Interpretive Structural Modeling of the Factors Affecting E-Readiness

Organizations are planning and investing in entering different digital fields, and thus e-readiness assessment to measure their success is important. In this study, we investigate the causes of e-readiness based on different point of views using interpretative structural modeling to explain the e-readiness of the medical Industry. Based on a comprehensive literature review and also collecting the opinions of experts (17 experts) six factors were identified to explain the e-readiness in the medical Industry. Then, using interpretation structural model factors were graded in three levels. After determining the levels of each factors and taking into account the availability of the final matrix, the final interpretation model was achieved. The obtained results show that factors such as Infrastructure and access, human resources, and organizational structure in relation to e-readiness assessment are more effective than the other factors in the medical Industry. The results of this research suggest the managers of pharmaceutical industry that for moving toward the digital world important factors should be identified and factors with low level of performance require special attention.