Does privacy assurance on social commerce sites matter to millennials?

Purchasing in the digital age: A meta-analytical perspective on trust, risk, security, and e-WOM in e-commerce

This comprehensive meta-analysis investigates the significant factors influencing consumer decision-making in e-commerce. Predominantly focusing on the parameters of trust, perceived risk, perceived security, and electronic word-of-mouth (e-WOM), this study provides insightful revelations on their integral roles in shaping e-commerce purchasing decisions. The findings demonstrate that trust, perceived risk, perceived security, and e-WOM significantly influence consumers' e-commerce purchasing decisions. Perceived Risk plays a substantial moderating role in the relationship between Trust and e-commerce purchasing decisions, amplifying the importance of managing and minimizing risk in online transactions to cultivate consumer trust. Contrastingly, the roles of Perceived Security and e-WOM do not hold the same moderating effect on the trust-purchasing decision nexus, underscoring the direct yet unmoderated influence these factors have on e-commerce purchasing behaviors. Furthermore, The research reveals no significant size effect difference among respondents from high-income and low-income countries or between general internet users and online shoppers concerning the impact of trust on e-commerce purchasing decisions. This intriguing finding suggests the universal importance of trust in the digital purchasing landscape, irrespective of socio-economic status or the degree of e-commerce engagement. This study thus sheds new light on the complexities of e-commerce decision-making processes. It offers valuable insights for businesses aiming to enhance consumer trust and engagement in the expanding digital marketplace.

Does social media usage contribute to cross-border social commerce? An empirical evidence from SEM and fsQCA analysis

Drawing from the S-O-R perspective, this paper proposes a theoretical model explicating the mechanism whereby social media usage functions on customers' engagement in cross-cultural social commerce by employing a mixed-method approach including SEM and fsQCA analysis technique. Analysis of the data collected from 135 countries' 2058 international students indicates that social media usage, either for information or socializing purpose, exerts positive effects on international customers' engagement in social commerce through the conduit of cultural identity change, and social support positively moderates the relationships between two dimensions of social media usage and cultural identity change. The analysis of fsQCA further augmented the robust results reached from SEM and identified four types of configurations that trigger customers' engagement in cross-border social commerce. Research implications and limitations are also discussed.

The relationship between 5G technology affordances, consumption values, trust and intentions: An exploration using the TCV and S-O-R paradigm

5G mobile communication technology is anticipated to merge with many other sectors, spurring innovation and creating substantial ripple effects. Despite the significance of this advancement, current research provides limited knowledge of users' behavioral reactions to the affordances, values, and trust generated from 5G technology. To investigate this relationship, this study used the Stimulus-response theory and the consumption values theory. The empirical data was gathered from 373 consumers in China using a survey method. To validate the model's suggested relationships, the author utilized the partial least squares-structural equation modelling (PLS-SEM) technique. The finding designates that the affordances and purchase intention relationship was mediated by consumption values and trust. Given the significance of 5G technology and its potential, this study investigates what drives and deters consumers from obtaining 5G technology. Original findings insights on the role of affordances in developing marketing strategies and increasing consumer intentions to purchase 5G technology products.

When WhatsApp changed its privacy policy: explaining WhatsApp discontinuation using an enablers-inhibitors' perspective

Purpose

The purpose of this paper is to understand the factors that enable and inhibit WhatsApp users' discontinuance intention (DI) following the change in WhatsApp's privacy policy.

Design/methodology/approach

Using the enabler-inhibitor model as a framework, a research model consisting of discontinuation enabler distrust (DT) and the DT's antecedents [(negative electronic word of mouth (NEWOM), negative offline word of mouth (NOWOM) and privacy invasion (PI)], discontinuation inhibitor inertia (INR) and INR's antecedents (affective commitment, switching cost and use habit) and moderator structural assurance was proposed and tested with data from 624 WhatsApp users using partial least square structure equational modeling (PLS-SEM).

Findings

The results show that DT created due to NEWOM and a sense of PI significantly impact DI. However, INR has no significant impact on DI. Structural assurance significantly moderates the relationship between DT and DI.

Originality/value

The paper collected data when many WhatsApp users switched to other platforms due to the change in WhatsApp's terms of service. The timing of data collection allowed for collecting the real impact of the sense of PI compared to other studies where the effect is hypothetically induced. Further, the authors acknowledge social media providers' efforts to address privacy criticism and regain users’ trust, an area that has received little attention in prior literature.

