Hospital Administrative Characteristics and Volunteer Resource Management Practices

Purpose – The purpose of this paper is to explore the links between various characteristics of hospital administration and the utilization of classes of volunteer resource management (VRM) practices. Design/methodology/approach – This paper uses original data collected via surveys of volunteer directors in 122 hospitals in five Northeastern and Southern US states. Findings – Structural equation modeling results suggest that number of paid volunteer management staff, scope of responsibility of the primary volunteer administrator, and hospital size are positively associated with increased usage of certain VRM practices. Research limitations/implications – First, the authors begin the exploration of VRM antecedents, and encourage others to continue this line of inquiry; and second, the authors assess dimensionality of practices, allowing future researchers to consider whether specific dimensions have a differential impact on key individual and organizational outcomes. Practical implications – Based on the findings of a relationship between administrative characteristics and the on-the-ground execution of VRM practice, a baseline audit comparing current practices to those VRM practices presented here might be useful in determining what next steps may be taken to focus investments in VRM that can ultimately drive practice utilization. Originality/value – The exploration of the dimensionality of volunteer management adds a novel perspective to both the academic study, and practice, of volunteer management. To the authors’ knowledge, this is the first empirical categorization of VRM practices.

Citizen science and natural resource governance: program design for vernal pool policy innovation

Effective natural resource policy depends on knowing what is needed to sustain a resource and building the capacity to identify, develop, and implement flexible policies. This retrospective case study applies resilience concepts to a 16-year citizen science program and vernal pool regulatory development process in Maine, USA. We describe how citizen science improved adaptive capacities for innovative and effective policies to regulate vernal pools. We identified two core program elements that allowed people to act within narrow windows of opportunity for policy transformation, including (1) the simultaneous generation of useful, credible scientific knowledge and construction of networks among diverse institutions, and (2) the formation of diverse leadership that promoted individual and collective abilities to identify problems and propose policy solutions. If citizen science program leaders want to promote social-ecological systems resilience and natural resource policies as outcomes, we recommend they create a system for internal project evaluation, publish scientific studies using citizen science data, pursue resources for program sustainability, and plan for leadership diversity and informal networks to foster adaptive governance.

Resident perceptions of natural resources between cities and across scales in the Pacific Northwest

As the global population becomes increasingly urban, research is needed to explore how local culture, land use, and policy will influence urban natural resource management. We used a broad-scale comparative approach and survey of residents within the Portland (Oregon)-Vancouver (Washington) metropolitan areas, USA, two states with similar geographical and ecological characteristics, but different approaches to land-use planning, to explore resident perceptions about natural resources at three scales of analysis: property level (“at or near my house”), neighborhood (“within a 20-minute walk from my house”), and metro level (“across the metro area”). At the metro-level scale, nonmetric multidimensional scaling revealed that the two cities were quite similar. However, affinity for particular landscape characteristics existed within each city with the greatest difference generally at the property-level scale. Portland respondents expressed affinity for large mature trees, tree-lined streets, public transportation, and proximity to stores and services. Vancouver respondents expressed affinity for plentiful accessible parking. We suggest three explanations that likely are not mutually exclusive. First, respondents are segmented based on preferences for particular amenities, such as convenience versus commuter needs. Second, historical land-use and tax policy legacies may influence individual decisions. Third, more environmentally attuned worldviews may influence an individual’s desire to produce environmentally friendly outcomes. Our findings highlight the importance of acknowledging variations in residents’ affinities for landscape characteristics across different scales and locations because these differences may influence future land-use policies about urban natural resources.

