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This paper aims to explore the influence of e-reputation, destination image and social media marketing efforts (SMME) on the intention to visit among tourists. The relationships are examined through the lens of the stimuli-organism-response (S-O-R) theory.

The responses were recorded from 209 domestic and international tourists who stayed in five-star hotels at Khajuraho, a UNESCO world heritage site in India. PLS-SEM was used to test the proposed hypotheses.

The findings revealed a significant positive relationship between SMME, e-reputation and destination image. The results also indicated that destination image fully mediated the relationship between e-reputation, destination image, SMME and visit intention.

The research would enables tourism organizations to develop strategies and reap benefit from the information posted and shared by tourists on various social media platforms and gain a competitive edge over competitors.

Testing the relationship between e-reputation and destination image as a mediator between SMME and intention to visit is a relatively novel idea. Previously, no attempt had been made to measure the influence of e-reputation related to destination image and intention to visit as supported by the S-O-R theory. This study provides empirical information on destination image and e-reputation building and the role of social media. It helps tourism managers create social media marketing strategies.

Amidst the COVID-19 pandemic, education has shifted to online teaching and learning. Interactivity is a crucial tool used to make online education effective. This study empirically examines the role of interactivity in higher education and its influence on students' behavioral outcomes, specifically focusing on soft skills and personality upgradation.

A quasi-experimental research design was carried out for post-graduate students undergoing a business communication course from four major institutions. For analysis, t-test, confirmatory factor analysis (CFA) and partial least squares structural equation modeling (PLS-SEM) have been employed. Experimental research has established the causal relationship between interactivity, personality and soft skill upgradation (SSU).

It was found that the theoretical structural model has a rational model-fit validity. Resultantly, practitioners may use prior knowledge of virtual community (VC) members to enhance web interactivity, thereby increasing social identity and social bonds in a group for more meaningful and effective delivery of online courses.

The major limitations lie in its context-dependent nature, predominantly influenced by the pandemic-induced mandatory online learning. The study's cross-sectional design also inhibits its ability to assess goal-directed behaviors over time, necessitating further longitudinal research.

The study is one of the pioneering pieces of research that examines the role of pre-defined grouping and enhanced web interactivity in VCs in the context of online learning, especially during the COVID-19 pandemic. Integrating theories of web interactivity, social bond theory (SBT) and social identity theory (SIT) provides a novel understanding of cognitive and social influences that drive meaningful online discussions and their impacts on knowledge enhancement and personality development. Its findings have implications for the design of effective online learning environments and e-learning pedagogy, contributing to the growing domain of information and communication technology (ICT)-enabled education.

The intervention of information communication technology and technological advancements are rapidly growing and providing means of improvisations to every industry. The technological advancements have offered multifold opportunities to the businesses and other stakeholders for developing it multidimensionality. This chapter has explored the aspects of the possible economic developments because of technological developments of the industry. Overall, 167 papers have been found and analysed. Probably, this is the first paper of its type, which has investigated the relationship between technology, tourism, and economic development using the bibliometric analysis. This chapter also identifies the five important clusters of keywords for future researchers on this theme of research.