Die Zukunft der Kommunikationsberufe

Ohne Zusammenfassung     

Uncertainty,supply risk management and their impact on performance

The purpose of this research is to identify the antecedents of supply risk management performance. Speed consortium benchmarking is used to explore the concepts of supply risk monitoring and mitigation. In addition, a survey yielding 207 responses is used to test our hypothesized antecedents of supply risk management performance. Findings indicate that the transaction cost constructs environmental- and behavioral uncertainty have a negative effect on supply risk management performance. In addition, supply risk mitigation and supply risk management process maturity positively influence supply risk management performance, the latter having the strongest influence. Furthermore, supply risk monitoring, supply risk mitigation and supply risk management process maturity all moderate the effect of environmental uncertainty, whereas only risk monitoring has an influence on the relationship between behavioral uncertainty and supply risk management performance. This research identified not only the antecedents of supply risk management performance, but also the moderating effect of different supply risk management principles on the relation between uncertainty and supply risk management performance. Most importantly, our study shows the relevance of developing general supply risk management structures and capabilities (i.e. supply risk management process maturity) in order to manage supply risks successfully. Our findings indicate that even more important than the proper selection of individual risk monitoring and mitigation strategies is the implementation of a risk management process.     

Matching As An Econometric Evaluation Estimator

This paper develops the method of matching as an econometric evaluation estimator. A rigorous distribution theory for kernel-based matching is presented. The method of matching is extended to more general conditions than the ones assumed in the statistical literature on the topic. We focus on the method of propensity score matching and show that it is not necessarily better, in the sense of reducing the variance of the resulting estimator, to use the propensity score method even if propensity score is known. We extend the statistical literature on the propensity score by considering the case when it is estimated both parametrically and nonparametrically. We examine the benefits of separability and exclusion restrictions in improving the efficiency of the estimator. Our methods also apply to the econometric selection bias estimator.     

Predicting market orientation through internal market orientation as culture and behaviour: an empirical application in Spanish hotels

The aim of this study is to analyse how the internal market orientation, considered from a dual perspective, cultural and behavioural, affects the development of external market-oriented behaviours by improving the attitudinal results (affective commitment and job satisfaction) of the internal customers. An empirical study was carried out, based on the perceptions of 68 managers and 296 supervisors at four- and five-star hotels in Gran Canaria (Canary Islands, Spain). The findings show that (1) the internal market orientation (IMO) has a positive influence on the effective development of market orientation behaviours in managers and supervisors; (2) the IMO has a positive influence on the affective commitment and job satisfaction of hotel managers, but not supervisors; and (3) greater affective commitment and job satisfaction have no significant effect on market orientation behaviours in hotel managers or in supervisors. Based on the study results, the paper concludes with a discussion and implications for practitioners.     

Policy Instruments for Groundwater Management in the Netherlands

In the Netherlands agriculture andnature have conflicting interests with respectto groundwater management. Insight into thesuitability of policy instruments to achieveoptimal groundwater level and extractionmanagement in the Netherlands is, however,missing. In this paper the suitability ofpolicy instruments for groundwater managementis studied. Changes in the institutionalenvironment and voluntary agreements seem to bemore suitable for groundwater level managementthan economic instruments. The currenthistorical groundwater extraction rightssystems together with the low groundwaterprices encourage low-value agriculturalgroundwater usage, whereas sprinkling bans andirrigation scheduling currently aim to reducelow-value use of groundwater. These extractioninstruments are less efficient than a systemthat considers externalities in the price ofwater or diverts water away from agriculturewhile encouraging trading.     

RETRACTED ARTICLE: Prediction of economic growth by extreme learning approach based on science and technology transfer

The purpose of this research is to develop and apply the extreme learning machine (ELM) to forecast gross domestic product (GDP) growth rate. Economic growth may be developed on the basis on combination of different factors. In this investigation was analyzed the economic growth prediction based on the science and technology transfer. The main goal was to analyze the influence of number of granted European patents on the economic growth by field of technology. GDP was used as economic growth indicator. The ELM results are compared with genetic programming (GP) and artificial neural network (ANN). The reliability of the computational models were accessed based on simulation results and using several statistical indicators. Coefficient of determination for ELM method is 0.9841, for ANN method it is 0.7956 and for the GP method it is 0.7561. Based upon simulation results, it is demonstrated that ELM can be utilized effectively in applications of GDP forecasting.

     

Use of social networks in banking: a study in the Czech Republic

Social networks are becoming more and more important nowadays. Apart from regular users of the Internet, companies have started to use them in their business. Their potential is that a great number of people, future clients of big companies, use them on a daily basis. Thus, the aim of this article is to analyse the use of social networks in the banking sector of the Czech Republic, particularly with respect to customer support. The methods of this study include common data analysis and professional analysis. Common data analysis consists of the evaluation of public data from social networks and web pages of the selected bank institutions. The professional analysis is conducted by paid professional analytical tools that provide more detailed statistics. The findings of the study show that social networks are now well-established tools for the Czech banks to attract both their current and potential clients. The Czech banks seem to care about their clients by trying to meet their needs. Customer care and services provided, however, differ with type of bank.