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The purpose of this paper is to critically study the implementation and contextualization of the human resource transformation (HRT) management model within the human resources (HR) function of a global industrial company group.

A qualitative case study that includes two data collections.

Implementation of the HRT model led to tensions and conflicting interpretations of the mission of the HR function, and a “tug of war” about the distribution of work both within HR and between HR and line management. Splitting the HR function into three legs made the HR function's learning cycles more difficult. The corporate group had a decentralized and diverse business culture, and contextualization of the HRT model to this setting highlighted the model's embeddedness in the American business culture of centralization and standardization. Implementation of the model also entailed a transition from an employee to an employer perspective within HR.

For an assessment of HR's total work other parts of the HRT model (Ulrich and Brockbank, 2005) need to be involved since HR professionals in the insourced or outsourced shared service center (SSC) and Center of Expertise (CoE) and the e-HR tools are equally important for executing the total HR's mission. Further studies of the problematic human resource business partner (HRBP) role are needed and also what the development of e-HR solutions means for the HR profession.

The authors argue for a continuous development of HR work, along with closer professional contact both with line managers (LMs) and within the HR function, for improved learning cycles and a need for contextualization when implementing management models.

The paper discusses the HRT model's impact on HR practitioners’ and LMs’ work practice.

This article shows the need for contextualization when implementing management models. The lack of such contextualization led to severe tensions, and the intentions of an efficient and respected HR function were not achieved. The study contributes an evaluation of the tensions between HRT as a normative and standardized model in business settings accustomed to variety and decentralized decision-making.

The purpose of this paper is to propose and test a model designed to realize employee and organizational performance gains in developing economies.

Data were collected through a survey involving 35 organizations using electronic human resource management (e-HRM) systems. A purposive sampling technique was employed. Regression analysis making use of Process macro in Statistical Package for the Social Sciences (SPSS) was used to analyze the data.

Despite its infancy in African countries, e-HRM use has a positive effect on employee and organizational performance. The organization-wide gains are enhanced through employee performance mediation.

Electronic-HRM use, complemented by human resource best practices that impact positively on individual performance, is likely to enhance organizational performance gains. Employee performance mediation effect is likely to further enhance the effect of e-HRM usage on organizational performance.

This study represents a first attempt to examine the role of employee performance as an intervening variable in the relationship between e-HRM use and organizational performance. The findings bring into attention the role of organizational members' performance in explaining organizational performance gains. The findings also result in a model that should lead to increased employee and organizational performance.

Despite the growth and adoption of human resource (HR) analytics, it remains unknown whether HR analytics can impact organizational performance. As such, this study aims to address this important issue by understanding why, how and when HR analytics leads to increased organizational performance and uncover the mechanisms through which this increased performance occurs.

Using data collected from 155 Irish organizations, structural equation modeling was performed to test the chain mediation model linking HR technology, HR analytics, evidence-based management (EBM) and organizational performance.

The study's findings support the proposed chain model, suggesting that access to HR technology enables HR analytics which facilitates EBM, which in turn enhances organizational performance.

This research contributes significantly to the HR analytics and EBM literature. First, the study extends our understanding of why and how HR analytics leads to higher organizational performance. Second, the authors identify that access to HR technology enables and is an antecedent of HR analytics. Finally, empirical evidence is offered to support EBM and its impact on organizational performance.