Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

中文翻译：

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工业 4.0 的商业智能：零售和分销的预测模型

目的

纺织品和当代服装制造商正在采用和整合尖端技术，以减少对环境的影响并在市场上获得优势。之前的大多数研究都忽略了商业智能系统 (BIS)，尤其是在纺织和服装行业 (T&A)，而是着眼于大数据如何影响公司零售和分销的大局。对于 T&A 尤其如此。

设计/方法/途径

作者报告说，他们对 12 家国际豪华旅游服务提供商进行了 14 次半结构化访谈。在这种情况下，研究人员使用滚雪球特征和系统技术来选择参与者。定性内容分析策略用于捕捉访谈的重点。

发现

调查发现，T&A 公司的可持续性问题、通过使用行业领先的商业智能 (BI) 解决方案增加价值创造的机会以及采用 BIS 的障碍。服装零售和分销行业从工业 4.0 技术的使用增加中受益匪浅，尤其是那些提供更好的 BI 解决方案的技术。确定行业参与减慢或加快流程的程度。公司信息系统 (BIS) 将帮助说服不懂技术的企业主相信采用作为工业 4.0 运动的一部分而开发的某些技术会带来财务、经济和环境效益。

研究局限性/影响

这项研究的作者声称他们是最早调查哪些变量影响 BIS 的采用的人之一，最终希望找出 T&A 企业如何使用 BIS 通过使用工业 4.0 技术来解决环境问题。本研究的目的是了解 BIS 是否可以帮助 T&A 公司解决其可持续性问题。

实际影响

在过去几年中，公司和教育机构等对大数据和业务分析的兴趣急剧上升。考虑到该领域的现在和未来，本文试图以一种既学术又易于理解的方式向读者介绍业务分析的概念。本文首先简要介绍，然后总结所讨论的三种不同形式的预测建模。

原创性/价值

为了帮助有抱负的分析专业人士，他们已经确定、分类和评估了现在活跃在分析市场上的九个不同的参与者。在此之后，他们将提供他们小组目前正在进行的许多不同研究项目的高级摘要。