Assessing the Best Supplier Selection Criteria in Supply Chain Management During the COVID-19 Pandemic.

In the last 10 years, organizations and researchers have recognized the importance of sustainable supply chain management (SSCM) because of the consumers, -profit and non-profit organizations, laws and regulations, and consumer social and corporate responsibilities. Supplier selection, environmental effects such as social cooperation, and other SSCM programmes, can all help to achieve the "triple bottom line (TBL)" of economic, environmental, and social advantages. Sustainable supplier selection (SSS) and firm performance are important factors in supply chain management (SCM).

Striving towards environmental sustainability: how natural resources, human capital, financial development, and economic growth interact with ecological footprint in China.

On the economic side, China has attained rapid development; yet, the ecological aspects pose threats to its sustainable development. The nexus between economic growth, natural resources, human capital, and financial development has an important inference for the environment, and therefore, this endeavor examines the influence of said variables on the ecological footprint in China via adopting the novel dynamic simulated ARDL approach by utilizing the data from 1985 to 2018. The outcomes of the analysis confirm that natural resources and financial development have a considerable positive short- and long-run relation with the ecological footprint.

Nexus between corporate social responsibility and financial and non-financial sectors' performance: a non-linear and disaggregated approach.

The objective of this study is to examine the relationship between corporate social performance (CSP) as proxy of corporate social responsibility (CSR) and corporate firm's performance (CFP) in the context of Pakistani financial and non-financial firms sectors. This study comprises two main firm's performance indicators such as market base (excess stock returns) and accounting base (returns on assets and returns on capital). The data set starts from 2011 to 2017 and consists of three hundred and fifty (350) firms on equal numbers of financial and non-financial firms.