An institutional perspective of public policy and network effects in the renewable energy industry: enablers or disablers of entrepreneurial behaviour and innovation?

This study extends theory on the effects of public policies stimulating technology demand and of industry network ties on firm-level entrepreneurial behaviour. We take an institutional perspective to develop a theoretical model examining the mechanisms through which public policies, regulatory uncertainty, and industry network ties affect firm-level entrepreneurial decision-making processes and the ability to introduce highly innovative products and to sustain superior performance. We focus on firm-level effects, which enables the study of the tension between institutional pressures of homogeneity and competitive pressures of heterogeneity for entrepreneurial decision-making processes in environments characterized by policy-induced market demands. To test our hypotheses, we draw on data from a large-scale survey among German renewable energy firms. Our results show that public policies can constrain firm innovativeness and risk-taking behaviour because they steer firms towards a more conservative attitude and discourage the pursuit of high-risk innovation projects. However, firms can counteract these influences and enhance their innovativeness by maintaining close network ties with research associations as we find that innovativeness and a highly innovative product portfolio are key success factors. In summary, these findings provide important implications for the study of public policy effects, industry network ties and entrepreneurial behaviour.     

Technology adoption in markets with network effects: Theory and experimental evidence

We examine a technology-adoption game with network effects in which coordination on either technology A or technology B constitutes a Nash equilibrium. Coordination on technology B is assumed to be payoff dominant. We define a technology’s critical mass as the minimal share of users, which is necessary to make the choice of this technology the best response for any remaining user. We show that the technology with the lower critical mass implies risk dominance and selection by the maximin criterion. We present experimental evidence that both payoff dominance and risk dominance explain participants’ choices in the technology-adoption game. The relative riskiness of a technology can be proxied using either technologies’ critical masses or stand-alone values absent any network effects.     

Mixed‐frequency models with moving‐average components

Temporal aggregation in general introduces a moving‐average (MA) component in the aggregated model. A similar feature emerges when not all but only a few variables are aggregated, which generates a mixed‐frequency (MF) model. The MA component is generally neglected, likely to preserve the possibility of ordinary least squares estimation, but the consequences have never been properly studied in the MF context. In this paper we show, analytically, in Monte Carlo simulations and in a forecasting application on US macroeconomic variables, the relevance of considering the MA component in MF mixed‐data sampling (MIDAS) and unrestricted MIDAS models (MIDAS–autoregressive moving average (ARMA) and UMIDAS‐ARMA). Specifically, the simulation results indicate that the short‐term forecasting performance of MIDAS‐ARMA and UMIDAS‐ARMA are better than that of, respectively, MIDAS and UMIDAS. The empirical applications on nowcasting US gross domestic product (GDP) growth, investment growth, and GDP deflator inflation confirm this ranking. Moreover, in both simulation and empirical results, MIDAS‐ARMA is better than UMIDAS‐ARMA.     

Stuck at a workplace: What’s work control,demands and learning got to do with it? A longitudinal multilevel study on Swedish permanent employees in situations of ‘workplace locked-in’

Abstract

Whilst health consequences of being locked-in at the workplace have been documented in several research studies, it is largely unknown how work characteristics and their changes over time relate to risks for becoming locked-in at a certain workplace. Accordingly, this paper studied how perceived control, learning opportunities and quantitative demands at work associate with workplace-locked-in (WPLI). The study included permanent employees who participated in the Swedish Longitudinal Occupational Survey of Health (SLOSH) study in wave 3 through 5 (n = 2918 individuals; n = 7460 observations). Results from multi-level analysis show that there was significant individual variation in WPLI changes over time, even though on average, WPLI decreased slightly. Differences in work characteristics between individuals (L2) and across time (L1) associated significantly with WPLI: higher levels of job control and learning opportunities related to lower odds ratios for WPLI, whereas higher quantitative job demands associated with higher odds ratios of WPLI. Moreover, differences in quantitative job demands, number of job changes and educational achievements explained the individual variations of WPLI developments over time. The result shows that WPLI can – to some extent – be prevented or reduced through good work design, and implications for HR managers and organizations are discussed.     

Looking for a safe haven after fancy thrills: a psychometric analysis of risk perception in alpine tourist destinations

Visitors’ risk perceptions have been found to influence the on‐site behaviour of tourists and their intention to return to a destination or to recommend it to others. The present study analyses the perception of tourism risks in the Tyrol, Austria. Building on the psychometric paradigm, participants (N = 207) assessed 15 vacation risks on nine risk characteristics that are derived from psychometric research and completed with characteristics relevant in a tourism context. Findings suggest that additionally to managing the most likely risks, alpine destinations should be prepared to cope with worst case scenarios such as ‘potable water poisoning’, ‘food poisoning’, ‘breaking of an embankment dam’, ‘rock fall on a village’, ‘cable car accident’ and ‘terrorist attack’. Considering these rather low‐probability risks is of decisive importance since such risks are especially prone to evoke public outrage if they – against all expectations – result in damaging events.