Research in e-HRM: Review and implications
By Stefan Strohmeier. 2007
590 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/34cf84872e7f419e88d09de8f7d448100e993332
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Tanya V. Bondarouk
- Sandra L. Fisher
- Janet H. Marler
- E. Parry
- Nikki Blacksmith
- Elfi Furtmueller
- Tara S. Behrend
- Jon C. Willford
In Information Systems and Management
- Tanya V. Bondarouk
- Janet H. Marler
- Sandra L. Fisher
- E. Parry
- Elfi Furtmueller
- Nikki Blacksmith
- Tara S. Behrend
- Jon C. Willford
In Organizational Behavior and Human Resource Management
- Stefan Strohmeier
- E. Parry
- Tanya V. Bondarouk
- Janet H. Marler
- Sandra L. Fisher
- Elfi Furtmueller
- Nikki Blacksmith
- Tara S. Behrend
Citations in the corpus
- Conceptualising the future of HRM and technology research (2016, background): “Therefore, another c hallenge is to empirically investigate the international context of e-HRM adoption (Ruël & Bondarouk, 2012; Strohmeier, 2007), including comparative analysis of developed and developing host countries ’ effects of e-HRM implementation in MNCs.”
- The adoption of artificial intelligence in employee recruitment: The influence of contextual factors (2021, methodology): “Strohmeier (2007) suggests that HR scholars should borrow established theoretical models from the IS field to study the technology implications specific to HRM (e-HRM).”
- Technology in The employmenT inTerview: A meTA-AnAlysis And FuTure reseArch AgendA (2016, methodology): “We echo the call made from other authors (e.g., Adler, Arthur, Morelli, Potosky, & Tippins, 2016; Potosky, 2008; Stone, Lukaszewski, Stone-Romero, & Johnson, 2013; Strohmeier, 2007) to develop a comprehensive conceptual framework.”
- Electronic HRM: four decades of research on adoption and consequences (2017, methodology): “widespread among large organizations Strohmeier & Kabst (2009) describe larger companies as earlier adopters, successful adoption is more widespread among small organizations”
- An evidence-based review of e-HRM and strategic human resource management (2013, methodology): “We decided to retain only those articles that (1) were in peer reviewed publications, (2) included quantitative or qualitative data (no purely conceptual studies), (3) fit one or more definitions of e-HRM as reviewed above, (4) addressed the use of e-HRM in an organizational setting rather than taki”
- Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review (2021, background): “…also referred to as eHRM, has gained increasing attention as scholars have sought to understand the external influences rather than internal influences on organizational operations and HRM practices in particular (e.g. Alcaraz et al., 2012; Parry & Tyson, 2011; Strohmeier, 2007; Strohmeier, 2009).”
- Digital human resource management: A conceptual clarification (2020, methodology): “Regarding existing real-types, respective contexts and consequences are also of interest (e.g. Bondarouk and Brewster, 2016; Strohmeier, 2007).”
- Electronic Human Resource Management: challenges in the digital era (2009, background): “…HR activities benefited by adopting e-HRM (cost savings, efficiency, flexible services, employee participation), whereas others created extra organizational barriers (work stress, more HR administration, disappointments with technological properties) (for a detailed overview, see Strohmeier 2007).”