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Social media management is an emerging profession that is growing as companies increasingly adopt social media. The purpose of this paper is to analyze social media managers’ personal branding.

In-depth qualitative data is drawn from 20 semi-structured interviews with social media managers and supported by three years of orienting fieldwork in Toronto, Canada.

Social media managers are responsible for managing and executing organizations’ brands and presence on social media and digital platforms. As lead users of social media, social media managers provide critical insight into the emerging practices of personal branding on social media. “The future audience” is introduced to describe how individuals project a curated brand for all future unknown and unanticipated audiences, which emphasizes a professional identity. Due to workplace uncertainty, social media managers embody the mentality of being “always-on-the-job-market”, which is a driver for personal branding in their attempt to gain or maintain employment.

While personal branding is largely discussed by industry professionals, there is a need for empirical research on personal branding that examines how various employee groups experience personal branding. This research fills this gap by analyzing how people working in social media brand their identity and how their personal branding is used to market themselves to gain and maintain employment. The development of “the future audience” and “always-on-the-job-market” can be used to understand other professions and experiences of personal branding.

The study examined the personal information management (PIM) challenges encountered by faculty in six universities in Ghana, their information refinding experiences and the perceived role of memory. The study tested the hypothesis that faculty PIM performance will significantly differ when the differences in the influence of personal factors (age, gender and rank) on their memory are considered.

The study was guided by a sample survey design. A questionnaire designed based on themes extracted from earlier interviews was used to collect quantitative data from 235 faculty members from six universities in Ghana. Data analysis was undertaken with a discrete multivariate Generalized Linear Model to investigate how memory intermediates in the relationship between age, gender and rank, and, refinding of stored information.

The paper identified two subfunctions of refinding (Refinding 1 and Refinding 2) associated with self-confidence in information re-finding, and, memory (Memory 1 and Memory 2), associated with the use of complimentary frames to locate previously found and stored information. There were no significant multivariate effects for gender as a stand-alone variable. Males who were aged less than 39 could refind stored information irrespective of the memory class. Older faculty aged 40–49 who possess Memory 1 and senior lecturers who possess Memory 2 performed well in refinding information. There was a statistically significant effect of age and memory; and rank and memory.

This study was limited to faculty in Ghana, whereas the study itself has implications for demographic differences in PIM.

Identifying how memory mediates the role of personal factors in faculty refinding of stored information will be necessary for the efforts to understand and design systems and technologies for enhancing faculty capacity to find/refind stored information.

Understanding how human memory can be augmented by technology is a great PIM strategy, but understanding how human memory and personal factors interplay to affect PIM is more important.

PIM of faculty has been extensively examined in the literature, and limitations of memory has always been identified as a constraint. Human memory has been augmented with technology, although the outcome has been very minimal. This study shows that in addition to technology augmentation, personal factors interplay with human memory to affect PIM. Discrete multivariate Generalized Linear Model applied in this study is an innovative way of addressing the challenges of assimilating statistical methodologies in psychosocial disciplines.