Prosper. An evaluation of tourism's contribution to regional economies

Prosper has delivered a three part model for assessing and enhancing the value of tourism in regional areas. The first part of the model uses simple indicators to provide an assessment of the economic, social, and environmental value attached to tourism. An indicators approach was adopted following extensive review of the application of more complex approaches to regional economic analysis. The review found that complex approaches are unlikely to produce results of sufficient validity and applicability to warrant their high resource costs (time, money, and skills). Complex models are also more difficult to maintain. The economic value is represented through quantitative indicators relating to employment and the number of businesses in tourism related sectors. These are all relative indicators (for example, proportion of all businesses which are businesses in the tourism sector or proportion of change in employment that can be attributed to change in tourism related employment). These indicators are drawn from national data sets which provide information for statistical local areas and/or postcode areas. This offers the opportunity to develop and deliver consistent national profiles through a vehicle such as Decipher. National standard data sets are supplemented in the model by more qualitative assessments of tourism’s contribution to the local economy made by business operators through interviews or surveys. Again, tracking the change in these assessments over time is the key to the model. Social and environmental values are substantially more difficult to assess. The Prosper case studies have included qualitative assessments derived from business and community meetings, local government and other administrative documents, media and a simplified network analysis identifying the extent to which community based organisations interact with the delivery of tourism services. Data sets have been identified which would allow a quantitative analysis of the extent to which tourism activity (visitor movements, business activity, business construction) encroaches on environmentally sensitive areas or is responsible for redevelopment or preservation of built environments. The case studies have not been able to implement this quantitative analysis. The second part of the model conducts a ‘diagnostic’ assessment of the capacity in the region to harness the value of tourism through innovation. Innovation is seen as a very important mechanism for both identifying regional issues and developing responses to those issues. Innovation is widely accepted in the literature as a driver of economic growth, and concepts such as ‘systems of innovation’ and ‘regional systems of innovation’ have become common in understanding how that innovation can be encouraged and placed within technical or geographical contexts. The diagnostic element of the Prosper model uses a series of techniques (including historical document analysis, interviews, and network analysis) to investigate the characteristics of region’s human tourism resources in relation to their ‘innovation potential’. Innovation potential is influenced by: • Economic competence – the extent to which those resources include capacity to manage projects and implement new ideas; • Clustering of resources – the spatial relationships between tourism attractions and amenities and nontourism amenities and resources which may be critical in the delivery of tourism product; • Networks – the social and professional relationships between tourism attractions and amenities and nontourism amenities and resources which may be critical in the delivery of tourism product; • Development blocks – the existence of sufficient new resources or new ways of looking at existing resources to provide opportunities for innovation. Development blocks need also to be a source of tension or disequilibrium so that their use is contested and therefore options more likely to be scrutinized as to their viability; • Entrepreneurship – the capacity for human resources to engage in new tasks and drive activity; • Critical mass – the relationship between the capacity to supply tourism product, and the capacity to access sufficient and appropriate markets (including resident markets) to support ongoing supply; • Local government – the extent to which local government considers tourism an important issue and is willing to engage in the innovation process • Production and distribution of knowledge – the extent to which the history and current status of tourism is understood and communicated, and the degree to which stakeholders can access and apply new information for identifying the potential or need for change, assessing the viability of projects, and evaluating activities; • Social, political and cultural capital – the strength of the social, political and cultural environments, and the degree to which those environments can be effectively harnessed to support tourism innovation. The third part of the model uses ‘visioning’ techniques (drawing in part on experiences from Sustainable Tourism CRC projects on ‘Gold Coast Visioning’ led by Professor Bill Faulkner at Griffith University, and research by Walker, Lee, Goddard, Kelly & Pedersen, 2005) to engage stakeholders in developing strategies for identifying tourism value issues (based on the community awareness of the value of tourism, aspirations for enhancing value, and strategies for addressing deficiencies in innovation potential). A number of processes are available for applying visioning techniques. Our case studies typically involved community leaders accepting ownership of the results of the application of the first components of the model and, in a facilitated or nonfacilitated way, delivering these results broadly through the community. In some cases, strategies emerged entirely from within the region, while in others, the research team was further engaged to collate strategy suggestions and summarise the arguments attached to these suggestions. In most cases, the final case study write-up included reference to suggestions which appeared likely to be carried forward. The Prosper model was tested in thirteen case studies, not simply to establish whether the relationships hypothesized between innovation potential and harnessing the value of tourism could be observed, but also to establish to extent to which participating regions viewed the application of the model as important and worthwhile in their attempts to move forward. The case studies were a mix of five new studies conducted using the Prosper model in a direct way and meta-analysis of eight previous case studies. The short time frame for the research (2 and ½ years) and the relatively long term nature of change made it impossible to design the research to evaluate the success of the strategies developed or any specific innovations in new case studies, so the metaanalysis studies were significant in this respect. The case studies strongly supported the second part of the model in particular, and the research served as an influential tool for many of the case study communities who were able to implement programs of value monitoring (through quantitative or qualitative means), identify ways in which their systems of innovation could be strengthened, and develop context specific mechanisms for identifying and assessing the feasibility of tourism development proposals. The research has delivered a number of outputs which may be used in dissemination and commercialisation of the intellectual property. A stand-alone publication reviewing the applicability of various economic value assessment techniques to regional tourism has been produced. A quick guide to the Prosper model and assessing whether application of the model would assist a particular region has been drafted, and is slated for development in collaboration with Sustainable Tourism CRC. A detailed methodology specification has been prepared, and may be used as the basis of consulting services or the conduct of further case studies. The quantitative data sets (Census, Sensis, TTF employment analysis, labour force statistics etc.) may be made available through Decipher and included in a structured Decipher product which facilitates analysis and interpretation. A book containing research results of the thirteen case studies and an overview of the relationship between those case studies and the Prosper model has been edited by Dean Carson and Dr Jim Macbeth and has been submitted to the Sustainable Tourism CRC editorial team led by Professor Chris Cooper at the University of Queensland

