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The study aims to delve into the interactive relationships among brand authenticity, brand attachment, brand trust and brand loyalty using the ERC authenticity framework, exploring the potential mechanisms and different configurations affecting brand loyalty through brand authenticity.

About 446 valid samples were collected through an online survey of Chinese consumers of international sports brands. Structural equation modeling (SEM) and fuzzy set qualitative comparative analysis (fsQCA) were employed to test the research hypotheses.

SEM results indicate significant positive correlations among brand true-to-ideal authenticity, true-to-fact authenticity and true-to-self authenticity. All dimensions of brand authenticity exert notable positive impacts on brand attachment, brand trust and brand loyalty. Brand true-to-ideal authenticity, true-to-fact authenticity and true-to-self authenticity not only directly influence consumer brand loyalty but also indirectly affect it through brand attachment and brand trust; fsQCA results reveal five heterogeneous configurations to predict brand loyalty.

This study not only uses SEM to validate the structural relationships among the three dimensions of brand authenticity and their linear relationships with brand attachment, brand trust and brand loyalty but also uses fsQCA to identify nonlinear relationships between concepts. It extends complexity theory to the research field of brand authenticity–brand loyalty. Furthermore, based on the research results, this study provides management suggestions for brand managers and marketers.

Extant studies have discussed numerous carbon reduction drivers, but there is a dearth of holistic review and understanding of the dynamic interrelationships between the drivers from a system perspective. Thus, this study aims to bridge that gap.

The study conducted a review using Preferred Reporting Items for Systematic Reviews and Meta-Analyses and adopted interpretive structural modelling (ISM) to analyse and prioritise the drivers.

Eighteen drivers were identified and grouped into five, namely, policy instruments, bid-related, cost and risk, education and training, and reward and penalty drivers. The ISM revealed two hierarchical levels of the drivers with only higher cost of electricity/fuel on the higher level, making it the most important driver that could influence others.

The study presents an overview of decarbonisation drivers in the literature and would be of benefit to the government and stakeholders towards achieving net zero emissions in the construction industry.

The findings of the study present drivers of carbon reduction and prioritise and categorise them for tailored interventions within the construction sector. Also, it could serve as foundational knowledge for further study in the construction process decarbonisation research area.