Browsing by Subject "social influence"

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    Open Access
    Investigating the impact of a parenting intervention within a rural South African community: a longitudinal social network analysis
    (2021) Kleyn, Lisa Marguerite; Ward, Catherine L; Hewstone, Miles C; Wölfer, Ralf
    Colder, harsher parenting attitudes and behaviours negatively impact children's behaviour and development, and have been linked to heightened levels of violence towards children. Parenting interventions can improve outcomes by reducing violent and increasing non-violent parenting behaviours. I investigated how changes associated with a low-cost positive parenting intervention spread through a rural, low-income, South African community. Specifically, I assessed whether exposure to a community-wide social activation process and Parenting for Lifelong Health (PLH) programmes (focused on violence prevention in low-resource settings) significantly predict: (1) improved parenting, and (2) change in the communication networks of female caregivers in the whole community, while controlling for variables such as psychiatric symptoms, parenting stress, and alcohol misuse. Additionally, I investigated whether ties to parenting programme attendees in the communication network predicted improved parenting. Afrikaans-speaking female caregivers (n = 235; mean age 35.92 years), with children aged between 1½ and 18 years old, participated in the intervention; three waves of data were collected (January 2016, June 2017, and February 2019). The social network was measured based on a peer nomination procedure (of study participants whom “you talk to about parenting”). To analyse the role of interpersonal ties as pathways for spreading intervention effects, I make use of Social Network Analysis (SNA), in the form of nominations of people with whom respondents discuss parenting, together with self-report measures of parenting-related outcomes (from caregivers and their children). I then trace the extent to which both the social activation process and the parenting programmes are effective, in part, via their diffusion throughout the community. SNA was used to disentangle whether network changes improved parenting practices (i.e., selection effects) or whether reported improvements in parenting practices improved caregiver information networks (i.e., socialisation effects). Analysis of data from waves 1 and 2 indicated that community-wide improvements in parenting behaviour were evidenced. The significant predictors of improvement were social activation “dose” received, change in network centrality and the influence of indirect exposure to the parenting programmes via attendees. Furthermore, attending at least one session of a parenting programme offered in the intervention significantly predicted change in the caregivers' communication networks, indicating the spread of social influence through their network. The small subset of caregivers (n = 51; 21.7%) attending one or more sessions of a parenting programme evidenced greater activity (i.e., covariate ego effect) and potential influence (i.e., covariate alter effect) within the communication network compared to caregivers who did not attend any programme sessions. This subset of attending caregivers were more likely to reach out to other caregivers to speak about parenting after being exposed to the intervention, and both sought and received social support from other caregivers. Follow-up assessment using a third wave of data showed that while attendees remained socially influential within the caregiver network the overall community improvement was not sustained. These results illustrate the value of social network analysis for ascertaining the pathways through which the intervention achieved its impact and tracking the evolution of social norms within a community. The results indicate an association between spill-over effects from attendees to non-attendees and community-wide changes through targeted interventions.
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    Open Access
    The Privacy Paradox: Factors influencing information disclosure in the use of the Internet of Things (IoT) in South Africa
    (2020) Davids, Natheer; Budree, Adheesh
    The Internet of Things (IoT) has been acknowledged as one of the most innovative forms of technology since the computer, because of the influence it can have on multiple sectors of physical and virtual environments. The growth of IoT is expected to continue, by 2020 the number of connected devices is estimated to reach 50 billion. Recent developments in IoT provide an unprecedented opportunity for personalised services and other benefits. To exploit these potential benefits as best as possible, individuals are willing to provide their personal information despite potential privacy breaches. Therefore, this paper examines factors that influence the willingness to disclose personal information in the use of IoT in South Africa (SA) with the use of the privacy calculus as the theoretical underpinnings of this research. The privacy calculus accentuates that a risk-benefit trade off occurs when an individual decides to disclose their personal information, however, it is assumed that there are more factors than perceived risks and perceived benefits that influence information disclosure. After analysing previous literature, this study identified the following factors; information sensitivity, privacy concerns, social influence, perceived benefits, (perceived) privacy risks and privacy knowledge as possible key tenants in relation to willingness to disclose personal information. This research took on an objective ontological view, with the underlying epistemological stance being positivistic. The research incorporated a deductive approach, employing the use of a conceptual model which was constructed from a combination of studies orientated around privacy, the privacy calculus and the privacy paradox. Data for this research was collected using the quantitative research approach, through the use of an anonymous online questionnaire, where the targeted population was narrowed down to the general public residing within SA that make use of IoT devices and/or services. Data was collected using Qualtrics and analysed using SmartPLS 3. SmartPLS 3 was used to test for correlations between the factors which influence information disclosure in the use of IoT by utilising the complete bootstrapping method. A key finding was that the privacy paradox is apparent within SA, where individuals pursue enjoyment and predominantly use IoT for leisure purposes, while individuals are more likely to adopt self-withdrawal tendencies when faced with heightened privacy concerns or potential risks.