Purpose: Social media is still influencing consumers and is extending social commerce (S-Commerce) use. Different social media activities can influence the users' trust and e-satisfaction at different levels, which in turn influence the purchase intentions. This is evident for the food and beverage industry as S-Commerce mediated by social media can help realise a shorter time to market and meet buyer demands. In addition, credibility factors may influence trust and purchase intentions. Understanding the various factors of influence such as social constructs, namely ratings, reviews and referrals; design constructs such as credibility and features and behavioural constructs such as trust, satisfaction and motivation; and analysing the relationship between these factors and how they influence purchase intentions can provide deeper insights into S-Commerce research, decision-making process and purchase intentions particularly from a food and beverage context.Design/methodology/approach: Drawing on trust through social media activities and surface credibility as well as e-commerce satisfaction, the authors have proposed a research model to investigate the purchase intention of consumers in S-Commerce platforms. Survey data were collected from six countries in Asia and analysed using SEM-PLS.Findings: Results indicated that both trust and surface credibility significantly influence e-commerce satisfaction leading to purchase intention. Furthermore, surface credibility, which is a novel predictor for purchase intention in S-Commerce context, is highly significant on e-commerce satisfaction. Besides, encouraged by surface credibility, it was identified that trust significantly affects e-commerce satisfaction and results in purchase intention. This research adds contribution to theory and practice in S-Commerce stream as discussed at the end of the paper.Originality/value: The results of this research contribute to the S-Commerce literature and have practical implications for practitioners in the food and beverage industry. As such, focussing on these constructs, this paper analyses the relationship between the social media activities, trust, e-commerce satisfaction, surface credibility and intention to buy.

Purpose: 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. Design/methodology/approach: 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. Findings: 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. Originality/value: 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.

Purpose: 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. Design/methodology/approach: The study uses a survey to collect data and applies Smart partial least squares to test the model. Findings: 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. Originality/value: 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.

Global virtual teams (GVTs) are a recent organizational adaptation created to meet the needs of globalizatized marketplace. GVTs are essentially teams that are distributed across national boundaries and concerned through advanced information and communication technology (ICT) such as email, instant messaging, and video conferencing. The research on GVTs is important in the information system (IS) field because GVTs are dependent on information communication technology and the use of other technologies; GVTs also consists of people from different cultures. This paper tried to answer two research questions. The first one is: what are the GVTs problems facing the project manager (PM). A literature review was conducted to answer the first research question. The second one is: how to develop system as a guide for PM. The system was developed by Visual Studio 2019. Online model verification was conducted within 6 experts from IT industry. After developing the system, it was validated by eleven developers (non-functional test/black-box testing) and 3 developers/programmers (functional test/white-box testing) from the same industry. The result of model verification confirmed that the model can help the PM. Also, the non-functional test/black-box testing and functional test/white-box testing was confirmed.