ABSTRACT
As Covid-19 vaccination in the U.S. begins and hopes of a gradual return to normalcy are raised after much disruption in the shopping behavior of consumers, there is a need to examine consumers' shopping patterns at different stages of the pandemic to adequately understand the potential impacts on shopping behavior. This study explored the shopping behavior of Florida residents during the early transition phase of the pandemic, using data collected from an online survey from February to April 2021. A comprehensive analysis was conducted examining the shopping patterns in terms of purchase frequency, expenditure, and shopping trip distance as well as individuals' shopping attitudes. Further analysis of the shopping behavior was also carried out to investigate whether and how key demographic variables, including age, income, and gender, might be associated with their shopping patterns and attitudes. The analysis reveals that finding and comparing products were big motivators for using online shopping, while concerns about putting personal information online, shipping costs, and the return process may discourage online shopping. Women spent less than men but had significantly higher purchase frequencies than men. People generally liked shopping without interacting with anyone, which suggests that in-store shopping was not necessarily motivated by the need for social interactions. However, price, safety, and parking availability were the top factors in choosing the stores to shop from. Thus, urban and transportation planners should promote compact, mixed-use development and parking management strategies to reduce vehicle shopping trips and the need for separate trips for different purposes. © 2023 ICE Publishing: All rights reserved.
ABSTRACT
Customer shopping behaviour has changed and people are becoming used to accessing, using and adapting to online shopping rather than visiting stores physically due to COVID-19 restrictions. It is not known how long the trend will last but it can be observed that there will be changes in current and future models in almost every business around the world. According to the 'Motivation-need theory' (1943), every individual considers five (5) key elements to fulfil their needs. It includes physiological survival, safety, love, esteem, and self-actualization. The big question is why consumers act differently during the global pandemic, which does not support Maslow's 'Motivation-need theory'. It might be the panic situation all over the world, frustration of losing jobs, mental stress while isolated and many other factors that are making consumers act differently while shopping from e-commerce or different social media platform. This research study aims to examine the factors affecting consumer behaviour toward online purchasing during COVID-19 in Bangladesh. . © 2023 IEEE.
ABSTRACT
The rise of e-commerce and online shopping platforms has revolutionized the way we shop and make purchases. While the convenience and accessibility of online shopping have been a boon for consumers, it has also led to the rise of compulsive buying behavior and online shopping addiction among women. The purpose of this paper is to explore the phenomenon of compulsive buying behavior and online shopping addiction among women and to understand the factors that contribute to this problem. This paper provides a comprehensive review of the literature on compulsive buying behavior and online shopping addiction using a purposeful sample of two hundred women who consider themselves to be addicted to online shopping. The findings from this paper can help shed light on the issue and inform future research and interventions aimed at addressing compulsive buying behavior and online shopping addiction among women. © 2023 NSP Natural Sciences Publishing Cor.
ABSTRACT
Cybersecurity is an increasingly important factor in consumer attitudes toward online shopping. Online shopping has become an essential part of our lives in this digital era. As the popularity of online and e-commerce shopping continues to grow, so does the potential for cyber threats and attacks. As more and more consumers turn to online shopping, cyber threats such as hacking, identity theft, and credit card fraud have become more frequent. Therefore, understanding the factors of cybersecurity that affect consumer attitude is essential to build trust and creating a safe and sound shopping environment. This research explores the factors of cybersecurity that affect consumers' attitudes to shopping online and uses a survey to test several hypotheses related to influential cyber factors. Bangladesh is a developing country in Southeast Asia, and like many other countries, has experienced an increase in cyber threats and attacks in recent years. Consumers in Bangladesh face many of the same cyber threats, such as phasing attacks, malware, data breach, and other types of cyber security threats over online shopping. As a result of these cyber threats, online consumers are increasingly concerned about online security risks which may impact their willingness to engage in online shopping. Therefore, it is essential to identify critical factors of cyber security that impact consumers's attitudes toward online shopping to mitigate cyber risk and improve consumer trust in online shopping. This paper provides the result of a research study that will provide a better understanding of factors that influence consumer's trust and engagement with online and E-commerce platforms in Bangladesh) . © 2023 IEEE.
