我们并肩前行

我们是谁？我们是北欧警务及海关事务联络处目前的3名成员：Frc，deZ．Olsen，59岁，来自丹麦警方，已有34年的警务执法经验；JyrkiKaipanen，41岁，拥有19年的芬兰警务执法经验；AIexilndrltWang，33岁，联络处的助于和翻译.     

Sustainability-oriented Service Innovation: fourteen-year longitudinal case study of a tourist accommodation provider

Abstract

Progressing sustainable tourism requires both an innovative transition from “unsustainable” tourism and innovative research methods to develop theory and concepts for a sustainable tourism. While there are many ad hoc examples of initiatives, there are very few examples of firms systematically recording their medium-term evolutionary progress. This case study of an accommodation provider uses longitudinal data over 14 years, deductive and inductive methods, and comparison with other similar eco-friendly providers, to provide the first exploration of sustainability-oriented innovation by a firm attempting to make transitions. Findings show how important hindsight and insight are for continuous learning, and how broader community sustainability issues influence the owners’ worldviews. Both learning and changing views are required to support innovation. A Sustainability-oriented Service Innovation model is recommended, recognising the characteristics of a service industry where innovation can be an organic process led by humans for humans and consequently more fuzzy in its progress than the clearly defined steps that are suggested by previous research. This model seeks to assist researchers and practitioners to better measure innovative progress of service firms, and develop more relevant strategies to ease transitions towards sustainable business practices.     

An interactive perspective on business in practice and business in theory

For nearly a quarter of a century researchers engaged in business exchange have met on the annual IMP Conferences to share their experiences, with the phenomenon of interaction and business relationships; its sources, content and effect for the larger business landscape. This special issue’s selection of papers from the 2008 IMP Conference gives a nice illustration of the width and depth in this research. The issue includes considerations of interdependencies in dyadic business relationships, in connected business relationships and among business and non-business organizations. Finally, it includes a discussion of the emergences of research communities like IMP, and stresses the importance of the organically emerging interaction among researchers representing both similar and dissimilar theoretical and empirical interpretations of the dynamics of the business landscape.     

Have Australia's tourism strategies incorporated climate change?

Tourism is widely acknowledged as a key contributor to climate change, but it remains unclear how the tourism industry has been planning for climate change in practice. This paper conducts the most comprehensive critical review of Australia's tourism policy and planning documents to date. The paper explores the complex challenges posed by climate change to tourism and how tourism policy has been adapting over a 15-year period. Drawing on a longitudinal data-set of 477 Australian tourism policy and planning documents at the national, state, regional and local level, this research analyses the strategic discourse on climate change using content analysis and bibliometrics. The findings reveal opportunities, challenges and strategies for the tourism industry to contribute to the sustainable management of climate change. Opportunities include developing more “green” products, while strategies include establishing and/or participating in collaborative climate change schemes and strengthening dialogue surrounding climate change to aid the implementation of sustainable practices. Future research should consider the broader policy-making environment, such as the stakeholders, power and interest dynamics when analysing tourism strategies in relation to climate change.     

Applying a transformative learning framework to volunteer tourism

This paper applies the educational theory of transformative learning to reconceptualising the practices of volunteer tourism. The theory of transformative learning posits a 10-step process to experience a radical shift in consciousness that dramatically and irreversibly alters how participants see their place in the world. Volunteer tourism has commonly been seen as a form of alternative tourism that provides a cathartic experience for the volunteer tourists and benefits to the hosting organisation and the natural and/or social environment of the project. Existing research suggests that these outcomes have not, as yet, been achieved by current practices in this sector. In referring to the theory of transformative learning we note that some, but not all, of the 10 steps have been applied and that we might therefore expect volunteer tourism to fall short of its promises. We conclude that the theory of transformative learning offers a useful framework for volunteer tourism, providing insights into the need to create opportunities for participants to complete the transformative process. We suggest that volunteer tourism organisations redesign their activities to include the remaining steps of transformative learning to improve their product for both the tourists and the sustainability outcomes of the projects.     

Facilitating reef tourism management through an innovative importance-performance analysis method

This study presents a quantitative analysis of visitor satisfaction and its relation to tourism attributes on the Great Barrier Reef, Australia. It applies a modified version of the importance-performance analysis to determine various attributes’ range of impact on, and asymmetrical contribution to, visitor satisfaction. The analysis of 369 visitor surveys identified a complex relationship between satisfaction and environmental, operational and customer service attributes. It also identified those attributes which have a strong satisfaction-generating potential when they perform well, such as the diversity of the marine life, interactions with other passengers, comfort of the boat, quality of the entertainment, knowledgeable crew, quality of the information provided and the destination of the trip, and attributes with a high dissatisfaction-generating potential when they perform poorly, e.g. customer service, comfort of the trip, weather, quality of the coral, and cost of the trip. The study also considers the use of attribute-based studies of satisfaction within protected-area tourism and the management of visitor experiences.     

The Evolution of Certainty in a Small Decision-Making Group by Consensus

We propose a dynamical systems model for approximating the certainty as a function of communication. Uncertainty is measured during a small group decision-making process, in which participants aim to reach consensus. Assuming that the communication is a one-dimensional continuum variable, both first- and second-order differential models of certainty are analyzed, and then, the general model is obtained by superposition. An experiment was organized, and the data have been used to test the model. A detailed discussion on the assumptions of this approach from the decision theory point of view is also included.     

Forecasting the Malmquist productivity index

The Malmquist Productivity Index (MPI) suggests a convenient way of measuring the productivity change of a given unit between two consequent time periods. Until now, only a static approach for analyzing the MPI was available in the literature. However, this hides a potentially valuable information given by the evolution of productivity over time. In this paper, we introduce a dynamic procedure for forecasting the MPI. We compare several approaches and give credit to a method based on the assumption of circularity. Because the MPI is not circular, we present a new decomposition of the MPI, in which the time-varying indices are circular. Based on that decomposition, a new working dynamic forecasting procedure is proposed and illustrated. To construct prediction intervals of the MPI, we extend the bootstrap method in order to take into account potential serial correlation in the data. We illustrate all the new techniques described above by forecasting the productivity index of 17 OECD countries, constructed from their GDP, labor and capital stock.