Visitor perceptions of captive wildlife tourism in a Western Australian natural setting

Wildlife tourism involves a broad sweep of experiences that includes all of the aspects of the tourism genre with the distinguishing feature of animals as the primary attraction. The uniqueness of Australian wildlife in combination with factors such as remoteness and rarity appear to have provided the ideal context for successful wildlife tourism operations. Barna Mia, located in a large remnant woodland in the central southern wheatbelt of Western Australia, is approximately 165 km southeast of the state's capital, Perth. Dryandra Woodland, the location of Banra Mia consists of a closely grouped and connected cluster of native remnant vegetation blocks. The enclosure is surrounded by electrified, vermin proof fencing to keep feral predators out and the captive fauna in. The results of the visitor survey at Barna Mia suggested the experience provided a great sense of satisfaction amongst respondents. This was both in terms of the overall satisfaction as well as satisfaction with specific parts of the experience. The feeling of being 'in the wild' may have been enhanced by the lack of barriers between visitors and the animals and the absence of constraints on animal movement through the enclosure. Improving the operation of Barna Mia as an attraction in itself and as part of the Dryandra Woodland product may serve to improve its success as an attraction. However, an innately attractive tourism experience cannot work without appropriate integration within the specific wildlife tourism product of Dryandra Woodland, while coordination with tourism on a regional scale is also important

Propagation and attenuation of seismic Rayleigh waves along single paths in Scotland

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Managing supply chain collaborations in international joint ventures: case study in the Chinese automotive industry

The international joint venture (IJV) strategy brings the challenges of managing the interrelated horizontal and vertical supply chain collaboration (SCCs) in Chinese automotive industry. To explore the multi-level interrelated relationships including cross-cultural SCCs and IJVs, a multi-case study approach is employed in the paper. Best practices of SCC in IJVs are identified and investigated, where multicultural collaborations as well as monitoring and control of SCC tasks are discussed. The paper reveals the reconfiguration and development of SCCs in a multicultural-IJV context, addressing the question of how multi-level SCC is influenced by the cultural differences among the collaborators

The complexity of collaboration in supply chain networks: an exploratory study of the Chinese automotive sector