ABSTRACT
Currently, businesses located all over the world are adjusting to a new standard of operation. Customers are encouraged to make their purchases of necessities through the favored e-commerce platform of the organization. For the purpose of marketing web-based enterprises, websites such as Facebook, Twitter, Instagram, and Pinterest are utilized. The purpose of the study was to investigate how the COVID-19 epidemic altered the purchase patterns of Pakistani customers shopping online, with a particular emphasis on the role played by social media. The study utilized a quantitative research model and a descriptive research technique in its data collection and analysis. In order to obtain responses from 400 Pakistani clients, an online questionnaire employing the "purposive sampling" method was used. When looking at the data and putting the hypothesis to the test, PLS-SEM analysis was utilized. During the COVID-19 pandemic in Pakistan, a PLS-SEM study indicated that advertising tools, online reviews, and endorsements from celebrities had a favorable and significant effect on how individuals bought products online. According to the findings of this study, online businesses can improve their use of social media for marketing and advertising by following a number of particular measures. Customers have a greater propensity to make purchases via social media platforms when they come across favorable evaluations and recommendations from celebrities.
ABSTRACT
Intuitionistic fuzzy set (IFS) theory can be applied for multi-aspect systems due to its capability to address uncertainty and incomplete information in terms of membership and non-membership degrees. Unfortunately, classical Γ -structures cannot handle fuzzy and imprecise information in real problems. In fact, there is no rigorous base to practically express the effectiveness of multi-attribute systems in IFS environment. Here, we develop a generalized IFS with the notion of Γ -module called intuitionistic fuzzy Γ -submodule (IF Γ M) to establish a novel " Global electronic (e)-Commerce (GeC) Theory ". To simplify the analysis of parameters, (α , β) -cut representation is proposed in terms of comprehensive distribution of fuzzy number for the classification of components. On the other hand, Cartesian product is implemented to correspond the elements. Substantial properties of IF Γ M including (α , β) -cut, Cartesian product and t -intuitionistic fuzzy Γ -submodule (t -IF Γ M) are characterized with illustrative examples to extend the framework of IF Γ M, where (α , β) -cut and support t -IF Γ M are verified to be Γ -submodules based on the properties of IF Γ M. Through Γ -module homomorphism, image and inverse image, the parametric connections between (α , β) -cuts are systematically investigated. In addition, a mathematical relationship between the Cartesian product and (α , β) -cut is determined. The overlapping intersection of a collection of t -IF Γ M is proved to be t -IF Γ M, and the image and inverse image are preserved under Γ -module homomorphism. As global e -trades are increasingly expanding after the recent coronavirus disease 2019 (COVID-19) hit, with the growth of 26.7-trillion dollars, businesses are required to transform their traditional functional natures to online (or blended) strategies for cost efficiency and self-survival in the present competitive environment. Therefore, compared to recent studies on IFS in the context of Γ -structures, the main contribution of this study is to provide a theoretical basis for the establishment of a new GeC Theory through the developed IF Γ M method and Γ -module M which targets the purchasing rate of customers through e -commerce companies. In the end, the performance of the proposed method in terms of upper and lower cut, t -intuitionistic fuzzy set, support and IF Γ M model, is analyzed in the developed GeC Theory. The proposed GeC Theory is validated using real datasets of e -commerce mega companies, i.e., Amazon, Alibaba, eBay, Shopify. They are characterized based on the amount of online shopping by samples (individuals). Compared to the existing methods, the GeC approach is an effective IFS-based method for complex systems with uncertainty. [ FROM AUTHOR] Copyright of Engineering Applications of Artificial Intelligence is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
COVID-19 has fostered the growth and transformation of digital media in every aspect, importantly in the area of electronic commerce. During these days, many new practices inhabiting in human behaviour bring new norms for the marketers. Use of online shopping has increased incrementally due to the government advisory, changing consumer buying behaviour as well. An amalgamation of the old and new medium of selling goods and services are now bringing new business challenges post pandemic for the marketer, and customer retention is one of them. Henceforth, there is a dearth of studies addressing the impact of dimension of loyalty (behaviour/ attitude) on customer retention in online shopping platforms post pandemic. This study considers post pandemic as the context of research to determine the impact of behavioural and attitudinal loyalty on customer retention for the online shopping platforms. Further research also aims to determine whether the brand image plays a critical role in mediating the relationship between dimensions (Behavioural/ Attitudinal) of loyalty and customer retention for online shopping platforms or not? In the research, primary data represent the respondent from Delhi NCR. The author applied linear regression to validate the research idea. The findings indicate that attitudinal loyalty significantly enforces customer retention over behavioural loyalty. Also, brand image mediates the impact of attitudinal loyalty on retention. © 2023 SAGE Publications.
