This article examines the relationship between the capabilities of HR departments and the level of adoption of corporate HRM practices in MNC subsidiaries. To explain this relationship, we leverage paradox theorizing, still rare but gaining increasing attention in HRM research, and integrate the studies of practice transfer, organizational ambidexterity, and absorptive capacity. First, we establish the conceptual linkages between the implementation and internalization dimensions of practice adoption and the potential and realized absorptive capacities of HR departments.Second, we re-define the operational and strategic activities of HR departments in terms of the learning paradox of exploitation and exploration. Third, we introduce the concept of HR ambidexterity to describe HR departments that possess high levels of capabilities in both operational (exploitative) and strategic (explorative) taskdomains. Finally, we hypothesize that ambidextrous HR departments are more adept at adopting corporate HRM practices. An analysis of the survey data from 105 foreign subsidiaries of 12 MNCs supports this single hypothesis. The main contribution of this research is in leveraging paradox theorizing to explain the nature of HRM capabilities and their role in the adoption of HRM practices.

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.

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