Abstract
For the project of an Agile/Virtual Enterprise (A/V E) the resources selection is a key factor. The resources systems (output of the selection process) should be prepared to guarantee quality, efficiency and cost-attractiveness, in order to ensure the agility and integrability of the A/V E. This is a difficult matter because it can be a combinatorial and multi-criteria problem. Despite the potential of Value Analysis (VA), none of the resources selection models found in the literature incorporates the evaluation of the resources value. They approach mainly the factors cost and/or time. So, our model constitutes an innovative approach because it gives the highest importance to the value of the resources systems, through the incorporation of VA. The main objective is to quantify the selection process performance with VA integrated into the pre-selection of resources in accordance with the developed model. The paper contribution is the positive confirmation, through the simulation results analysis, of the benefits of VA integration in the resources selection process: greater applicability domain for candidate resources and number of tasks; and reduction of the selection time. In conclusion, the increased efficiency and the superior applicability domain of the model are demonstrated.

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Abstract
To summarise this editorial, we attempted to briefly chart out some developments in related areas of governance and sustainability. As this field is a 'never ending story', novel questions and problems stem requiring equally novel solutions. At the end, the guest editors hope, and would like, that this special issue will beuseful, meeting the expectations of the authors and wider readership and serving for enhancing the individual and collective learning, theoretical insight and practical applications, and to incentive further scientific development and creation of new papers.

Abstract
Online gambling has skyrocketed in recent years. As such, knowing the determinants of consumer usage behavior is crucial in understanding online gambling services. This study has as main objective the construction of an explanatory model of the online gambling services usage behavior, based on the incorporation of perceived risk in the conceptual framework of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The empirical validation of the model was performed by conducting an online survey to a convenience sample of 212 Portuguese online players. Data were processed using the PLS-SEM methodology. The results evidence that performance expectancy, social influence, facilitating conditions, hedonic motivations, price value, habits, as well as perceived risk influence the intention to use online gambling services.

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Purpose - The purpose of this paper is to identify and compare different groups of customers' perceptions (i.e. stayers, switchers, and heavy switchers) of several loyalty antecedents such as satisfaction, trust, service quality, switching costs, marketing communication, and loyalty itself. Design/methodology/approach - This study was carried out based on data collected through a questionnaire from 353 telecommunication services users in Portugal and using confirmatory factor analysis (CFA) and analysis of variance. Findings - The three types of customers - stayers, switchers, and heavy switchers - clearly differ among themselves. Stayers differ from switchers regarding their communication efforts perceptions, and from heavy switchers in their loyalty, satisfaction, and trust levels. Switchers differ from heavy switchers in their loyalty levels. Research limitations/implications - Future research should examine differences between customers taking into account the impact of their personality, price sensitiveness, and orientation toward the adoption of new technologies. Practical implications - As there are several differences among stayers, switchers, and heavy switchers, companies should not only recognize the heterogeneity of their customer base, but also target their marketing efforts accordingly. Originality/value - This study is one of the few identifying groups of customers perception's toward service providers. It also complements previous research by splitting them intro three different groups and by analyzing their behaviors across a set of previously unexamined marketing variables.

Abstract
Car safety is an essential feature of marketing strategies for automobile companies. In this work, a statistical analysis on crash tests is conducted based on data available from European New Car Assessment Programme (Euro NCAP). The research work developed in this chapter presents a statistical analysis of the information produced by Euro NCAP, using the SPSS and MATLAB software, and seeks to answer the following research questions: - are there statistically significant differences on adult occupant safety in the six years under study? - are there statistically significant differences among the best-selling car classes regarding safety in frontal collisions? - are electric and hybrid automobiles less secure than their traditional counterparts with respect to frontal collisions?