scholarly journals Add to cart: an investigation of the efficiency of social comparisons to thin-ideal images in the context of online shopping

2021 ◽  
Author(s):  
Alyssa Nicole Saiphoo

Recently, researchers have investigated the cognitive efficiency of social comparisons young women make to thin-ideal images. However, results have been mixed and methodology problematic (e.g. low ecological validity, lack of consideration for ethnicity). The purpose of the present study was to address these issues. Ninety-six Caucasian undergraduate females were exposed to thin-ideal images. These images were presented in the context of an online shopping experience, to create a more ecologically valid context. To investigate cognitive efficiency, cognitive load was manipulated by having participants memorize the colours of the models’ clothing items. Participants did not experience a decrease in appearance satisfaction when under high cognitive load, suggesting inefficiency. In contrast, an observed increase in negative mood under high load conditions may suggest efficiency. However, potential alternative explanations for this latter result include the non-specificity of the mood measure, the context the images were presented in, and task difficulty

2021 ◽  
Author(s):  
Alyssa Nicole Saiphoo

Recently, researchers have investigated the cognitive efficiency of social comparisons young women make to thin-ideal images. However, results have been mixed and methodology problematic (e.g. low ecological validity, lack of consideration for ethnicity). The purpose of the present study was to address these issues. Ninety-six Caucasian undergraduate females were exposed to thin-ideal images. These images were presented in the context of an online shopping experience, to create a more ecologically valid context. To investigate cognitive efficiency, cognitive load was manipulated by having participants memorize the colours of the models’ clothing items. Participants did not experience a decrease in appearance satisfaction when under high cognitive load, suggesting inefficiency. In contrast, an observed increase in negative mood under high load conditions may suggest efficiency. However, potential alternative explanations for this latter result include the non-specificity of the mood measure, the context the images were presented in, and task difficulty


Author(s):  
Shankar Chaudhary

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.


2020 ◽  
Vol 12 (22) ◽  
pp. 9594
Author(s):  
Leonardo Salvatore Alaimo ◽  
Mariantonietta Fiore ◽  
Antonino Galati

The advent of the Internet has significantly changed consumption patterns and habits. Online grocery shopping is a way of purchasing food products using a web-based shopping service. The current COVID-19 pandemic is determining a rethinking of purchase choice elements and of consumers’ behavior. This work aims to investigate which characteristics can affect the decision of online food shopping during the pandemic emergency in Italy. In particular, the work aims to analyze the effects of a set of explanatory variables on the level of satisfaction for the food online shopping experience. For achieving this aim, the proportional odds version of the cumulative logit model is carried out. Data derive from an anonymous on-line questionnaire administrated during the first months of the pandemic and filled by 248 respondents. The results of this work highlight that people having familiarity with buying food online, that have a higher educational level and consider food online channels easy to use, appear more satisfied for the food online shopping experience. These findings can be crucial for the future green global challenges as online shopping may help to reach competitive advantages for company sustainability.


2021 ◽  
pp. 147078532110475
Author(s):  
Manit Mishra

The ubiquity of social media platforms facilitates free flow of online chatter related to customer experience. Twitter is a prominent social media platform for sharing experiences, and e-retail firms are rapidly emerging as the preferred shopping destination. This study explores customers’ online shopping experience tweets. Customers tweet about their online shopping experience based on moments of truth shaped by encounters across different touchpoints. We aggregate 25,173 such tweets related to six e-retailers tweeted over a 5-year period. Grounded on agency theory, we extract the topics underlying these customer experience tweets using unsupervised latent Dirichlet allocation. The output reveals five topics which manifest into customer experience tweets related to online shopping—ordering, customer service interaction, entertainment, service outcome failure, and service process failure. Topics extracted are validated through inter-rater agreement with human experts. The study, thus, derives topics from tweets about e-retail customer experience and thereby facilitates prioritization of decision-making pertaining to critical service encounter touchpoints.


2015 ◽  
Vol 14 (2) ◽  
pp. 233-254 ◽  
Author(s):  
Lee Hao Suan Samuel ◽  
M. S. Balaji ◽  
Khong Kok Wei

2013 ◽  
Vol 217 ◽  
pp. 129-146
Author(s):  
THẢO HOÀNG THỊ PHƯƠNG

This research aims to identify the importance of factors that influence customer intention of purchasing electronic air ticket (e-ticket). The research compares the difference in purchasing intentions based on e-ticketing between demographic groups of age, income, educational level, and online shopping experience. With the sample size of 295 travelers, the regression models and ANOVA tests are used to process and explain data. The research detects four components, namely, perceived system usefulness, perceived ease of use, perceived behavioral control, and security of transaction that influence the consumer intention to buy e-ticket. The paper then recommends managerial solutions to the development of an electronic ticketing system in particular and e-commerce in general.


PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0193200 ◽  
Author(s):  
Yvana Bocage-Barthélémy ◽  
Armand Chatard ◽  
Nematollah Jaafari ◽  
Nina Tello ◽  
Joël Billieux ◽  
...  

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