scholarly journals The Implementation of Technology Acceptance Models in the Online Shopping Activity Through Social Media Instagram Among University of Sumatra Utara Students

2018 ◽  
Author(s):  
Dr. Selwendri ◽  
Dr. Rumyeni
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Online Shopping ◽  
Technology Acceptance Models

Understanding Egyptian Consumers' Intentions in Online Shopping

2021 ◽  
pp. 1357-1376
Author(s):  
Reham I. Elseidi
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Shopping ◽  
Reasoned Action ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Internet Users ◽  
Technology Acceptance Models ◽  
Perceived Enjoyment

The purpose of this article is to investigate the factors that impact on Egyptian consumers' attitudes and intentions to use online shopping by integrating the technology acceptance models of Davis, and Fishbein and Ajzen's theory of reasoned action. In addition, other variables will be added such as trust and perceived enjoyment for its theoretical framework. A total 306 current internet users in Egypt provided usable responses. Structural equation modelling was employed to test the proposed model and research hypotheses. The findings showed that perceived usefulness, perceived ease of use, trust and perceived enjoyment were the significant predictors of attitude toward online shopping; whereas, attitude, perceived usefulness and perceived enjoyment were the most important factors affect the behavioural intention toward online shopping. The article provides some useful suggestions for the practitioners within the online shopping field.

Understanding Egyptian Consumers' Intentions in Online Shopping

2018 ◽  
Vol 8 (3) ◽  
pp. 1-18 ◽  
Author(s):  
Reham I. Elseidi
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Shopping ◽  
Reasoned Action ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Internet Users ◽  
Technology Acceptance Models ◽  
Perceived Enjoyment

The purpose of this article is to investigate the factors that impact on Egyptian consumers' attitudes and intentions to use online shopping by integrating the technology acceptance models of Davis, and Fishbein and Ajzen's theory of reasoned action. In addition, other variables will be added such as trust and perceived enjoyment for its theoretical framework. A total 306 current internet users in Egypt provided usable responses. Structural equation modelling was employed to test the proposed model and research hypotheses. The findings showed that perceived usefulness, perceived ease of use, trust and perceived enjoyment were the significant predictors of attitude toward online shopping; whereas, attitude, perceived usefulness and perceived enjoyment were the most important factors affect the behavioural intention toward online shopping. The article provides some useful suggestions for the practitioners within the online shopping field.

scholarly journals The Interaction Effect of Comprehensiveness Between Social Media and Online Purchasing Intention in Jordanian Pharmacies

2020 ◽  
Vol 14 (15) ◽  
pp. 208
Author(s):  
Jassim Ahmad Al-Gasawneh ◽  
Mahmoud Hussein Al-Wadi ◽  
Belal Mahmoud Al-Wadi ◽  
Bandar Ersan Alown ◽  
Nawras M Nuseirat
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Perceived Risk ◽  
Structural Equation ◽  
Online Shopping ◽  
Positive Impact ◽  
Study Data ◽  
Equation Modeling ◽  
Purchasing Intention ◽  
Acceptance Model

<p>This empirical paper examined the moderating role of comprehensiveness between social media and online shopping intention among customers of Jordanian pharmacies. Technology acceptance model (TAM) and the theory of planned behaviour (TPB) were the applied theories in this study. Data were collected from potential customers using a survey questionnaire. A total of 198 usable questionnaires were obtained and the data were analyzed. Partial least squares structural equation modeling (PLS-SEM) was used in the outcome examination. The results show a positive impact of social media on online shopping intention. Further, comprehensiveness moderated the relationship strengths between social media and online shopping intention. This paper finds that focusing on social media strategies such as adopting intimacy, decreasing the perceived risk, and increasing trust could motivate online shopping among customers. Pharmacies in Jordan may consider these findings and achieve them by providing more comprehensive information in their advertisement and announcement.</p>

A Theoretical and Empirical Reflection on Technology Acceptance Models for Autonomous Delivery Robots

2021 ◽  
Author(s):  
Anna M. H. Abrams ◽  
Pia S. C. Dautzenberg ◽  
Carla Jakobowsky ◽  
Stefan Ladwig ◽  
Astrid M. Rosenthal-von der Pütten
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Models

Customer Experience: Extracting Topics From Tweets

2021 ◽  
pp. 147078532110475
Author(s):  
Manit Mishra
Keyword(s):  
Social Media ◽  
Customer Service ◽  
Latent Dirichlet Allocation ◽  
Online Shopping ◽  
Customer Experience ◽  
Process Failure ◽  
Shopping Experience ◽  
Social Media Platforms ◽  
Media Platform ◽  
Moments Of Truth

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.

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