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The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis / Kelvin Donne, Laurie Hughes, Mike Williams, Gareth Davies

IEEE Transactions on Engineering Management, Pages: 1 - 16

Swansea University Authors: Kelvin Donne, Laurie Hughes, Mike Williams, Gareth Davies

Abstract

Business accelerators play a key role in the initial critical stages of assessment of commercial viability, offering mentorship provision of funding and protection of intellectual property for product development and refinement. However, little is known about the decision making criteria and detaile...

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Published in: IEEE Transactions on Engineering Management
ISSN: 0018-9391 1558-0040
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa55800
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spelling 2021-07-20T16:51:44.7039047 v2 55800 2020-12-01 The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis 71e501ce5ab995ee49935beda8f7b8c4 Kelvin Donne Kelvin Donne true false 7abaa0ecff88cdfd7a208d27a8b62173 0000-0002-0956-0608 Laurie Hughes Laurie Hughes true false 1f7ef84712ed671b054f2b00e27cd7cf Mike Williams Mike Williams true false ab7964da48dd7d1b74a81f2935dc564b Gareth Davies Gareth Davies true false 2020-12-01 BBU Business accelerators play a key role in the initial critical stages of assessment of commercial viability, offering mentorship provision of funding and protection of intellectual property for product development and refinement. However, little is known about the decision making criteria and detailed analysis of the underlying criteria and interdependencies between the key factors used by accelerator organisations to fund start-ups. This study focusses on the decision making criteria utilised by a leading £21M accelerator programme, largely funded by the European Regional Development Fund for initial stage funding and intellectual property protection for product and innovation commercialisation. We incorporate a multi-methodological interpretive based approach based on Day’s ‘Real-Win-Worth’ framework to develop the interrelationships and ranking between the factors. The results highlight the significance and weighting attached to the factors associated with the technical competency of the proposer and evidence of demand existing for the product. We propose a new framework that models the key factor interrelationships offering additional insight to accelerator based decision making. Journal Article IEEE Transactions on Engineering Management 0 1 16 Institute of Electrical and Electronics Engineers (IEEE) 0018-9391 1558-0040 13 1 2021 2021-01-13 10.1109/tem.2020.3041558 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2021-07-20T16:51:44.7039047 2020-12-01T15:34:53.2793684 School of Management Business Kelvin Donne 1 Laurie Hughes 0000-0002-0956-0608 2 Mike Williams 3 Gareth Davies 4 55800__18792__bce77c8215f74286a9918a946fab8162.pdf AAM.pdf 2020-12-02T15:59:18.9057963 Output 689774 application/pdf Accepted Manuscript true true eng 57 Laurie Hughes 0000-0002-0956-0608 d.l.hughes@Swansea.ac.uk true true
title The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis
spellingShingle The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis
Kelvin, Donne
Laurie, Hughes
Mike, Williams
Gareth, Davies
title_short The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis
title_full The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis
title_fullStr The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis
title_full_unstemmed The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis
title_sort The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis
author_id_str_mv 71e501ce5ab995ee49935beda8f7b8c4
7abaa0ecff88cdfd7a208d27a8b62173
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ab7964da48dd7d1b74a81f2935dc564b
author_id_fullname_str_mv 71e501ce5ab995ee49935beda8f7b8c4_***_Kelvin, Donne
7abaa0ecff88cdfd7a208d27a8b62173_***_Laurie, Hughes
1f7ef84712ed671b054f2b00e27cd7cf_***_Mike, Williams
ab7964da48dd7d1b74a81f2935dc564b_***_Gareth, Davies
author Kelvin, Donne
Laurie, Hughes
Mike, Williams
Gareth, Davies
author2 Kelvin Donne
Laurie Hughes
Mike Williams
Gareth Davies
format Journal article
container_title IEEE Transactions on Engineering Management
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publishDate 2021
institution Swansea University
issn 0018-9391
1558-0040
doi_str_mv 10.1109/tem.2020.3041558
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str School of Management
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hierarchy_top_title School of Management
hierarchy_parent_id schoolofmanagement
hierarchy_parent_title School of Management
department_str Business{{{_:::_}}}School of Management{{{_:::_}}}Business
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description Business accelerators play a key role in the initial critical stages of assessment of commercial viability, offering mentorship provision of funding and protection of intellectual property for product development and refinement. However, little is known about the decision making criteria and detailed analysis of the underlying criteria and interdependencies between the key factors used by accelerator organisations to fund start-ups. This study focusses on the decision making criteria utilised by a leading £21M accelerator programme, largely funded by the European Regional Development Fund for initial stage funding and intellectual property protection for product and innovation commercialisation. We incorporate a multi-methodological interpretive based approach based on Day’s ‘Real-Win-Worth’ framework to develop the interrelationships and ranking between the factors. The results highlight the significance and weighting attached to the factors associated with the technical competency of the proposer and evidence of demand existing for the product. We propose a new framework that models the key factor interrelationships offering additional insight to accelerator based decision making.
published_date 2021-01-13T04:17:53Z
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