Abbas Norouzi, Hossein Rohani, Arman Bakhshi Jahromi, Mehrdad Teimouri,
Volume 5, Issue 9 (4-2018)
Abstract
The present study seeks to investigate the factors influencing the development of entrepreneurship skills among students of science-applied education centers of Fars, Khorasan Razavi and Alborz provinces. The present study is an applied research in terms of the purpose, a causal-relational research in terms of the approach, and a survey study in terms of the method. A researcher-made questionnaire is the main tool of the research which validity was assessed by the expert's point of view, and its reliability was evaluated by the Composite Reliability (CR).The statistical population of the study included the last semester students of scientific-applied education center of the Agriculture Jihad in Khorasan Razavi, Fars and Alborz provinces (670 students). .The sample size (245 students) was determined using Krejcie and Morgan tables. According to the results of the research, more than 60% of the subjects assessed their entrepreneurial skills at weak and moderate levels. It was also found that three types of educational, economic and psychological factors can explain 61% of variance changes in the development of students' entrepreneurship skills.
Ms. Fataneh Baharvand, Mr Mahdi Hosseinpour, Mr Mohammad Javad Jamshidi,
Volume 9, Issue 18 (12-2022)
Abstract
Extended Abstract
Introduction and Objective: Traditional agriculture is no longer able to provide sustainable, safe, and nutritious food for a planet with a population of more than 9 billion by 2050. This has led researchers to study about modern agriculture and its related factors. In this regard, the present study was conducted with the aim of presenting an adoption model of IoT in the agricultural sector.
Material and Methods: Indicators and factors affecting the implementation of IoT in the agricultural sector were extracted in two stages. Using content analysis, researches related to IoT in the agricultural sector was reviewed in the first stage. In the next stage, effective indicators on the adoption of IoT in the agricultural sector were extracted by Delphi technique and a survey of 15 experts whom were purposefully selected using snowball method.
Results: The research findings showed that 63 indicators in the form of 11 categories and 4 dimentions are effective in adoption of IoT in the agricultural sector. Key concepts include environmental, technological, economic, and socio-cultural factors; sub-categories include cost factors, financial incentives, revenue factors, organizational factors, laws and policies, agricultural and ecological factors, technology infrastructure, security factors, IoT capabilities and features, human factors, and cultur-building.
Conclusion: It can be said that in order to adopt IoT in the agricultural sector, changes and reforms in all four main concepts including environmental, technological, economic, and socio-cultural factors seem necessary. In this regard, it is suggested to government to create laws supporting privacy and data ownership as well as to modify and revise the agricultural sector productivity law emphazing on the implementation of IoT technology. Also, providing cooperation between academic agriculture and information technology experts, developing knowledge-based companies in the field of IoT in agricultural sector, and creating an academic field of IoT are recommended.
