This article describes an IT-based, eGov-centered and capabilitydriven model for assessing e-government capabilities and maturity of public agencies. It is the result of an initiative of the Chilean government to reinforce its e-government strategy. The proposed model, called eGov-MM (e-Government Maturity Model), has three dimensions (a cube) supporting business processes: information criteria, IT resources, and leverage domains. Changing the traditional and exclusive focus on IT, four Leverage Domains are defined: e-Strategy, IT Governance, Process Management, and People and Organization Capabilities. The Leverage Domains generate a hierarchical structure with a second level named Key Domain Areas. These areas should be measurable and controllable, so they are related to a third hierarchical level, called Critical Variables, allowing the model's elements to be assessed qualitatively and quantitatively. The capability and maturity of these variables associated with the intersection with the other two axes of the cube establish five levels of capability. The proposed model is strongly supported by the international experience and best practices for IT management and has already been field tested.
Abstract. Software organizations aim to improve their processes to increase their productivity, competitiveness and performance. Although numerous standards and models have been proposed, their adoption among small organizations is hard due to some size mismatches and to lack of experienced process engineers, which forces them to hire (expensive) external consultants. This article describes the Tutelkan SPI Framework, which proposes a three-fold approach to this problem: (1) providing a library of reusable process assets, (2) offering composition tools to describe small organizations processes using these assets, and (3) systematically training small organization focused consultants for these library and toolset. The framework has been successfully piloted with several Chilean small companies, and the library and tools are open and freely available.
PurposeThe goal of this research is to evaluate obstacles to innovation according to the perception of firms in the Chilean food sector, and to assess the relationships of these obstacles with innovation spending and willingness to innovate.Design/methodology/approachWe analyzed data from the Chilean National Innovation Survey (Encuesta Nacional de Innovación) of 2017 and 2019, which were administered by the Ministry of Economy and the National Institute of Statistics. This survey is designed to be nationally representative. The methods we employed to analyze the data include linear regression, probit and logit models and factor analysis.FindingsWe found that obstacles to innovation can be grouped into five types, namely: cost-based, knowledge-related, market problems, lack of necessity for innovations and regulatory. Cost was positively, and significantly, associated with innovation (expenditures and willingness to innovate). We argue that this is because as firms engage in innovation, they become aware of the associated costs. Also, knowledge obstacles and lack of necessity were negatively associated with innovation. This may mean that as firms engage in innovation, they are able to overcome said obstacles; which speaks well of their innovation ecosystem.Originality/valueWe develop the argument that survey-based studies of obstacles are amenable to a perception-based interpretation of obstacles, because most surveys tend to collect firms' perceptions. Consequently, we provide perception-based explanations for our findings. Additionally, most empirical studies of obstacles in the food sector are of a qualitative nature. Our work supplements this literature with a quantitative analysis that can expand our understanding of innovation in the food industry.
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