Research collaboration model in academic social networks

ABSTRACT

This paper proposes a hybrid collaboration recommendation method that accounts for research similarities and the previous research cooperation network. Research cooperation is measured by combining the collaboration time and the number of co-authors who already collaborated with at least one scientist. Research similarity is based on authors’ previous publications and academic events they attended. A weighted directed graph is built to discover new collaborators by using direct and indirect connections between scientists. Moreover, a consensus-based system is built to integrate bibliography data from different sources. The experimental results show that our method improves the recommendation performances over other methods.     

Host-site institutions,regional production linkages and technological upgrading: a study of automotive firms in vietnam

Using technological capabilities as embodied in machinery, organization, processes and products, this study examines the links with host-site institutions and regional production linkages. The statistical results show no relationship between these variables. In-depth interviews complement the quantitative findings. Overall, the result shows that the government’s localization efforts failed because too many joint-venture assemblers were approved in the 1990s when the domestic market was small. The lack of economies of scale also affected the growth of national suppliers. Hence, national producers are confined to low value added segments and lack the quality to compete in export markets.     

Internationalization capabilities of SMEs: A comparative study of the manufacturing and industrial service sectors

Nowadays, the global economy requires developed countries to undergo industrial restructuring. In this context, industrial small- and medium-sized enterprises (SMEs) need to collaborate with the service sector to enhance their competitiveness and strategic capabilities. Indeed, industrial service SMEs have been the object of particular attention from governments since these enterprises have become a key element for manufacturing and innovation networks in developed countries. However, these firms, as well as the manufacturing SMEs they serve, now face the challenge to internationalize. This paper addresses the of the strategic capabilities required by SMEs in general, and manufacturing and industrial service SMEs in particular, to internationalize, as well as the effect of these capabilities on their export performance. These strategic capabilities are presented in a research model, which relates human resources (HR), product development capabilities and market development capabilities to export performance. In testing this model with a sample of 347 Canadian and French SMEs, similarities and differences between the two types of SMEs are highlighted.     

Self-employment of older Americans: do recessions matter?

As high unemployment rates linger following the latest recession, job opportunities can be sparse, especially for older workers. This might prompt older Americans to seek out opportunities in self-employment. Alternatively, recession-related decreases in economic activity might make self-employment less attractive. Using the Health and Retirement Study, we find that unemployed respondents are more likely to enter self-employment and that these decisions are clearly affected by recessions, although the effects differ by recession and gender. Unlike men, women’s self-employment decisions are very sensitive to other sources of household income, and women are less likely to become self-employed the deeper the recession.     

Time Series Based Errors and Empirical Errors in Fertility Forecasts in the Nordic Countries*

We use ARCH time series models to derive model based prediction intervals for the Total Fertility Rate (TFR) in Norway, Sweden, Finland, and Denmark up to 2050. For the short term (5–10 yrs), expected TFR‐errors are compared with empirical forecast errors observed in historical population forecasts prepared by the statistical agencies in these countries since 1969. Medium‐term and long‐term (up to 50 years) errors are compared with error patterns based on so‐called naïve forecasts, i.e. forecasts that assume that recently observed TFR‐levels also apply for the future.     

Capitalizing Research & Development: Signaling or Earnings Management?

This paper analyzes the capitalization of Research & Development (R&D) expenditures under International Financial Reporting Standards (IFRS). Discretionary R&D capitalization can be exercised by managers to signal private information on future economic benefits to the market. It can, however, also serve as opportunistic earnings management. We analyze a unique, hand-collected sample of highly R&D intensive German IFRS firms during 1998–2012. We find that market values are not associated with capitalized R&D for the overall sample, indicating that earnings management may be a concern. We identify firm-years for which R&D capitalization is possibly used for pushing their earnings above a specific threshold (e.g. analysts' forecasted earnings, prior year's earnings). Our results show that both the decision to capitalize and how much to capitalize are strongly associated with benchmark beating. Consistently, we find that market values are negatively associated with capitalized R&D for firms who are likely to use capitalization for benchmark beating (about one third of the overall sample). On the other hand, the market values R&D capitalization positively for well-performing firms, for which capitalizing does not matter to beat an earnings benchmark (about half of the overall sample). This finding is robust to controls for endogeneity, various deflators, and different measures for earnings management.     

The impact of sentiment on price discovery

We study how investor sentiment affects the speed with which prices reflect information. Price discovery is more timely for firms with greater sensitivity to sentiment, as measured by a sentiment beta. Our research improves our understanding of the price formation process when sentiment is not assumed to be constant. Our research design is novel as it considers a sentiment beta as well as economy‐wide sentiment. This provides more comprehensive evidence on the impact of differing types of sentiment on the price formation process.     

Working While the World Sleeps: A Consideration of Sleep and Shift Work Design

The evolution of society and economic pressure has provided the impetus for operating on a 24-hr basis in many industries. This has occurred with relatively little attention toward sleep deprivation and related problems facing shift workers and the organizations employing them. This paper first documents the move toward shift work and some sleep problems associated with it. We then describe sleep disorders that impact job performance. Next, we describe alternative schedules and give suggestions for shift work implementation. Finally, we offer some normative advice regarding the treatment of shift employees.     

A credit scoring model for Vietnam's retail banking market

As banking markets in developing countries are maturing, banks face competition not only from other domestic banks but also from sophisticated foreign banks. Given the substantial growth of consumer credit and increased regulatory attention to risk management, the development of a well-functioning credit assessment framework is essential. As part of such a framework, we propose a credit scoring model for Vietnamese retail loans. First, we show how to identify those borrower characteristics that should be part of a credit scoring model. Second, we illustrate how such a model can be calibrated to achieve the strategic objectives of the bank. Finally, we assess the use of credit scoring models in the context of transactional versus relationship lending.