Abstract
Brochures are a versatile and ubiquitous tourism advertising medium. Although almost all types of advertisement message strategies are considered in brochure development and production, the relationship of those strategies with brand destination attributes has not been studied. Likewise an extensive inventory of executional tactics can be applied to put forward a brochure concept. This research shows the relationship among executional tactics, message strategies and destination attributes in 400 tourism brochures from around the world. On average, each message strategy is associated with seventeen executional tactics. A single brand destination attribute may work with many message strategies. However, the connection between destination attributes and executional tactics is rather loose. This media-centered approach study will provide a benchmarking profile to advertising agency and tourism destination managers in their endeavor to develop brochures.

Abstract
The objective of this study is to explore the effectiveness of three digital shopping platforms (Plain Interactive, Marker-based Augmented Reality and Markerless Augmented Reality), on the impressions and purchase intentions of consumers. The study is mainly interested in analysing whether intelligent shopping platforms with AR elements provide any added advantage to an advertised product in the form of favourable attitude or a stronger purchase impulse. During the tests with the three shopping platforms, quantitative data was collected via computerised questionnaire. High and Low class users were statistically extracted, corresponding to the high or low probability to buy or recommend the advertised brand. The results show that Markerless AR system clearly outperforms the Marker-based AR and the Plain Interactive in terms of positive attitude from the users. The second better performing system is the Marker-based AR, which closely follows the Markerless AR, while the Plain Interactive system obtains least approval.

Abstract
The purpose of the study is to examine the impact of channel governance structure on export performance ex post. The study surveyed 105 foreign buyers of crane services from five countries and used MANOVA to test the effects of channel governance structure on export short term and long term performance outcomes. The study found that short term profitability was higher for indirect distribution channel arrangements while longer term outcomes of buyer economic satisfaction and loyalty were higher for direct. The results suggest that exporters are more likely to achieve immediate financial objectives with the support from indirect channels; however, long term objectives are more effectively achieved through direct channels.

Abstract
Simulation is often used to forecast human populations. In this paper we use a novel approach by combining Micro-Macro (MicMac) models into an Agent-Based perspective to simulate and forecast the behavior of the Portuguese population. The models include migrations and three scenarios corresponding to three different expected economic growth rates. We conclude that the increase in the number of emigrants leads to a reduction of the Portuguese women that are in the fertile age. This justifies the decrease of births and therefore the general decrease of the total Portuguese Population.

Abstract
This study reviews performance criteria adequate to validate simulation models through the comparison of two quantitative data sets, concerning historical and simulated data. The criteria reviewed were organized according to its characteristics into the groups: error-based measures, information theory measures, information criteria, parametric tests, non-parametric tests, distance-based measures and combined measures. Each criterion is reviewed through its mathematic definition, its applications in literature and the identification of its advantages and drawbacks. The features assessed by each criterion are identified and discussed. This study provides a concise outline over the criteria reviewed, which can be used as a guide to help developers of simulation models into the decision on the most appropriate criteria to validate their models.

Abstract
In this paper, we present a computing procedure to analyze a network of credit and debt among agents (nodes) from a standpoint of balance sheet dependencies. The aim is to develop a method to assess thoroughly the sensitivity of the network to potential individual insolvencies. For this purpose, given a state of the network, the insolvency of an agent is assumed and the cascade of provoked insolvencies is simulated. Exploring the matrix definition of the network, this is made systematically for all agents. Therefore, in only one run of the procedure, all the possible trajectories of insolvencies, each beginning in a different agent, are calculated. This allows spotting at a glance which agents are "systemically riskier". Determination of adequate capital levels can be made on a case basis by running the procedure repeatedly. This work contributes with two new aspects to the existing literature. First, given a known situation of a credit and debt network, a computing procedure is presented that allows to assess the network sensitivity to the exogenous insolvency of any of its nodes. Second, continued monitoring of a credit and debt network is computationally feasible. This "proof of concept" software can be extended into a tool useful for research and regulation, if the relevant information is made available.