| dc.contributor.author | Palklint, Elin | |
| dc.contributor.author | Müller, Talitha | |
| dc.date.accessioned | 2025-09-09T08:32:53Z | |
| dc.date.available | 2025-09-09T08:32:53Z | |
| dc.date.issued | 2025-09-09 | |
| dc.identifier.uri | https://hdl.handle.net/2077/89576 | |
| dc.description.abstract | Purpose: This thesis investigates the factors that influence the adoption of Human
Resource Analytics (HRA) in Western settings. Despite the growing strategic
relevance of HRA, adoption remains challenging due to fragmented
understanding and misalignment with existing structures, processes, and
practices. The study aims to provide a consolidated view of the complex
landscape shaping HRA adoption by integrating multiple contexts.
Theory: The research is grounded in the Technology–Organization–Environment (TOE)
framework and the Technology Acceptance Model 3 (TAM3). These
complementary frameworks are applied to examine the technological,
organizational, environmental, and individual contexts that collectively shape
the adoption of HRA.
Method: A scoping literature review was conducted, leading to the identification of 24
relevant and peer-reviewed articles. An inductive thematic analysis was
employed to identify, refine, and organize 30 subthemes under 11 overarching
themes, which were then allocated to the four influencing contexts defined by
the theoretical models.
Result: The findings reveal a broad set of factors across all four contexts. Key themes
include regulatory context, data governance, leadership commitment, and user
motivation, among others. The study underscores the importance of ethical
considerations, cross-functional collaboration, and layered training strategies.
By offering a structured synthesis, the thesis contributes to both academic theory
and practical efforts to advance the responsible adoption of HRA in Western
settings. | sv |
| dc.language.iso | eng | sv |
| dc.subject | HR analytics, Adoption barriers and enablers, Technology– Organization–Environment (TOE) framework, Technology Acceptance Model 3 (TAM3), Data-driven decision-making, Ethics in HR analytics, Western settings, Workforce analytics, People analytics, Scoping review, HR innovation | sv |
| dc.title | Scoping Literature Review: What Factors Influence the Adoption of HR Analytics in Western Settings? - An investigation of the environmental, technological, organizational, and individual context | sv |
| dc.type | Text | |
| dc.setspec.uppsok | SovialBehaviourLaw | |
| dc.type.uppsok | M2 | |
| dc.contributor.department | University of Gothenburg / Department of Sociology and Work Science | eng |
| dc.contributor.department | Göteborgs universitet / Institutionen för sociologi och arbetsvetenskap | swe |
| dc.type.degree | Student essay | |