An appraisal of adaptive management planning and implementation in ecological restoration: case studies from the San Francisco Bay Delta, USA

Adaptive management has been defined and redefined in the context of natural resource management, yet there are few examples of its successful application in ecological restoration. Although the 2009 Delta Reform Act now legally requires adaptive management for all restoration efforts in the Sacramento-San Joaquin Delta, in California, USA, projects in this region still encounter problems with implementation. We used a comparative case study analysis to examine adaptive management planning and implementation both in and around the Delta, assessing not only why adaptive management is not yet well implemented, but also what changes can be made to facilitate the adaptive management approach without sacrificing scientific rigor. Adaptive management seems to be directly and indirectly affected by a variety of challenges and convoluted by ambiguity in both planning documents and practitioner’s interpretations of the concept. Addressing these challenges and ambiguities at the project level may facilitate the adaptive management process and help make it more accessible to practitioners.

Indigenous Māori values and perspectives to inform freshwater management in Aotearoa-New Zealand

In response to widespread water quality and quantity issues, the New Zealand Government has recently embarked on a number of comprehensive freshwater management reforms, developing a raft of national discussion and policy documents such as “Freshwater Reform 2013 and Beyond” and a National Policy Statement for freshwater management (NPS-FM 2014). Recent resource management reforms and amendments (RMA 2014), based on previous overarching resource management legislation (RMA 1991), set out a new approach and pathway to manage freshwater nationwide. Internationally, there is an increasing trend to engage with indigenous communities for research and collaboration, including indigenous groups as active participants in resource management decision making. What is driving this change toward more engagement and collaboration with indigenous communities is different for each country, and we document the progress and innovation made in this area in New Zealand. The indigenous rights of Māori in New Zealand are stated in the 1840 Treaty of Waitangi and in many forms of New Zealand's legislation. Local and central governments are eager to include local indigenous Māori groups (iwi/hapū) in freshwater management planning processes through meaningful engagement and collaboration. Key to the success of collaborative planning processes for Māori are enduring relationships between local government and Māori, along with adequate resourcing for all partners contributing to the collaborative process. A large number of shared governance and management models for natural resource management have emerged in New Zealand over the past 20 years, and some recent examples are reviewed. We provide some discussion to improve understanding and use of the terms used in these management models such as cogovernance, comanagement, and coplanning, and describe some of the more important frameworks and tools being developed with Māori groups (e.g., iwi/hapū), to strengthen Māori capacity in freshwater management and to support good collaborative process and planning.

How Have Institutional Barriers Impacted Implementation of Ecosystem Based Fishery Management in the US

Thesis (Master's)--University of Washington, 2016-08

Individual human resource management and development: career management

Framed on a wider project on Individual Human Resource Management and Development (HRMD), this project aims to explore Individual Career Management and Development (CMD) as an emergent professional field of HRMD.

Structured decision making as a tool for facilitating stakeholder engagement in non-renewable resource management: using the case study of hydraulic fracturing in the Green Point Shale formation in western Newfoundland

This thesis examines the importance of effective stakeholder engagement that complies with the doctrines of social justice in non-renewable resources management decision-making. It uses hydraulic fracturing in the Green Point Shale Formation in Western Newfoundland as a case study. The thesis uses as theoretical background John Rawls’ and David Miller’ theory of social justice, and identifies the social justice principles, which are relevant to stakeholder engagement. The thesis compares the method of stakeholder engagement employed by the Newfoundland and Labrador Hydraulic Fracturing Review Panel (NLHFRP), with the stakeholder engagement techniques recommended by the Structured Decision Making (SDM) model, as applied to a simulated case study involving hydraulic fracturing in the Green Point Shale Formation. Using the already identified social justice principles, the thesis then developed a framework to measure the level of compliance of both stakeholder engagement techniques with social justice principles. The main finding of the thesis is that the engagement techniques prescribed by the SDM model comply more closely with the doctrines of social justice than the engagement techniques applied by the NLHFRP. The thesis concludes by recommending that the SDM model be more widely used in non- renewable resource management decision making in order to ensure that all stakeholders’ concerns are effectively heard, understood and transparently incorporated in the nonrenewable resource policies to make them consistent with local priorities and goals, and with the social justice norms and institutions.