Social Commerce Adoption: A Consumer’s Perspective to an Emergent Frontier

The mass diffusion of social media has enabled new commercial models in retailing. It heralded the emergence of social commerce, with consumers and retailers interacting and transacting through a multitude of social media. While the organizational benefits of such interactions have attracted much attention, little is known about the consumers’ motives. In addressing this limitation, a theoretical model was developed, extending the UTAUT2 framework. The model was then operationalized, and quantitative data collected from 108 Indonesian consumers engaged in social commerce and analyzed using the partial least squares method. The findings point to new dynamics influencing consumer behavior, driven by lifestyle, price value, facilitating conditions, and pragmatisms. Interestingly, social influence was significant yet negative indicating that consumers may be developing a distinct online persona, which is more independent and assertive to normative pressures. The results hold important theoretical and practical implications for the rapidly emerging field of social commerce.

The role of trust and privacy concerns in using social media for e-retail services: The moderating role of COVID-19

The COVID-19 pandemic has disrupted the customers habits of purchasing as well as shopping behaviours. This study seeks to develop an integrated model of the critical role of trust and privacy concerns in influencing consumers purchase behaviour through social media. It also explored the moderating role of COVID-19 on these relationships. Quantitative data were collected using survey strategy through questionnaires to address different levels of the study. Our proposed model was tested with 1,200 consumers, 600 prior to COVID-19 and 600 during COVID-19. Partial Least Squares Structural Equation Modelling was conducted to assess the hypotheses. The findings revealed that purchase intention depends on trust and privacy concerns. Information quality, security concerns, ease of use, privacy/security assurance seal, and disposition to third party certification are the main drivers of trust and privacy concerns. Furthermore, our proposed model during COVID-19 period has higher explanator power (R2 = 0.741) than before COVID-19 period (R2 = 0.603 and consumers buying behaviour has been increased during COVID-19. The results offer important implications for retailers and are likely to stimulate further research in the area of purchase behaviour through social media.

Onsite/offsite social commerce adoption for SMEs using fuzzy linguistic decision making in complex framework

There has been a growing social commerce adoption trend among SMEs for few years. However, it is often a challenging strategic task for SMEs to choose the right type of social commerce. SMEs usually have a limited budget, technical skills and resources and want to maximise productivity with those limited resources. There is much literature that discusses the social commerce adoption strategy for SMEs. However, there is no work to enable SMEs to choose social commerce-onsite/offsite or hybrid strategy. Moreover, very few studies allow the decision-makers to handle uncertain, complex nonlinear relationships of social commerce adoption factors. The paper proposes a fuzzy linguistic multi-criteria group decision-making in a complex framework for onsite, offsite social commerce adoption to address the problem. The proposed approach uses a novel hybrid approach by combining FAHP, FOWA and selection criteria of the technological-organisation-environment (TOE) framework. Unlike previous methods, the proposed approach uses the decision maker's attitudinal characteristics and recommends intelligently using the OWA operator. The approach further demonstrates the decision behaviour of the decision-makers with Fuzzy Minimum (FMin), Fuzzy Maximum (FMax), Laplace criteria, Hurwicz criteria, FWA, FOWA and FPOWA. The framework enables the SMEs to choose the right type of social commerce considering TOE factors that help them build a stronger relationship with current and potential customers. The approach's applicability is demonstrated using a case study of three SMEs seeking to adopt a social commerce type. The analysis results indicate the proposed approach's effectiveness in handling uncertain, complex nonlinear decisions in social commerce adoption.

Determining Factors Affecting the Users' Participation of Online Health Communities: An Integrated Framework of Social Capital and Social Support

As the national awareness of health keeps deepening, online health communities (OHCs) have achieved rapid development. Users' participation is critically important to the sustainable development of OHCs. Nevertheless, users usually lack the motive for participation. Based on the social capital theory, this research examines factors influencing users' participation in OHCs. The purpose of this research is to find out decisive factors that influence users' participation in OHCs, enrich the understanding of users' participation in OHCs, and help OHCs address the issue of sustainable development. The research model was empirically tested using 1277 responses from an online survey conducted in China. Data was analyzed using the structural equation modeling (SEM). We found informational support and emotional support to have significant direct effects over the structural capital, relational capital and cognitive capital of OHCs. Meanwhile, it is observed that relational capital and cognitive capital degree have a significant influence on knowledge acquisition and knowledge contribution of OHCs. For researchers this study provides a basis for further refinement of individual models of users' participation. For practitioners, understanding the social capital is crucial to users' knowledge acquisition and knowledge contribution that achieve high participation in OHCs.

