Query: e-commerce  in a pandemic

title: Inovacao do E commerce Brasileiro na Pandemia
abstract: O artigo objetiva analisar o e commerce nos primeiros cinco meses de 2020, relacionando a inovacao empreendedora entre o antes e o durante a crise do COVID 19. Obrigados a suspenderem suas vendas via lojas fisicas, varejistas aceleram ou revisam sua estrategia no comercio eletronico. Ja os consumidores, impedidos de sair, tendem a comprar pela internet ainda mediante indicadores desfavoraveis no mercado de trabalho. Sera possivel atingir maiores niveis de competividade nesse cenario? Essa pesquisa e de natureza aplicada, de carater exploratorio e explicativo com levantamento de dados bibliografico e telematizado. Conclui se na demonstracao das inovacoes estrategicas e desafios das empresas e consumidores numa nova adequacao ao mercado.

title: use of e commerce during COVID 19 pandemic towards revenue and volume of MSMEs sales
abstract: 27 October 2020 A large number of MSMEs in Denpasar City must be able to overcome the challenges caused by the COVID 19 virus and must be able to reach changes around it. Marketing communication must be done as well and as effectively as possible to potential customers. The use of online strategies with ecommerce media is currently the best solution for MSMEs. This is because promotion through online media is easier to reach consumers in terms of introducing or selling their products without having to meet face to face. Ecommerce makes it easier for consumers and producers to make transactions. The purpose of this research is to examine the effect of e commerce on the income and sales volume of MSMEs in Denpasar City. Targeting MSMEs as research respondents. The data collection technique used is a questionnaire technique with a sample of 100 MSME owners. The data obtained will be analyzed using a partial least square (PLS) based structural technique. The results of this study are expected to be able to contribute ideas to related parties, in this case, the community, government, and MSMEs players related to the effect of e commerce on the income and sales volume of MSMEs.

title: The Impact of Corona Pandemic on the E Commerce Industry Using Data Mining
abstract: In this 21st century, the world got introduced to a new respiratory system attacking virus called "Coronavirus" causing a disease called "Covid 19" As this virus is very contagious and spread through physical contact that may be the pathway for the virus into the lungs, people started practicing social distancing. As a result of this pandemic situation, many businesses and social places met a great loss and many of them had to shut down. But on the contrast, people who are maintaining strict quarantine tend to be more online centric. So now, the main question is whether this pandemic brought good fortune for the e commerce industry of Bangladesh or the complete opposite. There have been no research regarding this topic ever before, let alone answering aforementioned questions. So, this research work decides to conduct an elaborate research using Data Mining on that matter inside the geological area of Bangladesh. This research answers most of the questions about the relation and effects of the "Corona pandemic" situation with the newly growing e commerce industry of Bangladesh.

title: A Secured Architecture for Transactions in Micro E Commerce using QR scan, e Wallet Payment Applications with Adaptation of Blockchain
abstract: Novel corona virus outbreak started from China which has reached to every country around the world. As it is an airborne disease it spreads from person to person just by talking, coughing and sneezing within the range of below 6 feet from each other. The increasing number of cases of COVID 19 has enforced the government all across the world to take measures to impose lockdown in order to contain and combat COVID 19. The main reason of imposing lockdown was to break the chain, which can be a temporary solution and a long lasting change in lifestyle is needed. In the wake of global pandemic there has been highly elevated used of contactless and cashless payment system during shopping. There are several methods and one of the are using QR code. QR code scan is widely used but possess cyber security threats. The objective of the paper is to propose a Blockchain based E Wallet solution to promote contactless payment methods during shopping. The proposed system discusses the security threats of QR code payment gateway and proposes a model which enables encryption and decryption system. A blockchain architecture is proposed to save and protect the transactions at the user and merchant level.

title: Reviving the 'new handshake' in the wake of a pandemic
abstract: It is often assumed that companies and consumers are on opposing 'teams' In reality, however, consumers and companies enjoy more commonalities than contradictions. Both benefit when deals go well and disputes are resolved quickly and cheaply. The problem is that face toface dispute resolution can be costly in terms of time and money, and even dangerous in these times of COVID 19. Furthermore, getting lawyers is generally impractical and overly expensive in consumer cases. The solution is a well designed online dispute resolution (ODR) system that harnesses business and consumer commonalities, and creates a win win for all stakeholders in e commerce disputes. That is not to say that ODR is the 'be all and end all' for e commerce disputes. All ODR is not fair and efficient. Furthermore, the digital divide remains a concern and the internet undoubtedly generates vulnerabilities for consumers, but it also creates opportunities for consumer empowerment. The time is right to take advantage of those opportunities, and create a unified ODR system that provides fast and fair resolutions worldwide. This article discusses ideas for such a system to create a 'new handshake' that inspires trust in e commerce.

