Thesis PlanB (M.S.)--University of Wisconsin--Stout, 2007. / Includes bibliographical references.

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Many factors contribute to business and entrepreneurial success. Raw material, labor, capital, and entrepreneurship are common inputs into most business organizations (enterprises). Entrepreneurship is the one factor of production that is needed in all successful business organizations. In Southeast Kentucky, there has been much attention given to small business development and the need for more entrepreneurship. However, little research has been done on the “self-directedness” and “emotional intelligence” that are needed for entrepreneurial success. This study investigated the possible association between self-directed learning and emotional intelligence with entrepreneurial success in a Southeast Kentucky group consisting of independent small business owners. This study also examined the relationships of age, gender, annual salaries, years of college education, and years of business experience with entrepreneurial success. The Learning Preference Assessment (LPA), the online BarOn EQ-i survey, and a short demographic survey were used in this study. Of the 250 entrepreneurs randomly selected, 104 responded by completing and returning the Self-Directed Learning Readiness Survey instrument (SDLRS) and the demographic questionnaire. Due to technical difficulties, the results from the online BarOn EQ-i survey were not available. The mean SDLRS score for all 104 entrepreneurs was 239.63. The minimum SDLRS score was 206, and the maximum SDLRS score was 284. Correlational analysis revealed a moderate-size, positive correlation of SDLRS with years of experience. More experience tended to go with higher test scores. Also, a moderate- to large-size positive correlation of SDLRS scores with sex (gender) was discovered. Males tended to score higher than females on the SDLRS. There was no correlation whatsoever of SDLRS scores with age. There was a large positive correlation of educational level with SDLRS scores. Individuals with higher education were associated with higher scores. Lastly, there was a very large correlation between SDLRS scores and income. All variables, except age and experience, were significant when compared to self-directedness.

This thesis examines barriers to the implementation of Lean production systems in China. The aim is to evaluate how implementation barriers affect a Lean production system, and whether they can be explained by Chinese national context factors. The thesis also aims to investigate the mechanisms by which such context factors influence the barriers. A socio-technical systems (STS) perspective is taken to interpret the relative importance of, and the interplay between, the social and the technical barriers to Lean implementation in China. To achieve the aims of the study, a multiple case study approach was chosen. I collected data at two Chinese plants of a globally-operating German automotive supplier in Suzhou and Changsha. As the main method of data collection, I conducted sixty qualitative interviews with Chinese and Western employees during a two month research trip to China. Using an iterative procedure of data collection and analysis, I developed a model that captures barriers to implementing Lean in China, the effects of these barriers on the production system, and influential context factors. Based on respondents perceptions, I identify six main implementation barriers, namely: High employee turnover , Weak supplier performance , Market conditions , Lack of Lean knowledge , Intercultural communication , and Work styles . The analysis highlights the effects of the barriers on specific elements of the Lean production system, and mechanisms by which the context factors influence the barriers. By exploring these mechanisms, I found strong evidence that Chinese context factors act as root causes or catalysts for the implementation barriers. The findings are corroborated through a comparison of the results obtained from the two locations in China, reports by Western and Chinese employees, and respondents at different hierarchical levels of the organisation. Through the Lean implementation model, this research contributes to the literatures on international Lean manufacturing and socio-technical systems. The study is the first to provide detailed empirical evidence of six main barriers, and to describe thoroughly why each barrier was a burden for Lean. The thesis also contributes to the Lean literature by demonstrating how the national context of China can create barriers and therefore play a significant role when implementing Lean in China. The central claim of the study is therefore that implementation barriers do exist in China and that a greater focus on these barriers is required in order to gain a better understanding of Lean implementation in this context. With regard to STS theory, the study highlights that the main perceived barriers to Lean implementation were situated within the social sub-system of Lean, and that some aspects of the barriers were created through a lack of joint optimisation of the social and the technical sub-system. The study therefore shows that STS theory is applicable to the context of Lean systems, and that it facilitates our understanding of barriers to the socio-technical Lean system. The study yields recommendations on managerial strategies for implementing Lean production in China, regarding people management as well as the adjustment of manufacturing facilities. A consideration of the national context can help practitioners to fully understand the causes of implementation barriers in China and, through this, to overcome these barriers. The thesis is concluded by reflecting on its limitations and suggestions for future research.

