185,467 research outputs found

    Mobile Value Added Services: A Business Growth Opportunity for Women Entrepreneurs

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    Examines the potential for mobile value-added services adoption by women entrepreneurs in Egypt, Nigeria, and Indonesia in expanding their micro businesses; challenges, such as access to digital channels; and the need for services tailored to women

    Contribución del comercio electrónico al desempeño de las PyMEs industriales: un modelo estructural

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    El rol que juegan las Tecnologías de la Información y comunicación (TIC) para lograr un mejor desempeño organizacional aún requiere de un análisis más profundo entre las pequeñas y medianas empresas (PyMEs) de los países en desarrollo. Este estudio pretende ampliar la literatura empírica sobre la relación entre TIC, comercio electrónico y desempeño de las PyMEs en países en desarrollo. Para alcanzar este objetivo, utilizamos una muestra de 87 empresas manufactureras de la ciudad de Bahia Blanca, Argentina correspondiente al año 2015. Mediante la estimación de un Modelo de ecuación estructura, se obtiene que la adopción del comercio electrónico posee una influencia positiva y significativa en las ventas de las PyMEs la cual es potenciada por el nivel de uso de las TIC. Otros factores organizacionales tales como el tamaño de la empresa y los programas públicos explican el desempeño, pero no son predictores significativos de la adopción del comercio electrónico.The role Information and Communication Technologies (ICT) play in achieving a better organizational performance still needs further analysis among small and medium sized enterprises (SME) from developing countries. This study aims to extend the empirical literature on the relationship between ICT, electronic commerce and SME performance in developing countries. To achieve this goal, we employ a sample of 87 manufacturing firms from the city of Bahía Blanca, Argentina in the year 2015. By estimating a structural equation model, we obtain that electronic commerce adoption has a positive and significant influence on SME sales which is reinforced by the level of ICT use. Other organizational factors such as firm size and public programs explain performance, but are not significant predictors of the electronic commerce adoption.Fil: Alderete, Maria Veronica. Universidad Nacional del Sur. Departamento de Economía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentin

    Abstracts : policy research working paper series - numbers 2568-2618

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    This paper contains abstracts of Policy Research Working Paper series Numbers 2568-2618.Environmental Economics&Policies,Health Economics&Finance,Economic Theory&Research,Governance Indicators,Health Monitoring&Evaluation

