The Relevance of Nationality and Industry for Stakeholder Salience: An Investigation Through Integrated Reports

The aim of this research is to investigate the web of business-stakeholder relationships emerging from first integrated reports. Drawn from the stakeholder salience theory, the analysis focuses on some factors that may cause specific stakeholders to be crucial for some organizations and their ability to create value over time. More precisely, findings highlight the importance of industry membership, while entities’ nationality seems not to be a differentiating element. This study contributes to the corporate disclosure literature by analyzing an emerging reporting tool, the integrated report, and demonstrating that the link between some business characteristics and stakeholder salience seems fundamental for the representation of the impact of corporate social and environmental responsibilities on the economic performance. From a practical point of view, the impact of industry membership on corporate disclosures encourages the drafting of differentiated reporting standards across sectors, in order to improve comparability, materiality, and reliability of information.     

Alle Sozialabgaben steuerlich berücksichtigen statt Solidaritätszuschlag abschaffen

The abolition of the German solidarity surcharge would favour higher incomes much more than lower incomes. Tax deductibility of all social contributions, however, would concentrate relief on average incomes, which are heavily loaded by social contributions. In addition, a monthly social security allowance of €150 could be introduced gradually in a budget-neutral manner.     

Der deutsche Konjunkturzyklus: Vermessung und Zusammenhang mit Investitionen

On average, the German business cycle is four to five years long. The cycle is quite pronounced and explains about 27 % of the variation in year on year GDP growth. For fluctuations with a duration of more than two years, there is a significant unidirectional Granger causality running from GDP growth to investment. A closer look reveals two things: first of all, that the Granger causality runs from GDP to investment in equipment and machinery, not investment in construction, and second, that it is lagged foreign demand (exports) rather than domestic demand that has predictive power for investment.     

How does local partners network embeddedness affect international joint venture survival in different subnational contexts?

Do local partners' network attributes affect the survival of high-tech international joint ventures (IJV)? How does the effect of network attributes vary in different subnational institutional environments? While the classic economic explanation for IJV formation and subsequent performance draws from the resource-based view (RBV), we add the relational dimension to explain that IJV survival may be affected by local partners’ relation-specific assets within the local network. We test the effect of the local partners’ network attributes as calculated by UCINET (centrality, network status, and structural hole position) on IJV survival. We additionally assert that this relationship is moderated by subnational institutional heterogeneity. Using our sample of 125 IJV dyadic pairs of US multinational enterprises (MNEs) operating in high-tech industries and their local partners in China, we find partial support for our claims.     

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.     

Interval-Valued Intuitionistic Fuzzy WASPAS Method: Application in Reservoir Flood Control Management Policy

Interval-valued intuitionistic fuzzy sets (IVIFSs) are very flexible tool to cope with the uncertainty arises in multi-criteria decision making (MCDM) problems. In recent times, MCDM problems with interval-valued intuitionistic fuzzy information have achieved more attention from researchers in different areas and consequently, several MCDM methods have been extended for IVIFSs. In this paper, a novel approach based on WASPAS method is developed under IVIFSs. The developed method is based on the operators of IVIFSs, some amendments in the classical WASPAS method and a new process for calculation of criteria and decision experts’ weights. In process for calculating weights, new procedures is propoesd to compute the decision experts’ weights and criteria weights based on interval-valued intuitionistic fuzzy information measures (entropy, divergence and similarity measures) to achieve more realistic weights. Innovative information measures are developed based on the exponential function for IVIFSs to determine the weights of the criteria and decision experts. Since the uncertainty is an unavoidable feature of MCDM problems, the developed method can be a constructive tool for decision-making in an uncertain environment. Further, an uncertain decision making problem of reservoir flood control management policy is implemented with interval-valued intuitionistic fuzzy information, which reveals the effectiveness and reliability of the proposed IVIF-WASPAS method. To validate the result, comparative analysis with existing methods and sensitivity analysis are presented under interval-valued intuitionistic fuzzy environment.     

Under the AEGIS of knowledge-intensive entrepreneurship: employment growth and gender of founders among European firms

An increasing number of theoretical and empirical analyses address the role of innovation as one of the main sources of firm growth. More recently, studies have looked at the role of gender diversity as a possible determinant of innovation and entrepreneurial performance. However, the relationship between gender and employment growth—a dimension of entrepreneurial performance—still remains unexplored to a large degree. This paper contributes to the empirical literature on gender and entrepreneurial performance in several ways. First, it examines the role played by both innovation and gender ownership as determinants of employment growth rates of young, knowledge-intensive entrepreneurial (KIE) firms. Second, it investigates the indirect impact of contributing factors—such as the characteristics of the market, knowledge-based capital, and human capital—on employment growth. And third, it relies on a rich new cross-sectional data set on young, KIE firms across European Union (EU) countries. The data set contains information not only on the gender of the firm’s founders but also on the market environment, business strategy, and innovative and economic performance of firms.     

Tracing design students’ affective journeys through reflective writing

Affection in learning embraces emotions, attitudes, values and beliefs that emerge during the learning process, and it is a vital and hidden element of learning. Studies focusing on affective, or emotional, aspects of design learning in the context of design education underscore the significance of the affective process and inform us of the connection between the creative dimension and emotions during a design activity. To this point, this paper addresses the following research question: to what extent does reflective writing disclose design students’ affective journeys throughout a semester? An empirical study is conducted to observe first-year industrial design students’ affective processes during a semester using their structured reflective diaries. The longitudinal study results show that the students exhibit certain tendencies in terms of the affective processes throughout a semester. The findings of this study are discussed in reference to peak points, anomalies and tendencies of the affective processes observed based on excerpts from the diaries. It is concluded that affective responses in design learning are multidimensional and wide-ranging.