El impacto de la gestión del conocimiento en el desempeño organizacional: un estudio de modelado de ecuaciones estructurales

This study attempts to investigate the role of knowledge management (KM) in commercial companies.To this end, a literature review was made and relevant components were extracted to conceptualizeKM and organizational performance (OP), and the relationship between KM and OP was presented ina theoretical framework. Secondly, to assess the proposed model, a questionnaire was given to 200participants in five commercial companies, chosen through multi-stage stratified sampling. The datawere analyzed using structural equation modeling (SEM) and Lisrel 8.8. The results revealed that themodel enjoyed an acceptable degree of fit. The obtained coefficient (0.41) showed a direct impact ofKM indices on OP, indicating the significant and positive relationship between KM and OP dimensionssuch as financial performance, quality of goods and services, staff members’ performance, innovation,and customers’ level of satisfaction.Este estudio trató de investigar el papel de la gestión del conocimiento (KM) en las empresas comerciales. Con este fin, se revisó la literatura y se extrajeron componentes relevantes para conceptualizar el KM yel desempeño organizacional (OP). A continuación, la relación entre KM y OP se presentó en un marcoteórico. En segundo lugar, para evaluar el modelo propuesto, se entregó un cuestionario a 200 participantesen 5 empresas comerciales, elegidos mediante muestreo estratificado de etapas múltiples. Los datosse analizaron utilizando modelado mediante ecuaciones estructurales (SEM) y Lisrel 8.8. Los resultadosrevelaron que el modelo proporcionaba un grado aceptable de ajuste. El coeficiente obtenido (0,41)muestra un impacto directo de los índices de KM en OP, lo que indica la relación significativa y positiva entrelas dimensiones de KM y OP, tales como el desempeño financiero, la calidad de los bienes y servicios, eldesempeño de los miembros del personal, la innovación y el nivel de satisfacción de los clientes

The Impact of Knowledge Management on Organizational Performance: A Structural Equation Modeling Study

This study attempts to investigate the role of knowledge management (KM) in commercial companies. To this end, the literature was reviewed and relevant components were extracted to conceptualize KM and organizational performance, (OP) and the relationship between KM and OP was presented in a theoretical framework. Secondly, to assess the proposed model, a questionnaire was given to 200 participants in five commercial companies, chosen through multi-stage stratified sampling. The data were analyzed using structural equation modeling (SEM) and Lisrel 8.8. The results revealed that the model enjoyed an acceptable degree of fit. The obtained coefficient (0.41) showed a direct impact of KM indices on OP, indicating the significant and positive relationship between KM and OP dimensions such as financial performance, quality of goods and services, staff members’ performance, innovation, and customers’ level of satisfaction

Evidence-based policy-making and the role of statistics and information

The ultimate goals of policy-making would not be possible by use of the methods such as surveys. Evidence-based policy-making is a new approach in the public policy which has increased in many countries. Evidence-based policy-making is based on the assumption that decisions should be based on available evidence and rational analysis in addition to the judgments and opinions. one of the important evidence is statistics. The accuracy statistics can promote the accuracy, quality and capacity of policy. According to the importance of the statistics for the evidence-based policy-making, this paper is seeking to examine the importance of the statistics for evidence-based policy-making and tiring to show that the correct and efficient use of statistics leads to better policy. This paper uses the mixed method for this purpose. The mixed method approach used in this paper is the sequential exploratory design that the qualitative data followed by the quantitative data are collected and analysed. First, the comprehensive process framework for evidence-based policy-making is developed in the qualitative part by using meta-synthesis. Second, in the quantitative part, binomial test is used to validation of the developed framework. The data collection tool is a questionnaire and has been completed by 15 experts in the field of policy-making. Finally, the paper examines the role of information and statistics in the steps of proposed framework

Providing a Model for Strengthening the Economic Impacts of the National Information Network

National Information Network is a local network and includes national data centers, communications infrastructure and software services. It will be deployed throughout the country, and provide e-government services and welfare and social services by optical fiber and broadband at 12 Mbps for Iranian people. Combination of national network and ICT lead to many direct and indirect impacts. The direct impacts are results of investment in technology and infrastructure development and indirect impacts are results of the economic activities by the national network. The national network generate new business models, new process, new innovations, new products and services and provides improved flexibility and competitiveness. According to the important role of national network in economy, and also because of the lack of a comprehensive model for strengthening the economic impacts of the national information network, this study is seeking to develop a model for strengthening the impacts of national information network. To conduct this research, documentary study and interview with experts in the national information network have been used. Based on the results of this paper, proposed model consists of three main steps as: feasibility study and developing a business strategy, implementation (planning and control), and  evaluating the economic impacts of the national information network and policy-making for it

Designing and developing a website for information recourses related to indicators for monitoring and evaluation of science, technology and innovation) STI)

