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This research paper aims to establish a comprehensive framework for the barriers to CER in the construction industry, assesses the barriers' relative degrees of hindrance and causal mechanisms.

Firstly, 26 carbon emission reduction (CER) barriers in the construction industry were identified based on a systematic literature review (SLR) and categorized into five dimensions: policy, economy, society, technology and organization (PEST + O model). Secondly, the Best–Worst Method (BWM) was used to clarify the degrees of hindrance of the CER barriers. Then, the Grey-Decision-Making Trial and Evaluation Laboratory (Grey-DEMATEL) was used to visualize the directional cause–result relationship network among prominent barriers. Finally, the Boston matrix model was used to propose differentiated strategies to address CER barriers in the construction industry.

The calculated centrality and causality of the prominent barriers indicated that the lack of relevant legal policies and normative guidelines, the poor binding force and enforcement of existing relevant policies, the lack of effective economic subsidies and incentives and the difficulty in the operation, transformation and upgrading of existing construction CER are the key barriers that CER needs to address first in the construction industry. Considering the order of priority and the optimal path, differentiated countermeasures are proposed to address key, driving, independent and effect barriers.

This study develops a BWM–Grey-DEMATEL integrated multi-criteria decision-making model. An innovative C-shaped strategic map for addressing CER barriers in the construction industry is proposed by integrating the dual dimensions of time and space. This will guide practitioners, policymakers and decision-makers in developing CER strategies.

While performance demands in the natural world are varied, graded lattice structures reveal distinctive mechanical properties with tremendous engineering application potential. For biomechanical functions where mechanical qualities are required from supporting under external loading and permeability is crucial which affects bone tissue engineering, the geometric design in lattice structure for bone scaffolds in loading-bearing applications is necessary. However, when tweaking structural traits, these two factors frequently clash. For graded lattice structures, this study aims to develop a design-optimization strategy to attain improved attributes across different domains.

To handle diverse stress states, parametric modeling is used to produce strut-based lattice structures with spatially varied densities. The tailored initial gradients in lattice structure are subject to automatic property evaluation procedure that hinges on finite element method and computational fluid dynamics simulations. The geometric parameters of lattice structures with numerous objectives are then optimized using an iterative optimization process based on a non-dominated genetic algorithm.

The initial stress-based design of graded lattice structure with spatially variable densities is generated based on the stress conditions. The results from subsequent dual-objective optimization show a series of topologies with gradually improved trade-offs between mechanical properties and permeability.

In this study, a novel structural design-optimization methodology is proposed for mathematically optimizing strut-based graded lattice structures to achieve enhanced performance in multiple domains.

The earnings management (EM) research on the impact of firm’s multi-nationality and reputation on the earnings’ quality is limited, particularly in the context of emerging economies like India. In India, the corporate ownership model is “Promoter-dominated shareholder model” wherein companies have global operations. The purpose of this paper is to analyze the EM practices of corporate enterprises in India about multi-nationality, reputation and related determinants.

The present study employs DeAngelo model for calculating discretionary accruals for detecting EM. Multi-nationality, reputation and related determinants are measured as accounting indices. The statistical tools applied for testing the accuracy of results include correlation and regression analysis, t-test and descriptive statistics, like arithmetic mean, median and standard deviation.

The results show that multi-nationality is the driving force for EM and significantly affects the accounting choices of management in the sample units. The firm’s reputation and other related determinants, except size, vary with accruals. The earnings behavior of the corporate is influenced by other factors, like growth and leverage as well.

A total of 12 units out of top 25 units, taken for the study, met the sampling requirements. So, the present study is confined to 12 profit-making private listed companies in India. These companies constitute a significant size of BSE’s market capitalization for completeness of data; still the size and diversity of units can be extended for further study. The period in the study is of five years (2003–2004 to 2007–2008) to find the effects of global recession on EM practices in India. Researchers may like to select a different time-period based on their objective.

The study draws new dimensions about the quality of financial reporting in case of global firms and with high-perceived reputation. The findings are of significance to standard setters and regulators, particularly for emerging economies, like India where companies have international operations. They are equally important for other companies that are based in economies with relatively mature corporate governance mechanisms because of common regulatory focal points.

It brings out the importance of financial reporting process of global corporations for shareholders’ value creation. It is likely to enrich the knowledge and understanding of the EM phenomenon in developing economies like India.

It is an original paper, which highlights the EM motivation about multi-nationality, reputation and related variables in Indian corporate.