Relative Importance of Major Job Performance Dimensions in Determining Supervisors' Overall Job Performance Ratings

This study explores the factor structure of job performance and each performance dimension's relative importance in determining supervisors' overall job performance ratings. We found that the optimal factor structure of job performance includes five dimensions: task performance, organizational citizenship behaviour directed toward the organization and individuals (OCB‐O and OCB‐I, respectively), and counterproductive work behaviour directed toward the organization and individuals (CWB‐O and CWB‐I, respectively). The percent‐based relative weight (%RW) is the highest for task performance in determining job performance, followed by OCB and CWB. Interestingly, the %RW of non‐task performance dimensions directed toward the organization (OCB‐O and CWB‐O) is similar to the %RW of task performance but greater than the %RW of non‐task performance dimensions directed toward individuals (OCB‐I and CWB‐I). Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

TACKLING FALSE POSITIVES IN BUSINESS RESEARCH: A STATISTICAL TOOLBOX WITH APPLICATIONS

Serious concerns have been raised that false positive findings are widespread in empirical research in business disciplines. This is largely because researchers almost exclusively adopt the ‘p‐value less than 0.05’ criterion for statistical significance; and they are often not fully aware of large‐sample biases which can potentially mislead their research outcomes. This paper proposes that a statistical toolbox (rather than a single hammer) be used in empirical research, which offers researchers a range of statistical instruments, including a range of alternatives to the p‐value criterion such as the Bayesian methods, optimal significance level, sample size selection, equivalence testing and exploratory data analyses. It is found that the positive results obtained under the p‐value criterion cannot stand, when the toolbox is applied to three notable studies in finance.     

The great moderation in micro labor earnings

Between 1980 and the early 1990s the variability of labor earnings growth rates across the prime-age working population fell significantly. This decline and timing are consistent with other macro and micro observations about growth variability that are collectively referred to as the “Great Moderation.” The variability of earnings growth is negatively correlated with age at any point in time, and the U.S. working age population got older during this period because the Baby Boom was aging. However, the decrease in variability was roughly uniform across all age groups, so population aging is not the source of the overall decline. The variance of log changes also declined at multi-year frequencies in such a way as to suggest that both permanent and transitory components of earnings shocks became more moderate. A simple identification strategy for separating age and cohort effects shows a very intuitive pattern of permanent and transitory shocks over the life cycle, and confirms that a shift over time in the stochastic process occurred even after controlling for age effects.     

Asymptotic and bootstrap prediction regions for vector autoregression

Small sample properties of asymptotic and bootstrap prediction regions for VAR models are evaluated and compared. Monte Carlo simulations reveal that the bootstrap prediction region based on the percentile-t method outperforms its asymptotic and other bootstrap alternatives in small samples. It provides the most accurate assessment of future uncertainty under both normal and non-normal innovations. The use of an asymptotic prediction region may result in a serious under-estimation of future uncertainty when the sample size is small. When the model is near non-stationary, the use of the bootstrap region based on the percentile-t method is recommended, although extreme care should be taken when it is used for medium to long-term forecasting.     

Buyer-Carts for B2B EC: The b-Cart Approach

To support the purchasing process in the B2B EC platform, we analyzed various architectures of buyer-carts. The desired features in buyer-carts are collection, recording, trashing, tracking, identification, ordering, payment, purchasing decision support, and transmission of records to e-procurement systems. A buyer-cart can be categorized as s-cart, i-cart, and b-cart depending upon its residing sites: seller, intermediary, and buyer. To design the architectures of B2B e-marketplaces considering the role of buyer-carts, we analyzed the feasible combinations of marketplace operators, pricing mechanisms, and types of buyer-carts. Seventeen elementary types of B2B EC architectures turned out meaningful in this regard, thus their pros and cons are evaluated. Based on this framework, we designed a composite architecture MyCart, which allows the buyer to use b-cart along with s-cart and i-cart. By using the b-cart, a buyer can visit multiple sites collecting information in his or her own cart. This will allow the tight integration of b-cart with the e-procurement system. We demonstrate that the b-cart approach can be an effective framework of integrating the e-marketplaces with e-procurement systems and ERP systems. The b-cart can be very effectively applied to the desktop purchasing environment which uses external e-marketplaces.     

Policy Role of Social Media in Developing Public Trust: Twitter communication with government leaders

Citizens’ trust in a government is critical when the government utilizes Twitter to communicate with the public. This research collected 398 questionnaire samples from Korean citizens who communicate with a central government department via Twitter and employed a structured equation analysis. The study discovered that tweets coming from a leading (or an executive) government officer (e.g., a minister) played mediation role in increasing citizens’ perception of credibility in governmental Twitter feed. Furthermore, the citizens’ trust in governmental media functioned as a moderator for expanding their trust in government from an agency level to the overall government.     

Influence of customer–firm relationships on customer participation in the service industry

Previous research has focused on relationship value and outcome as ‘consequence variables’ of customer participation (CP). This study examines customer–firm relationships as an ‘antecedent variable’ of CP. Early contact and relationships with customers build confidence in the service encounter and create customer trust, which leads to commitment and improves customer cooperation. Likewise, interaction and relationship building in the service encounter encourage active customer cooperation and participation in the later stages of interaction. This study analyzes the influence of relational antecedent factors affecting customer participation intention, examines the moderating effects of customer relationship proneness, and suggests some theoretical and practical implications.     

Control Function Approach for Partly Ordered Endogenous Treatments: Military Rank Premium in Wage

In treatment effect analysis, there are many cases where the treatment of interest is ordered (e.g. general‐education years or medicine doses) and the control treatment is not zero, but a different type of treatment (a vocational training or a surgery). We develop an approach to find effects of partly ordered treatments, while correcting for possible treatment endogeneity with nearly parametric control functions. We use this control function approach, along with its supplementary version, to estimate effects of military ranks (ordered treatments) on wage relative to non‐veteran status (control treatment) with the Wisconsin Longitudinal Study data. In our empirical analysis, the military rank effects differ much: officer has large positive effects, but enlisted ranks have small or no effects.     

Lose weight for a raise only if overweight: Marginal integration for semi‐linear panel models

Some studies have shown that body mass index (BMI), weight (kg)/height (m)², has a negative (or no) effect on wage. But BMI representing obesity is a tightly specified function of weight and height, and there is a room for weight given height (i.e. obesity given height) to better explain wage when the tight specification gets relaxed. In this paper, we address the question of weight effect on wage given height, employing two‐wave panel data for white females and adopting a semi‐linear model consisting of a nonparametric function of weight and height and a linear function of the other regressors. We find that there is no weight effect on wage up to the average weight, beyond which a large negative effect kicks in. Linear BMI models give the incorrect impression of the presence of a ‘wage gain’ by becoming slimmer than the average and of a ‘wage loss’ that is less than what it actually is when going above the average. Copyright © 2010 John Wiley & Sons, Ltd.