Trust In Social Commerce Research Articles

Establishing Consumer Trust in Social Commerce: Cognitive and Affective Appraisal

ABSTRACT Consumers continue to rely on social commerce for shopping purposes; however, one challenge for businesses in effectively implementing social commerce is the lack of consumer trust. Thus, the goal of this study is to investigate the mechanisms through which social commerce companies can successfully build consumer trust and increase business. From the socio-technical perspective, we identify social commerce usability and sociability as the two technological and social functions, respectively, of social commerce. We investigate the impacts of social commerce usability and sociability on consumers’ cognitive and affective (emotional) appraisals, which in turn affect their trust and social commerce use. The empirical results indicate that social commerce usability and sociability are positively related to cognitive and affective appraisal, both of which positively affect customer trust in social commerce. The results also demonstrate the positive impacts of consumer trust on social commerce use. Our study advances the social commerce literature.

Will social media celebrities drive me crazy? Exploring the effects of celebrity endorsement on impulsive buying behavior in social commerce

AbstractThis study evaluates the influence of social media celebrity endorsements on consumers' impulsive buying behavior in social commerce by extending the signaling theory and commitment‐trust theory. A self‐managed online questionnaire is designed to collect the data from 295 valid respondents and analyze it using a multi‐analytical hybrid structural equation modeling‐artificial neural network (ANN). The results reveal that relational switching alternatives and relationship benefits directly contribute to relationship commitment to social media celebrity, whereas shared value and parasocial interaction positively lead to social commerce trust; both relationship commitment and social commerce trust induce consumers' impulsive buying behavior in social commerce. From a theoretical perspective, this study enriches the components of signaling theory and commitment‐trust theory, expanding their applicability and transferability in social commerce. Moreover, this study consolidates the theoretical integration, indicating that signaling theory can be considered as an antecedent of commitment‐trust theory for triggering consumers' impulsive buying. Methodologically, adopting second‐order constructs benefits, this study captures the multidimensionality and complexity of social commerce trust and impulsive buying from the partial least squares‐ANN perspectives. In practice, this research provides valuable insights into how to better invite celebrity endorsements and build long‐term relationships with customers, as well as offers insights into countries where social commerce is lacking today. That being said, this study is constrained by its cross‐sectional research design, conducted in Malaysia. Future research endeavors should consider launching longitudinal, multicountry studies to broaden the applicability of the findings.

Swipe to Sustain: Exploring Consumer Behaviors in Organic Food Purchasing via Instagram Social Commerce

Promoting organic foods production and consumption contributes to accomplishing the United Nations’ sustainable development goals. Social commerce provides a promising opportunity to develop the organic food industry. However, there is limited knowledge regarding customer behaviors in relation to purchasing organic foods via social commerce platforms. Therefore, this study expanded upon the unified theory of acceptance and use of technology (UTAUT-2) to develop a comprehensive model that explains how customers’ social commerce trust and behavioral intentions to purchase organic foods using Instagram social commerce affect their purchasing behaviors. The research model was analyzed by employing partial least squares structural equation modeling (PLS-SEM) for the data collected from a quantitative survey of 410 customers who used Instagram to purchase organic foods in Iran. The results revealed that Instagram social commerce-facilitated purchasing conditions, hedonic motivations, social influence, ratings and reviews, and influencers’ endorsements positively influenced customers’ purchase intentions. Moreover, Instagram’s recommendations and referrals, influencers’ endorsements, as well as social influence boost customers’ trust in the social commerce platform. Eventually, it was determined that influencers’ endorsements, social commerce trust, and purchase intention determine a customer’s organic foods purchasing behaviors. This research provides valuable insights for organic food marketers to optimize their social commerce strategies.

