Dr. David Mauer is the Torrence E. Hemby, Sr. Distinguished Professor in the Department of Finance in the Belk College of Business. He has a B.B.A. from the University of Iowa and a Ph.D. from Purdue University.
Publication: Human capital relatedness and mergers and acquisitions, Kyeong Hun Lee, David C. Mauer and Emma Qianying Xu
Published in: Journal of Financial Economics, Volume 129, Issue 1, July 2018, Pages 111-135
Abstract: The authors construct a measure of the pairwise relatedness of firms’ human capital to examine whether human capital relatedness is a key factor in mergers and acquisitions. The authors find that mergers are more likely and merger returns and postmerger performance are higher when firms have related human capital. These relations are stronger or only present in acquisitions where the merging firms do not operate in the same industries or product markets. Reductions in employment and wages following mergers with high human capital relatedness suggest that the merged firm has greater ability to layoff low quality and/or duplicate employees and reduce labor costs. The authors further show in a falsification test that human capital relatedness has no effect on acquiring firm returns in asset sales when little or no labor is transferred, which helps validate our measure of human capital relatedness.
Dr. David Woehr is the Belk Distinguished Professor in Business Administration and the Chair of the Department of Management in the Belk College of Business. He received his Ph.D. from Georgia Institute of Technology. His research interests are in the areas of performance measurement, managerial assessment, and applied psychometrics.
Publication: Social Class in the Organizational Sciences: A Conceptual Integration and Meta-Analytic Review, Andrew C. Loignon and David J. Woehr
Published in: Journal of Management, Volume 44, Issue 1, January 2018, pp. 61–88
Abstract: Social class has become increasingly popular in the organizational sciences. Despite the burgeoning interest in this topic, there remains a great deal of ambiguity concerning the conceptualization and operationalization of social class. For instance, scholars have used income, education, and subjective ratings to measures one’s social class. In order to improve the conceptual clarity of social class, we develop and present a model that draws on the dominant theories of social class from both sociology and psychology while organizing their key principles to explain how social class influences an individual’s thoughts, feelings, and behaviors. By using this model as a framework, this study attempts to refine the conceptualization of social class by testing core research questions pertaining to the construct validity of this construct. After a comprehensive, interdisciplinary literature search, which yielded over 4,000 effect sizes, we conducted a meta-analysis to test the proposed model. The findings offer clear support for two distinct components of social class (i.e., objective and subjective) that are both highly related to one another and associated with other microlevel constructs (i.e., job attitudes). Given the timeliness and importance of social class, the findings of this conceptual review and empirical meta-analysis offer a means of summarizing this large, interdisciplinary literature while guiding future management research on this critical topic.
Dr. Sangkil Moon is the Chair of the Department of Marketing and the Cullen Endowed Professor of Marketing in the Belk College of Business. He received his Ph.D. in Marketing from the University of Iowa. His research interests include marketing/consumer analytics, text analytics, social media and innovation.
Publication: A picture is worth a thousand words: Translating product reviews into a product positioning map, Sangkil Moon and Wagner A. Kamakura
Published in: International Journal of Research in Marketing, 2017, Vol.34 (1), p.265-285
Abstract: Product reviews are becoming ubiquitous on the Web, representing a rich source of consumer information on a wide range of product categories (e.g., wines and hotels). Importantly, a product review reflects not only the perception and preference for a product, but also the acuity, bias, and writing style of the reviewer. This reviewer aspect has been overlooked in past studies that have drawn inferences about brands from online product reviews. Our framework combines ontology learning-based text mining and psychometric techniques to translate online product reviews into a product positioning map, while accounting for the idiosyncratic responses and writing styles of individual reviewers or a manageable number of reviewer groups (i.e., meta-reviewers). Our empirical illustrations using wine and hotel reviews demonstrate that a product review reveals information about the reviewer (for the wine example with a small number of expert reviewers) or the meta-reviewer (for the hotel example with an enormous number of reviewers reduced to a manageable number of meta-reviewers), as well as about the product under review. From a managerial perspective, product managers can use our framework focusing on meta-reviewers (e.g., traveler types and hotel reservation websites in our hotel example) as a way to obtain insights into their consumer segmentation strategy.
