Decision making at the front end of innovation: the hidden influence of knowledge and decision criteria

Decision making at the front end of innovation is critical for the success of companies. This paper presents a method, called decision making based on knowledge (DeBK), which was created to analyze the decision‐making process at the front end. The method evaluates the knowledge of project information and the importance of decision criteria, compiling a measure that indicates whether decisions are founded on available knowledge and what criteria are in fact being considered to delineate them. The potential contribution of DeBK is corroborated through two projects that faced decision‐making issues at the front end of innovation.     

Management of perceptions of information technology service quality

The present study evaluates the perception gaps of service quality between information technology (IT) service providers and their clients. IT services require high investments, which make analyzing its effectiveness increasingly important. To do this analysis, this study uses the instrument SERVPERF of the SERVQUAL model. The research took place in a large Brazilian retail bank, which identified gaps in perceptions between IT service providers and its clients. The findings suggest opportunities for improvement in the quality of IT services from a strategic alignment perspective, particularly in the following dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The study also indicates some enhancements for the SERVQUAL model.     

Informality,tariffs and wealth

This article analyzes the interaction between changes in tariff protection, informality, inequality and aggregate income. First, we describe some new empirical evidence on informality, the formal/informal wage gap and trade openness in Latin American countries. Then we present a simple model characterized by three (empirically based) assumptions: (1) agents consume both formal and informal goods; (2) the government uses tariff revenues to purchase formal goods; (3) informality is a voluntary phenomenon. The model predicts that tariff reduction increases informality and wage inequality and that the maximization of income requires a positive level of tariff protection. The model's results are shown to be consistent with the empirical evidence concerning Latin American countries.     

The human resources approach to manpower,education and income distribution planning

This paper first presents the hypothesis relating the education of the labor force to production, along with some observations about its statistical verification. The conceptual basis for the manpower approach to educational planning appears next, followed by a discussion of its use with and without the assumption of constant labor productivity. Finally, the human resources approach to manpower and educational planning is extended to include income distribution planning. The method developed is applied to Mexico.     

Decision rules to specify the extent of division of labor

At least since Adam Smith, it has been generally accepted in economics and organization theory that for large volumes of production, division of labor reduces unit costs. Despite this, there does not seem to be any clear statement of why the division of labor produces the results attributed to it. Attempts to explain these results with the gains in productivity due to specialization do not seem to have much analytical proof or empirical verification, in particular because specialization is just a counterpart of division of labor. Operational rules to specify how large the division of labor should be in order to be beneficial do not seem to be available, either. The object of this paper is to analyse these questions in a way that could help in the solution of real problems.     

Multidimensional scaling reliability in similarity judgments about environmental sentences

The aim of this research was to analyze the stability of Multidimensional Scaling (MDS). The investigations on this topic include studies related to the assumptions of linearity and monotonicity and to the validity and reliability of MDS procedures. Centered in this last topic, a test of the reliability of MDS procedure was carried out. We employed a set of complex stimuli: 21 sentences related to environmental field. 40 subjects made similarity judgements about both pairs “sentence A — sentence B” and “sentence B — sentence A”, so obtaining one square matrix per subject. Each of these matrices was broken down into two triangular matrices that were scaled separately by INDSCAL. The coordinates of stimuli in both MDS solutions were correlated. The results show a significant correlation between the two solutions.     

The reform of the EU budget: Finding new own resources

The following paper addresses the ongoing debate on the questions of the composition and fi nancing of the European Union’s common budget. The authors argue in favour of a significant enlargement of the budget, together with a profound reform of its composition and financing.     

QRA of chemical reaction systems: The state of the practice

This paper discusses a quantitative risk assessment (QRA) of an exothermic chemical process. Fault tree/event tree techniques were used to estimate the frequency of runaway reactions that could result in over-pressure and vessel rupture. The paper focuses on the current methodology used in performing this type of study, emphasizing analytical techniques that help avoid potential time-consuming pitfalls. The challenging problem of predicting how rare sequences of events (e.g., involving failure of several engineered control and safety systems) will develop is systematically modeled using fault trees/event trees, which makes the QRA process a unique and powerful analytical tool. The results of this study provided the guidance for selecting the most appropriate action(s) to implement from a set of various design options for improving the safety of this system. Use of QRA has enabled plant management to have confidence that they are selecting the most cost-effective safety improvement option.     

Unleashing proactive low-carbon strategies through behavioral factors in biodiversity-intensive sustainable supply chains: Mixed methodology

The aim of this research is to understand the complex and relatively understudied relationship between human and behavioral factors and low-carbon management practices from the perspective of the resource-based view (RBV). Research application is in the “biodiversity sector” and consists of a survey and multiple-case study in Brazil, the richest country globally in terms of biodiversity but a country that also faces challenges in protecting biodiversity. The research problem considers the relationship between human critical success factors and the adoption of low-carbon management practices. Quantitative analysis through structural equation modeling shows the three branches of hypothesis to be accepted—the first with a higher coefficient than the second and the second with a higher coefficient than the third. It was observed that human factors influence low-carbon product management practices the most, followed by process practices and finally logistics practices. Qualitative multiple-case study research shows that companies are at different stages of maturity in relation to low-carbon management organizational practices, ranging from the highest stage to the lowest. It was found that the intensity of the presence of human critical success factors was higher where organizations had greater adoption of low-carbon management practices.