized mechanism of effective corporate governance. We advance prior literature reviews by using bibliometric analysis techniques that comprehensively process large bodies of bibliometric information. We base inferences on citation patterns of 1,173 articles to identify concepts that “shine through” within the scientific understanding of audit committees. Using content analysis, we then analyze these concepts and explore existing interrelationships. We document a declining influence of audit committee research, as well as a widening gap between the quantitative and qualitative research camps. While the former is mostly derivative in nature, the latter produces innovative insights on …

Triangulating The Likelihood Of Confusion: Linguistics And Consumer Surveys, Eric D. Derosia, Jesse Egbert, Thomas Lee

Faculty Publications

This Article highlights contributions that linguistic analysis can offer in the assessment of the likelihood of confusion in trademark infringement cases. Parties in such cases often engage an expert witness to conduct a survey that measures the likelihood of consumer confusion. We show how an expert linguist can provide important, nonintuitive dynamics of corroboration. We introduce “expert triangulation” as a conceptual framework to analyze whether, and to what extent, experts in linguistics and consumer surveys can corroborate one another. That is, having two different sources of empirical evidence which lead to similar conclusions should be a benefit to the courts, …

Ifn-𝜸 And Il-10 Immunosensor With Vertically Aligned Carbon Nanotube Interdigitated Electrodes Toward Pen-Side Cattle Paratuberculosis Monitoring, Shaowei Ding, Benjamin J. Brownlee, Kshama Parate, Cicero C. Pola, Bolin Chen, Jesse M. Hostetter, Douglas Jones, John Jackman, Brian D. Iverson, Jonathan C. Claussen

Faculty Publications

Highly sensitive vertically aligned carbon nanotube arrays (VANTAs) interdigitated electrode (IDE) arrays are developed for electrochemical biosensing of two cytokines (i.e., interleukin-10 (IL-10) and interferon-gamma (IFN-𝜸)) that are useful for early detection Johne’s disease (Bovine Paratuberculosis) in cattle. The high aspect ratio VANTA-IDEs (50–60 μm in height) are grown through a chemical vapor deposition process from an iron (Fe) catalyst that is lithographically patterned on a silicon wafer with equal finger width and inter-finger spacing of 25 μm. After functionalization with distinct antibodies the VANTA-IDEs are capable of selective detection of both IL-10 and IFN-𝜸 within an actual biological matrix …

Drop Retention And Departure In Adiabatic Shear Flow On Structured Superhydrophobic Surfaces, Blake M. Lyons, Daniel Maynes, Julie Crockett, Brian D. Iverson

Faculty Publications

Drops are retained or held on surfaces due to a retention force exerted on the drop by the surface. This retention force is a function of the surface tension of the liquid, drop geometry, and the contact angle between the drop and the surface. When external or body forces exceed the retention force, the drop begins to move. This work explores the conditions for which drop departure occurs on structured superhydrophobic surfaces in the presence of an applied shear flow. Drop departure is explored for five microstructured superhydrophobic surfaces, one nanostructured carbon nanotube surface and one smooth hydrophobic surface. Surface …

In Memoriam: Fred R. Gowans (1936-2023), Rocky Mountain Fur Trade Historian, Jay H. Buckley

Faculty Publications

Fred R. Gowans is the proverbial American original – or, better yet, Western American original. Fred talked and wrote convincingly about the American West and the fur trade because he spent so much time in it, exploring or retracing old trails. Fred made no pretenses. He dressed for class, public talks, or academic presentations the same way he dressed for working with his horses: Western hat, Western shirt, Levis, cowboy boots, and on the rare occasion a sport coat and bolo tie. He lived with his wife Gloria in a log home that he and his father Floyd had built …

Media Conglomeration, Local News, And Capital Market Consequences, Travis Dyer, Mark Lang, Jun Oh

Faculty Publications

We examine the effect of news media consolidation on local business coverage and its consequences for firms, investors, and capital markets. Using television transcripts, we find a substantial drop in coverage of local firms following the consolidation of local television stations associated with Sinclair acquisitions. Local information search, institutional portfolio local bias, and overall retail trading decrease for firms in treated geographic areas. Results are most pronounced for small firms, for stations with higher ex ante viewership, and for stations with greater reductions in local coverage. Our results provide insight into the consequences of media consolidation for local business coverage, …

Traditional Investment Research And Social Networks: Evidence From Facebook Connections, Travis Dyer, Gerrit Köchling, Peter Limbach