Effects of Social Media Usage on Consumers' Purchase Intention in Social Commerce: A Cross-Cultural Empirical Analysis

Social commerce has produced enormous economic benefits as well as challenges for organizations, individuals, and industries. However, social media usage does not necessarily generate users' intention to purchase on social commerce websites. How social media usage influences users' purchase intention on social commerce websites still deserves more scholarly attention and this seems particularly important when social commerce transcends borders and countries. Taking an interdisciplinary perspective, the current study adopted a survey research method and identified the roles of social media usage in arousing users' purchase intention on social commerce websites in a culturally diversified environment. The data was collected from 2,058 international students coming from 135 countries and was analyzed using MPLUS based structural equation modeling. The research unveils the pathway whereby social media usage serves to generate users' purchase intention on social commerce websites. Importantly, users' cultural intelligence has been found to play a significant role mediating the effects of social media usage on users' intention. Further, cultural distance was found to attenuate the effects of social media usage on cultural intelligence. Based on the research findings, the study suggests that social commerce practitioners should be fully aware of the enabling roles of social media and cultural intelligence as well as the deterring role of cultural distance when arousing customers' purchasing intention in cross-cultural business operations. Any measures facilitated by social media usage to improve international consumers' cultural intelligence and mitigate the negative effects of cultural distance are supposed to be effective to enhance their purchasing intention. Accordingly, the study confirms the mutually melt and integrative relationships between information technology advancement and business prosperity in cross-cultural environment, which eventually contribute to sustainable development of society.

Trust and Consumers’ Purchase Intention in a Social Commerce Platform: A Meta-Analytic Approach

E-commerce and social media integration are becoming increasingly popular throughout the world, particularly with the emergence of Web 2.0 technology. In a social commerce (SC) environment, trust also plays a vital role in consumers’ purchase intentions. This research aims to achieve consistent findings regarding the concise effect of trust on consumers’ purchase intention and the moderating effect of SC constructs in social commerce platforms. A meta-analysis, including 20 effect sizes from 19 studies, investigated the association between trust and consumers’ purchase intention. The outcomes demonstrate that trust positively influences consumers’ purchase intentions. Meanwhile, moderation analysis points out that trust in sellers has a larger significant effect than other trust objects. Meanwhile, consumers in forums and communities can gain more trust, affecting their purchase intentions. In terms of website types, trust has a similar influence on purchase intention.

Determinants of Social Commerce Usage and Online Impulse Purchase: Implications for Business and Digital Revolution

Since their introduction in the early 2000s, the use of social networking websites has exploded. Many businesses are seeing increased revenue due to their social commerce strategy. Despite the popularity of social commerce websites, some consumers are still hesitate to use them. This study aims to evaluate the factors that influence the adoption of social commerce. A sample of 721 Chinese We Chat users took part in the research. The findings reveal that social capital mediates the positive effect of social commerce adoption and perceived ease of use (PERU) on techno-stress and online impulse purchasing. Likewise, information overloading mediates the positive effect of social commerce adoption and PERU on techno-stress and online impulse purchasing. The findings have implications for both practice and research in understanding social commerce adoption in emerging economies.

How digital marketing evolved over time: A bibliometric analysis on scopus database

Nowadays, a large number of customers are spending their time on social and digital media for a variety of purposes ranging from information searching to the final purchase of products. Responding to this shift, marketers are spending a significant part of the advertising budget on digital marketing. Therefore, the purpose of this study is to review articles on digital marketing to identify top themes, determine the current status of research in digital marketing and indicate how influential works have shaped it. This research has reviewed 925 papers published between 2000 and 2019 in Scopus by applying bibliometrics analysis. These results show that on average 2.18 authors have contributed to every single paper on digital marketing and the collaboration index is 2.71. The top contributing countries in the digital marketing field are USA, India and UK. The study also identifies three dominant clusters in digital marketing research, e.g., 1) strategic planning with digital marketing 2) mobile marketing with apps development and 3) dealing with demographic profiles of customers.

