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http://hdl.handle.net/10071/18099
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Title: Unveiling research trends for organizational reputation in the nonprofit sector
Authors: Santos, M. R. C.
Laureano, R. M. S.
Moro, S.
Keywords: Nonprofit organizations
Reputation
Text mining
Topic modeling
Issue Date: 2019
Publisher: Springer
Abstract: Public scrutiny and the need for funds in a more competitive environment are pressuring nonprofits to be more consciously aware of their reputation. This study used automated analysis with text mining and topic modeling of 177 articles directly linked to nonprofits’ reputation and published up to 2016. After identifying the most salient topics and conducting an in-depth, critical review of the most significant articles within each topic, four theoretical and managerial implications were identified. First, managers need to develop skills to deal with risk, the Internet, and social networks. Second, risk management is an emergent, still tentative, but important topic waiting for more contributions. Third, researchers can apply lexicons developed and validated by experts to uncover knowledge relevant to the entire nonprofit sector’s organizations. Last, the trends and topics highlighted can help scholars and practitioners make better decisions in research or responses to management challenges.
Peer reviewed: yes
URI: http://hdl.handle.net/10071/18099
DOI: 10.1007/s11266-018-00055-7
ISSN: 0957-8765
Ciência-IUL: https://ciencia.iscte-iul.pt/id/ci-pub-50022
Appears in Collections:ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

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