Human resource management change: a respond to institutional autonomy

Mestrado em Ensino Superior (Erasmus Mundus)

Teaching materials for Human Resource Management (HRM)

These materiasl are the English translation of the materials currently used for the rest of the groups

Human resource management reform in the Indonesian civil service : towards strategic fit?

Studies of strategic HRM have dominated HRM research over the last three decades. Focusing on the HRM-organisation performance relationship, researchers take various themes and perspectives in their approach to strategic HRM. Among these themes, two contrasting approaches of strategic HRM continue to flourish: first, the best practice approach suggests that certain HRM practices will have the same effect irrespective of context and, second, the best fit approach suggests that the choice of HRM practices should be designed in accordance with an organisations’ specific context. While there is little consensus on what constitutes strategic HRM, the most common feature agreed in this field is the notion of the strategic integration; aligning HRM practices with organisations’ overall strategic objectives (vertical fit) and with each other (horizontal fit). Utilising the best fit approach as its theoretical framework, this study examines how vertical and horizontal fit is practised in the Indonesian civil service and what factors likely influence the prevalence of vertical and horizontal fit in the Indonesian civil service context. This study is significant for two important reasons. Firstly, the literature suggests that there are limited studies examining the best fit concept in the civil sector despite its implementation in the private sector positively contributing to organisational performance improvement. Secondly, the study provides enlightenment on how the best fit approach could contribute to performance improvement in the Indonesian civil service. This is in line with the fact that negative images of the Indonesian civil service are continuously highlighted although various HRM reform initiatives have been put in place. To achieve the objectives of the study, the qualitative case study approach accompanied by semi-structured interviews was employed involving 53 senior officials and one focus group discussion from eight Indonesian government agencies, consisting of three central agencies mandated to manage human resources, the National Bureaucratic Reform Team and four line agencies from both central and local governments. Thematic analysis was employed for data analyses and NVIVO software was used to manage the data. The study suggests three main findings. First, various HRM initiatives in relation to the HRM reform have been introduced in the Indonesian civil service differentiating them from the old HRM practices. However, the findings indicate that some HRM policies are still contradicting and hinder vertical and horizontal fit. Second, despite the contradictory policies, vertical and horizontal fit can be seen in the line agencies which have been acknowledged as ‘reformed agencies’. This demonstrates that the line agencies play an important role in aligning HRM practices with the line agencies’ goals and objectives and with one another although they are bounded by HRM policies that are unlikely to support the vertical and horizontal fit concept. Third, factors influencing the prevalence of vertical and horizontal fit include knowledge of contemporary HRM in both central agencies and line agencies, commitment from the line agencies’ leaders, devolvement of HRM to the line agencies and the socio-political and economic environments of the Indonesian civil service. The findings of the study raise policy, practical and theoretical implications. In terms of policy implications, the study highlights the importance of fit in HRM policies to support the achievement of the line agencies’ goals. Therefore, when formulating an HRM policy, the central agencies need to ensure that the HRM policy is linked to line agencies’ goals and to other HRM policies. This is to ensure synchronisation among the policies and thus maximising the achievement of the line agencies’ goals. From the practical perspectives, the study highlights important points which can be learned by the central agencies in carrying out their strategic role with regard to the formulation of HRM policies; by the line agencies in maximising the contribution of HRM to the achievement of the goals and objectives of the agencies through the implementation of the best fit concept, and by the leaders of the agencies in providing continuous support to each of the involved parties in the line agencies and involving the HRM department in all agency’s strategic decision-making. In relation to the theoretical implication, it is clear that the best fit approach is not thoroughly applied due to factors discussed previously. However, this does not mean that the best fit concept cannot be implemented. As argued by McCourt & Ramgutty-Wong (2003), instead of adopting the whole concept of best fit, a modulated approach reflecting the best fit concept, such as selecting individual HRM practices and experimenting with devolution, is possible for civil service organisations which still embrace centralised HRM systems. As demonstrated in the findings, some of the line agencies being studied seem to be ready to adopt the best fit approach given that they have knowledge of the best fit concept, strong support from the top leader, less political intervention and less corruption, collusion, and nepotism practices in their HRM practices.

