International human resource management strategies of Chinese multinationals operating abroad

Strategic international human resource management (SIHRM) is crucial for the effective leveraging of human resources in organizations to achieve the desired business strategies. There is a rich collection of studies on western multinational corporations (MNCs) in China, but few studies that explore the SIHRM of Chinese MNCs operating overseas. This study utilizes cross-level, in-depth interviews to analyse SIHRM of three large Chinese multinationals. The paper contributes to literature by addressing two contextual SIHRM issues, namely the characteristics of the SIHRM for Chinese multinationals and how their SIHRM orientation facilitates their international investment and operation. The findings indicate that organizational transformation is the starting point for latecomers matching their international HRM strategies. Their SIHRM approaches, such as forming learning organizations, reliance on host-country nationals, reconciling both home and host-country effects and promoting ‘best practices’, facilitate their international operations.

Sustainability analysis and resource management for wireless mesh networks with renewable energy supplies

 There is a growing interest in the use of renewable energy sources to power wireless networks in order to mitigate the detrimental effects of conventional energy production or to enable deployment in off-grid locations. However, renewable energy sources, such as solar and wind, are by nature unstable in their availability and capacity. The dynamics of energy supply hence impose new challenges for network planning and resource management. In this paper, the sustainable performance of a wireless mesh network powered by renewable energy sources is studied. To address the intermittently available capacity of the energy supply, adaptive resource management and admission control schemes are proposed. Specifically, the goal is to maximize the energy sustainability of the network, or equivalently, to minimize the failure probability that the mesh access points (APs) deplete their energy and go out of service due to the unreliable energy supply. To this end, the energy buffer of a mesh AP is modeled as a G/G/1(/N) queue with arbitrary patterns of energy charging and discharging. Diffusion approximation is applied to analyze the transient evolution of the queue length and the energy depletion duration. Based on the analysis, an adaptive resource management scheme is proposed to balance traffic loads across the mesh network according to the energy adequacy at different mesh APs. A distributed admission control strategy to guarantee high resource utilization and to improve energy sustainability is presented. By considering the first and second order statistics of the energy charging and discharging processes at each mesh AP, it is demonstrated that the proposed schemes outperform some existing state-of-the-art solutions.

PGSW-OS: a novel approach for resource management in a semantic web operating system based on a P2P grid architecture

A web operating system is an operating system that users can access from any hardware at any location. A peer-to-peer (P2P) grid uses P2P communication for resource management and communication between nodes in a grid and manages resources locally in each cluster, and this provides a proper architecture for a web operating system. Use of semantic technology in web operating systems is an emerging field that improves the management and discovery of resources and services. In this paper, we propose PGSW-OS (P2P grid semantic Web OS), a model based on a P2P grid architecture and semantic technology to improve resource management in a web operating system through resource discovery with the aid of semantic features. Our approach integrates distributed hash tables (DHTs) and semantic overlay networks to enable semantic-based resource management by advertising resources in the DHT based upon their annotations to enable semantic-based resource matchmaking. Our model includes ontologies and virtual organizations. Our technique decreases the computational complexity of searching in a web operating system environment. We perform a simulation study using the Gridsim simulator, and our experiments show that our model provides enhanced utilization of resources, better search expressiveness, scalability, and precision. © 2014 Springer Science+Business Media New York.

Employee engagement, human resource management practices and competitive advantage

Abstract
Purpose - The purpose of this paper is to argue in support of a model that shows how four key HRM practices focused on engagement influence organizational climate, job demands and job resources, the psychological experiences of safety, meaningfulness and availability at work, employee engagement, and individual, group and organizational performance and competitive advantage.
Design/methodology/approach - This conceptual review focuses on the research evidence showing interrelationships between organizational context factors, job factors, individual employee psychological and motivational factors, employee outcomes, organizational outcomes and competitive advantage. The proposed model integrates frameworks that have previously run independently in the HR and engagement literatures.
Findings - The authors conclude that HRM practitioners need to move beyond the routine administration of annual engagement surveys and need to embed engagement in HRM policies and practices such personnel selection, socialization, performance management, and training and development.
Practical implications - The authors offer organizations clear guidelines for how HR practices (i.e. selection, socialization, performance management, training) can be used to facilitate and improve employee engagement and result in positive outcomes that will help organizations achieve a competitive advantage.
Originality/value - The authors provide useful new insights for researchers and management professionals wishing to embed engagement within the fabric of HRM policies and practices and employee behaviour, and organizational outcomes.

