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The e-health services came up as an effective tool to mitigate effects of COVID-19 and following social distance norms. This study highlighted an issue of contentious usage intentions of e-health services among Thai older citizens. This study aims to examine the relationship of social influence (SI), information quality (IQ) and the digital literacy (DL) to contentious usage intentions.

This study follows quantitative techniques, and the sample size is 140 to analyze, that is collected from the older Thai citizens. The convenient sampling technique was used to collect the data and the items were measured by using a five-point Likert scale.

The findings of this study are having mixed results. The effect of DL and satisfaction (SAT) on continuous usage intention (CUI) is significant. The effect of IQ and SI on CUI is non-significant. The effect of IQ and SI on SAT is significant. Further, the mediating effect of SAT between IQ and CUI is non-significant. However, the mediating effect of SAT between SI and CUI is significant.

This study contributes to knowledge by empirical testing of DL and usage of the medicine. Furthermore, to the best of the authors’ knowledge, this study is one of the rare studies that incorporate technological intervention for drug usage intentions.

With the current wave of modernization in the dairy industry, the global dairy market has seen significant shifts. Making the most of inventory planning, machine learning (ML) maximizes the movement of commodities from one site to another. By facilitating waste reduction and quality improvement across numerous components, it reduces operational expenses. The focus of this study was to analyze existing dairy supply chain (DSC) optimization strategies and to look for ways in which DSC could be further improved. This study tends to enhance the operational excellence and continuous improvements of optimization strategies for DSC management

Preferred reporting items for systematic reviews and meta-analyses (PRISMA) standards for systematic reviews are served as inspiration for the study's methodology. The accepted protocol for reporting evidence in systematic reviews and meta-analyses is PRISMA. Health sciences associations and publications support the standards. For this study, the authors relied on descriptive statistics.

As a result of this modernization initiative, dairy sector has been able to boost operational efficiency by using cutting-edge optimization strategies. Historically, DSC researchers have relied on mathematical modeling tools, but recently authors have started using artificial intelligence (AI) and ML-based approaches. While mathematical modeling-based methods are still most often used, AI/ML-based methods are quickly becoming the preferred method. During the transit phase, cloud computing, shared databases and software actually transmit data to distributors, logistics companies and retailers. The company has developed comprehensive deployment, distribution and storage space selection methods as well as a supply chain road map.

Many sorts of environmental degradation, including large emissions of greenhouse gases that fuel climate change, are caused by the dairy industry. The industry not only harms the environment, but it also causes a great deal of animal suffering. Smaller farms struggle to make milk at the low prices that large farms, which are frequently supported by subsidies and other financial incentives, set.

This paper addresses a need in the dairy business by giving a primer on optimization methods and outlining how farmers and distributors may increase the efficiency of dairy processing facilities. The majority of the studies just briefly mentioned supply chain optimization.