Trust in social commerce: approaches to research and study vectors

The development of the e-commerce market opens up new opportunities for the formation of a system of relationships between sellers and buyers. Social commerce is considered the fastest growing area of e-commerce in the world today. The article examines the basics of the social commerce functioning and notes the special role of the trust factor in the functioning of social commerce. Differences in approaches to the study of the trust factor by modern scientists have been recorded. The materials in the article may be useful in preparing students in the areas of Economics, Management, and Project Management.

Honest Information Sharing in Social Commerce Based on Ethical Perceptions

ABSTRACT Consumers are increasingly relying on consumer-generated information when making purchase decisions; therefore, for consumers to make informed and accurate decisions, the honesty of consumer-generated information is essential. This study aims to provide an understanding about consumers’ honest information sharing in social commerce. Drawing on the dual model of environmental perception, we developed a model of honest information sharing by examining consumers’ perceptions regarding Facebook’s ethics, their trust in social commerce, and social commerce ethicality. Using a survey with 969 participants, our results strongly suggest that the hypotheses were supported. Consumers’ perceptions regarding Facebook’s ethics are positively associated with their trust in social commerce and perceived social commerce ethicality, both of which positively affect honest information sharing. Our study advances both the information sharing and social commerce literature. Practically, our study delivers insights for businesses into how to use social commerce as a strategic tool for supporting consumers’ honest information sharing.

Analysis of Social Support, Customer Review Quality, Social Commerce Trust on E-Commerce Satisfaction Study Tokopedia in Indonesia

This study aims to determine how social support, customer review quality, social commerce trust, and e-commerce satisfaction are at Tokopedia Indonesia. The authors choose Tokopedia because Tokopedia is an e-commerce from Indonesia and is influential not only in Indonesia but in Southeast Asia. Tokopedia also supports Micro, Small, and Medium Enterprises and individuals to develop their businesses by marketing their products online with the Government and other parties. The method used for this research is quantitative. It was then analyzed using the PLS technique, factor analysis, and hypothesis testing. The unit of analysis in this study is the consumer from Tokopedia. The data support hypothesis H1 that social support has a positive effect on social commerce trust, H2 supports the hypothesis that customer review quality has a positive influence on social commerce trust, as well as H3 supports the idea that social commerce trust has a positive effect on e-commerce satisfaction.

Explore Moderated Mediation of Trust in Social Commerce on Links Between a User’s Perceived Past Negative Experiences and Social Commerce Engagement

Due to the impact of the pandemic (COVID-19) crisis and the inflation threat, not only do companies change their production models, but also their operating modes. The purchase mode of consumers, moreover, are changed. These changes make social commerce (SC) more popular. However, there exist problems in SC. Therefore, not only is the purpose of this study to examine the role of a user’s perceived past negative experience (PPNE) in social commerce (SC) and the impact of trust in SC on a community user’s social commerce engagement (SCE), but is also to explore the moderating effects of perceived information credibility (PIC) on the relationship between a user’s PPNE and trust in SC. 349 valid samples were collected from the target population in Taiwan and analyzed data by AMOS 22 and SPSS PROCESS to examine a conceptual model and three hypotheses. Of the three hypotheses, all hypotheses were supported. The findings not only confirmed the psychological perception and effects of a user’s PPNE on trust in SC and the impact of trust in SC on user’s SCE, but also identified PIC as the moderating role in a virtual user’s PPNE – trust in SC chain. Besides the need for empirical confirmation of the hypotheses given, finally, there are several practical implications for social marketers and future research directions for scholars.

The Antecedents of Instagram Store Purchase Intention: Exploring the Role of Trust in Social Commerce

Social media platforms are now serving the dual purpose of social interaction as well as commercial transactions. It is an extension of e-commerce on social media, leveraging social support for shopping purposes. This study has taken selected community-related factors and vendors-related factors to investigate their impact on purchase intention from Instagram store. Acknowledging that social commerce possesses a different environment than that of e-commerce, we have also tested the mediating role of trust in determining consumer purchase intention from an Instagram store. The present study used the Stimulus–Organism–Response model along with trust transference theory and psychological reactance theory to propose a theoretical framework to understand purchase intention with regard to the Instagram store. This study has tested the impact of physical shopping constraint on purchase intention which had previously not been tested empirically with regard to social commerce. Taking empirical data from 304 Instagram users, the study revealed community factors to have a more significant impact than vendors attributes. The findings of the study advance our understanding of how purchase intention is formed on Instagram store and highlight the importance of trust in this mechanism.

