Scholarly achievement and accounting journal editorial board membership

The importance of editorial boards to the peer review process makes it imperative that board members be selected on the basis of proven records of scholarly achievement as demonstrated by publications in peer-reviewed journals and subsequent citations to those publications. Although research in accounting has looked at the composition of editorial boards, the scholarly achievement of editorial board members has not been examined. The purpose of our study is to empirically investigate the scholarly achievement of editorial board members of selected accounting journals. We find that the top accounting journals may not be using the same criteria in selecting editorial board members. Further, the level of achievement of the editorial board members and their articles’ impact factors were often inconsistent with the perceived ranking of the journals in which they served. A discussion and implications of our results are also provided.     

Threat of falling high status and corporate bribery: Evidence from the revealed accounting records of two South Korean presidents

Research Summary: Social status and its dynamics may be an important predictor of which firms will engage in large‐scale bribery. Prior theory is incomplete, however, and prior studies have lacked comprehensive and reliable data on firm‐level bribery decisions. We offer a new theoretical prediction and a novel data set on high‐level corruption in South Korea, where the accounting records of two presidents in the 1987–1992 era were exposed to after‐the‐fact legal and public scrutiny. We find that, controlling for a range of alternative explanations, the threat of falling high status—that is, the combination of longstanding high social status with current‐period mediocre economic performance relative to that of industry peers—is a statistically and economically meaningful predictor of increases in the amount of large‐scale corporate bribery. Managerial Summary: What leads companies to engage in large‐scale bribery of senior politicians? Our concept of “threat of falling high status” refers to a circumstance where companies that have historically enjoyed high status through their owner families’ elite marriage networks experience mediocre economic performance relative to their peers. We show that this threat of falling high status is a notable determinant of large‐scale corporate bribery of senior politicians, using court data on corporate bribery of two South Korean presidents during 1987–1992. The implication of our study is twofold. Companies can strengthen internal control systems to avoid any large‐scale illegal activities at a higher level. Law enforcement agencies can also implement targeted monitoring programs to preempt illegal activities among companies facing the threat of falling high status.     

Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture

Stated choice models based on the random utility framework are becoming increasingly popular in the applied economics literature. The need to account for respondents' preference heterogeneity in such models has motivated researchers in agricultural, environmental, health, and transport economics to apply random parameter logit and latent class models. In most of the published literature these models incorporate heterogeneity in preferences through the systematic component of utility. An alternative approach is to investigate heterogeneity through the random component of utility, and covariance heterogeneity models are one means of doing this. In this article we compare these alternative ways of incorporating preference heterogeneity in stated choice models and evaluate the sensitivity of estimated welfare measures to which approach is selected. We find that a latent class approach fits our data best, but all the models perform well in terms of out-of-sample predictions. Finally, we discuss what criteria a researcher can use to decide which approach is most appropriate for a given data set.     

The Use of Forecast Accuracy Indicators to Improve Planning Quality: Insights from a Case Study

Abstract

Accounting studies have analyzed rolling forecasts and similar dynamic approaches to planning as a way to improve the quality of planning. We complement this research by investigating an alternative (complementary) way to improve planning quality, i.e. the use of forecast accuracy indicators as a results control mechanism. Our study particularly explores the practical challenges that might emerge when firms use a performance measure for forecast accuracy. We examine such challenges by means of an in-depth case study of a manufacturing firm that started to monitor sales forecast accuracy. Drawing from interviews, meeting observations and written documentation, we highlight two possible concerns with the use of forecast accuracy: concerns related to the limited degree of controllability of the performance measure and concerns with its goal congruence. We illustrate how organizational actors experienced these challenges and how they adapted their approach to forecast accuracy in response to them. Our empirical observations do not only shed light on the possibilities and challenges pertaining to the use of forecast accuracy as a performance measure; they also improve our understanding of how specific qualities of performance measures apply to ‘truth-inducing’ indicators, and how the particular organizational and market context can shape the quality of performance measures more generally.     

Location,location, location: currency effects and return predictability?

Most international financial market studies that compare across countries utilize the US dollar as the common numeraire. We explore the little studied question of the appropriate choice for the base currency and ask if currency choice can affect the final conclusion of whether predictability exists. We provide empirical results for stock return predictability that demonstrate the importance of the numeraire. For example, the existence (absence) of predictability for a US investor does not necessarily imply the existence (absence) of predictability for other foreign investors.     

The influence of strategy map communications and individual differences on multidimensional performance evaluations

Multidimensional performance evaluation systems such as the Balanced Scorecard (BSC) were developed to overcome the documented tendency of managers to focus almost exclusively on short-term financial performance measures while disregarding or de-emphasising other short-term and/or long-term non-financial performance measures. Evidence suggests, however, that implementation of many of these systems has not achieved desired outcomes. Cogent communication of a corporation's goals and management's strategy to achieve those goals can be expected to influence employee ‘buy-in’ and the subsequent use or resistance to multidimensional performance measures. In this study we examine the role of strategy maps in communicating goals and strategy. We also examine individual differences (tolerance of ambiguity and functional background) that we believe also influence individuals to be more (or less) receptive to the guidance of strategy maps. An experiment was conducted with 165 experienced professionals enrolled in MBA programmes in Spain and the US. Our experimental results indicate that a strategy map reflecting integrated dependencies can de-bias evaluations of certain groups of individuals, who have high tolerance for ambiguity and have a financial work background. Implications and suggestions for future research are also provided.     

How similar are alcohol drinkers? International evidence

Using a Vector Autoregression (VAR) approach, several hypotheses are re-examined suggested by the literature concerning the relationship between financial development and economic growth, investment and productivity. The models use quarterly time-series data from ten OECD countries and China. Innovation accounting or variance decomposition and impulse response function analysis is applied to examine interrelationships between variables in the VAR system and, therefore, differs from the more usual Granger causality approach. In particular, it examines the relationship between financial development proxied by total credit. At best, weak support is found for the hypothesis that financial development ‘leads' economic growth.