我國經濟發展過程中，工業部門係我國經濟成長的重要推手。為推動工業發展，由政府主動編定工業區，早期皆已出售方式提供土地，至80年代因產業外移，致使工業區土地滯銷，為去化工業區土地，由政府以優惠政策提供廠商較低價之出租優惠方案及貼近市場行情之出售優惠方案，惟出售之土地並未要求購地者須限期建廠，本研究目的是為了解影響廠商建廠之因素為何，回顧工業區位理論及過去製造業區位選擇相關研究，以複迴歸實證影響廠商之建廠因素。 研究結果顯示影響廠商建廠因素主要為工業區整體環境，包含工業區年產值、廠商家數、公共設施面積、地價、引進產業類別等，除此之外，二級產業人均薪資、工業支出及政府政策等亦對於廠商建廠有影響。故針對目前未建廠之土地，主管機關應儘速提出改善計畫，促使廠商儘速建廠；另未來新開發工業區時，應於規劃前期詳實調查產業需求、定價策略，並訂定限期完成建廠使用，提升整體工業區土地使用效率。 / In the process of economic development, the industrial sector is an important promoter of economic growth in Taiwan. In order to promote industrial development, the government takes the initiative to set up industrial areas. Due to offshore migration of Manufacturing Industry, the industrial lands were slow-selling in 1990. In order to closing out the slow-selling industrial land, the government provided manufacturers for preferential lease and sell projects. But the government didn’t regulate manufacturers to set a time limit about constructing factory building. The purpose of this study is to understand the factors that affect the manufacturers to build factories. This study reviews the theory of industrial location and the past manufacturing location selection related research and uses multiple regression analysis to understand the factors that affect the manufacturers to build factories. The research results show that the main factors is industrial area environment, including industrial annual production value, number of manufacturers, industrial area of public facilities, industrial land price and industrial classification, in addition, the manufacturing industry per capita salary, industrial expenditure and government policy also affect the manufacturers to build factories. As a result, the government should raise plan of improvement to urge manufacturers to build factories. If the government develops new industrial areas in the future, it is important to investigate industrial demand on manufacturing, land price strategy and Set the deadline to complete the construction that will enhance the efficiency of land use in industrial areas.

The objective of this study was to provide an adequate model of the k-factor for scientific radio planning in South Africa for terrestrial propagation. An extensive literature survey played an essential role in the research and provided verification and confirmation for the novelty of the research on historical grounds. The approach of the research was initially structured around theoretical analysis of existing data, which resulted from the work of J. W. Nel. The search for analytical models was extended further to empirical studies of primary data obtained from the South African Weather Service. The methodology of the research was based on software technology, which provided new tools and opportunities to process data effectively and to visualise the results in an innovative manner by a means of digital terrain maps (DTMs) and spreadsheet graphics. MINITAB / Thesis (PhD)--University of Pretoria, 2005. / Electrical, Electronic and Computer Engineering / unrestricted

This research investigates political risk in the context of service offshoring and the corresponding impact on risk management decisions. The first stage of the study uses the Repertory Grid Technique (RGT), to explore key post-contract political risks experiences within offshore outsourcing activities. Twelve key political risks affecting offshore outsourcing decisions are identified, and the moderating effect of offshoring activity types (BPO, ITO or KPO) on political risk exposure and impact perceptions is highlighted. The research also explores the conditioning effect of industry specific exposure to political risk and enhances the explanatory ability of the Transaction Cost Economics (TCE) constructs, offering a re-operationalization of the political risk component of external uncertainty. The second stage of the research introduces a series of hypotheses between offshoring flows and political risk profiles, and applies multiple regression to analyse political risk affecting offshore activities in low cost countries across contract-based offshoring engagements and FDI. The findings highlight that political risk is a genuine business concern for offshore contract-based outsourcing modalities, and identify concerns with Intellectual Property protection, Quality of Bureaucracy and Corruption as key considerations affecting location decisions in low-cost countries. The research further suggests a positive relationship between strong country level institutional and regulatory systems and high knowledge content in offshoring engagements. From a practical perspective, the research highlights the need for managerial tools to determine diversified firm and industry specific political risk impact on global service outsourcing engagements. The key practical contribution is the development of differentiated political risk typologies that can capture the nuances of external risks in offshoring, allowing for more accurate risk assessment of offshoring decisions.

