Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach.

Recent years have witnessed an increased demand for mobile health (mHealth) platforms owing to the COVID-19 pandemic and preference for doorstep delivery. However, factors impacting user experiences and satisfaction levels across these platforms, using customer reviews, are still largely unexplored in academic research. The empirical framework we proposed in this paper addressed this research gap by analysing unmonitored user comments for some popular mHealth platforms.

A retrospective analysis of the evolution of ergonomics for environmental sustainability (2011-2021).

has been rapidly gaining attention in the scientific community. So far, a large part of the literature has focussed on specific dimensions of , such as green designs, green buildings, environmental education, and sustainability frameworks. However, there is a necessity for an integrated study that presents the summary of published literature supported by detailed bibliometric characteristics.

Decision-making framework for identifying regions vulnerable to transmission of COVID-19 pandemic.

At the beginning of 2020, the World Health Organization (WHO) identified an unusual coronavirus and declared the associated COVID-19 disease as a global pandemic. We proposed a novel hybrid fuzzy decision-making framework to identify and analyze these transmission factors and conduct proactive decision-making in this context. We identified thirty factors from the extant literature and classified them into six major clusters (, , , , , and with the help of domain experts.

Your reviews or mine? Exploring the determinants of "perceived helpfulness" of online reviews: a cross-cultural study.

Unlabelled: E-commerce platforms allow customers to post online reviews about their products, but many of these reviews remain non-voted by existing customers. Current literature on the of online reviews has overlooked the effect of these non-voted reviews. Additionally, current studies lack the cross-cultural perspective to help analyze the influence of cultural factors during an analysis of online reviews in an e-commerce platform.