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Policymakers were surprised to find increases in sales tax revenues in 2020 due to expectations that they would drop 8-20%. We investigate this puzzle and provide novel insights into consumption taxes based on this experience. Using a case study from the State of Utah, we document that shifts in the structure of consumption played a significant role in the robustness of sales tax revenue. Two factors stand out in our results. The first factor is the structure of the tax base for sales taxes in the USA. This tax base covers only a subset of personal consumption, excluding, for example, many services. During the pandemic, when services were restricted or shut down, this caused a shift in spending toward goods that are more likely to be in the sales tax base. The second factor is the boom in e-commerce during the pandemic, which boosted sales tax collections. This was catalyzed by recent legal changes that made the collection of sales taxes in e-commerce easier. Interestingly, this e-commerce boost also shifted the point of sale and related sales tax revenues away from urban areas toward suburban areas. Our case study of the pandemic's effect on sales taxes in the USA generally, and Utah's experience specifically, provides lessons for consumption taxes, such as the VAT more broadly, and lessons on the role of consumption taxes for tax revenue volatility.
ABSTRACT
E-commerce is creating growth opportunities for e-retailers, especially during the Covid-19 outbreak. It increases the perceptions of both providers and customers toward their shopping convenience. In 2021, Vietnam became one of the fastest-growing countries among Southeast Asia's Internet economies. However, both scholars and management practitioners have argued the inconsistent assessments of the factors affecting customer purchase behavior in online settings. Thus, this study aims to identify the critical factors influencing customer behavioral intention toward e-commerce websites that were adopted from well-established models and relevant literature. The online survey was the data collection method. All items were measured through a 5-point Likert scale. This study proposed and analyzed a conceptual framework using existing survey data from 312 samples in the context of online buying via e-commerce websites. Data were analyzed by using the statistical tool SPSS. The results indicated that factors including perceived usefulness, transaction security, perceived ease of use, trust, and subjective norm positively influence customer shopping intention. The results revealed the most prominent impact of the transaction security on customer purchase intention. Besides, perceived risk is a significant barrier in online shopping through e-commerce websites. The researchers have brought practical insights and made conceptual contributions by extending existing research on the technology acceptance model (TAM) and theory of planned behavior (TPB) regarding online shopping on the e-commerce website. The paper helps to validate and strengthen the importance of customer purchase intention in an e-shopping environment. The findings would help e-commerce providers be able to formulate specific strategies to increase customer usage significantly. Moreover, managers can focus their attention and resources on the greatest significant factors regarding their effects on behavioral intention.
ABSTRACT
The advent of new media has opened up opportunities and space for youths to conduct business online. Nowadays, online shopping has become one of the main activities for Internet users because it saves an individual's time and energy. Although this modern technology provides various benefits, from another point of view it can pose a threat to Internet users, especially youths such as becoming victims of online fraud. The issue of fraudulent purchases of goods online is becoming more alarming. It is increasingly happening when the country faces the Covid-19 pandemic where the use of e-commerce is increasing among the people. A holistic effort needs to be made to view, address and curb the issues of buying goods online among youths. In this context, the knowledge and practices of consumers are vital so that they will not become victims of cybercrime. Therefore, this study aims to identify the level of knowledge, attitudes and practices of youths towards information privacy and security of online purchases. This study uses a quantitative approach in which a total of 400 respondents in Klang, Selangor have answered a questionnaire on the issue of online purchasing. The results of the study found that privacy and information security issues influence the attitudes and practices of youths when making online purchases. This proves that youths who have the knowledge and awareness are able to protect them from becoming victims of cyber crime and in turn are able to face the risks of online purchases.
ABSTRACT
This paper aims to propose an approach to evaluate the quality of online shopping services in times of pandemic COVID-19, from the ordering of quality attributes taking into account customers' perception. The proposed approach was developed from a structured questionnaire containing 25 quality attributes adapted from the E-S-QUAL model and applied to consumers of online shopping services. Fuzzy set theory was used in the approach to simplify the subjectivity of human judgment, along with the extension of Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). Therefore, this research was classified as applied, exploratory, quantitative and survey. To achieve the research objective, 819 questionnaires were collected. Among the main findings, it is highlighted that the attributes "product availability", "products with excellent quality", "confidence in online shopping processes" and "ease of buying online" were the ones that presented the best perceptions of quality by the respondents. At the other end, the attributes "opinion sharing on social networks", "buying online is a good option when you have little time", "distraction in online shopping searches" and "shopping online is a pleasure" showed the highest level of dissatisfaction with the service. Thus, this article highlights the importance of online shopping services in times of the pandemic caused by COVID-19, and its main contribution and originality is the development of an approach that aims to support the decision-making process, establishing strategic actions for the continuous improvement of online shopping services with the reduction of subjectivity in customer perception and with successive refinements.
