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This study aims to examine whether the adoption of the International Integrated Reporting Council’s Integrated Reporting Framework (IIRC Framework) influences the extent of forward-looking disclosures provided by reporters.

This study captures forward-looking disclosures of Australian and New Zealand-based reporters by analysing integrated and annual reports over a period of 10 years from 2010 to 2019 using a machine learning algorithm. This study uses signalling theory to frame the analysis.

This study finds that the adoption of the IIRC Framework has a significant positive impact on the extent of forward-looking disclosures provided by reporting entities. The primary evidence suggests that while listing status alone negatively influences the extent of forward-looking disclosures, the additional analysis reveals that the acceptance of the IIRC Framework by listed entities is positively associated with an increase in forward-looking information. These results remain valid when subjected to a variety of robustness (alternative variables and country fixed effect) and endogeneity (system generalised method of moments and entropy balancing estimations) tests.

The findings have practical implications as regulatory agencies (including stock exchanges and standard setters), seeking to promote greater forward-looking disclosures, may want to encourage the adoption of the IIRC Framework.

The IIRC’s Framework promotes greater forward-looking disclosures benefiting stakeholders who gain a better understanding of the reporters’ future risks and opportunities (including social, economic and environmental risks) and how these are being managed/addressed.

This study provides novel evidence by highlighting the role played by the IIRC Framework in promoting forward-looking disclosures.

This research was initiated by motivation from a real business problem that delves into lean management practices in dairy farm operations. It investigates how lean management practices can be applied as an improvement strategy in the dairy business to evaluate its impact on performance, where profitability is a decisive factor.

Based on the qualitative design, a 5-phase action research methodology was used in this study, where multiple data collection sources were used, including focus group discussions, on-site observation or Gemba walks and process mapping. The impact is evaluated by comparing the key performance measures with the same period before and after research.

The research revealed that lean management practices can significantly improve dairy business performance. It explained vital aspects of lean management practices and their sequence with examples of first-hand applications. It explained, how lean management practices were applied in dairy farm operations. Furthermore, the research resulted in significant benefits, in terms of quality, cost and profitability.

This research was conducted in a real business setting in the field environment, to improve dairy business performance. It was a distinctive application of lean management practices to solve a national problem. This could be used as a road map to bring continuous improvement at the national level to improve the performance of food value chains.

This research is unique because it addresses the methodological, population and empirical gaps in dairy farm operations. It adds value to the existing knowledge base by sharing best practices, developed and implemented for the first time to the best of our knowledge, like high-level process mapping and performance measures at different levels. Furthermore, the solutions can be simulated in related farm operations to bring breakthrough improvements in dairy business performance.