Faculty Publications

We show that investors acquire more public information about firms to which they are more socially proximate. On average, a standard deviation increase in the Social Connectedness Index (Bailey et al., 2018) between a firm’s headquarter county and a searcher county is associated with 30% more EDGAR filing downloads from the searcher county. The effect of social proximity on traditional investment research is distinct from the effect of geographic proximity. We find similar results studying headquarter relocations, investor-level data, and EDGAR downloads from European regions, for which physical distance should be irrelevant. Social proximity matters more during times of high …

How Trial Preparation Factors Influence Audit Litigation Outcomes: Insights From Audit Litigators, Eldar Maksymov

Faculty Publications

Research indicates that auditors have an impoverished understanding of trial preparation factors that, independent of audit quality, can significantly elevate audit litigation risk. As the scholarly literature sheds little insight about the nature and implications of these factors, we identify what factors audit litigators consider in trial preparation, how they expect these factors to affect litigation outcomes, and how they attempt to lever these factors. To do so, we interview 39 audit litigators, who identify factors germane to trial venues, jury pools, and case arguments. Guided by the Elaboration Likelihood Model, we construct a framework that predicts these factors influence …

The General Anti-Avoidance Rule, Mary Cowx, Jon Kerr

Faculty Publications

The general anti-avoidance rule, or GAAR, is an enforcement mechanism that gives a country’s taxing authority broad power to deny a taxpayer tax benefits associated with any transaction. Although GAARs are becoming increasingly common, the presence of a GAAR is generally overlooked by researchers and thus has been left unstudied. In this paper, we provide an initial investigation by studying the effect of GAARs on firm-level corporate tax avoidance behaviors. Using an indicator for the enactment or strengthening of a GAAR within a country in a stacked difference-in-differences design, we find GAAR enactment is associated with a statistically and economically …

Do Audit Partners Exhibit Hometown Bias?, Yuzhou Chen, Timothy Seidel, Aleksandra "Ally" B. Zimmerman

Faculty Publications

We investigate whether audit partners exhibit greater leniency towards audit clients located in their childhood or pre-professional home state. While prior research has examined the audit quality effects of geographic distance between an auditor and client as well as auditors’ social ties to company management or directors, this study uniquely examines auditors’ psychological affinity to places rather than people. Using hand-collected data on audit partners, company managers, and directors, we find evidence of partners exhibiting hometown bias in the form of greater leniency towards clients’ opportunistic reporting. However, we find no evidence to suggest that these psychological biases affect audit …

Strategic Alignment, Performance, And The Moderating Effect Of Regulatory Fit, Hayden T. Gunnell, Steven D. Smith, Travis W. Steadman

Faculty Publications

We examine how the alignment of performance measurement and strategy affects performance on a multidimensional task. Our experiment varies both the strategy (speed versus accuracy) of the hypothetical firm for which participants work and the individual performance measure that is reported to them, creating two conditions of clear alignment and two of clear misalignment. We find that while workers are responsive to the performance measure regardless of its alignment, they are also sensitive to the strategy such that costly alignment effects are observed. We also predict and find that workers respond asymmetrically to misalignment in accuracy performance but not in …

Anomaly Time, Boone Bowles, Adam V. Reed, Matthew C. Ringgenberg, Jacob Thornock

Faculty Publications

We examine the timing of returns around the publication of anomaly trading signals. Using a database that captures when information is first publicly released, we show that anomaly returns are concentrated in the first month after information release dates, and these returns decay soon thereafter. We also show that the academic convention of forming portfolios in June underestimates predictability because it uses stale information, which makes some anomalies appear insignificant. In contrast, we show many anomalies do predict returns if portfolios are formed immediately after information releases. Finally, we develop guidance on forming portfolios without using stale information.

Explaining Corporate Tax Avoidance, Andrew Belnap, Kaitlyn Kroeger, Jacob Thornock

Faculty Publications

The tax avoidance literature identifies dozens of variables that are related to corporate tax avoidance, but it lacks a framework for understanding the relative importance of these variables and the theories that drive these relations. We distill thirty years of tax avoidance research into key theories, and then use novel empirical techniques to quantify the relative and total importance of proposed explanations. We find that factors tied to investment opportunities contribute more to explained variation than other proposed theories. On the other hand, agency costs and financial reporting concerns explain very little variation in tax avoidance proxies, while operating metrics …

Tax Sentiment And Compliance: Evidence From Social Media, Andrew Belnap, Jacob Thornock, Kevin Standridge, Braden Williams

