Are you really doing good things in your boss's eyes? Interactive effects of employee innovative work behavior and leader–member exchange on supervisory performance ratings

Organizations increasingly depend on employee efforts to innovate. However, the quality of relationships between leaders and employees may affect the recognition that employees receive for their innovative work behaviors. Drawing from a social cognition perspective, we tested a model in which leader–member exchange (LMX) moderates the impact of employee innovative work behavior on supervisory ratings of employee performance. Results from two multisource studies combining self, colleague, and supervisor ratings consistently showed that employees receive more favorable performance ratings by engaging in innovative work behavior when they have high‐quality LMX relationships. Moreover, we found that this interactive relationship was mediated by leader perceptions of innovative employee efforts, providing support for a moderated mediation model. Implications for the literatures on performance appraisal, LMX, and innovation are discussed.     

Analysis of the Efficacy of Public Spending on Research and Development in State Programs

This paper presents an approach to assessing the efficacy of public spending on research and development in state programs. At present, there is a need to develop a unified approach to the analysis and evaluation of the efficacy of such spending from the perspective of participants in state programs (federal executive bodies). The proposed approach does not allow evaluating the efficacy of public spending on the development of research areas assigned to the authors.     

Data-based mechanistic modelling and forecasting globally averaged surface temperature

The main objective of this paper it to model the dynamic relationship between global averaged measures of Total Radiative Forcing (RTF) and surface temperature, measured by the Global Temperature Anomaly (GTA), and then use this model to forecast the GTA. The analysis utilizes the Data-Based Mechanistic (DBM) approach to the modelling and forecasting where, in this application, the unobserved component model includes a novel hybrid Box-Jenkins stochastic model in which the relationship between RTF and GTA is based on a continuous time transfer function (differential equation) model. This model then provides the basis for short term, inter-annual to decadal, forecasting of the GTA, using a transfer function form of the Kalman Filter, which produces a good prediction of the ‘pause’ or ‘levelling’ in the temperature rise over the period 2000 to 2011. This derives in part from the effects of a quasi-periodic component that is modelled and forecast by a Dynamic Harmonic Regression (DHR) relationship and is shown to be correlated with the Atlantic Multidecadal Oscillation (AMO) index.     

The power of positivity? The influence of positive psychological capital language on crowdfunding performance

We extend the entrepreneurship literature to include positive psychological capital — an individual or organization's level of psychological resources consisting of hope, optimism, resilience, and confidence — as a salient signal in crowdfunding. We draw from the costless signaling literature to argue that positive psychological capital language usage enhances crowdfunding performance. We examine 1726 crowdfunding campaigns from Kickstarter, finding that entrepreneurs conveying positive psychological capital experience superior fundraising performance. Human capital moderates this relationship while social capital does not, suggesting that costly signals may, at times, enhance the influence of costless signals. Post hoc analyses suggest findings generalize across crowdfunding types, but not to IPOs.     

