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This paper aims to show that tourism is one of the most perfect creations of the capitalist mode of production insofar as not only does it consume places and territories and perpetuate dependency relations, but in the expressive dimension, it also produces feelings and meanings and generates a new relationship of the past with the present and future (chronotope).

The study was carried out using a socio-anthropological approach with participant observation over several decades.

The modes of time are described and how the tourism chronotope shapes the historic centre of a consolidated tourist destination. The case study, analysed with the model of the “conversion of place through the mediation of tourism space”, illustrates the prevalence of instrumental and commercial values over one’s own aesthetic-expressive values in tourism contexts. This fact encourages the emergence of local political projects and the incorporation of uniformities outside the local place. These processes end up uprooting the anchors from collective memory. The definition of territories according to visitors’ imaginaries and expectations encourages the abusive occupation of public space and the adoption of new aesthetic attributes of urban space.

Because of the chosen research approach and methodologies, the research results may lack generalisability. Therefore, researchers are encouraged to test both the model and the propositions further.

This study approaches the relationship of the idea Tourism with the idea Development based on the anchors of memory.

The authors propose the concept of “Autonomic Cycle for innovation processes,” which defines a set of tasks of data analysis, whose objective is to improve the innovation process in micro-, small and medium-sized enterprises (MSMEs).

The authors design autonomic cycles where each data analysis task interacts with each other and has different roles: some of them must observe the innovation process, others must analyze and interpret what happens in it, and finally, others make decisions in order to improve the innovation process.

In this article, the authors identify three innovation sub-processes which can be applied to autonomic cycles, which allow interoperating the actors of innovation processes (data, people, things and services). These autonomic cycles define an innovation problem, specify innovation requirements, and finally, evaluate the results of the innovation process, respectively. Finally, the authors instance/apply the autonomic cycle of data analysis tasks to determine the innovation problem in the textile industry.

It is necessary to implement all autonomous cycles of data analysis tasks (ACODATs) in a real scenario to verify their functionalities. Also, it is important to determine the most important knowledge models required in the ACODAT for the definition of the innovation problem. Once determined this, it is necessary to define the relevant everything mining techniques required for their implementations, such as service and process mining tasks.

ACODAT for the definition of the innovation problem is essential in a process innovation because it allows the organization to identify opportunities for improvement.

The main contributions of this work are: For an innovation process is specified its ACODATs in order to manage it. A multidimensional data model for the management of an innovation process is defined, which stores the required information of the organization and of the context. The ACODAT for the definition of the innovation problem is detailed and instanced in the textile industry. The Artificial Intelligence (AI) techniques required for the ACODAT for the innovation problem definition are specified, in order to obtain the knowledge models (prediction and diagnosis) for the management of the innovation process for MSMEs of the textile industry.

Drawing on social feminist theory, this paper aims to close gaps between knowledge about gender-related barriers to information, communication and technology (ICT) adoption and the provision of entrepreneurship education and training (EET) programs.

Empirical findings are drawn from 21 semi-structured interviews (22 informants) possessing differing training expertise regarding digital technology among women entrepreneurs. An open-coding technique was adopted where descriptive codes were first assigned to meaningful statements. Interpretive and pattern codes were then assigned to indicate common themes and patterns, which were reduced to higher-order categories to inform the research questions.

The findings specify and validate further gender influences in the digital economy. Digital skills are identified, and strategies to close gender barriers to ICT adoption with EET are described. The findings are discussed in reference to a large-scale, Canadian ICT adoption program.

Perceptual data may be idiosyncratic to the sample. The work did not control for type of technology. Gender influences may differ by type of technology.

Findings can be used to construct gender-inclusive ICT supports and inform ICT adoption policies. This includes program eligibility and evaluation criteria to measure the socio-economic impacts.

The study is among the first to examine the intersection between knowledge about gender-related barriers to ICT adoption and EET. The findings can be adopted to ICT support programs targeted at small business owners and entrepreneurs.

