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PurposeThe success of social commerce depends on consumers' willingness to participate in social commerce activities. Practitioners have attached increasing attention to facilitating social commerce intention with influencer strategies. However, theoretical understanding or empirical investigation on the impact of digital influencers on consumers' social commerce intention is limited. This study aims to provide new insights into the drivers of two forms of social commerce intention: social shopping and social sharing intention. Based on the theoretical lens of social power, this study answers how digital influencers affect consumer satisfaction and ultimately boost their intention to conduct social commerce activities.Design/methodology/approachA field interview is conducted to determine the appropriate social power forms. An online survey on a large social commerce site in China with 310 respondents is conducted to test the proposed model.FindingsResults indicate that expert power and referent power derived from digital influencers predict most of the consumers' economic satisfaction, whereas referent power and reciprocity power explain consumers' social satisfaction. Economic satisfaction affects social shopping and social sharing intention, whereas social satisfaction only influences social sharing intention.Originality/valueThis study sheds new light on the theoretical understanding of the effect of digital influencers through a lens of social power. It provides new insight into the determinants of social commerce intention. It also compensates for the neglect of social satisfaction in the social commerce context.

BACKGROUND: Even though the government's priorities in preventing cervical cancer are implemented in urban areas, the screening rate remains unsatisfactory at 6%, compared to 70% recommended by the world health organization. The ongoing public health education has not resulted in sufficient screening rates. The study aims to assess peer-led navigation (PLNav) in promoting cervical cancer screening knowledge, intention, and practices among urban women in Tanzania. Since PLNav is the form of task shifting, it involves delegating cervical-cancer-related tasks from healthcare professionals to community health workers (CHWs). METHODS: It is a community-based randomized controlled trial conducted in Dar es Salaam in Tanzania March-Sept 2020. The PLNav involved the CHWs delivering health education, counselling and navigation assistance to community women (COMW). The CHWs help women who have never undergone cervical cancer screening (CCS) and those who have undergone CCS but with a precancerous cervical lesion to overcome screening barriers. The data related to PLNav were analyzed by descriptive statistics, an independent-samples t-test, repeated measures ANOVA and linear regression. RESULTS: The repeated measures ANOVA across time showed that PLNav intervention on mean knowledge score changes was statistically significant in the intervention group compared with the control group's usual care, [F (1, 43) = 56.9, P < .001]. At the six-month follow-up, 32 (72.7%) out of 44 participants from the intervention group had screened for cervical cancer, and only one participant (2.3%) from the control group screened. The PLNav intervention on CCS uptake changes was statistically significant in the intervention group compared with usual care in the control group [F (1, 43) = 100.4, P < .001]. The effect of time on CCS uptake in the intervention and control groups was statistically significant [F (1.64, 70.62) = 73.4, P < .001]. CONCLUSION: Peer-led navigation (PLNav) was effective in promoting cervical cancer screening ...