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Security requirements play an important role in software development. These can be specified both in enterprise architecture models and in business processes. Enterprises increasingly carry out larger amounts of business processes where security plays a major role. Business processes including security can be automatically obtained from enterprise architecture models by applying a model-driven architecture approach, through a CIM to CIM transformation. The aim of this article is to present the specification of transformation rules for the correspondence between enterprise architecture and business process model elements focusing on security.

This work utilizes motivational aspects of the ArchiMate language to model security in the business layer of enterprise architectures. Next, a set of transformation rules defined with the Atlas Transformation Language are utilized to obtain the correspondence of the enterprise architecture elements in a business process, modelled with a security extension of BPMN.

A total of 19 transformation rules have been defined. These rules are more complex than element to element relations, as they take into consideration the context of the elements for establishing the correspondence. Additionally, the prototype of a tool that allows the automatic transformation between both models has been developed.

The results of this work demonstrate the possibility to tackle complex transformations between both models, as previous literature focuses on semantic correspondences. Moreover, the obtained models can be of use for software developers applying the model-driven approach.

The purpose of this paper is to identify the characteristics of consumers of organic food, based on their motivations.

A questionnaire based on the Food Choice Questionnaire was applied to a 656 consumers. A multivariate factor analysis and cluster analysis was performed to the data.

Seven factors were identified: ecological concern; nutritional content; availability of natural products; sensory aspects; certifications, health and confidence; and economic aspects. Resulting clusters were named as: conscious and interested in certification; conscious with no interest in certification; opportunist in transition; unconscious opportunist. There are signs of different consumers. The consumers of these products are characterised by an interaction between hedonic and ethical motivations, where the most important motivation is environmental concern and the least important are the economic aspects.

The reduced number of alternative markets in Mexico limits the amplitude of the research.

The work herein reported is pioneer and contributes to reduce the lack of studies on the motivations and characteristics of consumers of organic foods in Mexico. Findings may set a path for new research in other cultural contexts; as well as for more specific work in Mexico as of consumers of industrialised organic products.

Characterising consumers of organic foods will enable the development of these markets.

Social studies of eating habits have taken place in European countries; and several works have been developed in other areas of the world to determine the way in which consumers build their preferences and food choice patterns. In Mexico, specifically in organic foods, studies have focussed in agrarian economics, but the analysis of motivations for choice has not been addressed. Therefore, it is important to research this issue given the relevance for consumers.

Tropical storms Urduja and Vinta battered the Philippines in December 2017. Despite advances in disaster risk reduction efforts of the country, the twin December storms caused numerous deaths in the Visayas and Mindanao regions. Analysis of these events shows that alerts raised during the Pre-Disaster Risk Assessment (PDRA) for both storms were largely ineffective because they were too broad and general calling for forced evacuations in too many provinces. Repeated multiple and general warnings that usually do not end up in floods or landslides, desensitize people and result in the cry-wolf effect where communities do not respond with urgency when needed. It was unlike the previous execution of PDRA from 2014 to early 2017 by the National Disaster Risk Reduction and Management Council (NDRRMC), which averted mass loss of lives in many severely impacted areas because of hazard-specific, area-focused and time-bound warnings. PDRA must reinstate specific calls, where mayors of communities are informed by phone hours in advance of imminent danger to prompt and ensure immediate action. Mainstreaming Climate Change Adaptation and Disaster Risk Reduction information using probabilistic (multi-scenario) hazard maps is also necessary for an effective early warning system to elicit appropriate response from the community. The paper aims to discuss these issues.

Methods of early warning through the PDRA of the National Disaster Mitigation and Management Council (NDRRMC) of the Philippines during tropical storm Urduja and Typhoon Vinta were assessed in this study and compared to the previous PDRA system from 2014 to early 2017.

It was found out that the numerous casualties were due to inadequate warning issued during the approach of the tropical cyclones. During an impending hazard, warnings must be accurate, reliable, understandable and timely. Despite the availability of maps that identified safe zones for different communities, warnings raised during the PDRA for both tropical cyclones were deemed too general calling for evacuations of whole provinces. As such, not all communities were evacuated in a timely manner because of failure in the key elements of an effective early warning system.

To avoid future disasters from happening, it is recommended that the PDRA reinstate its hazards-specific, area-focused and time-bound warnings. Similarly, to increase the resilience of communities, more work on mainstreaming of Climate Change Adaptation and Disaster Risk and Vulnerability Reduction systems for communities must be done as well. Learning from the lessons of these previous disasters will enable communities, their leaders and every stakeholder, not to repeat the same mistakes in the future.