Abstract Purpose This study examines the relationship between three dimensions of transactional leadership, contingent reward, active management by exception, and passive management by exception, and their impact on the company’s social performance in the Mexican maquiladora industry. Theoretical framework A literature review of 120 articles on transactional leadership and organizational performance identifies 24 variables observed in the three dimensions of transactional leadership and 10 variables for social performance. Design/methodology/approach A questionnaire was applied to managers in the maquiladora industry and 156 responses were obtained. Structural equation modeling (SEM) based on partial least squares (PLS) was applied to test six hypotheses or relationships between the transactional dimensions and social performance. Findings There is a strong relationship between the dimensions of transactional leadership and social performance, except for the passive management by exception dimension, which shows no direct or positive effect on social performance. Practical & social implications of research In the Mexican maquiladora industry, passive management by exception is negatively impacted by contingent reward and hurts social performance, and managers must avoid this dimension. However, contingent reward strongly supports passive management by exception and social performance. Originality/value This research provides a framework for developing Mexico’s maquiladora industry leaders, indicating the most important dimensions and activities required to guarantee social performance.

Abstract: Positron Emission Tomography (PET) is a nuclear medicine technique used to obtain metabolic images of the body. PET scanners used in the research, treatment, and monitoring of several diseases provide images of metabolic activity associated with the ailments. However, the data produced by PET are heavily corrupted by noise and other errors, thereby causing degradation in the quality of the final reconstructed images. In order to improve the image reconstruction process, this paper presents a new algorithm that addresses the problem from a variational perspective. We propose the use of a modified version of total variation regularization by including a second term in order to better deal with noise; in the proposed version, both regularizing terms are balanced by calculating weights adapted to the PET images through the use of anatomical information from another medical modality, such as computer tomography (CT) or magnetic resonance imaging (MRI). Simulated image results show that our proposed method is more effective in dealing with heavy noise and in preserving small structures (e.g., possible lesions) than the expectation maximization method that is commonly used with commercial scanners.

La presión actual de la competencia global está demandando productos más rápidos, confiables, flexibles y más baratos; por lo tanto, con el fin de mantenerse al día con las demandas de los clientes, las empresas necesitan mejorar continuamente sus sistemas de fabricación y desarrollar nuevas estrategias. La gestión de la cadena de suministro (GCS) es actualmente la táctica más importante que utilizan las empresas modernas para mantener su competitividad. El proceso de selección de proveedores (PSP) desempeña un papel importante en la GCS y ha sido ampliamente estudiado en los últimos años como una herramienta para orientar y ayudar a los investigadores y tomadores de decisiones. La gestión de la cadena de suministro verde (GCSV) surge debido al reciente incremento en la protección del medio ambiente. Entonces, el proceso de selección de proveedores verde (PSPV) se ha convertido en un elemento crítico en la GCSV. El presente manuscrito muestra una revisión de los trabajos publicados en revistas científicas en los últimos 5 años sobre los criterios verdes utilizados en la decisión multicriterio. Además, identifica las técnicas de selección multicriterio (TSM) más utilizadas, revistas, universidades y departamentos académicos, donde este tipo de investigación se está desarrollando.

The current pressure of global competition is demanding faster, reliable, flexible, and cheaper products. Thus, in order to keep up with customer demands, companies need to continuously improve their manufacturing systems and develop new strategies. Supply chain management (SCM) is currently the most important tactic for modern companies to maintain their competitiveness. Supplier selection process (SSP) plays an important role in SCM and has been studied extensively in the past years as a tool to provide guidance and help to researchers and decision makers. Green supply chain management (GSCM) arose due to the recent increase in environmental protection. Consequently, the correspondent green supplier selection process (GSSP) has become more and more critical in GSCM. This paper presents a review of studies published in scientific journals during the last five years about green criteria utilized in multi-criterion decision making (MCDM) techniques for GSSP. Furthermore, it identifies the most commonly used MCDM techniques, in journals, universities, and academic departments where this type of research is being developed.

Este trabajo presenta un análisis de los efectos que tienen la infraestructura regional y los servicios en el desempeño de la cadena de suministro en empresas manufactureras de Ciudad Juárez, Chihuahua, México. Para colectar la información se aplicaron cuestionarios a 120 empresas, y para obtener un modelo de ecuaciones estructurales explicativo de los efectos se utilizó la metodología de mínimos cuadrados parciales usando WarpPLS 3.0. Los resultados obtenidos muestran que cuando existe buen nivel en la infraestructura regional se tienen impactos positivos sobre los servicios logísticos; y éstos a su vez impactan en los costos. Asimismo, la infraestructura regional tiene impactos positivos sobre el tiempo de entrega de los productos. Con relación al nivel de infraestructura (transporte, telecomunicaciones, internet) y de servicios (aéreos, terrestres, financieros, legales) en Ciudad Juárez, los encuestados lo consideran bueno por lo que las entregas de producto han sido completas y a tiempo en los últimos 3 años.

In this paper appears an analysis of the effects of regional infrastructure and the services in the supply chains performance in manufacturing companies collated in Ciudad Juarez, Chihuahua, Mexico. To collect the information, 120 surveys were applied to companies, and to obtain a causal with structural equation modelling to explain those effects, a methodology of partial least squares was used with WarpPls 3.0®. The results indicate that a good level in the regional infrastructure has a positive impact on logistics services, and as a consequence in the costs. Also, the regional infrastructure has a positive impact on time delivery of products. Regarding the level of infrastructure (transport, telecommunications, and internet) and services (air, land, financial, legal) in Ciudad Juarez, respondents are considering that it is good, so the product deliveries are complete on time in the past 3 years.