Introducing a New Model for the Analysis of Iot Business Model Ecosystem in the Field Of Rehabilitation in Iran Using the Sem Approach

Abstract

Background and Aims The purpose of this article was to present a local model for ecosystem analysis of the IoT business model in the field of rehabilitation in Iran with an emphasis on improving the quality of life of the disabled community in the country. Methods The current article can be categorized as applied, combined (qualitative and quantitative), and survey-based descriptive. The society, i.e., the statistical sample, included eight experts in the qualitative part and consisted of 100 executives and experts in the quantitative part. A questionnaire was used to analyze the dimensions and indicators. The face validation of the questionnaire was performed by the Delphi technique. Content validity ratio and content validity ratio were used as two content-related validity indicators for qualitative validation. The reliability of all dimensions and indicators was confirmed through Cronbach’s test with a population consisting of 30 experts. To analyze the proposed model of the researcher, we used inferential tests, loading factor analysis, t, structure equation modeling, and fitting techniques on a 100-person sample. Results The fitness of the model was approved by experts with 99% confidence according to the philosophy, goals of the theoretical foundations of dimensions and components, feedback, and output of the model. Conclusion The findings of this paper led to a model with several dimensions: (1) environment, (2) actors, (3) ecosystem cycle, and (4) IoT architecture in business. The corresponding indicators for the identified dimensions were validated. Independence, interaction, and empowerment were considered three principle values for the target community.