Faculty Publications

Motivations for voluntary tax compliance that fall outside of a standard, rational model can be intrinsic or extrinsic. We use social media rhetoric about taxes to create a measure of tax sentiment that reflects taxpayers’ extrinsic, behavioral motivations for voluntary compliance, and then examine the association between public tax sentiment and tax compliance. Our machinelearning based approach for measuring sentiment uses millions of tax-related tweets, which vary by time and geography. We find that tax sentiment is negatively associated with tax compliance. Our main findings and cross-sectional tests are consistent with the notion that paying one’s taxes is a way …

The Effect Of Economic Nexus On Sales Tax Avoidance And Retail Purchases, Zackery D. Fox, John R. Robinson, Stephen A. Stewart

Faculty Publications

We investigate the impact of adopting economic nexus laws on local consumer consumption patterns. To do so, we focus on a natural experiment involving Washington State, which enacted economic nexus in October of 2018, and its neighboring state Oregon, which has no sales tax. Utilizing data from the Nielsen Consumer Panel survey, we estimate a difference-in-differences regression to test whether the imposition of sales tax on internet purchases in Washington led to an increase in brick and mortar (B&M) retail purchases relative to those in Oregon. We report evidence that consumers in Washington increased purchases at B&M retailers relative to …

Parent Motivations For Enrolling Their Young Children In Early Childhood Programs: An Application Of The Theory Of Planned Behaviour, Rachel A. Mcgovern, Camilla Hodge, Edward Ruddell

Faculty Publications

This study used the theory of planned behaviour to identify and determine the relative influence of factors influencing parents’ decisions to enrol their young children (3 to 5 years old) in early childhood programs at a specific museum venue. An eliciting questionnaire was distributed to museum members with at least one child 3–5 years old to elicit outcome expectancies, normative beliefs, and control beliefs, and these responses were developed into items for the main questionnaire. Regression and correlation analyses were conducted to determine factors associated with parents’ intention to enrol their children. Parents across socioeconomic and educational backgrounds indicated they …

Transformative Learning Outcomes: Shifting The Learning Outcome Conversation From Assessment To Design, Mat D. Duerden, Jamin C. Rowan

Faculty Publications

What if the focus of learning outcomes shifted from telling students what they will know at the end of a course to who they will become? Learning outcomes have drifted away from informing curriculum design to providing parameters for external assessment. This article reviews this shift along with a proposal to reimagine learning outcomes as transformative learning outcomes. It discusses previous work on transformative learning outcomes and proposes a new conceptual definition: learning outcomes that articulate habits of mind or ways of being that students will develop because of a learning experience or sequence of learning experiences. Such learning outcomes …

A Labeled Magnitude Scale For Measuring The Anticipated Impact Of Immediate Experiences, Gary D. Ellis, Patti A. Freeman, Brian J. Hill, Jingxian Jiang, Kaylee Janes

Faculty Publications

Lundberg et al. (2022) recently developed a rubric for classifying experience impacts as ordinary, meaningful, memorable, or transformative. This article extends that contribution by developing a measure of anticipated impacts suitable for evaluating the anticipated impacts of immediate, structured experiences, such as heritage interpretation experiences, museum visits, and events. We developed a labeled magnitude scale (LMS) by calibrating six adverbial modifiers of impact intensity (negligible, slight, significant, profound, substantial, transformative) to judges’ ratings of ratio-scaled distances. We examined criterion-related evidence of validity using 2,867 experience observations from 594 university students who visited venues selected to advance their emotional connection to …

The Efects Of Cryptocurrency Wealth On Household Consumption And Investment, Darren Aiello, Scott R. Baker, Tetyana Balyuk, Marco Di Maggio, Mark Johnson, Jason Kotter

Faculty Publications

We use bank transaction data from millions of U.S. households to:

1. Characterize retail crypto investing
2. Examine the efect of crypto wealth on consumption and investment behavior
3. Zoom in on the efect of crypto wealth on housing spending
4. Document spillovers of crypto wealth to the local economy

Moral Decision-Making In Organizations, Maryam Kouchaki, Isaac Smith

Faculty Publications

Research on moral decision-making in organizations has expanded significantly over the past few decades. In this review, we build on prior comprehensive reviews on the topic to provide an updated view of the field, based on the latest findings. We first provide a brief historical overview of influential theories of moral decision-making and then describe the individual characteristics, interpersonal factors, and organizational factors that have been shown to influence people's morally relevant choices, as well as the cognitive, affective, and even physiological processes at play. We then provide a more critical view of the field and focus on what we …

The Reno Court Of Inquiry, Albert Winkler

Faculty Publications

Following the Battle of the Little Big Horn, there had been many accusations of poor conduct, neglect of duty, or outright cowardice leveled chiefly at both Major Marcus Reno and Captain Frederick Benteen for their actions or inactions at the engagement, which could have led to the destruction of Custer's command. Most significantly, Frederick Whittaker's attack on Reno and Benteen in his A Complete Life of Gen. George Armstrong Custer published in December 1876 was simply scathing.

