A Consulting Giant; a Disgruntled Client: a ?Failed? Attempt to Change Management Controls in a Public Sector Organisation

There has been very little research into management consulting interventions in public sector organisations especially in emerging economies. This paper aims to fill this void by narrating the empirics of a consulting assignment carried out by a large international consulting firm in a Pakistani public sector organisation. The paper found that consultants? recommendations of modern day management accounting and control practices, such as a modern performance measurement system and a ?state-of-the-art? information system, were rejected by the management, who stopped the balance of payment of the consultants? fee. Employing a theoretical perspective that focuses on the structural conditions facing both the client and the consultants, and the strategies adopted by the consultants and the client, the paper aims to explain the empirics of the case. Through identification of the structural conditions operating in emerging economies, this paper sheds light on the nature of the relationship between consultants and client in these settings. The consultants? strategies and what went ?wrong? with these strategies was also analysed. Client management counter-strategies and management?s reasons for implementing them were also explored. Thus, through structural and strategic analysis, this paper aims to enhance our understanding of the dynamics of management consulting in public sector organisations especially in emerging economies

Sensing Models and Its Impact on Network Coverage in Wireless Sensor Network

Network coverage of wireless sensor network (WSN) means how well an area of interest is being monitored by the deployed network. It depends mainly on sensing model of nodes. In this paper, we present three types of sensing models viz. Boolean sensing model, shadow-fading sensing model and Elfes sensing model. We investigate the impact of sensing models on network coverage. We also investigate network coverage based on Poisson node distribution. A comparative study between regular and random node placement has also been presented in this paper. This study will be useful for coverage analysis of WSN.Comment: 5 pages, 5 figures, IEEE Region 10 Colloquium and the Third ICIIS, Kharagpur, INDIA December 8-10, 200

Understanding Management Accounting Changes in a Family-Owned Company: A Greek Case Study

This study seeks to understand the changes to management accounting controls in a large Greek company in the context of the rapidly changing socio-economic environment. The paper investigates the case of FA (here anonymised), a Greek dairy company, as it has been transformed from a small family-run firm to one of the biggest companies in Greece. Familial and informal management controls have been transformed into a relatively formal and professional form of control over the years. The dynamics and nature of management accounting changes are understood by drawing on critical realism, a theoretical framework pioneered by Roy Bhaskar (1975, 1979). Our analysis revealed that a changed wider structural environment, changed control needs of owners and ?politics of control within capital? between competing management positions (Armstrong, 1989) precipitated the changes in the management control practices of the organization

Binary PSOGSA for Load Balancing Task Scheduling in Cloud Environment

In cloud environments, load balancing task scheduling is an important issue that directly affects resource utilization. Unquestionably, load balancing scheduling is a serious aspect that must be considered in the cloud research field due to the significant impact on both the back end and front end. Whenever an effective load balance has been achieved in the cloud, then good resource utilization will also be achieved. An effective load balance means distributing the submitted workload over cloud VMs in a balanced way, leading to high resource utilization and high user satisfaction. In this paper, we propose a load balancing algorithm, Binary Load Balancing-Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (Bin-LB-PSOGSA), which is a bio-inspired load balancing scheduling algorithm that efficiently enables the scheduling process to improve load balance level on VMs. The proposed algorithm finds the best Task-to-Virtual machine mapping that is influenced by the length of submitted workload and VM processing speed. Results show that the proposed Bin-LB-PSOGSA achieves better VM load average than the pure Bin-LB-PSO and other benchmark algorithms in terms of load balance level

Tying Odysseus to the Mast: Evidence from a Commitment Savings Product in the Philippines

We designed a commitment savings product for a Philippine bank and implemented it using a randomized control methodology. The savings product was intended for individuals who want to commit now to restrict access to their savings, and who were sophisticated enough to engage in such a mechanism. We conducted a baseline survey on 1777 existing or former clients of a bank. One month later, we offered the commitment product to a randomly chosen subset of 710 clients; 202 (28.4 percent) accepted the offer and opened the account. In the baseline survey, we asked hypothetical time discounting questions. Women who exhibited a lower discount rate for future relative to current tradeoffs, and hence potentially have a preference for commitment, were indeed significantly more likely to open the commitment savings account. After twelve months, average savings balances increased by 81 percentage points for those clients assigned to the treatment group relative to those assigned to the control group. We conclude that the savings response represents a lasting change in savings, and not merely a short-term response to a new product.Savings, commitment, hyperbolic preferences, microfinance, development economics, program evaluation, field experiment, self-control

Energy-Aware Virtual Network Embedding Approach for Distributed Cloud

Network virtualization has caught the attention of many researchers in recent years. It facilitates the process of creating several virtual networks over a single physical network. Despite this advantage, however, network virtualization suffers from the problem of mapping virtual links and nodes to physical network in most efficient way. This problem is called virtual network embedding ("VNE"). Many researches have been proposed in an attempt to solve this problem, which have many optimization aspects, such as improving embedding strategies in a way that preserves energy, reducing embedding cost and increasing embedding revenue. Moreover, some researchers have extended their algorithms to be more compatible with the distributed clouds instead of a single infrastructure provider ("ISP"). This paper proposes energy aware particle swarm optimization algorithm for distributed clouds. This algorithm aims to partition each virtual network request ("VNR") to subgraphs, using the Heavy Clique Matching technique ("HCM") to generate a coarsened graph. Each coarsened node in the coarsened graph is assigned to a suitable data center ("DC"). Inside each DC, a modified particle swarm optimization algorithm is initiated to find the near optimal solution for the VNE problem. The proposed algorithm was tested and evaluated against existing algorithms using extensive simulations, which shows that the proposed algorithm outperforms other algorithms.Comment: International Journal of Advanced Computer Science and Applications(IJACSA

Modeling Probability of Path Loss for DSDV, OLSR and DYMO above 802.11 and 802.11p

This paper presents path loss model along with framework for probability distribution function for VANETs. Furthermore, we simulate three routing protocols Destination Sequenced Distance Vector (DSDV), Optimized Link State Routing (OLSR) and Dynamic MANET On-demand (DYMO) in NS-2 to evaluate and compare their performance using two Mac-layer Protocols 802.11 and 802.11p. A novel approach of this work is modifications in existing parameters to achieve high efficiency. After extensive simulations, we observe that DSDV out performs with 802.11p while DYMO gives best performance with 802.11.Comment: IEEE 8th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA'13), Compiegne, Franc