Abstract
The goal of this research is to develop a decision model that can be used to identify the technology transfer potential of a research proposal. An organization can use the model to select the proposals whose research outcomes are more likely to move into application. The model begins to close the chasm between research and application – otherwise known as the “valley of death.” A hierarchical decision model, along with desirability curves, was used to understand the complexities of the researcher and recipient relationship, specific to technology transfer. In this research, the evaluation criteria of several research organizations were assessed to understand the extent to which the success attributes that were identified in literature were considered when reviewing research proposals. The quantified model was validated using a case study involving demand response (DR) technology proposals in the Pacific Northwest.
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Appendix
Appendix
Success attributes for case studies
Attributes of research proposals | Organizational | Success attributes | Units of measurement | Proposal 1 | Proposal 2 | Proposal 3 | Proposal 4 |
Budget cost-share | % cost share required to fund research | 62% | 50% | 50% | 50% | ||
Geographic proximity | Proximity between research and recipient | 250–1500 mile separation | 250–1500 mile separation | 250–1500 mile separation | 1500–3000 mile separation | ||
Average time to contract | Average time to execute a contract | 4 months | 1.5 months | 1.5 months | 4 months | ||
Technical and stakeholder complexity | # of technical characteristics identified in proposal and # of impacted stakeholders | 2 technology characteristics and 3 stakeholders | 1 technology characteristic and 3 stakeholders | 2 technology characteristics and 7 stakeholders | 5 technology characteristics and 2 stakeholder | ||
Social | Diversity events | # of diversity events to create cultural awareness | 0 | 0 | Recommended | 0 | |
Personnel dedicated to support TT | # of people dedicated to support TT | 0.5 | 0.5 | 0 | 1 | ||
Project meetings | # of comms described in the comm project plan | Monthly meetings | Weekly and site visits | Weekly | Monthly meetings | ||
Personnel loaned to recipient | Time that researchers are loaned to help with TT | 0 | 0 | 1 year | 1 week | ||
Successful TT experiences | # of previous successful TT experiences | 0 | 0 | 0 | 4 | ||
Technology elements | Combined research experience | # years of combined research experience of principles | 47 years | 38 years | 46 years | 44 years | |
Technology publications | # publications about technology | 45 publications | 23 publications | 16 publications | 16 publications | ||
Personnel assigned to TTO | # of personnel assigned to TTO | 0 | 3 | 3 | 0 | ||
Technology benefits | # technology benefits identified in the research proposal | 10 | 7 | 4 | 7 | ||
Budget allocated to TT | % R&D budget dedicated to TTO activities | 0 | 5 | 0 | 0 | ||
Market | Comprehensiveness of use case | How well is the use case defined | None | None | None | None | |
Credibility of organizational champion | Credibility of the organizational champion | The champion has technical expertise and is recognized within the region as an expert | The champion has technical expertise and is recognized within the region as an expert | The champion has technical expertise and is recognized within the region as an expert | The champion has technical expertise and is recognized within the organization as an expert | ||
Level of top management interest | Level of organizational support for TT | There is some support by middle management but their engagement and support is not consistent | Executives are aware of the technology but their engagement is not consistent | Executives are aware of the technology but their engagement is not consistent | There is some support by middle management but their engagement and support is not consistent | ||
Government incentives | # and type of government incentives | No incentives for energy pods used at utility scale | No incentives exists to encourage technology transfer | No incentives exists to encourage technology transfer | Transient stability modeling important – 1 regulatory incentive | ||
Common technology standards | How are common standards supported | There are no common standards or codes for the technology | Communication standards (CEA 2045, WiFi, radio, etc.) – supported by a consortium | Communication standards (CEA 2045, WiFi, radio, etc.) – supported by a consortium | IEEE standards for PMU data used with modeling – supported by a consortium – more generalized support and awareness by a community but there is no formal requirement in place | ||
ROI | ROI | 0 | 0 | 0 | > 20% but less than 50% ROI |
Corresponding desirability curve values
Corresponding desirability curve values | Organizational | Success attributes | Proposal 1 | Proposal 2 | Proposal 3 | Proposal 4 |
Budget cost share | 40 | 60 | 60 | 60 | ||
Geographic proximity | 37 | 37 | 37 | 27 | ||
Average time to contract | 40 | 65 | 65 | 40 | ||
Stakeholder complexity | 53 | 53 | 3 | 87 | ||
Technical complexity | 83 | 100 | 83 | 17 | ||
Social | Diversity events | 0 | 0 | 22 | 0 | |
Personnel dedicated to support TT | 5 | 5 | 0 | 13 | ||
Project meetings | 90 | 100 | 90 | 90 | ||
Personnel loaned to recipient | 0 | 0 | 77 | 10 | ||
Successful TT experiences | 0 | 0 | 0 | 60 | ||
Technology elements | Combined research experience | 85 | 81 | 85 | 82 | |
Technology publications | 100 | 73 | 73 | 73 | ||
Personnel assigned to TTO | 0 | 100 | 100 | 0 | ||
Technology benefits | 100 | 100 | 87 | 100 | ||
Budget allocated to TT | 0 | 57 | 0 | 0 | ||
Market | Comprehensiveness of the use case | 0 | 0 | 0 | 0 | |
Credibility of organizational champion | 88 | 88 | 88 | 63 | ||
Level of top mgmt interest | 32 | 43 | 43 | 32 | ||
Government incentives | 0 | 0 | 0 | 50 | ||
Common technology standards | 0 | 40 | 40 | 40 | ||
ROI | 0 | 0 | 0 | 48 |
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Estep, J., Daim, T.U. (2018). Technology Assessment: Demand Response Technologies in the Pacific Northwest. In: Daim, T., Chan, L., Estep, J. (eds) Infrastructure and Technology Management. Innovation, Technology, and Knowledge Management. Springer, Cham. https://doi.org/10.1007/978-3-319-68987-6_5
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