Search results

School trips to Outdoor Residential Centres can represent a significant and formative childhood tourism experience that can potentially influence adult tourism and leisure choices. Commonly located in ‘green spaces’ which range from peri-urban through to wild and natural landscapes, these centres offer adventurous outdoor activities. Alongside developmental and educational learning, children are immersed in nature experiences that can enable emotional connections with local environments. This chapter is based on a UK context, in which current policymaking is concerned with increasing inclusivity of access to British landscapes, in which many of these centres are located. It is argued here that Outdoor Residential Centres enable childhood experiences that can influence future consumer choices, alongside shaping support for the future protection of natural landscapes.

As a markedly under-explored area of the literature in the United Kingdom, this conceptual review of the literature sets out the imperative for understanding the vital role of Outdoor Residential Centres in shaping tourism futures. Through bringing together environmental education and psychology with tourism management literature, the chapter identifies the imperative for further research to enable nature connections through Outdoor Residential Centre experiences. This responds to the UK policy agenda to increase nature connections and support conservation. The application of a ‘sustainable children typology’ to a Welsh case study demonstrates how Residential Outdoor Centres enable children's empowerment through outdoor learning experiences that shape them as ‘sustainability thinkers’ and to potentially influence pro-environmental attitudes and behaviours as ‘sustainability transformers’ – and ultimately, eco-literate tourists.

Intent detection and slot filling are two important tasks in question comprehension of a question answering system. This study aims to build a joint task model with some generalization ability and benchmark its performance over other neural network models mentioned in this paper.

This study used a deep-learning-based approach for the joint modeling of question intent detection and slot filling. Meanwhile, the internal cell structure of the long short-term memory (LSTM) network was improved. Furthermore, the dataset Computer Science Literature Question (CSLQ) was constructed based on the Science and Technology Knowledge Graph. The datasets Airline Travel Information Systems, Snips (a natural language processing dataset of the consumer intent engine collected by Snips) and CSLQ were used for the empirical analysis. The accuracy of intent detection and F1 score of slot filling, as well as the semantic accuracy of sentences, were compared for several models.

The results showed that the proposed model outperformed all other benchmark methods, especially for the CSLQ dataset. This proves that the design of this study improved the comprehensive performance and generalization ability of the model to some extent.

This study contributes to the understanding of question sentences in a specific domain. LSTM was improved, and a computer literature domain dataset was constructed herein. This will lay the data and model foundation for the future construction of a computer literature question answering system.

This paper aims to address some limitations in existing approaches to the study of mis- and dis-information and offers what the authors propose as a more comprehensive approach to framing and studying these issues, geared toward the undergraduate level of learner. In doing so, the authors prioritize social shaping of technology and critical informatics perspectives as lenses for explicating and understanding complex mis- and dis-information phenomena. One purpose is to offer readers an understanding of the mis- and dis-information studies landscape, and advocate for the merit of taking the given approach the authors outline.

The paper builds upon design-based research (DBR) methods. In this paper, the authors present the actual curriculum that will be empirically researched in 2022 and beyond in a program of iterative DBR.

Findings of this conceptual paper comprise a fully articulated undergraduate syllabus for a course the authors entitled, “Disinformation Detox.” The authors will iterate upon this curriculum development in ongoing situated studies conducted in undergraduate classrooms.

The value and originality of this article is in its contribution of the ontological “innovation” of a way of framing the mis- and dis-information knowledge domain in terms of social shaping and critical informatics theories. The authors argue that the proposed approach offers students the opportunity to cultivate a complex form of what Milner and Phillips describe as “ecological literacy” that is in keeping with the mis- and dis-information problem domain.

Operations managers need to consider where to manufacture, or outsource, their manufacturing activities. A factor in location choice is productivity differences at different locations. This study aims to focus on determining productivity at the shopfloor level since this is the place where the differences in productivity ultimately affect the international competition position.

Causes for international differences in productivity for an essentially equal production technology, with an essentially equal level of shopfloor skills are determined from case analysis.

It was found that working conditions, degree of centralization, the national attitude towards time, and the motivation of the workforce influence productivity.

Productivity is dependent on factors that are connected with the external environment. Consequently, companies can not assume that productivity levels will be the same when moving to another country.

The paper illustrates factors, some outside of the company's control, that affect productivity and therefore the cost of international production.

This paper aims to explore a new concept of knowledge corruption (KC) within knowledge management with a focus on KC in high-velocity, turbulent environments (HVTEs) and its impact on business and military competitive advantage.

The conceptual paper explores existing literature and then develops new models involving the impact of KC on knowledge transfer and the moderating variables of culture and leadership in HVTEs.

Several new models are proposed including knowledge transfer and corruption in HVTEs with possible forms of KC, the relationships of variables in tacit knowledge transfer (TKT) and KC in HVTEs and organizational archetypes for TKT and KC.

While the literature review provides a decent analysis of existing theories and models, the review is not exhaustive, and there may be alternative models and theories not covered.

The development of new models and theories within the field of knowledge management on KC in HVTEs represents important practical knowledge for management to reduce KC within their organizations to improve more effective knowledge transfer for sustainable innovation and better decision-making.

This paper provides a new, unique look at aspects of knowledge management that are currently underserved. The concepts of KC and HVTEs represent original content within this field.