title: Avoiding Cybercrime Pandemic in Cashless Society using HMM
abstract: Internet fraudulent activities are increasing dramatically in the availability of technology resources like telecommunication networks, mobile communications, and E commerce. Fraud is a major problem in electronic payment systems. With this increased availability has come a new form of criminal activity that takes advantage of electronic payment system, namely cybercrime, mobile crime, SIM crime and computer fraud. Currently, these new forms of crime are burgeoning and pose a new and challenges to researchers,merchant, customers and the law enforcement agencies. In this paper we discus types of electronic payment, we propose an effective method of detecting and preventing unauthorized cybercriminals from gaining access to several devices and technologies used in electronics payment by using Hidden Markov Model, also we take care not to prevent genuine transaction not to be rejected.

title: Mining Portuguese Comparative Sentences in Online Reviews
abstract: The constant expansion of e commerce, recently boosted due to the coronavirus pandemic, has led to a huge increase in online shopping. More and more, customers demand online reviews of products and comments on the Web to make decisions about buying a product over another. In this context, sentiment analysis techniques constitute the traditional way to summarize user's opinions that criticizes or highlights the positive aspects of a product. Sentiment analysis of reviews usually relies on extracting positive and negative aspects of products, neglecting comparative opinions. Such opinions do not directly express a positive or negative view but contrast aspects of products from different competitors. In this paper, we present the first effort towards detecting comparative sentences in Portuguese. Identifying comparative sentences is a key task for companies to know how users are comparing a product with their competitors and is essential for developing sentiment summarization applications for the end user. In addition, we present a supervised approach to automatically detect Portuguese comparative sentences, classifying them into five distinct groups:  Equative, (4) Superlative e (5) Non Gradable. To that end, this paper provides three main contributions: (1) a Portuguese lexicon list with words used to make comparisons; (2) two new Portuguese datasets with comparative sentences; and (3) a hierarchical approach for detecting multiple comparisons and classify the sentences in different groups by using state of art classification algorithms, reaching an accuracy of 87%

title: Who Was Shopping More During the Spring Lockdown 2020 in Germany?
abstract: During the lockdown, governmental restrictions resulted in changes to the day to day routines of many individuals. Some people appear to cope with stress by panic buying in an attempt to stockpile specific goods, resulting in empty supermarket shelves. Moreover, e commerce experienced significant growth during this period. We aimed to investigate potential changes in shopping frequencies and preferred shopping type (offline/online) and their relationship with pandemic specific anxiety and stress during the 2020 spring lockdown in Germany.  To address this question, we assessed self reported changes in shopping behavior in a German sample via an online survey conducted during April and May 2020.  A total of 3,122 adults were included in the analysis. Of the total sample, 35% reported no changes in their shopping behavior, 46.8% shopped less, while 18.2% shopped more during the lockdown. The groups differed with respect to sociodemographic variables, and those participants who were shopping more reported greater pandemic related health fears and stress due to the restrictions. Moreover, they shopped online more often during the lockdown than the other two groups.  While the majority of the sample reported no changes in their shopping behavior or even shopped less during the 2020 spring lockdown, a subgroup of individuals was shopping more during this time, especially food and drugstore products. It is important to understand which factors influenced individuals to shop more so that policy makers can target this group and prevent panic buying, especially during subsequent waves of infection. It is also important to inform vulnerable persons about the risk of developing a buying shopping disorder.

title: What drives online shopping among tertiary students in Ghana: The role of attitude and subjective norm
abstract: E commerce or online shopping gained its freedom in the 1990s when Amazon, eBay, and Alibaba were established after the Internet was opened for commercial use. Since then, it has gained massive popularity as more people continue to shop online. While many industries, including the aviation industry, tourism industry, and some other industries, were significantly affected by the Covid19 pandemic, e commerce or online shopping became more indispensable than ever. More people had to stay home, and some businesses were closed down, so people had to resort to shopping online. Besides, most countries, including Ghana, institutionalized a nationwide or some regional lockdown. Business Insider (2015) anticipated that any global crisis could trigger businesses to adopt online selling. According to Sengretsi (2020) the first ever e commerce websi te in Ghana, "eshopafrica.com" was launched in 2001, although Cordelia Salter Nour founded the company in 1999. The website sold locally manufactured products (made in Ghana products) to online consumers.

title: Product Review Sentiment Analysis by Using NLP and Machine Learning in Bangla Language
abstract: In this era of internet technology, in Bangladesh, online marketing or e commerce businesses were already thriving. Due to the COVID 19 pandemic, as people are in lockdown, online shopping became the main platform for shopping as it is the safest way. It accelerated the businesses to come online. More online product service providers makes it better for people but also raises the question of product quality and services. So it is easy for new customers to get scammed while shopping online. Our goal is to make a system that will analyze the customer's feedback from online shopping and provide a ratio of the positive and negative feedback written in Bangla from the previous customers using Natural Language Processing (NLP) We have collected over 1000 feedback and comments on the product to conduct the research. We used sentiment analysis along with some classification algorithms like KNN, Decision Tree, Support Vector Machine (SVM) Random Forest and Logistic Regression. With the highest accuracy of 88.81% SVM outperformed all the other algorithms.