While International Entrepreneurship has attracted scholars' attention during the last two decades, the impact cognitive aspects exert has been studied on cursory level only. The purpose of this paper was to apply the Theory of Planned Behavior (TPB) to the very field of International Entrepreneurship in order to examine whether this theory contributes to clarify what influences Small and Medium-sized Enterprises' (SME) decision-makers' intention-an important cognitive antecedent to behavior-to play an active part in internationalization. In particular, it had to be clarified whether or not International Entrepreneurship-due to its contextual specificities-deserves to be extended by further elements, i.e. experience and knowledge. Based on more than 100 responses from German SME executives, the study yielded several interesting results. First, TPB indeed helps explain how intentions to actively participate in international business are built. Second, an extension of the theory's basic model seems to make sense, probably due to the specificities of international entrepreneurial behavior. As for the extensions, direct and moderating effects have been observed. Furthermore, cognitive elements seem to be key entrepreneurial resources which serve as sort of enablers. From these results several conclusions can be drawn. Cognitive aspects are a promising starting point for understanding decision-making in SME. Thus, the intersection of international entrepreneurship and entrepreneurial cognition deserves further attention-several examples for possible future studies are presented. Policies supporting SME should be extended: pure resource-based approaches seem to be insufficient. Furthermore, entrepreneurship courses and curricula should reflect the relevance of cognitive aspects.

A single-layered NMC/graphite pouch cell is investigated by means of differential local potential measurements during various operation scenarios. 44 tabs in total allow for a highly resolved potential measurement along the electrodes whilst the single layer configuration guarantees the absence of superimposed thermal gradients. By applying a multi-dimensional model framework to this cell, the current density and SOC distribution are analyzed quantitatively. The study is performed for four C-rates (0.1C, 0.5C, 1C, 2C) at three temperatures (5 • C, 25 • C, 40 • C). The maximum potential drop as well the corresponding SOC deviation are characterized.The results indicate that cell inhomogeneity is positively coupled to temperature, i.e. the lower the temperature, the more uniform the electrodes will be utilized. Within the past decades, demand for lithium-ion batteries in mobile applications has significantly increased. Due to their well proven performance as well as their stability in long-term usage, lithium-ion batteries became the technology of choice for electrochemical energy storage devices.1,2 Still, the specific energy density as well as cycle life are constantly being optimized by either commercializing new active materials, electrolytes and additives or by reducing the fraction of non-active parts within a battery. Often, this corresponds to thicker electrodes or larger form factors leading to capacities of up to 100 Ah per cell. In these large format cells, severe gradients in current density and temperature distribution can occur along the electrode stack, 3-9 which might provoke a performance loss during operation due to inhomogeneous utilization. Also non-properly adapted thermal conditioning can have a crucial impact on the performance of larger cells. [10][11][12] Modeling of internal distributions of potential and temperature along the electrodes is quite challenging, since even to calculate only a few cycles, a lot of computational resources are required for fully resolved models. In literature, there are many examples for spatially resolved multi-dimensional modeling approaches, 8,9,[13][14][15][16] which aim at representing the cell's internal behavior in terms of potential, current density, state of charge (SOC) and temperature distribution. Unfortunately, all of these examples lack a detailed, i.e. spatially resolved experimental validation, which is capable of tracking internal variables instead of measuring the surface temperature at a few spots and considering the overall battery's terminal voltage. Also, only a few examples of direct measurements of the internal current density distribution were published so far. Zhang et al.6,7 built a specific LFP/graphite prototype cell for this purpose. A segmented cathode was used for analyzing the current distribution during discharge at varying C-rates and temperatures. This setup allows for a precise monitoring of the current of each electrode element individually. Large deviations in SOC of up to several percent were identified during the process...

Studies show that many students struggle with properly organizing their academic activities; what makes things even worse is that up to 90% of students are at least part-time procrastinators. In order to clarify how these students could be supported, the article at hand deals with the influences and possible benefits of implementation intentions in an academic learning context and substantiates the literature discussion with data collected among students. Aiming at studying the antecedents of academic performance from a cognitive perspective, the research complements an extended form of the Theory of Planned Behaviour by integrating procrastination and experience. Unlike many other studies, this paper does not focus on reasons for nor different forms of procrastination, but rather develops a comprehensive framework for understanding academic learning. A structural equation modelling approach is applied for this purpose using an empirical data base. For the outcome of this research different hypotheses are investigated especially in reference to implementation intentions. In the majority of cases the theories presented during the literature review can be substantiated with the empirical data used for the study. Key findings are the significant influences of goal intentions, as well as experience, and their positive effect on implementation intentions. Furthermore, the negative influence of procrastination is underlined by the results of the paper and identified as a major problem for college students. Other findings of the paper are the effects of subjective norms and PBC (Perceived Behaviour Control) on the formation of goal intentions. Nevertheless, the study brings up several further questions and identifies areas where research should be deepened, that is behaviour itself.

Kurzfassung Der überragende Nutzen der Simulation für die strategische und taktische Produktionsplanung ist weithin anerkannt. Gerade Großunternehmen bedienen sich regelmäßig dieses Instruments, dort ist es vielfach in integrierte Konzepte der Digitalen Fabrik eingebunden, während kleine und mittelständische Unternehmen hier nach wie vor Defizite haben. Die Simulation kann aber auch für die Feinplanung der Produktion bzw. Montage eingesetzt werden und hier ein sehr wichtiges Tool darstellen. Bei geeigneter Verknüpfung mit anderen Applikationen – geeignete Schnittstellen sind bei vielen Tools vorhanden – kann hier ein sehr großer Automatisierungsgrad erreicht werden, sodass eine solche Lösung trotz nicht geringer Einstiegskosten sehr effizient sein kann. Damit bietet sich auch für mittelständische Unternehmen ein Einstieg in die Digitale Fabrik und zusätzlich die Möglichkeit, die erforderlichen Planungsprozesse über den gesamten Lebenszyklus eines Produktionsbetriebs ganzheitlich abzubilden.

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