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During the COVID-19 pandemic, the world has witnessed rampant use of digital technology in almost every facet of huma lives. However, these digital techniques like use of mobile apps have certain drawbacks and constrains. These could be addressed with the use of emerging technologies like Internet of Things (IoT). In healthcare, that is Internet of Medical Things (IoMT). A number of ongoing studies show that integrating security measures with technology will lead to the adoption of stable IoMT applications. Emerging IoMT technologies used in conjunction with Blockchain, Artificial Intelligence, and Big Data, provide feasible solutions. The paper focuses on IoMT models, innovations, and security progress made to tackle COVID-19 issues. This paper contains the bibliometric research highlighting the use of disruptive technology for the diagnosis of COVID-19. It reviews the adoption of contactless services in the post-COVID-19 period along with potential opportunities as well as challenging obstacles for healthcare agencies, policymakers, and customers. [ABSTRACT FROM AUTHOR]

In today's world, due to technological advances and their numerous applications, huge data is generated. In today's digital world everything from information exchange to buying and selling is done through the internet. This has resulted in a huge mass of data that can provide deep insights into the business. As a result of this, both small and large e-commerce businesses make use of big data analytics to obtain a competitive edge over others. Through a deep understanding of a market, product, or clientele, larger rewards can be reaped, and e-commerce companies by understanding big data capabilities and by using various analytic techniques can understand the purchasing behavior of their customers. As a result, these companies can target their marketing directly on customer inclinations, develop new products according to the demands of the customers, and ensure that the customers receive the level of service expected by them. This paper discusses how the application of various big data analytic techniques can bring about positive change in any e-commerce business. This qualitative study analyses some relevant use cases. This research will be useful to all existing and aspiring businesses in the e-commerce space, as it provides critical insights on how to incorporate big data analytics with their business, so that they can extract valuable knowledge about their customers' behavior which can enable them, to inter alia, to provide a personalized shopping experience. [ABSTRACT FROM AUTHOR]

As the name suggests blockchains are a group of interconnected blocks that contain information. It is a distributed ledger which is open to everyone. It is a chain of data blocks that are sorted sequentially and kept in a decentralized manner across all of the blockchain's participating nodes. Once data is entered inside a blockchain, it becomes very difficult to change it. Every block has three important parameters namely hash data, block hash code and also the block hash code of the preceding block. Therefore, blockchain can be regarded as highly secured and safe. This secure technology can disrupt how business happens and how data is stored across several industries especially the finance sector. However, the impact of Blockchain goes way beyond Banking and finance industry. In the field of marketing, marketers constantly need access to a lot of consumer data to better position their products and create efficient products which match the requirements of the consumers. With data privacy becoming a global issue, several consumers are becoming vigilant while providing their information on the internet. Also, it is becoming increasingly difficult for the advertisers to detect fraud in advertising which is mainly related to inconsistent PPC (Pay Per Click), CPC (Cost Per Click), Impressions and clicks. Ad vendors using illicit methods to gain access to users' personal data for their own gain, in exchange for rewards, and similar scenarios are a serious threat, therefore blockchain was introduced into the digital advertising world to offer users ownership over their data Benefits from Blockchain Marketing Technology, n.d.-a). Several questions have been raised on the methods used by advertising platforms to detect invalid clicks. This research paper adopts a narrative literature review approach where in the use cases of Blockchain in marketing and advertising sector will be analyzed and put forward. This paper will be beneficial to academicians, marketer, advertisers, and all activities related to Marketing and advertising. [ABSTRACT FROM AUTHOR]

The objective of the research paper is to find out the impact of the Netflix recommendation engine on customer experience and its effect on customer loyalty and customer engagement. Research Methodology: The research methodology used in the research was primary research using a structured questionnaire provided to Netflix online streaming users. A sample size of 150 respondents was taken, out of which 101 people answered the questionnaire. Suitable statistical techniques were used for analysis, like Factor analysis using Principal Component Analysis. Practical implications: The paper will be providing utility to the OTT platforms, especially Netflix in gauging and enhancing the customer experience on its platform, helping them lead the over-competitive and matured OTT segment. Netflix can further study the implication its recommendation engine has on its customers, helping them derive insights like how to better tune the algorithm of their recommendation engine to give its customers a better tailored cinematic experience leading to increased customer retention, loyalty, spending, and reduce churn. Originality: Despite the phenomenal results produced by the recommendation engine of Netflix by giving customers a personalized experience, such an experience can often lead to the customer getting overwhelmed. This can further lead to customers disliking the services offered and switching to a competitor leading to a loss in revenue and market share. The finding is to come up with parameters on which a customer judges the quality of services being provided and what implication does it have on the decision of the customer whether to renew the subscription or not. [ABSTRACT FROM AUTHOR]

The rise of scientific achievements and the development of medicinal discoveries make computer techniques and internet communication very important for telemedicine and healthcare. A large amount of information is being generated from hospitals and medicinal centers. Huge information needs big memory and an efficient transmission method. There must exist an efficient technique for the realization of transforming the data and an effective memory storage mechanism for large data. In order to the safe transfer of medicinal data represented by images and medicinal signals, and in order to protect medicinal image data during transmission, to ensure that the decryption is not possible, A secure method was used to compress these images using JPEG image compression, and then encrypt these images using RC4 encryption method to preserve the medicinal data from changes that may occur to it or tampering with its contents from an external source. The new image compression method, as well as the encryption of its medicinal data, has proven based on the parameters; "Compression Ratio CR", "Compression Time CT", "Mean Square Error MSE", and "Peak Signal to Noise Ratio PSNR" its efficiency in the transfer process by reducing its size to the lowest possible size without affecting its important medicinal data for Telemedicine purposes. [ABSTRACT FROM AUTHOR]