The Mediated Effect of Social Presence on Social Commerce WOM Behavior

Based on expectation disconfirmation theory, this study analyzes how attitudes (satisfaction and loyalty) influence interaction intention (sWOM) and, consequently, active and passive sWOM behavior. It does so by assessing the mediating role of social presence on sWOM intention and behavior. The empirical results provide several contributions. First, knowing how to increase active sWOM contributes to bridging the gap regarding how to enhance interactions between users. Second, fostering active sWOM on social commerce websites will provide companies with more positive user-generated content, since this active sWOM comes from satisfied and loyal users, and it is assumed that they will rate the product positively and report a good experience. Third, companies can benefit more from users if users interact with other users by sharing their experiences. This study sheds light on how social presence can mediate the relationship between intention and behavior, particularly when it comes to increasing active participation and brand promotion.

Understanding the influence of privacy protection functions on continuance usage of push notification service

Purpose

Push notification service (PNS) is an important approach to distribute personalized information to users timely and is getting more and more popular. However, users' privacy concerns are a major inhibiting factor in their continuance usage of PNS. This study investigates the effect of privacy protection functions provided by PNS sites in enhancing users' perceived fairness on the basis of justice theory to mitigate users' concerns of information privacy. The mechanism underlying such influence on users' continuance usage of PNS comprises privacy concern and privacy-control self-efficacy.

Design/methodology/approach

Four scenario-based surveys are conducted to test the proposed hypotheses. The authors test the research model with a sample of 360 participants by ANOVA and PLS.

Findings

Results show that the proposed privacy protection functions have direct positive effects on users' privacy-control self-efficacy, negative effects on privacy concern and indirectly affect their continuance usage of PNS. Furthermore, the interaction effects between two approaches have different impacts on users' privacy concern and privacy-control self-efficacy.

Originality/value

This study provides some suggestions and guidance for PNS providers to design effective privacy protection technologies.

Social Commerce

The present study performs the bibliometric analysis of the social commerce (s-commerce) literature, highlights the major research themes, and suggests future research directions. The HistCite software has been used for bibliometric analysis on a sample of 660 s-commerce papers obtained from the ISI Web of Science database. This study analyses these papers to present the details about the influential journals, authors, and universities regarding s-commerce research. Following research themes have been identified based on the content analysis as well as citation mapping of the top-cited 53 s-commerce papers: 1) S-commerce – Purchase Intention, 2) S-commerce – Sharing Intention, 3) Social Media – Marketing and Consumer Engagement, 4) S-commerce – User Preferences and Concerns. Subsequently, a multi-dimensional conceptual model has been developed to highlight the coupling and flow between s-commerce growth drivers, practice indicators, and performance metrics. Finally, future research directions have been recommended.

Adoption of electronic commerce by individuals in Bangladesh

With increased use of Internet and information technology platforms, e-commerce has experienced tremendous growth worldwide in the recent years. Although growing steadily in various digital services, Bangladesh has not been able to gain full advantages and benefits of e-commerce due to its poor adoption rate. This study aims at exploring the factors affecting e-commerce adoption in Bangladesh by applying an extended version of Unified Theory of Acceptance and Use of Technology (UTAUT) model which includes perceived risk, perceived cost and personal awareness with perceived usefulness, perceived ease of use, social influence, and facilitating conditions. This study applies a mixed methods research approach by combining qualitative field study and quantitative survey. A PLS based structural equation modeling is employed to a dataset of 253 individuals which are collected by applying a convenient sampling technique. The study results reveals that perceived usefulness, perceived cost, personal awareness and facilitating conditions affect consumer behavioral intention while facilitating conditions as well as behavioral intention have positive influence on actual use of e-commerce. This study also provides several implications that might be useful for the academic proponents, decision makers, and various stakeholders.

Impact of privacy policy content on perceived effectiveness of privacy policy: the role of vulnerability, benevolence and privacy concern

Purpose

This study examines how the different dimensions of a privacy policy separately influence perceived effectiveness of privacy policy, as well as the mediating mechanisms behind these effects (i.e. vulnerability, benevolence). In addition, this study considers privacy concern as a significant moderator in the research model, to examine if the relative influences of privacy policy content are contingent upon levels of users' privacy concern.

Design/methodology/approach

The survey experiment was conducted to empirically validate the model. Specifically, three survey experiments and six scenarios were designed to manipulate high and low levels of the three privacy policy dimensions (i.e. transparency, control and protection). The authors totally distributed 450 copies of the questionnaire, of which 407 were valid.

Findings

This paper found that (1) all the three privacy policy dimensions directly influence perceived effectiveness of privacy policy; (2) all the three privacy policy dimensions indirectly influence perceived effectiveness of privacy policy by enhancing perceived corporate benevolence, whereas control also affects perceived effectiveness of privacy policy by reducing perceived vulnerability; and (3) individuals with high-privacy concern are much more impacted by privacy policy contents than individuals with low-privacy concern.

