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.

Rangeland profitability in the northern Gulf region of Queensland: understanding beef business complexity and the subsequent impact on land resource management and environmental outcomes

The farm-gate value of extensive beef production from the northern Gulf region of Queensland, Australia, is ~$150 million annually. Poor profitability and declining equity are common issues for most beef businesses in the region. The beef industry relies primarily on native pasture systems and studies continue to report a decline in the condition and productivity of important land types in the region. Governments and Natural Resource Management groups are investing significant resources to restore landscape health and productivity. Fundamental community expectations also include broader environmental outcomes such as reducing beef industry greenhouse gas emissions. Whole-of-business analysis results are presented from 18 extensive beef businesses (producers) to highlight the complex social and economic drivers of management decisions that impact on the natural resource and environment. Business analysis activities also focussed on improving enterprise performance. Profitability, herd performance and greenhouse emission benchmarks are documented and discussed.

A Multi-Agent Simulation of Retail Management Practices

We apply Agent-Based Modeling and Simulation (ABMS) to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship between human resource management practices and retail productivity. Despite the fact we are working within a relatively novel and complex domain, it is clear that intelligent agents do offer potential for developing organizational capabilities in the future. Our multi-disciplinary research team has worked with a UK department store to collect data and capture perceptions about operations from actors within departments. Based on this case study work, we have built a simulator that we present in this paper. We then use the simulator to gather empirical evidence regarding two specific management practices: empowerment and employee development.

An agent-based simulation of in-store customer experiences

Agent-based modelling and simulation offers a new and exciting way of understanding the world of work. In this paper we describe the development of an agent-based simulation model, designed to help to understand the relationship between human resource management practices and retail productivity. We report on the current development of our simulation model which includes new features concerning the evolution of customers over time. To test some of these features we have conducted a series of experiments dealing with customer pool sizes, standard and noise reduction modes, and the spread of the word of mouth. Our multidisciplinary research team draws upon expertise from work psychologists and computer scientists. Despite the fact we are working within a relatively novel and complex domain, it is clear that intelligent agents offer potential for fostering sustainable organisational capabilities in the future.

Living on Both Sides of the Fence: A Phenomenological Study of Human Resource Development Professionals as Downsizing Survivors and Strategic Human Resource Development Facilitators

This phenomenological study explored how HR professionals who identified themselves as facilitators of strategic HRD (SHRD) perceived the experience of being an organizational agent-downsizing survivor. Criterion and snowball sampling were used to recruit 15 participants for this study. A semi-structured interview guide was used to interview participants. Creswell’s (2007) simplified version of Moustakas’s (1994) Modification of the Stevick-Colaizzi-Keen Method of Analysis of Phenomenological Data was used to analyze the data. Four main themes and corresponding sub-themes emerged from an inductive data analysis. The four main themes were a) the emotionality of downsizing, b) feeling responsible, c) choice and control, and d) possibilities for growth. Participants perceived downsizing as an emotional organizational change event that required them to manage their own emotions while helping others do the same. They performed their roles within an organizational atmosphere that was perceived as chaotic and filled with apprehension, shock, and a sense of ongoing loss, sadness and grieving. They sometimes experienced guilt and doubt and felt deceptive for having to keep secrets from others when planning for downsizing. Participants felt a strong sense of responsibility to protect employees emotionally, balance employee and organizational interests, and try to ensure the best outcomes for both. Often being there for others meant that they put on their games faces and took care of themselves last. Participants spoke of the importance of choosing one’s attitude, being proactive rather than reactive, and finding ways to regain control in the midst of organizational crisis. They also perceived that although downsizing was emotionally difficult to go through that it provided possibilities for self, employee, and organizational growth.

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.

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.

El capital intelectual y su relación con la innovación en la universidad CES

En la sociedad actual del conocimiento las universidades tienen la responsabilidad de generar conocimiento e innovaciones para ofrecer soluciones a problemas de comunidades de interés. Para lograrlo las universidades deben enfocarse en su activo más importante, su capital intelectual. Hasta ahora las investigaciones relacionadas con el capital intelectual y la innovación en las universidades, son limitadas a pesar de ser un elemento estratégico para la dirección de estas organizaciones, ya que estos aspectos le representan valor en el tiempo, por tanto esta investigación busca establecer cuál es la relación que existe entre el capital intelectual y la innovación en la Universidad CES. El objetivo de esta investigación era identificar el grado de relación entre capital intelectual e innovación en la Universidad CES. La metodología del estudio, es un estudio cuantitativo, de tipo descriptivo explicativo, con un diseño transversal, que permitió establecer el efecto del capital intelectual sobre la innovación de la Universidad CES. La población del fueron los directivos, líderes de los grupos de investigación y los coordinadores de investigación de la Universidad CES. Según los resultados obtenidos, este estudio determinó que el capital intelectual no tiene una relación estadísticamente significativa con la innovación personal de la Universidad CES y se determinó también que las tres dimensiones del capital intelectual tienen una relación estadísticamente significativa con los resultados de la innovación en la Universidad CES. El principal aporte de este estudio fue ofrecer evidencias sobre el capital intelectual como una de las principales fuentes de innovación para la Universidad.

Modelo de competencias en TIC para el personal de una organización del sector eléctrico

La presente investigación pretendió incorporar el uso intensivo de TIC en los procedimientos establecidos y necesarios en los procesos de generación, distribución y control de la energía, lo que se expresa en un manual para el sistema de gestión humana de la organización analizada. La investigación partió de un levantamiento de un estado del arte, continuó con la realización de un análisis de actitudes y aptitudes de los colaboradores, basado en propuestas teóricas y mejores prácticas existentes del medio, y, por último, concluyó con un manual de gestión humana en el que se indican las competencias en los diferentes perfiles de la organización para el uso de TIC y su aplicación, con el propósito de alinearse con las perspectivas y objetivos de la organización analizada al tener como base la perdurabilidad y la competitividad de la misma.

Historical landmarks of decent work

Structured Abstract Purpose: this article systemizes the main historical milestones which led to the current concept of decent work and presents some implications for business. Approach: after presenting the scenario which gives a special meaning and importance to decent work, the historical landmarks are systematized until the definition of the Decent Work Agenda. Findings: Decent work is a concept that has evolved since the ILO Foundation in 1919 and had several important steps throughout its development: Philadelphia Declaration in 1944, ILO constitution update in 1946, Universal Declaration of Human Rights in 1948, Human Development Report, first edition in 1990, World Summit for Social Development in 1995, ILO Declaration on Fundamental Principles and Rights at Work in 1998, World Economic Forum in 1999, Global Compact in 2000, United Nations Millennium Declaration in 2000, ILO Declaration on Social Justice for a Fair Globalization in 2008, Global Jobs Compact in 2009, and inclusion in the 2030 Agenda for Sustainable Development. Throughout this development we can witness the refinement and operationalization of the concept, its institutionalization and its spread at political level, at least as an intention. Practical implications: the business area is a privileged forum to turn policies into practices and some examples are provided. Value: although decent work emerged in a very different social and economic scenario from the present time, it is claimed to be even more topical and relevant for the development of business and society today.