Wheat variety yield data: Do commercial and public performance tests provide the same information?

Wheat yields from reported performance test results are of economic importance to wheat producers, since their profits depend on selecting the optimal variety for their location. However, our data shows differences in absolute and relative wheat yields between commercial and public wheat breeding program's performance test data in Kansas. Newly available data are used to test if the difference in yields arose from potential selectivity bias, and to determine the contribution of private and public wheat breeding programs to varietal yield improvement during 2007–2012. Both Heckman selection models and multiple regression showed no statistical evidence of the potential presence of selectivity bias rather, managerial practices, agronomic conditions, field location, and inherent genetic traits of the seed variety were identify as the source of yield differences.     

Tales from tails: On the empirical distributions of forecasting errors and their implication to risk

When evaluating the performances of time series extrapolation methods, both researchers and practitioners typically focus on the average or median performance according to some specific error metric, such as the absolute error or the absolute percentage error. However, from a risk-assessment point of view, it is far more important to evaluate the distributions of such errors, and especially their tails. For instance, a lack of normality and symmetry in error distributions can have significant implications for decision making, such as in stock control. Moreover, frequently these distributions can only be constructed empirically, as they may be the result of a computationally-intensive non-parametric approach, such as an artificial neural network. This study proposes an approach for evaluating the empirical distributions of forecasting methods and uses it to assess eleven popular time series extrapolation approaches across two different datasets (M3 and ForeDeCk). The results highlight some very interesting tales from the tails.     

How to win the consumer’s heart? Exploring appraisal determinants of consumer pre-consumption emotions

Emotions are key drivers of consumption in the tourism and hospitality sector. Therefore, advancing our understanding of the determinants of consumer emotions is critical for tourism and hospitality marketers to effectively influence consumer affect-driven consumption behavior. However, research on the determinants of pre-consumption emotions remains under-explored. This study aims to fill the research gap and proposes a theoretical framework to explain affect-driven behavior. Grounded on the cognitive appraisal theory of emotions, we hypothesize that marketing stimuli are personally appraised based on several dimensions such as novelty and goal relevance. These appraisal dimensions determine the elicitation of positive emotions, leading to behavioral intentions. A total of 655 participants were recruited for an empirical study to test this framework in the context of a tourism event experience. We use an experimental research design to examine consumer appraisals, emotions and behavioral intentions in four conditions: two marketing visual formats (poster vs. video) over two delivery channels (advertising vs. e-word-of-mouth). Research outcomes support the theoretical framework of consumer affect-driven behavior, suggesting that the elicitation of positive emotions beneficially guides consumer behavior in goal striving and novelty seeking. Based on this, emotion-focused marketing implications are recommended, including goal-based segmentation, goal-relevant content development and the use of eWOM as an emotion-enhancing message delivery channel.     

构建高校预算绩效评价机制的思考

高校预算绩效评价机制,是高校预算绩效管理的重要制度安排。本文探讨构建高校预算绩效评价机制的思路:采取定性指标与定量指标相结合的方法,设计一套基本支出和项目支出绩效评价指标体系,建立以效果为导向、责任与激励相结合的高校预算绩效管理责任制度。     

Assessing self-selection and endogeneity issues in the relation between activity-based costing and performance

Studies investigating the relation between ABC adoption and performance are inconclusive and plagued with econometric problems. This study extends prior research to investigate the association between ABC adoption and four manufacturing plant performance measures (cycle-time improvement, quality improvement, cost improvement, and profitability) and to assess selection bias and the endogenous nature of their relationship. I use the Heckman (1979) model to assess sample selection bias and the Wooldridge (2002) 2SLS-IV approach, to investigate endogeneity. After controlling for sample selection bias and endogeneity, the coefficient of ABC under the Heckman method and ABC_fit under the 2SLS-IV method becomes significantly higher compared to the coefficient of ABC under the OLS method. In addition, both the inverse Mills ratio, under the Heckman model, and Hausman F-test, under the Wooldridge 2SLS approach, are positive and significant, confirming the presence of both sample selection bias and endogeneity. Overall, I find that controlling for sample selection bias and endogeneity is essential in properly assessing the significance of ABC-performance association.     

