Managing Relations Between R&D and Marketing in New Product Development Projects

This article examines the R&D/marketing interface conditions found within an extensive data base of new product development innovation projects. The incidence of different types of problems between these two important functions are analyzed and the effects of these observations on project outcomes are discussed. The article contains a number of recommendations for increasing the success rates of innovation projects by using a model that improves conditions at the R&D/marketing interface.     

Examining the efficacy of self-classification approach in segmenting special-interest tourists: food tourism case

Self-classification is used as an a priori approach to tourist typology and market segmentation. However, skepticism still surrounds its ability to incorporate the multidimensionality of tourist behavior. This study seeks to empirically verify the efficacy of a single-item self-classification approach. The robustness of this self-classification measure is examined by comparing it to a data-driven multidimensional psychographic approach in terms of its ability to predict the behaviors of tourists toward food-related destination consumption. Results suggest that the single-item self-classification approach performs equally well as the psychographic approach in segmenting food-related consumption behaviors. The implications and limitations of this study are also discussed.     

A Segmentation of Volunteers at the 2013 Austin City Limits Music Festival: Insights and Future Directions

Volunteers at music festivals play a critical role in festival operation and success. As the music festival industry continues to grow, the ability for these large productions to effectively execute a large volunteer program is augmented. Volunteers from the 2013 Austin City Limits Music Festival were surveyed in regards to their self-image congruency, motivation, satisfaction, and intent to return as a volunteer at the festival. Analysis resulted in three distinct segments which has significant practical implications for festival management. Academic implications exist with the addition of self-image congruency and further discovery of volunteers in the festival and event industry.     

ESTIMATING SOURCES OF FLUCTUATIONS IN THE AUSTRALIAN WOOL MARKET: AN APPLICATION OF VAR METHODS

Vector autoregression (VAR) methods are used to analyse the contribution of supply, demand and policy shocks to unpredictable fluctuations in the market for Australian wool. VAR procedures are compared with conventional structural econometric models as methods for decomposing sources of instability. While each has advantages and disadvantages, VAR procedures might be viewed as preferable when the underlying market structure is complex and uncertain, as it is in the case of wool. Based on the results obtained, demand shocks are the dominant source of uncertainty in the wool market in the absence of Australian Wool Corporation intervention, but intervention has blunted their effects, reducing market uncertainty and increasing the average level of prices and revenues.     

Regional Economic Impacts of Fusarium Head Blight in Wheat and Barley

Fusarium Head Blight is a fungus affecting wheat and barley in the upper Midwest region of the United States. The purpose of this study is to estimate the direct and secondary regional economic impacts of Fusarium Head Blight infestations from 1998 to 2000. Cumulative direct production and price impacts from Fusarium Head Blight in hard red spring, soft red winter, durum wheat, and barley are estimated at $871 million over the period, with secondary economic losses of $1.8 billion. The total impacts of $2.7 billion were concentrated in North Dakota and Minnesota, which accounted for 55% of total losses over the period.