Six Sigma, Big Data Analytics and performance: an empirical study of Brazilian manufacturing companies

IF 3.6 4区管理学 Q2 MANAGEMENT

Total Quality Management & Business Excellence Pub Date : 2024-01-16 DOI:10.1080/14783363.2024.2302588

Daniele dos Reis Pereira Maia, Fabiane Letícia Lizarelli, Lillian do Nascimento Gambi

引用次数: 0

Abstract

The introduction of several digital technologies in manufacturing organizations has generated Big Data sets that can be explored using Big Data Analytics (BDA) to bring competitive advantages to or...

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六西格玛、大数据分析与绩效：对巴西制造企业的实证研究

在制造企业中引入多种数字技术产生了大数据集，可利用大数据分析（BDA）对这些数据集进行探索，从而为企业带来竞争优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Total Quality Management & Business Excellence MANAGEMENT-

CiteScore

8.90

自引率

12.80%

发文量

期刊介绍： Total Quality Management & Business Excellence is an international journal which sets out to stimulate thought and research in all aspects of total quality management and to provide a natural forum for discussion and dissemination of research results. The journal is designed to encourage interest in all matters relating to total quality management and is intended to appeal to both the academic and professional community working in this area. Total Quality Management & Business Excellence is the culture of an organization committed to customer satisfaction through continuous improvement. This culture varies both from one country to another and between different industries, but has certain essential principles which can be implemented to secure greater market share, increased profits and reduced costs. The journal provides up-to-date research, consultancy work and case studies right across the whole field including quality culture, quality strategy, quality systems, tools and techniques of total quality management and the implementation in both the manufacturing and service sectors. No topics relating to total quality management are excluded from consideration in order to develop business excellence.