Dr. Sunjune Park is a professor in the Department of Business Information Systems & Operations Management (BISOM). His research interests include include business analytics, information security, digital economy, and supply chain management. He received his Ph.D. in Management Systems at the State University of New York at Buffalo.
Dr. Cem Saydam is a professor in the Department of Business Information Systems & Operations Management (BISOM). He has conducted research in ambulance location and redeployment strategies, applied linear and integer programming, and optimization techniques. He received his Ph.D. from Clemson University.
Department: Business Information Systems & Operations Management (BISOM)
Publication: Software Diversity for Improved Network Security: Optimal Distribution of Software-Based Shared Vulnerabilities, Orcun Temizkan, Sungjune Park, & Cem Saydam
Published in: Information Systems Research (December 2017)
Abstract: Firms, and other agencies, tend to adopt widely used software to gain economic benefits of scale, which can lead to a software monoculture. This can, in turn, involve the risk of correlated computer systems failure as all systems on the network are exposed to the same software-based vulnerabilities. Software diversity has been introduced as a strategy for disrupting such a monoculture and ultimately decreasing the risk of correlated failure. Nevertheless, common vulnerabilities can be shared by different software products. We thus expand software diversity research here and consider shared vulnerabilities between different software alternatives. We develop a combinatorial optimization model of software diversity on a network in an effort to identify the optimal software distribution that best improves network security. We also develop a simulation model of virus propagation based on the susceptible-infected-susceptible model. This model allows calculation of the epidemic threshold, a measure of network resilience to virus propagation. We then test the effectiveness of the proposed software diversity strategies against the spreading of viruses through a series of experiments.
Dr. Gregory Martin is an assistant professor in the Turner School of Accountancy in the Belk College of Business at UNC Charlotte. His current research interests include financial reporting quality, audit quality and the implications of financial restatements. He graduated from the United States Air Force Academy in 1998 and served on active duty for eight years. After leaving active duty, Dr. Martin earned his Ph.D. in accounting from the University of Colorado at Boulder where his research focused on financial reporting quality and regulation. Dr. Martin continues to serve as an officer in the United States Air Force Reserves.
Department: Turner School of Accountancy
Publication: Financial Reporting Quality and Auditor Locality Contagion, Jamie Diaz, Gregory W. Martin, & Wayne B. Thomas
Published in: Auditing: A Journal of Practice and Theory (November 2017)
Abstract: Research in information economics seeks to understand how the actions of one individual affect the decisions of related individuals. We examine this issue in the context of information contagion between audit offices in the same locality. Specifically, we investigate whether contagion among Big N audit offices in the same metropolitan statistical area (MSA) causes their client firms’ financial reporting quality to correlate. We document a relation between overstatement of earnings for one firm (as evidenced by a subsequent restatement) and higher abnormal accruals for another firm in that same year, where both firms’ auditors are located in the same MSA. The correlation in reporting quality is consistent with contagion in practices between auditors. We also find evidence that auditor competition is one channel through which information contagion occurs. The between-audit office contagion we document is incremental to within-audit office contagion documented by prior research. Our evidence is important in understanding additional factors related to the quality of auditing and financial reporting and thus should be relevant to audit committees, regulators attempting to improve audit quality, and stakeholders in general.
Dr. Paul Gaggl is an assistant professor in the Department of Economics in the Belk College of Business at UNC Charlotte. His current research concentrates on the distributional effects of technology adoption, particularly concerning the heterogeneous effects on different types of workers and the distribution of income between labor and capital. He received his Ph.D. from the University of California at Davis.
Publication: A Short-Run View of What Computers Do: Evidence from a UK Tax Incentive,
Paul Gaggl & Greg Wright
Published in: American Economic Journal: Applied Economics (2017)
Abstract: We study the short-run, causal effect of Information and Communication Technology (ICT) adoption on the employment and wage distribution. We exploit a natural experiment generated by a tax allowance on ICT investments and find that the primary effect of ICT is to complement non-routine, cognitive-intensive work. We also find that the ICT investments led to organizational changes that were associated with increased inequality within the firm and we discuss our findings in the context of theories of ICT adoption and wage inequality. We find that tasks-based models of technological change best fit the patterns that we observe.
