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Does social media usage boost career prospects of women: an exploratory study in the academia
Kybernetes ; 52(6):2061-2091, 2023.
Article in English | ProQuest Central | ID: covidwho-2326079
ABSTRACT
PurposeThis paper draws on the affordance perspective, to explore the social media (SM) usage experiences that might render valuable for academic women professionals, for knowledge exchange, networking and success. Owing to the increased SM usage during COVID-19 pandemic, this paper tries to find out that in what ways do SM affordances facilitate the underprivileged group of women professionals to grow in their careers in a masculine, conservative society through knowledge exchange.Design/methodology/approachBy utilizing qualitative study design, the authors collected data from 31 women employed in Pakistani universities, through unstructured questionnaires. The responses were analyzed through Nvivo.FindingsThe generated themes suggested that women in Pakistan are aware of SM's potential for knowledge exchange among fellow professionals. They use it to aid them in communication, collaboration and networking. Additionally, they utilize it to share knowledge and build networks that are vital for career progression and success.Research limitations/implicationsThe paper concludes with the implications for practitioners that would aid them in boosting career prospects for women academicians through SM usage in a developing country Pakistan;where women's career outlooks are not as promising as for men;or as bright as for women working in the developed economies.Originality/valueThis a unique attempt to explore knowledge exchange dimensions with the help of SM in the context of working women by the deploying the phenomenological approach.
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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Type of study: Observational study / Qualitative research Language: English Journal: Kybernetes Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Type of study: Observational study / Qualitative research Language: English Journal: Kybernetes Year: 2023 Document Type: Article