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.     

Dispersion in Analysts’ Earnings Forecasts and Market Efficiency

Recent studies show that firms with higher analysts’ earnings forecasts dispersion subsequently have lower returns than firms with lower forecasts dispersion. This paper evaluates alternative explanations for the dispersion–return relation using a stochastic dominance approach. We aim to discriminate between the hypothesis that some asset pricing models can explain the puzzling negative relation between dispersion and stock returns, and the alternative hypothesis that the dispersion effect is mainly driven by investor irrationality and thus is an evidence of a failure of efficient markets. We find that low dispersion stocks dominate high dispersion stocks by second‐ and third‐order stochastic dominance over the period from 1976 to 2012. Our results imply that any investor who is risk‐averse and prefers positive skewness would unambiguously prefer low dispersion stocks to high dispersion stocks. We conclude that the dispersion effect is more likely evidence of market inefficiency, rather than a result of omitted risk factors.     

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.     

Innovation and firm performance in Korea and China: a cross-context test of mainstream theories

We investigate the relationship between innovation and firm performance in two divergent emerging economy contexts: Korea and China. Mainstream innovation theories make disparate claims for how (1) intensity of innovation, (2) scope of innovation and (3) spillovers impact firm performance. Using a comparative institutionalist approach we hypothesise how these relationships apply to firms in Korea and China. Analysis of 897 firm–year data points over a 4-year period provides broad support for our hypotheses. Intensity of innovation (patent intensity) is a strong cross-contextual argument. Scope and spillover arguments appear to be more context-sensitive. Firms with innovation depth in specific technological fields enjoy better performance in Korea, while diversified innovation is more beneficial for firms in China. Spillovers have a stronger impact in Korea than China. The findings underline the importance of incorporating change in institutional context when developing policy and theory relating to firm innovation and performance in emerging economies.     

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.