فهرست مطالب mohammad okhli

Today, the role of start-ups in the new approach to the modern economy has received much attention. The purpose of this study was to present a model for identifying entrepreneurial opportunities for technology start-ups in agriculture in Northern Provinces of Iran. The statistical population consisted of 318 founders and executives of tech start-ups. Using stratified random sampling method, 130 samples were selected. The data collection tools in this section included a researcher-made questionnaire containing a set of identified markers for effective factors in identifying opportunities. The face and content validity of the questionnaire was confirmed by experts' opinions and its reliability was confirmed by Cronbach's alpha (0.958). The dominant statistical method was structural equation modeling using partial least squares method implemented with Smart PLS software. The results showed that in the process of opportunity recognition, individual capability and previous knowledge on social network and social network on entrepreneurship ecosystem as well as entrepreneurship ecosystem have positive effect on opportunity recognition performance and on opportunity recognition performance on opportunity development, But the impact of prior knowledge and individual capability on the entrepreneurial ecosystem and the impact of the entrepreneurial ecosystem on opportunity development were not confirmed. According to the results, a model has been presented to identify the entrepreneurial opportunity of tech start-ups in agriculture.

This research was carried out to explain a conceptual model for training opportunity recognition by university technological startups in agriculture in Golestan province. This research as a mixed method research has been done in two phases in 2018. The first phase as a qualitative research was performed through descriptive phenomenology method. Semi-structured deep interviews were implemented to collect data. Statistical population of this research consisted of 100 university technological agro-startups in Golestan province (N=100). Through purposeful sampling, 40 students were selected as sample or interviewee. Data collection process was continued until reaching theoretical saturation and usefulness threshold of available information. Based on Colaizzi's method, the qualitative thematic content analysis was carried out to analyze the collected data. In the second phase of research, using, a questionnaire containing characteristics of the respondents and five dimensions of opportunity recognition behavior was compiled based on the first phase findings and filled by respondents for completion. Data were analyzed using descriptive (frequency and percentage) and inferential (non-parametric Friedman tests) with SPSS software. The findings of research led to the extraction of five dimensions of opportunity recognition education: entrepreneurial opportunity features (perception of opportunity); entrepreneurial opportunity assessment criteria; capabilities associated with entrepreneurial opportunity recognition and exploitation; determinants of entrepreneurial opportunity recognition and exploitation; and learning trajectories for entrepreneurial opportunity recognition and exploitation. In order to summarize research findings, extraction and categorization of main representative themes of the five dimensions were made in the form of a conceptual model.