ABSTRACT
The study intends to investigate the roles of the COVID-19 epidemic situational factors and hedonic and utilitarian motives on consumers' intent to buy fashion products online. It is theorised that the COVID-19 epidemic situational factors include physical obstacles caused by the lockdown and the closings of brick-and-mortar retailers, the antecedent states linked to the anxiety during the outbreak, the store atmosphere characterised by the risk of contracting the Coronavirus during shopping activity, and social distancing. An online questionnaire was collected from 351 Indonesian consumers. SmartPLS 3 and PLS-SEM were used for hypothesis testing. The results reveal that the COVID-19 epidemic situational factors, utilitarian and hedonic motives positively and significantly affect consumers' intent to buy fashion products online. These findings will help online marketers and retailers develop their websites and improve their selling endeavours.
ABSTRACT
Nowadays, online shopping has transformed the traditional shopping trend enormously. This shift has taken a altogether enlarged view after the COVID-19 pandemic which provided world full of opportunities for customers to make purchasing online with ease of home and without compromising the safety parameters. But now every new or old, small, or big platform wants to grab their customers at any cost for which they really need to understand the demand or expectations of customer popping in. Understanding the need of the customer is the key of success for online shopping sites. In our paper, we have made use of a deep learning model to first predict whether the customer is going to make a purchase or not. After deciding this broader category, we can actually provide offers for non-purchaser or a better deal which can make them shop, and for purchasers, we can provide some loyalty cash or coupons to make them stay. In our model, we have got training accuracy of 90.24% and validation accuracy of 88.15%. And the loss of both is 23% and 28%, respectively. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Companies are investing in big data analytics capabilities as they look for ways to understand and innovate their business models by leveraging digital transformation. We explore this phenomenon from the perspective of retail grocery business where evolving consumer attitudes and behaviors, rapid technological advances, new competitive pressures, laser thin margins, and the COVID-19 pandemic have accelerated the pace of digital transformation. We specifically analyze the role of big data analytics capabilities of the top five grocery companies in the United States in light of their digital transformation initiatives. We find that retailers are making major investments in big data analytics capabilities to power all aspects of their digital ecosystem-the online shopping experience for the digital consumer, digital store operations, pickup and delivery mechanisms-to enhance shopping experience, customer loyalty, revenue, and ultimately profit. © 2022 IEEE Computer Society. All rights reserved.
ABSTRACT
Online shopping through e-commerce sites is becoming more prevalent with the expansion towards a more digital age in our society together with recent factors such that of the COVID-19 Pandemic. Through Machine Learning and the concept of Sentiment Analysis, algorithms would be able to identify the sentiment of reviewers by processing the words used in the sentence. The research aims to determine the reliability of star ratings compared to sentiment analysis and which classification algorithm suits best for text classification by Filipino customer reviews in Shopee for Medical Personal Protective Equipment or PPEs. It also aims to identify the best classifier model to use in terms of its performance. The study was divided into two models: star ratings and sentiment analysis. Both data sets performed different preprocessing techniques and tested for Naive Bayes and Support Vector Machine classification models, and their performance measures were obtained. The findings of the study show that star ratings and annotated reviews present high similarity in terms of the sentiment and polarity classified per review. In terms of the best performing model, Support Vector Machine achieved the best scores for the performance measures among the tests. © 2022 IEEE.
