Babajide Osatuyi

Personality Traits and Information Privacy Concern on Social Media Platforms

This article reports on an exploratory study that examines the relationship between Big Five personality traits and computer anxiety as antecedents of individuals concern for information privacy (CFIP) on social media platforms and the consequent relationship between individuals CFIP and behavioral intentions to provide their personal information to online merchants. Using data from 298 undergraduate students, individuals that score highly on agreeableness and conscientiousness were found to be concerned about the privacy of their information on social media platforms. Contrary to hypothesis, computer anxiety was found to have a negative relationship with behavioral intentions. CFIP was found to fully mediate the relationship between computer anxiety and behavioral intentions. Implications for theory and practice are discussed.

How vital is the role of affect on post-adoption behaviors? An examination of social commerce users

Abstract Social commerce describes a new trend and fast-growing e-commerce business model that utilizes social connections in social networking to promote commerce in the online space. Despite its growth much is not known about factors that motivate users beyond their initial adoption to engage in post-adoption behaviors such as continuance intention to use social commerce to the point of becoming addictive users. Two predominant views have been used to study social commerce in the literature; one emphasizes the role of affect on behavioral outcomes (i.e., dual processing view) while the other suggests that affect is not important in use decisions (i.e., the independency view). Moreover, both views offer inconsistent results on understanding how consumers use social commerce sites. To address this inconsistency in the literature, this paper proposes and empirically evaluates a model that integrates the existing views to extend our understanding on social commerce post-adoption behaviors. Based on existing literature, this study identifies social, hedonic, and utilitarian gratifications that social commerce users seek to fulfill on social commerce sites. A cross-section of 510 social commerce users were recruited to report their perceptions on social commerce usage. Results indicate that the integrated model outperforms each of the dominant views in terms of explaining continuance use intentions and addictive behaviors. Satisfaction was found to both fully and partially mediate the relationship between perceived gratifications and their behavioral outcomes on social commerce sites.

Tug of war between social self-regulation and habit: Explaining the experience of momentary social media addiction symptoms

Abstract Addiction-like symptoms in relation to social networking site (SNS) use are prevalent and can adversely affect users. This paper seeks to theorize on and examine the etiology of such symptoms. Relying on the dual system theory (DST) with a specific focus on social aspects, this manuscript develops a research model positing that the momentary experience of SNS addiction symptoms is driven by tug-of-war between social self-regulation (a reflective process) and habit (a reflexive process), the effect of which is mediated via SNS use. It then tests the hypotheses through analyzing survey data from 161 SNS users, using structural equation modeling techniques. Results support the dual system perspective we take. They show that (1) habit (a reflexive system manifestation) drives SNS use and the experience of addiction symptoms, (2) social self-regulation (a reflective system manifestation) inhibits use and the experience of addiction symptoms and, (3) dual system effects on momentary SNS addiction symptoms are mediated through SNS use. This study introduces and validates a model that explains the experience of momentary SNS addiction symptoms. In particular, the proposed model extends prior dual system models by examining an overlooked, yet important, reflective process (social self-regulation) in the context of SNS use; and by focusing on an important, prevalent, yet relatively disregarded outcome (momentary symptoms rather than full-fledged addiction). The findings point to interesting theoretical and practical implications.

“Fool me once, shame on you… then, I learn.” An examination of information disclosure in social networking sites

This study investigates factors that affect user decisions on which information to share, and specifically whether and how to disclose sensitive personal information, when using social networking sites (SNSs). The determinants of personal information disclosure (self-disclosure) are identified using a framework that combines communication privacy management and social penetration theories. Communication privacy management theory is applied to identify which rules guide users sharing of personal information. Social penetration theory is used to understand personal information disclosure approachesdeep and shallowthat people employ on SNSs. Structural equation modeling was used to analyze data from 315 Facebook users who were also undergraduate students. Results show that individuals self-disclose more on SNSs when they know how to coordinate disclosure boundaries, and particularly when they have learned from prior privacy infringements. While types of relationships are important in determining self-disclosure approaches, SNSs users who have experienced a privacy breach follow different privacy coordination rules compared with those who have not experienced such an incident. Our results present an interesting twist in which the fooled once users show higher levels of information sharing at all levels. These users have learned their lessons and their way through privacy management options, eventually leading to a higher self-disclosure. Individuals self-disclose more on SNSs when they know how to manage disclosure.Self-disclose is higher on SNSs when users have learned from prior privacy infringements.Individuals use two self-disclosure approaches on SNS, deep and shallow disclosures.Shallow disclosure has a stronger relationship with self-disclosure continuance than deep disclosure.

A peer-influence perspective on compulsive social networking site use: Trait mindfulness as a double-edged sword

Abstract There is an increasing concern regarding the emergence of harmful compulsive use patterns among some social networking sites (SNSs) users. Although SNSs are efficient social interaction tools, there is a dearth of research that seeks to understand peer-influence determinants of compulsive SNS use. This study attempts to bridge this gap and tests a model that accounts for the effects of peer-influence mechanisms on compulsive SNS use. Because mindfulness is important for the observation of and cognitive deliberation regarding peer influences, the model also accounts for possible moderating effects of mindfulness. To test this model we conducted a two-wave survey of 155 SNS users from the US. Findings based on hierarchical regression models show that while observed increase in peer SNS use augments compulsive SNS use, social pressure self-efficacy reduces it. Trait mindfulness was found to accentuate these influences and serve as a double-edged sword: it strengthened the inhibiting effect of social pressure self-efficacy on compulsive SNS use, but increased the positive effect of observed peer use increase on compulsive SNS use. Moreover, about 11% of our sample met presumed rudimentary clinical compulsiveness screening criteria. Logistic regression showed that the likelihood of meeting these criteria is reduced with increases in SNS experience and social pressure self-efficacy. These findings can serve as a basis for the development of interventions that target such factors.

Twittermania: Understanding How Social Media Technologies Impact Engagement and Academic Performance of a New Generation of Learners

Twitter, a popular micro-blogging service, is increasingly evolving from being a mere chatting platform to a tool that is instrumental in affecting a desired learning and social change among individuals and organizations. Although using Twitter for learning while socializing represents a significant departure from its intended initial function, information systems (IS) researchers should further explore the impact and implications of social media technologies such as Twitter in the educational context. We draws on engagement theory and social impact theory to assess how social media technologies tools can support learning and improve students’ academic outcomes. We present an experiment in which we compared Twitter and a traditional discussion board to academically engage students over a 14-week period. The results show that actively using both Twitter and traditional discussion boards for engagement is related to student performance in the course. Social network analysis suggests that, by using Twitter, the students possibly created shared mental models that led them to engage with the class more, and therefore, better their performance.