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Showing papers by "John S. Edwards published in 2013"


Book
01 Jun 2013
TL;DR: In this paper, the authors examined the results of a pilot study, which used a method of evaluation called randomised control trials (RCTs) to see if a popular business support scheme called Creative Credits worked effectively and found that the firms who were awarded Creative Credits enjoyed a short-term boost in their innovation and sales growth in the six months following completion of their creative projects.
Abstract: This report examines the results of a pilot study, which used a method of evaluation called randomised control trials (RCTs) to see if a popular business support scheme called Creative Credits worked effectively. The pilot study, which began in Manchester in 2009, was structured so that vouchers, or 'Creative Credits', would be randomly allocated to small and medium-sized businesses applying to invest in creative projects such as developing websites, video production and creative marketing campaigns, to see if they had a real effect on innovation. The research found that the firms who were awarded Creative Credits enjoyed a short-term boost in their innovation and sales growth in the six months following completion of their creative projects. However, the positive effects were not sustained, and after 12 months there was no longer a statistically significant difference between the groups that received the credits and those that didn’t. The report argues that these results would have remained hidden using the normal evaluation methods used by government, and calls for RCTs to be used more widely when evaluating policies to support business growth.

15 citations


Journal ArticleDOI
TL;DR: In this paper, the authors discuss the importance of collaboration with suppliers and partners during research and development (R&D) technology projects, and how this can be accomplished using the collaborative enterprise governance (CEG) concept to manage a technology project.
Abstract: This article discusses the importance of collaboration with suppliers and partners during research and development (R&D) technology projects. It details how this can be accomplished using the collaborative enterprise governance (CEG) concept to manage a technology project. CEG is based on the premise that parts of companies work with parts of other companies, which are reconfigured on dynamic bases according to a variety of different internal and external factors. This article presents an overview of the founding literature, the CEG and its methodology, and examples based at Jaguar Land Rover in the UK. CEG has been used here to explain why some technology projects have succeeded while others have done less well. This article concludes by offering new propositions, inducted through grounded theory, relating to the successful management of R&D projects, which should be picked up by future research studies in the area.

14 citations


Book Chapter
01 Jun 2013
TL;DR: This paper presents a model for measuring personal knowledge development in online learning environments based on Nonaka’s SECI model of organisational knowledge creation, which measures the magnitude of online learners’ Externalisation and combination activities as well as their level of internalisation, which is the outcome of their personal knowledgeDevelopment in onlinelearning.
Abstract: This paper presents a model for measuring personal knowledge development in online learning environments. It is based on Nonaka‘s SECI model of organisational knowledge creation. It is argued that Socialisation is not a relevant mode in the context of online learning and was therefore not covered in the measurement instrument. Therefore, the remaining three of SECI‘s knowledge conversion modes, namely Externalisation, Combination, and Internalisation were used and a measurement instrument was created which also examines the interrelationships between the three modes. Data was collected using an online survey, in which online learners report on their experiences of personal knowledge development in online learning environments. In other words, the instrument measures the magnitude of online learners‘ Externalisation and combination activities as well as their level of internalisation, which is the outcome of their personal knowledge development in online learning.

3 citations