Globalisation has led to an increased need for MNEs to expand their operations and appoint expatriate managers in foreign countries. The failure of these expatriates has been identified as a major concern for multinationals, as failure rates range between 30 and 40 percent and may cost an enterprise up to US$1.2 million. Many studies have found the inability of the trailing spouse to adjust in the host country to be the most common cause of expatriate failure. As they are more immersed in the host-country’s culture than the expatriate, spouses may experience severe culture shock, isolation, and stress, and need to come to terms with the various differences in healthcare systems, housing arrangements, cuisine, language and gender roles. The adjustment of the trailing spouse has been found to be significantly related to the success of an international assignment, making enterprise-assistance programmes essential. The aim of this study was to determine the preparation, training and support requirements of trailing spouses in order for MNEs to reduce the likelihood of failure amongst their assignees. A literature study was conducted in order to investigate the causes of failure and to identify best practices for the preparation, training and support of spouses accompanying expatriates on assignment. The literature study was then followed by an empirical study, in which a link to an online questionnaire was distributed through MNEs and online forums to trailing spouses currently on assignment. Spouses were required to answer demographic questions and give their opinion regarding various preparation, training and support requirements by rating their level of agreement, on a four-point Likert Scale, as to whether or not they required any of the listed items for adjustment and whether or not these were provided to them by the enterprise. The data was then analysed using a factor analysis, Cronbach’s Alpha, a t-test, paired t-test, an analysis of the mean scores and other inferential statistics. This study has revealed that enterprises are not providing expatriate trailing spouses with the preparation, training and support that they require, and has identified what preparation, training and support is required by spouses in order to adjust in the host country. Recommendations have been made based on these findings to assist enterprises in developing preparation and training programmes and providing adequate support to spouses prior to and during the assignment. It is important to remember that the key to expatriate success is the trailing spouse’s adjustment. These recommendations should therefore enable MNEs to design and implement expatriate programmes and processes that take into consideration the needs of trailing spouses in order to reduce the likelihood of expatriate failure. / Dissertation (MCom)-- University of Pretoria, 2016. / Business Management / Unrestricted

Habitat loss is the leading cause of species extinction. Protecting and managing habitat quality is vital to an organism’s persistence, and essential to endangered species recovery. We conducted an investigation of habitat quality and potential impacts from climate change to piping plovers (Charadrius melodius) breeding on the barrier island ecosystem of New York, during 2003-2005. Our first step in this analysis was to examined the relationship between two common measures of habitat quality: density and productivity (Chapter 1). We used both central and limiting tendency data analysis to find that density significantly limited productivity across many spatial scales, especially broader scales. Our analysis of plover habitat quality (Chapter 2) focused on (1) identifying the spatial scaling of plovers to their environment; (2) determining the relative importance of four aspects of the environment (land cover, predation, management, and disturbance); and (3) determining the key environmental variables that influence productivity. We found that plover habitat selection occurred within a narrow range of spatial scales that was unique to each environmental variable. Further, we found that management and predation variables influenced population-level productivity relatively more than land cover and disturbance. Environmental variables with a significant positive influence on habitat quality were land management units, plover conservation educational signs, and symbolic string fencing erected around plover nesting areas. We found a significant negative relationship among density of people on ocean beaches, herring gull density, and land cover degradation. To quantify possible impact to plover habitat from future climate change (Chapter 3), we examined the extent of habitat change resulting from different estimates of sea-level rise (SLR) and storminess over the next 100 years. We found that the particular SLR estimate, habitat response, and storm type used to model climate changes influenced the amount of potential habitat available. Importantly, we observed synergy between SLR and storms resulting in the increasing impact of SLR and storms on plover habitat over the next 100 years. Finally, we found that coastal development contributed considerably to habitat loss when combined with climate changes. Our findings raise concerns regarding current plover recovery goals and management strategies. Density-dependent productivity may threaten the goal of a joint increase in both plover population and productivity. We advocate density monitoring and allocation of alternative nesting areas to provide the relief of possible high-density limitations. Based on our analysis of habitat selection and climate change threats, we call for a shift in management focus away from known breeding areas, towards ecosystem processes. Long-term conservation of piping plover habitat quality is more likely through protecting and promoting natural barrier island dynamics (i.e. overwash and migration) and minimizing human development on the barrier islands of New York State.

