scholarly journals How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic

2021 ◽  
Vol 13 (21) ◽  
pp. 11995
Author(s):  
Mostafa Ghodsi ◽  
Ali Ardestani ◽  
Arash Rasaizadi ◽  
Seyednaser Ghadamgahi ◽  
Hao Yang
Keyword(s):  
Traffic Congestion ◽  
Online Shopping ◽  
Personal Control ◽  
Demographic Characteristics ◽  
Influential Factors ◽  
Shopping Behavior ◽  
Interpretive Structural Modeling ◽  
Shopping Trips ◽  
And Gender ◽  
Online Shopping Behavior

Changing people’s shopping behavior from face-to-face to online shopping during the COVID-19 pandemic led to reduced shopping trips, and this decrease directly affects traffic congestion and air pollution. Identifying the factors influencing the increase of online shopping behavior during the pandemic can be helpful for policymakers in the post-COVID-19 era. This study aims to discover the effect of factors related to the COVID-19 pandemic and demographic characteristics on shopping attitude and, consequently, on shopping trips. Based on the interviews of ten experts, factors associated with COVID-19 and demographic characteristics are selected as influential factors on shopping attitude and shopping trips. For pairwise comparisons between these factors, a web-based questionnaire was designed and given to thirty experts. The relationship between all factors is examined using interpretive structural modeling (ISM) and Microscopic–Macroscopic (MICMAC) analysis. In addition, to prioritize factors, the IAHP model is employed. Based on the results, five levels of influential factors affect shopping attitude, which affects shopping trips: level 1, age and gender; level 2, income and education; level 3, the household size and the COVID-19 awareness; level 4, COVID-19 attitude and COVID-19 practice; and level 5, norm subject and shopping personal control.

scholarly journals Consumer perceived risk in online shopping environment via Facebook as medium

2018 ◽  
Vol 7 (4) ◽  
pp. 2485 ◽  
Author(s):  
Charu Panwar
Keyword(s):  
Perceived Risk ◽  
Financial Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Purchase Behavior ◽  
Primary Study ◽  
Product Risk ◽  
Considerable Impact ◽  
And Gender ◽  
Online Shopping Behavior

The study aims to understand the consumer buying behavior while shopping online. The study unveils the multidimensional perceived risk in online shopping that will be helpful for the marketers in mitigating the perceived risk. The study used universally accepted determinants of consumers’ perceived risk namely financial risk, product risk, delivery risk, time risk and privacy risk. This multi-pronged perceived risk has significant impact on the online shopping behavior of the customer and adversely affects their purchase behavior. The total number of 180 respondent has been selected for the primary study. The convenient sampling method of non-probability sampling has been used for selection of respondents. The study found that the demographics have a major role to play on consumers’ perception towards online shopping. Income and gender are the two important factors identified that may have considerable impact on consumers’ perception towards online shopping. T-test, ANOVA and regression analysis has been used for data analysis purpose. 

An Online Shopping Behavior Model Integrating Personality Traits, Perceived Risk, and Technology Acceptance

2015 ◽  
Vol 43 (1) ◽  
pp. 85-97 ◽  
Author(s):  
Wann-Yih Wu ◽  
Ching-Ching Ke
Keyword(s):  
Personality Traits ◽  
Technology Acceptance ◽  
Perceived Risk ◽  
Structural Equation ◽  
Online Shopping ◽  
Meta Analysis ◽  
Influential Factors ◽  
Shopping Behavior ◽  
Equation Modeling ◽  
Online Shopping Behavior

The popularity of electronic commerce is growing rapidly. However, previous studies regarding shopping online are rather fragmented in nature, and do not integrate their work into a comprehensive research framework to consider simultaneously the issues of motivation, risk, and trust. We conducted a meta-analysis to integrate the findings of previous researchers and to provide a more complete framework of online shopping behavior, based on the models of personality traits, perceived risk, and technology acceptance. We investigated the mediating effects of attitude and trust, and the direct and indirect effects on the 3 models showed different outcomes. Structural equation modeling was used to establish the relationships among the influential factors of personality traits, perceived risk, and technology acceptance with regard to online shopping intention.

scholarly journals The Effect of Payment, Complaint Resolve, Delivery, Product Quality and Technical Problem to Different Group of Age, Location, and Gender in Vietnam

2021 ◽  
pp. 106-113
Author(s):  
Anh Tuan Pham ◽  
◽  
Khashayar Yazdani
Keyword(s):  
Product Quality ◽  
Structural Equation ◽  
Online Shopping ◽  
Technical Problem ◽  
Shopping Behavior ◽  
Equation Modeling ◽  
And Gender ◽  
Online Shopping Behavior ◽  
And Behavior ◽  
Delivery Product

During the COVID-19 pandemic, the demand for online shopping has been surged since people were no longer to go to physical stores that leads to the dramatical change from traditional shopping behavior to online shopping behavior. Especially, the effect of payment, complaint resolve, delivery, product quality and technical problem is different from online customers grouped by different age, location, and gender. The objective of conducting the comparison is to understand how different respondents react within online shopping environment. The researcher collected 400 good samples from two big cities in Vietnam such as Ho Chi Minh and Ha Noi to analyse and verify the research model. According to the findings and the results after using structural equation modeling (SEM), it is evident that there is no significant effect from technical problem to all groups, also no significant effect from complaint resolve and product quality to Male group; and the rest of determinants effect significantly to different level of groups. There are many reasons to explain for these results based on culture, people and behavior of Vietnamese customers which will be showed in discussion and conclusion.

Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions

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

Examining digital information literacy as a determinant of women's online shopping behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Munazza Mahmood ◽  
Syeda Hina Batool ◽  
Muhammad Rafiq ◽  
Muhammad Safdar
Keyword(s):  
Information Literacy ◽  
Online Shopping ◽  
Literacy Skills ◽  
Shopping Behavior ◽  
Digital Information ◽  
Content Type ◽  
Information Literacy Skills ◽  
Information Professionals ◽  
Online Shopping Behavior

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.

Factors Influencing Online Shopping Behavior of Urban Consumers in India

2015 ◽  
Vol 5 (1) ◽  
pp. 38-50 ◽  
Author(s):  
Rajyalakshmi Nittala
Keyword(s):  
Perceived Risk ◽  
Financial Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Factors Influencing ◽  
Internet Users ◽  
Online Retailers ◽  
Product Risk ◽  
Electronic Marketing ◽  
Online Shopping Behavior

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.

scholarly journals Probability Model: Malaysian Consumer Online Shopping Behavior towards Online Shopping Scam

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Mudiana Mokhsin ◽  
Azhar Abdul Aziz ◽  
Amer Shakir Zainol ◽  
Norshima Humaidi ◽  
Nur Ain Adnin Zaini
Keyword(s):  
Online Shopping ◽  
Probability Model ◽  
Shopping Behavior ◽  
Malaysian Consumer ◽  
Online Shopping Behavior
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