Zoekresultaten

The Future of Backpacking

By use of a literature review and an environmental scan four plausible future scenarios will be created, based on the research question: How could the future of backpack tourism look like in 2030, and how could tourism businesses anticipate on the changing demand. The scenarios, which allow one to ‘think out of the box’, will eventually be translated into recommendations towards the tourism sector and therefore can create a future proof company strategy.

Towards a global quality framework for assistive technology service delivery

Assistive technology supports maintenance or improvement of an individual’s functioning and independence, though for people in need the access to assistive products is not always guaranteed. This paper presents a generic quality framework for assistive technology service delivery that can be used independent of the setting, context, legislative framework, or type of technology. Based on available literature and a series of discussions among the authors, a framework was developed. It consists of 7 general quality criteria and four indicators for each of these criteria. The criteria are: accessibility; competence; coordination; efficiency; flexibility; user centeredness, and infrastructure. This framework can be used at a micro level (processes around individual users), meso level (the service delivery scheme or programme) or at a macro level (the whole country). It aims to help identify in an easy way the main strengths and weaknesses of a system or process, and thus guide possible improvements. As a next step in the development of this quality framework the authors propose to organise a global consultancy process to obtain responses from stakeholders across the world and to plan a number of case studies in which the framework is applied to different service delivery systems and processes in different countries.

Understanding different types of recreational runners and how they use running-related technology

This study aims to help professionals in the field of running and running-related technology (i.e., sports watches and smartphone applications) to address the needs of runners. It investigates the various runner types—in terms of their attitudes, interests, and opinions (AIOs) with regard to running—and studies how they differ in the technology they use. Data used in this study were drawn from the standardized online Eindhoven Running Survey 2016 (ERS2016). In total, 3723 participants completed the questionnaire. Principal component analysis and cluster analysis were used to identify the different running types, and crosstabs obtained insights into the use of technology between different typologies. Based on the AIOs, four distinct runner types were identified: casual individual, social competitive, individual competitive, and devoted runners. Subsequently, we related the types to their use of sports watches and apps. Our results show a difference in the kinds of technology used by different runner types. Differentiation between types of runners can be useful for health professionals, policymakers involved in public health, engineers, and trainers or coaches to adapt their services to specific segments, in order to make use of the full potential of running-related systems to support runners to stay active and injury-free and contribute to a healthy lifestyle.

Chat GPT in the Co-creation process for Applied Research Projects

ChatGPT’s emergence and subsequent evolution as a generative artificial intelligence tool introduces new ways of assisting students with research design. Fostering research skills with undergraduate students presents opportunities and challenges for faculty to aid with drafting research plans, questions for investigation, and methods for conducting the research. While some educators rightfully voice concerns over the ethical aspects of such a tool, this article will draw on my own experiences using ChatGPT 4.0 as a tool in research project supervision. I demonstrate how to prompt ChatGPT to give useful suggestions that can be used as actionable feedback. I also discuss how to instruct students to include ChatGPT in their research methodology when using the tool to refine research questions.

Technology disruption and shifting perceptions: a dynamic change perspective on how employees make sense of technology-driven organizational change in Dutch travel industry

Carbon offsetting: motives for participation and impacts on travel behaviour

Climate change has been described as the greatest environmental challenge of our time, not only for mankind (UN, 2011), but also for tourism (OECD-UNEP, 2011). Severe impacts of climate change, generally linked to exceeding 2°C global temperature rise, can only be prevented to some extent by drastically reducing the use of fossil fuels and thereby greenhouse gas (GHG) emissions within the next few decades. In this respect, an 80-95 per cent reduction of CO2 emissions by 2050 compared to 1990/2000 levels is recognised as the minimum required effort (Allison et al., 2009; Rogelj et al., 2011). Even with a full implementation of these goals, an increase above 2°C is not unlikely (World Bank, 2012). The contribution of global tourism to anthropogenic CO2 emissions has been estimated at around 5 per cent for 2005, corresponding to 1,302 Mt CO2, 75 per cent of which were from transport and 40 per cent from aviation alone. Tourism’s CO2 emissions are estimated to increase 135 per cent (to 3,000 Mt CO2) by 2035, which includes the high efficiency gains forecasted for air transport (Peeters and Dubois, 2010; UNWTO-UNEP-WMO, 2008). The share of aviation will increase as air travel is expected to grow faster than overall tourism trips (ICAO, 2010; UNWTO, 2011). Emission scenarios for civil aviation vary from 1,034 to 3,105 Mt CO2 for 2050 (Lee et al., 2013). The further development of tourism CO2 emissions is in stark contrast to the aforementioned global emission reduction needs. In fact, when assuming this business-as-usual growth path, tourism would exceed the global economy’s reduced emission budget by midcentury on its own (Scott et al., 2010). Given these developments it is not surprising that some regard the (mainstream) tourism industry as becoming less sustainable (Bramwell and Lane, 2012; Buckley, 2012; Gössling et al., 2012). In acknowledgement of the limited short-term energy reduction potential of technological improvements in aviation and the absence of short-term structural changes in travel behaviour, carbon offsetting has been accepted as an intermediate, albeit less effective solution for mitigating tourism emissions. This research aims to register the motives for buying offsets, but more particularly the effect of offsetting, as well as not offsetting, on the travel behaviour of Dutch tourists.