Relational spatiality and resort restructuring

This study examines the extent to which relational spatiality is captured within coastal resort restructuring visions drawing on a detailed examination of Newquay, UK. It outlines the relevance of relational spatiality for spatial planning generally and coastal resort restructuring specifically. Then, utilising Healey’s (2004) conceptualisations of space and place, and employing content analysis of selected tourism strategising documents, it explores the treatment of space and place in Newquay’s visions for restructuring. It reveals the co-existence of Essentialist and Relational approaches to spatial planning, with greater emphasis placed on the former, whilst the latter is used primarily as a tool through which to extend the resort’s reach. Some implications for coastal resort restructuring in Newquay and elsewhere are highlighted.     

International tourism demand and the business cycle

The focus of this study is on presenting causes and hypotheses for the existence of asymmetric income and price effects on tourism demand across business cycles. The theoretical assumptions were tested by analyzing tourism import demand in different source markets, drawing on econometric models that provide for the magnitudes of price and income effects either to vary depending on the phase of the business cycle or to remain stable across the business cycles. The major outcome of this study is that the general assumption in most of the tourism demand studies—i.e. that the income effects are symmetric—should not be expected to be automatically true for every source market.     

Effects of ownership change on organizational settings and strategies in a Taiwanese hotel chain

The purpose of this study was to explore the effects of ownership change on a local-chain hotel in Taiwan: how the new chief executive officer (CEO) planned a blue ocean strategy and how he led all employees to achieve pre-established goals. This study applied qualitative research methodology whereby the data were collected by participant observations in the study field and subsequent in-depth interviews with an application of the QSR NVivo software program. This study implies that, in the assimilation stage of the change, (1) the CEO should use democracy instead of dictatorship; (2) sub-cultures, factions and conflict could be prevented by organizational socialization and equal opportunity treatment; and (3) blue ocean strategies enable a shift of organizational image and identity. This qualitative study supplements the existing literature by showing that organizational politics might be affected by organizational change and how the concept of blue ocean strategy might be implemented in the course of organizational change.     

A preliminary study on customer expectations of hotel hospitality: Influences of personal and hotel factors

This study attempts to explain the influence of personal and hotel factors on the expectation level of hotel hospitality as well as to propose a scale to measure commercial hospitality for hotel services. A total of 101 local and international hotel guests were involved in the study. The results revealed that the expectations of hotel hospitality are influenced by personal factors such as gender, purpose of stay, nationality, and private domain of hospitality. The hotel's star rating is the only hotel factor that might have strong association with hotel hospitality.     

Loss given default models incorporating macroeconomic variables for credit cards

Based on UK data for major retail credit cards, we build several models of Loss Given Default based on account level data, including Tobit, a decision tree model, a Beta and fractional logit transformation. We find that Ordinary Least Squares models with macroeconomic variables perform best for forecasting Loss Given Default at the account and portfolio levels on independent hold-out data sets. The inclusion of macroeconomic conditions in the model is important, since it provides a means to model Loss Given Default in downturn conditions, as required by Basel II, and enables stress testing. We find that bank interest rates and the unemployment level significantly affect LGD.     

Comparing debt characteristics and LGD models for different collections policies

This paper discusses the similarities and differences in the collection process between in-house and 3rd party collection. The objective is to show that, although the same type of modelling approach to estimating the Loss Given Default (LGD) can be used in both cases, the details will be significantly different. In particular, the form of the LGD distribution suggests that one needs to split the distribution in different ways in the two cases, as well as using different variables. The comparisons are made using two data sets of the collection outcomes from two sets of unsecured consumer defaulters.     

The UK technology foresight programme: An assessment of expert estimates

Since the early 1990s, ‘Technology Foresight’ exercises with special emphasis on the use of Delphi surveys have played an important role in science and technology (S + T) policy across Europe in an effort to focus resource allocation. Yet, none of the estimates made in the European Delphi surveys have been formally assessed in retrospect, while this process has been incorporated into the Japanese surveys since 1996. Taking the UK Technology Foresight Programme, this research sets out to assess the estimates of three of the fifteen panel Delphi surveys. Whilst on average 2/3 of Delphi statements were predicted to be realised by 2004, it will be shown that only a fraction of these statements had been realised by 2006. Based on the evidence collected from the published panel reports, the ‘Hindsight on Foresight’ survey conducted by OST in 1995 and interviews with panel members, it will be argued that the overwhelming majority of estimates were overly optimistic. While optimism and strategic gaming of experts is the most convincing explanation for these results, process factors were also explored, including the quality of expert panels used, the Delphi statements and the respondents of the Delphi questionnaire. It is argued that at least the issue of short-range optimism and strategic gaming of experts should be addressed in future Delphi exercises, as decision makers relying on expert advice cannot deal with this issue alone.     

How does a cluster relocate across the border? The case of information technology cluster in the Taiwan-Suzhou region

Since the end of the Cold War, cross-border regions have proliferated at the borders of formal socialist countries, especially in China. Existing accounts of these emergences treat them either at the macro-level, focusing on political initiatives, or at the micro-level, with emphasis on social and economic relations. This paper uses the Taiwan-Suzhou cross-border region as a case study for suggesting a meso-level approach, arguing that as a result of continuous interactions between individual Taiwanese information technology firms and opportunity structures generated by the selective opening of the Chinese border, the formation of cross-border high-tech regions is shaped and determined at the level of the industrial system. The industrial system acts as a platform for coordination and cooperation between local elites and foreign investors and among individual firms within this system. The formation of the cross-border high-tech region thus involves the relocation and institutional re-embedding of industrial systems across the border, which has been accompanied by the systemic building of Taiwanese firms on the one hand, and the institutional innovation of Chinese local states on the other.     

Technology transfer in the IT industry: A Korean perspective

Recently Korean Government announced ambitious IT strategy to establish Korea as one of leaders in world IT market. To implement this strategy, technology transfer from research lab to market should be successfully performed. This study is to identify factors influencing technology transfer and to examine contribution of these factors on success of technology transfer in Korean IT industry. Survey results show that technology project leaders evaluated “Concreteness of Technology” as the most influential factor for technology transfer, followed by “Communication Channels,” “Collaboration among Participants,” “Management Support,” “Government Support,” and “Incentives for Transfer.” Out of 135 technology transfer projects, respondents rated 33 projects as sustaining (28.44%), 38 as promoting (28.15%), 26 as demonstrating (19.26%), 27 in incubating (20.00%), and the remaining 7 in imaging stage (8.15%). This statistics means that 28.15% of technology transfer projects did not reach production stage. Regression analysis identifies that “Communication Channels,” “Management Support,” “Concreteness of Technology” “Sense of Common Purpose,” and “Awareness of Technology Transfer” were statistically significant in explaining success of technology transfer.