863 resultados para Illinois. Small Business Division


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Empirical work on micro and small firms focuses on developed countries, while existing work on developing countries is all too often based on small samples taken from ad hoc questionnaires. The census data we analyze here are fairly representative of small business structure in India. Consistent with findings from prior research on developed countries, size and age have a negative impact on firm growth in the majority of specifications. Enterprises managed by women have lower expected growth rates. Proprietary firms face lower growth on the whole, especially if they are young firms. Exporting has a positive effect on firm growth, especially for young firms and for female-owned firms. Although some small firms are able to convert know-how into commercial success, we find that many others are unable to translate it into superior growth.

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Nascent entrepreneurship and new business ownership are subsequent stages in the entrepreneurial process. We illustrate how information from the largest internationally harmonized database on entrepreneurship, the Global Entrepreneurship Monitor project, can be used to approximate the entrepreneurial process. We make a methodological contribution by computing the ratio of new business ownership to nascent entrepreneurship in a way that reflects the transition from nascent to new business ownership and provides cross-nationally comparable information on the efficiency of the entrepreneurial process for 48 countries. We report evidence for the validity of the transition ratio by benchmarking it against transition rates obtained from longitudinal studies and by correlating it with commonly used entrepreneurship indicators and macro-level economic indices. The transition ratio enables future cross-national research on the entrepreneurial process by providing a reliable and valid indicator for one key transition in this process. © 2012 Springer Science+Business Media New York.

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Strategic decision making (SDM) in a small business is an informal, highly personalised cognitive process which is emergent in nature. SDM determines the extent to which decision makers generate innovative decision-making options, and is therefore critical in order for small businesses to achieve strategic flexibility to enable strategic adaptation to turbulent environments. By examining SDM in small businesses, this research has the potential to address a major criticism of the extant literature in that it has been pre-occupied with measuring the formality of strategic planning and has neglected the informal, highly personalised and cognitive nature of strategic decision making in a small businesses.

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Purpose – The purpose of this paper is twofold: first, to provide a critical assessment of the literature on business incubation effectiveness and second, to submit a situated theoretical perspective on how business incubation management can provide an environment that supports the development of incubatee entrepreneurs and their businesses. Design/methodology/approach – The paper provides a narrative critical assessment of the literature on business incubation effectiveness. Definitional issues, performance aspects and approaches to establishing critical success factors in business incubation are discussed. Business incubation management is identified as an overarching factor for theorising on business incubation effectiveness. Findings – The literature on business incubation effectiveness suffers from several deficiencies, including definitional incongruence, descriptive accounts, fragmentation and lack of strong conceptual grounding. Notwithstanding the growth of research on this domain, understanding of how entrepreneurs and their businesses develop within the business incubator environment remains limited. Given the importance of relational, intangible factors in business incubation and the critical role of business incubation management in orchestrating and optimising such factors, it is suggested that theorising efforts would benefit from a situated perspective. Originality/value – The identification of specific shortcomings in the literature on business incubation highlights the need for more systematic efforts towards theory building. It is suggested that focusing on the role of business incubation management from a situated learning theory perspective can lend itself to a more profound understanding of the development process of incubatee entrepreneurs and their firms. Theoretical propositions are offered to this effect, as well as avenues for future research.

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The original contribution of this work is threefold. Firstly, this thesis develops a critical perspective on current evaluation practice of business support, with focus on the timing of evaluation. The general time frame applied for business support policy evaluation is limited to one to two, seldom three years post intervention. This is despite calls for long-term impact studies by various authors, concerned about time lags before effects are fully realised. This desire for long-term evaluation opposes the requirements by policy-makers and funders, seeking quick results. Also, current ‘best practice’ frameworks do not refer to timing or its implications, and data availability affects the ability to undertake long-term evaluation. Secondly, this thesis provides methodological value for follow-up and similar studies by using data linking of scheme-beneficiary data with official performance datasets. Thus data availability problems are avoided through the use of secondary data. Thirdly, this thesis builds the evidence, through the application of a longitudinal impact study of small business support in England, covering seven years of post intervention data. This illustrates the variability of results for different evaluation periods, and the value in using multiple years of data for a robust understanding of support impact. For survival, impact of assistance is found to be immediate, but limited. Concerning growth, significant impact centres on a two to three year period post intervention for the linear selection and quantile regression models – positive for employment and turnover, negative for productivity. Attribution of impact may present a problem for subsequent periods. The results clearly support the argument for the use of longitudinal data and analysis, and a greater appreciation by evaluators of the factor time. This analysis recommends a time frame of four to five years post intervention for soft business support evaluation.

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The original contribution of this work is threefold. Firstly, this thesis develops a critical perspective on current evaluation practice of business support, with focus on the timing of evaluation. The general time frame applied for business support policy evaluation is limited to one to two, seldom three years post intervention. This is despite calls for long-term impact studies by various authors, concerned about time lags before effects are fully realised. This desire for long-term evaluation opposes the requirements by policy-makers and funders, seeking quick results. Also, current ‘best practice’ frameworks do not refer to timing or its implications, and data availability affects the ability to undertake long-term evaluation. Secondly, this thesis provides methodological value for follow-up and similar studies by using data linking of scheme-beneficiary data with official performance datasets. Thus data availability problems are avoided through the use of secondary data. Thirdly, this thesis builds the evidence, through the application of a longitudinal impact study of small business support in England, covering seven years of post intervention data. This illustrates the variability of results for different evaluation periods, and the value in using multiple years of data for a robust understanding of support impact. For survival, impact of assistance is found to be immediate, but limited. Concerning growth, significant impact centres on a two to three year period post intervention for the linear selection and quantile regression models – positive for employment and turnover, negative for productivity. Attribution of impact may present a problem for subsequent periods. The results clearly support the argument for the use of longitudinal data and analysis, and a greater appreciation by evaluators of the factor time. This analysis recommends a time frame of four to five years post intervention for soft business support evaluation.