    Prosper. An evaluation of tourism's contribution to regional economies

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    Prosper has delivered a three part model for assessing and enhancing the value of tourism in regional areas. The first part of the model uses simple indicators to provide an assessment of the economic, social, and environmental value attached to tourism. An indicators approach was adopted following extensive review of the application of more complex approaches to regional economic analysis. The review found that complex approaches are unlikely to produce results of sufficient validity and applicability to warrant their high resource costs (time, money, and skills). Complex models are also more difficult to maintain. The economic value is represented through quantitative indicators relating to employment and the number of businesses in tourism related sectors. These are all relative indicators (for example, proportion of all businesses which are businesses in the tourism sector or proportion of change in employment that can be attributed to change in tourism related employment). These indicators are drawn from national data sets which provide information for statistical local areas and/or postcode areas. This offers the opportunity to develop and deliver consistent national profiles through a vehicle such as Decipher. National standard data sets are supplemented in the model by more qualitative assessments of tourism’s contribution to the local economy made by business operators through interviews or surveys. Again, tracking the change in these assessments over time is the key to the model. Social and environmental values are substantially more difficult to assess. The Prosper case studies have included qualitative assessments derived from business and community meetings, local government and other administrative documents, media and a simplified network analysis identifying the extent to which community based organisations interact with the delivery of tourism services. Data sets have been identified which would allow a quantitative analysis of the extent to which tourism activity (visitor movements, business activity, business construction) encroaches on environmentally sensitive areas or is responsible for redevelopment or preservation of built environments. The case studies have not been able to implement this quantitative analysis. The second part of the model conducts a ‘diagnostic’ assessment of the capacity in the region to harness the value of tourism through innovation. Innovation is seen as a very important mechanism for both identifying regional issues and developing responses to those issues. Innovation is widely accepted in the literature as a driver of economic growth, and concepts such as ‘systems of innovation’ and ‘regional systems of innovation’ have become common in understanding how that innovation can be encouraged and placed within technical or geographical contexts. The diagnostic element of the Prosper model uses a series of techniques (including historical document analysis, interviews, and network analysis) to investigate the characteristics of region’s human tourism resources in relation to their ‘innovation potential’. Innovation potential is influenced by: • Economic competence – the extent to which those resources include capacity to manage projects and implement new ideas; • Clustering of resources – the spatial relationships between tourism attractions and amenities and nontourism amenities and resources which may be critical in the delivery of tourism product; • Networks – the social and professional relationships between tourism attractions and amenities and nontourism amenities and resources which may be critical in the delivery of tourism product; • Development blocks – the existence of sufficient new resources or new ways of looking at existing resources to provide opportunities for innovation. Development blocks need also to be a source of tension or disequilibrium so that their use is contested and therefore options more likely to be scrutinized as to their viability; • Entrepreneurship – the capacity for human resources to engage in new tasks and drive activity; • Critical mass – the relationship between the capacity to supply tourism product, and the capacity to access sufficient and appropriate markets (including resident markets) to support ongoing supply; • Local government – the extent to which local government considers tourism an important issue and is willing to engage in the innovation process • Production and distribution of knowledge – the extent to which the history and current status of tourism is understood and communicated, and the degree to which stakeholders can access and apply new information for identifying the potential or need for change, assessing the viability of projects, and evaluating activities; • Social, political and cultural capital – the strength of the social, political and cultural environments, and the degree to which those environments can be effectively harnessed to support tourism innovation. The third part of the model uses ‘visioning’ techniques (drawing in part on experiences from Sustainable Tourism CRC projects on ‘Gold Coast Visioning’ led by Professor Bill Faulkner at Griffith University, and research by Walker, Lee, Goddard, Kelly & Pedersen, 2005) to engage stakeholders in developing strategies for identifying tourism value issues (based on the community awareness of the value of tourism, aspirations for enhancing value, and strategies for addressing deficiencies in innovation potential). A number of processes are available for applying visioning techniques. Our case studies typically involved community leaders accepting ownership of the results of the application of the first components of the model and, in a facilitated or nonfacilitated way, delivering these results broadly through the community. In some cases, strategies emerged entirely from within the region, while in others, the research team was further engaged to collate strategy suggestions and summarise the arguments attached to these suggestions. In most cases, the final case study write-up included reference to suggestions which appeared likely to be carried forward. The Prosper model was tested in thirteen case studies, not simply to establish whether the relationships hypothesized between innovation potential and harnessing the value of tourism could be observed, but also to establish to extent to which participating regions viewed the application of the model as important and worthwhile in their attempts to move forward. The case studies were a mix of five new studies conducted using the Prosper model in a direct way and meta-analysis of eight previous case studies. The short time frame for the research (2 and ½ years) and the relatively long term nature of change made it impossible to design the research to evaluate the success of the strategies developed or any specific innovations in new case studies, so the metaanalysis studies were significant in this respect. The case studies strongly supported the second part of the model in particular, and the research served as an influential tool for many of the case study communities who were able to implement programs of value monitoring (through quantitative or qualitative means), identify ways in which their systems of innovation could be strengthened, and develop context specific mechanisms for identifying and assessing the feasibility of tourism development proposals. The research has delivered a number of outputs which may be used in dissemination and commercialisation of the intellectual property. A stand-alone publication reviewing the applicability of various economic value assessment techniques to regional tourism has been produced. A quick guide to the Prosper model and assessing whether application of the model would assist a particular region has been drafted, and is slated for development in collaboration with Sustainable Tourism CRC. A detailed methodology specification has been prepared, and may be used as the basis of consulting services or the conduct of further case studies. The quantitative data sets (Census, Sensis, TTF employment analysis, labour force statistics etc.) may be made available through Decipher and included in a structured Decipher product which facilitates analysis and interpretation. A book containing research results of the thirteen case studies and an overview of the relationship between those case studies and the Prosper model has been edited by Dean Carson and Dr Jim Macbeth and has been submitted to the Sustainable Tourism CRC editorial team led by Professor Chris Cooper at the University of Queensland

    Community Development Evaluation Storymap and Legend

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    Community based organizations, funders, and intermediary organizations working in the community development field have a shared interest in building stronger organizations and stronger communities. Through evaluation these organizations can learn how their programs and activities contribute to the achievement of these goals, and how to improve their effectiveness and the well-being of their communities. Yet, evaluation is rarely seen as part of a non-judgemental organizational learning process. Instead, the term "evaluation" has often generated anxiety and confusion. The Community Development Storymap project is a response to those concerns.Illustrations found in this document were produced by Grove Consultants

    Abstracts : policy research working paper series - numbers 2300-2362

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    This paper contains abstracts of Policy Research Working Paper series Numbers 2300-2362.Health Economics&Finance,ICT Policy and Strategies,Environmental Economics&Policies,Health Monitoring&Evaluation,Governance Indicators

    Abstracts : policy research working paper series - numbers 2071-2132

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    This paper contains abstracts of Policy Research Working Paper series Numbers 2071-2132.Environmental Economics&Policies,Health Monitoring&Evaluation,Health Economics&Finance,Achieving Shared Growth,Inequality

    Abstracts : policy research working paper series - numbers 2133-2196

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    This paper contains abstracts of Policy Research Working Paper series Numbers 2133-2196.Environmental Economics&Policies,Economic Theory&Research,Banks&Banking Reform,GovernanceIndicators,Health Economics&Finance
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