Barriers and drivers for non-shoppers in B2C e-commerce: A latent class exploratory analysis

Iglesías-Pradas, Santiago; Pascual-Miguel, Félix; Hernández-García, Ángel; Chaparro-Peláez, Julián

doi:10.1016/j.chb.2012.01.024

Cited by 48 publications

(36 citation statements)

References 26 publications

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“…Despite important contributions in each of the aforementioned areas, studies that reveal the social commerce shopper segments are still in their infancy. Methodologically, despite some rare exceptions (Bhatnagar and Ghose, ; Iglesias‐Pradas et al ., ), the extant research builds mainly on traditional segmentation methods, such as cluster analysis. Thus, new cross‐cutting classifications that characterize unobservable social commerce shopper segments are needed.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Researchers have recently recognized that although a priori segmentation often offers useful results, it does not address the unobserved heterogeneity of the data (Bart et al ., ). This has encouraged researchers to use latent class analysis to categorize online shoppers (Bhatnagar and Ghose, ) and non‐shoppers (Iglesias‐Pradas et al ., ) based on their unobserved heterogeneity, in which the respondents' group membership is unknown and cannot be determined a priori (Bart et al ., ). We build on the idea of categorizing shoppers on social networking sites by their unobserved behavior but use even more sophisticated latent class analysis methods called mixture modeling techniques (Jedidi et al ., ) as we aim to characterize the different segments based on the antecedents for their social media shopping intentions.…”

Section: Introductionmentioning

confidence: 99%

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Consumer segments in social commerce: A latent class approach

Nadeem

Juntunen

2016

J of Consumer Behaviour

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Social commerce is thriving; therefore, it becomes essential to recognize different types of social commerce shopper. In this study, we assume that social networking sites such as Facebook contain differently behaving consumer segments. Based on the assumption that the majority of social commerce shoppers are young adults, we are interested in identifying unobservable shopper segments that the young group may contain. A conceptual model has been tested that incorporates the psychological factor (trust), the unified theory of acceptance and the use of technology (UTAUT2), and behavioral aspects using mixture modeling techniques to reveal the unobservable consumer segments who have searched for clothing items through Facebook when shopping (n = 309). Three segments were found: social patrons (n = 219), wary explorers (n = 72), and sporadic explorers (n = 18). The study is a rare attempt to specifically categorize social commerce shopper segments by using mixture modeling techniques. The study offers further research avenues. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Consumer segments in social commerce: A latent class approach

Nadeem

Juntunen

2016

J of Consumer Behaviour

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“…To demonstrate this view, we combine factors from other theories as a supplement. Consequently, this study uses additional factors such as usage barriers [16] and ability [17] to describe the aspects of behavior change and the persistence of technology use when the technology is modified or changed from the original. This paper is organized as follows: the next section presents the theoretical background including TAM [9] and resistance theory [18].…”

Section: Introductionmentioning

confidence: 99%

An integration of TAM with usage barriers and ability to understand consumers intention to use SSTs

Tongnamtiang

Leelasantitham

2020

ECTI-CIT

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This study examined the factors that influence consumers acceptance and use of self-service technology by integrating a ground theory model such as the technology acceptance model and the theory of innovation adoption. The variables that affect consumers attitudes and intentions were investigated. This included perceived usefulness, perceived ease of use, relative advantage, complexity, and knowledge. Further, the variables from the resistance theory, which consist of usage barriers and ability, were investigated. Interviews and surveys were conducted with two business operators that provide TVM services. Eight hundred online and offline consumers who experienced the TVMs were selected as a sample. The research model of this study was developed, and the correlations between the variables analyzed, using structural equation modeling. Our results confirm that the factors such as relative advantage, knowledge, perceived usefulness and perceived ease of use positively affected the attitude and intention toward using the TVM. Factors such as usage barriers and complexity negatively impacted the intention to use the topup machine. These results can be used as baseline data for developing or designing self-service technology. Entrepreneurs should consider these factors to make technology continue to be recognized and encourage in the use of self-service technology.

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“…Table 1 indicates that it is important to notify that many studies investigated the importance and necessity of continuance usage intention for future studies, e.g. (1)(2)(3). From the review of literature on continuance usage intentions, some models have been put forward to explain the continuity of the e-commerce .…”

Section: Review Of Literature On Continuance Usagementioning

confidence: 99%

Development of research continuous usage intention of e-commerce. A systematic review of literature from 2009 to 2015

Harasis¹,

Qureshi²,

Rasli³

2018

IJET

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This paper systematically reviews the literature on the continuous usage intentions from 2009 to 2015. From the review of literature on continuance usage intentions, some models have been put forward to explain the continuity of the e-Commerce. However, each model is extensively different from one another. Over the years, a considerable development in the literature of Continuous intentions. However, there is still a necessity to present a more comprehensive and integrative model for the continuance usage intention of e-commerce users than the models in existence at the moment. The Expectation Confirmation Model (ECM) has been widely accepted in general. In addition, many researchers stated that ECM model can be employed to look into e-commerce better than other existing models and theories.

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Barriers and drivers for non-shoppers in B2C e-commerce: A latent class exploratory analysis

Cited by 48 publications

References 26 publications

Consumer segments in social commerce: A latent class approach

Consumer segments in social commerce: A latent class approach

An integration of TAM with usage barriers and ability to understand consumers intention to use SSTs

Development of research continuous usage intention of e-commerce. A systematic review of literature from 2009 to 2015

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