Social Commerce Among Micro and Small Medium Enterprises Before and During the COVID19: A Systematic Literature Review

Social commerce (SC) is a relatively new tool that businesses are using to conduct business using social media (SM). The findings of prior literature are inconclusive. This paper reviews the literature to identify the current status and to identify the determinant of SC. A systematic literature review was conducted. A total of 41 articles were reviewed. A comparison between before and during COVID19 was conducted. The findings showed the number of studies has not increased during COVID-19. The technology acceptance model (TAM) and Technology-Organization- Environment (TOE) are used widely in the literature. The most important factors identified in this study are divided into before COVID19 and during COVID19. Perceived usefulness and perceived ease of use were important in both periods. New variables that were considered important during COVID19 is the organizational readiness, trust, security, and E- word of mouth (EWOM). More research is needed to understand the factors that contribute to SC adoption in different nations. Variables such as trust, environmental uncertainty, and perceived value can be included in future work. Developing a digital ecosystem for SC is a direction for future work. Understanding the important factors can contribute to the advancement of SC

Social Distance and Information Avoidance in Public Security Events: A Dual Involvement Perspective

With the large spread of information thanks to ICT, public security events are increasingly focused on by the public. But meanwhile, the phenomenon of people’s information avoidance in these events still exists and even becomes more prominent. However, existing studies on information avoidance have ignored such an important context (i.e., public security event) and the influence of people’s perceptions of social relationship. To fill the gaps, we develop a model to explore the influence of social distance on information avoidance through two opposite mechanisms from a dual involvement perspective, perceived relevance and negative affect, in the context of public security events. We also consider self-efficacy’s moderating role to identify the boundary conditions. A scenario-based survey with college students was conducted to test the proposed research model. Finally, theoretical contributions and practical implications are discussed

Dynamics of hotel website browsing activity: the power of informatics and data analytics

© 2020, Emerald Publishing Limited. Purpose: This paper aims to investigate the temporal dynamics of users browsing activity on a hotel website in order to derive effective marketing strategies and constantly improve website effectiveness. Users' activities on the hotel's website on yearly, monthly, daily and hourly basis are examined and compared, demonstrating the power of informatics and data analytics. Design/methodology/approach: A total of 29,976 hourly Weblog files from 1 August 2014 to 31 December 2017 were collected from a luxury hotel in Hong Kong. ANOVA and post-hoc comparisons were used to analyse the data. Findings: Users' browsing behaviours, particularly stickiness, on the hotel website differ on yearly, monthly, daily and weekly bases. Users' activities increased steadily from 2014 to 2016, but dropped in 2017. Users are most active from July to September, on weekdays, and from noon to evening time. The month-, day-, and hour-based behaviours changed through years. The analysis of big data determines strategic and operational management and marketing decision-making. Research limitations/implications: Understanding the usage patterns of their websites allow organisations to make a range of strategic, marketing, pricing and distribution decisions to optimise their performance. Fluctuation of website usage and level of customer engagement have implications on customer support and services, as well as strategic partnership decisions. Originality/value: Leveraging the power of big data analytics, this paper adds to the existing literature by performing a comprehensive analysis on the temporal dynamics of users' online browsing behaviours

How social distance affects the intention and behavior of collaborative consumption: a study based on online car-hailing service

In recent years, advances in mobile communications technology have enabled collaborative consumption or product sharing between consumers on a large scale. Unlike traditional consumption, collaborative consumption is based on collaboration among individuals, so that the decision-making mechanisms of individual consumers may be different from those in traditional consumption scenarios. The current study focuses on how the social distance between consumers and drivers affects collaborative consumption intention in the case of online car-hailing services. In this study, the theory of planned behavior (TPB) is used as the foundational framework, and we innovatively add the concept of social distance to the TPB to form a new, and integrated model. We test the model based on data collected from 315 online car-hailing users. The results shows that behavioral attitudes, subjective norms, and perceived behavioral control, positively influence collaborative consumption intention and behavior. More interestingly, we find that social distance has both direct and indirect impacts on collaborative consumption intention: The greater the social distance, the lower the collaborative consumption intention. Moreover, social distance also moderates the influence of subjective norms and perceived behavioral control on collaborative consumption intention. To be specific, the influence of subjective norms and perceived behavioral control on collaborative consumption intention is weakened when consumers perceive less social distance. The results suggest that the integrated model has a stronger explanatory power on collaborative consumption behavior. This study enhances the traditional TPB model and offers insight into promoting collaborative consumption in the context of the sharing economy

A meta-analysis of the factors associated with s-commerce intention: Hofstede's cultural dimensions as moderators

Purpose: In recent years, the proliferation of social commerce (s-commerce) has attracted many researchers to investigate the drivers of individuals' intentions. However, the empirical results reported in these studies were fragmented and inconsistent. This has led various meta-analyses to synthesize these findings, but without including a large number of s-commerce studies. In addition, investigating meta-analytically the effects of moderators such as the six dimensions of Hofstede's national culture is still lacking. Design/methodology/approach: Drawing on nine theories and models, this meta-analysis aims to summarize the findings reported in 109 s-commerce studies published between 2011 and 2021 and to examine the moderating role of national culture. The correlation coefficient (r) has been used as the main effect size for this study. Based on the random-effects method, the CMA V3 software has been employed to calculate the weighted mean effect sizes. Findings: The meta-analysis results showed that all the 11 hypothesized direct relationships are positive and significant. The moderator results also revealed that five out of six cultural dimensions significantly moderate the examined associations. Originality/value: This research serves to enrich the existing s-commerce literature by addressing contradictory and mixed results reported in the empirical studies. This study is one of the first of its kind to investigate the role of Hofstede's six cultural dimensions as moderators in the field of s-commerce using the meta-analytic techniques