LEADER 03167nam 22004815 450 001 9910495198703321 005 20230918065711.0 010 $a3-658-35116-0 024 7 $a10.1007/978-3-658-35116-8 035 $a(CKB)4100000012007966 035 $a(MiAaPQ)EBC6709729 035 $a(Au-PeEL)EBL6709729 035 $a(DE-He213)978-3-658-35116-8 035 $a(PPN)257355758 035 $a(EXLCZ)994100000012007966 100 $a20210818d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAntecedents and Consequences of Digital Human Resource Management $eAn Exploratory Meta-Analytic Structural Equation Modeling (E-MASEM) Approach to a Multifaceted Phenomenon /$fby Christian Theres 205 $a1st ed. 2021. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Gabler,$d2021. 215 $a1 online resource (311 pages) 225 1 $aGabler Theses,$x2731-3239 311 $a3-658-35115-2 327 $aIntroduction and Motivation -- DHRM: A Multifaceted Field of Research -- Methodology -- Data Collection and Findings -- Discussion, Implications, and Limitations. 330 $aDuring the last decades, a considerable amount of research has been directed towards explaining the concept of Digital Human Resource Management (DHRM). Yet, a holistic assessment of DHRM antecedents and consequences with respect to possible contextual contingencies is still missing. To this end, this thesis introduces a research framework illuminating the multifaceted phenomenon of DHRM from various perspectives. An exploratory four-step meta-analytic structural equation modelling (E-MASEM) approach tailored to address the domain-specific challenges of DHRM is introduced and applied. Results identify 32 constructs associated with the DHRM usage phenomenon which are categorized into DHRM antecedents and DHRM consequences. Findings reveal that user perceptions, expectations, attitudes, and intentions are essential in predicting DHRM usage while HRM service quality and user satisfaction are found crucial in explaining other DHRM consequences. Further, practitioners are informed about the relative importance of factors for both facilitating DHRM adoption and measuring DHRM success. Lastly, this thesis also contributes to the MASEM methodology by outlining a new approach to summarize statistical inferences from multiple moderator tests. About the author Christian Theres is working as a researcher at the chair of management information systems at Saarland University. His focus is on digital human resource management. 410 0$aGabler Theses,$x2731-3239 606 $aPersonnel management 606 $aHuman Resource Management 615 0$aPersonnel management. 615 14$aHuman Resource Management. 676 $a658.300285 700 $aTheres$b Christian$0846232 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910495198703321 996 $aAntecedents and Consequences of Digital Human Resource Management$92244916 997 $aUNINA