This study aims to propose a computationally efficient framework for multi-objective optimization (MO) of antennas involving nested kriging modeling technology. The technique is demonstrated through a two-objective optimization of a planar Yagi antenna and three-objective design of a compact wideband antenna.

The keystone of the proposed approach is the usage of recently introduced nested kriging modeling for identifying the design space region containing the Pareto front and constructing fast surrogate model for the MO algorithm. Surrogate-assisted design refinement is applied to improve the accuracy of Pareto set determination. Consequently, the Pareto set is obtained cost-efficiently, even though the optimization process uses solely high-fidelity electromagnetic (EM) analysis.

The optimization cost is dramatically reduced for the proposed framework as compared to other state-of-the-art frameworks. The initial Pareto set is identified more precisely (its span is wider and of better quality), which is a result of a considerably smaller domain of the nested kriging model and better predictive power of the surrogate.

The proposed technique can be generalized to accommodate low- and high-fidelity EM simulations in a straightforward manner. The future work will incorporate variable-fidelity simulations to further reduce the cost of the training data acquisition.

The fast MO optimization procedure with the use of the nested kriging modeling technology for approximation of the Pareto set has been proposed and its superiority over state-of-the-art surrogate-assisted procedures has been proved. To the best of the authors’ knowledge, this approach to multi-objective antenna optimization is novel and enables obtaining optimal designs cost-effectively even in relatively high-dimensional spaces (considering typical antenna design setups) within wide parameter ranges.

This paper aims to present a description of the development and implementation of a combined school- and community-based intervention for the prevention of overweight among children, using the combined methods of social marketing (SMk) and intervention mapping (IM).

The SMk total process planning (TPP) framework was used, a simple but robust framework that consists of five stages: scoping, development, implementation, evaluation and follow-up. In addition, IM tools were embedded in the development stage to strengthen the development element of the campaign.

The use of the SMk TPP framework led to the selection of one specific target segment and behaviour. IM tools helped to select the most important and modifiable determinants and behaviours in the target segment, as well as to select and appropriately apply theoretical methods for influencing determinant and behaviour change. The resulting “Water Campaign” was aimed at Turkish and Moroccan mothers and their 6-12-year-old-children (target segment). This intervention addresses the consumption of sugar-sweetened beverages through the promotion of tap water drinking (target behaviour). The systematic involvement of key stakeholders resulted in capacity-building and co-creation.

A key finding of the present work is that the SMk TPP framework and IM tools can be successfully combined in intervention development, helping to develop enhanced interventions. Combining these methods led to a theory-based and client-oriented intervention, which was directed at multiple ecological levels and which systematically involved key stakeholders. With this detailed description of the intervention development, this paper aims to assist other researchers and practitioners in their quest to develop better interventions.

The purpose of this paper is to reveal how support services for open and distance students are designed, developed and implemented to ensure successful learning to take place, with specific references to the Open University of Sri Lanka (OUSL) and Universitas Terbuka (UT) Indonesia. Success in distance learning is one major challenge for open universities to respond to expectations of students and stakeholders. This study focuses on the strategies of student support services in OUSL and UT, investigating related factors including instructional design and development, learning engagement and motivation, policy and strategy in reducing dropouts, use of OER/MOOCs, and quality assurance.

A qualitative study was employed involving analyses of documents; interviews and focus group discussion with senior administrators, academic staff, students; and on-site observation in locations of teaching and learning.

This research is exploratory in nature. Findings of the study are expected to improve our understanding of student support in distance learning, in which analysis is based on good practices, challenges and rooms for improvement of both OUSL and UT.

Findings of this study reveal practices and lessons learnt that may be useful as reference to open universities, taking into considerations the fact that each open university has been established to address specific challenges in its own unique circumstances.

This research may be adopted as baseline framework for analysis of student support for open universities. Further in-depth study is needed to understand how various aspects of student support contribute to success in open and distance learning.