Reiner, StephanieStephanieReinerAnnen, SilviaSilviaAnnenMurry, Gabriele M.Gabriele M.MurryGerholz, Karl-HeinzKarl-HeinzGerholz0000-0003-2118-40912026-03-062026-03-0620242232-56972232-5107https://fis.uni-bamberg.de/handle/uniba/114138Purpose: This study provides the current state of research on resource diagnostic instruments in the digital work context for human resource management. Study design/methodology/approach: The study examines resource diagnostics from different research traditions and tests their applications in the digital work context using a multilevel research design according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Findings: The study shows a wide range of resource diagnostic instruments and argues for more consensus on resource constructs. It also reveals a research gap in the digital work context. Originality/value: The study illustrates the complexity of resource diagnosis research and proposes defragmentation through consolidation.engJob Demands-Resources Modelresource diagnosticsdigital resourcestechnical resourcessystematic literature review650330article10.53615/2232-5697.13.305-356