Improving Resource Management in Virtualized Data Centers using Application Performance Models

The rapid growth of virtualized data centers and cloud hosting services is making the management of physical resources such as CPU, memory, and I/O bandwidth in data center servers increasingly important. Server management now involves dealing with multiple dissimilar applications with varying Service-Level-Agreements (SLAs) and multiple resource dimensions. The multiplicity and diversity of resources and applications are rendering administrative tasks more complex and challenging. This thesis aimed to develop a framework and techniques that would help substantially reduce data center management complexity. We specifically addressed two crucial data center operations. First, we precisely estimated capacity requirements of client virtual machines (VMs) while renting server space in cloud environment. Second, we proposed a systematic process to efficiently allocate physical resources to hosted VMs in a data center. To realize these dual objectives, accurately capturing the effects of resource allocations on application performance is vital. The benefits of accurate application performance modeling are multifold. Cloud users can size their VMs appropriately and pay only for the resources that they need; service providers can also offer a new charging model based on the VMs performance instead of their configured sizes. As a result, clients will pay exactly for the performance they are actually experiencing; on the other hand, administrators will be able to maximize their total revenue by utilizing application performance models and SLAs. This thesis made the following contributions. First, we identified resource control parameters crucial for distributing physical resources and characterizing contention for virtualized applications in a shared hosting environment. Second, we explored several modeling techniques and confirmed the suitability of two machine learning tools, Artificial Neural Network and Support Vector Machine, to accurately model the performance of virtualized applications. Moreover, we suggested and evaluated modeling optimizations necessary to improve prediction accuracy when using these modeling tools. Third, we presented an approach to optimal VM sizing by employing the performance models we created. Finally, we proposed a revenue-driven resource allocation algorithm which maximizes the SLA-generated revenue for a data center.

Geospatial Data Indexing Analysis and Visualization via Web Services with Autonomic Resource Management

With the exponential growth of the usage of web-based map services, the web GIS application has become more and more popular. Spatial data index, search, analysis, visualization and the resource management of such services are becoming increasingly important to deliver user-desired Quality of Service. First, spatial indexing is typically time-consuming and is not available to end-users. To address this, we introduce TerraFly sksOpen, an open-sourced an Online Indexing and Querying System for Big Geospatial Data. Integrated with the TerraFly Geospatial database [1-9], sksOpen is an efficient indexing and query engine for processing Top-k Spatial Boolean Queries. Further, we provide ergonomic visualization of query results on interactive maps to facilitate the user’s data analysis. Second, due to the highly complex and dynamic nature of GIS systems, it is quite challenging for the end users to quickly understand and analyze the spatial data, and to efficiently share their own data and analysis results with others. Built on the TerraFly Geo spatial database, TerraFly GeoCloud is an extra layer running upon the TerraFly map and can efficiently support many different visualization functions and spatial data analysis models. Furthermore, users can create unique URLs to visualize and share the analysis results. TerraFly GeoCloud also enables the MapQL technology to customize map visualization using SQL-like statements [10]. Third, map systems often serve dynamic web workloads and involve multiple CPU and I/O intensive tiers, which make it challenging to meet the response time targets of map requests while using the resources efficiently. Virtualization facilitates the deployment of web map services and improves their resource utilization through encapsulation and consolidation. Autonomic resource management allows resources to be automatically provisioned to a map service and its internal tiers on demand. v-TerraFly are techniques to predict the demand of map workloads online and optimize resource allocations, considering both response time and data freshness as the QoS target. The proposed v-TerraFly system is prototyped on TerraFly, a production web map service, and evaluated using real TerraFly workloads. The results show that v-TerraFly can accurately predict the workload demands: 18.91% more accurate; and efficiently allocate resources to meet the QoS target: improves the QoS by 26.19% and saves resource usages by 20.83% compared to traditional peak load-based resource allocation.