A framework for understanding the role of unlearning in onboarding

Onboarding provides an opportunity to realize a return on investment from hiring processes, and to ensure that new employees meet their full potential. Therefore, designing and managing effective onboarding is an important human resource management function. Discussion of onboarding emerged from the psychology literature and has focused heavily on socialization. In this paper, we offer a new framework of onboarding from a learning theory perspective. This framework contributes to the onboarding literature by identifying two additional and critical considerations. First, we demonstrate that learning theory provides a new lens through which to view onboarding, and we examine how the specific concept of unlearning could be applied in this context. In addition, we argue that it is critical to recognize the unique learning needs of specific talent segments to design appropriate onboarding. We conclude with key considerations for future research to enhance the onboarding experience for newcomers and optimize organizational outcomes.     

Preisschübe beim Grundbedarf — Umverteilung erforderlich

Wirtschaftsdienst - Since the beginning of 2022, prices for food and energy have been rising sharply. In the low-income sector, this leads to financial emergencies, since the standard of living...     

Measuring Change of Capitalist Varieties: Reflections on Method,Illustrations from the BRICs

How to indicate institutional diversity and gradual change in capitalist political economies? What is the appropriate typological method, how could a suitable typology look? In the Weberian tradition, this article pleads for a method that rigorously distinguishes ideal types from empirical cases. Ideal types (like liberal capitalism) idealise reality by emphasising certain aspects, cases (like Brazilian capitalism) are hybrids more or less approximating the types. Contrasting static classifications that do not allow for gradual change, the latter has to be understood as the movement of cases in the field between the types. Using the state–economy and capital–labour relationships as criteria the article proposes a typology consisting of liberal, statist, corporatist, meso-communitarian and patrimonial types. Liberalism, statism and particularly patrimonialism are relevant for emerging economies. In the second half, the article illustrates its methodological recommendation by indicatively mapping institutional change from 1998 to 2008 in political economies that recently gained importance: the BRICs (Brazil, Russia, India, China), Turkey and a few Eastern European ones. It turns out that most of them liberalised but that this change was rather modest in the BRICs, while it was more significant in Eastern Europe. Yet statism and patrimonialism appear still to be strong.     

Willingness to Pay for Golden Rice in India: A Contingent Valuation Method Analysis

We estimated students’ willingness to pay for golden rice by using the double-bounded contingent valuation method. We found that nearly 55% of the students are willing to buy golden rice at the same price as that of conventional rice, and around 85% at a certain discount. The estimated mean willingness to pay is a 4% price premium. Furthermore, we found that global (food security) and personal (health) benefit perceptions have a positive significant influence, and risk perceptions and sociodemographic variables have an insignificant influence on willingness to pay for golden rice. Overall, our findings indicate that India has a potential market for golden rice.     

WEIGHTED SMOOTH TRANSITION REGRESSIONS

A new procedure is proposed for modelling nonlinearity of a smooth transition form, by allowing the transition variable to be a weighted function of lagged observations. This function depends on two unknown parameters and requires specification of the maximum lag only. Nonlinearity testing for this specification uses a search over a plausible set of weight function parameters, combined with bootstrap inference. Finite‐sample results show that the recommended wild bootstrap heteroskedasticity‐robust testing procedure performs well, for both homoskedastic and heteroskedastic data‐generating processes. Forecast comparisons relative to linear models and other nonlinear specifications of the smooth transition form confirm that the new WSTR model delivers good performance. Copyright © 2010 John Wiley & Sons, Ltd.     

CLO replenishment regarded as linear optimisation problem

Synthetic collateralised loan obligations (CLOs) often have a replenishment feature: if the securitised assets amortise, the unused CLO volume can be replenished (refilled). While this replenishment problem usually is not a linear optimisation problem, we show that under additional assumptions it can be converted into a linear optimisation problem. Thus, the replenishment problem becomes numerically tractable even for a large number of assets.     

Ein größeres Stück vom Kuchen: Besteuerung der Gewinne von Google und Co.

Google, Facebook and other companies from the digital economy are pervasive in the European economy, but they pay only small amounts of taxes. Therefore, the finance ministers of four major EU Member States have proposed an equalisation tax on the turnover of these internet firms. In this paper, the authors argue that such a tax would violate important principles of the existing international tax regime. It seems more promising to further develop the definition of the permanent establishment (PE) in the direction of a “virtual PE”. However, a bigger bite out of the profit pie can only be expected if the international taxation regime evolves towards a more destination-based tax framework.     

Estimating the economic costs of organized crime by synthetic control methods

The economic costs of organized crime have been estimated for the case of southern Italy by Pinotti (Economic Journal 2015; 125, F203–F232, 2015): using synthetic control methods, he finds that, due to the advent of the Italian Mafia in the regions Apulia and Basilicata, GDP per capita dropped by 16%. Replicating this study in a narrow sense by estimating the same model with the same data, but using different software implementations, we observe minor differences stemming from the different implementations. By identifying the correct implementation, we find that the loss in GDP per capita due to the presence of the Mafia has been slightly overestimated.     

Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity

We present a Bayesian framework for estimating the customer lifetime value (CLV) and the customer equity (CE) based on the purchasing behavior deducible from the market surveys on customer purchasing behavior. The proposed framework systematically addresses the challenges faced when the future value of customers is estimated based on survey data. The scarcity of the survey data and the sampling variance are countered by utilizing the prior information and quantifying the uncertainty of the CE and CLV estimates by posterior distributions. Furthermore, information on the purchase behavior of the customers of competitors available in the survey data is integrated to the framework. The introduced approach is directly applicable in the domains where a customer relationship can be thought to be monogamous. As an example on the use of the framework, we analyze a consumer survey on mobile phones carried out in Finland in February 2013. The survey data contains consumer given information on the current and previous brand of the phone and the times of the last two purchases.