Practical implications

The findings could provide website managers with guidelines on how to design privacy policy contents by reducing user perceptions of vulnerability and enhancing user perceptions of corporate benevolence. The managers need to focus on customers' perceived vulnerability and corporate benevolence when launching or updating privacy policies. Furthermore, the managers also need to attend to users' privacy concerns, especially for multinational companies or companies with specific consumer groups.

Originality/value

This study extends the current privacy policy literature by articulating the separate influences of the three privacy policy dimensions and their impact mechanisms on perceived effectiveness of privacy policy. It also uncovers privacy concerns as a boundary condition that influence the effects of privacy policy contents on users' privacy perceptions.

Digital Consumers in the Foodservices Market

The dynamic development of e-commerce in the foodservice market has been observed in recent years (especially during the COVID-19 pandemic), both in Poland and in other countries. The purpose of the study was to determine the characteristics of e-foodservice customers, identify their motivations for ordering food online and the nutritional consequences of such actions, as well as recognize the influence of consumers’ s-commerce activity on their foodservice market behavior. The study was carried out using the CAWI method on a sample of 1018 adult Poles. With the use of cluster analysis, three consumer segments were distinguished: frequent e-commerce users (221), moderate users (400), and sporadic users (397). The results indicate that frequent users of e-commerce in the foodservice market are slightly more often young and educated men who work full-time, have a higher than average income, and live in a large or medium city. In their own opinions, frequent users are the most concerned about proper nutrition, but despite such declarations, their nutritional quality is inferior to other groups. Compared to other segments, they are the most socially active and show the greatest commitment to s-commerce activity, which influences their purchasing intentions and behaviors.

Understanding online health community users' information adoption intention: an elaboration likelihood model perspective

Purpose

The purpose of this research is to draw on the elaboration likelihood model (ELM) to examine users' information adoption intention in online health communities (OHC).

Design/methodology/approach

The authors collected 350 valid responses using a survey and conducted the moderated regression analysis to examine the research model.

Findings

The results indicated that users' information adoption intention is influenced by both central cues (argument quality) and peripheral cues (source credibility and emotional support). In addition, self-efficacy moderates the effect of both central cues and peripheral cues on information adoption intention.

Originality/value

Previous research has focused on the effect of individual motivations such as reciprocity and benefits on user behavior, and has seldom disclosed the influencing process of external factors on OHC users' behavioral decision. This research tries to fill the gap by adopting ELM to uncover the mechanism underlying OHC users' information adoption.

Identifying Privacy Related Requirements for the Design of Self-Adaptive Privacy Protections Schemes in Social Networks

Social Networks (SNs) bring new types of privacy risks threats for users; which developers should be aware of when designing respective services. Aiming at safeguarding users’ privacy more effectively within SNs, self-adaptive privacy preserving schemes have been developed, considered the importance of users’ social and technological context and specific privacy criteria that should be satisfied. However, under the current self-adaptive privacy approaches, the examination of users’ social landscape interrelated with their privacy perceptions and practices, is not thoroughly considered, especially as far as users’ social attributes concern. This study, aimed at elaborating this examination in depth, in order as to identify the users’ social characteristics and privacy perceptions that can affect self-adaptive privacy design, as well as to indicate self-adaptive privacy related requirements that should be satisfied for users’ protection in SNs. The study was based on an interdisciplinary research instrument, adopting constructs and metrics from both sociological and privacy literature. The results of the survey lead to a pilot taxonomic analysis for self-adaptive privacy within SNs and to the proposal of specific privacy related requirements that should be considered for this domain. For further establishing of our interdisciplinary approach, a case study scenario was formulated, which underlines the importance of the identified self-adaptive privacy related requirements. In this regard, the study provides further insight for the development of the behavioral models that will enhance the optimal design of self-adaptive privacy preserving schemes in SNs, as well as designers to support the principle of PbD from a technical perspective.

Managing the effectiveness of e-commerce platforms in a pandemic

Given the severe impacts of the Covid-19 pandemic on business activities, this study presents a systematic framework to examine the effect of the perceived effectiveness of e-commerce platforms (PEEP) on consumer's perceived economic benefits in predicting sustainable consumption. This study adopted uses and gratification theory to base the conceptual model while adding a boundary condition of pandemic fear. The primary research method of this study is a quantitative survey and analysis. Using a sample of 617 online consumers with PLS analytical technique, this study finds a positive moderating effect of pandemic fear on the relationships among PEEP, economic benefits, and sustainable consumption. The contribution of this study is its examination of how economic benefit mediates the PEEP and sustainable consumption relationship which is dependable on the levels of pandemic fear. Implications for managers and theory are also discussed.

