How and when do prior international experiences lead to global work? A career motivation perspective

While research suggests a link between individuals' prior international experiences and their future participation in global work, we know little about how and the conditions under which this relationship occurs. Drawing on career motivation theory, we conceptualize global identity as a mediator between individuals' density of prior international experiences—defined as the extent to which time spent in culturally novel countries has provided individuals with developmental opportunities—and their global work aspirations, which in turn leads to their global work involvement. Further, this multi-stage mediation model holds mainly when individuals receive positive feedback regarding their intercultural competencies (i.e., cultural intelligence) from their peers. We test our model using a multi-wave multi-source dataset spanning 6 years. We discuss implications for the literatures on prior international experiences and global careers.     

Export Performance: Is It Possible through Knowledge and Capabilities? Evidence from Turkish Manufacturing Firms

Purpose: This article measures to what extent export performance is affected by certain resource-based view (RBV) elements and seeks to elucidate relationships between these elements. Design: Among those RBV elements, knowledge and experience as resources, and marketing, production, product development, logistics, and service differentiation as capabilities, are chosen to be the basis of this research. Their effects on export performance are measured with a survey applied to personnel of Turkish manufacturing firms operating in Istanbul district. Findings: The results show us that marketing planning capabilities and service differentiation capabilities have a significant effect on export performance. The overwhelming effect of knowledge and experience of firms on marketing planning capabilities is one of the intriguing findings. Notwithstanding that, we found no trace of a relationship between product development capabilities and service differentiation capabilities. Value: This research provides several managerial and academic implications by contributing to a resource-based view in terms of knowledge and capabilities. Additionally, in this study, it is underlined that collective knowledge is vital for achieving high export performance.     

WHO BENEFITS FROM JOB CORPS? A DISTRIBUTIONAL ANALYSIS OF AN ACTIVE LABOR MARKET PROGRAM

Using recently developed econometric techniques to estimate quantile treatment effects (QTE) and experimental data, we examine the impact of Job Corps on earnings distribution. Our results indicate a great deal of heterogeneity in the effects of Job Corps. The QTEs show an increasing pattern along the earnings distribution, with much more pronounced differences at the upper quantiles for males, whites, and ages 20–24. Moreover, we find the QTEs to be very small at quantiles below the median for males, ages 16–17 and 18–19, and non‐resident students. We propose strong economic conditions and skill hypotheses to explain the heterogeneity observed over the earnings distribution. Copyright © 2013 John Wiley & Sons, Ltd.     

R&D tax incentives: a reappraisal

This paper examines R&D tax incentives in oligopolistic markets. We characterize the conditions under which tax incentives reach the socially desirable level of firm-financed R&D spending. The outcome of the market depends not only on the level of technological spillover in the industry but also on the degree of strategic interaction between the firms. One major result emerges from the model: The socially desirable level of R&D investment is not necessarily reached by subsidizing R&D. When the technological spillover is sufficiently low, the government might want to tax R&D investments, and this result does not necessarily arise because firms are overinvesting in R&D. There are also cases in which an R&D tax is desirable even though firms are underinvesting in R&D compared with the first-best optimum. In practice, this theoretical finding calls for a lower sales tax combined with an R&D subsidy in oligopolistic industries with high technological spillovers, and a lower sales tax combined with an R&D tax in oligopolistic industries with low technological spillovers.     

Time to learn? The organizational structure of schools and student achievement

Utilizing parametric and nonparametric techniques, we asses the impact of a heretofore relatively unexplored ‘input’ in the educational process, time allocation, on the distribution of academic achievement. Our results indicate that school year length and the number and average duration of classes affect student achievement. However, the effects are not homogeneous – in terms of both direction and magnitude – across the distribution. We find that test scores in the upper tail of the distribution benefit from a shorter school year, while a longer school year increases test scores in the lower tail. Furthermore, test scores in the lower quantiles increase when students have at least eight classes lasting 46–50 min on average, while test scores in the upper quantiles increase when students have seven classes lasting 45 min or less or 51 min or more.     

Revenue management for make-to-order manufacturing systems with a real-life application

Abstract

Due to successful applications of revenue management in the airline industry, in recent years, there has been a growing interest to adopt revenue management in make-to-order (MTO) manufacturing systems. Several interrelated decision problems such as order acceptance/rejection, short-term capacity planning, due date assignment, and order scheduling need to be studied simultaneously in order to manage revenues effectively in MTO manufacturing systems. Both the producer’s and customer’s requirements need to be taken into account through some negotiation mechanisms that are sensitive to the service-level reputation of the manufacturing companies. In this article, we propose a new dynamic bid price–based revenue management model that considers all of the aforementioned decision problems simultaneously. A simulation optimization approach is utilized in order to determine the best possible values of control parameters for bid price, due date assignment, and price increment/reduction mechanisms. The performance of the proposed integrated revenue management model is tested on both a hypothetical example and a real problem of a bridal gown company. The computational results show that the proposed model provides significant improvements in total revenue compared to other static and dynamic bid price policies.     

FDI activity and worker compensation: evidence from US non-manufacturing industries

This study examines worker compensation effects of FDI activity in US non-manufacturing industry sectors. A clustered standard error correction is used when estimating wage and non-wage compensation equations, with special attention given to FDI’s effect by worker educational attainment and union status. Wage findings reveal an FDI-wage premium for highly educated non-union workers and FDI-union rent erosion for all educational-gender groups excluding females with low educational attainment. Non-wage compensation analysis reveals FDI activity is generally associated with significantly higher probabilities of workers receiving employer financed non-wage compensation for union and non-union workers regardless of their level of educational attainment.     

Information Manipulation in Election Campaigns

We provide a game‐theoretical model of manipulative election campaigns with two political candidates and a Bayesian voter. The latter is uncertain about how good the candidates are. Candidates take unobservable, costly actions to manipulate voter's opinion about their positions. We show that if the candidates differ in campaigning efficiency, and the voter receives the biased campaign messages with some noise, then the cost‐efficient candidate can win the election with higher probability than her opponent even when she is ex‐post an inferior choice for the voter. Our paper offers a novel informational justification for imposing limits on campaign spending and encouraging diversity in the supply of political information.     

The student attitudes towards digital and conventional drawing methods in environmental design studios and the impact of these techniques on academic achievement in the course

International Journal of Technology and Design Education - In recent years, technological advances had an impact on the field of education, and computer technologies were started to be used mainly...     

Metaheuristic-based simulation optimization approach to network revenue management with an improved self-adjusting bid price function

Making accurate accept/reject decisions on dynamically arriving customer requests for different combinations of resources is a challenging task under uncertainty of competitors' pricing strategies. Because customer demand may be affected by a competitor's pricing action, changes in customer interarrival times should also be considered in capacity control procedures. In this article, a simulation model is developed for a bid price–based capacity control problem of an airline network revenue management system by considering the uncertain nature of booking cancellations and competitors' pricing strategy. An improved bid price function is proposed by considering competitors' different pricing scenarios that occur with different probabilities and their effects on the customers' demands. The classical deterministic linear program (DLP) is reformulated to determine the initial base bid prices that are utilized as control parameters in the proposed self-adjusting bid price function. Furthermore, a simulation optimization approach is applied in order to determine the appropriate values of the coefficients in the bid price function. Different evolutionary computation techniques such as differential evolution (DE), particle swarm optimization (PSO), and seeker optimization algorithm (SOA), are utilized to determine these coefficients along with comparisons. The computational experiments show that promising results can be obtained by making use of the proposed metaheuristic-based simulation optimization approach.