A conceptual model based on the antecedents and consequences of online consumer satisfaction has been proposed and empirically proved in this study. Data were collected during Smart Lockdown of COVID-19 from 800 respondents to observe the difference between perceived and actual, and direct and indirect e-stores. Confirmatory factor analysis was used to observe the validity of the data set. The structural equation modeling technique was used to test the hypotheses. The findings indicated that consumers feel more satisfied when they shop through direct e-store than indirect e-store, whereas their perception and actual experience are different. Implications have also been added to the study.

Influencer marketing acquires customers who follow their favorite celebrities, who have shared beliefs and opinions. This research explores the self-motives and influencer-related factors that lead to influencer congruence. Influenced customers subsequently recommend those influencers to others. No concrete scale of recommendation is available so far. This research also conceptualizes, develops, and validates a scale for recommendations. In this study, 451 respondents answered questions about the influencers they follow. Normality, reliability, and validity were used for hypothesis testing. Results show the positive and direct impacts of all proposed hypotheses. The findings contribute to the literature by presenting a balanced approach to studying two parallel yet integral aspects of influencer marketing: the influencer and the consumer.

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Authors' Contribution RAK designed the study. FB and AS prepared the copper nano particles embedded rice husk and conducted the experiments using that. Khalid carried out the characterization of the prepared Cu-NP. Rubina analyzed the effect of Cu-NP on the bacterial decontamination of water. .