PurposeThis study identifies the facilitators and inhibitors for the adoption of e-learning for the undergraduate students of architecture. Nine constructs are identified as facilitators and five constructs are identified as inhibitors to the adoption of online learning systems in the context of the study. These constructs were used to propose a research model.Design/methodology/approach596 architecture undergraduates responded to a structured questionnaire. The questionnaire was finalized after a pilot study and included standard scale items drawn from previous studies. An exploratory factor analysis was followed by structural equation modeling (SEM) to test the proposed model.FindingsAll the identified facilitators emerged significant except social influence and price value. Furthermore, technology risk emerged insignificant while all other inhibitors had significant impact on Behavioral Intention to adopt e-learning.Research limitations/implicationsThe study has strong implications in academia as HEIs in developing countries need to make their students computer proficient, boost the implications of e-learning services by mitigating risks and motivating students to acquire knowledge through flexible e-learning modules.Originality/valueThe COVID-19 pandemic forced educational institutions to switch to online modes of learning. For students of architectural programs in a developing country like India, this has been unprecedented and has brought in a new set of challenges and opportunities. With the extension of the pandemic induced lockdown in educational institutions, students – and other stakeholders – have no choice but to adapt to this new normal of dependence on remote learning.
Purpose
The purpose of this study is to examine how the anticipated positive evaluation of a tourist’s social media posts by significant others, known as social return (SR), impacts the memorable tourism experience (MTE) and how this evaluation influences the revisit intention and recommend intention (operationalized dimensions of behavioral intention-BI).
Design/methodology/approach
The relationship among SR, MTE and BI was measured using established scales that were assessed for reliability and validity. Structural equation modeling was applied to the data collected from 316 respondents who had visited a heritage site.
Findings
The findings indicate that SR significantly impacts MTE and BI and MTE partially mediates the relationship between SR and BI. However, the impact of SR on revisit intention is weak despite being statistically significant.
Research limitations/implications
This paper seeks to extend the SR concept introduced in tourism and hospitality literature in 2018. This study validated the scale in a new context while retaining the inviolability of the scale by including a world heritage site. This study used an extended version of the MTE scale and an adapted version of the BI scale. The use of these three scales together is an attempt to examine the symbolic nature of social media posts that can generate perceptions regarding the memorability of the tourist’s visit.
Originality/value
SR is a relatively new construct and has been very sparsely studied with no known study linking SR, MTE and BI.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.