A strategy for achieving innovation through Sheep Cooperative Research Centre research and development

2010 ◽  
Vol 50 (12) ◽  
pp. 1145 ◽  
Author(s):  
Graham Truscott ◽  
Philip Thomas

The Sheep Cooperative Research Centre’s role to facilitate the transformation of the Australian sheep industry is complicated by the extensive nature of the industry across some 31 000 small to medium farming enterprises, linking to both sheep meat and wool supply chains. Close integration of the market with research and adoption through a product development focus is enabling a staged product development process while providing the management flexibility needed for development of each product type within target markets. This paper presents the basis of the New Product Development Framework and the adoption strategies used across the Sheep Cooperative Research Centre programs to accelerate utilisation of products developed out of research. These strategies include: communication; training coordination; network engagement and use of key influencers; supply chain engagement and the use of specific adoption research tools.


2020 ◽  
Vol 1 ◽  
pp. 1245-1254
Author(s):  
H. Forbes ◽  
J. Han ◽  
D. Schaefer

AbstractCrowdfunding is the process of taking a project in need of investment and asking a large group of people to supply the investment. It allows organisations to sell their product before production, reducing the risk of new product development. Organisations such as Tesla and General Electric have used crowdfunding successfully but crowdfunding is yet to be explored as part of a formalised product development framework. This paper includes the business case for commercialising new products with crowdfunding and presents crowdfunding as part of a product development and commercialisation framework.



Author(s):  
Swithin S. Razu ◽  
Shun Takai

Estimation of demand is one of the most important tasks in new product development. How customers come to appreciate and decide to purchase a new product impacts demand and hence profit of the product. Unfortunately, when designers select a new product concept early in the product development process, the future demand of the new product is not known. Conjoint analysis is a statistical method that has been used to estimate a demand of a new product concept from customer survey data. Although conjoint analysis has been increasingly incorporated in design engineering as a method to estimate a demand of a new product design, it has not been fully employed to model demand uncertainty. This paper demonstrates and compares two approaches that use conjoint analysis data to model demand uncertainty: bootstrap of respondent choice data and Monte Carlo simulation of utility estimation errors. Reliability of demand distribution and accuracy of demand estimation are compared for the two approaches in an illustrative example.





2010 ◽  
Vol 50 (12) ◽  
pp. 991 ◽  
Author(s):  
J. B. Rowe

Changes in the sheep industry over the last 20 years represent a trend that is unlikely to be reversed. The farm gate value of wool production has decreased from over $6 billion to ~$2.5 billion and the value of sheep meat has increased from $0.5 to $2.2 billion. Wool and meat are now on an equal footing in terms of the economic value of each sector of the industry. Future profitability of both wool and sheep meat production depends on achieving a high rate of productivity gain and improving quality attributes valued by consumers. Wool and sheep meat cannot compete on price or volume with synthetics and cotton in the textile market or with chicken and pork in the meat market. Differentiation based on quality and consistency needs to be measurable and clearly understood by consumers. The combination of genetic selection and good management can deliver improved productivity gain. Skills development and training will be essential for the industry to fully utilise available knowledge and new technologies.



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