Objective: The present study aimed to design and validate an Internet of Things applicability model in agricultural product export businesses.
Methodology: The research method was mixed. In the qualitative part, the data-based strategy (Strauss and Corbin) was used. Twelve people were selected for in-depth interviews with purposive snowball sampling. The validity of the research in the qualitative part was confirmed using the Creswell participatory and pluralistic strategies, and the reliability of the research was also confirmed using the Holst index. In the quantitative part, based on the survey method, data were collected from managers and experts with a questionnaire and analyzed using interpretive structural modeling.
Findings: Data analysis was performed using 3-stage coding and finally 9 dimensions were counted in the form of 5 categories including: 1- Causal conditions: decision-making and planning 2- Contextual conditions: technical infrastructure, capabilities and costs, company environment. 3- Intervening factors: international customers considering laws and regulations. 4- Strategies: facilitating and accelerating processes, marketing, training and learning. 5- Consequences: improving organizational performance. Finally, the final research model based on quantitative methods was tested.
Conclusion: The results showed that all the components surveyed in export companies are at a desirable level. Also, the results regarding the factors involved in performance showed that the three factors of technical infrastructure - environment and budget allocation are at the fourth level, indicating that in order to realize the other factors, these factors must be realized.