ABSTRACT
The electric commerce (e-commerce) platform in Malaysia has been growing exponentially since the spread of Coronavirus Disease 2019 (COVID-19) pandemic. Many local businesses were badly affected when the first phase of Movement Control Order (MCO) was implemented for several weeks. The increasing number of social media platform users stems from wide internet accessibility and smartphone ownership. As such, this study investigated online purchasing behaviour in Malaysia by linking webrooming and user generated content (UGC) with brand experience and brand engagement. Essentially, this study unravelled consumer purchasing behaviour during the COVID-19 pandemic. This study explored the effects of UGC and webrooming on brand experience and brand engagement among Malaysian online consumers who purchased beauty product. As a result, UGC and webrooming displayed positive correlation with brand experience. However, brand experience was insignificant for brand engagement. Additionally, brand experience was unsuitable to function as a mediator. Thus, the impact of social influencers and shoppertainment on brand engagement should be assessed. Future studies may look into webrooming from the light of Stimulus-Organism-Response (SOR) Theory. Lastly, fake reviews, fake accounts, and bots that influence online purchasing behaviour among Malaysians should be investigated as well. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The COVID-19 pandemic and movement control order that started in 2020 has changed the shopping behavior to online shopping. This also increases in-home delivery services by the shipping providers. However, since the virus can be transmitted through surface transmission, the buyer is advised to avoid touching surfaces and clean or sanitize surfaces regularly with standard disinfectants to prevent the spread. In addition, with an increase in the parcel delivery process, missing parcels also will be one of the main problems that the buyer will be facing. This study has developed a smart parcel box with sanitizer to overcome the issues stated above. Smart in this context refers to the notification that the buyer will get once the parcel is placed inside the parcel box, the box itself will be locked once the parcel is in and only can be opened by the authorized user. This study utilizes the Arduino IDE software to control the operation of the locks and notifications. The notifications are linked to the Blynk Application that needs to be installed on the buyer's smartphone. The software is also coded to run the motor that controls the standard disinfectants that will be sprayed on the parcel for a few seconds. The results indicate one solution for the online shopping addicts to shop while avoiding the spread of COVID-19 viruses. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The aim of this study is to identify the impact of e-commerce on customer satisfaction and customer loyalty among online shopping platforms in Thailand during the COVID-19 pandemic. This study analyzes user interface quality, information quality and perceived privacy as factors influencing customer satisfaction and loyalty. The samples (400 respondents) were collected from an online questionnaire by using snowball sampling, convenience sampling as well as stratified random sampling. After gathering the data, it was analyzed by using simple and multiple linear regression in order to confirm and show the significance of the hypotheses. For data analysis, Multiple and Simple Linear Regression analysis methods were applied as well as a Five-Point Likert scale method. This study found that user interface quality, information quality and perceived security have a significant, positive impact on customer satisfaction and loyalty. This study further suggests that in order to gain the loyalty of online customers, the online shopping platforms should focus on other factors e.g., trust, which influence customer satisfaction. Achieving these goals are highly likely to ensure customer loyalty. The limitations of this research paper are that it is specifically focused on Thailand and consumers living in Thailand. Therefore, the findings that result from this research might not apply to other countries around the world and will only represent the situation in Thailand.
ABSTRACT
Aside from causing fear worldwide, COVID-19 has significantly affected global marketing and the behavior and attitudes of consumer. In Jordan, COVID-19 has affected the lifestyle, buying, and consumption patterns of consumer whereby in-store purchases are becoming less popular, and consumers are increasingly favoring other product sources. With the increasing usability of the internet in the business world, the popularity of online shopping is increasing, evidenced by the increased number of online retailers globally. A psychometric Fear of COVID-19 Scale (FCV-19S) was developed to evaluate COVID-19 fear and online shopping and it was employed to gauge consumers in developing countries like Jordan. This descriptive study presented a theoretical framework comprising trust issues, perceived ease of use, perceived risk and fear of complexity in online shopping among Jordanian consumers. The findings show that trust, perceived ease of use, fear of COVID-19 and perceived risk affect online shopping behavior. The increase in confidence in a given online site increases the frequency of online shopping, and the decrease in the risk perceived increases the decision to make an online purchase. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The purpose of this article is to discuss the purchasing behavior (PB), influencing factors, and personal factors of Chinese consumers through literature review, questionnaire survey, and research results. The frequency and amount of purchasing behavior (FPB and APB) are studied in the consumption behavior. In the influencing factors, channel cognitions (CC), product cognitions (PC), and the influence of personal factors on consumer consumption behavior of fresh agricultural products. The FPB and APB are significantly and positively correlated with the CC, PC, and advantage cognition (AC). The FPB and APB are significantly and negatively correlated with disadvantage cognitions (DC). People's CC, PC, and DC significantly affect their FPB and APB. © 2022 IEEE.