Insider ownership and corporate performance: evidence from Germany

In this paper we address the question whether insider ownership affects corporate performance. Evidence from studies dealing with Anglo-Saxon countries is rather inconclusive, especially because results seem to be significantly affected by endogeneity. Economically, this is due to the fact that in these countries insider ownership seems to be mainly driven by management’s compensation contracts. We argue that Germany is different in this regard, as insider ownership is often related to family control, stock-based compensation is less widespread, and the market for corporate control used to be less developed. Starting from this presumption, our data allows an unbiased observation as to whether insider ownership affects firm performance. Using a pooled data set of 648 firm observations for the years 2003 and 1998, we find evidence for a positive and significant relationship between corporate performance—as measured by stock price performance, market-to-book ratio and return on assets—and insider ownership. This relationship seems to be rather robust, even if we account for potential endogeneity by applying a 2SLS regression approach. Furthermore, the results hold for a sub-sample of firms that did not have a stock-based compensation program in place. Moreover, we find outside block ownership as well as more concentrated insider ownership to have a positive impact on corporate performance. Overall, the results indicate that ownership structure might be an important variable explaining the long term value creation in the corporate sector.

Dinner with Bayes: On the revision of risk beliefs

Journal of Risk and Uncertainty - We study how people form and revise health risk beliefs based on food safety information. In an online experiment, subjects stated their perceived risk of...     

How Provider Selection and Management Contribute to Successful Innovation Outsourcing: An Empirical Study at Siemens

It is becoming increasingly common to involve external technology providers in developing new technologies and new products. Two important phases involved in working with technology vendors are vendor selection and vendor management. Because for both steps theory development of key decision guidelines is still immature, we use detailed case studies of 31 innovation outsourcing projects at Siemens to develop grounded theory on provider selection criteria and on project management success drivers. A selection criterion often associated with successful outsourcing is the provider's “track record” or previous experience. Our cases suggest that there is no standard “track record” for success but that a “match” between the client firm's outsourcing motivation and the provider's strengths appears to be a necessary condition for a successful outsourcing collaboration. As to the second phase—managing the vendor—we identify a number of operational project success drivers. There seems to be no universal checklist, but the most important drivers seem to be contingent on the type of vendor chosen and on the maturity of the technology. We compare five provider types—universities, competitors, customers, start‐up companies, and component suppliers—and find that some success drivers are common to all providers, while others are relevant only for certain types of provider. Moreover, drivers in the case of a mature technology are more focused on successful transfer to manufacturing than on development itself. Our findings offer guidelines for innovation managers on how to select innovation providers and how to manage them during the project.     

Technological change and sociocultural models in China: A case study of train commuters in Beijing

ABSTRACT

China’s mobility turn has created the world’s largest public rail system, contributing extensively to citizens’ economic, social, and spatial mobility. Concurrently, this technological transformation has introduced many opportunities for individuation, which could potentially challenge the social, collectivistic, and Confucian foundations of China’s sociocultural and political ideology. While the notion that ‘mobility produces culture’ is readily accepted, research on train mobility in China is rare. In this study, we use Albert Bandura’s Model of Triadic Reciprocal Causation to conceptualize mobility as agency. We employ Hermeneutic Content Analysis, a mixed methods framework, to study how this rapidly evolving mobility environment connects to the lives of 31 regular train users living in Beijing. Studying agency in China enables us to systematize the sociocultural models within which mobility practices are embedded and how they manifest. We find that our interviewees embed agentive practices in a cultural model that is intertwined with collectivistic aspirations of the country. Technological developments are thus integrated into existing sociocultural models and political expectations, contradicting existing debates on the fracturing impact of disruptive technologies.     

Bewusster Umgang mit Übertragungsphänomenen als Management Soft Skill

The author presents the psychological concept of transference and it’s relevance for daily management life in companies. This aspect can above all be found in hierarchical working relationships were the transference of unsolved and repressed conflicts of collaborators coming from their personal biography appear rather frequently. But also the dynamics within teams may be influenced by transference phenomena. Explanation is given how these transference-based conflicts can develop counterproductive dynamics. Based on three case examples the author illustrates these dynamics. He finally comes to the conclusion that the knowledge of the transference phenomena and how to deal with them consciously is an important management soft skill that improves manager’s and leader’s efficiency.     

Supply chain relationship quality and its impact on firm performance

Abstract

This paper examines the impact of supply chain relationship quality (SCRQ) on firm performance (FP) through the mediators of supply chain management processes (SCMP) and supply chain performance (SCP). In the literature, these linkages have been examined separately; in contrast, this study takes a holistic perspective on the antecedents of FP. The model was tested using survey data from manufacturing companies. Variance-based structural equation modelling revealed that both SCMP and SCP lead to FP, unlike SCRQ. On the other hand, SCRQ affects SCMP. Drawing on the resource-based view, consistency in SCRQ can lead to not only efficient and effective supply chain management but also improvements in FP and SCP. This research has practical implications, providing supply chain decision makers with insights on enhancing FP. Supply chain decision makers will be able to benefit from the findings of our study by improving supply chain relationships with supply chain members and ensuring FP. This research also highlights how effective management of SCRQ, SCMP and SCP can provide better FP and a competitive advantage.     

Developing strategic alliances: A conceptual framework for successful co-operation

Due to dramatically increasing global competition and in the light of Europe '92, companies have to concentrate on their particular competitive advantages and on those business activities they know well. The market, however, asks for an ever increasing range of products and services. ‘System deals’ include — along with a product — attractive sideline services, like project management, system implementation or supply of related products. In many cases, entering these markets or achieving technological breakthroughs is only possible with a strong partner.These recent developments forced corporations to consider alternative company structures. The failure of many strategic alliances, however, has clearly shown that understanding the development process of the alliance is critical for success. Christoph Bronder and Rudolf Pritzl present a structured procedure for developing strategic alliances that outlines four critical phases: strategic decision for an alliance, alliance configuration, partner selection, and alliance management.     

Rank-Optimal Weighting or “How to be Best in the OECD Better Life Index?”

We present a method of rank-optimal weighting which can be used to explore the best possible position of a subject in a ranking based on a composite indicator by means of a mathematical optimization problem. As an example, we explore the dataset of the OECD Better Life Index and compute for each country a weight vector which brings it as far up in the ranking as possible with the greatest advance of the immediate rivals. The method is able to answer the question “What is the best possible rank a country can achieve with a given set of weighted indicators?” Typically, weights in composite indicators are justified normatively and not empirically. Our approach helps to give bounds on what is achievable by such normative judgments from a purely output-oriented and strongly competitive perspective. The method can serve as a basis for exact bounds in sensitivity analysis focused on ranking positions. In the OECD Better Life Index data we find that 19 out the 36 countries in the OECD Better Life Index 2014 can be brought to the top of the ranking by specific weights. We give a table of weights for each country which brings it to its highest possible position. Many countries achieve their best rank by focusing on their strong dimensions and setting the weights of many others to zero. Although setting dimensions to zero is possible in the OECD’s online tool, this contradicts the idea of better life being multidimensional in essence. We discuss modifications of the optimization problem which could take this into account, e.g. by allowing only a minimal weight of one. Methods to find rank-optimal weights can be useful for various multidimensional datasets like the ones used to rank universities or employers.