So far, many indicators for evaluation of science, technology and innovation have been presented in various documents in Iran. Also, many indicators have been mentioned in the reports of international organizations. Selection and use of the indicators is difficult for policy makers and researchers because of the abundance and distribution of them in various domestic and international documents and reports. Therefore, access to these indicators through a single website with the ability to organize and online search can facilitate the users’ activities. Therfore, a website has been designed and developed for information resourses related to indicators for monitoring and evaluation of science, technology and innovation. The research method is mixed with the study of documents and system design. In the first step of this research, the data related to indicators, information resources and organization were gathered using the study of national and international documents. Then, in the second step, a website was designed and developed. This website provides an image of national and international organizations working in this field, and categorizes the evaluation indicators for researchers and policy makers. It introduces the key information resources related to indicators such as book, article, thesis, government report, national document, research project. The database of the website has simple and advanced search capabilities in both Persian and English among the indicators, uses the equivalent terms and provides links to global and national resources. Users can help to update and mature the database with offering new indicators and information resources. This website is valuable for policy makers and researchers because it makes the indicators, organizations, and information resources related to monitoring and evaluation of science, technology and innovation more visible and accessible

Developing a Model for End User Information Systems Satisfaction with Justice Based Approach

End user satisfaction (EUS) is one of the most widely used measures in assessing (efficiency/ effectiveness) of an information system. The goal of this research is to identify influential factors on (EUS), based on justice theory. So we identified 8 influential factors on (EUS) such as interactional justice, distributive justice, information system (IS) performance expectation, equitable relatedness fulfillment, equitable self-development fulfillment, procedural justice, equitable work performance fulfillment and IS performance. Then the model was tested in a real case. The results of study showed that interactional justice, distributive justice, information system (IS) performance expectation, equitable relatedness fulfillment, equitable self-development fulfillment had significant relation with IS end user satisfaction but procedural justice, equitable work performance fulfillment and IS performance had no significant relation with IS end user satisfaction

The Impact of Knowledge Management on Organizational Performance: A Structural Equation Modeling Study

This study attempts to investigate the role of knowledge management (KM) in commercial companies. To this end, the literature was reviewed and relevant components were extracted to conceptualize KM and organizational performance, (OP) and the relationship between KM and OP was presented in a theoretical framework. Secondly, to assess the proposed model, a questionnaire was given to 200 participants in five commercial companies, chosen through multi-stage stratified sampling. The data were analyzed using structural equation modeling (SEM) and Lisrel 8.8. The results revealed that the model enjoyed an acceptable degree of fit. The obtained coefficient (0.41) showed a direct impact of KM indices on OP, indicating the significant and positive relationship between KM and OP dimensions such as financial performance, quality of goods and services, staff members’ performance, innovation, and customers’ level of satisfaction.Este estudio trató de investigar el papel de la gestión del conocimiento (KM) en las empresas comerciales. Con este fin, se revisó la literatura y se extrajeron componentes relevantes para conceptualizar el KM y el desempeño organizacional (OP) y la relación entre KM y OP se presentó en un marco teórico. En segundo lugar, para evaluar el modelo propuesto, se entregó un cuestionario a 200 participantes en 5 empresas comerciales, elegidos mediante muestreo estratificado de etapas múltiples. Los datos se analizaron utilizando SEM y Lisrel 8.8. Los resultados revelaron que el modelo disfrutaba de un grado aceptable de ajuste. El coeficiente obtenido (0,41) mostró un impacto directo de los índices de KM en OP, lo que indica la relación significativa y positiva entre las dimensiones de KM y OP, como el desempeño financiero, la calidad de los bienes y servicios, el desempeño de los miembros del personal, la innovación y el nivel de clientes satisfacción

Developing a model to evaluate the impacts of science, technology and innovation foresight on policy-making

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Impact of technology foresight on the policy-making process in Iran

Technology foresight as a policy intelligence tool, can offer vital inputs for policy-making in various domains. The relationship between foresight and policy-making has been presented in the literature by the policy-related functions of foresight, but the literature reflects a theoretical gap with the systematic evaluation of the impact of foresight on policy-making. So this study tries to bridge the existing gap by development an evaluation model. The data collection tool is a questionnaire and in order to test the proposed model; a sample of fifteen experts is included. In this article a case study is conducted to implement the confirmed model in the real word and Partial Least Squares (PLSs) path analysis is used to advance our understanding of the relationships and the structure of the proposed model. The results confirm the proposed dimensions of the model and provide insight for those who are concerned with this topic

Impact of technology foresight on the policy-making process in Iran

Technology foresight as a policy intelligence tool, can offer vital inputs for policy-making in various domains. The relationship between foresight and policy-making has been presented in the literature by the policy-related functions of foresight, but the literature reflects a theoretical gap with the systematic evaluation of the impact of foresight on policy-making. So this study tries to bridge the existing gap by development an evaluation model. The data collection tool is a questionnaire and in order to test the proposed model; a sample of fifteen experts is included. In this article a case study is conducted to implement the confirmed model in the real word and Partial Least Squares (PLSs) path analysis is used to advance our understanding of the relationships and the structure of the proposed model. The results confirm the proposed dimensions of the model and provide insight for those who are concerned with this topic