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Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis

Malcolm Beynon, David Pickernell Orcid Logo, Paul Jones Orcid Logo

Technological Forecasting and Social Change, Volume: 210, Start page: 123914

Swansea University Authors: David Pickernell Orcid Logo, Paul Jones Orcid Logo

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DOI (Published version): 10.1016/j.techfore.2024.123914

Abstract

This study offers a novel country-level longitudinal investigation of conditions, including, income, urbanity, education, R&D, and entrepreneurial activity, driving international trade, for imports and exports. The configurational (clustering) approach places emphasis on country and year groupin...

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Published in: Technological Forecasting and Social Change
ISSN: 0040-1625
Published: Elsevier BV 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa68387
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last_indexed 2024-11-29T13:46:46Z
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spelling 2024-11-29T11:30:30.4410369 v2 68387 2024-11-29 Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis 913bd73da00d7df4f5038f6f144b235e 0000-0003-0912-095X David Pickernell David Pickernell true false 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false 2024-11-29 CBAE This study offers a novel country-level longitudinal investigation of conditions, including, income, urbanity, education, R&D, and entrepreneurial activity, driving international trade, for imports and exports. The configurational (clustering) approach places emphasis on country and year groupings, offering ‘targeted’ understanding on country level variations of international trade in cultural goods. The study explores context sensitive conditions affecting international trade in cultural goods, including environment for entrepreneurship, and entrepreneurial processes. Emphasis is given to configurational considerations of clusters of country-year observations based on conditions. Inferences inferred will be country groups-based perspectives. Using UIS and GEM datasets, fuzzy c-means clustering is employed for economic development-related conditions measuring, income, urbanity, education, R&D, and entrepreneurial activity, to establish clusters of country-year observations, based on differences in the condition values describing them. These clusters are defined to give qualitative understanding of their individuality. Validation of clusters is undertaken with consideration of differences on levels of international trade of cultural goods, in terms of forms of imports and exports. To complement the validation, cluster profiling is undertaken, with consideration of population age and poverty levels. The study contributes increased understanding concerning drivers (conditions) of trade in cultural goods, and impact of entrepreneurship in both imports and exports. Journal Article Technological Forecasting and Social Change 210 123914 Elsevier BV 0040-1625 Cultural goods; Export; Import; Fuzzy c-means; Country level; Clustering; Trade 1 1 2025 2025-01-01 10.1016/j.techfore.2024.123914 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2024-11-29T11:30:30.4410369 2024-11-29T11:21:14.6101341 Faculty of Humanities and Social Sciences School of Management - Business Management Malcolm Beynon 1 David Pickernell 0000-0003-0912-095X 2 Paul Jones 0000-0003-0417-9143 3
title Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis
spellingShingle Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis
David Pickernell
Paul Jones
title_short Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis
title_full Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis
title_fullStr Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis
title_full_unstemmed Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis
title_sort Entrepreneurial activity in the international trade in cultural goods: A fuzzy clustering analysis
author_id_str_mv 913bd73da00d7df4f5038f6f144b235e
21e2660aaa102fe36fc981880dd9e082
author_id_fullname_str_mv 913bd73da00d7df4f5038f6f144b235e_***_David Pickernell
21e2660aaa102fe36fc981880dd9e082_***_Paul Jones
author David Pickernell
Paul Jones
author2 Malcolm Beynon
David Pickernell
Paul Jones
format Journal article
container_title Technological Forecasting and Social Change
container_volume 210
container_start_page 123914
publishDate 2025
institution Swansea University
issn 0040-1625
doi_str_mv 10.1016/j.techfore.2024.123914
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 0
active_str 0
description This study offers a novel country-level longitudinal investigation of conditions, including, income, urbanity, education, R&D, and entrepreneurial activity, driving international trade, for imports and exports. The configurational (clustering) approach places emphasis on country and year groupings, offering ‘targeted’ understanding on country level variations of international trade in cultural goods. The study explores context sensitive conditions affecting international trade in cultural goods, including environment for entrepreneurship, and entrepreneurial processes. Emphasis is given to configurational considerations of clusters of country-year observations based on conditions. Inferences inferred will be country groups-based perspectives. Using UIS and GEM datasets, fuzzy c-means clustering is employed for economic development-related conditions measuring, income, urbanity, education, R&D, and entrepreneurial activity, to establish clusters of country-year observations, based on differences in the condition values describing them. These clusters are defined to give qualitative understanding of their individuality. Validation of clusters is undertaken with consideration of differences on levels of international trade of cultural goods, in terms of forms of imports and exports. To complement the validation, cluster profiling is undertaken, with consideration of population age and poverty levels. The study contributes increased understanding concerning drivers (conditions) of trade in cultural goods, and impact of entrepreneurship in both imports and exports.
published_date 2025-01-01T08:36:44Z
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score 11.047848

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