Water resources systems are designed to operate under a wide range of potential climate conditions. Traditionally, systems have been designed using stationarity-based methods. Stationarity is the assumption that the climate varies within an envelope of variability, implying that future variability will be similar to past variability. Due to anthropogenic climate change, the credibility of the stationarity-based assumptions has been reduced. In response, climate change assessments have been developed to quantify the potential impacts due to climatic change. While these methods quantify potential changes, they lack the probabilistic information that is needed for a risk-based approach to decision-analysis. This dissertation seeks to answer two crucial questions. First, what is the best way to evaluate water resource systems given uncertainty due to climate change? Second, what role should climate projections or scenarios play in water resources evaluation? A decision analytic approach is applied that begins by considering system decisions and proceeds to determine the information relevant to decision making. Climate based predictor variables are used to predict system hazards using a climate response function. The function is used with climate probability distributions to determine metrics of system robustness and risk. Climate projections and additional sources of climate information are used to develop conditional probability distributions for future climate conditions. The robustness and risk metrics are used to determine decision sensitivity to assumptions about future climate conditions. The methodology is applied within the context of the International Upper Great Lakes Study, which sought to determine a new regulation plan for the releases from Lake Superior that would perform better than the current regulation plan and be more robust to potential future climate change. The methodology clarifies the value of climate related assumptions and the value of GCM projections to the regulation plan decision. The approach presented in this dissertation represents a significant advancement in accounting for potential climate change in water resources decision making. The approach evaluates risk and robustness in a probabilistic context that is familiar to decision makers and evaluates the relevance of additional climate information to decisions.

The Thung Yai Naresuan (East) Wildlife sanctuary (TYNE) is clarified as the Tiger Conservation Landscape of Global Priority and also a stronghold for other endangered and threaten species. Although, UNESCO designated this area, the cores of the Western Forest Complex (WEFCOM), as a Natural World Heritage Site in 1991, this wildlife has been threatened by habitat alteration, prey depletion, and direct killing. Yet, the information on impact of human activities and wildlife status that is needed to guild forest authorities to develop conservation strategies remains challenging. The goal of this dissertation was to increase understanding of tiger, other main predators, prey status, and also impact of human activities in the sanctuary. In the TYNE, the globally endangered species were observed including Asiatic Elephant (Elephas maximus), Tiger (Panthera tigris), Malayan Tapir (Tapirus indicus), Dhole (Cuon alpines), and Malayan Pangolin (Manis javanica). Spatially explicit capture-recapture approach estimated tiger density at 1.4-1.6 tigers/100 km2 and leopard density at 0.7-0.8 leopards/100 km2, which indicates that there might be 27±10 tigers (95% CL range from 11-46) and around 12±4 leopards (95% CL range from 8-19) roaming in the area around 1,596 km2 in TYNE. The large predators like tigers, leopards, and dholes co-occurred in the area with the combination of both spatial and temporal partitioning due to differences in predator and prey activity and low overlap in space use correlated to their prey preferences. Prey availability, human settlement areas, and human disturbance activities are the key limiting factors for their distribution and space-use. The habitat use of tiger and leopard demonstrated that the population distribution was limited in the central to the eastern part of the TYNE, while the local people occupied the west with high disturbance activities. The activities by local people in TYNE were varied and the impacts of the disturbance were complex. Slash and burn, livestock, tree cutting, and poaching appeared to be the major influence wildlife abundance and habitat around the settlement areas. The results of this study stress the need for the further conservation and management to maintain wildlife distribution and populations in the future. Better scientific understanding of wildlife biology, ecology, and social sciences would help to deal with the conservation and management issues facing the local communities and natural resources in Thung Yai Naresuan (East) Wildlife Sanctuary.

