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Quantifying Corporate Culture Using ...

Beecken, Tom Robert,

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Quantifying Corporate Culture Using Machine Learning and 10-K Filings = = Quantificacao da Cultura Empresarial Utilizando a Aprendizagem Automatica e os Relatorios 10-K /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantifying Corporate Culture Using Machine Learning and 10-K Filings =/ Tom Robert Beecken.
其他題名:	Quantificacao da Cultura Empresarial Utilizando a Aprendizagem Automatica e os Relatorios 10-K /
作者:	Beecken, Tom Robert,
面頁冊數:	1 electronic resource (48 pages)
附註:	Source: Masters Abstracts International, Volume: 86-05.
Contained By:	Masters Abstracts International86-05.
標題:	Failure. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31701857
ISBN:	9798346591757

Quantifying Corporate Culture Using Machine Learning and 10-K Filings = = Quantificacao da Cultura Empresarial Utilizando a Aprendizagem Automatica e os Relatorios 10-K /
Beecken, Tom Robert,

Quantifying Corporate Culture Using Machine Learning and 10-K Filings =Quantificacao da Cultura Empresarial Utilizando a Aprendizagem Automatica e os Relatorios 10-K /Tom Robert Beecken. - 1 electronic resource (48 pages)

Source: Masters Abstracts International, Volume: 86-05.

Corporate culture plays a critical role in the success and integration of organizations, particularly during mergers and acquisitions (M&A). This dissertation aims to extract and quantify elements of corporate culture from 10-K textual data and subsequently apply these quantifications to real-world scenarios. To explore this question, a comprehensive dataset consisting of 68,855 Management Discussion and Analysis sections from 10-K Filings stemming from 12,553 companies was utilized. The study employs advanced NLP techniques, including word embedding and sentiment scoring using Term Frequency-Inverse Document Frequency (TF-IDF), to generate a culture dictionary and identify as well as quantify linguistic patterns indicative of corporate culture. The findings demonstrate that NLP-driven quantification of corporate culture can provide valuable insights for addressing cultural integration in M&A scenarios. By scoring the core cultural values innovation, integrity, quality, respect, and teamwork, stakeholders can make more informed decisions, potentially improving the success rates of M&A activities.

English

ISBN: 9798346591757Subjects--Topical Terms:

3561225
Failure.

Quantifying Corporate Culture Using Machine Learning and 10-K Filings = = Quantificacao da Cultura Empresarial Utilizando a Aprendizagem Automatica e os Relatorios 10-K /
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520 $a Corporate culture plays a critical role in the success and integration of organizations, particularly during mergers and acquisitions (M&A). This dissertation aims to extract and quantify elements of corporate culture from 10-K textual data and subsequently apply these quantifications to real-world scenarios. To explore this question, a comprehensive dataset consisting of 68,855 Management Discussion and Analysis sections from 10-K Filings stemming from 12,553 companies was utilized. The study employs advanced NLP techniques, including word embedding and sentiment scoring using Term Frequency-Inverse Document Frequency (TF-IDF), to generate a culture dictionary and identify as well as quantify linguistic patterns indicative of corporate culture. The findings demonstrate that NLP-driven quantification of corporate culture can provide valuable insights for addressing cultural integration in M&A scenarios. By scoring the core cultural values innovation, integrity, quality, respect, and teamwork, stakeholders can make more informed decisions, potentially improving the success rates of M&A activities.
520 $a A cultura corporativa desempenha um papel fundamental no sucesso e na integracao das organizacoes, particularmente durante as fusoes e aquisicoes (M&A). Esta dissertacao tem como objetivo extrair e quantificar elementos da cultura empresarial a partir de dados textuais do 10-K e, subsequentemente, aplicar essas quantificacoes a cenarios do mundo real. Para explorar esta questao, foi utilizado um conjunto de dados abrangente que consiste em 68 855 seccoes de Analise e Discussao da Gestao de Registos 10-K provenientes de 12 553 empresas. O estudo emprega tecnicas avancadas de PNL, incluindo a incorporacao de palavras e a pontuacao de sentimentos utilizando a Frequencia de Termo - Frequencia Inversa de Documento (TF-IDF), para gerar um dicionario de cultura e identificar, bem como quantificar, padroes linguisticos indicativos da cultura empresarial. Os resultados demonstram que a quantificacao da cultura empresarial baseada na PNL pode fornecer informacoes valiosas para abordar a integracao cultural em cenarios de M&A. Ao pontuar os valores culturais fundamentais inovacao, integridade, qualidade, respeito e trabalho em equipa, as partes interessadas podem tomar decisoes mais informadas, melhorando potencialmente as taxas de sucesso das actividades de M&A.
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