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Currently, 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.

This 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.

The 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.

Covid-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.

In this study, the authors examine how organizational-, systems- and interpersonal-level trust may be required for a smooth functioning of the firms in the sharing economy (SE). The research objective is to explore the trust-building mechanisms of Airbnb, a leading SE organization, and its aim to foster generalized trust. An investigation of the Airbnb's promotion of different trust-building mechanisms will allow to evaluate their effectiveness in how they can help overcome scepticism and distrust between the transacting parties. Consequently, the authors can develop a unique theoretical perspective on generalized trust in SE environments and better understand any trust-related barriers preventing SE transactions.

The authors employ a case study approach to investigate the research questions with the aim to fully understand the abstract and complex nature of trust. They focus on Airbnb as the company enjoys a leading market position, being a sharing economy firm. Moreover, the personal nature of accommodation sharing, which is the business of Airbnb, increases users' trust requirements, and so the company must take active steps to promote trust between the transacting parties. The authors adopt thematic analysis to execute the data analysis of the study's findings, which are derived from emergent themes and directed by the research objectives and relevant literature.

The results show that users of Airbnb are concerned about the danger of opportunistic hosts, although they are primarily motivated to use the company's services due to its economic benefits. Nevertheless, the success of Airbnb platform stems from the trust that the company has succeeded in establishing among its users, in particular interpersonal trust. Analysis reveals that generalized trust is fostered at an interpersonal level in the form of peer reviews, at an organizational level in terms of brand familiarity and at a systems level in regards to interface design.

The authors advance the argument that confidence to transact in the social economy stems from a combination of three levels of trust, including organizational-, systems- and interpersonal-level trust. These findings contribute to the body of trust research in information technology and people literature from its unique investigative setting, whilst simultaneously strengthening the primarily speculative research on SE with in-depth empirical evidence.

Given the growing importance and demand for online food purchases, this study explores the new advancements in information and communication technologies (ICTs) by examining the key features of social commerce, trust and product’s attributes in the e-commerce environment. The aim is to investigate possible ICTs-related entrepreneurial opportunities in the food and beverage (F&B) industry.

The study uses a survey to collect data and applies Smart partial least squares to test the model.

The structural equation modelling results illustrated that social commerce constructs significantly impact trust, leading to customer’s purchase intention. Additionally, product’s attributes was found to have a significant relationship with customer’s purchase intention with trust being the most pertinent driver.

This study contributes to the F&B literature by highlighting the role of new forms of technologies in entrepreneurship activities, especially for small and medium-sized enterprises.

This study investigates the relationship between buyers’ psychological antecedent and repurchase intentions in online group buying. Considering and evaluating pre-purchase, the authors measure the buyers’ overall experience of online group buying through their perceived value (PV) and risk. This study examines the influence of PV and perceived risk (PR) on positive electronic word-of-mouth (eWoM) communication and repurchase intention in online group buying.

The authors verify the research model using SPSS and the structural equation modeling-partial least square (SEM-PLS) to analyze 839 convincing respondents. This quantitative research provides insights into online group buying, including the food industry.

The results demonstrate that the buyers’ PV of online group buying enhanced positive eWoM communication and repurchase intention. The willingness of buyers to spread positive eWoM indicates their recognition and satisfaction with a product or brand. Thus, they have the behavioral intention to repurchase in online group buying. The study found that while positive eWoM communication significantly impacts repurchase intention, PR negatively affects PV. The research provides theoretical and practical implications at the end of the study.

This study has some limitations. First, the study only used PV and PR to measure consumers’ considerations and evaluations of the initial stage in the consumer decision journey. Future studies can include more dimensions that may further affect these considerations and assessments to verify the research model. Second, the study only used positive eWoM communication to measure the “enjoy-advocate-bond” of consumption and usage in the post-purchase stage.

The study proposes the sequential relationship in the psychological decision procedure of participating in online group buying and provides valuable managerial implications for managers operating online group buying on third-party platforms. The findings provide good knowledge for the food industry to stay connected with customers and develop their satisfaction.

Innovative firms leverage big data analytics (BDA) benefits in optimising value creation, particularly in business-to-business (B2B) contexts. Examples of this are found in new product success and product innovation performance. However, knowledge of how innovative firms and their corporate customers generate insights from big data, develop new products and gain higher-quality service from intra- and inter organisations' resources is limited. This knowledge manifests in the form of opportunities available in BDA and through the adoption of the co-creation approach to generate value in the form of new product innovation. BDA reflects an excellent means of enhancing a firm's customer agility, but how this is possible remains largely unknown.