Maintaining flows and quality of water resources is critical to support ecosystem services and consumptive needs. Understanding impacts of changes in climate and land use on ecohydrologic processes in a watershed is vital to sustaining water resources for multiple uses. This study completes a continental and regional scale assessment using statistical and simulation modeling to investigate ecohydrologic impacts within watershed systems. Watersheds across the continental United States have diverse hydrogeomorphic characters, mean temperatures, soil moistures, precipitation and evaporation patterns that influence runoff processes. Changes in climate affect runoff by impacting available soil moisture, evaporation, precipitation and vegetative patterns. A one percent increase in annual soil moisture may cause a five percent increase in runoff in watersheds across the continent. Low soil moisture and high temperatures influence runoff patterns in specific regions. Spring runoff is increased by the influence Spring soil moisture, Winter and Spring evaporation, and Winter and Spring evaporation. Spring runoff is decreased by increases in Winter and Spring temperatures and increases in the vegetation index. Winter runoff is affected by maximum vegetative index, temperature, soil moisture, evaporation and precipitation. Contributing factors to runoff are influenced by geomorphic and seasonal variations requiring strategies that are site-specific and use system-wide information. Regional scale watershed analysis investigates the influence of landscape metrics on temporal streamflow processes in multiple gauged watersheds in Massachusetts, U.S.A. Time of concentration, recession coefficient, base flow index, and peak flow are hydrologic metrics used to relate to landscape metrics derived using FRAGSTAT software. Peak flow increases with increasing perimeter-area fractal dimensions, and Contagion index and decreases as Landscape Shape Index increases. There was an increasing trend in the fractal dimension over time indicative of more complex shape of patches in watershed. Base flow index and recession coefficient fluctuated from low to high decreasing recently. This could be indicative of open space legislation, conservation efforts and reforestation within the state in the last ten years. Coastal systems provide valuable ecosystem services and are vulnerable to impacts of changes in climate and continental land use patterns. Effects of land use and climate change on runoff, suspended sediments, total nitrogen and total phosphorus are simulated for coastal watersheds around the Boston Bay ecosystem. The SWAT (Soil and Water Assessment Tool) model, a continuous-time, semi distributed, process-based model, is used to simulate the watershed ecohydrologic process affecting coastal bodies. Urbanization in watersheds increased runoff by as much as 80% from the baseline. Land use change poses a major threat to water quality impacts affecting coastal ecosystems. Total nitrogen increased average of 53.8% with conservative changes in climate and land use. Total phosphorus increased an average of 57.3% with conservative changes in land use and climate change. Climate change alone causes up to 40% increase in runoff and when combined with a 3.25% increase in urban development runoff increased an average of 114%. Coastal ecosystems are impacted by nutrient runoff from watersheds. Continued urbanization and changes in climate will increase total nitrogen, total phosphorus and suspended sediments in coastal ecosystems. Continental scale runoff is affected by soil moisture and vegetative cover. Cover crops, low tillage farm practices and natural vegetation contribute to less runoff. Developing policies that encourage protection of soil structure could minimize runoff and aid in maintaining sustainable water resources. Best Management Practices and Low impact development at the national level with continued stormwater legislation directed towards sustainable land use policy will improve water quantity and quality. Fragmentation observed in Massachusetts increases the number of urban parcels and decreases the size of forested areas. Faster runoff patterns are observed but recent land management may be changing this runoff pattern. Municipal and state zoning ordinance to preserve open space and large forest patches will restrict urban growth to specific regions of a watershed. This could improve quantities of water available to ecosystems. Increases in total nitrogen, phosphorus and suspended sediments to coastal ecosystems can be minimized with use of riparian buffers and Best Management Practices within coastal watersheds. Urbanization and climate change threatens coastal ecosystems and national policy to preserve and restrict development of coastal areas will preserve coastal ecosystem services.

