4.5 Article

Conflicting social influences regarding controversial information systems: the case of online dating

Journal

INFORMATION TECHNOLOGY & PEOPLE
Volume 36, Issue 2, Pages 834-866

Publisher

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/ITP-11-2020-0782

Keywords

Controversial information systems; Online dating; Adoption; Positive social influences; Negative social influences; Ambivalence

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This paper examines the impact of positive and negative social influences on user adoption intention towards online dating services (ODS). The findings indicate that positive social influence has a stronger impact on perceived benefits and adoption intention, while negative social influence has a greater impact on perceived risks. Additionally, ambivalence negatively moderates the effects of social influences on adoption.
Purpose Controversial information systems (IS) represent a unique context in which certain members of a user's social circle may endorse the use of a system while others object to it. The purpose of this paper is to explore the simultaneous and often conflicting roles of such positive and negative social influences through social learning and ambivalence theories in shaping user adoption intention of a representative case of controversial IS, namely online dating services (ODS). Design/methodology/approach The model was tested with two empirical studies using structural equation modeling techniques. The data of these studies were collected from 451 (Study 1) and 510 (Study 2) single individuals (i.e. not in a relationship). Findings (1) Positive social influence has a stronger impact on perceived benefits and adoption intention, while negative social influence exerts a greater impact on perceived risks; (2) positive and negative social influences affect adoption intention toward ODS differently, through benefit and risk assessments; and (3) ambivalence significantly negatively moderates the effects of social influences on adoption. Originality/value This study enriches and extends the IS use, ambivalence theory, prospect theory, and social learning theory research streams. Furthermore, this study suggests that it is necessary to focus on not only the oft-considered positive but also negative social influences in IS research.

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