Abstract:E-commerce has contributed immensely to the economies of developed countries and a factor in its success can be attributed to the adoption of e-commerce by their citizens. As such, it is perceived that ecommerce can also be an economic driver for developing countries. However, security has been identified as a major barrier that prevents citizens from adopting e-commerce in developing countries. Therefore, this paper examines Security Authentication Techniques (SAT), particularly Digital Signature (DS) and Dig… Show more
“…This has led to the growth of contactless digital technologies for customers and organisation benefit ( Pandey & Pal, 2020 ). However, few studies have investigated the adoption and diffusion of contactless digital technologies from a developing country context ( Alabi, White, & Beloff, 2020 ). Consequently, research gaps exist in our understanding of why customers, employees or organisations adopt or do not adopt these innovations.…”
“…This has led to the growth of contactless digital technologies for customers and organisation benefit ( Pandey & Pal, 2020 ). However, few studies have investigated the adoption and diffusion of contactless digital technologies from a developing country context ( Alabi, White, & Beloff, 2020 ). Consequently, research gaps exist in our understanding of why customers, employees or organisations adopt or do not adopt these innovations.…”
“…It might be obvious that Software Security affects users' attitudes to adopting m-commerce. A security threat to the system may cause denial of service, disclosure of data, financial losses, and personal abuse, among others [66,67]. All these threats negatively affect the user intention to adopt m-commerce.…”
Section: A Basic Constructs (Intermediate Variables)mentioning
confidence: 99%
“…Such system would receive an order, create a smart contract on which all collaborators agree and forward the appropriate information to a factory for production. The scope of the proposed research is entirely in the cyber world of the Cyber-Physical Systems, and the factory's cyber and physical parts are considered a 66 POSITION PAPERS OF THE FEDCSIS. SOFIA, 2020 black box.…”
Natural language inference (NLI) is a sentence-pair classification task w.r.t. the entailment relation. As already shown, certain deep learning architectures for NLI task -INFERSENT in particular -may be exploited for obtaining (supervised) universal sentence embeddings. Although INFERSENT approach to sentence embeddings has been recently outperformed in different tasks by transformer-based architectures (like BERT and its derivatives), it still remains a useful tool in many NLP areas and it also serves as a strong baseline. One of the greatest advantages of this approach is its relative simplicity. Moreover, in contrast to other approaches, the training of INFERSENT models can be performed on a standard GPU within hours. Unfortunately, the majority of research on sentence embeddings in general is done in/for English, whereas other languages are apparently neglected. In order to fill this gab, we propose a methodology for obtaining universal sentence embeddings in another language -arising from training INFERSENT-based sentence encoders on machine translated NLI corpus and present a transfer learning use-case on semantic textual similarity in Czech.In the following parts of this position paper we will elaborate on each step of the outlined process.
“…If added to these criteria, we associate the influence that the different channels and social media must expand coverage and visibility of these ecommerce strategies, a series of factors associated with the reputation levels of these channels must be considered, as well as of each of these trading platforms. Based on the security aspects, solutions based on single authentication are being established, such as those proposed in (Alabi, White, & Beloff, 2020), (Kuruwitaarachchi, Abeygunawardena, Rupasingha, & Udara, 2019), (Wang, Zhao, & Zhong, 2019), or (Mahmood, 2009;Arias-Caracas, 2018). However, the data that was generated in some electronic commerce establishments allows for another principle to determine its use and, within previously established trust criteria, can generate certain levels of reliability for the use of these transactional channels and facilitate purchase processes through digital platforms.…”
This article describes a proposal about a trust system for e-commerce platform based on semantic web technologies and trust dimensions rules. We try to expose a system that allow to manage communication processes between e-commerce platforms and users in a trustworthy manner. It allows the data flows and transactions gain more trust across the entire process. All of this can be achieved through the inference of rules exposed in the defined ontology, complemented by a cloud-based system with microservices architecture. With the implementation of the system through an e-commerce platform, could consume data from the microservices in order to get inferences about its clients that want to buy or sell something within its system. This system was created based on rules defined by the ontology, as well as the microservices could be used to register information about multiple e-commerce transactions. The result of this work is the Ontology and semantic web rules defined and implemented through protege.
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