Orientation: Perceived Talent Management Practices, Perceived Organizational Support and Perceived Supervisor Support are distinct but related constructs, and all of them appear to influence an employee’s intention to quit an organization. Research Purpose – The objective of this study was to investigate Generation Y’s perception of an organization’s talent management practices and to determine how it relates to their intention to quit the organization. In essence, the study aims to establish possible relationships of four constructs: Perceived Talent Management Practices, Perceived Organizational Support (POS), Perceived Supervisor Support (PSS) and Intention to Quit. The mediating/moderating characteristics of POS and PSS on the relationship between Perceived Talent Management Practices and Intention to Quit are also investigated. Motivation for the study – Talent is the new tipping point in corporate success. It has the potential to be the origin of an organisation’s demise or the reason for its continuous success. A concept that exuberates this much potential for both disaster and prosperity validates some examination into its protection. Research design, approach and method – Four Instruments (HCI Assessment of Talent Practices (HCI), Survey of Perceived Organizational Support (SPOS), Survey of Perceived Supervisor Support and an Intention to Quit Scale) was administered to a convenience sample of 135 employees from a population of 450 employees working in three provinces in which the organization was operational. Pearson product-moment correlation analysis and Multiple Regression analysis were used to investigate the structure of the integrated conceptual model on Perceived Talent Management Practices, POS, PSS and Intention to Quit. Main findings - The findings of this study indicates a strong practically significant positive correlation (r(df = 135; p < 0.001) = 0.724, large effect). between Perceived Organizational Support (POS) and Perceived Supervisor Support (PSS). A strong practically significant positive relationship (r(df = 135; p < 0.001) = 0.640, large effect) was found between Perceived Organizational Support (POS) and the employee’s perception of the organization’s Talent Practices. The study confirmed a strong practically significant negative relationship (r(df = 135; p < 0.001) =-0.569, large effect) between Perceived Organizational Support (POS) and the employee’s Intention to Quit. A medium practically significant negative relationship (r(df = 135; p < 0.001) = -0.436, medium effect) was established between Intention to Quit and Perceived Supervisor Support (PSS). This study determined a medium practically significant positive correlation (r(df = 135; p < 0.001) = 0.471, medium effect) between Perceived Supervisor Support (PSS) and the employee’s perception of the organization’s Talent Practices. The findings also establishes a medium practically significant negative relationship (r(df = 135; p < 0.001) = -0.477, medium effect) exists between employees’ perception of the organization’s Talent Practices and their intention to quit the organization. Multiple regression confirmed that neither POS nor PSS mediates/moderates the relationship between Perceived Talent Management Practices and Intention to Quit. Practical/Managerial Implications - Cappelli (2008) stated that paradigms only come undone when they ”encounter problems that they cannot address. But before the old paradigm is overthrown, there must be an alternative, one that describes new developments better than the old one does” (Cappelli, 2008). This study provides evidence that management can use paradigm shifts as a talent retention strategy where the creation of a high perception of talent management practices will result in a lower intent to leave the organization. Contribution: The findings of this study indicate a positive relationship between perceived talent management practices, POS and PSS. The study also established a positive relationship between POS and PSS. A negative relationship was confirmed between POS, PSS and Perceived Talent Management Practices in relation to Intention to Quit. / Dissertation (MCom)--University of Pretoria, 2010. / Human Resource Management / unrestricted

Voter decision-making about which political party to support in the elections is a very complex process. One of the key factors influencing our voting behaviour is the effect of particular candidates in terms of their local activities. Many Czech and also foreign studies show that candidates gain significantly higher preferences in the municipality of their residence and its surroundings. Within the analyzed parliamentary elections, this is reflected not only by the territorial concentration of preferential votes, but also by higher local electoral support of the political parties or movements represented by these candidates. This diploma thesis examines, among other things, differences in the strength of the described effect (technically called the friends and neighbours effect) between candidates from different political parties and in different regions of Czechia. Quantitative research has shown greater local strength and spatial extent of friends and neighbours effect for leading candidates from non-metropolitan areas who have experiences from local or regional politics, such as mayors or regional councilors. In the 2017 parliamentary elections, the friends and neighbours effect mostly influenced the spatial patterns of electoral support of the KDU-ČSL and the STAN movement and on the other...

