Emotional intelligence and leadership emergence in small groups

We report the findings from two studies that examine the association between emotional intelligence and leadership emergence in small groups. In both studies, members of groups completed measures of emotional intelligence and other individual differences prior to working on a group project. Their peers rated their leadership emergence at the conclusion of the project. Overall emotional intelligence and a number of its dimensions were associated with leadership emergence over and above cognitive intelligence, personality traits, and gender. These findings were observed when emotional intelligence was measured with an ability test but not when it was measured with a self-report scale. Among the dimensions of emotional intelligence, the ability to understand emotions was most consistently associated with leadership emergence.     

Social support at work and its relationship to absenteeism

Abstract

In this study, the impact of psychosocial work characteristics on illness and work absenteeism has been examined. The study group consisted of 133 civil servants (33 men and 100 women) with a mean age of 43 years (range 21-65 years). Psychosocial work characteristics, social support, quality of life, work absenteeism, psychosomatic and gastrointestinal symptoms were assessed by means of questionnaires. Five different work support or functions were identified by factor analysis: appraisal support, belonging support, instrumental support, emotional support and supportive atmosphere. The analysis showed that work absenteeism was associated with lower belonging support and a less supportive atmosphere. Furthermore, psychosomatic symptoms were associated with lack of support at work, measured as belonging support, instrumental support and supportive atmosphere. Gastrointestinal symptoms were associated with lack of belonging support and lack of social integration outside work. A bad general health status was associated with lack of insrumental support. The association between work absenteeism and social support at work was confirmed in multivariate analysis with control for confounding factors. In this analysis, high work strain and low social support were associated with a lower quality of life, which in turn was associated with increased absenteeism. Although there are well-known difficulties in drawing causal conclusions from cross-sectional studies, it seems reasonable to conclude that social support at work is an important factor to take into consideration when analysing illness and absenteeism from work.     

Experience with an electricity market simulation tool

A successful experience to train power producers on pool-based electricity markets presented. Trainees are arranged in groups and assigned, at random, a set of generators. They play the role of power producers and compete against each other with the target of maximizing their own profits. They have to bid in terms of price and quantity to try to sell energy to the consumers through the market. The trainer plays the role of the market operator. A market simulator and a computer communication network make it possible to simulate the actual functioning of a pool-based electricity market. The simulator is based on the widely used software package MATLAB, and a computer communication net, which can be replaced by the WWW.     

The use of performance measurement as a basis for project control of offshore modification oil and gas projects

The methods presented in this article are based on the qualitative and quantitative analysis of close-out data drawn from a portfolio of 38 modification projects. The primary premise is that modification projects are intrinsically subject to quantity and complexity growth during the course of detailed engineering as a consequence of the indeterminate interface with the existing facility. The normative project control routines need to be supplemented by material take-offs-based weight monitoring as a basis for re-estimation and re-calibration of the project baselines as detailed engineering proceeds in order to mitigate this uncertainty as early as possible. Similarly, estimating needs to be based on norms drawn from performance measurement of modification work rather than extrapolations from greenfield projects, particularly the work performed on the platforms. This article presents a portfolio of project control methods based on the performance measurement principle covering the short term of single projects as well as the longer term multi-project perspective.     

Implementation of S-DBR in four manufacturing SMEs: a research case study

Production planning and control systems (PPCs) are tools that have a major effect on the performance of manufacturing companies. An inappropriate determination of the applicability of PPCs could seriously jeopardise the ability to achieve competitive priorities. This mistake can be expensive for any company, but proper implementation is particularly critical for small and medium enterprises (SMEs), which are characterised by limited access to financial resources. Simplified Drum–Buffer–Rope (S-DBR) is a PPC control approach that is characterised by minimum detail in the planning stage and a primary emphasis on the control of execution. Therefore, this approach is a suitable choice for the highly variable context of SMEs. This study aims to explore the practical issues related to S-DBR implementation in four Ecuadorian SMEs through case study research. The case analysis within this study first identifies the choices made in the implementation process design within the four companies according to process and product characteristics. We then conduct a cross-case analysis to explore the effects of the S-DBR implementation process designs on a group of performance measures. Our research findings provide new insights into the S-DBR implementation process in the context of SMEs, and the effects of this approach on performance measures.     

A Lean transportation approach for improving emergency medical operations

Abstract

This paper extends the approach of Lean transportation to improve the performance of emergency medical processes (EMP) by adapting its main concepts into the main characteristics of the EMP environment. The paper is based on an inductive theory-building process initiated from a case study in the field of emergency medical services. The development of the suggested performance improvement approach triggered from an exhaustive analysis of a process involved and an exploratory review of the existing improvement approaches available. The process of concern can be described as a specialized transportation process, where human lives are at risk. Its characteristics led to a natural application of Lean transportation. The results include, a novel approach for improving the agility and efficient EMS processes. This is validated with an application for improving ambulance response times and turnaround times of the Red Cross operations located in Monterrey, Mexico. The approach proved to be an integrated scheme for identifying waste opportunities at a systems level. This characteristic is important to let operations management prioritize improvement efforts in a limited budget situation. This work suggests the application of the emerging Lean transportation approach for increasing the agility performance of EMS processes.     

An analytical management framework for new product development processes featuring uncertain iterations

This paper presents an analytical framework for effective management of projects with uncertain iterations. The framework is based upon: (1) the combination of two complementary techniques, one focused on improving iterative process architectures, the Design Structure Matrix, and one focused on predicting project performance, the Graphical Evaluation Review Technique; and (2) the introduction of an activity set-based criticality measure. The intent of the framework is to help project managers and researchers identify and evaluate alternative process architectures, in order to help them determine the alternative which best balances risk and other project performance parameters, as illustrated through an example application.     

Inferring an Augmented Bayesian Network to Confront a Complex Quantitative Microbial Risk Assessment Model with Durability Studies: Application to Bacillus Cereus on a Courgette Purée Production Chain

The Monte Carlo (MC) simulation approach is traditionally used in food safety risk assessment to study quantitative microbial risk assessment (QMRA) models. When experimental data are available, performing Bayesian inference is a good alternative approach that allows backward calculation in a stochastic QMRA model to update the experts’ knowledge about the microbial dynamics of a given food‐borne pathogen. In this article, we propose a complex example where Bayesian inference is applied to a high‐dimensional second‐order QMRA model. The case study is a farm‐to‐fork QMRA model considering genetic diversity of Bacillus cereus in a cooked, pasteurized, and chilled courgette purée. Experimental data are Bacillus cereus concentrations measured in packages of courgette purées stored at different time‐temperature profiles after pasteurization. To perform a Bayesian inference, we first built an augmented Bayesian network by linking a second‐order QMRA model to the available contamination data. We then ran a Markov chain Monte Carlo (MCMC) algorithm to update all the unknown concentrations and unknown quantities of the augmented model. About 25% of the prior beliefs are strongly updated, leading to a reduction in uncertainty. Some updates interestingly question the QMRA model.     

The Union Effect on Wages in Chile: A Two‐Stage Approach Using Panel Data

We estimate the union effect on wages in Chile to be between 18 and 24 per cent. We follow a two‐stage procedure that allows us to correct the endogeneity of union status and to separate true from spurious dependence, by exploiting the union history of individuals using panel data. We find evidence of comparative‐advantage sorting in union status, strong true state dependence and a re‐distributional effect of union membership (i.e. wage gains from unionization are larger for lower‐wage earners).     

Organizational wisdom practices and firm product innovation

Review of Managerial Science - The manner in which organizational wisdom-related variables or practices (e.g., reasoning, intuition, virtue, prudence, and aesthetics) are related to firm product...