Inter-firm collaboration in new product development in Chinese pharmaceutical companies

High-tech firms increasingly rely on inter-firm collaboration (IFC) in new product development (NPD). While there is a growing research interest in exploring the economic rationale of IFC through the transaction cost economics (TCE) and the resource synergy of IFC through the resource-based view of the firm (RBV), little attention has been given to the institution-based view (IBV) that also has important implications for firms’ choice of IFC. In particular, how national institutional environment affects IFC in the NPD process remains under-researched. This study aims to contribute to the literature by extending our understanding of the role of IFC in firms’ NPD process, taking into account transactional, resource, and institutional factors. Based on a case study of two firms: a state-owned and a private pharmaceutical firm in China, our research identifies three key forms of IFC, which are dynamic at different stages of NPD and contingent upon an array of institutional, resource, and transactional rationales underpinning firms’ choice of different forms of IFC. Our study is the first one that investigates the role of IFC in the NPD process bringing together the IBV, RBV, and TCE perspectives.     

Migration,Friendship Ties,and Cultural Assimilation

We study immigrant assimilation by analyzing whether friendship with natives is a measure of cultural assimilation, and by investigating the formation of social ties. Using the German Socio‐Economic Panel, we find that immigrants with a German friend are more similar to natives than those without German friends, along several important dimensions, including concerns about the economy, an interest in politics, and a host of policy issues. Turning to friendship acquisition, we find that becoming employed, time spent in the host country, the birth of a child, residential mobility, and additional education acquired in the host country are significant drivers of social network variation.     

A principal component model for forecasting age- and sex-specific survival probabilities in Western Europe

The assessment of future mortality is of high importance in many areas where the allocation of future resources has to be planned in time, especially in social security and private life insurance. This contribution represents an extension of the classic forecasting approaches of Bell–Monsell and Lee–Carter. Based on a forecast of the first two principal components, age- and sex-specific survival probabilities for 18 Western European countries are predicted simultaneously until the year 2070. In addition to the correlations in the mortality trends between the age groups and the genders, international trends in mortality are captured as well. A major improvement in the classic Lee–Carter models is the adequate quantification of the uncertainty associated with the whole system of variables by stochastic simulation of all remaining principal components with simple time series models. The model’s easy applicability to further analyses is illustrated by forecasting the median life span as well as the resulting Gender Gap for Germany, France, and Italy.     

The Empire Strikes Back: Digital Control of Unfair Terms of Online Services

The authors argue that it is possible to partly automate the process of abstract control of fairness of clauses in online consumer contracts. The authors present a theoretical and empirical argument for this claim, including a brief presentation of the software they have designed. This type of automation would not replace human lawyers but would assist them and make their work more effective and efficient. Policy makers should direct their attention to the potential of using algorithmic techniques in enforcing the law regarding unfair contractual terms, and to facilitating research on and ultimately implementing such technologies.     

Variable selection for varying coefficient models with measurement errors

This paper focuses on variable selections for varying coefficient models when some covariates are measured with errors. We present a bias-corrected variable selection procedure by combining basis function approximations with shrinkage estimations. With appropriate selection of the tuning parameters, we establish the consistency of the variable selection procedure, and derive the optimal convergence rate of the regularized estimators. A simulation study and a real data application are undertaken to assess the finite sample performance of the proposed variable selection procedure.     

Issues in the analysis of co-authorship networks

Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships. Different phases of the analysis of collaboration are related to: data collection, network boundary setting, relational data matrix definition, data analysis and interpretation of results. The aim of this paper is to point out some issues that arise in these different phases, highlighting: (i) the use of local archives versus international bibliographic databases; (ii) the use of different approaches for setting boundaries in a whole-network; (iii) the definition of a co-authorship data matrix (binary and weighted ties) and (iv) the analysis and the interpretation of network measures for co-authorship data. We discuss the different choices that can be made in these phases within an illustrative example on real data which is referred to scientific collaboration among researchers affiliated to an academic institution. In particular, we compare global and actor-level network measures computed from binary and weighted co-authorship networks in different disciplines.     

Supervisors and Presenteeism: How do Supervisors Accommodate and Support Skilled Workers with Chronic Health Concerns?

There is a broad literature linking social support to health, which includes evidence that social support from supervisors is positively associated with worker health. In addition, once workers experience a health concern, supervisors may play a key role in supporting workers, keeping them on the job despite health issues. However, there are few studies that investigate the day-to-day strategies supervisors utilize to support their workers and help them stay on the job despite health concerns. The study presented in this paper addresses this gap. Thirty-two supervisors from three companies were interviewed about their experiences supporting and accommodating skilled workers during flare-ups of a health condition. A grounded theory approach was used to analyze the text data and identify themes. Three key themes emerged from the data: 1) workplace policies provide the structure for mutual problem solving; 2) communication skills and existing relationships increase supervisor effectiveness; and 3) strategies were aimed at individual, interpersonal, and institutional supports. Supervisors regularly interact with workers to support and accommodate episodes of illness or pain. While supervisors employ novel and effective strategies, there is an opportunity to improve the range of strategies, better understand and utilize company policies, and facilitate appropriate communication about worker health concerns.