Denna studie undersöker huruvida studier på fristående gymnasieskola påverkar sannolikheten att påbörja vidareutbildning på högskola eller universitet. Detta studeras genom användande av paneldata över åren 2008-2021 för samtliga 290 kommuner i Sverige. För att analysera datan används metoden multipel regressionsanalys både med och utan fixa effekter för år och kommuner. De prediktorer som hålls konstanta i studien för att mäta effekten av andel elever i friskola på övergång till vidare studier är grundskolebetyg, unga i ekonomiskt utsatta hushåll, utländsk bakgrund och lågutbildade föräldrar. Resultatet visar inledningsvis, vid både enkel linjär regression och vid hänsyn till årsfixa effekter, en statistisk signifikant positiv effekt på övergång till högskola och universitet. Med det sagt försvinner både det positiva sambandet och den statistiska signifikansen när även kommunfixa effekter inkluderas. / This study examines whether the proportion of students in private upper secondary school affects the proportion of students at college or university. This is studied using panel data over the years 2008-2021 regarding all 290 municipalities in Sweden. The data is used for the multiple regression analysis method, both with and without fixed effects regarding years and municipalities. The predictors used in the study to measure the effect of the proportion of students in independent schools are primary school grades, youth in economically disadvantaged households, foreign backgrounds, and low-educated parents. The results show that the proportion of students in private upper secondary schools initially, using simple linear regression and yearly fixed effects, has a statistically significant positive effect on further studies. With that said, the positive effect fades away when the fixed effects for municipalities are added. In addition, the result is no longer statistically significant.

Cardiovascular (CV) patients receive one-third of the care and account for $444 billion of the health care costs in the United States. The cardiovascular service line (CVSL) in hospitals contributes to the profitability influenced by elements of resource dependence theory (RDT). The purpose of this study was to understand whether the regression model of hospital characteristics and outcomes would predict profitability in a CVSL through the cost-to-charge ratio (CCR). The use of a general linear model and multiple regression analysis to examine the 2012 National Inpatient Sample from the Healthcare Cost and Utilization Project allowed estimates from a weighted sample of discharges from all hospitals in participating states. Transformation to dichotomous, independent variables preceded analysis of CV-conditions by discharges. An analysis of variance included in the validated model of grouped strata predicted a level of profitability through the CCR, (4, 509) = 129.83, p < .001, R2 = .505. Mortality was not a significant predictor in the regression model. The 3 characteristic variables with an inverse relationship to the CCR, which resulted in favorable profitability for CVSL, included large, academic, and private for-profit institutions. Prior research aligns well to the study, which emphasized the importance of RDT. Leaders in health care organizations may choose to employ decision making that is dependent upon big data and reference to internal resources to achieve reform expectations. Predictive modeling may aid in the strategic direction of health care organizations. Social implications of this study include hospitals striving to enhance the value proposition by centering care activities around the person over rationing finite resources by condition.

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Depression är ett psykiatriskt tillstånd som påför individen lidande och kräver samhällsekonomiska resurser. Med grund i depressionens höga prevalens är en effektiv behandling eftersträvansvärt. Internetbaserad kognitiv beteendeterapi (iKBT) har visats vara effektiv vid depression. Vetskap om vilka behandlingsfaktorer som predicerar behandlingsutfallet möjliggör att optimera behandlingen. Syfte med föreliggande studie var att undersöka om emotionell attityd till behandlingen och förståelse för behandlingens innehåll predicerar behandlingsutfallet i iKBT för depression och vilken som har starkast prediktionsvärde. Totalt 91 patienters arkiverade internetbehandlingar kodades med studiens framtagna kodningsmanual. Resultaten från två multipla regressionsanalyser visar att emotionell attityd till behandlingen signifikant predicerar 20,6% av behandlingsutfallet och att förståelse för behandlingens innehåll predicerar 3,9% men inte signifikant. Emotionell attityd till behandlingen utgör den starkaste prediktorn för behandlingsutfallet men inte en signifikant starkare prediktor. I praktiken innebär resultaten att patientens emotionella attityd till behandlingen kan användas som ett varningstecken gällande behandlingsutfallet. Framtida forskning behövs för att säkerställa konstrukten och för att vidareutveckla kodningsmanualen. / Depression is a psychiatric condition that causes the individual suffering and requires socio-economic resources. Due to high prevalence of depression, effective treatment is desirable. Internet-based cognitive behavioral therapy (ICBT) has been shown to be effective for depression. Knowledge of which treatment factors that predict treatment outcome makes it possible to optimize the treatment. The purpose of the present study was to investigate whether emotional attitude towards the treatment and understanding of the treatment content predicts the treatment outcome in ICBT for depression and which has the strongest predictive value. A total of 91 patients’ archived internet-based treatments were coded with the developed coding manual in the present study. The results from two multiple regression analyzes show that emotional attitude towards the treatment significantly predicts 20,6% of the treatment outcome and that understanding of the treatment content predicts 3,9% but not significantly. Emotional attitude towards the treatment constitutes the strongest predictor of the treatment outcome, but not a significantly stronger predictor. In practice the results imply that the patient's emotional attitude towards the treatment can be used as a warning sign regarding the treatment outcome. Future research is needed to ensure the constructs and to further develop the coding manual.

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