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While visual arts, drama, dance and music have been used to enhance literacy learning for many decades in preschool and primary classrooms, engaging with mobile learning can also provide many opportunities for young learners to explore and develop language and literacy. The use of mobile devices is of particular interest as technology has an impact on pedagogy and the mobility of digital devices provides many opportunities for engaged and meaningful literacy learning when teamed with the arts. In this chapter, we define the arts and their relationship with literacy learning before exploring a number of resources and practices for integrating their use in early learning settings.

To put forward the, to date, unidentified viewpoint that organisational action research and project management have many shared properties – making it a useful exercise to compare and contrast them in relation to organisational management structures and strategies.

A conceptual exploration, drawing on a wide range of supporting literature, is used here.

Project management represents a mainstay strategy for much of the organisational research seen in health care management – and has done for many years. More recently, the exploratory literature on project management has identified many limitations – especially when matched against “traditional” examples. Many health services have witnessed a more recent organisational management drive to seek out alternative strategies that incorporate less hierarchical and more participatory research methods. Action research certainly fits this bill and, on further examination, can be incorporated into a project management ethos and vice versa.

The views expressed here are of a theoretical construct and have not been implemented, as they are presented in this paper, in practice. The intention, however, is to do so in some of the author's future studies.

If the management of health service organisations are to evolve to incorporate desirable structures that promote consumer‐oriented empowerment and participation (where the consumers also include the workforce), then having a wider array of research tools at one's disposal is one way of facilitating this. Incorporating action research principles into project management approaches, or the other way round, or marrying them both to form a “hybrid” research strategy – it is argued here – represents an appropriate and representative way forward for future organisational management studies.

In terms of originality, this represents a conceptual piece of work that puts forward constructs that have, to date, not featured in the health care literature. Its value lies in suggesting further options for organisational‐oriented health care research.

Time to market is the essential aim of any new product introduction process. Performance measures are simple quantities that indicate the state of manufacturing organisations and are used as the basis of decision‐making at this crucial early stage of the process. Fuzzy set theory is a method for using qualitative data and subjective opinion. Fuzzy sets have been used extensively in manufacturing for applications including control, decision‐making, and estimation. Type‐2 fuzzy sets are a novel extension of type‐1 fuzzy sets. Aims to examine this subject.

This research explores the increased use of type‐2 fuzzy sets in manufacturing. In particular, type‐2 fuzzy sets are used to model “the words that mean different things to different people”.

A model that can leverage design process knowledge and predict time to market from performance measures is a potentially valuable tool for decision making and continuous improvement. A number of data sources, such as process maps, from previous research into time to market in a high technology products company, are used to structure and build a type‐2 fuzzy logic model for the prediction of time to market.

This paper presents a demonstration of how the type‐2 fuzzy logic model works and provides directions for further research into the design process for time to market.

The purpose of this paper is to evaluate the effectiveness of two different academic office environments in supporting collaboration and privacy.

The approach takes the form of case studies involving post‐occupancy questionnaire surveys of academic occupants.

The combi‐office design was found to be associated with higher levels of occupant satisfaction than the open‐plan office design, with respect to support for collaboration and privacy.

The findings highlight the importance of understanding user requirements and the role of office space as a cognitive resource.

Designers should consider the default location of occupants when designing academic and other creative workspaces.

Academic creativity and innovation are seen to be important for society. However, there needs to be a better understanding of how to support this through workspace design.

This study contributes to the small but growing body of research on academic office design and creative workspaces in general.

The purpose of this paper is to provide a management tool to maximise the effective time-to-market of a portfolio given the competitive monitoring activities.

From the constant monitoring of competition and market needs, it is proposed to define a time-to-need, time when the market may consume the product under development and competitor will not provide a solution before. This time-to-need is proposed to be defined by an expert committee in a periodical meeting of the portfolio. Once it is identified the time-to-need and the time-to-market (project management), it is possible to manage resources in order to maximise the portfolio outputs.

The application of the mentioned approach in an automotive industry showed improvements on number of launched new products per year (double) and on number of patented product launched (four times more).

This approach applies on projects of medium to long term (more than two years) because the resource management can consume set up time. The presented results in this work were based in a single case, which can limit the expected results of the application of this methodology.

This approach enables a constant alignment among experts and a better deployment of resources.

