Factors Affecting Social Commerce Acceptance in Lithuania

Gatautis, Rimantas; Medziausiene, Audrone

doi:10.1016/j.sbspro.2013.12.970

Cited by 53 publications

(40 citation statements)

References 18 publications

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“…section 2), the factor usefulness is examined in 13 studies. 12 studies (e.g., Featherman and Hajli, 2015;Hajli, 2012;Kim, 2015;Noh et al, 2013;Shen, 2012a) define the variable as usefulness or perceived usefulness and 1 study (Gatautis and Medziausiene, 2014) uses the conceptually similar variable performance expectancy, which is part of the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al, 2003). In these studies, usefulness has been confirmed to influence the use (7/8), purchase (3/3), and information disclosure (1/1) intention/behavior.…”

Section: Findings On the Factors And Their Effectsmentioning

confidence: 99%

“…Both factors have been examined in 8 studies. Different forms of social influence have been investigated such as normative social influence (also conceptualized as subjective norm or normative belief) and informational social influence (e.g., Featherman and Hajli, 2015;Gatautis and Medziausiene, 2014;Kwahk and Ge, 2012;Shin, 2013;Xi et al, 2016). Derived from the TRA (cf.…”

Section: Findings On the Factors And Their Effectsmentioning

confidence: 99%

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On the Factors Influencing Consumers’ Adoption of Social Commerce – A Review of the Empirical Literature

Friedrich

2016

PAJAIS

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Social commerce, the combination of e-commerce activities and social media, is a lucrative means for e-commerce companies to increase their sales volumes. As social commerce initiatives considerably depend on the consumers' social interactions, it becomes important for companies to understand how consumers can be stimulated to participate in social commerce. While several empirical studies have already focused on investigating what factors influence consumers to adopt to social commerce, the findings of these studies are scattered across the literature base, sometimes not transparent, and not straightforwardly comparable. To synthesize these findings, we conduct a systematic review of the empirical literature on the consumers' adoption of social commerce. In particular, we identify and classify conceptually similar factors and outcome variables (i.e., behavioral intentions and/or behaviors). Moreover, we apply a votecounting technique and a sign test to aggregate the reported effects between the factors and outcome variables. After analyzing 61 academic publications, we contribute a structured and comprehensive list of factors and their potential effects on various adoption-related outcome variables. Our results reveal that for some factors, such as trust, usefulness, or social influence, the effects point in a clear direction, while for several other factors, such as enjoyment, risk, or social presence, the effects are yet not clear and require further investigations.

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Section: Findings On the Factors And Their Effectsmentioning

confidence: 99%

Section: Findings On the Factors And Their Effectsmentioning

confidence: 99%

On the Factors Influencing Consumers’ Adoption of Social Commerce – A Review of the Empirical Literature

Friedrich

2016

PAJAIS

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“…Afrasiabi Rad & Benyoucef (2011) proposed that social commerce is developed from "one-to-one interaction" e-commerce, with more social attributes and social interaction. Compared with traditional e-commerce, social commerce pays more attention to network, collaboration, information sharing and other elements, followed by sales (Gatautis & Medziausiene, 2014). made a comparative analysis of the development of social commerce from four dimensions of interpersonal relationship, management, technology and information.…”

Section: The Difference Between Social Commerce and Traditional E-commentioning

confidence: 99%

A Review of Social Commerce Research

Wang¹,

Xie²

2020

AJIBM

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With the development of social networks, social commerce has become a key development model in the field of e-commerce in the future. By sorting out a large amount of relevant literature on social commerce, this paper first reviews the development of the concept of social commerce. Secondly, it analyzes the classification of social commerce and its differences from traditional e-commerce. Finally, a systematic analysis of existing research on consumer behavior (acceptance, purchase, information sharing) of social commerce. This article aims to sort out the current research results, summarize the research characteristics in this field, and point out future research areas and directions worthy of attention.

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“…The usual practice is to refer to empirical formulas to calculate the estimated value of the hidden layer neurons. l n m a = + + (9) l represents the number of neurons in the hidden layer, m and n, respectively, stand for the number of neurons in the output layer and the input layer, and a is an arbitrary constant ranging from 0 to 10.…”

Section: Design Bp Neural Network Structurementioning

confidence: 99%

A Trust Evaluation Model for Social Commerce Based on BP Neural Network

Chen¹,

Wang²

2016

JDAIP

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Recent years we have witnessed the rapid growth of social commerce in China, but many users are not willing to trust and use social commerce. So improving consumers' trust and purchase intention has become a crucial factor in the success of social commerce. Business factors, environment factors and social factors including twelve secondary indexes build up a social commerce trust evaluation model. Questionnaires are handed out to collect twelve secondary indexes scores as input of BP neural network and composite score of trust as output. Model simulation shows that both training samples and test samples have low level of average error and standard deviation, which certify that the model has good stability and it is a good method for evaluating social commerce trust.

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Factors Affecting Social Commerce Acceptance in Lithuania

Cited by 53 publications

References 18 publications

On the Factors Influencing Consumers’ Adoption of Social Commerce – A Review of the Empirical Literature

On the Factors Influencing Consumers’ Adoption of Social Commerce – A Review of the Empirical Literature

A Review of Social Commerce Research

A Trust Evaluation Model for Social Commerce Based on BP Neural Network

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