Uncertainty in climate change plays a major role in watershed systems. The increase in variability and intensity in temperature and precipitation affects hydrologic cycle in spatial and temporal dimensions. Predicting uncertainty in climate change impacts on watershed systems can help to understand future climate-induced risk on watershed systems and is essential for designing policies for mitigation and adaptation. Modeling the temporal patterns of uncertainties is assessed in the New England region for temperature and precipitation patterns over a long term. The regional uncertainty is modeled using Python scripting and GIS to analyze spatial patterns of climate change uncertainties over space and time. The results show that the regional uncertainty is significant in variation for changes in location and climatic scenarios. Watershed response to climate change under future scenarios is assessed using hydrologic simulation modeling for the Connecticut River watershed. Changes in water budgets are assessed for each of the subbasins using spatial analysis and process modeling using GIS and Soil and Water Assessment tool (SWAT). The results show that climate change uncertainty in precipitation and temperature can lead to uncertainty in both quantity and quality in the watershed system. A spatiotemporal, dynamic model was applied to subbasins within the Chicopee River Watershed to estimate climate change uncertainty impacts at a micro scale. These changes were assessed relative to changes in land use and climatic change. The results show that there is a significant potential for climate change to increase evaporation, watershed runoff and soil erosion rates and this varied with climate change uncertainty. Finally, water sustainability gradient analysis was applied to the Volga River watershed in Russia to assess potential climate change impacts by combining with downscaled Global Circulation Model estimates and spatial assessment. Results show that runoff and evapotranspiration are projected to increase with potential for more localized floods and drought events effecting both water resources and food supply. Overall results show that climate change uncertainty can impact watershed systems and spatial and temporal assessments is important for developing strategies for adaptation to climatic change conditions at local and regional scales.

In addition to being one of the poorest countries in Africa, Tanzania is considered the 13th most vulnerable nation in the world to climate change and climate variability. Currently over 63% of Tanzanians have no access to the national power grid. Instead they rely on biomass and kerosene lamps to provide energy in their homes. In addition, rural youth in Tanzania have limited occupational pursuits other than subsistence farming (both formal and informal). Utilizing a case study approach, this research qualitatively explores the effects of energy access in the form of solar PV for those seeking to secure this public good at a household-level. Face-to-face interviews conducted in the coastal region of Tanzania concentrated on understanding rationales for adopting off-grid energy (adoption rationales), particularly respondent's 'Awareness', 'Motivation' and selected 'Pathways' (the AMP Framework). High rates of rural poverty highlight systemic lack of energy access in Tanzania. In contrast, livelihood transformations through solar PV were observed in the case to couple with energy access. Indicators of improvement in living standards were observed to have cascading influence on other adopters which, in turn, encouraged further uptake. This innovative adoption lead to decreased pressure on the surrounding ecosystems, but environmental factors did not influence initial adoption rationales. Reflecting on the findings, the author develops a framework for better understanding of the role private actors take in transitions from to off-grid energy access in Africa. Reflecting on the case observations, particularly how respondents sought shape the flow of events independent, and sometimes in spite of, the State, the framework extends current understandings of nodes of change in rural communities and provides a more extensive exploration of behavioural theories (the AMP Framework and Diffusion Theory). Novel connections are made conceptually with emerging nodes of change and decision-making theories of change to provide fresh extension of these approaches to understanding poverty arrangements in Africa and what researchers and decision makers might need to consider for targeted interventions towards universal energy access on the continent. The thesis concludes with a range of principles for energy access in Africa distilled from the observations and framework developed. They include environmental principles of sustainable resource management and socioecological balance, social principles of equality and participation, and economic principles of access and stability.

