[Paper Review] Modeling the Evolutionary Trends in Corporate ESG Reporting: A Study based on Knowledge Management Model

Ziyuan Xia, Anchen Sun+2 more|arXiv (Cornell University)|Sep 13, 2023

Environmental Sustainability in Business4 citations

TL;DR

This study proposes a dynamic knowledge management framework using TF-IDF and NLP to model evolving ESG reporting trends in technology firms. It identifies three strategic clusters—pioneers, niche players, and 'shadow' companies—revealing increasing homogenization in ESG reporting driven by legitimacy concerns, with empirical validation of legitimacy theory in ESG strategy.

ABSTRACT

Environmental, social, and governance (ESG) reports are globally recognized as a keystone in sustainable enterprise development. However, current literature has not concluded the development of topics and trends in ESG contexts in the twenty-first century. Therefore, We selected 1114 ESG reports from firms in the technology industry to analyze the evolutionary trends of ESG topics by text mining. We discovered the homogenization effect towards low environmental, medium governance, and high social features in the evolution. We also designed a strategic framework to look closer into the dynamic changes of firms' within-industry scores and across-domain importances. We found that companies are gradually converging towards the third quadrant, which indicates that firms contribute less to industrial outstanding and professional distinctiveness in ESG reporting. Firms choose to imitate ESG reports from each other to mitigate uncertainty and enhance behavioral legitimacy.

Motivation & Objective

• To develop a dynamic, knowledge management-based framework for analyzing the evolution of ESG topics in corporate reports.
• To map strategic differences in ESG reporting across technology firms using topic trend analysis and clustering.
• To investigate how legitimacy theory shapes ESG reporting behavior, particularly through conformity and homogenization.
• To validate the framework’s utility in identifying strategic reporting patterns and tracking ESG performance over time.
• To explore the implications of ESG reporting trends for corporate strategy, stakeholder perception, and sustainability performance.

Proposed method

• The framework employs term frequency-inverse document frequency (TF-IDF) to extract and weight key ESG-related keywords from 21st-century ESG reports of technology firms.
• Natural language processing (NLP) techniques are applied to analyze textual content and identify evolving ESG topics across time and corporate classes.
• A dynamic clustering model categorizes firms into strategic groups: pioneers (Zone I), niche players (Zone II), and conformist 'shadow' companies (Zone III).
• The model aligns ESG report content with a sustainability index to assess strategic alignment and performance trends.
• Topic evolution is visualized and analyzed through a multidimensional framework that tracks changes in ESG focus over time.
• The framework is validated using a dataset of technology company ESG reports, enabling longitudinal analysis of strategic reporting shifts.

Experimental results

Research questions

• RQ1 How do ESG reporting topics evolve over time in technology firms, and what patterns emerge in their strategic focus?
• RQ2 What are the distinct strategic clusters in ESG reporting behavior among technology companies, and how do they differ in their approach?
• RQ3 To what extent is ESG reporting driven by legitimacy concerns, as evidenced by homogenization trends in corporate disclosures?
• RQ4 How does the proposed framework enable the tracking and comparison of ESG performance across firms and over time?
• RQ5 What is the relationship between ESG reporting strategy and alignment with established sustainability indices?

Key findings

• A significant number of technology firms cluster in Zone III, indicating a growing trend of 'shadow' reporting characterized by conformity to established norms.
• The homogenization of ESG reports among shadow companies supports legitimacy theory, showing that firms prioritize reputational alignment over differentiation.
• Pioneering firms in Zone I consistently demonstrate robust, distinct ESG performance, serving as industry leaders in sustainability reporting.
• Niche companies in Zone II show targeted engagement with specialized ESG topics relevant to their service areas, indicating strategic differentiation.
• The framework successfully captures the concurrent evolution of ESG topics, revealing shifts in emphasis across environmental, social, and governance dimensions.
• Empirical results confirm that strategic reporting choices are influenced by external pressures, with many firms opting for conformity to maintain legitimacy and avoid reputational risk.