Kommunikationstheorien auf dem Prüfstand

In 2016, German corporations invested 33.5 billion euros in on-the-job-trainings. Communication trainings, especially those for executives, play an important part in on-the-job-trainings and adult education. This study examines how basics of communication and media studies are used in the praxis of communication trainings. We ask which theories of interpersonal communication are being used in communication trainings for executives and for what reasons trainers choose specific theories. The answer can help us understand how executives view communication processes and which criteria make a theory praticable in the eyes of practitioners.First, we define communication trainings as part of on-the-job training and give an overview of research regarding the use of theories in trainings. Research shows that theories play an important role in communication trainings, but that the trainings lack theoretical depths and complexity. The existing research stems mostly from linguistics; the perspective of communication and media studies is missing. In addition, none of the existing studies considers criteria for a practicable theory.In a second step, the canon of theories of interpersonal communication in communication and media studies is identified via a content analysis of seven textbooks and encyclopedias. Overall, these books present 38 theories of interpersonal communication, but only eight theories are presented in three or more books. These eight theories, among them Symbolic Interactionism (Mead), the Theory of Social Systems (Luhmann) and the Four-Ears-Model (Schulz von Thun), build the canon of theories of interpersonal communication in this study.This canon is the basis for the main part of our study. Sixteen communication trainers were interviewed, using the method of qualitative expert interview. The trainers answered questions regarding their professional background, typical courses of training, their goals in trainings, the role of theories in trainings, requirements of the executives being trained and the exchange between colleagues in the occupational field.Results show that trainers use about 15 to 20% of the training time to convey theoretical basics. The Four-Ears-Model by Schulz von Thun dominates the examined trainings. Scientists regard this communication-psychological model as being rather popular scientific. Still, every interviewed trainer uses it. This finding shows that most trainers regard communicational misunderstandings as a result of the four-dimensional character of a message (Who is the sender? Why is he talking to me like that? What are the facts about? What shall I do, think, feel based on the message?). The Communication Axioms by Watzlawick are used as the second most common approach.Apart from theories of interpersonal communication, the trainers mentioned several psychological methods and approaches with therapeutic traits, like Transaction Analysis (Berne) or Active Listening (Rogers).The explorative findings suggest that the trainers chose the theories they use—especially the Four-Ears-Model and Communication Axioms—because it is easy to interlock these theories and the praxis of communication trainings, because they are comprehensible and easy to use in examples, and because they show the relativity of communication processes. Moreover, trainers use theories to explain human behavior and the sources for misunderstandings.These criteria alone do not explain the trainers’ theory choices, though. It became clear in the interviews that factors of socialization, like advanced training for the trainers, play a major role in influencing their training content. Trainers teach the theories which they themselves learned in further education programs becoming a trainer, and they barely look out for new and/or alternative theories.We recommend that communication trainers look for other theories in communication and media studies, like the Symbolic Interactionism. This theory complies with the trainers’ criteria for good theories. Communication and media scholars on the other hand should work together with educational institutions and advanced training to improve the transfer of their theories into the praxis of communication trainings.     

Capital gains lock-in and governance choices

Differences in accrued gains and investors’ tax-sensitivity induce variation in a capital gains lock-in effect across mutual funds even for the same stock at the same time. Exploiting this variation, we show this effect influences funds’ governance decisions: higher capital gains decrease the likelihood a fund exits prior to contentious votes and increase the likelihood a fund votes against management. Consistent with tax motivation, these findings are concentrated among funds with tax-sensitive investors. Further, high aggregate capital gains across funds holding a stock predict a higher likelihood management loses a vote and a lower likelihood a contentious vote is proposed.     

Analyse der Marktaussichten von Biogasanlagen

Without guaranteed compensation, granted by the German Renewable Energy Sources Act (Erneuerbare Energien Gesetz/EEG), biogas plants compete with all other plant types on the market for electrical energy. However, exchange-based electricity products do not currently permit an economically viable operation of biogas plants owing to their cost situation.     

Navigating worlds of information: STEM literacy practices of experienced makers

Making as a design-centered learning activity has recently received significant attention in education. We use literacies—how individuals use representations to learn—to explore the STEM literacy practices of experienced designers and makers. Describing makers’ representational practices in STEM contexts can inform the design of literacy supports for young makers that can encourage their use of representations to connect STEM disciplines and design practices. We interviewed experienced makers to describe one literacy practice central to design: identifying, organizing, and integrating information. Makers enacted this practice within specific making processes—e.g., designing—with the purpose of sourcing and navigating information related to their chosen problems. The research supports efforts to bridge learning while making with learning in schools by positioning STEM literacies as central practices involved in the processes of designing and making.     

Preventives Versus Treatments Redux: Tighter Bounds on Distortions in Innovation Incentives with an Application to the Global Demand for HIV Pharmaceuticals

Kremer and Snyder (Q J Econ 130:1167–1239, 2015) show that demand curves for a preventive and treatment may have different shapes though they target the same disease, biasing the pharmaceutical manufacturer toward developing the lucrative rather than the socially desirable product. This paper tightens the theoretical bounds on the potential deadweight loss from such biases. Using a calibration of the global demand for HIV pharmaceuticals, we demonstrate the dramatically sharper analysis achievable with the new bounds, allowing us to pinpoint potential deadweight loss at 62% of the global gain from curing HIV. We use the calibration to perform policy counterfactuals, assessing welfare effects of government policies such as a subsidy, reference pricing, and price-discrimination ban. The fit of our calibration is good: we find that a hypothetical drug monopolist would price an HIV drug so high that only 4% of the infected population worldwide would purchase, matching actual drug prices and quantities in the early 2000s before subsidies in low-income countries ramped up.