Mediating Role of Social Commerce Trust in Behavioral Intention and Use

ABSTRACT While the importance of s-commerce is implicitly recognized, inconsistencies in extant empirical research pose significant challenges. Based on perspectives from trust, social presence, and socio-technical theories, this study develops an integrated model of the factors that influence intention and use behavior, with particular attention to the role of trust in s-commerce. The model is tested using meta-analytic structural equation modeling techniques on 201 observations from 83 s-commerce studies. Implications for research and practice are discussed.

Examining E-Commerce Satisfaction and Sales Growth Considering the Role of Trust in Social Commerce

In this study, e-commerce satisfaction and sales growth by considering the role of trust in social commerce are examined. In a trust-based environment, tools such as coercion to secure trades lose their effectiveness. Instead, people are willing to pay back and believe in honesty. Trust fosters market work, increases the willingness of individuals to interact and collaborate with groups, and provides a thriving network of voluntary gatherings. Trust, on the other hand, affects a person's satisfaction, purchase intention, and buying behavior. This study is conducted to examine e-commerce satisfaction and sales growth by considering the role of trust in social commerce. Therefore, a model is proposed to achieve the main goal using structural equation modeling (SEM). The hypotheses are then tested using Amos and 22spss software. In the inferential statistics section, the normal distribution of the variables is first examined using the Smirnov-Kolmogorov test. Since the significance level of all variables is higher than 0.05, it can be claimed that all variables are normally distributed. In the factor analysis section, the sample adequacy is examined using KMO and Bartlett's test. The hypotheses are then tested using Amos software and regression in SPSS software.

Shaping path of trust: the role of information credibility, social support, information sharing and perceived privacy risk in social commerce

PurposeCurrently, the Covid-19 pandemic is changing how consumers shop, encouraging deeper levels and increased reliance on e-commerce systems and social media such as online communities. The online interaction of consumers is more important and brings many uncertainties, which impact the original commerce environment. This study aim to investigate the ethical consideration of information credibility and perceived privacy risk from a psychology perspective in marketing, this study draws on social support theory from social psychology to develop a research model to investigate the role of information credibility and perceived privacy risk on social commerce websites.Design/methodology/approachThis study investigated social commerce websites and communities. The research data of this study was collected through a questionnaire from consumers on three famous social commerce platforms. Using PLS-SEM to perform data analysis, this study research the importance of information credibility, perceived privacy risk and trust on social commerce websites.FindingsThe findings discuss individuals' reaction to privacy issues and to understand the motives to disclose or reveal personal information within a marketing or consumption context. The research also explores the theoretical implications by integrating theories from information systems and social psychology to investigate ethical issues in social commerce.Originality/valueCovid-19 makes peer-to-peer communication in online communities is developing collaborative consumption, and information produced in these communities can influence the decisions of consumers. Covid-19 has exacerbated such a change in social commerce environment. Therefore, information credibility plays an important role in developing online communities. It is important to look at the psychological antecedents that drive consumers' willingness to share their personal information when using online communities. The author has clarified which aspects of trust in social commerce should be strategized, including information trustworthiness, perceived privacy risks, social support and information sharing. These are the details that companies should pay more attention to when operating social commerce. Only by paying more attention to these details and giving consumers a positive feeling can consumers' trust be maintained or enhanced, ultimately leading to a successful trust economy.

