The Materiality of Accounting Errors: Evidence from SEC Comment Letters

We gain unique insights into materiality judgments about accounting errors by examining SEC comment letter correspondence. We document that managers typically use multiple quantitative benchmarks in their materiality analyses, with earnings being the most common benchmark. In most of the cases we review, managers deem the error immaterial despite its exceeding the traditional “5 percent of earnings” rule of thumb, often in multiple periods and by a large degree. Instead of attempting to conceal these overages, managers tend to forthrightly acknowledge them, often asserting that the benchmark is abnormally low during the violation period. We find that 17–26 percent of these “low benchmark” assertions are suspect (although none of these “low benchmark” assertions are challenged by the SEC). We also document substantial variation in the extent to which qualitative factors are mentioned as considerations. The SEC generally is deferential toward managers' arguments and judgments but is more likely to challenge immateriality claims when managers admit there are qualitative factors that indicate errors are material.     

Systematic Managed Floating

Open Economies Review - A majority of countries neither freely float their currencies nor firmly peg. But most of the remainder in practice also don’t obey such well-defined intermediate...     

Effects of Information Technology Capabilities on Strategic Alliances: Implications for the Resource‐Based View

This paper adopts a contingency approach to the resource‐based view (RBV) of the firm and seeks to establish boundary conditions for the value of certain information technology (IT) capabilities. We first identify inter‐organizational alliances as a specific strategy context in which IT capabilities are particularly valuable. We then consider more detailed boundary conditions that can shape the value of these capabilities within the alliance context. Our study shows that firms with better IT capabilities can derive greater value from an alliance, yet this effect also varies across different types of alliances depending on an individual alliance's characteristics. Specifically, IT capabilities are more valuable for alliances with a non‐equity governance structure, as well as those involving a high degree of interdependence between partners. We highlight the implications of our findings for opportunities to advance the RBV.     

Influence factors for operational control and compensation in professional service firms

Professional service firms have distinct operational challenges due to the type of work that is transacted by the employees of these firms, and due to the nature of the employees themselves. In this paper, we develop and present factors that influence professional service operations in firms and compensation structures for professional service providers. We establish professional service influence factors, which we posit will impact agency relationships in professional service firms. That is, we hypothesize that professional service influence factors (PSIFs) will moderate the effect of task programmability and outcome measurability in predicting the use of behavior- or outcome-based compensation schemes (control strategy). Logistic regression is used on data provided by 192 professional service providers in order to examine the impact of the agency variables and moderating factors on control strategies. The results indicate that company- and profession-based factors have moderating effects on task programmability when predicting control strategy. We discuss the implications of our findings.     

A versatile and robust metric entropy test of time-reversibility,and other hypotheses

We examine the performance of a metric entropy statistic as a robust test for time-reversibility (TR), symmetry, and serial dependence. It also serves as a measure of goodness-of-fit. The statistic provides a consistent and unified basis in model search, and is a powerful diagnostic measure with surprising ability to pinpoint areas of model failure. We provide empirical evidence comparing the performance of the proposed procedure with some of the modern competitors in nonlinear time-series analysis, such as robust implementations of the BDS and characteristic function-based tests of TR, along with correlation-based competitors such as the Ljung–Box Q-statistic. Unlike our procedure, each of its competitors is motivated for a different, specific, context and hypothesis. Our evidence is based on Monte Carlo simulations along with an application to several stock indices for the US equity market.     

Some Empirical Evidence of the Efficacy of Job Matching in Urban Labor Markets

Theory predicts that workers in cities are more likely to engage in job search, ceteris paribus, due to market efficiencies associated with greater job density. However, if job search is more efficient in urban markets, then the quality of a given job match should also tend to be higher in cities, ceteris paribus. Employed workers living in cities might then be expected to search less than their nonurban counterparts. In this latter instance, it is not city residency itself that makes search less likely, but rather the positive correlation between city residency and job match quality. Using data from the National Longitudinal Survey of Youth 1979, this prediction is confirmed: The estimated coefficient on an indicator of urban residency is found to be near zero and statistically insignificant in models of employed search that omit proxies for job match quality. When job match proxies are included in the models, the estimated coefficient on urban residency becomes positive and highly significant. This result suggests that workers are not only more likely to engage in employed search in urban labor markets, but also tend to find more productive job matches in cities over time.

Encouraging knowledge sharing among employees: How job design matters

Job design is one of the most frequently researched practices in the Human Resource Management (HRM) literature, and knowledge sharing has become an important and heavily researched managerial practice. The links between these practices, however, have received little attention in the literature. We argue that job design matters to knowledge sharing for motivational reasons. Specifically, jobs contain characteristics that stimulate different kinds of motivation toward knowledge sharing, which have different effects on individual knowledge sharing behavior. We develop six hypotheses that unfold these ideas and test them on the basis of individual‐level data collected within a single firm. The hypotheses are tested in a LISREL model that confirms that job characteristics, such as autonomy, task identity, and feedback, determine different motivations to share knowledge, which in turn predict employees' knowledge sharing behaviors. © 2009 Wiley Periodicals, Inc.     

The Coastal Community Perception on the Socio-Economic Impacts of Agro-Tourism Activities in Coastal Villages in Malaysia

This paper is concerned with the socio-economic impacts of agro-tourism activities in coastal villages listed as Desa Wawasan Nelayan (DWN) in Malaysia. The paper discussed the impacts of the two major components of socio-economics dynamics, namely social and economic activities. This account highlights a number of discussions with specific reference to DWN in Malaysia. It identifies the similarities and differences with regard to socio-economic impact, and it is expected that these points will be of practical use for other agro-tourism areas around the globe, and help to increase interest in agro-tourism activities.     

Bundling attractions for rural tourism development

Tourism is often regarded as a viable solution to economic crisis, especially for remote areas without many development options. While many tourism destinations have strong cultural or heritage assets, not all destinations have primary attractions that can bring visitors to the region. Rather than developing special interest “themes”, rural areas that do not have enough of any one type of tourism resource to act as a primary draw may consider bundling different attraction types to increase visitation. The purpose of this study is to investigate the preferences of visitors to secondary heritage sites and explore the relationship between heritage tourism and alternative, non-heritage activities in rural areas. Findings revealed that motivation to visit small-scale heritage sites consisted of two dimensions: learning and recreation. The two motivational dimensions influenced visitors’ interest in different heritage attractions and likelihood of visiting heritage tourism “scenarios”. As for alternative activities, there was a cluster of “popular” activities that were enjoyed by both learning-oriented and recreation-oriented respondents, but recreation-oriented visitors were more interested in nature-based activities and sport-related activities than learning-oriented visitors. Findings can help rural communities improve secondary attractions and diversify their tourism product by bundling heritage attractions with non-heritage activities.     

A note on odds in the cattle futures market

This paper investigates the odds of generating a 100-fold return in the cattle futures market. We employ cattle futures data for the period October 11, 1978, through July 31, 1979, to compute the probability of obtaining such a return. The tests are constructed to give the investor the benefit of the doubt whenever doubt exists. The most conservative finding is that the probability is one in approximately thirty-one trillion. Assuming that the return is made in the most efficient way possible, this probability falls to approximately 1.5×10⁻¹⁶.