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The purpose of this paper is to pose questions about quality indicators, describe the fields of reference of communicators and the instruments currently being used in quality assurance of journalism, especially in Germany.

Due to their relevance to the questions being posed in media ethics, the paper deals with the meaning‐conferring functions of media offerings and with reasonable expectations toward media courses that prepare young communicators for their field of occupation.

This paper reveals that a more in‐depth involvement with constructivist epistemologies can impart to the media students a particular understanding of the dimensions of ethics, norms, law and the associated sets of rules.

This paper is focusing on the latently present, meaning‐generating aspects of the media, just not discussing them in terms of “effects” including their measurability, but in terms of reception and epistemology, underscoring the responsibility of all related communicators.

This paper aims to examine whether in old industrial regions, the trajectory of clusters follows that of their corresponding industry or deviates from it and which are the factors that account for cluster evolution. This paper deals with the issue of how established clusters either renew or transform themselves in such regions and how they adapt to changes in their corresponding international industries.

This research paper draws from in-depth case studies on six industrial clusters, takes a longitudinal perspective and uses a multi-level and qualitative analysis. Based on existing literature, the paper suggests and exploratory analytical framework with four alternative scenarios for cluster evolution and three broad factors: cluster knowledge base, social capital at cluster and region-level and public policies.

Clusters do not always follow the life cycle of its dominant industry. The paper clearly shows a diversity of cluster evolution across clusters and even within clusters (at subcluster level). This study suggests that cluster knowledge diversity and heterogeneity allow to broaden the scope of evolutionary trajectories available; the same goes for social capital at cluster and region levels.

The main limitation of this paper lies in its qualitative approach that makes its conclusions more suggestive than conclusive. In any case, further research on other Basque clusters may corroborate or question its findings.

The paper offers an empirical and longitudinal study on cluster evolution, very much needed to the ongoing theoretical discussion on this issue. So far, there are very few empirical studies on cluster evolution with this perspective. At the same time, it presents a theoretical framework to analyse diversity of cluster evolution in old industrial regions that builds on Menzel and Fornah’s (2010) model.

The purpose of this study is to examine the subnational regional dimension of exports by small and medium-sized enterprises (SMEs) in India, one of the prominent emerging economies or “rising powers”.

To understand the forces driving the variation in subnational region’s share in international business of rising power SMEs, an analytical conceptual framework on regional export advantage (REA) was formulated based on the review of relevant theoretical and empirical literature. The model was estimated for Indian states using the most appropriate and recently developed econometric technique of fractional logit model.

The paper provides evidence that the emergence of exports by rising Indian power SMEs is geographically limited to a few select regions/states. Southern Indian states alone accounted for half of exports from SMEs in the organized manufacturing sector during 2000-2008, followed by Western India. The REA analysis has brought to the fore that regional stock of technological knowledge, availability of skill, port facilities, urban areas and foreign direct investment stocks are crucial factors determining states’ share in SME exports across technological subcategories. However, the size and sophistication of local demand continue to influence states’ efforts at enhancing exports by SMEs, at least those belonging to the medium- and high-technology categories.

The proposed empirical framework could be extended to include institutional and political economy factors. Its application to subnational regional shares in total exports by all firms taking into account fixed effects for regions may be another feasible line of future research.

Empirical findings recognize that appropriate strategies by subnational policymakers are important for a region to achieve a higher contribution in national SME exports. Subnational policy measures aimed at upgradation of regional technological assets and skill base through the promotion of technology clusters and R & D of local firms, facilitation and creation of better industry-university linkages and investments in education and training institution may help the states to gain higher export advantage.

This paper provides new analytics and insights into the role of subnational spaces in the internationalization of rising power SMEs from India and serves to contribute to the extant international business research that is predominantly occupied with “nation” as the unit of location.

The purpose of this paper is to explore how insights from economic geography, which are typically explanatory or directed at policy prescription, might be utilized to provide managerial insight at firm level into the processes of and conditions for tacit knowledge transfer.

