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Autoethnography in Information Science Research: A Transformative Generation and Sharing of Knowledge or a Fallacy?

Autoethnography in Information Science Research: A Transformative Generation and Sharing of Knowledge or a Fallacy?

Vicki Lawal, Connie Bitso
ISBN13: 9781799814719|ISBN10: 1799814718|EISBN13: 9781799814726
DOI: 10.4018/978-1-7998-1471-9.ch007
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MLA

Lawal, Vicki, and Connie Bitso. "Autoethnography in Information Science Research: A Transformative Generation and Sharing of Knowledge or a Fallacy?." Handbook of Research on Connecting Research Methods for Information Science Research, edited by Patrick Ngulube, IGI Global, 2020, pp. 114-138. https://doi.org/10.4018/978-1-7998-1471-9.ch007

APA

Lawal, V. & Bitso, C. (2020). Autoethnography in Information Science Research: A Transformative Generation and Sharing of Knowledge or a Fallacy?. In P. Ngulube (Ed.), Handbook of Research on Connecting Research Methods for Information Science Research (pp. 114-138). IGI Global. https://doi.org/10.4018/978-1-7998-1471-9.ch007

Chicago

Lawal, Vicki, and Connie Bitso. "Autoethnography in Information Science Research: A Transformative Generation and Sharing of Knowledge or a Fallacy?." In Handbook of Research on Connecting Research Methods for Information Science Research, edited by Patrick Ngulube, 114-138. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1471-9.ch007

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Abstract

This chapter examines the concept of autoethnography as a qualitative research method. It aims to investigate the critical question of the importance of autoethnography as a transformative scientific research method for the purpose of generating and sharing knowledge to advance research in information science. The chapter is an exploratory study investigating the current context of autoethnography in information science, its applicability to the field for transformative learning and knowledge sharing, and possible challenges to be experienced. Findings indicate the potential of the autoethnographic method to provide the opportunity for information professionals to study experiences of information use in diverse contexts of information science. Recommendations highlight the viability of the application of Sense Making theory and the Information Search Process (ISP) model to research practices in autoethnography by information scientists.

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