In this research, the authors hypothesise that new product success is a function of a firm's customer agility and product innovation performance moderated by environmental turbulences. In turn, the firm's customer agility is enhanced by the effect of big data aggregation and analytical tools. These hypotheses have been confirmed by a survey in an emerging market.

The authors use structural equation modelling to test the authors’ hypotheses. The main contribution of this research is the conceptualisation and test of an integrative framework identifying the links among a firm's customer agility, new product success and BDA capabilities.

The study established that BDA tools – the effective use of data aggregation tools and the effective use of data analysis tools – shape customer agility in achieving new product success. This study contributes to one’s understanding of the relevance of BDA in B2B value creation contexts.

The study findings show that BDA shapes a firm's customer agility in achieving new product success.

This study examines the impact of social media information sharing and usage on consumer beliefs particularly in the credibility of the information provided by e-commerce vendors, and consumer trust formation.

Drawing on trust through social media usage and surface credibility, the authors have proposed a research model to investigate consumers satisfaction on food and beverage (F&B) products. Empirical support for the research model was provided by using structural equation modelling using survey data drawn from Malaysian consumers with an account with Facebook.

Results indicate that consumer participation in social media communities support higher levels of consumer trust and ratings of the surface credibility of information provided by an F&B vendor, and surface credibility also helped to develop consumer trust. Trust in the vendor also exerted a positive influence on consumer satisfaction with F&B product offerings. Results suggest that F&B that provide credible and transparent information regarding their branded products, enjoy increased levels of consumer trust, leading to higher levels of consumer satisfaction with their F&B consumption experience.

The result of this research contributes to social commerce branch of literature and has practical implications for practitioners in the F&B industry as a means to survival strategies to embrace critical and challenging period during an endemic, particularly. As such, this study analyses the relationship between social media usage, surface credibility, trust and satisfaction for developing consumer trust while managing enterprise social media.

Based on the stimulus-organism-response theory, this research constructs the influence of the stimulus factors of the live-streaming shopping environment on consumers' psychological situation. It then produces the research model of impulsive purchase intention.

In this study, the online questionnaire survey method was used to survey users who participated in live-streaming shopping, and a total of 335 valid questionnaires were collected. Then SPSS and SmartPLS were used for data empirical evaluation and hypotheses test.

Research results show that demand, convenience, interactivity, and playfulness are positively stimulating consumers' perceived enjoyment. And their perceived enjoyment directly drives their intention of impulsive purchase.

The choice of the live streaming platform, the design of the interactive interface, and the design of the shopping process are all factors that the streamer must carefully consider. The results of this study can be used as a reference for the development of live-streaming shopping and provide the industry with an understanding of the main factors that affect users' live streaming and impulsive purchases to plan an effective live streaming platform and content.

“E-commerce live streaming” is regarded as the latest trend of e-commerce, and impulse buying is regarded as a key factor in the success of transactions. This research has developed factors that influence impulsive purchases after watching live streaming based on the SOR theory.

Due to fierce competition in the mobile retailing market, it is desirable to identify the success factors driving consumers to reuse a mobile shopping application. This research intends to develop a model for mobile shopping app success by integrating an e-commerce systems success (ESS) model and sales promotion benefits and parasocial interaction literatures.

302 useable online questionnaires were obtained. The data analysis was conducted using the structural equation modelling.

The results indicate the validity of the ESS model in predicting consumers' reuse intention of mobile shopping apps where three quality dimensions of system, information and service facilitate both perceived value and user satisfaction, which in turn generates reuse intention. Furthermore, savings and entertainment denoting the utilitarian and hedonic sales promotion benefits have positive impact on perceived value but have no influence on satisfaction. Parasocial intention between consumers and sellers facilitates both value perception and satisfaction.

This research contributes to the mobile retailing literature by identifying the success factors driving consumers' continuance intention of mobile shopping apps. Theoretically, it validates and extends the ESS model in mobile shopping app context by identifying savings, entertainment and parasocial interaction as additional success factors. Based on the findings, two approaches are proposed to suggest mobile retailers design a successful mobile shopping app.