Stickiness Impediments in Digital HRM
2022
- 78Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage78
- Downloads72
- Abstract Views6
Artifact Description
Realizing optimal value from digital HRM is a major challenge for most firms. This research adopts a practice lens to investigate how traditional HRM practice elements can constrain digital HRM practices. Findings from an interpretive case study suggest that constrained digital HRM practices emerge because employees and managers are embedded in sticky traditional work practices and not primarily because they are unwilling to adopt digital technologies. Conventional wisdom suggests that the quality of the digital HRM, meeting end-user performance expectations, and managing resistance to change can improve suboptimal digital practices. We propose that digital HRM transformation efforts should also change outdated routines rather than focusing only on technology improvements and individual behavioral change. The authors propose a model that explains stickiness in digital HRM practices and offers recommendations for HR practitioners to reduce stickiness.
Bibliographic Details
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