scholarly journals Perceived health risk, online retail ethics, and consumer behavior within online shopping during the COVID-19 pandemic

2021 ◽  
Vol 17 (3) ◽  
pp. 17-29
Author(s):  
Yuniarti Fihartini ◽  
Arief Helmi ◽  
Meydia Hassan ◽  
Yevis Marty Oesman

The risk of virus contracting during the COVID-19 pandemic has changed consumer preference for online shopping to meet their daily needs than shopping in brick-and-mortar stores. Online shopping presents a different environment, atmosphere, and experience. The possibility of ethical violations is higher during online than face-to-face transactions. Therefore, this study was conducted to investigate the influence of perceived health risk and customer perception of online retail ethics on consumer online shopping behavior during the COVID-19 pandemic, involving seven variables, namely perceived health risk, security, privacy, non-deception, reliability fulfillment, service recovery, and online shopping behavior. The data were collected through an online survey by employing the purposive sampling technique to a consumer who has shopped online during the COVID-19 pandemic in Indonesia. 315 valid responses were obtained and analyzed through quantitative method using SEM-Amos. The results showed that perceived health risk and four variables of online retail ethics including security, privacy, reliability fulfillment, and service recovery affected online shopping behavior. Meanwhile, non-deception was found to have an insignificant effect. The coefficient value proved perceived health risk to be more dominant in influencing online shopping behavior than the variables of online retail ethics. Thus, consumers pay more concern for their health during online shopping. However, positive consumer perceptions of the behavior of online retail websites in providing services also can encourage consumers to shop online during this pandemic.

2019 ◽  
Vol 21 (1) ◽  
pp. 32-40
Author(s):  
Sherly Tanoto ◽  
Evelyn Evelyn

With the recent booming of e–commerce business in Indonesia, it is essential to conduct further studies on online shopping behavior of Indonesians. Past studies on online shopping addiction emphasize only psychological factors and overlook financial factors. To fill this research gap, this study aims to examine the association and effect of financial knowledge and financial wellbeing on online shopping addiction. The Bergen Shopping Addiction Scale (BSAS) was adopted to assess online shopping addiction whilst financial knowledge and financial wellbeing scales from Australian Unity were used to measure the other two research variables. Data was collected through an online survey of 230 young Indonesians. To analyze the data, Pearson correlation and multiple regression techniques were implemented. Outcomes of this study revealed that most respondents had medium and high levels of financial knowledge and financial wellbeing. Interestingly, addictive respondents showed high financial knowledge and financial wellbeing. Financial knowledge and financial wellbeing were positively related to online shopping addiction. Financial wellbeing was a better predictor because it might be possible that individuals with positive feelings on their financial conditions were more comfortable in increasing their online spending behavior. The results of this study provide insights for future studies and e–commerce owners.Keywords: Online shopping addiction, financial knowledge, financial wellbeing.


2016 ◽  
Vol 69 (2) ◽  
pp. 794-803 ◽  
Author(s):  
Ilias O. Pappas ◽  
Panos E. Kourouthanassis ◽  
Michail N. Giannakos ◽  
Vassilios Chrissikopoulos

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Munazza Mahmood ◽  
Syeda Hina Batool ◽  
Muhammad Rafiq ◽  
Muhammad Safdar

PurposeThe present study aims to examine the current digital information literacy (DIL) skills of female online shoppers in Lahore city of Pakistan. Data were gathered from a purposive sampling of women, aged between 20–50 years who were buying products online, not from the traditional retail stores. Out of 309 received questionnaires, 269 responses were useable and were utilized for data analysis. Descriptive and inferential statistics were used to deduce inferences.Design/methodology/approachQuantitative research approach was employed for this study, and a survey was conducted to collect the data from the study's respondents. For data analysis, descriptive and inferential statistics were used.FindingsResults revealed that the digital information literacy skills of women were good to a moderate level. However, they were not confident in applying advanced searching options. In accordance with what was hypothesized in a directional hypothesis, DIL was found to be a strong predictor of online shopping behavior of women, consequently highlighting the importance of such competencies in modern life. Other findings illustrate that participating women rarely engaged in online shopping and felt hesitation in using credit/debit card for online transactions.Research limitations/implicationsThese observations highlight the important role of information professionals in creating digital literacy among different population groups, specifically women, by planning digital information instruction through courses, workshops and trainings. This could eventually be possible with the dynamic role of librarians or information professionals in the society.Originality/valueThe present study adopts the unique approach of measuring online shopping behavior of female shoppers in connection with their digital information literacy skills.


