Tracking sustainable Industry 4.0 for listed companies - DataSet

The DataSet contains a set of data that informs the analyses conducted for the Tracking sustainable Industry 4.0 for listed companies study. This study aims to develop a replicable methodology for diagnosing sustainable Industry 4.0 status of publicly listed companies. Employing quantitative content analysis through MAXQDA software, the authors utilized a predefined keyword set and categories with lemmatization on both annual reports and Internet news. The analysis involved companies listed on the Warsaw Stock Exchange, representing about two-thirds of the total market capitalization across various sectors. Inconsistencies in communication and Internet news were observed, influenced by company characteristics. The methodology effectively addressed research questions on the incorporation of Industry 4.0 and sustainability in company reports and online communications. However, a limitation is the absence of a qualitative perspective to elucidate underlying phenomena for potential correlations. Despite this, the methodology provides valuable signals for policymakers, aiding in positioning economies globally on Industry 4.0 and sustainability. The research demonstrates high potential for replicability and traceability, applicable to other indices for sample selection, sector analyses, market exploration, and facilitating year-to-year comparisons.本数据集涵盖为开展《面向上市公司的可持续工业4.0追踪》研究所开展分析的全部相关数据。该研究旨在开发一套可复制的方法论，用以诊断公开上市公司的可持续工业4.0发展现状。研究团队借助MAXQDA软件开展定量内容分析（quantitative content analysis），采用预定义关键词集与分类体系，并对年度报告及互联网新闻实施词形还原（lemmatization）处理。分析对象为华沙证券交易所（Warsaw Stock Exchange）上市的企业，其总市值约占各行业总市值的三分之二。研究观察到企业沟通信息与互联网新闻间存在不一致性，且该现象受企业自身特征影响。该方法论有效回应了有关企业报告与线上传播中工业4.0与可持续性融合情况的研究问题。不过该研究存在局限性：未采用定性视角阐释潜在关联背后的核心现象。尽管存在上述局限，该方法论仍可为政策制定者提供有价值的参考依据，助力全球范围内各经济体在工业4.0与可持续发展领域的定位布局。本研究展现出极高的可复制性与可追溯性潜力，可应用于其他指数的样本选取、行业分析、市场探索，并支持年度间对比研究。