Determinants of analytics-based managerial decisionmaking
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.12821/ijispm060102 |
Resumo: | This study investigates how managerial decision-making is influenced by Big Data analytics, analysts’ interaction skills and quantitative skills of senior and middle managers. The results of a cross-sectional survey of senior IT managers reveal that Big Data analytics (BDA) creates an incentive for managers to base more of their decisions on analytic insights. However, we also find that interaction skills of analysts and – even more so – managers’ quantitative skills are stronger drivers of analytics-based decision-making. Finally, our analysis reveals that, contrary to mainstream perceptions, managers in smaller organizations are more capable in terms of quantitative skills, and they are significantly more likely to base their decisions on analytics than managers in large organizations. Considering the important role of managers’ quantitative skills in leveraging analytic decision support, our findings suggest that smaller firms may owe some of their analytic advantages to the fact that they have managers who are closer to their analysts – and analytics more generally. |
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Determinants of analytics-based managerial decisionmakingBig Data analyticsdecision-makingquantitative skillsinteraction skillsfirm sizeThis study investigates how managerial decision-making is influenced by Big Data analytics, analysts’ interaction skills and quantitative skills of senior and middle managers. The results of a cross-sectional survey of senior IT managers reveal that Big Data analytics (BDA) creates an incentive for managers to base more of their decisions on analytic insights. However, we also find that interaction skills of analysts and – even more so – managers’ quantitative skills are stronger drivers of analytics-based decision-making. Finally, our analysis reveals that, contrary to mainstream perceptions, managers in smaller organizations are more capable in terms of quantitative skills, and they are significantly more likely to base their decisions on analytics than managers in large organizations. Considering the important role of managers’ quantitative skills in leveraging analytic decision support, our findings suggest that smaller firms may owe some of their analytic advantages to the fact that they have managers who are closer to their analysts – and analytics more generally.UMinho Editora2022-01-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.12821/ijispm060102https://doi.org/10.12821/ijispm060102International Journal of Information Systems and Project Management; Vol. 6 N.º 1 (2018); 27-40International Journal of Information Systems and Project Management; Vol. 6 No. 1 (2018); 27-402182-7788reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://revistas.uminho.pt/index.php/ijispm/article/view/3832https://revistas.uminho.pt/index.php/ijispm/article/view/3832/3886Thirathon, UsaratWieder, BernhardOssimitz, Maria-Luiseinfo:eu-repo/semantics/openAccess2023-03-23T11:57:49Zoai:journals.uminho.pt:article/3832Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:45:17.163009Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Determinants of analytics-based managerial decisionmaking |
title |
Determinants of analytics-based managerial decisionmaking |
spellingShingle |
Determinants of analytics-based managerial decisionmaking Thirathon, Usarat Big Data analytics decision-making quantitative skills interaction skills firm size |
title_short |
Determinants of analytics-based managerial decisionmaking |
title_full |
Determinants of analytics-based managerial decisionmaking |
title_fullStr |
Determinants of analytics-based managerial decisionmaking |
title_full_unstemmed |
Determinants of analytics-based managerial decisionmaking |
title_sort |
Determinants of analytics-based managerial decisionmaking |
author |
Thirathon, Usarat |
author_facet |
Thirathon, Usarat Wieder, Bernhard Ossimitz, Maria-Luise |
author_role |
author |
author2 |
Wieder, Bernhard Ossimitz, Maria-Luise |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Thirathon, Usarat Wieder, Bernhard Ossimitz, Maria-Luise |
dc.subject.por.fl_str_mv |
Big Data analytics decision-making quantitative skills interaction skills firm size |
topic |
Big Data analytics decision-making quantitative skills interaction skills firm size |
description |
This study investigates how managerial decision-making is influenced by Big Data analytics, analysts’ interaction skills and quantitative skills of senior and middle managers. The results of a cross-sectional survey of senior IT managers reveal that Big Data analytics (BDA) creates an incentive for managers to base more of their decisions on analytic insights. However, we also find that interaction skills of analysts and – even more so – managers’ quantitative skills are stronger drivers of analytics-based decision-making. Finally, our analysis reveals that, contrary to mainstream perceptions, managers in smaller organizations are more capable in terms of quantitative skills, and they are significantly more likely to base their decisions on analytics than managers in large organizations. Considering the important role of managers’ quantitative skills in leveraging analytic decision support, our findings suggest that smaller firms may owe some of their analytic advantages to the fact that they have managers who are closer to their analysts – and analytics more generally. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-31 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.12821/ijispm060102 https://doi.org/10.12821/ijispm060102 |
url |
https://doi.org/10.12821/ijispm060102 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.uminho.pt/index.php/ijispm/article/view/3832 https://revistas.uminho.pt/index.php/ijispm/article/view/3832/3886 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UMinho Editora |
publisher.none.fl_str_mv |
UMinho Editora |
dc.source.none.fl_str_mv |
International Journal of Information Systems and Project Management; Vol. 6 N.º 1 (2018); 27-40 International Journal of Information Systems and Project Management; Vol. 6 No. 1 (2018); 27-40 2182-7788 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131537616142336 |