Determinants of Online Shopping Influencing Thai Consumer’s Buying Choices

Changchit, Chuleeporn; Cutshall, Robert; Lonkani, Ravi; Pholwan, Kamolnut; Pongwiritthon, Ratthanan

doi:10.1080/15332861.2018.1496391

Cited by 42 publications

(38 citation statements)

References 59 publications

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“…Gefen et al [26] suggest that a website is an information technology; hence, the TAM should be viable to explain consumer intention to purchase online. This argument is supported by empirical findings showing that TAM is an effective theoretical framework that successfully predicts and explains the adoption of e-commerce, including consumer behavioral intention and actual behaviors towards purchasing online [14,15,27,28,29,30]. Therefore, our research framework is underpinned by the TAM suggested by Davis et al [16].…”

Section: Theoretical Background and Hypothesessupporting

confidence: 58%

“…Additionally, a comprehensive review by Changchit et al [15] demonstrates that the technology acceptance model (TAM) by Davis et al [16] has been widely applied in prior studies which investigated internet shopping behavior. However, given that such studies primarily concentrate on developed countries and markets, their findings may not be applicable to emerging economies [15].…”

Section: Introductionmentioning

confidence: 99%

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Investigating Consumer Attitude and Intention towards Online Food Purchasing in an Emerging Economy: An Extended TAM Approach

Nguyen

et al. 2019

Foods

108

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Along with the development of the Internet and technology, food retailers have increasingly adopted online channels that enable consumers to buy food products online. This research aims to investigate the factors that influence consumer attitude and intention towards online food purchasing. A research framework was developed by combining the technology acceptance model with website trust, which is an important facilitator of online shopping. Using an online survey, data were obtained from 319 online food shoppers in an Asian emerging economy, i.e., Vietnam. Results from structural equation modeling show that perceived usefulness, perceived ease of use, and website trust are important drivers of attitude towards online food purchasing. Among these drivers, perceived ease of use has the greatest impact on attitude. Additionally, attitude and website trust exert a direct and positive effect on intention towards online food purchasing. Taken together, these findings have important managerial implications for key stakeholders, such as online food retailers, associations, and policy makers. One key implication is that online food sellers must endeavor to make their websites simple to use, easy to navigate, reliable, and secure. Several potential caveats for future research studies are also presented in this paper.

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Section: Theoretical Background and Hypothesessupporting

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Investigating Consumer Attitude and Intention towards Online Food Purchasing in an Emerging Economy: An Extended TAM Approach

Nguyen

et al. 2019

Foods

108

View full text Add to dashboard Cite

show abstract

“…The problem in this domain is not solely technical but mainly behavioral. Therefore, a great deal of researches (Ariffin, Mohan, & Goh, 2018;Changchit, Cutshall, Lonkani, Pholwan, & Pongwiritthon, 2018;Chiu, Wang, Fang, & Huang, 2014;R. Davis, Lang, & Diego, 2014;Dwivedi, Rana, Jeyaraj, Clement, & Williams, 2017;Fortes & Rita, 2016;Huseynov & Yıldırım, 2016a;Y.…”

Section: Introductionmentioning

confidence: 99%

Online Consumer Typologies and Their Shopping Behaviors in B2C E-Commerce Platforms

Huseynov

Yıldırım

2019

Sage Open

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Consumer behavior in e-commerce platforms is one of the extensively researched area. Numerous studies in this field assessed consumer online shopping behavior from various aspects. However, literature review showed that most of the conducted studies do not carry out market segmentation analysis while accessing shopping behavior of online consumers. Therefore, the general conclusions made by these studies about consumer attitude, behavior, and decision-making process might not reflect actual behaviors of different consumer segments. In contrast to previous studies, this study initially carried out psychographic market segmentation analysis and found four different online consumer segments. Later, shopping behavior of each determined segment was assessed by using the developed behavior evaluation model. Findings of this study provide important information to e-retailers about the behavioral characteristics of each consumer segment. E-retailers can utilize this study findings to effectively allocate their marketing resources and design more successful marketing mix for each consumer segment.

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“…In this study, we chose to use TAM as the original framework because this model is considered the most influential and commonly employed theory for describing an individual's acceptance of information systems (Changchit et al 2018, Lee et al 2003). The TAM model was modified to fit within the context of social commerce adoption through the addition of three additional factors: (1) Perceived Computer Self-Efficacy (PCSE), (2) Perceived Online Review Credibility (PORC), and (3) Perceived Online Review Importance (PORI) were examined in the proposed model.…”

Section: Theoretical Background and Research Modelmentioning

confidence: 99%

Using Customer Review Systems to Support Purchase Decisions

Changchit

Klaus

Treerotchananon

2021

Journal of Global Information Management

Self Cite

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Online reviews have emerged as influential sources of information which greatly affect customers’ pre-purchase decision. Some studies have found that culture impacts online reviews, but many aspects of online review usage are still not well-understood. This study seeks to understand: What factors influence the usage of online reviews and consumers’ intention to use online reviews influenced by culture? This study collects data from U.S. and Thai consumers to examine what factors affect user attitudes and intentions. Structural Equation Modeling is used to analyze the data and the findings reveal that most of the proposed factors influence online review adoption for these two nationalities. One significant difference was found between the respondents of the two countries. The results should help online businesses gain a better understanding of these factors, and thus direct their efforts to develop features which positively influence online review usage.

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Determinants of Online Shopping Influencing Thai Consumer’s Buying Choices

Cited by 42 publications

References 59 publications

Investigating Consumer Attitude and Intention towards Online Food Purchasing in an Emerging Economy: An Extended TAM Approach

Investigating Consumer Attitude and Intention towards Online Food Purchasing in an Emerging Economy: An Extended TAM Approach

Online Consumer Typologies and Their Shopping Behaviors in B2C E-Commerce Platforms

Using Customer Review Systems to Support Purchase Decisions

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