An Agent-Based Decision Support Model for the Development of E-Services in the Tourist Sector

This paper regards cultural heritage as a strategic development tool for urban tourist policy. It highlights the use of e-services as a central instrument in a competitive tourist sector. The appropriate choice of e-services - and packages thereof - depends on the various strategic considerations of urban stakeholders (agents) and may differ for each individual city. The paper offers a systematic analysis framework for supporting these choices and deploys multi-criteria analysis as a systematic evaluation methodology, in particular the Regime method. The evaluation framework is exemplified through an application to three field cases in Europe, viz. the cities of Amsterdam, Genoa and Leipzig. Our analysis concludes that tailor-made packages of e-services that serve the needs of the stakeholders can be made with the help of our evaluation tools.cultural heritage, e-services, city marketing, agent-based decision support model

Customer empowerment in tourism through Consumer Centric Marketing (CCM)

We explain Consumer Centric Marketing (CCM) and adopt this new technique to travel context. Benefits and disadvantages of the CCM are outlined together with warnings of typical caveats Value: CCM will be expected as the norm in the travel industry by customers of the future, yet it is only the innovators who gain real tangible benefits from this development. We outline current and future opportunities to truly place your customer at the centre and provide the organisation with some real savings/gains through the use of ICT Practical Implications: We offer tangible examples for travel industry on how to utilise this new technology. The technology is already available and the ICT companies are keen to establish ways how consumers can utilise it, i.e. by providing ‘content’ for these ICT products the travel industry can fully gain from these developments and also enhance consumers’ gains from it. This can result in more satisfied customers for the travel (as well as ICT) companies thus truly adopting the basic philosophy of marketin

AN AGENT-BASED DECISION SUPPORT MODEL FOR THE DEVELOPMENT OF E-SERVICES IN THE TOURIST SECTOR

This paper regards cultural heritage as a strategic development tool for urban tourist policy. It highlights the use of e-services as a central instrument in a competitive tourist sector. The appropriate choice of e-services – and packages thereof – depends on the various strategic considerations of urban stakeholders (agents) and may differ for each individual city. The paper offers a systematic analysis framework for supporting these choices and deploys multi-criteria analysis as a systematic evaluation methodology, in particular the Regime method. The evaluation framework is exemplified through an application to three field cases in Europe, viz. the cities of Amsterdam, Genoa and Leipzig. Our analysis concludes that tailor-made packages of e-services that serve the needs of the stakeholders can be made with the help of our evaluation tools.

Community-based Data Gathering and Co-management of Marine Resources in Timor-Leste

This the final technical report regarding communication products and outputs created as a result of lessons learned from eleven years of the Fisheries Management Science Programme (FMSP). These lessons, together with tools, methods and informative experiences have been brought together into accessible communications products that aim to highlight the FMSP experiences in relation to fisheries co-management and lead the reader towards the more detailed products available. As such the project has not aimed to generate any particular new insights into any aspect of the co-management process but instead to communicate what exists to a range of stakeholders. The project has developed a communication strategy that has identified a range of target communications stakeholders including policy makers, implementing agencies and agencies with a capacity building remit who might benefit from the lessons learned. The communications strategy was developed together with two other projects to ensure a coordinated approach to the promotion of products relating to co-management and a single communications database was established through which the strategy could be implemented. Based on lessons learned in earlier uptake promotions projects, a range of communications products were developed

MICRO-MOMENTS OF USER EXPERIENCE: AN APPROACH TO UNDERSTANDING ONLINE USER INTENTIONS AND BEHAVIOR

In recent years, in the advent of global internet availability and almost equally omnipresent mobile device usage, online user behavior together with the resulting experience has been changing and evolving at a significant pace. Users do not only spend more time online, they consult online resources and seek information for various goals and are motivated by a variety of needs: those intent-driven actions are dispersed throughout the day (or night) and integrated within their daily activities. The user behavior is determined by specific micro-moments which are truly the moments of consumer needs and therefore the moments the marketers need to be a part of. Furthermore, mobile devices and smartphones in particular, possess the ability to promptly meet the immediate needs of their users thus shaping new opportunities for marketers to capture and utilize. In order to have a better understanding of online user intention and behavioral patterns, the paper provides an insight of recent studies of user micro-moments within the digital environment. The main goal of this paper is to provide an overview of recent academic and professional papers on the changes in online user experience and behavior and suggest the theoretical background for further research. Mobile devices can directly influence user behavior and emotional states by addressing a wide variety of information needs. The implications of these findings are important as they empower the possibilities of direct marketing in the digital era

MICRO-MOMENTS OF USER EXPERIENCE: AN APPROACH TO UNDERSTANDING ONLINE USER INTENTIONS AND BEHAVIOR

In recent years, in the advent of global internet availability and almost equally omnipresent mobile device usage, online user behavior together with the resulting experience has been changing and evolving at a significant pace. Users do not only spend more time online, they consult online resources and seek information for various goals and are motivated by a variety of needs: those intent-driven actions are dispersed throughout the day (or night) and integrated within their daily activities. The user behavior is determined by specific micro-moments which are truly the moments of consumer needs and therefore the moments the marketers need to be a part of. Furthermore, mobile devices and smartphones in particular, possess the ability to promptly meet the immediate needs of their users thus shaping new opportunities for marketers to capture and utilize. In order to have a better understanding of online user intention and behavioral patterns, the paper provides an insight of recent studies of user micro-moments within the digital environment. The main goal of this paper is to provide an overview of recent academic and professional papers on the changes in online user experience and behavior and suggest the theoretical background for further research. Mobile devices can directly influence user behavior and emotional states by addressing a wide variety of information needs. The implications of these findings are important as they empower the possibilities of direct marketing in the digital era

Introduction to location-based mobile learning

[About the book] The report follows on from a 2-day workshop funded by the STELLAR Network of Excellence as part of their 2009 Alpine Rendez-Vous workshop series and is edited by Elizabeth Brown with a foreword from Mike Sharples. Contributors have provided examples of innovative and exciting research projects and practical applications for mobile learning in a location-sensitive setting, including the sharing of good practice and the key findings that have resulted from this work. There is also a debate about whether location-based and contextual learning results in shallower learning strategies and a section detailing the future challenges for location-based learning