Influence of Mall Shopping Culture on Online Shopping Preferences: An Emerging Economy Perspective using the Technology Acceptance Model

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Reshma John ◽  
Anita Dani

Growth of e-commerce activities are keeping up pace with the rapid progress in the development and availability of internet. However, the availability of internet technology and its penetration does not automatically imply consumer preference of online shopping. This study aims to examine the factors influencing the decisions of consumers for engaging in online shopping in the context of UAE, and inquires whether the prevalence of mall culture has an impact on the online shopping adoption by consumers.  The Technology Acceptance Model (Davis 1989) was used to assess consumer perceptions and intentions towards online shopping. Data was collected through online surveys using convenience sampling method. From the analysis of sample data, there is sufficient evidence to conclude that online shopping is still not very popular in the UAE as residents prefer to do shopping in malls.  The findings of the study are relevant to the e-commerce retail entities operating in countries where the mall culture is an important influence in the retail scenario, as this will help them in formulating their strategy to accommodate the shopping preferences of both online and in-store customers.  The impact of the COVID-19 pandemic is also considered on the objectives and findings of the study.

Author(s):  
Wenjia Li ◽  
Shengwei Shen ◽  
Jidong Yang ◽  
Qinghe Tang

Currently, internet services are developing rapidly, and the relationship between specific types of internet services and the well-being of older adults is still unclear. This study took a total of 353 urban older adults aged 60 years and above as research objects to explore the impact of the use behavior toward internet-based medical services (IBMS) on their well-being through an online questionnaire. This study integrated well-being theory and peer support theory, constructed an extended structural equation model of technology acceptance based on the technology acceptance model (TAM), and analyzed the variable path relationship. The results confirm the proposed model: older adults improved their eudaimonic well-being through using IBMS; perceived usefulness significantly affected the older adults’ attitudes towards IBMS; perceived ease of use significantly affected the use of IBMS through mediation; peer support significantly affected older adults’ attitudes, willingness, actual use, and well-being in the process. This study proposes that facilitating IBMS use for older adults in the development and design of internet technology programs should be considered in order to provide them with benefits. Moreover, paying attention to peer support among older adults plays an important role in the acceptance of new technologies and improving their well-being. The “peer support” of this study expanded and contributed to the research on the impact on older adults’ well-being and the construction of a technology acceptance model. The peer support in this study extended the influence factor of eudaimonic well-being and contributed to the further development of the TAM.


Author(s):  
Ulfah Mediaty Arief Et al.

As the leading provider of education, teachers need to have high technology adoption skills. There is LMS technology in inputs that can streamline learning practices. Mostly with inclusion of the impact of organizational culture and machine self-efficacy on LMS Schoology, this study aims to see the capacity of technology acceptance by teachers using the Technology Acceptance Model (TAM).The results of the study using the model described above for teachers in the cities of Salatiga and Boyolali show that organizational culture does not have a major impact on attitude or purpose to use towards LMS Schoology.The self-efficacy of computers may not affect perceived utility, but has a substantial impact on perceived ease of use. The model also indicates that teachers, while they find it difficult to incorporate it, have a positive attitude towards the nature of LMS technology.


2020 ◽  
Vol 12 (2) ◽  
pp. 1-15
Author(s):  
A. F. M. Jalal Ahamed ◽  
Yam Limbu ◽  
Long Pham ◽  
Ha Van Nguyen

This study examines the applicability of an extended technology acceptance model (TAM) that incorporates trust, perceived risk, and self-enhancement as antecedents to the TAM constructs. Data collected from 299 Vietnamese online consumers, through a self-administered survey, were entered into a structural equation model using AMOS 23 to establish causality. The results partially confirm the applicability of TAM to the online shopping intentions of Vietnamese consumer, though contrary to expectations, perceived ease of use does not predict behavioral intentions. Trust and self-enchantment fit well with the TAM; the inclusion of perceived risk as an antecedent is questionable. The findings offer new opportunities for explaining TAM theory in light of Schwartz's value dimensions. This article thus concludes with a discussion of the research contributions and implications.


2009 ◽  
Vol 1 (3) ◽  
pp. 48-81 ◽  
Author(s):  
Donald L. Amoroso ◽  
Scott Hunsinger

This research reviews studies using the Technology Acceptance Model (TAM) to create a modified model and instrument to study the acceptance of Internet technology by consumers. We developed a modified TAM for the acceptance of Internet-based technologies by consumers. We retained the original constructs from the TAM and included additional constructs from previous literature including gender, experience, complexity, and voluntariness. We developed a survey instrument using existing scales from prior TAM instruments and modified them where appropriate. The instrument yielded respectable reliability and construct validity. The findings suggest that the modified TAM is a good predictor of consumer behavior in using the Internet. We found that attitude toward using the Internet acts as a strong predictor of behavioral intention to use, and actual usage of Internet technologies. Future researchers can use the resultant instrument to test how consumers adopt and accept Internet-based applications.


Author(s):  
Talal Al-Maghrabi ◽  
Charles Dennis

This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure regional differences with regard to continuance online shopping intentions in Saudi Arabia. Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Women in the eastern, western, and central region groups are equivalent. The structural weights are also largely equivalent, but the regression path from perceived usefulness to enjoyment is not invariant between female shoppers in the eastern and western regions or in the eastern and central regions. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 60% of the intention to continue shopping online. Furthermore, this research suggests that online strategies cannot ignore the influence of either direct or indirect regional differences on continuance intentions; the model can be generalized across Saudi Arabia.


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