This work provides a practical tool to promote better resource allocation in a portfolio. It can also be an enabler of innovation projects once it finds resources potential to fund the more front end work.

The scientific community shares a heritage of knowledge generated by several different fields of research. Identifying how scientific interest evolves is relevant for recording and understanding research trends and society’s demands.

This article presents SciBR-M, a novel method to identify scientific interest evolution from bibliographic material based on Formal Concept Analysis. The SciBR-M aims to describe the thematic evolution surrounding a field of research. The method begins by hierarchically organising sub-domains within the field of study to identify the themes that are more relevant. After this organisation, we apply a temporal analysis that extracts implication rules with minimal premises and a single conclusion, which are helpful to observe the evolution of scientific interest in a specific field of study. To analyse the results, we consider support, confidence, and lift metrics to evaluate the extracted implications.

The authors applied the SciBR-M method for the Educational Data Mining (EDM) field considering 23 years since the first publications. In the digital libraries context, SciBR-M allows the integration of the academy, education, and cultural memory, in relation to a study domain.

Cultural changes lead to the production of new knowledge and to the evolution of scientific interest. This knowledge is part of the scientific heritage of society and should be transmitted in a structured and organised form to future generations of scientists and the general public.

The method, based on Formal Concept Analysis, identifies the evolution of scientific interest to a field of study. SciBR-M hierarchically organises bibliographic material to different time periods and explores this hierarchy from proper implication rules. These rules permit identifying recurring themes, i.e. themes subset that received more attention from the scientific community during a specific period. Analysing these rules, it is possible to identify the temporal evolution of scientific interest in the field of study. This evolution is observed by the emergence, increase or decrease of interest in topics in the domain. The SciBR-M method can be used to register and analyse the scientific, cultural heritage of a field of study. In addition, the authors can use the method to stimulate the process of creating knowledge and innovation and encouraging the emergence of new research.

The paper aims at investigating whether and how the product designation of origin (PDO) label influences consumers' acceptance, attributes' perception and purchase intention of PDO foods.

The study employs an experimental lab study based on the affective test of acceptance methodology with a nine-point hedonic scale. Three PDO foods are compared with similar non-PDO samples concerning cheese, cured ham and olive oil categories.

The presence of PDO labels enhances the consumers' acceptance as well as their perception of sensory attributes. A critical role of the brand name as an enhancer of consumer acceptance also emerges, highlighting the relationship between brand-name and PDO label.

The main limitation is related to the lab study methodology, which employs a small number of participants and occurs far from a “normal” situation of consumption. The acceptance test, moreover, does not provide explanations about motives underlying the differences in consumers' perception and preferences.

Practical implications are suggested for food companies concerning the management of both PDO labels and brand strategies and the product's properties that could improve the sensory perception of consumers and their overall product's acceptance.

The study contributes to the debate on consumer behaviour towards PDO foods by adding evidence about the positive influence of such a certification on individual preferences on the basis of a sensory methodology that has been little employed for studying the domain of product certifications.

The purpose of this paper is to develop a structural relationship model to study the relationship between causes and effects of poor communication and information exchange in construction projects using Smart-PLS.

The first method of this research is to identify the causes and effects factors of poor communication in construction projects from the extant of literature. The data used to develop the model was collected using a questionnaire survey, which targeted construction practitioners in the Malaysian construction industry. A five-point Likert type scale was used to rate the significance of the factors. The factors were classified under their relevant construct/group using exploratory factor analysis. A hypothetical model was developed and then transformed into Smart-PLS in which the hypothetical model suggested that each group of the cause factors has a direct impact on the effect groups. The hypothesis was tested using t-values and p-values. The model was assessed for its inner and outer components and achieved the threshold criterion. Further, the model was verified by engaging 14 construction experts to verify its applicability in the construction project setting.

The study developed a structural equation model to clarify the relationships between causes and effects of poor communication in construction projects. The model explained the degree of relationships among causes and effects of poor communication in construction projects.

The published academic and non-academic literature introduced many studies on the issue of communication including the definitions, importance, barriers to effective communication and means of poor communication. However, these studies ended up only on the general issue of communication lacking an in-depth investigation of the causes and effects of poor communication in the construction industry. The study implemented advanced structural modeling to study the causes and effects. The questionnaire, the data and concluding results fill the identified research gap of this study. The addressed issue is also of interest because communication is considered one of the main knowledge areas in construction management.