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Textile and contemporary apparel manufacturers are adopting and integrating cutting-edge technologies to reduce their impact on the environment and gain an advantage in the marketplace. Most previous studies have ignored business intelligence systems (BIS), notably in the textile and apparel industry (T&A), in favor of looking at the larger picture of how big data would affect retail and distribution in a company. This is especially true for the T&As.

The authors report that they conducted 14 semi-structured interviews with 12 international luxury tourism service providers. In this case, researchers use snowball features and systematic techniques to select participants. A qualitative content analysis strategy is used to capture the focus of the interviews.

Problems with T&A company sustainability, opportunities to increase value creation via use of industry-leading business intelligence (BI) solutions and perceived roadblocks to BIS adoption were all found by the poll. Garment retail and distribution sector has benefited greatly from the increased use of Industry 4.0 technologies, especially those that provide better BI solutions. Determine the extent to which industry participation slows down or speeds up the process. The Company Information System (BIS) will help convince non-tech-savvy business owners of the financial, economic and environmental benefits of adopting certain technologies developed as part of the industry 4.0 movement.

The authors of this research claim theirs is one of the first to investigate what variables affect the uptake of BIS, ultimately hoping to find out how BIS may be used by T&A businesses to tackle environmental issues through the use of Industry 4.0 technologies. The purpose of this study was to see whether BIS might aid T&A firms with their sustainability issues.

In the last several years, there has been a meteoric rise in interest in big data and business analytics among firms and educational institutions alike. This paper tries to introduce readers to the concept of business analytics in a way that is both academic and accessible, considering both the present and future of the field. This paper begins with a quick introduction, followed by a summary of the three distinct forms of predictive modeling discussed.

In an effort to help aspiring analytics professionals, they have identified, categorized and evaluated the nine distinct players that are now active in the analytics market. Following this, they will provide a high-level summary of the many different research projects currently being worked on by their group.

Although domestic research on Chinese management is emerging, a suitable domestic theory is still needed to support and explain Chinese management practice. Given that, this paper aims to extract ideas of cultivation from Confucianism and propose a theoretical framework of self-cultivation with a purpose to provide new explanations for domestic (nondomestic as well) management practice.

Drawing from pre-Qin cultivation discourse and management practice, this paper develops a theoretical framework of self-cultivation and discusses its implications.

This paper argues that self-cultivation emphasizes self-consciousness, initiative and selflessness. It also includes self-reflection, self-discipline, self-study and self-improvement, as well as self-dedication, all of which reflect the ideal realm of “self-cultivation.” This “realm” refers to the process of pursuing an ideal personality and high moral standards.

This paper contributes to the literature by identifying various potential applications of self-cultivation theory to domestic research on organizational behavior in China.