Research and development target‐setting difficulties addressed through the emergent method: technology forecasting using data envelopment analysis

The aim of this study is to provide a foundation for researchers and managers to discuss and resolve difficulties associated with research and development (R&D) target‐setting. While multiple studies mention the difficulty of R&D target‐setting, few have compiled reasons for these difficulties or addressed this issue in detail. This paper provides one of the first studies outlining reasons for R&D target‐setting difficulties through a literature review. It also provides an initial set of analyses and results after applying an emerging quantitative method, Technology Forecasting Using Data Envelopment Analysis (TFDEA), to illustrate these difficulties step‐by‐step to commercial airplanes. Results include determining the state of art in commercial airplane technology and technological rate‐of‐change variants in setting R&D targets.     

Effect of State Paid Family Leave Policies on Inequalities in Maternity Leave Usage in the United States

International Advances in Economic Research -     

Automatic leading indicators versus macroeconometric structural models: A comparison of inflation and GDP growth forecasting

This paper compares the forecast performance of automatic leading indicators (ALIs) and macroeconometric structural models (MESMs) commonly used by non-academic macroeconomists. Inflation and GDP growth form the forecast objects for comparison, using data from China, Indonesia and the Philippines. ALIs are found to outperform MESMs for one-period-ahead forecasts, but this superiority disappears as the forecast horizon increases. It is also found that ALIs involve greater uncertainty in choosing indicators, mixing data frequencies and utilizing unrestricted VARs. Two ways of reducing the uncertainty are explored: (i) give theory priority in choosing indicators, and include theory-based disequilibrium shocks in the indicator sets; and (ii) reduce the VARs by means of the general-to-specific modeling procedure.     

Data driven rank test for the change point problem

Data driven test procedure for detection of change is introduced and its properties are studied. The new solution is max-type statistic related to data-driven rank tests for two-sample subproblems. Simulations show that the new test possesses high and stable power. The test is consistent at essentially any alternative. Asymptotic null distribution of the test is derived. The work of the first two authors has been partially supported by the grants GAČR 201/06/0186 and MSM 02160839.     

“Want to” Versus “Have to”: Intrinsic and Extrinsic Motivators as Predictors of Compliance Behavior Intention

“Worthless,” “money burning,” or “black holes” is how media and professionals describe compliance practices today. Practitioners are unenthusiastic about control systems, codes of conducts, and systems for compliance management that are increasing in volume but not in effectiveness. In order to help practitioners clarify what actually makes employees comply with their compliance program, this study examines intrinsic and extrinsic motivators of 119 employees from procurement and sales. We contribute to the existing motivation literature, testing the self‐determination theory in low and high hierarchical levels. Our findings show that intrinsic motivators are more strongly and positively related to compliance intention on higher hierarchical levels than the lower ones. However, employees from higher hierarchies show overall less compliance intention than employees from lower hierarchies. © 2015 The Authors. Human Resource Management published by Wiley Periodicals, Inc.     

The Drivers of Sovereign CDS Spread Changes: Local Versus Global Factors

We use daily data for a panel of 34 countries to investigate regional differences in sovereign credit default swaps (CDS) spread determinants and the significance of local versus global market factors. Similar to prior studies, we find a high level of commonality among CDS spreads, but our results show that this effect is stronger in Latin American CDS. The results of our quantile panel regression model show that although global forces drive spreads across the conditional distribution, changes in credit ratings are significant in explaining CDS spreads only in the upper quantiles. We also confirm the existence of regional differences in spread determinants.     

FAIR RETIREMENT UNDER RISKY LIFETIME*

A premature death unexpectedly brings a life and a career to their end, leading to substantial welfare losses. We study the retirement decision in an economy with risky lifetime and compare the laissez‐faire with egalitarian social optima. We consider two social objectives: (1) the maximin on expected lifetime welfare, allowing for a compensation for unequal life expectancies, and (2) the maximin on realized lifetime welfare, allowing for a compensation for unequal lifetimes. The latter optimum involves, in general, decreasing lifetime consumption profiles as well as raising the retirement age. This result is robust to the introduction of unequal life expectancies and unequal productivities.     

The relevance of political affinity for the initial acquisition premium in cross‐border acquisitions

Research summary : In the context of economic nationalism, we investigate the relevance of political affinity between countries to the initial acquisition premium offered in cross‐border acquisitions. Political affinity is defined as the similarity of national interests in global affairs. We argue that political affinity affects how foreign acquirers anticipate their bargaining position in their negotiations with domestic target firms. With decreasing political affinity, the host government becomes increasingly likely to intervene against foreign firms in an acquisition deal. Consequently, foreign acquirers need to provide a more lucrative initial offer to dissuade target firms from leveraging government intervention to oppose the acquisition. Our prediction is supported by strong evidence that political affinity, as revealed by UN general assembly voting patterns, leads to lower initial acquisition premiums. Managerial summary : Media reports suggest that politics plays an important role in international business transactions. However, we still know very little about how bilateral political relations affect corporate decision‐making. In this article, we analyze the influence of the quality of bilateral political relations on the bidding behavior of foreign acquirers in cross‐border acquisitions. We argue that the host government is more likely to intervene against the foreign acquirer during deal negotiations if the quality of bilateral political relations is poor. A lower political affinity between countries therefore decreases the bargaining power of the acquirer and pushes up the initial bid premium the acquirer has to offer to the local target. Our empirical results confirm our argument. Copyright © 2015 John Wiley & Sons, Ltd.     

The impact of stocks and flows of organizational knowledge on firm performance: an empirical investigation of the biotechnology industry

The knowledge‐based view of the firm is a recent approach to understanding the relationship between firm capabilities and firm performance. Specifically, this approach suggests that knowledge generation, accumulation and application may be the source of superior performance. Other research has conceptualized organizational knowledge in terms of stocks of accumulated knowledge in the firm and flows of knowledge into the firm. This paper tests the relationship between stocks and flows of organizational knowledge and firm performance in the biotechnology industry. We suggest that a firm’s geographic location, alliances with other institutions and organizations and R&D expenditures are representative of knowledge flows, while products in the pipeline, firm citations and patents are indicative of knowledge stocks. Through factor analysis, we develop an aggregated measure of location from several variables. A regression model suggests that location is a significant predictor of firm performance as are products in the pipeline and firm citations. A major contribution of this investigation is the operationalization of geographic location and its statistically significant link to firm performance. Copyright © 1999 John Wiley & Sons, Ltd.