Using online data and network-based text analysis in HRM research

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Platanou, Kalliopi Mäkelä, Kristiina Beletskiy, Anton Colicev, Anatoli 2017-11-21T13:35:27Z 2017-11-21T13:35:27Z 2018
dc.identifier.citation Platanou , K , Mäkelä , K , Beletskiy , A & Colicev , A 2017 , ' Using online data and network-based text analysis in HRM research ' JOURNAL OF ORGANIZATIONAL EFFECTIVENESS . DOI: 10.1108/JOEPP-01-2017-0007 en
dc.identifier.issn 2051-6614
dc.identifier.other PURE UUID: 36b381f9-6508-4b58-9d2a-4d652f570c23
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE FILEURL:
dc.description.abstract Purpose The purpose of this paper is to propose new directions for human resource management (HRM) research by drawing attention to online data as a complementary data source to traditional quantitative and qualitative data, and introducing network text analysis as a method for large quantities of textual material. Design/methodology/approach The paper first presents the added value and potential challenges of utilising online data in HRM research, and then proposes a four-step process for analysing online data with network text analysis. Findings Online data represent a naturally occuring source of real-time behavioural data that do not suffer from researcher intervention or hindsight bias. The authors argue that as such, this type of data provides a promising yet currently largely untapped empirical context for HRM research that is particularly suited for examining discourses and behavioural and social patterns over time. Practical implications While online data hold promise for many novel research questions, it is less appropriate for research questions that seek to establish causality between variables. When using online data, particular attention must be paid to ethical considerations, as well as the validity and representativeness of the sample. Originality/value The authors introduce online data and network text analysis as a new avenue for HRM research, with potential to address novel research questions at micro-, meso- and macro-levels of analysis. en
dc.format.extent 17
dc.format.mimetype application/pdf
dc.language.iso en en
dc.rights openAccess en
dc.subject.other 512 Business and management en
dc.title Using online data and network-based text analysis in HRM research en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Management Studies
dc.contributor.department Nazarbayev University
dc.subject.keyword 512 Business and management
dc.identifier.urn URN:NBN:fi:aalto-201711217598
dc.identifier.doi 10.1108/JOEPP-01-2017-0007
dc.type.version publishedVersion

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