Furthermore, researchers interested in specific digital tools can also evaluate the extent to which academic staff in African universities are aware of and willing to utilize them for research dissemination. This offers a wide range of areas for studies to be anchored. A comprehensive but non-exhaustive number of 20 digital tools were assessed based on academics' awareness and current engagement with them, and the challenges they have faced using them. Considering the current restrictions on in-person social gatherings due to COVID-19, researchers working on related studies may readily utilize this set of data, saving time and cost. This implies that scholars can use this dataset to quantitatively analyse the extent to which different digital tools are being utilized for research communication. In Africa, this appears to be the broadest dataset associated with academics’ perception of utilizing digital platforms for research sharing. The associated questionnaire can be found in the extended data. The demographic information of the data was analysed and the softcopy of the data uploaded to the Mendeley database for easy retrieval after deidentification (see Data Availability statement). The questionnaire was designed by the researchers and validated by five experts for face and content validity. The dataset was collected through an online survey that was sent to respondents through email, WhatsApp, and the Association of African Universities Telegram group. This dataset was collected from a total of 1,977 university lecturers across 24 African countries, that were purposively targeted due to their level of exposure to scholarly publications. On a practical level, the authors contribute to understandings about how the employment landscape may evolve in regions affected by organizational demise, and how policymakers may study with or through network influences to develop more responsible downsizing approaches. On a theoretical level, this paper adds to understandings of the role of network embeddedness in influencing individual and collective responses to such disruptive events and direct or indirect forms of response. ![]() The authors then add nuance to the argument by considering a range of complicating factors that can constrain or enable the course(s) of action favored by particular combinations of network influences. The authors argue that at times of industrial decline and closure: embeddedness in intra-organizational networks can favor collective direct action embeddedness in professional networks is likely to favor individual direct action and embeddedness in community networks can lead to individual indirect action. The authors develop the argument by integrating relevant recent literature on the salience related to embedding in different types of social networks, with a particular focus on responses to organizational closure or relocation. ![]() ![]() These three types of networks have been frequently related to different types of action in the context of closures and relocations. To develop such insights, this paper focuses on three particular types of social networks, namely, intra-organizational external professional and local community networks. The purpose of this paper is to develop a more detailed understanding of how embedding in different social networks relates to different types of action that individuals choose in the context of organizational closures, downsizing or relocations.
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