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IT In The Agricultural Value Chain
Model based analysis of IT support in the agricultural value chain
During the last decade, the use of fragmented IT systems and support for agricultural purposes in Norway has increased dramatically. However, very little analytical and empirical research has been carried out to determine current situation of IT in animal and plant production. The aim of this research was therefore to investigate the effectiveness and functionality of using IT support in agricultural value chain. For this reason one conducted qualitative research study, which was contained the depth interviews and questionnaires in order to map certain actors processes and tasks and their degree of IT utilization. The modeling languages were used to present the IT support in the processes and tasks at the farm and certain companies in the value chain. Results of the assessment showed significant differences between using IT tools in animal and plant production. Presenting the statistics gave a better understanding about the correlation between the treatments. However one observed that there is no significant effect of one given variable over the other except in one observed situation that is the degree of experience in IT utilization may help a farmer to get a part time and full time job which adds more value to their income and as a result in the entire chain. Another interesting observation was that senior farmers were more experienced and expert in IT utilization than the younger ones. The various complicated systems appear to be confusing for some farmers. This suggests that the effective utilization of IT support may increase flow of information and knowledge among farmers if they are implemented and tested efficiently with better functionality. One proposed several new mechanisms in certain systems that farmers apply mostly in order to spare their time, add more value to the value chain and users satisfaction. One also suggested a solution which may be employed in a pilot project for the process improvement purposes. A non-complex system may give the users a better usability and satisfaction in the agricultural sector.
Maria Johnsen holds a degree in political economy, Beauty Arts from Sorbonne University in Paris, BA in Information technology BA in informatics and a Master of Science degree in Computer Engineering from the Norwegian University of Science and Technology.
Her professional background and education is diverse and includes skills in areas such as sales, multilingual digital marketing, content writing, business intelligence, software design and development. In addition, she possesses the experience and education in the management of complex Information Systems.
Maria knows eighteen languages and possesses experience in language instruction, tutoring, and translation. She has also developed a unique teaching method for fast learning "Implications for Upgrading Accelerated Learning Practices In Educational Systems" This method is applied in China and Norway.
Maria Johnsen is also a multilingual SEO, PPC and social media marketing expert. She managed software projects for well known IT companies and Bank in Norway, China, the UK as well as cooperation with governments and police authorities in regards to projects related to data crime and tracing terrorists online.
Starting in 2008, she began offering search engine optimization services. Her company Golden Way Media expanded internationally in 2009 carrying out various projects in Europe, North America and Asia. While offering services to the general public, Maria Johnsen continues to consult with corporate clients, agencies and small businesses.
She has skills and proven records in all areas of search engine optimization including keyword targeting, competitor research and on-site optimization.
- Publication Date:
- 1503121615 / 9781503121614
- Page Count:
- Binding Type:
- US Trade Paper
- Trim Size:
- 6" x 9"
- Full Color
- Related Categories:
- Computers / Information Technology