Redistributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective

Abstract

Digitalization and the growth of big data promise greater customization as well as change in how manufacturing is distributed. Yet, challenges arise in applying these new approaches in consumer goods industries that often emphasize mass production and extended supply chains. We build a conceptual framework to explore whether big data combined with new manufacturing technologies can facilitate redistributed manufacturing (RDM). Through analysis of 24 consumer goods industry cases using primary and secondary data, we investigated evolving manufacturing configurations, their underlying drivers, the role of big data applications, and their impact on the redistribution of manufacturing. We find some applications of RDM concepts, although in other cases existing manufacturing configurations are leveraged for high volume consumer goods products through big data analytics and market segmentation. The analysis indicates that the framework put forward in the paper has broader value in organizing thinking about emerging interrelationships between big data and manufacturing.     

Price Effects of the Minimum Wage: A Survey Data Analysis for the German Construction Sector

Utilizing the link between employment and price changes as a result of minimum wages, we use firm‐level data to evaluate the effect of minimum wage introduction in the German construction sector. In East Germany we find significant positive price effects that exclude the possibility of rising employment. Rather, the results indicate the existence of a competitive sector‐specific labour market, and thus declining employment. In contrast, we cannot find any significant price reaction for West Germany. This suggests that the implemented minimum wage in West Germany is too low in comparison to the predominantly paid wages and is hence not binding.     

Collectivistic leadership and George C. Marshall: A historiometric analysis of career events

Many of the prevailing approaches to understanding leadership assume that leadership operates as an individual-level phenomenon, in which one person takes on the role of a leader. However, a number of recently developed leadership models now describe leadership as a shared process. These collectivistic theories present leadership as a dynamic process in which a leader may selectively utilize the skills of followers and distribute elements of the leadership role among these followers as the situation demands. In this study, we conduct an investigation into the viability of core elements of the collectivistic theories through a historiometric analysis of events from the career of a notable leader, George C. Marshall. One hundred and two events from Marshall's career were identified from historical biographies and were then content coded and analyzed with regard to the components of a collectivistic leadership model. The results of this historiometric analysis indicated that there are key antecedents to collectivistic leadership and that the use of this form of leadership can result in positive team outcomes.     

The effect of conditional heteroskedasticity on common statistical procedures for means and variances

Summary: Commonly used standard statistical procedures for means and variances (such as the t–test for means or the F–test for variances and related confidence procedures) require observations from independent and identically normally distributed variables. These procedures are often routinely applied to financial data, such as asset or currency returns, which do not share these properties. Instead, they are nonnormal and show conditional heteroskedasticity, hence they are dependent. We investigate the effect of conditional heteroskedasticity (as modelled by GARCH(1,1)) on the level of these tests and the coverage probability of the related confidence procedures. It can be seen that conditional heteroskedasticity has no effect on procedures for means (at least in large samples). There is, however, a strong effect of conditional heteroskedasticity on procedures for variances. These procedures should therefore not be used if conditional heteroskedasticity is prevalent in the data.*We are grateful to the referees for their useful and constructive comments.     

Efficient ways to impute incomplete panel data

We find that existing multiple imputation procedures that are currently implemented in major statistical packages and that are available to the wide majority of data analysts are limited with regard to handling incomplete panel data. We review various missing data methods that we deem useful for the analysis of incomplete panel data and discuss, how some of the shortcomings of existing procedures can be overcome. In a simulation study based on real panel data, we illustrate these procedures’ quality and outline fruitful avenues of future research.     

Establishing χ2 Properties of Sums of Squares Using Induction

The between-classes sum of squares in a between- and within-classes analysis of variance has, under normality, a χ² distribution. Although “substantial mathematical machinery” (Stigler 1984) is often used in classroom derivation of this distribution, it can be avoided by using induction and independence properties of standard normal variables. This is the derivation given here for unequal subclass numbers data. Independence of the between- and within-classes sums of squares is also shown.     

Manned space travel as a cultural mission

All large-scale technology options in recent history were received by the public, partly with enthusiasm, partly with rejection. This applies to space exploration as a whole, but particularly to human spaceflight. However, the conclusion that human spaceflight involves huge costs for little benefit by no means justifies its rejection as a pointless endeavor. In fact, there may be a trans-utilitarian or non-monetary rationale to justify human spaceflight. Consequently we have to distinguish between utilitarian and trans-utilitarian ends of spaceflight. It is this system of utilitarian and trans-utilitarian ends, and the resources allocated to each of them, that constitutes the culture of a society. As a result, human spaceflight emerges as a cultural option. Such options neither need to be taken under all circumstances, nor does the acceptance of any such option mean that they should be exempt from further critical reflection. Rather, having considered all other cultural options, they should be pursued as far as they can be afforded.     

A multivariate extension of the Lorenz curve based on copulas and a related multivariate Gini coefficient

The Journal of Economic Inequality - We propose an extension of the univariate Lorenz curve and of the Gini coefficient to the multivariate case, i.e., to simultaneously measure inequality in more...