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The purpose of this study is to examine the impact of sustainable supply chain management (SSCM) practices on both competitive advantage (CA) and organizational performance (OP) in the manufacturing sector in Ethiopia.

Data for the study were collected from a sample of 221 manufacturing companies operating in the four manufacturing groups/sectors in Ethiopia. In addition, data analysis was performed using the partial least squares method, which is a variance-based Structural Equation Modeling approach in the Smart-PLS software version (SmartPLS 4.0).

Based on the statistical analysis of the collected data, it demonstrates that SSCM has a significant and positive impact on both competitive advantage and organizational performance. Furthermore, statistical findings offer proof of the clear connection between competitive advantage and organizational performance. Moreover, competitive advantage indirectly mediates the relationship between SSCM and OP.

The primary limitation of this research is its reliance on a cross-sectional design. The generalizability of the findings obtained from the present study may be hindered. The variable under investigation in this research assessed organizational performance, a concept that is widely acknowledged to be extremely dynamic.

The study provides managers and researchers with valuable information on Sustainable Supply Chain Management strategies and how they influence competitive advantage and organizational performance in commercial and industrial environments.

This paper adds to the body of knowledge by providing new data and empirical insights into the relationship between SSCM practices and the performance of manufacturing companies in Ethiopia.

The present study aims to investigate factors influencing Gen-Z consumers' “green food purchase intention” and “healthy lifestyle”. Guided by the attribution theory, “perceived usefulness of green food”, “food safety concerns” (internal attributes), “perceived threat of environmental problems” and “green peer influence” (external attributes) are considered the predictors of “attitude towards green food”, which eventually lead to a healthy lifestyle and green food purchase intention. Besides, “fear of pandemic recurrence” and “greenwash” are tested as moderators.

The Structural Equation Modelling-Partial Least Squares (PLS-SEM) technique was employed for the model testing. An online questionnaire survey was conducted among Gen-Z Chinese adults, which yielded 556 complete, valid responses.

The findings indicate that “consumers' attitudes towards green food” are positively influenced by “perceived threat of environmental problems”, “perceived usefulness of green food”, “concerns about food safety”, and the influence of “green peers”. In addition, results revealed that “attitude toward green food” exerts a positive effect on “healthy lifestyle” and “green food purchase intention”. The study supports the moderating role of “perceived greenwash” in the relationship between “attitude” and “intention to purchase green food”. However, there was no evidence to support the moderating effect of “fear of pandemic recurrence” in relation to a “healthy lifestyle”.

This study is a pioneer in utilizing the attribution theory to predict the drivers of a “healthy lifestyle” and the “intention to purchase green foods”. Furthermore, this study predicted the moderating influence of “fear of pandemic recurrence” on the relationship between attitude and “healthy lifestyle”, a link that has not been tested in previous research. Furthermore, it introduces a novel examination of the moderating effect of “perceived greenwash” on the relationship between “attitudes” and “purchase intentions”.

We examine the changes in a firm’s cost of debt after it is included in or removed from the S&P 500. The extant literature on index composition focuses on the cost of equity and lacks an understanding of the impacts on a firm’s cost of debt capital upon inclusion in or removal from a major stock market index. Therefore, we address the following question: Does a firm’s cost of debt change around its inclusion in or removal from the S&P 500?

We develop two hypotheses based on the research question and use univariate and multivariate fixed-effects analyses to test them. Furthermore, to ensure robustness and address endogeneity concerns, we employ a matched control sample difference-in-difference statistical framework.

Inclusion in the S&P 500 lowers a firm’s cost of debt by 0.145% and 0.200%, on average, in the six- and three-month periods after inclusion. Furthermore, after a firm is removed from the index, a firm’s cost of debt increases on average 0.380% and 0.260% in the six- and three-month periods in the post-inclusion period when compared to the pre-inclusion period.

This study contributes novel insights into the cost of debt and index composition literature. It provides insights for academics, investors, creditors, corporate managers and index selection committees.