Dr. Laura J. Stanley is an assistant professor in the Department of Management in the Belk College of Business at UNC Charlotte. Her research and teaching interests include employee attitudes, entrepreneurship, strategic human resource management, and research methods. She received her Ph.D. from the University of Georgia.
Publication: Who Are Your Friends? The Influence of Identification and Family In- and Out-Group Friendships on Nonfamily Employee OCB and Deviance, Laura Marler & Laura Stanley
Published in: Entrepreneurship Theory and Practice (forthcoming)
Abstract: To better understand non-family employee OCB and deviance within family firms, we refine the conclusions that family friendships are beneficial (e.g., Vardaman et al. (forthcoming)) by offering a more nuanced perspective that not all friendships are created equal. Building on the work of Eddleston & Kidwell (2012), we consider whether family member friends belong to the family in-group or the out-group. We propose that only friendships with in-group family members will have a positive influence on nonfamily employees’ organizational identification, resulting in higher levels of OCB and lower levels of deviance. On the other hand, friendships with out-group family members will be associated with lower levels of nonfamily employee OCB and higher levels of deviance. Thus, our theorizing expands the nascent literature on nonfamily employees, offering a theoretical rationale for their complex behavior.
Dr. Weidong Tian is the Director of the M.S. in Mathematical Science Program and Professor of Finance and Distinguished Professor in Risk Management and Insurance in the Department of Finance. His primary research interests are asset pricing, and derivative and risk management. He received his Ph.D. from McGill University.
Publication: Callable Contingent Capital: Valuation and Default Risk, Weidong Tian
Published in: Management Science
Abstract: This paper proposes the use of contingent capital with a call provision, in which the insurer has an option to redeem the contingent capital at any time. I characterize in detail a unique dynamic equilibrium of common stock, subordinated contingent capital, and a senior standard bond under a simple yet sufficient and necessary condition that can be implemented easily. I further show that the issuance of callable contingent capital does not affect the default risk of an outstanding senior standard bond. As a result, callable contingent capital provides an alternative design for contingent capital using a prudential capital structure for a bank that is “too big to fail.”
Dr. Yufeng Han is an associate professor in the Department of Finance. His research interests include empirical asset pricing, investment, mutual funds, and econometrics. He received his Ph.D. from Washington University in St. Louis.
Publication: Liquidity Biases and the Pricing of Cross-Sectional Idiosyncratic Volatility around the World, Yufeng Han, Ting Hu and David A. Lesmond
Published in: Journal of Financial and Quantitative Analysis, 50(6), 1269-1292.
Abstract: This paper examines data from 45 world markets and shows that the previously documented relation between mean returns and idiosyncratic volatility arises because of biases in volatility estimates that we can attribute to the bid–ask bounce in trade prices. We show that no significant relation exists between mean returns and idiosyncratic volatility estimated from quote-midpoint returns. Further, there is no significant relation between mean returns and the portion of transaction-price-based idiosyncratic volatility that is orthogonal to bid–ask spreads. The pricing of idiosyncratic volatility is due to the negative pricing of the bid–ask spread.
Dr. Moutaz Khouja is a professor in the Department of Business Information Systems & Operations Management (BISOM). His research interests include supply chain management, technology selection and evaluation, aggregate planning, inventory management and continuous improvement. He received his Ph.D. from Kent State University.
Dr. Jing Zhou is an associate professor in the Department of Business Information Systems & Operations Management (BISOM). Her research work focuses on issues addressing supply chain management and coordination, production and inventory control, and operations-marketing interface through applications of dynamic optimization approaches and game theory. She received her Ph.D. from the University of Texas at Dallas.