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Enterprise Resource Planning (ERP) systems are software programs designed to integrate the functional requirements, and operational information needs of a business. Pressures of competition and entry standards for participation in major manufacturing supply chains are creating greater demand for small business ERP systems. The proliferation of new offerings of ERP systems introduces complexity to the selection process to identify the right ERP business software for a small and medium-sized enterprise (SME). The selection of an ERP system is a process in which a faulty conclusion poses a significant risk of failure to SME’s. The literature reveals that there are still very high failure rates in ERP implementation, and that faulty selection processes contribute to this failure rate. However, the literature is devoid of a systematic methodology for the selection process for an ERP system by SME’s. This study provides a methodological approach to selecting the right ERP system for a small or medium-sized enterprise. The study employs Thomann’s meta-methodology for methodology development; a survey of SME’s is conducted to inform the development of the methodology, and a case study is employed to test, and revise the new methodology. The study shows that a rigorously developed, effective methodology that includes benchmarking experiences has been developed and successfully employed. It is verified that the methodology may be applied to the domain of users it was developed to serve, and that the test results are validated by expert users and stakeholders. Future research should investigate in greater detail the application of meta-methodologies to supplier selection and evaluation processes for services and software; additional research into the purchasing practices of small firms is clearly needed.^

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This paper examines the relationship between the small and medium-sized enterprise (SME) sector and economic growth for an annual panel of Brazilian states for the period 1985–2004. We investigate the importance of the relative size of the SME sector measured by the share of SME employment in total formal employment and the level of human capital in SMEs measured by the average years of schooling of SME employees. The empirical results indicate that the relative importance of SMEs is negatively correlated with economic growth, a result that is consistent with previous studies examining developing countries. In addition, our results show that the human capital embodied in SMEs may be more important for economic growth than the relative size of the SME sector.

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El estudio del potencial exportador colombiano de carne bovina y porcina a la Federación Rusa en función de su oferta y demanda es un proyecto que pertenece a la línea de realidad dentro del área de investigación de la Universidad del Rosario. Es una investigación tipo exploratoria con un enfoque cualitativo que buscará dar respuesta a si Colombia cuenta con el potencial exportador de carne bovina y porcina al mercado de la Federación Rusa. El marco teórico que justifica el proyecto de investigación se compone de la investigación de mercados, el estudio del potencial de la demanda y las restricciones de acceso a otros mercados. A su vez los resultados esperados del proyecto de investigación serán diagnosticar el potencial exportador que tiene Colombia en relación a la carne bovina y porcina, así como examinar la oferta y demanda de estos productos en el mercado de la Federación Rusa y por último detallar las medidas sanitarias y zoosanitarias exigidas por el mercado de la Federación Rusa. Finalmente se utilizarán herramientas de tipo cualitativo que soportarán el desarrollo del proyecto de investigación, para conseguir alinear el objetivo del proyecto con el de la línea de realidad de la universidad y al objetivo del profesor, que buscan la producción de materiales académicos de uso permanente en la Universidad.

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Host responses following exposure to Mycobacterium tuberculosis (TB) are complex and can significantly affect clinical outcome. These responses, which are largely mediated by complex immune mechanisms involving peripheral blood cells (PBCs) such as T-lymphocytes, NK cells and monocyte-derived macrophages, have not been fully characterized. We hypothesize that different clinical outcome following TB exposure will be uniquely reflected in host gene expression profiles, and expression profiling of PBCs can be used to discriminate between different TB infectious outcomes. In this study, microarray analysis was performed on PBCs from three TB groups (BCG-vaccinated, latent TB infection, and active TB infection) and a control healthy group. Supervised learning algorithms were used to identify signature genomic responses that differentiate among group samples. Gene Set Enrichment Analysis was used to determine sets of genes that were co-regulated. Multivariate permutation analysis (p < 0.01) gave 645 genes differentially expressed among the four groups, with both distinct and common patterns of gene expression observed for each group. A 127-probeset, representing 77 known genes, capable of accurately classifying samples into their respective groups was identified. In addition, 13 insulin-sensitive genes were found to be differentially regulated in all three TB infected groups, underscoring the functional association between insulin signaling pathway and TB infection. Published by Elsevier Ltd.

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This article assesses if innovators outperform non-innovators in Brazilian manufacturing during 1996-2002. To do so, we begin with a simple theoretical model and test the impacts of technological innovation (treatment) on innovating firms (treated) by employing propensity score matching techniques. Correcting for the survivorship bias in the period, it was verified that, on an average, the accomplishment of technological innovations produces positive and significant impacts on the employment, the net revenue, the labor productivity, the capital productivity, and market share of the firms. However, this result was not observed for the mark-up. Especially, the net revenue reflects more robustly the impacts of the innovations. Quantitatively speaking, innovating firms experienced a 10.8-12.5 percentage points (p.p. henceforth) higher growth on employment, a 18.1-21.7 p.p. higher growth on the net revenue, a 10.8-11.9 p.p. higher growth on labor productivity, a 11.8-12.0 p.p. higher growth on capital productivity, and a 19.9-24.3 p.p. higher growth on their market share, relative to the average of the non-innovating firms in the control group. It was also observed that the conjunction of product and process innovations, relative to other forms of innovation, presents the stronger impacts on the performance of Brazilian firms.

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