EconPapers    
Economics at your fingertips  
 

Resource Orchestration Theory and the Configuration of Electronic Human Resources Management

Elia Pizzolitto () and Ida Verna ()
Additional contact information
Elia Pizzolitto: University G. D’Annunzio – Chieti-Pescara
Ida Verna: University G. D’Annunzio – Chieti-Pescara

A chapter in Exploring Digital Resilience, 2022, pp 29-40 from Springer

Abstract: Abstract Electronic human resources management (e-HRM) as a field has been developed on an exploratory basis, thus lacking theoretical foundations. Research into its theoretical underpinnings is therefore needed. Research orchestration theory (ROT) is an expansion of resource-based theory. It considers managers’ roles in the selection and configuration of resources, and it aims to explain the process of achieving a competitive advantage and exploiting the dynamic capabilities of resource configuration. This study is based on Strohmeier’s [34] framework and focuses on the configuration of e-HRM and its underlying elements: actors, strategies, activities, and technologies. We propose ROT as a solid foundation for the empirical investigation of e-HRM.

Keywords: e-HRM; Resource orchestration theory; Resource-based theory; Configuration (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-10902-7_3

Ordering information: This item can be ordered from
http://www.springer.com/9783031109027

DOI: 10.1007/978-3-031-10902-7_3

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnichp:978-3-031-10902-7_3