Lean Implementation in Small and Medium‐Sized Enterprises in Less Developed Countries: Some Empirical Evidences From North Africa

The purpose of this paper is to provide an exploration and analysis of lean implementation in small and medium‐sized enterprises (SMEs) in less developed countries. Therefore, exploratory empirical evidences were collected from a survey study among a sample of 84 SMEs in North Africa. Moreover, statistical tests were conducted to assess the overall picture of lean among SMEs in this region. Although SMEs have expressed their immense need for lean, the level of its implementation is found to be very low. The findings could encourage further extensive studies to develop strategies to promote the use of lean in these countries.     

Pareto efficient allocation of an in-motion wireless charging infrastructure for electric vehicles in a multipath network

Electric vehicles (EV) use an eco-friendly technology that limits the greenhouse gas emissions of the transport sector, but the limited battery capacity and the density of the battery are the major barriers to the widespread adoption of EV. To mitigate this, a good method seems to be the innovative wireless charging technology called ‘On-Line EV (OLEV)’, which is a contactless electric power transfer technology. This EV technology has the potential to charge the vehicle’s battery dynamically while the vehicle is in motion. This system helps to reduce not only the size of the battery but also its cost, and it also contributes to extending the driving range before the EV has to stop. The high cost of this technology requires an optimal location of the infrastructure along the route. For this reason, the objective of this paper is to study the problem of the location of the wireless charging infrastructure in a transport network composed of multiple routes between the origin and the destination. To find a strategic solution to this problem, we first and foremost propose a nonlinear integer programming solution to reach a compromise between the cost of the battery, which is related to its capacity, and the cost of installing the power transmitters, while maintaining the quality of the vehicle’s routing. Second, we adapt the multi-objective particle swarm optimization (MPSO) approach to our problem, as the particles were robust in solving nonlinear optimization problems. Since we have a multi-objective problem with two binary variables, we combine the binary and discrete versions of the particle swarm optimization approach with the multi-objective one. The port of Le Havre is presented as a case study to illustrate the proposed methodology. The results are analyzed and discussed in order to point out the efficiency of our resolution method.     

Inference for the two-parameter bathtub-shaped distribution based on record data

Here we consider the record data from the two-parameter of bathtub-shaped distribution. First, we develop simplified forms for the single moments, variances and covariance of records. These distributional properties are quite useful in obtaining the best linear unbiased estimators of the location and scale parameters which can be included in the model. The estimation of the unknown shape parameters and prediction of the future unobserved records based on some observed ones are discussed. Frequentist and Bayesian analyses are adopted for conducting the estimation and prediction problems. The likelihood method, moment based method, bootstrap methods as well as the Bayesian sampling techniques are applied for the inference problems. The point predictors and credible intervals of future record values based on an informative set of records can be developed. Monte Carlo simulations are performed to compare the so developed methods and one real data set is analyzed for illustrative purposes.     

Dynamics of price level changes in the Visegrad group: comparative study

Quality & Quantity - In Poland, as in many other countries, to measure inflation, expressed both by the CPI and HICP, the Laspeyres price index with weights from the base period is used. Thus...     

The benefits and implementation of performance transparency: The why and how of letting your customers ‘see through’ your business

While some organizations swear by the benefits of transparency and are eager to learn and implement transparency practices, many managers are still reluctant or even afraid to use them. Our research reveals that only a few innovative companies have taken steps to leverage a potentially useful form of transparency: the provision of accessible and objective information to customers (e.g., sharing unbiased benchmark data, publishing unfiltered customer comments, or providing candid product reviews that may praise but also criticize the company’s products). Our study also shows that many companies remain wary and view greater calls for transparency as a challenge to be managed rather than an opportunity to be traded upon. This is partly due to limited research into the performance benefits of giving customers access to objective information, and lack of practical guidelines on how to actually implement it. This article addresses these shortcomings. First, we investigate whether performance transparency leads to customer outcomes that can be profitable for an organization and, second, we analyze the characteristics of successful transparency initiatives in a wide range of industries. Our research shows that customers exhibit more trust and are willing to pay a premium to deal with transparent businesses. Also, it uncovers seven effective strategies to leverage transparency. This article provides convincing empirical evidence for the benefits of performance transparency and the ways in which management may implement it successfully.     

Does expenditure in public governance guarantee less corruption? Non-linearities and complementarities of the rule of law

Corruption is an endemic societal problem with profound implications in the development of nations. In combating this issue, cross-national evidence supporting the effectiveness of the rule of law seems at odds with poorly realized outcomes from reforms inspired in the academic literature. This paper provides an explanation for such contradiction. By building a computational approach, we develop three methodological novelties into the empirical study of corruption: (1) modeling government expenditure as a more adequate intervention variable than traditional indicators, (2) generating large within-country variation by means of bottom-up simulations (instead of cross-national data pooling), and (2) accounting for all possible interactions between covariates through a spillover network. Our estimates suggest that, the least developed a country is, the more difficult it is to find the right combination of policies that lead to reductions in corruption. We characterize this difficulty through a rugged landscape that governments navigate when changing the total budget size and the relative expenditure towards the rule of law. Importantly our method helps identifying the—country-specific—policy issues that complement the rule of law in the fight against corruption.

     

2017 KLEIN LECTURE: THE SCIENCE OF USING SCIENCE: TOWARD AN UNDERSTANDING OF THE THREATS TO SCALABILITY

Policymakers are increasingly facing the challenge of scaling empirical insights. This study provides a theoretical lens into the science of how to use science. Through a simple model, we highlight three elements of the scale-up problem: (1) when does evidence become actionable; (2) properties of the population; and (3) properties of the situation. Until these three areas are fully understood, the threats to scalability will render any scaling exercise as particularly vulnerable. Accordingly, our work represents a call for more policy-based evidence, whereby the nature and extent of the various threats to scalability are explored in the original research program.     

The Effect of the Arab Spring on Preferences for Redistribution in Egypt

This paper investigates the effect of the revolution that occurred in January 2011 in Egypt on the demand for redistribution in that country, which has drastically increased since that period. This shock has been an important event, enhancing freedom and the political structure. In a first step, taking into account the main determinants of preferences for redistribution in the literature, our results differ, showing a positive impact of religion and a negative impact of altruistic attitudes. In a second step, we rely on a diff-in-diff approach to estimate the effect of the revolution, using three similar countries as a control group. We find that Egyptians became much more favorable to redistribution after the Arab Spring. Moreover, the revolution effect is stronger for the poorest people and those who are interested in politics.     

Factors with significant impact on efficiency of research laboratories: case of the public university

Quality & Quantity - This work aims to highlight the factors with significant impact on efficiency of research laboratories of public university. To achieve this goal, Linear Regression is...     

Organization Capital and the Cost of Equity Financing in Medium‐Sized Manufacturing Firms

We examine the effects of organization capital—evident in management quality practices—on firms’ implied cost of equity. We show that superior management practices decrease firms’ cost of equity capital. This novel finding, robust to a battery of sensitivity analyses and to endogeneity bias, highlights the importance of superior management practices in improving firms’ financing conditions. In sum, this study demonstrates that the quality of management practices maps onto firms’ financing conditions, stressing the value relevance of intangible assets.