Dietary Diversity in School Going Children: Review

Child malnutrition is a public health problem in developing countries, and dietary diversity is one of the important determinants of undernutrition. Different nutrients are obtained from different food groups and to meet the requirement of recommended Dietary Allowances entitled as Dietary Diversity. The current review revealed that the nutrition status of children is directly related to the food groups consumed. Food diversity depends on many factors such as Socio-economic Status, education level, sex, and age of the subjects. The food group consumed and food items taken from each group were low in the low Socio-Economic Status (SES) subjects, rural areas, females, and less educated families, resulting in malnutrition among children of various countries. Low level of Dietary Diversity can be the reason for undernutrition in children worldwide, especially in developing countries. Many studies thus supported that Dietary Diversity and Food Variety can provide nutritional adequacy

Disruptive Technologies in Smart Farming: An Expanded View with Sentiment Analysis

Smart Farming (SF) is an emerging technology in the current agricultural landscape. The aim of Smart Farming is to provide tools for various agricultural and farming operations to improve yield by reducing cost, waste, and required manpower. SF is a data-driven approach that can mitigate losses that occur due to extreme weather conditions and calamities. The influx of data from various sensors, and the introduction of information communication technologies (ICTs) in the field of farming has accelerated the implementation of disruptive technologies (DTs) such as machine learning and big data. Application of these predictive and innovative tools in agriculture is crucial for handling unprecedented conditions such as climate change and the increasing global population. In this study, we review the recent advancements in the field of Smart Farming, which include novel use cases and projects around the globe. An overview of the challenges associated with the adoption of such technologies in their respective regions is also provided. A brief analysis of the general sentiment towards Smart Farming technologies is also performed by manually annotating YouTube comments and making use of the pattern library. Preliminary findings of our study indicate that, though there are several barriers to the implementation of SF tools, further research and innovation can alleviate such risks and ensure sustainability of the food supply. The exploratory sentiment analysis also suggests that most digital users are not well-informed about such technologies

Greening of supply chain to drive performance through logical integration of supply chain resources

Sustainability has always been a concern of humankind in one form or the other. Still, it has come into sharper focus after the promulgation of the sustainable development goals in 2015 and the disruptive forces unleashed by the COVID‐19 pandemic. Supply chain management is an aspect of business operations wherein the need for sustainability has been felt more keenly. The academic and business understanding of various nuances of incorporating sustainability, particularly environmental concerns in the supply chain, is still evolving. Our study seeks to enrich the growing literature in the area by proposing to uncover a novel, logical sequence of intangible supply chain resources that can amplify the impact of green supply chain management practices (GSCMPs) on business performance. We use the dual‐theoretical lens of a resource‐based view and stakeholder theories to conceptualize the sequential mediational role of supply chain visibility, resilience, and robustness between GSCMP and performance. Analyzing data collected from 318 individuals working in the manufacturing sector in the United Kingdom, we found a positive direct association of GSCMP with performance and the serial mediational role of visibility and robustness between the two. The findings of our study are pertinent for theorists as well as managers

The Application of Interpretive Structure Model in Evaluating Criteria for Online-Hotel Booking Website

With the development of Information Technologies (IT) and the penetration of the internet, new expectations arise from the travel industry. The ease of access, an abundance of information, and low transaction costs of the web have motivated the tourism industry to provide online travel services. In intensely competitive and dynamic tourism and travel market, it is mandatory for online hotel booking websites (OHBS) to adopt innovative forms of IT to survive and flourish. This study uses the multiple criteria decision-making (MCDM) method to examine user adoption of online hotel booking. The results show that the factors are associated with each other using ISM-digraph. It is expected that by focusing on these fundamental drivers, OHBS will be able to develop and facilitate their users effectively. The present study will also help practitioners while creating their main marketing strategies for increasing user base and retaining existing users