Thesis (M.Sc.(Agricultural Economics)) -- University of Limpopo, 2015 / Capital is one of the most important factors of production. In South Africa, among other things, lack of finance is one of the fundamental problems hampering production, productivity and income of rural farm households. Smallholder farmers in South Africa face many challenges in accessing financial services, despite the numerous reforms undertaken by the government to transform smallholder agriculture and improve its contribution to rural income, food security and employment. Many rural farmers have remained in poverty with limited capacity to access means of production like credit to militate against hunger and poverty. The aim of the study was to analyse the determinants of loan acquisition from the Land Bank of South Africa by smallholder farmers in peri-urban areas of Mopani District in Limpopo province. The objectives were to identify the constraints smallholder farmers face in accessing credit, to analyse the determinants of loan acquisition among smallholder farmers and to profile loan acquisitions of the farmers based on their socio-economic characteristics. The study used primary data, which was collected through a field survey. The method that was used to collect information was face-to-face interviews using structured questionnaires. The study employed the snowball sampling technique in its data collection strategy due to the fact that the population size was unknown due to the sensitivity of the study. Smallholder farmers were classified as beneficiaries and non-beneficiaries of the Land Bank. The total sample size comprised 62 smallholder farmers from the peri-urban areas of Tzaneen and Giyani of Mopani District, Limpopo province. The data was captured into the Statistical Package for Social Sciences (SPSS). Principal component analysis was carried out so as to get the principal factors or new uncorrelated variables that affect the ability of smallholder farmers to access credit from the Land bank and it was also use to profile the farmers according to the socio-economic variables. After carrying out the principal component analysis, probit analysis was then used to determine the relationship between the socio-economic characteristics of smallholder farmers and their ability to access credit. The principal component analysis (PCA) extracted important information from the data table and expressed the information as a set of new orthogonal variables called principal components. The PCA reduced the original variables to six (6) principal components. The six (6) principal components were labelled as; component 1 (Old-experience smallholder farmers), component 2 (business-oriented smallholder farmers), component 3 (part-time smallholder farmers), component 4 (smallholder farmers who receive grants based on gender), component 5 (smallholder farmers with fixed assets and their distance to the nearest town) and component 6 (smallholder farmers who belong to cooperatives). The smallholder farmers where classified and ranked into this six components based on their level of accessibility to agricultural credit from the Land Bank. A majority of the smallholder farmers involved in the study were ranked lowly on their level of accessibility to agricultural credit from the Land Bank; they were classified under the old and experienced smallholder farmers. Probit regression result indicated that the variables gender, education, farm income, pension, land size, cooperative, fixed assets and registered business had a significant positive influence on smallholder farmers’ accessing agricultural credit from the Land Bank in the last three years. In addition, marital status, farming experience, off-farm income, loose assets, farm commodity and farm record had an insignificant positive influence. The probit result also showed that the variables age had a significant negative influence on smallholder farmers’ accessing agricultural credit. In addition, household size, employment, distance to the nearest town and farmers’ association had an insignificant negative influence. Based on the results of the study, it is recommended that the government and other institutions could design agricultural credit programmes that are promptly responsive to the needs of the smallholdCapital is one of the most important factors of production. In South Africa, among other things, lack of finance is one of the fundamental problems hampering production, productivity and income of rural farm households. Smallholder farmers in South Africa face many challenges in accessing financial services, despite the numerous reforms undertaken by the government to transform smallholder agriculture and improve its contribution to rural income, food security and employment. Many rural farmers have remained in poverty with limited capacity to access means of production like credit to militate against hunger and poverty. The aim of the study was to analyse the determinants of loan acquisition from the Land Bank of South Africa by smallholder farmers in peri-urban areas of Mopani District in Limpopo province. The objectives were to identify the constraints smallholder farmers face in accessing credit, to analyse the determinants of loan acquisition among smallholder farmers and to profile loan acquisitions of the farmers based on their socio-economic characteristics. The study used primary data, which was collected through a field survey. The method that was used to collect information was face-to-face interviews using structured questionnaires. The study employed the snowball sampling technique in its data collection strategy due to the fact that the population size was unknown due to the sensitivity of the study. Smallholder farmers were classified as beneficiaries and non-beneficiaries of the Land Bank. The total sample size comprised 62 smallholder farmers from the peri-urban areas of Tzaneen and Giyani of Mopani District, Limpopo province. The data was captured into the Statistical Package for Social Sciences (SPSS). Principal component analysis was carried out so as to get the principal factors or new uncorrelated variables that affect the ability of smallholder farmers to access credit from the Land bank and it was also use to profile the farmers according to the socio-economic variables. After carrying out the principal component analysis, probit analysis was then used to determine the relationship between the socio-economic characteristics of smallholder farmers and their ability to access credit. ii The principal component analysis (PCA) extracted important information from the data table and expressed the information as a set of new orthogonal variables called principal components. The PCA reduced the original variables to six (6) principal components. The six (6) principal components were labelled as; component 1 (Old-experience smallholder farmers), component 2 (business-oriented smallholder farmers), component 3 (part-time smallholder farmers), component 4 (smallholder farmers who receive grants based on gender), component 5 (smallholder farmers with fixed assets and their distance to the nearest town) and component 6 (smallholder farmers who belong to cooperatives). The smallholder farmers where classified and ranked into this six components based on their level of accessibility to agricultural credit from the Land Bank. A majority of the smallholder farmers involved in the study were ranked lowly on their level of accessibility to agricultural credit from the Land Bank; they were classified under the old and experienced smallholder farmers. Probit regression result indicated that the variables gender, education, farm income, pension, land size, cooperative, fixed assets and registered business had a significant positive influence on smallholder farmers’ accessing agricultural credit from the Land Bank in the last three years. In addition, marital status, farming experience, off-farm income, loose assets, farm commodity and farm record had an insignificant positive influence. The probit result also showed that the variables age had a significant negative influence on smallholder farmers’ accessing agricultural credit. In addition, household size, employment, distance to the nearest town and farmers’ association had an insignificant negative influence. Based on the results of the study, it is recommended that the government and other institutions could design agricultural credit programmes that are promptly responsive to the needs of the smallholder farmers. It was also recommended that the Department of Agriculture, Forestry and Fisheries (DAFF) should ensure that the agricultural extension officers are well equipped to be able to disseminate their information to farmers irrespective of their location

