{"title":"Comparative assessment of US and India’s exchange traded funds (ETFs): Performance evaluation of tailwinds and headwinds recommendations","authors":"S. Jaiswal, Kawal Nain Singh","doi":"10.1080/02522667.2022.2128531","DOIUrl":"https://doi.org/10.1080/02522667.2022.2128531","url":null,"abstract":"Abstract Long-term worldwide investment trends show that exchange-traded funds (ETFs) are becoming popular for passive investing. Nifty Bees established in 2001 was the first ETF to follow passive equities assets in India. Here, we will take a closer look at the Indian ETF market, as well as key policy considerations, and how to proceed. To put things in perspective, given the maturity of the US ETF market, the study compares the Indian ETF market to the US wherever possible on both a qualitative and quantitative basis. That’s how the paper’s laid out. After a quick introduction to ETFs and their history in India, the study looks in detail at how the market is structured and who the major players in the market in detail. These two sections outline the industry’s tailwinds and headwinds. There are certain policy ideas that might help the business grow further. The findings of the study stated that US ETF are more traded in volume in comparison to Indian ETF.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1763 - 1777"},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45093416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Women perspective of shifting paradigms towards online shopping","authors":"Nisha Singh, Archana Bhatia","doi":"10.1080/02522667.2022.2128517","DOIUrl":"https://doi.org/10.1080/02522667.2022.2128517","url":null,"abstract":"Abstract Online shopping is a method of purchasing goods and services from the comfort of one’s own home, office, or any other location with internet access. It is the shifting paradigm of offline to online shopping scenario, specially in the Covid era when everybody in the whole world were forced to stay at their homes to be safe and movement was allowed only to buy groceries for stipulated period. The purpose of this study is to analyze the shifting paradigm of shopping from offline to online from the women perspective. The judgmental non probability sampling approach was used to gather cross-sectional primary data from online and offline women shoppers of the country. The questionnaire is prepared with the help of a literature review and experts. In order to understand the preferences of customer, discriminant analysis is applied on the collected responses of 200 women customers from metro cities of the country using SPSS software. The response data consists of the ratings provided by the women consumers for the different mode of shopping. It is compared with the help of Descriptive Statistics, Discriminant Analysis, Wilks Lambda, F stats and its p value. In the study the fifteen attributes are considered for comparing the preferences of women for shopping and found that out of fifteen attributes eight attributes are considered by women customers for online shopping, six for offline and in one attributes their preferences for online and offline shopping is almost same.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1561 - 1572"},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41775275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Competency mapping building a competent workforce through human resource information system","authors":"Jayasri Puli, Srilalitha Sagi","doi":"10.1080/02522667.2022.2140261","DOIUrl":"https://doi.org/10.1080/02522667.2022.2140261","url":null,"abstract":"Abstract Purpose: The paper focuses especially on competence mapping, a probable method for enhancing the performance of employees in a corporation by the use of the Human useful resource facts gadget (HRIS). Theoretical framework: Competency mapping is the technique of figuring out key abilities for a company or manner and incorporating those capabilities into diverse approaches such as technique evaluation, schooling, and organizational recruitment. Over the years, highly professional and knowledge based jobs are growing, whilst low-professional jobs are cutting (Mathur & Rawat, 2020). This calls for future skill mapping by proper human resource management initiatives. Methodology: Primary data is used for the study. However secondary data has also been used. Data on employee competence have been accrued from organization information, private interactions with employees, their supervisors, colleagues and employees of different departments. For this motive, several parameters of attributes, capabilities and expertise were compiled in accordance with HR suggestions and process roles that have been authorized by using HRIS of HR department. Later we have performed some statistical analysis by various statistical tools. Findings: In our study, we have found that attributes, skills and knowledge which are related to competency mapping can be increased by Human Resource Information System if it is properly managed.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1885 - 1899"},"PeriodicalIF":1.4,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43402702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generalized power Weibull software reliability growth model","authors":"M. Hanifatu, Suleman Nasiru, D. Jakperik","doi":"10.1080/02522667.2022.2088075","DOIUrl":"https://doi.org/10.1080/02522667.2022.2088075","url":null,"abstract":"Abstract Software usage in various industries and homes forms part of our daily lives. Thus, performing quality control checks on developed software by software engineers is essential to both the developer and the users. The general idea of software reliability as a quality control check is very important to both the producer and the consumer. This paper offers a Generalized Power Weibull software reliability growth model that takes environmental factors into account. The applications of the proposed software reliability growth model reveals that it performs better than some of the existing competing models. Finally, a sequential probability ratio test for the proposed model was developed for monitoring of reliability data.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1987 - 2006"},"PeriodicalIF":1.4,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48229430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improved and secure framework for existing e-Bazaar model in Rajasthan","authors":"Yashpal Soni, G. Gandhi, Dinesh Goyal","doi":"10.1080/02522667.2022.2111042","DOIUrl":"https://doi.org/10.1080/02522667.2022.2111042","url":null,"abstract":"Abstract Indian rural workforce ensures remarkable art forms and craft production for livelihood and also increases employability. Rajasthan is far ahead in the same and its rural production of blue pottery, handicrafts etc has been quite popular and yet unorganized and decentralized, that deserves lot of scaling across the world. Inorder to provide market place to this unorganized sector, e-commerce scheme with the name e-bazaar has been launched by Rajasthan Government. This paper reviews the e-bazaar platform of GoR and its impact on the users and challenges faced by it and propose a secure and improved framework for making e-bazaar a successful & more useful platform for facilitating the B2C model for the villagers across Rajasthan.