Swati Bhauso Patil and Sujata Jena
This study aims to create a systematic knowledge base on importance and utilization patterns of underrated pseudo-cereals prevalent in the northeastern hilly (NEH) region of…
Abstract
Purpose
This study aims to create a systematic knowledge base on importance and utilization patterns of underrated pseudo-cereals prevalent in the northeastern hilly (NEH) region of India, namely, buckwheat, Job’s tears, chenopod and amaranth, enabling their diversified use to develop innovative food products from them. The information presented in the paper would facilitate scientists, trainers and young entrepreneurs in developing many novel food products from these underrated pseudo-cereals.
Design/methodology/approach
Major scientific information has been collected from Scopus, Web of Science and Google Scholar. Several keywords such as underrated crop, pseudo-cereals, buckwheat, chenopod, Job’s tears, amaranth, value addition and utilization were used to find the data. Relevant information was collected by using about 60 recent research and review articles.
Findings
The main findings of this comprehensive study include compiled record of utilization of underrated pseudo-cereals found in the NEH region of India and their scope to innovate smart food products.
Originality/value
The paper presents a comprehensive record of nutritional benefits and utilization status of the underrated pseudo-cereals available in the NEH region of India. This knowledge base would help both the researchers and other professional working in the processing of these crops.
Details
Keywords
Sujata Swain and Rajdeep Niyogi
This study aims to discuss a context-aware system, SmartMedicist, which can recommend an alternative medicine from a set of available medicines present at a patient’s home for an…
Abstract
Purpose
This study aims to discuss a context-aware system, SmartMedicist, which can recommend an alternative medicine from a set of available medicines present at a patient’s home for an unavailable medicine. The system is applied to the chronic disease patients only. The system requires only a smartphone, and provides a reminder to the patient to take medicine at appropriate times and to procure medicines from drug store. The system discusses the output method for the physically challenged patient. Although there are existing systems that can remind a patient for taking medicines, the authors are not aware of any such system that has the capability to recommend an alternative medicine for the prescribed medicine.
Design/methodology/approach
The study developed a pharmacology knowledge base that consists of a representation of a set of diseases, according to family, type and medicines, in a k-ary tree. An alternative medicine is recommended based on the set of available medicines and knowledge base.
Findings
We considered four diseases: Hypertension, Gastritis, Alzheimer’s disease, and Parkinson; and performed several experiments for each disease for the different number of available medicines. The execution time to find an alternative medicine (if any) in each case is around four seconds.
Originality/value
The proposed system is cost effective and affordable for most families in India. Although the proposed system is not a substitute of a doctor, this system will enhance the safety golden period for a patient to consult a doctor in the emergency exhaustion of the prescribed medicines.
Details
Keywords
Himanshu, Sanjay Dhingra and Shelly Gupta
As the global financial ecosystem grapples with the complexities of modernization, blockchain technology emerges as a pivotal catalyst, offering the banking, financial services…
Abstract
Purpose
As the global financial ecosystem grapples with the complexities of modernization, blockchain technology emerges as a pivotal catalyst, offering the banking, financial services, and insurance (BFSI) industry unprecedented opportunities for secured digital transformation and enhanced customer trust. To gain a comprehensive understanding of blockchain technology adoption, this study aims to identify the factors and establish the contextual interrelationships among them.
Design/methodology/approach
The authors have identified the factors affecting blockchain technology adoption in BFSI industry through extensive literature review and experts’ interviews. After identification of factors, contextual relationship has been established based on experts’ opinion and total interpretive structural modeling (TISM) approach. Furthermore, factors are categorized into autonomous, dependent, linkage and driving variables using cross-impact matrix multiplication applied to classification analysis.
Findings
The TISM-based structural model is divided into eight different hierarchal levels in which Government support is placed on the lower most layer (level 8) which indicates that this is the most crucial factor in blockchain adoption. Further social influence and security are placed on seventh and sixth level in the hierarchy.
Practical implications
The results of this study will help the policymakers to direct the resources from the most crucial factor to other factors in the hierarchy as per their relevance. In essence, this study serves as a guiding compass, steering the course of blockchain technology adoption in the BFSI sector toward a more secure and digitally transformed future.
Originality/value
In the current landscape, blockchain technology remains in its nascent stage, leaving ample room for exploration and innovation. This study stands as the pioneering effort to comprehensively identify and establish the contextual relationships among the adoption factors of blockchain technology within BFSI industry. Through rigorous TISM analysis, this paper enriches the existing body of knowledge on blockchain technology adoption.