Employee experience –the missing link for engaging employees: Insights from an MNE's AI-based HR ecosystem

Analyzing multiple data sources from a global information technology (IT) consulting multinational enterprise (MNE), this research unpacks the configuration of a digitalized HR ecosystem of artificial intelligence(AI)-assisted human resource management (HRM) applications and HR platforms. This study develops a novel theoretical framework mapping the nature and purpose of a digitalized AI-assisted HR ecosystem for delivering exceptional employee experience (EX), an antecedent to employee engagement (EE). Employing the theoretical lenses of EX, EE, AI-mediated social exchange, and engagement platforms, this study's overarching aim of this article is to establish how AI-assisted HRM fits into an organization's ecosystem and, second, how it impacts EX and EE. Our findings show that AI-assisted applications for HRM enhance EX and, thus, EE. We also see increases in employee productivity and HR function's effectiveness. Implications for research and practice are also discussed.     

Confidence sets for the date of a break in level and trend when the order of integration is unknown

We propose methods for constructing confidence sets for the timing of a break in level and/or trend that have asymptotically correct coverage for both I(0) and I(1) processes. These are based on inverting a sequence of tests for the break location, evaluated across all possible break dates. We separately derive locally best invariant tests for the I(0) and I(1) cases; under their respective assumptions, the resulting confidence sets provide correct asymptotic coverage regardless of the magnitude of the break. We suggest use of a pre-test procedure to select between the I(0)- and I(1)-based confidence sets, and Monte Carlo evidence demonstrates that our recommended procedure achieves good finite sample properties in terms of coverage and length across both I(0) and I(1) environments. An application using US macroeconomic data is provided which further evinces the value of these procedures.     

An empirical analysis of green supply chain management in the German automotive industry

The purpose of this paper is the empirical investigation of the status quo of green supply chain management in the German automotive industry from a practitioner's point of view. Several aspects of green supply chain management, such as the point of time of implementation, the driving forces, the relevance of intended goals and their particular realization and the adoption of eco‐programs with suppliers and customers as well as internal and external barriers are analyzed. Furthermore, the link to different performance criteria is tested by inductive statistics in order to show the potential of green supply chain management for competitiveness. For this study, managers from the automotive supply industry in Germany were asked about their estimations in this regard. The main conclusion is that managers express the need for green supply chain management on the one hand but also see corresponding problems in terms of required resources on the other hand. Furthermore, the analyses show that green supply chain management leads to higher performance in terms of several performance criteria. Copyright © 2009 John Wiley & Sons, Ltd and ERP Environment.     

THE INFLUENCE OF FUNDAMENTALS ON EXCHANGE RATES: FINDINGS FROM ANALYSES OF NEWS EFFECTS

Abstract As we survey the literature of macroeconomic news in the foreign exchange market, we can by now look back on nearly 30 years of research. The first studies which analysed news effects on exchange rates were established in the early 1990s (see, for example, Dornbusch). Almost at the same time Meese and Rogoff published their influential paper, revealing the forecasting inferiority in exchange rates of structural models against the random walk. This finding has shocked the pillars of exchange rate economics and thus cast general suspicion on research focusing on fundamentals in this field. The eventual rising popularity of event studies can partly be attributed to the re‐establishment of the raison d’être of exchange rate economics. This work focuses on systematically surveying this literature with particular respect to its primary goal, i.e. shedding light on the analytical value of fundamental research. Thus, its major findings are, first, fundamental news does matter, whereas non‐fundamental news matters to a lesser degree. Second, news influences exchange rates via two separated channels, i.e. incorporating common information into prices directly or indirectly based upon order flow. Third, with a few exceptions the impact of fundamental news on exchange rates is fairly stable over time.     

WHAT AUSTRIAN BUSINESS CYCLE THEORY DOES AND DOES NOT CLAIM AS TRUE

Contemporary economic commentators have a habit of dismissing Austrian business cycle theory on the grounds that the implications for policy responses are unconvincing. Often the ‘Austrian’ position is misunderstood. But even if we wish to draw on other schools of thought to understand depressions, this does not affect the importance of Austrian insights to explain the boom.     