Department: Business Information Systems & Operations Management (BISOM)
Publication: The effect of a temporary product distribution channel on supply chain performance, Moutaz Khouja and Jing Zhou
Published in: Naval Research Logistics
Abstract: We focus on explaining the growth of e-commerce platforms such as Groupon and LivingSocial. To do so, we analyze a supply chain of a manufacturer and two retailers, a permanent retailer who always stocks the manufacturer’s product and an intermittent deal-of-the day retailer who sells the manufacturer’s product online for a short time. We ﬁnd that without a deal-of-the-day (DOTD) retailer, it is suboptimal for the manufacturer to offer a quantity discount while it is optimal for the retailer to offer periodic price discounts to consumers. With the addition of a DOTD retailer, it is likely to be optimal for the manufacturer to offer a quantity discount. We show that even without market expansion, i.e., no exclusive DOTD retailer consumers, opening the intermittent channel can leave the permanent retailer no worse-off while increasing the manufacturer’s proﬁt. We identify the regular and discounted wholesale prices and the threshold quantity at which the manufacturer should give the discount. We also identify the optimal retail prices. We ﬁnd that opening the intermittent channel increases the proﬁt of the manufacturer, is likely to decrease the average retail price and to increase sales, and may increase the permanent retailer’s proﬁt.
Dr. Marcia Watson is an associate professor in the Turner School of Accountancy in the Belk College of Business at UNC Charlotte. Her research focuses on understanding how weaknesses in accounting information systems effect accounting information. She received her Ph.D. in accounting from the University of Texas, Austin.
Department: Turner School of Accountancy
Publication: Senior Executives IT Management Responsibilities: Serious IT-Related Deficiencies and CEO/CFO Turnover, Adi Masli, Vernon J. Richardson, Marcia Weidenmier Watson and Robert W. Zmud
Published in: MIS Quarterly
Abstract: While the information systems scholarly and practice literatures both stress the importance of senior executive engagement with IT management, the recommendations for doing so remain, at best, limited and general. Examining the influence of serious IT-related deficiencies on CEO/CFO turnover within the post-SOX financial reporting context, specific CEO/CFO IT management responsibilities are identified: CEOs are shown to be held accountable for global IT management responsibilities, and CFOs are shown to be held accountable for demand-side IT management responsibilities. Implications for information systems research, management research and information systems practice are provided.
Dr. Lisa Schulkind is an assistant professor in the Department of Economics in the Belk College of Business at UNC Charlotte. Her research focuses on understanding how parents' decisions and circumstances affect their children and using this knowledge in order to make policy recommendations to improve intergenerational mobility. She received her Ph.D. in economics from the University of California, Davis.
Publication: Getting a Sporting Chance: Title IX and the Intergenerational Transmission of Health, Lisa Schulkind
Published in: Health Economics
Abstract: We know that healthier mothers tend to have healthier infants, but we do not know how much of that relationship reflects the intergenerational transmission of genetic attributes versus environmental influences. From a policy perspective, it is crucial to understand which environmental influences are important and whether investments in one generation affect outcomes for the next. Schulkind uses variation in the implementation of Title IX to measure the effects of increased athletic opportunities on the health of infants. Babies born to women with greater athletic opportunities as teenagers have babies that are healthier at birth. They are less likely to be born of low or very low birthweight and have higher Apgar scores.
Dr. Nima Jalali is an assistant professor in the Department of Marketing in the Belk College of Business at UNC Charlotte. His research and teaching interests include social media marketing and analytics, digital marketing, consumer word of mouth, quantitative marketing and Bayesian Modeling. He received his Ph.D. from the University of Wisconsin, Milwaukee.
Recent Publication: The Palette that Stands Out: Color Compositions of Curated Online Visual UGC with Higher Consumer Interaction, Nima Y. Jalali and
Published in: Quantitative Marketing and Economics
Abstract: Photos posted by consumers on social media, like Instagram, often include brands. Despite the substantial increase in such photos, there have been few investigations into how prospective consumers respond to this visual UGC. We begin to address this gap in this research by investigating the role of the color compositions of photos in consumer response. Consumer response is operationalized as the proportion of views by visitors that stimulate clicks to enlarge the photo when it’s curated on the included brand’s website. Composition is operationalized as the specific combination of levels of the photo’s color attributes: hue, chroma, and brightness. Our goal is to identify the color compositions of photos, ceteris paribus, which get more clicks when they are curated. Data for our investigation comes from clicks over a one-year period on photos posted on Instagram curated by fifteen brands in six product categories on their sites. We assume Beta distributed proportions and calibrate a Beta regression using MCMC methods for our investigation. We find that click-rates are higher for photos that include higher proportions of green and lower proportions of red and cyan. We also find that chroma of red and blue are higher in photos with higher click-rates. Findings from our research led the sponsoring firm to modify its proprietary curation algorithm for client brands. The firm informed us that, post-modification, there has been a substantial increase in click-rates of curated photos for brands in several categories.
