‘From a network model to a model network: strategies for network development to narrow the LIS research–practice gap’ published online

The paper by Hazel Hall, Rachel Salzano, Katherine Stephen and me, about the impacts of the 2019 to 2021 RIVAL events, and the plot even in 2018, has now been published online. Here’s the abstract:

Purpose

The purpose of the empirical study was to examine whether strategies shown to work well in one model of network development for library and information science (LIS) practitioners and researchers could be applied successfully in the development of a new network and contribute to the narrowing of the research–practice gap in LIS.

Design/methodology/approach

Overall, 32 members of a new professional network were surveyed by a questionnaire following the completion of a programme of four network events held between 2019 and 2021.

Findings

The analysis demonstrates the transferability of the existing model of network development to a new network and that it can be successfully adapted for online delivery of network events and activities.

Practical implications

The criteria deployed for the evaluation of the new network could be used in other similar settings. Funding bodies can also use these findings as demonstration of the value of their investment in network grants.

Originality/value

This contribution on means of growing collaborative networks to narrow the LIS research–practice gap stands out in contrast with prior research that tends to focus the support of research productivity of academic librarians in North American universities for the purposes of career development. Here wider aspects of research engagement are considered of value for LIS practitioners from a range of sectors and institutions, beyond North America, for purposes that are broader than personal advancement.

Citation: Hall, H.Ryan, B.M.Salzano, R. and Stephen, K. (2022), “From a network model to a model network: strategies for network development to narrow the LIS research–practice gap”, Journal of Documentation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JD-04-2022-0088

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