Data-driven operations management: organisational implications of the digital transformation in industrial practice

Abstract

The ongoing digital transformation on industry has so far mostly been studied from the perspective of cyber-physical systems solutions as drivers of change. In this paper, we turn the focus to the changes in data management resulting from the introduction of new digital technologies in industry. So far, data processing activities in operations management have usually been organised according to the existing business structures inside and in-between companies. With increasing importance of Big Data in the context of the digital transformation, the opposite will be the case: business structures will evolve based on the potential to develop value streams offered on the basis of new data processing solutions. Based on a review of the extant literature, we identify the general different fields of action for operations management related to data processing. In particular, we explore the impact of Big Data on industrial operations and its organisational implications.     

A note on efficient simulation of multidimensional spatial autoregressive processes

In applications of spatial statistics, it is necessary to compute the product of some matrix W of spatial weights and a vector y of observations. The weighting matrix often needs to be adapted to the specific problems, such that the computation of Wy cannot necessarily be done with available R-packages. Hence, this article suggests one possibility treating such issues. The proposed technique avoids the computation of the matrix product by calculating each entry of Wy separately. Initially, a specific spatial autoregressive process is introduced. The performance of the proposed program is briefly compared to a basic program using the matrix multiplication.     

Career Engagement: Investigating Intraindividual Predictors of Weekly Fluctuations in Proactive Career Behaviors

This study applied a microlevel perspective on how within‐individual differences in motivational and social‐cognitive factors affected the weekly fluctuations of engagement in proactive career behaviors among a group of 67 German university students. Career self‐efficacy beliefs, perceived career barriers, experienced social career support, positive and negative emotions, and career engagement were assessed weekly for 13 consecutive weeks. Hierarchical linear regression analyses showed that above average levels of career engagement within individuals were predicted by higher than average perceived social support and positive emotions during a given week. Conversely, within‐individual differences in self‐efficacy, barriers, and negative emotions had no effect. The results suggest that career interventions should provide boosts in social support and positive emotions.     

F?rdern aktienkursbasierte Vergütungsinstrumente langfristig orientierte Unternehmensentscheidungen? Lehren aus der Kreditkrise

The question whether stock-based management incentives encourage long-term oriented management decisions is the topic of a controversial public debate. Also, the existing academic literature provides no clear picture, mainly due to endogeneity problems. In this paper, we reexamine the issue in the context of the recent credit crises, which allows us to solve the endogeneity problem. In the empirical analysis we find that firms, which have awarded stock-based incentives to their executives prior or during the financial crises, face substantially lower cuts in investment spending. These firms also show higher levels of R&D investments during the financial crises. Overall, our results suggest that stock based long-term incentives promote long-term oriented management decisions.     

The impact of US tariffs against China on US imports: Evidence for trade diversion?

We provide evidence on the existence of short-run trade diversion effects towards third countries as a consequence of tariff shocks. We exploit sudden policy changes in the context of the trade dispute between the United States and China in 2018. Based on a data set covering monthly product-level information on US imports from 30 countries for the period 2016 until May 2019, we employ a difference-in-differences estimation framework. Doing so, we can show a strong negative direct effect of US tariffs on US imports from China, but do not find evidence for significant short-run trade diversion effects towards third countries.     

Causes and Consequences of Inflation

While ethical implications of direct taxation systems have recently received renewed attention, a more veiled scheme remains unnoticed: inflation. We overview the causes of inflation and assess its consequences. Salient wealth redistributions are a defining feature of inflation, as savers and fixed income individuals see a relative wealth reduction. While avoiding this “tax” is difficult in many instances because of the primacy of money in a monetary economy, the tax codes of most developed countries allow avoidance techniques to be employed. We analyze three ways that inflation may be avoided in an attempt to preserve personal wealth, as well as the consequences of such practices.     

Sequential Estimation of Dynamic Discrete Games: A Comment

Recursive procedures which are based on iterating on the best response mapping have difficulties converging to all equilibria in multi‐player games. We illustrate these difficulties by revisiting the asymptotic properties of the iterative nested pseudo maximum likelihood method for estimating dynamic games introduced by Aguirregabiria and Mira (2007). An example shows that the iterative method may not be consistent.     

Probabilistic linear solvers: a unifying view

Statistics and Computing - Several recent works have developed a new, probabilistic interpretation for numerical algorithms solving linear systems in which the solution is inferred in a Bayesian...     

The demographics of expropriation risk

It is often argued that capital should flow from aging industrialized economies to countries with fast-growing populations. However, institutional failures and the risk of expropriation substantially reduce developing economies’ attractiveness for foreign investors. We analyze the influence of a country’s demographic structure on international investment inflows, using a political economy model in which population growth potentially affects the risk of expropriation. We first explore how redistributive expropriation affects the welfare of different age groups and derive the government’s incentive to expropriate. We then analyze how the relative size of different generations influences the feasible volume of foreign investment.