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The emergence of advanced technologies has brought new challenges and opportunities for all kinds of business organizations. In a technologically advanced era, innovation plays a dominant role for the successful operation of the commercial landscape. Therefore, the current study was conducted to investigate the impact of network capabilities (NC) and frugal innovation (FI) on innovation performance (IP). Furthermore, the mediating role of FI and moderating role of innovation strategies has also been tested on the link between NC and IP. Small and medium enterprises (SMEs) registered with small and medium enterprises development authorities (SMEDA) were approached for the completion of the current study. Only 509 owner/managers agreed to participate. A quantitative research design was employed for the current study. During the two–three months process of data collection only 387 complete responses were received from the SMEs working in Pakistan’s big cities. Correlation, regression and bootstrap methods were applied to test the study hypotheses. The findings revealed that NC positively affect FI and IP. Furthermore, the findings also confirmed the mediating effect of FI between NC and IP link. The performance of SMEs working in emerging economies is largely based on their innovative activities. In this dynamic scenario SMEs’ survival is attached to continuous IP in their products and services.

In light of increasing concerns about climate change and energy security, renewable energy has been seen as the most promising solution to fulfil future energy needs. This study examines the drivers of renewable energy consumption (REC) and the nexus between GDP growth, technological innovation, gross fixed capital formation, CO2 emissions, income inequality, and renewable energy consumption (REC) using annual data from BRICS countries. To this end, the study uses the augmented mean group (AMG) estimator, a second-generation estimator that takes slope homogeneity and cross-sectional dependence into consideration. For robustness, the pooled mean group (PMG) estimator has also been utilized. The findings of both estimators indicate that carbon emissions, technological innovation, and gross fixed capital formation exert adverse and significant impacts on REC. The findings also show that the use of renewable energy will rise as income inequality declines. We also employ the Dumitrescu and Hurlin (DH) granger causality test. The results of the analysis demonstrate a one-way causal association between income inequality and REC. This finding confirms that a reduction in income inequality will have a major impact on the adoption of renewable energy sources.