The Influence of Consumer Value-Based Factors on Attitude-Behavioral Intention in Social Commerce: The Differences between High- and Low-Technology Experience Groups

2013 ◽  
Vol 30 (1-2) ◽  
pp. 108-125 ◽  
Author(s):  
Sung-Bum Kim ◽  
Kyung-A Sun ◽  
Dae-Young Kim
Keyword(s):  
Behavioral Intention ◽  
Social Commerce ◽  
Consumer Value ◽  
Technology Experience

Marketing mix, customer value, and customer loyalty in social commerce

2018 ◽  
Vol 28 (1) ◽  
pp. 74-104 ◽  
Author(s):  
Ya-Ling Wu ◽  
Eldon Y. Li
Keyword(s):  
Customer Loyalty ◽  
Customer Value ◽  
Structural Equation ◽  
Marketing Mix ◽  
Equation Modeling ◽  
Social Commerce ◽  
Content Type ◽  
Replication Studies ◽  
Consumer Value ◽  
Parsimonious Model

Purpose Based on stimulus-organism-response model, the purpose of this paper is to develop an integrated model to explore the effects of six marketing-mix components (stimuli) on consumer loyalty (response) through consumer value (organism) in social commerce (SC). Design/methodology/approach In order to target online social buyers, a web-based survey was employed. Structural equation modeling with partial least squares (PLS) is used to analyze valid data from 599 consumers who have repurchase experience via Facebook. Findings The results from PLS analysis show that all components of SC marketing mix (SCMM) have significant effects on SC consumer value. Moreover, SC customer value positively influences SC customer loyalty (CL). Research limitations/implications The data for this study are collected from Facebook only and the sample size is limited; thus, replication studies are needed to improve generalizability and data representativeness of the study. Moreover, longitudinal studies are needed to verify the causality among the constructs in the proposed research model. Practical implications SC sellers should implement more effective SCMM strategies to foster SC CL through better SCMM decisions. Social implications The SCMM components represent the collective benefits of social interaction, exemplifying the importance of effective communication and interaction among SC customers. Originality/value This study develops a parsimonious model to explain the over-arching effects of SCMM components on CL in SC mediated by customer value. It confirms that utilitarian, hedonic, and social values can be applied to online SC and that SCMM can be leveraged to achieve these values.

Effects of Interactivity on Consumer Behavioral Intention in Mobile Social Commerce in China

2021 ◽  
Vol 34 (3) ◽  
pp. 21-40
Author(s):  
Pinghao Ye ◽  
Liqiong Liu
Keyword(s):  
Behavioral Intention ◽  
Interpersonal Interaction ◽  
Social Commerce ◽  
Community Based ◽  
Positive Effects ◽  
Theoretical Support ◽  
Information Interaction ◽  
Intensity Information ◽  
Perceived Interactivity ◽  
The Relationship

The authors study the effects of perceived interactivity on consumer behavioral intention according to the characteristics of consumer behavior in mobile social commerce. Results indicate that the intensity of information interaction has significant and positive effects on the depth, breadth, and novelty of consumer recommendations and reviews. The intensity of interpersonal interaction has significant and positive effects on community-based trust and response intensity. Information interaction has significant and positive effects on interpersonal interaction and suggestion adoption. Findings also reveal the relationship between interactivity and consumer behavioral intention in mobile social commerce. The conclusions provide theoretical support for studying how these constructs interact with each other.

An empirical examination of Instagram as an s-commerce channel

2018 ◽  
Vol 15 (2) ◽  
pp. 146-160 ◽  
Author(s):  
Salma Abed
Keyword(s):  
Saudi Arabia ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Social Commerce ◽  
Empirical Examination ◽  
Content Type ◽  
Factors Affecting ◽  
Use Of Technology ◽  
Facilitating Conditions

Purpose The purpose of this paper is to review the literature and empirically examine a theory-based model in the context of social commerce (s-commerce). The study examined the popular photo-sharing platform “Instagram” to determine the value of s-commerce and its acceptance by customers. Design/methodology/approach Using the unified theory of acceptance and use of technology (UTAUT) as the theoretical framework, the researcher examined the proposed research model and related hypotheses. A survey questionnaire of 441 Instagram users in Saudi Arabia was collected and analyzed using structural equation modeling. Findings The results revealed that social influence and trust are the most significant factors affecting behavioral intention. In contrast, the effect of facilitating conditions on behavioral intention was found to be not significant. Originality/value Very limited empirical research has been conducted in the context of s-commerce in the Arab region generally and in Saudi Arabia specifically. The findings of the present study will provide guidance that could be put into action for marketers and professionals in Saudi Arabia.

scholarly journals A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption

2021 ◽  
Author(s):  
Yogesh K Dwivedi ◽  
Elvira Ismagilova ◽  
Prianka Sarker ◽  
Anand Jeyaraj ◽  
Yassine Jadil ◽  
...  
Keyword(s):  
Social Presence ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Modeling ◽  
Social Commerce ◽  
Informational Support ◽  
Positive Effects ◽  
Theoretical Perspectives ◽  
Use Behavior

AbstractSocial commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust, social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the structural model. Our findings show that trust and informational support have positive effects on behavioral intention while trust and emotional support have positive effects on use behavior. Furthermore, our findings highlight that behavioral intention influences use behavior and mediates the effect of trust and informational support on use behavior. The implications for research and practice are discussed in detail.

Cryptocurrencies as Investment Instrument: A Social Commerce and Subscription-Based Service Perspective

2020 ◽  
Vol 3 (2) ◽  
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Quantitative Research ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Social Commerce ◽  
Perceived Trust ◽  
Acceptance Model ◽  
Behavioral Intention To Use ◽  
Service Perspective

This research aims to create a better understanding of cryptocurrency adoption. The research framework is adapted from the Technology Acceptance Model (TAM) with additional constructs: social commerce, hedonic motivations, and utilitarian motivation. A quantitative research method was chosen for this study. A total of 54 respondents are collected using a snowball non-probability sampling method. The results show that Hedonic motivation and utilitarian motivation that represent subscription-based online services prove to have an impact on perceived usefulness. However, perceived usefulness fails to impact behavioral intention to use. Social commerce representing social interaction in the model has proven that it impacts behavioral intention to use with the mediation of perceived trust.

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