The effect of information privacy concern on users' social shopping intention

Purpose

The purpose of this research is to examine the effect of information privacy concern on users' social shopping intention.

Design/methodology/approach

Based on the 340 valid responses collected from a survey, structural equation modeling (SEM) was employed to examine the research model.

Findings

The results indicated that while disposition to privacy positively affects privacy concern, both reputation and laws negatively affect privacy concern, which in turn decreases social shopping intention. In addition, trust partially mediates the effect of privacy concern on social shopping intention.

Research limitations/implications

The results imply that social commerce companies need to mitigate users' privacy concern in order to facilitate their shopping behavior.

Originality/value

This research disclosed that privacy concern receives a tripartite influence from users (disposition to privacy), platforms (reputation) and governments (laws). The results help us gain a complete understanding of information privacy concern mitigation in social shopping.

Feature mining and analysis of gray privacy products

Purpose

Excavating valuable outlier information of gray privacy products, the purpose of this study takes the online reviews of women’s underwear as an example, explores the outlier characteristics of online commentary data, and analyzes the online consumer behavior of consumers’ gray privacy products.

Design/methodology/approach

This research adopts the social network analysis method to analyze online reviews. Based on the online reviews collected from women’s underwear flagship store Victoria’s Secret at Tmall, this study performs word segmentation and word frequency analysis. Using the fuzzy query method, the research builds the corresponding co-word matrix and conducts co-occurrence analysis to summarize the factors affecting consumers’ purchase behavior of female underwear.

Findings

Establishing a formal framework of gray privacy products, this paper confirms the commonalities among consumers with respect to their perceptions of gray privacy products, shows that consumers have high privacy concerns about the disclosure or secondary use of personal private information when shopping gray privacy products, and demonstrates the big difference between online reviews of gray privacy products and their consumer descriptions.

Originality/value

The research lays a solid foundation for future research in gray privacy products. The factors identified in this study provide a practical reference for the continuous improvement of gray privacy products and services.

The impact of positive valence and negative valence on social commerce purchase intention

Purpose

New research emphasizes the importance of social communications in e-commerce purchase decision-making processes but there are many technical and social challenges such as multi-faceted trust concerns. How consumers view and value referent’s online testimonials, ratings, rants and raves, and product usage experiences remain an important factor that needs to be better understood. Social commerce as a relatively new stream in e-commerce yet is growing fast and gaining the attention of scholars and practitioners, especially due to recent revenue developments. Consistent with e-commerce websites that do not enable consumer feedback, trust is a challenging matter for consumers to consider when they visit social commerce websites. Researching trust models and influences is increasingly important especially with the proliferation of online word of mouth (WOM) strongly effecting many consumers at many different phases of social commerce purchase decision making and transacting. The paper aims to discuss this issue.

Design/methodology/approach

This study examines the effects and importance of institution-based trust and WOM within a model of consumer behaviour on social commerce websites. This research examines how trust and consumer feedback may affect consumers’ purchase intentions. This study collects data from the little-understood market of urban Iran and develops a research model to examine consumers’ purchase intentions on social commerce websites. A robust data set from urban Iran (n=512) is analyzed using partial least squares regression to analyze the proposed model.

Findings

The results of the analysis show that institution-based trust influences social media communication, leading to elevated purchase intention on social commerce websites. This research adds to the prior literature that espouses on the importance of consumers developing strong beliefs of vendor trust in social commerce platforms.

Originality/value

Explaining how consumer purchase decision making is effected by using institution-based trust and electronic WOM in a little understood Middle Eastern context an important contribution of this research. Suggestions on practical and theoretical developments of this research in the sharing commerce research stream conclude this paper.

Understanding users’ participation in online health communities: A social capital perspective

Due to the intense competition, it is crucial for online health communities to facilitate users’ participation and retain them. Drawing on the social capital theory, this research examined users’ participation in online health communities. The results indicated that social support, which includes informational support and emotional support, has a significant effect on social capital, which in turn affects users’ participation including health knowledge acquisition and contribution. The results imply that online health communities need to create a supportive climate in order to develop social capital and facilitate users’ participation.