Public Management
saeed chehreh; Mohammadali Sarlak; Ashraf Rahimian
Abstract
The current research was done with the aim of designing a model to improve the performance of start-up accelerators and identifying its dimensions and components. This research is in the category of mixed exploratory research in terms of practical purpose and in terms of method. The current research ...
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The current research was done with the aim of designing a model to improve the performance of start-up accelerators and identifying its dimensions and components. This research is in the category of mixed exploratory research in terms of practical purpose and in terms of method. The current research was carried out in two parts: qualitative (supercomposition and Delphi) and quantitative. The population studied in the qualitative section includes 25 Persian and Latin articles related to the improvement of performance in startups, which were selected by the census method in the meta-composite method. The statistical population in the Delphi section included 30 management faculty members and managers of companies related to start-up accelerators. In the quantitative section, 250 samples of accelerator employees were selected using a systematic random stratified method. The data collection tool is a questionnaire, the validity of which was obtained and confirmed through the methods of construct validity and factor loadings, as well as the calculation of Cronbach's alpha. In order to analyze the data, exploratory and confirmatory factor analysis as well as path analysis were used using spss and smart pls statistical software. Based on exploratory factor analysis, 73 questionnaire items have been classified into 12 main components and 61 sub-components. The results of confirmatory factor analysis show that 12 human resources components of coaching, management techniques, customer perspective, continuous improvement, support, financial relations, internal processes, business model, program ecosystem, competitors and environment are effective in improving the performance of start-up accelerators.
General Management
ziba mohammadzadeh; Ali Biranvand; saeed .chehreh
Abstract
One of the most widely used fields of knowledge management is the commercialization of knowledge. This research, with the help of scientometric techniques, identifies the effects of knowledge in the field of knowledge commercialization. This research is a kind of scientometric. Initial data were obtained ...
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One of the most widely used fields of knowledge management is the commercialization of knowledge. This research, with the help of scientometric techniques, identifies the effects of knowledge in the field of knowledge commercialization. This research is a kind of scientometric. Initial data were obtained from the Web of Science (WoS) database to investigate the historical roots of published works in the field of commercialization of knowledge. Then, the main roots of this filed, the amount of received citations, and influential works were identified using RPYS software. Next, with the help of the yearcr software, the extent of the effects of the works outside of the range of peaks were also introduced. The period under investigation is the publication in the years 1900-2015. By searching published works in the time period of 1900-2015, 1550 records related to commercialization of knowledge were retrieved. The total number of citations up to the time of the present research was 39817, which resulted in the emergence of five peaks in the years 1934, 1962, 1973, 1998, and 2003. The present project has introduced the influential works in the field of commercialization of knowledge. Identifying the influential effects in the field of commercialization of knowledge makes it possible to identify the main origins and subfields of knowledge.