Uncovering the antecedents of trust in social commerce: an application of the non-linear artificial neural network approach

PurposeThe internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a challenge that must be addressed. Hence, this study aims to examine the antecedents of trust in mobile social commerce by applying linear and non-linear relationships based on partial least squares structural equation modeling and artificial neural network model.Design/methodology/approachThis study applied a non-linear artificial neural network approach to provide a further understanding of the determinants of trust in mobile social commerce based on a non-linear and non-compensatory model. Besides, a questionnaire was distributed to 340 social commerce customers in Malaysia.FindingsThe conceptual framework for investigating trust in mobile social commerce has various advantages and contributions to predicting consumer behavior. The results of the study showed there is a positive and significant relationship between social support, presence and unified theory of acceptance and use of technology2 (UTAUT2). In addition, UTAUT2 has fully mediated the relationship between social support, presence and trust in social commerce. Finally, the results concluded the relationship between UTAUT2 and trust in social commerce would be stronger when the diffusion of innovation and innovation resistance is high and low, respectively.Research limitations/implicationsThe current study provides a novel perspective on how customers can trust social m-commerce to provide real solutions to managers of encouraging e-marketing among consumers.Practical implicationsThis paper shows how businesses can develop trust in social m-commerce in Malaysian markets. The findings of this study probably could be extended to other businesses in Asia or other countries. Because trust in social e-commerce has a dynamic role in consumer behavior and intention to purchase.Originality/valueThis study provided a new perspective on mobile social commerce and paid more attention to an investigation of such emerging commerce. The originality of this study is embodied by investigating an integrated model that included different theories that presented new directions of trust in mobile social commerce through social and behavioral determinants.

The Trusting Beliefs of Users and the Intention to Continue Making Purchases via Social Commerce

Introduction/Main Objectives: This study aims to examine the influence of a user’s trusting beliefs on the intention to continue making purchases via social commerce. Indonesia is ranked 4th in the world for the most active online users of social media. Thus, it is necessary to investigate the influence of those variables. Background Problems: Social networks contribute to online trading by providing platforms for social commerce. The author chose the trusting beliefs concept and linked it to online users’ trust in social commerce. Novelty: Trusting beliefs variables are fundamental in shaping online users’ behaviors, but no prior research has investigated the effect of trusting beliefs on the intention to make purchases via social commerce. This study presents new research that provides a comprehensive model related to social commerce. Research Methods: This research uses purposive sampling of people who are required to have social media accounts and who have made purchases via social commerce at least once with data taken from surveys. The research uses Structural Equation Modelling (SEM). Finding/Results: This study proves that all trusting beliefs variables are supported and significant, but there is one hypothesis that is not supported (H4). Empirically, this indicates that active users are not necessarily engaging in online shopping using their social media. Conclusion: This study provides insights into the potential role of trusting beliefs driving continuing purchases in the context of social commerce research. We suggest that the sellers need to give customers-to-be more frequent and wider product reviews information so they can get results in terms of stronger product image and motivate them to make purchases via social commerce.

Exploring Trust Formation and Antecedents in Social Commerce.

With the rapid increase in social media users and netizens globally, the proclivity for online shopping using social commerce (SC) platforms cannot be ignored. Trust has been recognised as a constant challenge in the context of social commerce due to the lack of face-to-face interaction. Therefore, there is a dire need to enhance the trust of consumers in social commerce platforms. However, the research in the formation of trust in social commerce and antecedents remains limited. In addition, the existing SC research failed to include its multidimensional view to investigate user behaviour. This study fills this gap and extends existing knowledge by developing a model exploring the antecedents of trust in social commerce. Drawing upon the social-technical theory and trust lens, this study attempts to identify the role of (i) structural assurance (SA) and SC platforms as an institution-based trust, (ii) trust in sellers and trust in SC community as trusting beliefs, and (iii) trust in online payment as a cognitive trust on trust and intention of the social commerce. This research employs a dataset (n = 406) collected using an online survey; the research subjects were recruited from Australia, the United States, and the United Kingdom. This study uses the partial least squares structural equation modeling (PLS-SEM) approach to analyse the data and to confirm the hypothesis proposed in the research model. The empirical findings show that trust in social commerce influences behavioural intention. In addition, trust in the SC platform, the SC community, and online payment influence the trust in SC. Likewise, SA and trust in the SC platform have a significant relationship with trust in sellers, the SC community, and online payment. Finally, this study discusses the theoretical contributions and practical insights to several limitations and suggests directions for future research.