This thesis is focused on analysis of utilization of production factors in the agrarian company, during the period from 2005 to 2010. The farm was classified to four groups - LFA, NON LFA, transitional area and ?total?. In the theoretical part were characterized individual factors of production - land, labor and capital. Next part thesis was oriented on financial analysis, mainly was focused on ratio indicators of the financial analysis. In the practical part were made rating utilization of production of factors in agricultural companies. At first was assessed a financial situation companies, during the period from 2005 to 2010 using the indicators of the financial analysis. Next was performed analysis utilization of production of factors. One chapter was devoted structure of production. In last chapter were given production function and cost function.

The purpose of the study was to identify the main factors influencing the small-scale production of sugar cane in Nkomazi, Mupumalanga province. The study assesses the influence of some selected personal and environmental, and intervening factors on the adoption of recommended agricultural practices and farming success or production efficiency of small-scale sugar cane growers. A total of 139farmers were randomly drawn from two distinct districts of Komatipoort and Malelane in Nkomazi, which represented a `10% stratified sample. In the analysis of data, correlation, chi-square analysis, as well as multiple regressions analysis were used in order to identify the most important determinants associated with behavioural change and to calculate their contribution to the variance of farming success. The results indicate that, the intervening variables tended to have the highest prediction value. They were found to explain 87,13% of the variance of behaviour associated with the production efficiency, while the independent variables had R2 of 0.50 thus contributing significantly less to the variance of farming success. Amongst the intervening variables, needs and knowledge were found to have the greatest effect on the farming success or dependent variables (P<0,0001). These findings imply that managerial skills or farming success of small-scale sugar cane farmers in Nkomazi is dependent on intervening variables. The intervening variables are the best prediction of decision making, practices adoption behaviour and farming success, so that they should be the focus of extension programs, and also the criteria for monitoring. / Dissertation (MSc (Agricultural Extention))--University of Pretoria, 2003. / Agricultural Economics, Extension and Rural Development / unrestricted

Questa tesi presenta nuova evidenza empirica sulla relazione tra allocazione dei fattori di produzione e differenze di produttivita' tra paesi (primo capitolo) e tra imprese (secondo capitolo). Il primo capitolo analizza la questione degli scarsi movimenti di capitale tra paesi ricchi e paesi poveri (Lucas' paradox). Una calibrazione del modello neoclassico applicata a nuovi dati mostra come, una volta tenuto conto delle differenze nello stock di capitale umano e nella remunerazione del fattore capitale, i rendimenti da capitale fisico sono molti simili tra paesi ricchi e paesi poveri. Il secondo capitolo studia la relazione tra l'allocazione dei fattori fra imprese e la produttivita' totale dei fattori (TFP). Applicando il modello di Hsieh e Klenow (2009) a dati di imprese manifatturiere di Cile e Messico negli anni '80, si nota una minore presenza di distorsioni nell'allocazione dei fattori in Cile. Questa piu' efficiente allocazione dei fattori di produzione tra imprese potrebbe aiutare a capire perche' l'economia cilena, diversamente da quella messicana, recupero' velocemente dopo la crisi dei primi anni '80. / This Thesis provides new empirical evidence on the relationship between the allocation of factors of production and differences in productivity across countries (first chapter) and across firms (second chapter). In the first chapter I address the issue of small capital flows between rich and poor countries (the so-called Lucas' paradox) observed in data. Applying a calibration approach to new data I show that, taking into account differences in human capital and in the capital share on output, returns to physical capital in rich and poor countries are fairly close. In the second chapter I investigate the relationship between the allocation of factors across firms within a country and TFP. Applying the model proposed by Hsieh and Klenow (2009) to firm level data of Chile and Mexico during 1980s I find that there are less distortions operating on average in the Chilean manufacturing sector with respect to the Mexican one. I argue that the more efficient allocation of factors across firms could help explain why Chile recovered rapidly while Mexico stagnated after the crisis of the early 1980s.

The thesis considers theoretical bases for understanding the product, company, competition and strategies. The thesis compares material and immaterial products and examines the properties of information goods. The thesis considers regularities of strategic management and strategic concepts. The thesis examines analysis used in strategic management, analyses requirements for the system data and describes implemented analysis and their usage.