e-Shopping acceptance: A qualitative and meta-analytic review

Ingham, John; Cadieux, Jean; Berrada, Abdelouahab Mekki

doi:10.1016/j.im.2014.10.002

Cited by 137 publications

(107 citation statements)

References 122 publications

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“…In line with previous evidence, and with the purpose of unifying some developments derived from TAM to explain online purchasing, [38] evaluated two models: (a) an extended TRA model for e-shopping, which states that PU, PEOU, enjoyment, and perceived risk all relate directly to attitude toward e-shopping, and that attitude, trust, and social influence relate directly to the intention of using e-shopping; and (b) an extended TAM model for e-shopping, which adds that PU, enjoyment, and perceived risk relate directly to behavioral intention and that social influence relate directly to attitude toward e-shopping. In both models, the authors confirmed that PU and PEOU positively and significantly predict attitude towards e-shopping, and in the extended the TAM for e-shopping PU significantly predicted intention.…”

Section: The Technology Acceptance Modelsupporting

confidence: 75%

“…However, the influence of facilitative conditions (related to PBC construct) on intention of buying online was found to be non-significant [58]. Finally, in a metaanalytic review about e-shopping acceptance, in which the authors tested the extended TRA and extended TAM models for e-shopping, it was confirmed that both the attitude toward shopping online and the social influence significantly predicted the intention to shop online [38].…”

Section: The Theories Of Planned Behavior and Reasoned Actionmentioning

confidence: 92%

“…In accordance with the TPB, TRA and the empirical evidence from [11], [34], [38], [45], [52], [59], [60], [71], [73] we proposed the following hypotheses: …”

Section: The Theories Of Planned Behavior and Reasoned Actionmentioning

confidence: 92%

“…TAM has become a useful model for explaining online purchasing and has been successfully adapted and extended to e-commerce [38]. The model stems from the analysis of external factors on individual beliefs, attitudes, as conceptualized by [5].…”

Section: The Technology Acceptance Modelmentioning

confidence: 99%

“…Thus, research in this field has evolved towards understanding the influence of external factors on perceived usefulness and ease of use [38], such as: (a) technological systems' features [2], [21], [26], [53]; (b) previous experience [2], [28], [34], [35]; (c) perceived fun in the process [77]; (d) innovation disposition [73]; and (e) intrinsic motivation, such as self-efficacy [13], [14], [17], [20], [21]. ¡Error!…”

Section: The Technology Acceptance Modelmentioning

confidence: 99%

See 4 more Smart Citations

Customer Behavior in Electronic Commerce: A Bayesian Approach

Dakduk

Horst

Santalla

et al. 2017

J. theor. appl. electron. commer. res.

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Online shopping has increasingly replaced traditional retail shopping, as a large number of consumers have adopted it on a global scale. However, while it is well established in developed countries, e-commerce is still at an early stage in emerging markets, hence there is a need to unveil which factors contributes to its adoption. The main objective of this study is to integrate the theory of planned behavior, the theory of reasoned action, and the technology acceptance model using a Bayesian approach to determine the key predictors of online purchase intention among internet users in Colombia. The results demonstrate the pertinence of the theory of reasoned action and technology acceptance model, models to explain online purchase intention, confirming that the intention to purchase online is mostly determined by the attitudes to e-commerce which, in turn, are explained by perceived usefulness, perceived ease of use, and the subjective norm related to online shopping.

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Section: The Technology Acceptance Modelsupporting

confidence: 75%

Section: The Theories Of Planned Behavior and Reasoned Actionmentioning

confidence: 92%

“…In accordance with the TPB, TRA and the empirical evidence from [11], [34], [38], [45], [52], [59], [60], [71], [73] we proposed the following hypotheses: …”

Section: The Theories Of Planned Behavior and Reasoned Actionmentioning

confidence: 92%

Section: The Technology Acceptance Modelmentioning

confidence: 99%

Section: The Technology Acceptance Modelmentioning

confidence: 99%

See 3 more Smart Citations

Customer Behavior in Electronic Commerce: A Bayesian Approach

Dakduk

Horst

Santalla

et al. 2017

J. theor. appl. electron. commer. res.

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The impact of a chatbot working as an assistant in a course for supporting student learning and engagement

Roca,

Chan,

Garcia‐Cabot

et al. 2024

Comp Applic In Engineering

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Nowadays, many digital learning tools can be integrated into a course to enhance the teaching–learning process. It is a fact that technology is changing how students learn and how professors teach. The growing utilization of AI chatbots in education to support students' learning underscores the importance of identifying critical aspects related to students' acceptance of this technology. Teachers require a deeper understanding of how students perceive and respond to chatbot assistance, as well as methods to measure levels of satisfaction, engagement, and knowledge acquired while using these technological tools. The aim of this study was, on the one hand, to illustrate the integration of a chatbot into a course to assist students in solving specific learning activities. On the other hand, it aimed to analyze the correlation between the factors influencing university students' intention to use chatbots and their perceived usefulness. It is noteworthy that the learning activity integrated two technologies: an Integrated Development Environment and a chatbot, offering additional educational value to students. The Technology Acceptance Model was used to measure the students' perceived usefulness and attitude toward this digital learning tool. The findings of this study provided insights to faculty on how to integrate and use chatbots to enhance students' engagement and motivation. The results revealed that the perceived usefulness of chatbots does, in fact, influence students' intention to use them. Most of the students expressed satisfaction with having a chatbot to assist them in solving exercises. Students highlighted that one of the most significant benefits was the 24/7 chatbot's support availability and its user‐friendly interface.

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What Matters the Most? The Key Factors That Lead to a New Service Adoption

2016

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On the basis of data collected from an online survey, we used regression analysis to empirically identify the key factors leading to consumers' adoption intentions toward a new service, Voice over Internet Protocol (VoIP) in the United States. This study makes the following contributions to the literature: 1) Our results suggest that the influence of strong ties (i.e., family and friends) has a more significant impact on consumers' adoption intentions for a new service than that from weak ties. 2) We also find that, for a really new product/service category, such as VoIP service, consumers' trust toward technology (or the product category itself) matters more than their trust toward the sponsoring company. 3) Consumers' trust also has a moderating impact on perceived performance and perceived effort level. C 2016 Wiley Periodicals, Inc.

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e-Shopping acceptance: A qualitative and meta-analytic review

Cited by 137 publications

References 122 publications

Customer Behavior in Electronic Commerce: A Bayesian Approach

Customer Behavior in Electronic Commerce: A Bayesian Approach

The impact of a chatbot working as an assistant in a course for supporting student learning and engagement

What Matters the Most? The Key Factors That Lead to a New Service Adoption

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