A comparison of fixed and dynamic pricing policies in revenue management

We consider the problem of selling a fixed capacity or inventory of items over a finite selling period. Earlier research has shown that using a properly set fixed price during the selling period is asymptotically optimal as the demand potential and capacity grow large and that dynamic pricing has only a secondary effect on revenues. However, additional revenue improvements through dynamic pricing can be important in practice and need to be further explored. We suggest two simple dynamic heuristics that continuously update prices based on remaining inventory and time in the selling period. The first heuristic is based on approximating the optimal expected revenue function and the second heuristic is based on the solution of the deterministic version of the problem. We show through a numerical study that the revenue impact of using these dynamic pricing heuristics rather than fixed pricing may be substantial. In particular, the first heuristic has a consistent and remarkable performance leading to at most 0.2% gap compared to optimal dynamic pricing. We also show that the benefits of these dynamic pricing heuristics persist under a periodic setting. This is especially true for the first heuristic for which the performance is monotone in the frequency of price changes. We conclude that dynamic pricing should be considered as a more favorable option in practice.     

International doctoral students as knowledge brokers: reciprocity,trust and solidarity in transnational networks

In this article, we examine the role of brokerage, the knowledge that brokers transfer and the social conditions of that transfer. Previous research suggests that highly skilled migrants spanning multiple locales have the advantage of being able to transfer knowledge as they move from one place to another. In this study, using a network perspective, we look at the activities of international doctoral students in their transfer of knowledge and illustrate the underlying social conditions of knowledge transfer through transnational friendship networks. Using a qualitative methodology, we examine the research questions and 35 in‐depth interviews, as well as egocentric network analysis conducted in Germany. In the findings, we explore the social conditions of knowledge brokerage, including trust, reciprocity and solidarity. Finally, we discuss the implications for further research on knowledge sharing among brokers and international students.     

Trapped in small business? An investigation of three generations of migrants from Turkey to Western Europe

This article examines the self-employment behaviour of three generations of migrants from Turkey living in Europe to understand its implications for their economic adaptation into the receiving societies. It specifically investigates the likely generational differences in their propensity to engage in small businesses and the extent to which they are transmitted across generations. The research is based on the 2000 Families Survey, which draws parallel samples of migrant and non-migrant families from their origins in Turkey and traces them across Turkey and Europe over multiple generations. The data are drawn from a subset of personal interviews with 1743 economically active settlers nested within 836 families. The results challenge the assimilation theory but lend support to the disadvantage thesis by demonstrating that the younger generations, including the better educated, are significantly engaged in small, low-status businesses of their parents regardless of their language proficiency, citizenship status and country of residence.     

The Historical Situation of Turkish Migrants in Germany

The recruitment of Turkish migrant workers in Germany was originally a temporary measure because of a shortage of manpower, but over time they settled permanently and were joined by their families. This led to changes in lifestyle and many problems of adaptation. This paper examines the complex integration process, their contribution the Germany economy and the changes that the host society has had to make to fulfil the needs of a community now resident in Germany for 40 years.     

Recent History Functional Linear Models for Sparse Longitudinal Data

We consider the recent history functional linear models, relating a longitudinal response to a longitudinal predictor where the predictor process only in a sliding window into the recent past has an effect on the response value at the current time. We propose an estimation procedure for recent history functional linear models that is geared towards sparse longitudinal data, where the observation times across subjects are irregular and total number of measurements per subject is small. The proposed estimation procedure builds upon recent developments in literature for estimation of functional linear models with sparse data and utilizes connections between the recent history functional linear models and varying coefficient models. We establish uniform consistency of the proposed estimators, propose prediction of the response trajectories and derive their asymptotic distribution leading to asymptotic point-wise confidence bands. We include a real data application and simulation studies to demonstrate the efficacy of the proposed methodology.     

Robust Estimation and Hypothesis Testing of Linear Contrasts in Analysis of Covariance with Stochastic Covariates

Estimators of parameters are derived by using the method of modified maximum likelihood (MML) estimation when the distribution of covariate X and the error e are both non-normal in a simple analysis of covariance (ANCOVA) model. We show that our estimators are efficient. We also develop a test statistic for testing a linear contrast and show that it is robust. We give a real life example.     

Realisierungspotenziale kooperativen Lernens mit Hilfe virtueller Kommunikation

Within the widespread paradigm of life-long learning, virtual communication is estimated to play an important role not only for distance education, but also concerning educational face-to-face-teaching and hybrid settings. In this article, an overview of forms and modes of computer-mediated communication (CMC) is given, leading to a discussion of both, didactic criteria and technological equipment, for the promotion of computer-supported cooperative/collaborative learning (CSCL).     

r − k Class estimator in the linear regression model with correlated errors

Autocorrelation in errors and multicollinearity among the regressors are serious problems in regression analysis. The aim of this paper is to examine multicollinearity and autocorrelation problems concurrently and to compare the r ? k class estimator to the generalized least squares estimator, the principal components regression estimator and the ridge regression estimator by the scalar and matrix mean square error criteria in the linear regression model with correlated errors.