Effects of control on the performance of information systems projects: The moderating role of complexity risk

Control of projects is a core issue for organizations. Successful projects, such as information systems projects, enable organizations to develop a superior supply network and enhance the capability of operations management. A few studies have investigated the effects of control on project performance; however, complexity risk has not been integrated into the relationship between control and performance. Limited evidence has been provided concerning whether modes of control differ in their effectiveness in the presence of a single risk factor. Based on quantitative data obtained from 128 information systems projects, behavior, outcome, clan, and self-control are empirically determined to be positively associated with the system performance of projects. However, complexity risk generates a mixed moderating effect on the relationship between control and performance. In the presence of a high complexity risk, the effects of behavior and self-control on performance are low, whereas the effectiveness of outcome and clan control increases. This finding implies that complexity risk is a double-edged sword with regard to control. Each control mode exhibits different characteristics and effectiveness under high complexity risk. Therefore, appropriate control modes should be carefully selected, and highly effective control modes, such as outcome and clan control, should be prioritized in managing complex system projects.     

Prompting transdisciplinary research: Promising futures for using the performance metaphor in research

Transdisciplinary research is increasingly recognised as important for investigating and addressing ‘wicked’ problems such as climate change, food insecurity and poverty, but is far from commonplace. There are structural impediments to transdisciplinarity such as university structures, publication requirements and funding preferences that perpetuate disciplinary differences and researchers often lack transdisciplinary experience and expertise. In this paper we present a heuristic that aims to encourage researchers to think about their current research as performance and then imagine different performances, with the view to encouraging reflection and creativity about the transdisciplinary potential and dilemmas. The heuristic is inspired by the metaphor of performance that Erving Goffman uses to understand everyday, face-to-face interactions. The heuristic includes scaffolding for imagining research as performance through a transdisciplinary lens, a suggested process for using the tool, and examples based on the every day research projects. The paper describes the application of the heuristic in a graduate masterclass, reflecting on whether it does indeed ‘prompt’ transdisciplinary research. Limitations and lessons learned for further refinement of the heuristic are also included. The authors conclude that the heuristic has a range of uses including for self-reflection, and as a practical learning tool that can also be used at the start of integrative research projects.     

Pitfalls and perils of financial innovation: The use of CDS by corporate bond funds

We use the financial crisis of 2007–2009 as a laboratory to examine the costs and benefits of teams versus single managers in asset management. We find that when a fund uses complex trading strategies involving the use of CDS team-managed funds outperform solo-managed funds. This may be due to the greater diversity of expertise, experience and skill of teams relative to single managers. During the financial crisis, however, the performance premium of teams becomes negative, which may be because of the slower decision times of teams, which are especially costly during times of rapidly changing market conditions.     

The performance of performance appraisal systems: understanding the linkage between appraisal structure and appraisal discrimination complaints

Abstract

Employee perceptions of the fairness of performance evaluations are critical to the success of any appraisal system. Research on performance management includes extensive studies on how bias emerges in the appraisal process. Despite this, there is no empirical evidence linking formal discrimination complaint filings – a key measure of bias - and performance appraisals. To close this gap, we conduct an empirical analysis using information on appraisal systems and discrimination complaints from the US federal government. Our findings suggest that agencies with better-designed appraisal systems will experience higher appraisal-related discrimination complaints, contrary to expectations. In particular, an expansion of training and voice opportunities are associated with an increase in appraisal discrimination complaints, while increased differentiation between performers is not consistently associated with complaints. For managers struggling with performance management, it may be better to spend time on improving performance-focused interpersonal communication rather than redesigning appraisal systems.     

知识重叠、知识库特性与创新绩效

以往研究着重探讨重叠/非重叠知识在技术并购中的创新效应，然而在测度知识重叠时仅关注到数量属性而忽略了质量评估。因此，构建一个新的理论框架，利用国家知识产权局2008-2018年专利授权数据，分析217家中国机械制造企业352次国内技术并购案例，探索知识库中重叠、非重叠知识数量和质量属性对并购后创新绩效的影响。结果表明，高质量重叠知识对并购后的企业创新绩效具有正向影响，而高质量非重叠知识则有负向影响。同时，探讨知识数量对并购后创新绩效的影响。研究结果强调了知识重叠对企业获取外部知识的重要性，对企业技术并购实践具有借鉴作用。