Dr. George C. Banks is an assistant professor in the Department of Management in the Belk College of Business at UNC Charlotte. His research and teaching interests include strategic human resource management, leadership and team development, ethics, as well as research methods and statistics. He received his Ph.D. from Virginia Commonwealth University.
Recent Publication: Management’s science practice gap: A grand challenge for all stakeholders,George C. Banks, Jeffrey M. Pollack, Jaime E. Bochantin, Bradley L. Kirkman, Christopher E. Whelpley, Ernest H. O’Boyle
Published in: Academy of Management Journal
Abstract: Despite multiple high-profile calls—across decades and from multiple stakeholders—to address the widening gap between science and practice, the relevance of research conducted in the management domain remains in question. To once again highlight this issue and, more importantly, identify solutions, we explore the grand challenge of the science-practice gap by applying stakeholder theory. Using a grounded theory approach, we conducted a series of interviews (n = 38) and a focus group with academics and practitioners (e.g., executives, entrepreneurs, government officials) in order to develop a set of theoretical models and propositions that extend stakeholder theory. We supplemented our inductive theory building approach with a survey of academics (n = 828) and practitioners (n = 939) and a qualitative content analysis to identify 22 grand challenges (i.e., eight shared, eight uniquely academic, and six uniquely practitioner). We discuss the theoretical and practical implications of our findings and illustrate multiple directions for future research to build permanent bonds—not just temporary links—between science and practice.
Dr. I-Hsuan Ethan Chiang has research focus areas that encompass empirical asset pricing, portfolio management and performance evaluation, fixed income securities and financial econometrics. He earned his Ph.D. in finance from Boston College.
Recent Publication: Estimating Oil Risk Factors Using Information from Equity and Derivatives Markets, I-Hsuan Ethan Chiang, W. Keener Hughen, Jacob S. Sagi
Published in: The Journal of Finance
Abstract: The authors introduce a novel approach to estimating latent oil risk factors and establish their significance in pricing nonoil securities. The model, which features four factors with simple economic interpretations, is estimated using both derivative prices and oil-related equity returns. The fit is excellent in and out of sample. The extracted oil factors carry significant risk premia, and are significantly related to macroeconomic variables as well as portfolio returns sorted on characteristics and industry. The average nonoil portfolio exhibits a sensitivity to the oil factors amounting to a sixth (in magnitude) of that of the oil industry itself.
Dr. Kexin Zhao joined the Belk College of Business in 2007 and received her Ph.D. from the University of Illinois at Urbana-Champaign. Her current research focuses on e-business standardization, electronic commerce, and IT audit and controls.
Department: Business Information Systems & Operations Management (BISOM)
Recent Publication: Online Price Dispersion Revisited: How Do Transaction Prices Differ from Listing Prices?, Kexin Zhao, Xia Zhao and Jing Deng.
Published in: Journal of Management Information Systems. Volume 32, Issue 1, 2015.
Abstract: Price dispersion of a homogeneous product reflects market efficiency and has significant implications on sellers’ pricing strategies. Two different perspectives, the supply and demand perspectives, can be adopted to examine this phenomenon. The former focuses on listing prices posted by sellers, and the latter uses transaction prices that consumers pay to obtain the product. However, no prior research has systematically compared both perspectives, and it is unclear whether different perspectives will generate different insights. Using a unique data set collected from an online market, we find that the dispersion of listing prices is three times higher than the dispersion of transaction prices. More interestingly, the drivers of price dispersion differ significantly between listing and transaction data. The dispersion of listing prices reflects sellers’ perception of market environment and their pricing strategies, and it may not fully capture consumer behavior manifested through the variation of transaction prices. Our study indicates that the difference in perspectives taken on the online prices yields different results as to their dispersion.