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The purpose of this paper is to evaluate how temporary labor moderates the relation between two well-known lean initiatives (process flow and process quality) and line productivity. This paper focuses on high-volume, low-variety (HVLV) shop floors, where work experience may not be as relevant as expected and extrinsic motivation of the temporary workforce could become a key driver of individual performance.

The authors follow an insider econometrics approach based on panel microdata (1,793 observations) from nine lines over two years in a Spanish manufacturing plant. The authors selected this setting for two reasons: Spain has traditionally had one of the highest levels of temporary employment in the world, so it perfectly represents labor market trends in OECD countries. Simultaneously, the authors also searched for a type of shop floor that could be representative of one of the most common manufacturing environments: a shop floor with highly repetitive and low-complexity work tasks.

The results of this paper suggest that in HVLV environments, temporary labor could contribute up to a 1.4% improvement in line productivity, provided there is a strong lean implementation. Otherwise, the use of temporary labor could undermine the positive effects of both process flow and process quality on plant productivity.

External incentives derived from high levels of unemployment, coupled with manufacturing’s increasing automation and specialization, may be minimizing the weaknesses traditionally associated with temporary workers in lean environments. By contrast, those shop floors lacking lean standards face serious productivity consequences from adjusting to global trends by using temporary work.

This paper aims to examine how lack of financial cooperation damages the operational efficiency of supply chains. The thesis is that economic and technological forces are provoking increasing financial tensions that push companies to transfer their credit needs and inventory requirements to their weakest suppliers. Thus, what might initially seem positive from an individual perspective can in fact generate losses in production efficiency for the supply chain as a whole.

This paper uses official data collected from 116 first- and second-tier suppliers in the Spanish automotive components sector, covering nine years (2001-2009). The relationships between the key variables are analysed using panel data estimations.

Significant differences were found between the working capital (WC) of first- and second-tier companies, proving additionally that although this approach may temporarily improve the results of first-tier suppliers, it leads to lower production efficiency in plants throughout the value chain.

Practitioners should avoid short-sighted attitudes when organizing the supply chain on a cooperative basis, going beyond the conventional wisdom on physical and information flows between original equipment manufacturers and their suppliers to reach upstream stages and embracing financial considerations.

The paper takes a novel approach to the issue of inter-organizational collaboration in the supply chain, aiming to go beyond conventional Lean Supply practices. From an empirical point of view, while much of the research on the topic utilizes key informant insights collected using psychometric data collection techniques, this study uses different financial proxies collected from secondary panel data.

Most studies explore the success of mergers and acquisitions through ex ante analyses based on the compatibility of resources and capabilities between the acquirer and target. As more than half of them fail, there seems to be room for enhancing our understanding of when and how acquisitions can actually improve firms' competitiveness. Diverging from these conventional approaches, the authors posit that attention should be at the strategic level. The purpose of this paper, therefore, is to explore the existence of compatibility between acquirers’ and targets’ competitive strategies and its effect on post-acquisition business performance.

Through the Thomson Reuters Eikon financial and acquisition databases, the authors built a unique data panel of 174 acquirer–target matched acquisitions in the manufacturing sector from 24 different countries between 2000 and 2020. The authors used a two-step System-GMM approach to address the hypotheses proposed in this paper. This methodology allowed to isolate and easily compare the differential effects of each possible combination of strategic similarity and dissimilarity between the target and acquiring company on the latter’s post-acquisition strategies.

The need to unravel the motives behind successful acquisitions has gained enormous interest in recent years among academics and managers to improve – or maintain – firm competitiveness. Through a panel data of 174 acquisitions among manufacturing firms (2000–2020), this study shows that differentiated firms improve their business performance by acquiring firms with similar strategies; nevertheless, their performance worsens if the acquired firm follows a cost-leadership strategy. Concerning acquirers with a cost-leadership strategy, the lack of clear behavioral patterns suggests that the lower knowledge absorption capacity associated with these firms might be a decisive factor in being able to assimilate and efficiently exploit the acquired firm's knowledge.

Overall, this approach offers a new and valuable perspective for practitioners because it improves understanding of the possible causes of merger failure and opens new attentions to consider in maximizing success and long-term competitiveness. The results of this study bring, thus, an unexpected result to this research: the importance of the acquirer’s strategy beyond the similarity or dissimilarity of the strategies of the acquirer and the acquired company.

This paper intends to present a hydrodynamical model which describes the hole motion in silicon and couples holes and electrons.

The model is based on the moment method and the closure of the system of moment equations is obtained by using the maximum entropy principle (hereafter MEP). The heavy, light and split‐off valence bands are considered. The first two are described by taking into account their warped shape, while for the split‐off band a parabolic approximation is used.

The model for holes is coupled with an analogous one for electrons, so obtaining a complete description of charge transport in silicon. Numerical simulations are performed both for bulk silicon and a p‐n junction.

The model uses a linear approximation of the maximum entropy distribution in order to close the system of moment equations. Furthermore, the non‐parabolicity of the heavy and light bands is neglected. This implies an approximation on the high field results. This issue is under current investigation.

The paper improves the previous hydrodynamical models on holes and furnishes a complete model which couples electrons and holes. It can be useful in simulations of bipolar devices.

The results of the paper are new since a better approximation of the band structure is used and a description of both electron and hole behavior is present, therefore the results are of a certain relevance for the theory of charge transport in semiconductors.

Flying‐capacitor multilevel converters (FCC) need a passive or active regulation of the capacitor voltages. Recently the trend is towards active control, often implemented separately from the current control. The advantages of a true multi‐variable control sparked the interest to apply Model Based Predictive Control (MBPC) for FCC. In this paper an objective analysis method to evaluate the effects of several design choices is presented. The effects of the weight factor selection, model simplification, and prediction horizon expansion for MBPC of a 3‐level FCC are analyzed in a systematical way.

The analysis is mainly based on the mean square error (MSE) of current and capacitor voltage. The results are analysed for different lengths of the prediction horizon and for a wide range of weight factor values. Similarly the effect of a model simplification, neglecting the neutral point voltage, is studied when implementing MBPC for FCCs while considering the computational aspects. Validation of the simulation results is done by experiments on an FPGA‐based setup.

Including the effect of the neutral point voltage considerably increases the current control quality and a much wider range of good values for the weight factor exists. As this good range is not critically dependent on the current amplitude it is possible to select one weight factor value for all operating points. Furthermore, it is concluded that increasing the prediction horizon increases the computational load without improving the control quality.

The effects of increasing the prediction horizon when including other controlled variables is to be investigated, as well as the robustness to modeling errors. The MSE analysis methodology is very suitable for this further research.

For practitioners of MBPC in power electronics the paper proves that by means of simulations and the MSE one value for weight factor can be chosen for all operating points. The paper clearly shows that a practical implementation is feasible and demonstrates that neglecting the neutral point voltage is not good practice.

The MSE‐based analysis is shown to be a systematical and unbiased methodology to evaluate the effects of design choices. The results from this analysis can be directly applied in practical setups.