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Cliques within the crowd: identifying medical conference attendee subgroups by their motivations for participation
Conferences enable rapid information sharing and networking that are vital to career development within academic communities. Addressing diverse attendee needs is challenging and getting it wrong wastes resources and dampens enthusiasm for the field. This study explores whether, and how, motivations...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148698/ https://www.ncbi.nlm.nih.gov/pubmed/37120683 http://dx.doi.org/10.1007/s10459-023-10220-3 |
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author | Ram, Sai Sreenidhi Stricker, Daniel Pannetier, Carine Tabin, Nathalie Costello, Richard W. Stolz, Daiana Eva, Kevin W. Huwendiek, Sören |
author_facet | Ram, Sai Sreenidhi Stricker, Daniel Pannetier, Carine Tabin, Nathalie Costello, Richard W. Stolz, Daiana Eva, Kevin W. Huwendiek, Sören |
author_sort | Ram, Sai Sreenidhi |
collection | PubMed |
description | Conferences enable rapid information sharing and networking that are vital to career development within academic communities. Addressing diverse attendee needs is challenging and getting it wrong wastes resources and dampens enthusiasm for the field. This study explores whether, and how, motivations for attendance can be grouped in relation to preferences to offer guidance to organizers and attendees. A pragmatic constructivist case study approach using mixed methods was adopted. Semi-structured interviews completed with key informants underwent thematic analysis. Survey results outlining attendees’ perspectives underwent cluster and factor analysis. Stakeholder interviews (n = 13) suggested attendees could be grouped by motivations predictable from level of specialisation in a field and past engagement with conferences. From n = 1229 returned questionnaires, motivations were clustered into three factors: learning, personal and social. Three groups of attendees were identified. Group 1 (n = 500; 40.7%) was motivated by all factors. Group 2 (n = 345; 28.1%) was mainly motivated by the learning factor. Group 3 (n = 188; 15.3%) scored the social factor highest for in-person conferences and the learning factor highest for virtual meetings. All three groups expressed a preference for hybrid conferences in the future. This study indicates that medical conference attendees can be clustered based on their learning, personal and social motivations for attendance. The taxonomy enables organizers to tailor conference formats with guidance on how to utilize hybrid conferences, thereby enabling better catering to attendees’ desires for knowledge gain relative to networking. |
format | Online Article Text |
id | pubmed-10148698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-101486982023-05-01 Cliques within the crowd: identifying medical conference attendee subgroups by their motivations for participation Ram, Sai Sreenidhi Stricker, Daniel Pannetier, Carine Tabin, Nathalie Costello, Richard W. Stolz, Daiana Eva, Kevin W. Huwendiek, Sören Adv Health Sci Educ Theory Pract Research Conferences enable rapid information sharing and networking that are vital to career development within academic communities. Addressing diverse attendee needs is challenging and getting it wrong wastes resources and dampens enthusiasm for the field. This study explores whether, and how, motivations for attendance can be grouped in relation to preferences to offer guidance to organizers and attendees. A pragmatic constructivist case study approach using mixed methods was adopted. Semi-structured interviews completed with key informants underwent thematic analysis. Survey results outlining attendees’ perspectives underwent cluster and factor analysis. Stakeholder interviews (n = 13) suggested attendees could be grouped by motivations predictable from level of specialisation in a field and past engagement with conferences. From n = 1229 returned questionnaires, motivations were clustered into three factors: learning, personal and social. Three groups of attendees were identified. Group 1 (n = 500; 40.7%) was motivated by all factors. Group 2 (n = 345; 28.1%) was mainly motivated by the learning factor. Group 3 (n = 188; 15.3%) scored the social factor highest for in-person conferences and the learning factor highest for virtual meetings. All three groups expressed a preference for hybrid conferences in the future. This study indicates that medical conference attendees can be clustered based on their learning, personal and social motivations for attendance. The taxonomy enables organizers to tailor conference formats with guidance on how to utilize hybrid conferences, thereby enabling better catering to attendees’ desires for knowledge gain relative to networking. Springer Netherlands 2023-04-29 /pmc/articles/PMC10148698/ /pubmed/37120683 http://dx.doi.org/10.1007/s10459-023-10220-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Ram, Sai Sreenidhi Stricker, Daniel Pannetier, Carine Tabin, Nathalie Costello, Richard W. Stolz, Daiana Eva, Kevin W. Huwendiek, Sören Cliques within the crowd: identifying medical conference attendee subgroups by their motivations for participation |
title | Cliques within the crowd: identifying medical conference attendee subgroups by their motivations for participation |
title_full | Cliques within the crowd: identifying medical conference attendee subgroups by their motivations for participation |
title_fullStr | Cliques within the crowd: identifying medical conference attendee subgroups by their motivations for participation |
title_full_unstemmed | Cliques within the crowd: identifying medical conference attendee subgroups by their motivations for participation |
title_short | Cliques within the crowd: identifying medical conference attendee subgroups by their motivations for participation |
title_sort | cliques within the crowd: identifying medical conference attendee subgroups by their motivations for participation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148698/ https://www.ncbi.nlm.nih.gov/pubmed/37120683 http://dx.doi.org/10.1007/s10459-023-10220-3 |
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