scholarly journals Online Shopping : An analysis of contributing factors in TAM

2021 ◽  
pp. 149-153
Author(s):  
Amrutia Poonam
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Technologies ◽  
Online Shopping ◽  
Retail Sale ◽  
Contributing Factors ◽  
Online Retail ◽  
Acceptance Model

There has been an exceptional augmentation of online shopping as it provides convenience comfort to customers. The propagation of online shopping has kindled pervasive research to explore which aspects drives consumers for online shopping from consumer and technology oriented view. Online shopping, especially, an online retail sale is becoming increasingly popular. Greatest issue with information technologies is to identify the factors that influence consumers to adopt such systems. Various researchers have added different factors and over the years, the original TAM has been expanded. Hence, the present study has been carried out to explicate most widely accepted factors of technology acceptance model (TAM).

Understanding Vietnamese Consumer Intention to Use Online Retailer Websites

2020 ◽  
Vol 12 (2) ◽  
pp. 1-15
Author(s):  
A. F. M. Jalal Ahamed ◽  
Yam Limbu ◽  
Long Pham ◽  
Ha Van Nguyen
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Structural Equation ◽  
Online Shopping ◽  
Equation Model ◽  
Ease Of Use ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

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.

Technology Acceptance Model

2007 ◽  
pp. 306-308
Author(s):  
M. McCord
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Technologies ◽  
Employee Performance ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Intent To Use ◽  
Acceptance Model

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.

Developing a theoretical framework for intelligent contract acceptance

2020 ◽  
Vol 20 (3) ◽  
pp. 421-445 ◽  
Author(s):  
Alan J. McNamara ◽  
Samad M.E. Sepasgozar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Industry 4.0 ◽  
Theoretical Framework ◽  
The Body ◽  
Extensive Literature ◽  
Contributing Factors ◽  
Model Framework ◽  
Content Type ◽  
Acceptance Model

Purpose This paper aims to develop a novel theoretical technology acceptance model, namely, for predicting acceptance of the trending technology of intelligent contracts (iContracts) in construction, which aims to integrate the data from emerging cyber-physical systems being introduced to the sector through the industry 4.0 revolution. This model includes main dimensions and critical contributing factors to assess the readiness for the iContract concept within the construction contract environment. Design/methodology/approach Through an extensive literature review, the structure of a unique theoretical technology acceptance model for iContract implementation, within construction, was developed iContract acceptance model (iCAM). Relevant themes were assessed through the lens of the technology acceptance model framework and the four accepted dimensions of the technology readiness index (TRI) concept. The main components of the model were examined with selected practitioners, with relevant experience and understanding of the iContract concept, with thematic mapping of the discussions correlated back to 12 specific iContract contributing constructs of the four adapted TRI dimensions. Findings The paper contributes to the body of knowledge by proposing a novel iCAM for a trending technology based on the specific requirements of iContract adoption. The interviews show that while the desire to digitalise the contractual environment exists, the readiness of the sector for such a disruptive change is unknown. Practical implications The findings and proposed conceptual iCAM offers a lens for the further development of the iContract concept by assisting practitioners to forecast digital readiness of the contract process in construction. Originality/value This study offers a unique and theoretical framework, in an embryonic field, for predicting the success of iContract implementation within construction organisations through the digital, industry 4.0 and revolution.

The Factors Driving Continuance Online Shopping in Saudi Arabia

2010 ◽  
Vol 1 (2) ◽  
pp. 11-34 ◽  
Author(s):  
Talal Al-Maghrabi ◽  
Charles Dennis
Keyword(s):  
Saudi Arabia ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Regional Differences ◽  
Online Shopping ◽  
Perceived Usefulness ◽  
Factors Affecting ◽  
Central Regions ◽  
Acceptance Model ◽  
Intention To Continue

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.

scholarly journals Application of Expanded Technology Acceptance Model for Enhancing the HRIS Usage in SMEs

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Serkan Bayraktaroglu ◽  
Vasfi Kahya ◽  
Erhan Atay ◽  
Habibe Ilhan
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
User Satisfaction ◽  
Technology Use ◽  
Information Technologies ◽  
Success Factors ◽  
Successful Implementation ◽  
Use Of Technology ◽  
Acceptance Model ◽  
New Applications

Rapid developments and change have culminated new applications of information technologies. This trend is reflected in the plethora of innovative studies. Literature indicates that small- to medium-sized enterprises (SMEs) perceive human resources information systems (HRIS) as complicated and time consuming, resulting in resistance from both users and employees. The purpose of this article is to identify necessary acceptance conditions for a successful implementation of the HRIS software within SMEs in Turkey. SMEs compose 99% of all companies in Turkey. Fierce rivalry within sectors gives rise to increased technology use to gain a competitive advantage. This study contributes to an efficient implementation of widely used HRIS in SMEs and offers solutions for implementation failures, including user resistance and idle system problems. This study attempts to apply the technology acceptance model to 112 SMEs that implement HRIS exclusively with all the submodules. This research analyzes success factors for an effective HRIS implementation by testing the latest integrated model of expanded technology acceptance. It concludes that there is a positive and robust correlation between acceptance and use of technology variables and user satisfaction. The results of this study are useful not only for the managers but also for the manufacturers, technical support, online support, and aftersales services as they are advised to develop strategies for user satisfaction.

Recommendations to Buy in Online Retailing and Their Acceptance

2011 ◽  
pp. 237-252 ◽  
Author(s):  
Daniel Baier ◽  
Eva Stüber
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Shopping ◽  
External Factors ◽  
Specific Recommendation ◽  
Online Retailing ◽  
Shopping Experience ◽  
Acceptance Model ◽  
Online Shops ◽  
Adequate Design

Personal welcomings, individual assistance, as well as recommendations to inform and buy are becoming an integral part in online retailing. These new so-called personalization elements are assumed to increase the retailer’s share of wallet and the customer’s satisfaction. However, up to now only little is known about which external factors influence the customer’s acceptance of such personalization elements. This chapter discusses the forms of recommendations to buy and how their acceptance can be measured using the well-known Technology Acceptance Model (TAM) approach. An experiment is used, where volunteers are offered an online shopping experience with individually generated recommendations to buy. The experiment shows how high the acceptance of the generated recommendations is and how close this acceptance is connected to the quality and shopping relevance of the recommendations. Even though the results are limited to the specific recommendation types used, they give important implications for an adequate design of modern online shops.

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