Purpose The purpose of this paper is to identify and predict the key factors that influenced the usage intention of over the top (OTT) services by consumers. This was done by applying the modified unified theory of acceptance and use of technology 2 (UTAUT2) model. Design/methodology/approach An online survey questionnaire assessed the proposed motivational factors for the adoption of OTT services. Confirmatory factor analysis and structural equation modelling were conducted on collected data (n = 598) to demonstrate the reliability and validity of the measurement and structural model. Findings The model consisted of nine factors, namely, value expectancy (VE), ease of effort (EE), social influence (SI), favourable infrastructure conditions (FIC), hedonistic motivation for usage (HMU), favourable economic position (FEP), content quality (CQ), habitual behaviour (HB) and security conditions (SC). SC, VE, SI, HB and EE were the antecedent variables. FEP, CQ and FIC were the mediating variables and HMU was the dependant variable. SI and CQ of OTT services were positively associated with HMU of OTT services, FEP had no significant effects on HMU. The results also supported the explanatory strength and predictability of UTAUT2 as a model. It further extended UTAUT2 boundaries and paved the way for an extended UTAUT2 model to be developed. Originality/value The promising role of OTT services in the entertainment and media industry had gained consumer attention, however, limited empirical investigations had been conducted on explicating how user attitude and usage intention were shaped regarding the use of OTT services in the Indian context. This study served as one of the first attempts to empirically examine the adoption process, with implications for the HMU regarding OTT services. This was one of the first studies to extend the UTAUT2 theoretical model.

The purpose of the research was to study how the onset of COVID-19 pandemic fuelled shift towards digitalization in the education ecosystem. The study consisted of responses from 316 engineering students collected during the COVID-19 pandemic physical lockdown in India from March to May 2020. The collected data was analysed using structural equation modelling to develop a model for online education in the study context based upon the push-pull-mooring framework. Hayes' model was used to analyze the effect of the multiple mediators to understand the relationship between the antecedents (Platform knowledge scope, alternative media attractiveness and normative environmental pressure) and switching behaviour for performance. This research contributed to the push-pull-mooring framework theory in the context of a crisis event.