This is a theoretical paper. The approach used is to take insights from economic geography, in particular a spatial analysis of tacit knowledge transfer by Gertler, and to infer their implications for operations strategy, using a well‐known framework by Slack and Lewis.

The review section finds that the learning organization and operations management literatures are at present poorly connected and in turn, that neither adequately take account of the spatiality of organizations, particularly important when tacit knowledge and organizational routines are emphasized. The synthesis provides an initial suggestion as to operations strategy options, given this spatial perspective.

The review is interdisciplinary: this is its strength, but also its weakness, in that it is necessarily selective in each of the fields it draws on. It provokes further reflection and, hopefully, empirical work to test out aspects of the framework suggested.

The paper reminds managers that “knowledge” and “learning” do not exist in the ether, but are grounded to a large extent in what organizations do in and around their operations. Also suggests that the micro‐spatiality of operations in transnational organizations cannot be sidelined in strategic abstractions but are, in fact, central to how organizations work and learn, and why they exist.

A vector autoregression model estimated on US data before and after 1980 documents systematic differences in the response of short- and long-term interest rates, corporate bond spreads and durable spending to news total factor productivity shocks. Interest rates across the maturity spectrum broadly increase in the pre-1980s and broadly decline in the post-1980s. Corporate bond spreads decline significantly, and durable spending rises significantly in the post-1980 period while the opposite short-run response is observed in the pre-1980 period. Measuring expectations of future monetary policy rates conditional on a news shock suggests that the Federal Reserve has adopted a restrictive stance before the 1980s with the goal of retaining control over inflation while adopting a neutral/accommodative stance in the post-1980 period.

This chapter aims to enrich knowledge about cluster initiatives acting as intermediaries primarily between members in a cluster or in regional context. This is a practically oriented manuscript written to contribute to refinement of existing policies by proposing recommendations based on recent empirical studies regarding funding, actors’ and activities’ content, as well as cluster initiatives’ assessment. It is proposed that public support should be balanced, targeting new as well as established, well-functioning cluster initiatives. Furthermore, regional authorities should encourage multifaceted collaboration (e.g., Triple Helix), stimulate variation in activities to maximize the benefit of cluster initiatives as well as define and communicate success factors that make it possible to evaluate cluster initiatives from a holistic perspective. These recommendations are primary aimed for regional authorities and reflect a bottom-up perspective where both logic of initiatives’ actions and their development are captured. Yet, even national authorities can make use of the recommendations in this chapter to improve governance of cluster initiatives and to determine further directions of regional policies.

Pledging collateral to secure loans is a prominent feature in financing contracts around the world. Existing theories disagree on why borrowers pledge collateral. It is even more challenging to understand why in some countries collateral coverage exceeds, for example, 300% of the value of a loan. This study looks at the association between collateral coverage and country-level governance and various institutional proxies. It investigates the economic implications of steep collateral coverage and sketches policy options to lower ex-ante asymmetric information and ex-post agency problems. Within this framework, should a lender collect the debt forcibly on default and liquidated assets fetch prices below outstanding loan values, the lender’s loss is covered through credit insurance, which would significantly reduce the need for steep collateral coverage. This proposal may increase level of private credit, investment and growth; particularly, in a number of developing countries where collateral spread is the main inhibitor of finance.

This study aimed to know the effect of cross-sectional risk, which comprises business-specific risk and stock market volatility, as a variable for estimating macroeconomic risk in Indonesia. This study observes public companies in Indonesia and Indonesian macroeconomic data from 2004 to 2020. In this study, the author uses term spread as the dependent variable that reflects macroeconomic risk. The cross-sectional risk comprises financial friction (FF), cash flow (CF), debt–service ratio, and stock market volatility as independent variables. By using the Autoregressive Distributed Lag (ARDL) Model method, this study shows that business-specific and stock market risk can estimate macroeconomic risk, so that it becomes an early signal of economic shock, such as recession or high inflation, in the future. The model in this study also examines the cross-sectional risk relationship with other macroeconomic indicators, such as the Consumer Confidence Index (CCI), money supply (M0), and Indonesia’s trade balance (TB).