Purpose: To investigate the complexity of collaborations in supply chain networks, particularly, the influence of horizontal collaborations (e.g., international joint ventures) on vertical collaborations (e.g., supplier-manufacturer partnering relationships). Design/methodology/approach: A multiple case study including four horizontal collaborations and five vertical collaborations within a supply chain network is presented in the context of the Chinese automotive industry. Data interpretation from interviews is structured by key collaborative activities and collaborative behaviors. Findings: The analysis highlights a variety of collaborative behaviors under different types of collaboration and their interaction. The complexity of collaboration is revealed in a range of dimensions including culture diversity-, drivers/facilitators, competitive/collaborative advantages and the engagement of all. Collaboration evolves as the structure of the supply chain changes; the key is to appreciate the existence of cooperation, competition, and culture conflicts and to manage the trade-offs. Research limitations/implications: A window of opportunity is presented for future research to investigate the complexity of supply chain collaboration in a wider industrial or geographical context, including statistical validation and comparative analysis. Practical implications: A contingent view on supply chain collaboration is promoted to practitioners (e.g., international supply chain managers), where collaborative activities should be aligned with the motive and type of business relationships which may change as collaboration develops. Originality/value: A rare empirical study captures the complexity of supply chain collaboration including the interaction between different forms. A dynamic collaboration approach recognizes the changing process, varying cooperation behaviors as well as characteristics of partners which have not been sufficiently reflected in the literature

Adult participation in children’s word searches: on the use of prompting, hinting, and supplying a model

Although word searching in children is very common, very little is known about how adults support children in the turns following the child’s search behaviours, an important topic because of the social, educational and clinical implications. This study characterises, in detail, teachers’ use of prompting, hinting and supplying a model. From a classroom dataset of 53 instances, several distinctive patterns emerged. A prompted completion sequence is initiated by a ‘word retrieval elicitor’ (‘fishing’) and is interpreted as a request to complete the phrase. Non-verbal prompting is accomplished through a combination of gaze and gesture and, also, as a series of prompts. Hinting supplies a verbal clue, typically via a wh-question, or by specifying the nature of the repairable. In contrast, the strategies that supply a linguistic model include both embedded and exposed corrections and offers of candidates. A sequential relationship was found between prompting, hinting and supplying a model which has implications for how clinicians and teachers can foster self-repair

Case Study: Visitor Perceptions of Captive Wildlife Tourism in a Western Australian Natural Setting

Wildlife tourism involves a broad sweep of experiences that includes all of the aspects of the tourism genre with the distinguishing feature of animals as the primary attraction. The uniqueness of Australian wildlife in combination with factors such as remoteness and rarity appear to have provided the ideal context for successful wildlife tourism operations. Barna Mia, located in a large remnant woodland in the central southern wheatbelt of Western Australia, is approximately 165 km southeast of the state's capital, Perth. Dryandra Woodland, the location of Barna Mia, consists of a closely grouped and connected cluster of native remnant vegetation blocks. The enclosure is surrounded by electrified, vermin proof fencing to keep feral predators out and the captive fauna in. The results of the visitor survey at Barna Mia suggested the experience provided a great sense of satisfaction amongst respondents. This was both in terms of the overall satisfaction as well as satisfaction with specific parts of the experience. The feeling of being "in the wild" may have been enhanced by the lack of barriers between visitors and the animals and the absence of constraints on animal movement through the enclosure. Improving the operation of Barna Mia as an attraction in itself and as part of the Dryandra Woodland product may serve to improve its success as an attraction. However, an innately attractive tourism experience cannot work without appropriate integration within the specific wildlife tourism product of Dryandra Woodland, while coordination with tourism on a regional scale is also important

Social capital, tourism and regional development: SPCC as a basis for innovation and sustainability

Traditional views of regional development have focused on economic factors and potential innovation in technical and resource exploitation processes. Similarly, regional tourism development is usually couched in economic terms, such as number of jobs and increasing land values. This approach usually ignores the social and community aspects of tourism development, thus an alternative view argues that the community needs to be factored into our planning and development strategies to balance the traditional economic view. It is argued in this paper that fostering innovation in regional development is much more than a process of community consultation. Rather, what needs to be factored in is SPCC - social, political and cultural capital. This works in both directions; tourism development depends on a level of social, political and cultural capital in order to be a successful regional development tool (even in economic terms) while at the same time tourism development can be undertaken in a way that contributes to SPCC in the region. The paper outlines the key concepts of social capital, political capital and cultural capital. It does so within the context of regional tourism development and the concepts of systems of innovation and sustainable development