Big data driven cycle time parallel prediction for production planning in wafer manufacturing

Cycle time forecasting (CTF) is one of the most crucial issues for production planning to keep high delivery reliability in semiconductor wafer fabrication systems (SWFS). This paper proposes a novel data-intensive cycle time (CT) prediction system with parallel computing to rapidly forecast the CT of wafer lots with large datasets. First, a density peak based radial basis function network (DP-RBFN) is designed to forecast the CT with the diverse and agglomerative CT data. Second, the network learning method based on a clustering technique is proposed to determine the density peak. Third, a parallel computing approach for network training is proposed in order to speed up the training process with large scaled CT data. Finally, an experiment with respect to SWFS is presented, which demonstrates that the proposed CTF system can not only speed up the training process of the model but also outperform the radial basis function network, the back-propagation-network and multivariate regression methodology based CTF methods in terms of the mean absolute deviation and standard deviation.     

The Neutrality Illusion: Biased Economics,Biased Training,and Biased Monetary Policy. Testing the Role of Ideology on FOMC Voting Behaviour

This research is trying to shed light on two myths that are usually widespread: the first one being the idea of the academic economist as a neutral scientist finding uncontestable consensual truths, thanks to uncontestable empirical methods, the second, the idea of the central banker as a Weberian neutral bureaucrat setting aside personal beliefs to act mechanically for the common good. Deconstructing this ‘neutrality illusion’, this work argues that economics is actually a divided and ideologically marked discipline despite its aim at natural-science-type-legitimacy. It argues in a related discussion that such ideological bias also impedes a purely neutral conduct of monetary policy, undermining the very idea of central bank independence. Linking these two arguments, it argues that graduate training in economics is the first place for the formation of biased preferences, because of the substantial ideological sorting that exists across universities. Using a unique database on FOMC members’ votes and ideology, the paper tests this idea empirically and despite unavoidable caveats, finds robust evidence of a systematic impact of the ideological features of their alma mater on FOMC members’ voting behaviour – impact that we found more important than the other traditional determinants of central bankers’ actions.     

Schmoozers,not snoozers: Busting the Kevin and Angela stereotypes in public accounting

In contrast to the well-known stereotype of the boring, unsociable accountant, today’s public accounting professionals argue that they are boundary spanners. Working at the intersection of the firm/client interface, these professionals contend that sociability is a requisite skill for routinely navigating the many interactions they have with multiple personnel at client organizations. This research aims to address this disconnect and to confront whether the public perception is warranted. Using the Trait Emotional Intelligence Questionnaire (TEIQue), we assess the sociability of 176 public accounting professionals and discover that, contrary to the stereotype, male public accountants are more sociable than males in the general population. Our analysis also demonstrates that female public accountants are no more or less sociable than females in the general population. Additional analysis shows that while male public accountants are more sociable than female public accountants, this effect is attributable to differences at lower levels of the profession and that male-female differences disappear when comparing male managers and partners to female managers and partners. Given the importance of sociability in public accounting, this research offers recruiting strategies that will help to dispel the myth of the unsociable accountant and provides training tips for enhancing sociability within the ranks.     

Legally astute managers as a source of value in organizations

The legal and compliance departments in organizations have more influence than ever before. Why then are companies so vulnerable to legal liability? The problem may not be with talented legal professionals, but with the lack of legal knowledge held by MBAs and other business school graduates that make day-to-day decisions in modern organizations. Firms can close this knowledge gap and minimize legal liability by training their managers in legal astuteness—the ability of a manager to address legal issues successfully—by instilling four essential traits: respecting the rule of law, recognizing legal issues, resolving problems proactively, and reporting complex legal issues to experts. Job candidates should also be screened for traits of legal astuteness. A legally astute candidate, especially a graduate of a business school that requires legal education for all its students, can be a cultural ambassador for legal astuteness and a valuable liaison between legal and compliance departments and the candidate’s functional area. A legally ignorant candidate will require significant training and a frank assessment of the legal risk they bring to the organization. Modern firms in today’s legal environment face two choices: hire a legally astute manager now or deal with a compliance headache later.     

Training and organisational performance: A meta‐analysis of temporal,institutional and organisational context moderators

Drawing on systems theory, we conducted a moderated meta‐analysis of the training and organisational performance relationship using 119 primary studies. We examined the moderating effects of quality versus quantity of training, time, institutional and organisational context factors in the relationship between training and organisational performance. Our findings reveal that training is positively and directly related to organisational performance with no statistically significant difference between measures of training quality and quantity. We found that the relationship was stronger over time and that country performance orientation and country labour cost moderate the training and organisational performance relationship. We found no evidence for the moderating effects of the three organisational context moderators we examined (i.e. industry sector, organisational size and technology intensity). Finally, our results reveal that training type (i.e. general or firm‐specific) does not moderate the training and organisational performance relationship.     

Risk preference heterogeneity in group contests

We analyze the first model of a group contest with players that are heterogeneous in their risk preferences. In our model, individuals’ preferences are represented by a utility function exhibiting a generalized form of constant absolute risk aversion, allowing us to consider any combination of risk-averse, risk-neutral, and risk-loving players. We begin by proving equilibrium existence and uniqueness under both linear and convex investment costs. Then, we explore how the sorting of a compatible set of players by their risk attitudes into competing groups affects aggregate investment. With linear costs, a balanced sorting (i.e., minimizing the variance in risk attitudes across groups) always produces an aggregate investment level that is at least as high as an unbalanced sorting (i.e., maximizing the variance in risk attitudes across groups). Under convex costs, however, identifying which sorting is optimal is more nuanced and depends on preference and cost parameters.     

Perseverance and suspense in tug-of-war

We study a tug-of-war game between two players using the lottery contest success function (CSF) and a quadratic cost (of effort) function. We construct a pure strategy symmetric Markov perfect equilibrium of this game, show that it is unique, and provide closed-form solutions for equilibrium strategies and values. In stark contrast to a model of tug-of-war with an all-pay auction CSF, players exert positive efforts until the very last battle in this equilibrium. We deliver a set of empirically appealing results on effort dynamics.     

Workplace civility training: understanding drivers of motivation to learn

Abstract

Training is recommended as an important human resource management (HRM) practice to prevent mistreatment and enhance civility, but little is known about what influences the effectiveness of civility training. The central aim of this study was to address how workgroup conditions influence employees' attitudes about civility training and motivation to learn, which previous research shows is a predictor of training outcomes. Predictors were posited to include psychological and workgroup climate for civility, and personal and ambient mistreatment experiences. These predictors were hypothesized to drive positive (training discrepancy) and negative (training skepticism) pre‐training attitudes, which in turn were expected to influence motivation to learn. Results suggest the influence of climate for civility and mistreatment experiences on motivation to learn is largely indirect via pre‐training attitudes. Training skepticism and training discrepancy have conflicting influences on motivation to learn. Findings provide an empirical basis for HRM professionals to maximize employee motivation to learn in their own civility interventions.     

科协系统开展代表履职培训的实践与思考

中国科协全国代表大会代表是中国科协联系凝聚广大科技工作者的重要纽带，通过培训提高代表履职能力和履职实效，是充分发挥代表作用、更好地服务科技工作者的一项基础性、长期性工作，已经成为科协系统联络服务代表工作的一项重要内容。本文系统总结了中国科协和地方科协开展的代表履职培训工作的基本情况，分析了培训特点、培训方式和存在的不足，在此基础上，提出科协系统加强代表履职培训的对策建议。