Distributional effects of imputed rents in five European countries

Most empirical distributional studies of well-being in developed countries rely on distributions of disposable income. From a theoretical point of view this practice is contentious since a household’s command over resources is determined not only by its spending power over commodities it can buy in the market but also on resources available to the household members through non-market mechanisms such as the in-kind provisions of the welfare state and the value of private non-cash incomes. In developed market economies the most important private non-cash income component is imputed rent from owner-occupied or subsidized accommodation. Employing a wider definition of imputed rent that also allows the analyst to capture income advantages among tenants living in rent-subsidized accommodations of various sorts (including rent-free or reduced-rent households), the present paper examines the differential effects of including imputed rents in the concept of resources in five European countries (Belgium, Germany, Greece, Italy and the UK). The results suggest that in almost all cases, the inclusion of imputed rents in the concept of resources leads to a decline in measured levels of inequality and poverty. The main beneficiaries are outright homeowners and households living in rent-free (or heavily subsidized) accommodation—most often older persons. The inclusion of imputed rents in the concept of resources does not lead to substantial changes in the ranking of the countries according to their level of inequality, despite widespread differences in the rates of home ownership and subsidization across the countries studied here.     

A resolution to the NPV–IRR debate?

Two criteria for choosing between capital investment projects are net present value (NPV) and internal rate of return (IRR). Sometimes they provide inconsistent rankings. This inconsistency sparked a debate about which criterion is better. The debate has lasted more than 100 years.This paper describes a new approach to the debate. The time value of money equation is a polynomial, and a polynomial of order n does not have a single root. It has n roots. The result of taking into account the n solutions for IRR is a new equation for NPV that suggests a resolution to the debate.     

Managing sourcing team effectiveness: The need for a team perspective in purchasing organizations

To meet today’s high demands on the purchasing function, sourcing teams have become the standard in contemporary corporate purchasing organizations. Sourcing teams are often started with high expectations. However, after making a promising start many of these teams appear to be unable to operate effectively and to meet management expectations. This study shows that sourcing team effectiveness is particularly hindered by a lack of team perspective in many purchasing organizations. In this paper, the results of a large-scale, cross-sectional survey to address the success factors for sourcing teams are discussed. We aim to clarify the factors behind sourcing team performance, taking into account the specific task and organizational context. It is concluded that purchasing executives should shift their focus towards employee involvement and team processes, to enable teams to actually meet and even surpass the expectations placed on them.     

Bayesian semiparametric stochastic volatility modeling

This paper extends the existing fully parametric Bayesian literature on stochastic volatility to allow for more general return distributions. Instead of specifying a particular distribution for the return innovation, nonparametric Bayesian methods are used to flexibly model the skewness and kurtosis of the distribution while the dynamics of volatility continue to be modeled with a parametric structure. Our semiparametric Bayesian approach provides a full characterization of parametric and distributional uncertainty. A Markov chain Monte Carlo sampling approach to estimation is presented with theoretical and computational issues for simulation from the posterior predictive distributions. An empirical example compares the new model to standard parametric stochastic volatility models.     

Spatial welfare economics versus ecological footprint: modeling agglomeration,externalities and trade

A welfare framework for the analysis of the spatial dimensions of sustainability is developed. It covers agglomeration effects, interregional trade, negative environmental externalities, and various land use categories. The model is used to compare rankings of spatial configurations according to evaluations based on social welfare and ecological footprint indicators. Five spatial configurations are considered for this purpose. The exercise is operationalized with the help of a two-region model of the economy, that is, in line with the ‘new economic geography.’ By generating a number of numerical ‘counter-examples,’ it is shown that the footprint method is inconsistent with an approach aimed at maximum social welfare. Unless environmental externalities are such a large problem that they overwhelm all other components of economic well-being, a ‘spatial welfare economic’ approach delivers totally different rankings of alternative land use configurations than the ecological footprint.