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The Future of Business Valuation : H...

Wolodko, Piotr,

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The Future of Business Valuation : How Technological Advancements Are Influencing the Valuations Industry = = O Futuro da Avaliacao de Negocios : Como os Avancos Tecnologicos Estao Influenciando a Industria de Avaliacoes /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Future of Business Valuation : How Technological Advancements Are Influencing the Valuations Industry =/ Piotr Wolodko.
其他題名:	O Futuro da Avaliacao de Negocios : Como os Avancos Tecnologicos Estao Influenciando a Industria de Avaliacoes /
作者:	Wolodko, Piotr,
面頁冊數:	1 electronic resource (101 pages)
附註:	Source: Masters Abstracts International, Volume: 86-07.
Contained By:	Masters Abstracts International86-07.
標題:	Large language models. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31812524
ISBN:	9798302391889

The Future of Business Valuation : How Technological Advancements Are Influencing the Valuations Industry = = O Futuro da Avaliacao de Negocios : Como os Avancos Tecnologicos Estao Influenciando a Industria de Avaliacoes /
Wolodko, Piotr,

The Future of Business Valuation : How Technological Advancements Are Influencing the Valuations Industry =O Futuro da Avaliacao de Negocios : Como os Avancos Tecnologicos Estao Influenciando a Industria de Avaliacoes /Piotr Wolodko. - 1 electronic resource (101 pages)

Source: Masters Abstracts International, Volume: 86-07.

This study explores the transformative impact of technological advancements, particularly Artificial Intelligence (AI) and automation, on business valuations. With a focus on evolving dynamics within the valuations industry, this research examines how AI technologies, such as Machine Learning (ML) and Natural Language Processing (NLP), are reshaping traditional valuation methodologies. It also considers stakeholders' concerns, including regulatory challenges and the integration of Environmental, Social, and Governance (ESG) factors. Through an abductive, deductive, and inductive research approach, this study incorporates qualitative primary data from expert interviews and supportive secondary data from industry reports and academic literature. The findings indicate that AI enhances the efficiency and accuracy of financial modelling, peer selection, and qualitative assessments. However, it also introduces complexities related to model transparency and bias, necessitating scrutiny by valuation professionals. The research highlights the critical role of continuous improvement and training in adapting to these technological shifts. Moreover, it underscores the importance of data disclosure and transparency in enhancing the reliability of valuations. Study concludes that the future of business valuations lies in a hybrid approach, where AI-driven tools augment, rather than replace, human expertise. This approach promises to enhance valuation practices by providing deeper insights and improving decision-making processes. By addressing the challenges and leveraging the opportunities presented by AI and automation, the valuations industry can achieve a greater performance and maintain credibility in a rapidly evolving market. This comprehensive analysis provides valuable insights for stakeholders aiming to navigate the future of business valuations amidst technological advancements and shifting industry standards.

English

ISBN: 9798302391889Subjects--Topical Terms:

3775019
Large language models.

The Future of Business Valuation : How Technological Advancements Are Influencing the Valuations Industry = = O Futuro da Avaliacao de Negocios : Como os Avancos Tecnologicos Estao Influenciando a Industria de Avaliacoes /
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520 $a This study explores the transformative impact of technological advancements, particularly Artificial Intelligence (AI) and automation, on business valuations. With a focus on evolving dynamics within the valuations industry, this research examines how AI technologies, such as Machine Learning (ML) and Natural Language Processing (NLP), are reshaping traditional valuation methodologies. It also considers stakeholders' concerns, including regulatory challenges and the integration of Environmental, Social, and Governance (ESG) factors. Through an abductive, deductive, and inductive research approach, this study incorporates qualitative primary data from expert interviews and supportive secondary data from industry reports and academic literature. The findings indicate that AI enhances the efficiency and accuracy of financial modelling, peer selection, and qualitative assessments. However, it also introduces complexities related to model transparency and bias, necessitating scrutiny by valuation professionals. The research highlights the critical role of continuous improvement and training in adapting to these technological shifts. Moreover, it underscores the importance of data disclosure and transparency in enhancing the reliability of valuations. Study concludes that the future of business valuations lies in a hybrid approach, where AI-driven tools augment, rather than replace, human expertise. This approach promises to enhance valuation practices by providing deeper insights and improving decision-making processes. By addressing the challenges and leveraging the opportunities presented by AI and automation, the valuations industry can achieve a greater performance and maintain credibility in a rapidly evolving market. This comprehensive analysis provides valuable insights for stakeholders aiming to navigate the future of business valuations amidst technological advancements and shifting industry standards.
520 $a Este estudo explora o impacto transformador dos avancos tecnologicos, particularmente da Inteligencia Artificial (IA) e automacao, nas avaliacoes de negocios. Focando na dinamica em evolucao da industria, examina como tecnologias de IA, como aprendizado de maquina (ML) e processamento de linguagem natural (NLP), estao remodelando metodologias tradicionais de avaliacao. Considera tambem preocupacoes dos stakeholders, desafios regulatorios e a integracao de fatores Ambientais, Sociais e de Governanca (ESG). Usando uma abordagem de pesquisa abdutiva, dedutiva e indutiva, incorpora dados primarios qualitativos de entrevistas com especialistas e dados secundarios quantitativos de relatorios da industria e literatura academica. As descobertas indicam que a IA melhora a eficiencia e precisao da modelagem financeira, selecao de pares e avaliacoes qualitativas. No entanto, introduz complexidades relacionadas a transparencia e vies dos modelos, exigindo escrutinio cuidadoso pelos profissionais. A pesquisa destaca a importancia da melhoria continua e do treinamento para adaptacao a essas mudancas tecnologicas, alem da divulgacao de dados e transparencia para aumentar a confiabilidade das avaliacoes. Conclui que o futuro das avaliacoes de negocios reside em uma abordagem hibrida, onde ferramentas de IA complementam, em vez de substituir, a expertise humana, aprimorando praticas de avaliacao e processos de tomada de decisao. Ao abordar desafios e aproveitar oportunidades da IA e automacao, a industria pode alcancar melhor desempenho e manter a credibilidade em um mercado em rapida evolucao. Esta analise oferece insights valiosos para stakeholders navegarem pelo futuro das avaliacoes de negocios em meio a avancos tecnologicos e padroes industriais em mudanca.
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