Author List: Lee, Kyunghee; Lee, Byungtae; Oh, Wonseok;
Journal of Management Information Systems, 2015, Volume 32, Issue 4, Page 109-143.
In this study we investigate whether social reference systems, such as Facebook ÒlikesÓ (FBLs), promote sales in social commerce, wherein adverse selection and quality uncertainty often severely damage consumer trust and impede efforts to achieve sustainable growth. We also examine the extent to which product characteristics (product uncertainty and product franchising) and deal characteristics (tipping points, discount rates, and deal durations) moderate the social selling stimulated by FBLs. On the basis of 1,327 samples collected from a major social commerce platform provider, we identify several interesting empirical regularities regarding the relationship between FBLs and social commerce sales. The findings suggest that FBLs drive traffic and increase sales. Information technology artifacts and social technologies, such as FBLs, can endow a consumer's shopping experience with a socialization component and induce social selling in collective buying platforms. Nevertheless, significant variations occur across products and deals. For example, consumers who purchase experience goods more frequently depend on FBLs than do those who buy search goods. FBLs exert a far greater influence on the sales of goods from independent stores than those from franchise chains. Social commerce consumers are unaffected by heavy discount rates as they make purchase decisions, but they extensively rely on FBLs, particularly when purchasing products that have low tipping points. Our results suggest that social commerce can be a powerful marketplace when the economic utility that is driven by price incentives is further strengthened and protected by the social utility that originates from trust and sharing. > >
Keywords: deal characteristics; Facebook likes ;information asymmetry ;online sales; product characteristics ;social commerce; social network sites; social utility
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#118 0.222 online consumers consumer product purchase shopping e-commerce products commerce website electronic results study behavior experience b2c impact internet purchases websites
#234 0.145 social networks influence presence interactions network media networking diffusion implications individuals people results exchange paper sites evidence self-disclosure important examine
#4 0.098 characteristics experience systems study prior effective complexity deal reveals influenced companies type analyze having basis conducted determine complex comparative drive
#182 0.092 percent sales average economic growth increasing total using number million percentage evidence analyze approximately does business flow annual book daily
#268 0.060 arguments retailers manufacturers retailer internet claim manufacturer consumer argumentation referral agency store third-party upstream argument wholesale rely samples electronic plus
#62 0.059 price buyers sellers pricing market prices seller offer goods profits buyer two-sided preferences purchase intermediary traditional marketplace decisions intermediaries selling
#107 0.051 app brand mobile apps paid utility facebook use consumption users brands effects activities categories patterns controls extension store positive factor