Human resource management in the public sector

'An impressive collection of authoritative treatments of major current and ongoing topics in public sector human resource management, provided by both well-established experts and up-and-coming scholars who are becoming leaders in the field. A valuable resource for courses on the topic and an important reference for scholars and those seeking to maintain expert knowledge about it.' - Hal G. Rainey, The University of Georgia, US. © Ronald J. Burke, Andrew J. Noblet and Cary L. Cooper 2013. All rights reserved.

Strategic Human Resource Management Theory and Practice

This volume moves beyond strategic human resource management from the perspective of the policy setter.

The impact of socially responsible human resource management on employees' organizational citizenship behaviour: the mediating role of organizational identification

Based on insights from social exchange and social identity theories, this paper examines the influence of three dimensions of socially responsible human resource management (SR-HRM), namely legal compliance HRM, employee-oriented HRM and general CSR facilitation HRM, on employees' organizational citizenship behaviour (OCB). Structural equation modelling of dyadic data collected from Chinese employees and their direct supervisors in three phases revealed that whilst organizational identification fully mediated the relationship between employee-oriented HRM and employee OCB, general CSR facilitation HRM had a direct effect on employee OCB. In contrast, legal compliance HRM neither influenced employee OCB directly, nor indirectly through organizational identification. The findings highlight the important but complex role played by SR-HRM in eliciting positive employee work outcomes, and contribute to our knowledge of the mechanisms underlying this relationship.

How do changes in human resource management practices influence employee engagement? A longitudinal study in a hotel chain in the Philippines

Drawing from social exchange theory, this study investigates how changes in human resource management practices influence and affect employee engagement in a hotel chain. Changes in human resource management practices were identified, and corresponding changes in the level of employee engagement were observed. One hundred forty-five employees from a hotel chain in the Philippines participated in a longitudinal study. Results show that improvements in human resource management practices, particularly in the areas of reward management and training and development, yielded positive and significant change in the level of employee engagement. Implications for human resource management, particularly in the hospitality and tourism context, are discussed.

Oral histories: informing natural resource management using perceptions of the past

In a rapidly changing world, oral history - a recorded dialogue between an interviewer and interviewee - is becoming an increasingly valued method by which to describe past marine environments and to enhance our knowledge of ecological changes. Using case studies from the 1860s to the present day we demonstrate the important role that oral history plays in providing novel information for science and natural resource management: from testimonies of changes in fish size and abundance to descriptions of local environmental change. Whilst the interpretation and application of such research presents many challenges for resource management, the narratives that stem from oral history can often hold much greater meaning to the public or local stakeholders than scientific observations alone. Thus, oral history not only has an important role to play in filling knowledge gaps but also may help to generate greater acceptance of the magnitude of change being observed in marine environments.

Control layer resource management in SDN-IoT networks using multi-objective constraint

Software Defined Networking (SDN) and Internet of Things (IoT) integration has thrown many critical challenges. Specifically, in heterogeneous SDN-IoT ecosystem, optimized resources utilization and effective management at the control layer is very difficult. This mainly affects the application specific Quality of Service (QoS) and energy consumption of the IoT network. Motivated from this, we propose a new Resource Management (RM) method at the control layer, in distributed SDN-IoT networks. This paper starts with reasons that why at control layer RM is more complex in the SDN-IoT ecosystem. After-that, we highlight motivated examples that necessitate to investigate new RM methods in SDN-IoT context. Further, we propose a novel method to compute controller performance. Theoretical analysis is conducted to prove that the proposed method is better than the existing methods.