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1975 - 1985"},"PeriodicalIF":1.4,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43124741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transformation of 1-D data to 2-D image using stochastic mapping method for secured skin lesion detection","authors":"Abhishek Das, M. Mohanty","doi":"10.1080/02522667.2022.2103294","DOIUrl":"https://doi.org/10.1080/02522667.2022.2103294","url":null,"abstract":"Abstract Mostly accurate medical diagnosis is performed from image data. Some of the complex diseases and their data are available from different gene structures. For detection purposes, the image is the accurate and secured form for analysis. In this work, the gene expressions are converted to 2-D images for further processing. The images are detected using a convolutional neural network. To convert the gene data into image data, encoding mapping through t-Distributed Stochastic Neighbor, Multi-dimensional scaling, and Locally linearly embedding is used. Further, the application of the Convex Hull algorithm forms the fixed boundary. The data set is collected from the Gene expression Omnibus of the NCBI platform. The CNN model provided 96.32% and 92.13% training and testing accuracies that show the effectiveness of data conversion in the field of skin cancer detection.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1915 - 1923"},"PeriodicalIF":1.4,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45190962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advanced EHR system in homes-in-schools’ automation using internet of things and machine learning","authors":"N. Duodu, Warish D. Patel","doi":"10.1080/02522667.2022.2094079","DOIUrl":"https://doi.org/10.1080/02522667.2022.2094079","url":null,"abstract":"Abstract Electronic Health Records (EHRs) are the health data collected and stored electronically for informative purposes in today’s healthcare to handle healthcare in patients’ hands, thereby reducing physical contact between healthcare seekers and providers. This paper reviews a complete health monitoring and health status reporting system using IoT technology to gather vital health statistics and machine learning to design an intelligent system. The proposed system will adopt IoT technology to collect health information from students in their residence and use a machine learning method to predict students’ health status from the institution’s Electronic Health Records before rendering health counselling services to students. It will also allow students to report health conditions to educational authorities on a complex Wireless Body Area Network to deploy Raspberry Pi 4B, sensors, cameras.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1953 - 1962"},"PeriodicalIF":1.4,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48419363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Debendra Kumar Sahoo, Abhishek Das, M. Mohanty, Satyasis Mishra
{"title":"Brain tumor detection using inpainting and deep ensemble model","authors":"Debendra Kumar Sahoo, Abhishek Das, M. Mohanty, Satyasis Mishra","doi":"10.1080/02522667.2022.2091094","DOIUrl":"https://doi.org/10.1080/02522667.2022.2091094","url":null,"abstract":"Abstract In this work, the authors have applied image inpainting on MRI images of the brain to highlight the tumors present in the image. These highlighted images are used for the training of the ensemble model. Three convolutional neural networks (CNNs) are used as the base classifier and their outputs are fed to a Multilayer Perceptron (MLP) for further training and final classification. Classification is done to check whether the brain is having a tumor or it is healthy using a data set that is available at Kaggle for open access. The proposed method provided 100% and 98.33% training and testing accuracies that show the effectiveness of applying inpainting on the data set images.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1925 - 1933"},"PeriodicalIF":1.4,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45286584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"E-learning for business resilience: A qualitative study in a mega MNC","authors":"Syed Rizwan Naqvi, Puja Sareen, Tanuja Sharma","doi":"10.1080/02522667.2022.2117330","DOIUrl":"https://doi.org/10.1080/02522667.2022.2117330","url":null,"abstract":"Abstract As of 2020, COVID-19 has impacted nearly all countries and about half of the world’s population. COVID-19 will have driven over half of the world’s population into a strict confinement lockdown by 2020. For the sake of the overall mental health of humanity, organizations have developed various coping strategies for mindfulness, such as e-learning. Genpact was the subject of a case-based inquiry for the study using secondary data. The study’s conclusion reveals that Genpact’s strategy for building organizational resilience in the face of a pandemic. The study adds to the literature in a novel way by performing a qualitative survey of Genpact, providing essential insights to HR policymakers, academics, and top management on how to create professional resilience.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1343 - 1352"},"PeriodicalIF":1.4,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48672869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Kumari, Shuchita Singh, Shilpa Bahl, Ravindra Sharma
{"title":"Impact of 16 PF global factors personality traits on perceptual biases of individual investors","authors":"A. Kumari, Shuchita Singh, Shilpa Bahl, Ravindra Sharma","doi":"10.1080/02522667.2022.2117324","DOIUrl":"https://doi.org/10.1080/02522667.2022.2117324","url":null,"abstract":"Abstract The present paper aims to investigate effects of 16 PF global factors personality (16 PF GFP) traits on individuals’ investment related perceptual biases. Data was collected from 206 subjects in India using likert5 point questionnaire and analysed performing factor analysis and regression test. Result indicated that 16 PF GFP influence positively investors’ perceptual biases. This is the only study that applied 16 PF GFP to understand investors’ perceptual biases.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1221 - 1231"},"PeriodicalIF":1.4,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43103961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}