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Entrepreneurial Orientation (EO) has received substantial conceptual and empirical attention, representing one of the few areas in entrepreneurship research in which a cumulative body of knowledge is developing. Nonetheless, an important message from past research is that simply examining the direct effect of EO on firm performance provides an incomplete picture, especially in the case of new ventures. This study examined the influence of Dominant Logic (DL) on the relationship between EO and firm performance. Results based on a sample of 149 new manufacturing ventures indicated that DL mediates the EO-performance relationship, and risk taking, aggressiveness and innovativeness had the highest correlations with the internal and external conceptualization of DL. The empirical evidence suggests that new ventures must foster DL implementing appropriate strategic processes in order to maximize the effect of EO on performance.

The tourism industry has become a major part of economic development for many countries. These countries have greatly invested in tourism to attract more tourist arrivals. Hence, the need for more accurate forecasts of tourism demand is important. Various approaches have been applied to forecast tourism demand of different countries. However, tourism demands tend to be imprecise and their trends nonlinear. In addition, there may be drastic changes in the tourism demand time series. To properly handle these problems, this study proposes an innovative forecasting model to detect the regime switching properly and to apply fuzzy timeseries model to forecast. The monthly tourist arrivals to Taiwan will be used as forecasting target. The analysis by the proposed model will be validated by the major events as well as previous studies.

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