Factors influencing trust in social commerce: the case of Qatar

Factors influencing trust in social commerce: the case of Qatar

Factors influencing trust in social commerce: the case of Qatar

Factors influencing trust in social commerce: the case of Qatar

Comparison of two methods on vector space model for trust in social commerce

The study of dealing with searching information in documents within web pages is Information retrieval (IR). The user needs to describe information with comments or reviews that consists of a number of words. Discovering weight of an inquiry term is helpful to decide the significance of a question. Estimation of term significance is a basic piece of most information retrieval approaches and it is commonly chosen through term frequency-inverse document frequency (TF-IDF). Also, improved TF-IDF method used to retrieve information in web documents. This paper presents comparison of TF-IDF method and improved TF-IDF method for information retrieval. Cosine similarity method calculated on both methods. The results of cosine similarity method on both methods compared on the desired threshold value. The relevance documents of TF-IDF method are more extracted than improved TF-IDF method.

Social Networking Services and Social Trust in Social Commerce

This study researches the mediating consequence of social trust (identification-based trust and information-based trust) on the relationship between social networking services (SNS) use and social commerce intention. The study also explores whether and how gender differences impact the use of SNS on endogenous constructs. The proposed research model is empirically examined using a sample of 170 consumers who have had a prior online shopping experience. The statistical analysis employs partial least squares structural equation modelling (PLS-SEM) methods such as PLS algorithm, model assessments, PLS predict, PLS goodness-of-fit, invariance assessment and multi-group analysis, and importance-performance map analysis. The study provides empirical insights into the effects of SNS on social trust towards s-commerce intention. Also, men and woman consumers are found to exhibit different emphases in using SNS to trust the s-commerce.

SOSYAL DESTEK, SOSYAL TİCARET GÜVENİ VE SATIN ALMA NİYETİ ARASINDAKİ İLİŞKİNİN İNCELENMESİ ÜZERİNE BİR ARAŞTIRMA

In this study, it was aimed to investigate the existence and direction of the relationship between social support, socialcommerce trust and purchase intention. For this purpose, a hypothesis was developed by creating a conceptual frameworkbased on the literature. 293 samples were obtained with the survey method to examine the relationship between thevariables mentioned above. In the analysis of this data, structural equality model was applied with the method ofpartial least squares. WarpPLS program was used while making this analysis. Firstly, measurement model analysis wasmade and after providing the reference values, the structural model was tested. According to the findings; It is understoodthat there is a positive and significant relationship between social support and social media trust and social commerceconsumers trust. On the other hand, a positive and meaningful relationship has emerged between the trust of social tradeconsumers and future purchase intention and impulsive purchase intention. However, while there was a positive andsignificant relationship between social media trust and future purchasing intent, no positive and significant relationship wasfound between social media trust and impulsive purchase intent. According to these findings, various suggestions were madein the conclusion part of the research.

How social presence drives commitment and loyalty with online brand communities? the role of social commerce trust

Increasing interest in social commerce has been accompanied by concerns about creating high-quality customer relationships. Brands are particularly interested in how they may foster the creation of commitment and loyalty regarding their online social commerce communities. The present study contributes to this question by examining the relationship between social presence and customer relationship quality by means of customer commitment and loyalty. More specifically, this study clarifies the role of social commerce trust in this relationship. Based on 189 questionnaires from social commerce users, the direct relationships between social presence and commitment as well as loyalty are not supported, in contrast to prior findings. The results show that social commerce trust fully mediates the relationship between social presence and commitment as well as loyalty in social commerce online brand communities.