Risk Perception, Cooperation, And Emotional Distress During The Covid-19 Pandemic: Exploring Adaptive Risk Perception, Haiping Liao, Rebecca L. Monk, James Gaskin, Jin-Liang Wang

Faculty Publications

During the COVID-19 pandemic, while risk perception may promote public cooperation with pandemic prevention, it may also increase emotional distress and thus endanger mental health. This study aimed to examine whether there is an adaptive risk perception pattern that fits both needs of pandemic control and mental health protection. Two waves of Chinese participants (N sample 1 = 1633, N sample 2 = 1899) completed the Scale of Pandemic Risk Perception, the Scale of Public Cooperation with Pandemic Prevention, the Epidemic Worry Scale, and the Positive and Negative Affective Schedule during Feb 3rd to 5th, and during Feb 18th to …

Understanding Product Interest Through Mouse-Cursor Tracking Analysis, Christopher Coors, Jeffrey Jenkins, Joseph S. Valacich, Markus Weinmann

Faculty Publications

With third-party cookies being banned, alternative methods to assess users’ interests online are necessary. We propose that analyzing mouse cursor movements can help address this need. Based on the response activation model, we hypothesize that interest in a product will decrease the user’s movement speed and increase the number of submovements. We conducted an online study that monitored users’ mouse movements while they were presented with several products and navigated to a button to indicate purchase intention (yes/no). Following this, participants ranked their interest in each product. Contrary to our prediction, we found that product interest increased speed and decreased …

Detecting Social Desirability Bias With Human-Computer Interaction: A Mouse-Tracking Study, Paul A. Weisgarber, Joseph S. Valacich, Jeffrey L. Jenkins, David Kim, Manasvi Kumar

Faculty Publications

Social desirability bias undermines self-report accuracy, necessitating novel approaches to detect and mitigate its impact. This study aimed to investigate the influence of social desirability on questionnaire responses by analyzing mouse cursor movements and answering behaviors. Respondents (n=238) completed a health and wellness questionnaire while their mouse cursor data was recorded. The results revealed that individuals under a higher social desirability treatment exhibited significantly longer response times and slower mouse cursor speeds, supporting the hypothesis that they may engage in more cautious and deliberate responding. However, no significant differences were found in terms of mouse cursor deviations or answer switches …

Methodology For Designing And Improving Novel Kirigami Patterns Using The Hamiltonian Circuit Framework, Larry L. Howell, Nathan Coleman, Mckaelin Edralin, Specer P. Magleby, Denise Halverson, Zhong You

Faculty Publications

The ability to compactly fold arrays to be deployed in space has seen an increasing demand in the aerospace industry. In this work, we build on existing methods to create kirigami patterns which can stow compactly and deploy out to a predictable shape using Hamiltonian circuits. We detail how designers can use this method to create novel kirigami patterns for a desired deployed shape and area. We also discuss techniques for modifying and improving the behavior and performance of kirigami patterns created using this method, and then show example applications including as a deployable radio frequency antenna of this method …

The Surrogate Fold Catalog: A Design Tool For Origami-Inspired Mechanical Systems, Larry L. Howell, Ivy Running, Phebe Ramsdell, Carolina Wright, Spencer P. Magleby

Faculty Publications

Origami has inspired work in many fields of science and engineering. However, it can be difficult to transfer the motion of an origami design from folded paper to thicker, stiffer materials. When using engineering materials, creases from an origami fold pattern are usually replaced with “surrogate folds”. While many different surrogate folds have been developed, it is challenging for a designer to quickly survey and compare potential surrogate folds. Surrogate folds can improve many origami-inspired designs and applications by changing how the designs are manufactured and how they behave. This work categorizes compliant mechanisms that may be effective as surrogate …

Characterization Of Magnetically Stabilized Hinges For Origami-Inspired Mechanisms, Larry L. Howell, H T. Pruett, Philip Klocke, Spencer Magleby

Faculty Publications

Origami-inspired mechanisms provide opportunities for deployable systems, including reflectarray antennas. There is a need for approaches to deploy and stabilize such arrays. Magnetic mechanisms show promise for meeting those needs and methods for modeling their behavior would facilitate their design and analysis. We demonstrate the existence of bistability in select configurations of magnetically stabilized hinges and characterize their equilibrium positions as a function of parameters estimated from simulation data for these mechanisms. Other relevant information such as potential energy, axial force data, angular position of unstable equilibria, and transition values from bistability to monostability are also modeled. The results are …