Across the country, government agencies, NGOs and communities are coming together to manage their forests to reduce the risk of wildfire in the wildland urban interface. However, to have long-term impacts, communities must have the foundation necessary to continue these efforts after special programs have moved on or outside funding has been exhausted. Social capital may be one important component in sustaining wildfire preparedness as actions to increase wildfire preparedness are affected by decisions made at the individual and the community level. This study focuses on the essential components of social capital that are crucial in affecting community participation in wildfire preparedness and mitigation. In order to understand these relationships, a pilot study was developed to explore how perceptions of community preparedness efforts vary geographically in different ecosystems, forest types and USDA Forest Service regions at the national scale. Additionally, the study explores differences in perceptions of community preparedness between stakeholder groups, such as residents, fire officials, land managers, business/community leaders, and environmental advocates. Since preparedness involves both individual actions at the residential scale, as well as community actions such as planning and zoning, separate survey instruments were developed for local residents and community and government agency leaders. The study also analyzed the effect of variables like place attachment, past experience and previous involvement with wildfires, length and type of stay in the community, and affiliation with local organizations on creation or enhancement social capital as well as wildfire preparedness in the community in terms of change in defensible space actions, and change in people’ attitudes, understanding and outlook towards mitigation efforts over the years. This research has incorporated a mixed methods approach integrating both quantitative and qualitative research techniques because of the dual aspect of the research questions regarding the measure of social capital as well as the level of preparedness in the communities. Results from the pilot study conducted in six communities across the United States are discussed as the final outcome of this larger national scale project. Ultimately, the study provides insights about the underlying community variables that influence community preparedness actions and awareness about wildfire.

Computational demands are continuously increasing, driven by the growing resource demands of applications. At the era of big-data, big-scale applications, and real-time applications, there is an enormous need for quick processing of big amounts of data. To meet these demands, computer systems have shifted towards multi-core solutions. Technology scaling has allowed the incorporation of even larger numbers of transistors and cores into chips. Nevertheless, area constrains, power consumption limitations, and thermal dissipation limit the ability to design and sustain ever increasing chips. To overpassthese limitations, system designers have turned towards the usage of hardware accelerators. These accelerators can take the form of modules attached to each core of a multi-core system, forming a network on chip of cores with attached accelerators. Another option of hardware accelerators are Graphics Processing Units (GPUs). GPUs can be connected through a host-device model with a general purpose system, and are used to off-load parts of a workload to them. Additionally, accelerators can be functionality dedicated units. They can be part of a chip and the main processor can offload specific workloads to the hardware accelerator unit.In this dissertation we present: (a) a microcoded synchronization mechanism for systems with hardware accelerators that provide distributed shared memory, (b) a Streaming Multiprocessor (SM) allocation policy for single application execution on GPUs, (c) an SM allocation policy for concurrent applications that execute on GPUs, and (d) a framework to map neural network (NN) weights to approximate multiplier accuracy levels. Theaforementioned mechanisms coexist in the resource management domain. Specifically, the methodologies introduce ways to boost system performance by using hardware accelerators. In tandem with improved performance, the methodologies explore and balance trade-offs that the use of hardware accelerators introduce.

Purpose: The purpose of this study is to gauge the effects of challenge and hindrance stressors as well as three high-performance work practices (HPWPs) such as training, empowerment and rewards on work engagement (WE) and turnover intentions (TI). This study also tests customer orientation (COR) as a moderator of these relationships. Design/methodology/approach: Data gathered from frontline hotel employees in Northern Cyprus in two time periods with a time lag of two weeks were used to test the relationships. Findings: The results suggest that both challenge and hindrance stressors heighten TI and empowerment fosters WE. Rewards alleviate TI. More importantly, COR acts as a moderator of the effects of challenge and hindrance stressors as well as training, empowerment and rewards on WE and TI. Practical implications: Management needs to hire employees high on COR and develop training programs that boost employees’ customer-oriented behaviors. Employees should also be allowed to craft the level of job demands and resources as long as the work is congruent with management expectations. Originality/value: This study contributes to the extant hospitality knowledge by testing COR as a moderator of the effects of challenge and hindrance stressors and HPWPs on WE and TI.