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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.

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.

The recent proliferation of social media platforms has witnessed a growth in social commerce by using social media to facilitate interactivity between customers and vendors. While emergent studies on social commerce are growing, their focus tends to be on millennials and cross-age groups. Given the growth of digital natives in shaping the online shopping experience of the future, we deemed an application to Generation Z necessary and overdue.

We draw on the existing literature and develop a framework to understand social commerce dynamics for digital natives. We employ PLS and CB-SEM to test our proposed model.

Our findings demonstrate the importance of social commerce information sharing activities in facilitating social support, a sense of warmth and belongingness, and online trust for Generation Z platform users. We also investigate the roles of online trust and perceived risk on intention to purchase and find support for both relationships. Finally, we discuss the findings in terms of theoretical and managerial contributions and conclude the study with limitations and future research directions.

This research is unique by using social commerce theory to explore Gen Z platform users. The finding will contribute to information system literature by expanding the social commerce research stream.

The advantages of applying big data analytics for organizations to boost innovation performance are enormous. By collecting and analysing substantial amounts of data, firms can discern what works for their customer needs and update existing products while innovating new ones. Notwithstanding the evidence about the effects of big data analytics, the link between big data analytics and innovation performance is still underestimated. Especially in today's fast-changing and complicated environments, companies cannot simply take big data analytics as one innovative technical tool without fully understanding how to deploy it effectively.

This study tries to investigate this relationship by building on the knowledge absorptive capacity perspective. The authors conceptualized effective use of big data analytics tools as one general absorptive capacity rather than a simple technical element or skill. Specifically, effectively utilize big data analytics tools can provide values and insights for new product innovation performance in a turbulent environment. Using online survey data from 108 managers, the authors assessed their hypotheses by applying the structural equation modelling method.

The authors found that big data analytics capacity, which can be conceptualized as one absorptive capacity, can positively influence product innovation performance. The authors also found that environmental turbulence has strong moderation effects on these two main relationships.

These results establish big data analytics can be regarded as one absorptive capacity, which can positively boost an organization's innovation performance.

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.

Consumers may enjoy the information sharing and social support made available when a social media platform is used for pre-purchase research; however, do consumers reevaluate the privacy and security of the platform differently when ordering and payment capabilities are added? As social media systems have evolved into social commerce platforms (SCPs), individuals are often faced with whether to complete a purchase they have been researching or switch to a traditional e-commerce platform to complete the transaction. This research examines consumer trust formation in the SCP channel and how consumer interest and engagement in the channel are maintained and influence consumer decisions to purchase via the SCP.

Based on trust and involvement literature, a research model was conceptualized to capture consumer beliefs about SCP privacy and security and whether the SCP can be trusted, using these inputs into subsequent consumer interest, engagement and decisions on whether to use the SCP for purchasing. The research model was empirically tested using the panel data's structural equation modeling (AMOS) (n = 405). The data showed acceptable reliability and convergent validity, while the original research model provides predictive validity and theory-confirming insights.

Results confirm that consumer perceptions of privacy and security play a crucial role as decision criteria, informing their judgments of whether a new social commerce channel can be trusted enough to conduct purchases. Further, consumer trust supports their interest in the SCP, resulting in enduring and enhanced behavioral use and, to a lesser extent, purchase intent. Still, a majority of this sample declined to purchase using the SCP and rather preferred to transact on tried and trusted traditional e-commerce sites.

This study is among the first to examine trust formation in new SCPs, where consumers are deciding to expand their engagement level from social and informational to commercial.