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Multi-criteria decision-making leveraged by text analytics and interviews with strategists
Strategic decision-making in organisations is a complex process affected by preferences, experiences, perspectives, and knowledge, which, in most cases, are ambiguous, contradictory, and represented in unstructured data. This paper develops a methodological framework to address strategic decision-ma...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Palgrave Macmillan UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317142/ http://dx.doi.org/10.1057/s41270-021-00125-8 |
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author | Rave, Jorge Iván Pérez Álvarez, Gloria Patricia Jaramillo Morales, Juan Carlos Correa |
author_facet | Rave, Jorge Iván Pérez Álvarez, Gloria Patricia Jaramillo Morales, Juan Carlos Correa |
author_sort | Rave, Jorge Iván Pérez |
collection | PubMed |
description | Strategic decision-making in organisations is a complex process affected by preferences, experiences, perspectives, and knowledge, which, in most cases, are ambiguous, contradictory, and represented in unstructured data. This paper develops a methodological framework to address strategic decision-making processes from a multi-criteria perspective, assisted by text analytics and interviews. The framework comprises five stages and 12 steps, and is empirically tested in a decision scenario involving a strategic focus for future analytics initiatives in order to stimulate value generation from analytics. The proposed framework enables the discovery, validation, and prioritisation of strategic patterns from relevant interview data. Among six decision alternatives discovered in the validation scenario, customer analytics was the strategic focus most relevant to future analytics initiatives. This article contributes to understanding and addressing complex decision-making processes and mixed research in organisations, through a multi-criteria perspective leveraged by a text-driven computational approach. |
format | Online Article Text |
id | pubmed-8317142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Palgrave Macmillan UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83171422021-07-28 Multi-criteria decision-making leveraged by text analytics and interviews with strategists Rave, Jorge Iván Pérez Álvarez, Gloria Patricia Jaramillo Morales, Juan Carlos Correa J Market Anal Original Article Strategic decision-making in organisations is a complex process affected by preferences, experiences, perspectives, and knowledge, which, in most cases, are ambiguous, contradictory, and represented in unstructured data. This paper develops a methodological framework to address strategic decision-making processes from a multi-criteria perspective, assisted by text analytics and interviews. The framework comprises five stages and 12 steps, and is empirically tested in a decision scenario involving a strategic focus for future analytics initiatives in order to stimulate value generation from analytics. The proposed framework enables the discovery, validation, and prioritisation of strategic patterns from relevant interview data. Among six decision alternatives discovered in the validation scenario, customer analytics was the strategic focus most relevant to future analytics initiatives. This article contributes to understanding and addressing complex decision-making processes and mixed research in organisations, through a multi-criteria perspective leveraged by a text-driven computational approach. Palgrave Macmillan UK 2021-07-28 2022 /pmc/articles/PMC8317142/ http://dx.doi.org/10.1057/s41270-021-00125-8 Text en © The Author(s), under exclusive licence to Springer Nature Limited 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Rave, Jorge Iván Pérez Álvarez, Gloria Patricia Jaramillo Morales, Juan Carlos Correa Multi-criteria decision-making leveraged by text analytics and interviews with strategists |
title | Multi-criteria decision-making leveraged by text analytics and interviews with strategists |
title_full | Multi-criteria decision-making leveraged by text analytics and interviews with strategists |
title_fullStr | Multi-criteria decision-making leveraged by text analytics and interviews with strategists |
title_full_unstemmed | Multi-criteria decision-making leveraged by text analytics and interviews with strategists |
title_short | Multi-criteria decision-making leveraged by text analytics and interviews with strategists |
title_sort | multi-criteria decision-making leveraged by text analytics and interviews with strategists |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317142/ http://dx.doi.org/10.1057/s41270-021-00125-8 |
work_keys_str_mv | AT ravejorgeivanperez multicriteriadecisionmakingleveragedbytextanalyticsandinterviewswithstrategists AT alvarezgloriapatriciajaramillo multicriteriadecisionmakingleveragedbytextanalyticsandinterviewswithstrategists AT moralesjuancarloscorrea multicriteriadecisionmakingleveragedbytextanalyticsandinterviewswithstrategists |