Theorising the links between e-HR and strategic HRM: a model, case illustration and reflections

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    Abstract

    In this paper we develop a model of e-human resources (e-HR) focusing on the relationship between HR strategy, e-HR goals and architectures, and positive and negative e-HR outcomes. This relationship is moderated by a number of key factors, including the organization and resources of the HR function, the absorptive capacity of HR, the skills and preferred styles of HR professionals, the levels of technology acceptance among employees and line managers and the models of change used in implementing e-HR programs. We illustrate certain features of this model using data from a case study of a leading international oilfield services provider. These data provide a partial confirmation of the model's validity but show the need for a more dynamic understanding of the links between e-HR variables and the importance of context in explaining differences between line managers' acceptance of e-HR.
    Original languageEnglish
    Pages (from-to)1553-1574
    Number of pages22
    JournalInternational Journal of Human Resource Management
    Volume21
    Issue number10
    DOIs
    Publication statusPublished - 2010

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    Personnel
    Managers
    Human resources
    Strategic HRM
    Theorizing
    Line managers

    Cite this

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    title = "Theorising the links between e-HR and strategic HRM: a model, case illustration and reflections",
    abstract = "In this paper we develop a model of e-human resources (e-HR) focusing on the relationship between HR strategy, e-HR goals and architectures, and positive and negative e-HR outcomes. This relationship is moderated by a number of key factors, including the organization and resources of the HR function, the absorptive capacity of HR, the skills and preferred styles of HR professionals, the levels of technology acceptance among employees and line managers and the models of change used in implementing e-HR programs. We illustrate certain features of this model using data from a case study of a leading international oilfield services provider. These data provide a partial confirmation of the model's validity but show the need for a more dynamic understanding of the links between e-HR variables and the importance of context in explaining differences between line managers' acceptance of e-HR.",
    author = "G. Martin and Martin Reddington",
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    N2 - In this paper we develop a model of e-human resources (e-HR) focusing on the relationship between HR strategy, e-HR goals and architectures, and positive and negative e-HR outcomes. This relationship is moderated by a number of key factors, including the organization and resources of the HR function, the absorptive capacity of HR, the skills and preferred styles of HR professionals, the levels of technology acceptance among employees and line managers and the models of change used in implementing e-HR programs. We illustrate certain features of this model using data from a case study of a leading international oilfield services provider. These data provide a partial confirmation of the model's validity but show the need for a more dynamic understanding of the links between e-HR variables and the importance of context in explaining differences between line managers' acceptance of e-HR.

    AB - In this paper we develop a model of e-human resources (e-HR) focusing on the relationship between HR strategy, e-HR goals and architectures, and positive and negative e-HR outcomes. This relationship is moderated by a number of key factors, including the organization and resources of the HR function, the absorptive capacity of HR, the skills and preferred styles of HR professionals, the levels of technology acceptance among employees and line managers and the models of change used in implementing e-HR programs. We illustrate certain features of this model using data from a case study of a leading international oilfield services provider. These data provide a partial confirmation of the model's validity but show the need for a more dynamic understanding of the links between e-HR variables and the importance of context in explaining differences between line managers' acceptance of e-HR.

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