2015 ◽  
Vol 5 (1) ◽  
pp. 38-50 ◽  
Author(s):  
Rajyalakshmi Nittala

This study examines the factors influencing online shopping behavior of urban consumers in the State of Andhra Pradesh, India and provides a better understanding of the potential of electronic marketing for both researchers and online retailers. Data from a sample of 1500 Internet users (distributed evenly among six selected major cities) was collected by a structured questionnaire covering demographic profile and the factors influencing online shopping. Factor analysis and multiple regression analysis are used to establish relationship between the factors influencing online shopping and online shopping behavior. The study identified that perceived risk and price positively influenced online shopping behavior. Results also indicated that positive attitude, product risk and financial risk affect negatively the online shopping behavior.


Author(s):  
Mudiana Mokhsin ◽  
Azhar Abdul Aziz ◽  
Amer Shakir Zainol ◽  
Norshima Humaidi ◽  
Nur Ain Adnin Zaini

2020 ◽  
Vol 12 (4) ◽  
pp. 143-160
Author(s):  
Veronika Svatosova

In this article a total of fifteen determinants of online shopping behavior have been identified that could have an impact on the strategic management process in e-commerce competitiveness. The main objective of the paper is to evaluate the impact of determinants of online shopping behavior on the strategic management process in e-commerce. The main research methods used in the research are as follows: analysis of secondary data, a questionnaire survey among a selected group of e-commerce companies, a critical analysis and a quality comparison of the actually applied determinants of online shopping behavior. The verification of hypotheses is realized using selected methods of statistical induction and descriptive statistics. In summary, the research has shown there is no relationship between evaluating the quality of determinants companies in e-commerce and evaluating the importance of determinants of online shopping behavior. Determinants have an important impact in the process of creating and realizing an e-commerce strategy, with all e-commerce companies regardless of their size being aware of their practical impact and importance. It can be concluded the importance and quality of determinants of online shopping behavior correspond to the type of strategy and strategic management process in terms of e-commerce competitiveness.


2021 ◽  
Vol 19 (2) ◽  
pp. 1-16
Author(s):  
Musrat Siyal ◽  
Saeed Siyal ◽  
Jun Wu ◽  
Debajyoti Pal ◽  
Muhammad Mujahid Memon

Online shopping is an emerging trend throughout the world. Likewise, it is used in China among Chinese consumers, but not all foreigners use it frequently due to several factors. This study discussed those factors which cause hindrance for foreigners to use online shopping and their behavior towards it. To do so, the authors have proposed the model by extending the technology acceptance model (TAM). The data were collected from the international students in China through a survey questionnaire and analyzed by SPSS to draw the results of the proposed relationships. The findings show that the online shopping behavior of international students in China is negatively related to financial risk and positively related to trust and ease of use. Moreover, purchase intention mediates these relationships. The results will be useful for consumers and online sellers to retain existing consumers and attract more foreigners studying in China. Moreover, the paper mentioned the implications and future directions of the study.


Author(s):  
Mohamed Ali Abdinur

Due to the advancement of technology, many businesses moved from physical locations to online businesses where they do business online. The objective of this paper is to investigate the factors affecting online shopping behavior among residents of Lasanod Somalia. This paper used a quantitative research approach. Data were collected from residents of Lasanod Somalia through questionnaires. 160 questioners were collected from respondents who were selected using a simple random sampling technique. The results showed that factors such as trust, firm reputation, functionality, privacy, reliability, and firm value have an influence on consumers’ online buying behavior. The study found out there is a strong positive correlation between trust and firm reputation with an R-value of .612 and a significant level of .000 which is way below 0.01. This research focused on Lasanod city and cannot be generalized to the whole of Somalia. Furthermore, the sample size was not large.


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