A conceptual study of anatomy and pathophysiology of Koshtha with its clinical importance in Ayurveda

According to Ayurveda Tridosha and Panchamahabhuta are the functional and structural entity of body so the anatomy, physiology, pathology and treatment are based upon the principle of Tridosha and Panchamahabhut Siddhanta and these principles are formulating the concept of Aayu, Bala, Prakriti and Koshtha. The line of treatment, drug selection, dose determination as well as indication and contraindication of Aahar and Vihar are based upon the above concept. So, a huge study is needed to explore the above concept by the anatomical, physiological, pathological and clinical approach. Out of them the concept of Kohstha can be explore by the study of Koshtha and its anatomical determination, physiology of Koshtha, Koshtha Pariksha and utility of Koshtha in Sodhana and shaman Chikitsa

A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach

E-commerce start-ups have ventured into emerging economies and are growing at a significantly faster pace. Big data has acted like a catalyst in their growth story. Big data analytics (BDA) has attracted e-commerce firms to invest in the tools and gain cutting edge over their competitors. The process of adoption of these BDA tools by e-commerce start-ups has been an area of interest as successful adoption would lead to better results. The present study aims to develop an interpretive structural model (ISM) which would act as a framework for efficient implementation of BDA. The study uses hybrid multi criteria decision making processes to develop the framework and test the same using a real-life case study. Systematic review of literature and discussion with experts resulted in exploring 11 enablers of adoption of BDA tools. Primary data collection was done from industry experts to develop an ISM framework and fuzzy MICMAC analysis is used to categorize the enablers of the adoption process. The framework is then tested by using a case study. Thematic clustering is performed to develop a simple ISM framework followed by fuzzy analytical network process (ANP) to discuss the association and ranking of enablers. The results indicate that access to relevant data forms the base of the framework and would act as the strongest enabler in the adoption process while the company rates technical skillset of employees as the most important enabler. It was also found that there is a positive correlation between the ranking of enablers emerging out of ISM and ANP. The framework helps in simplifying the strategies any e-commerce company would follow to adopt BDA in future. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature