Shagun Sharma, K. R. Gola, Nishtha Ujjawal, Manisha Gupta, Sadhana Tiwari
E-wallets have been widely adopted as a convenient mode of payment. However, there are still many consumers who are hesitant to use e-wallets due to various reasons. Personal Innovativeness (PI) is a key factor in whether consumers use new technologies, such as e-wallets. This study shows the relationship of Personal Innovativeness (PI) that affects e-wallet use, and how Personal Innovativeness (PI) affects consumers’ views of e-wallets and their willingness to adopt and use this technology. A survey was conducted among a sample of 350 respondents in the age range of 18 to 50 years old. The findings of the research demonstrated that personal Innovativeness has a significant impact on e-wallet use. People with higher Personal Innovativeness (PI) are likelier to use e-wallets. The research suggests that companies that make and market e-wallets should consider PI when making and promoting their solutions to make them more popular and used. The results show that e-wallets should focus on users with higher PI and highlight their creative and easy features. This method could involve custom marketing to increase user engagement and the benefits of e-wallets. The data could also be used to develop new ways to market e-wallets and get more customers to use them.
{"title":"Examine the moderating effect of personal innovativeness on e-wallets usage: An empirical study","authors":"Shagun Sharma, K. R. Gola, Nishtha Ujjawal, Manisha Gupta, Sadhana Tiwari","doi":"10.47974/jsms-1167","DOIUrl":"https://doi.org/10.47974/jsms-1167","url":null,"abstract":"E-wallets have been widely adopted as a convenient mode of payment. However, there are still many consumers who are hesitant to use e-wallets due to various reasons. Personal Innovativeness (PI) is a key factor in whether consumers use new technologies, such as e-wallets. This study shows the relationship of Personal Innovativeness (PI) that affects e-wallet use, and how Personal Innovativeness (PI) affects consumers’ views of e-wallets and their willingness to adopt and use this technology. A survey was conducted among a sample of 350 respondents in the age range of 18 to 50 years old. The findings of the research demonstrated that personal Innovativeness has a significant impact on e-wallet use. People with higher Personal Innovativeness (PI) are likelier to use e-wallets. The research suggests that companies that make and market e-wallets should consider PI when making and promoting their solutions to make them more popular and used. The results show that e-wallets should focus on users with higher PI and highlight their creative and easy features. This method could involve custom marketing to increase user engagement and the benefits of e-wallets. The data could also be used to develop new ways to market e-wallets and get more customers to use them.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135843636","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}
Trust, in B2C e-commerce, has been recognized as an important barrier because of the transaction - that involves sharing of personal and financial data. It is well established that an absence of consumer online trust can have a negative impact on e-commerce, whereas unwavering trust climate can lead to business growth. This manuscript conducts a literature review and lists the determinants of trust in B2C e-commerce. The researchers intend to propose a conceptual framework for studying trust as well as segmenting consumers in the context of B2C e-commerce. This paper identifies 4 trust based consumer segments with the help of an empirical research. Proper segmentation will support brands and the marketing function in the formulation of appropriate targeting strategies to improve consumer conversion.
{"title":"Segmenting B2C e-commerce consumers on the basis of consumer trust","authors":"Akhilesh Singh Gusain, Rahul Gupta, Deepak Khazanchi","doi":"10.47974/jsms-1180","DOIUrl":"https://doi.org/10.47974/jsms-1180","url":null,"abstract":"Trust, in B2C e-commerce, has been recognized as an important barrier because of the transaction - that involves sharing of personal and financial data. It is well established that an absence of consumer online trust can have a negative impact on e-commerce, whereas unwavering trust climate can lead to business growth. This manuscript conducts a literature review and lists the determinants of trust in B2C e-commerce. The researchers intend to propose a conceptual framework for studying trust as well as segmenting consumers in the context of B2C e-commerce. This paper identifies 4 trust based consumer segments with the help of an empirical research. Proper segmentation will support brands and the marketing function in the formulation of appropriate targeting strategies to improve consumer conversion.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135843782","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}
N. Shobha, T. Asha, K. Seemanthini, V. Jagadishwari
The precipitation level, a vital agro meteorological factor, holds immense significance in the decision-making process for the promotion of sustainable agriculture, preserving natural resources and improving quality of life. Rainfall prediction is necessary to explore crop environment relationship, water availability, soil erosion, floods and drought disasters. By leveraging Artificial Neural Networks (ANNs) and Autoregressive Integrated Moving Average (ARIMA) techniques, the proposed method utilizes ten input parameters and day-to-day meteorological observations to accurately forecast rainfall events at the Bengaluru station from 2013 to 2017. ANN method is also used to find an outlier during non-monsoon season. The suggested ARIMA model c(2,0,2) forecast daily rainfall 3 days in advance and c(1,0,0) anticipate monthly rainfall 5 months in prior. The model evaluation results are tabulated separately with MSE, RMSE, MAE and R2 values.
{"title":"Rainfall and outlier rain prediction with ARIMA and ANN models","authors":"N. Shobha, T. Asha, K. Seemanthini, V. Jagadishwari","doi":"10.47974/jsms-1151","DOIUrl":"https://doi.org/10.47974/jsms-1151","url":null,"abstract":"The precipitation level, a vital agro meteorological factor, holds immense significance in the decision-making process for the promotion of sustainable agriculture, preserving natural resources and improving quality of life. Rainfall prediction is necessary to explore crop environment relationship, water availability, soil erosion, floods and drought disasters. By leveraging Artificial Neural Networks (ANNs) and Autoregressive Integrated Moving Average (ARIMA) techniques, the proposed method utilizes ten input parameters and day-to-day meteorological observations to accurately forecast rainfall events at the Bengaluru station from 2013 to 2017. ANN method is also used to find an outlier during non-monsoon season. The suggested ARIMA model c(2,0,2) forecast daily rainfall 3 days in advance and c(1,0,0) anticipate monthly rainfall 5 months in prior. The model evaluation results are tabulated separately with MSE, RMSE, MAE and R2 values.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135105415","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}
Since the beginning of time, scholars have been interested in developing more precise predictive models because of the significance of stock price prediction in banking and economics. In this study, the price of AirAsia’s shares is predicted using the ARIMA model, a time-series analytic tool included in prediction algorithms. The technique of AirAsia’s stock price forecasting utilising the ARIMA model is demonstrated in the current study paper. Stock price forecasting using the ARIMA model has been done using historical stock data (July 2021) and it run them under Monte Carlo Simulation from Covid-19. It demonstrates that the ARIMA model’s results are more accurate for short-term forecasting and may be supported by current strategies for stock price redaction during COVID-19.
{"title":"Time series forecasting of stock price of AirAsia Berhad using ARIMA model during COVID- 19","authors":"Rakesh Kumar Singh, Vijay Kumar Verma, Nitendra Kumar, Priyanka Agarwal, Sadhana Tiwari","doi":"10.47974/jsms-1189","DOIUrl":"https://doi.org/10.47974/jsms-1189","url":null,"abstract":"Since the beginning of time, scholars have been interested in developing more precise predictive models because of the significance of stock price prediction in banking and economics. In this study, the price of AirAsia’s shares is predicted using the ARIMA model, a time-series analytic tool included in prediction algorithms. The technique of AirAsia’s stock price forecasting utilising the ARIMA model is demonstrated in the current study paper. Stock price forecasting using the ARIMA model has been done using historical stock data (July 2021) and it run them under Monte Carlo Simulation from Covid-19. It demonstrates that the ARIMA model’s results are more accurate for short-term forecasting and may be supported by current strategies for stock price redaction during COVID-19.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135106504","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. D. Gaikwad, K. R. Singh, S. D. Kamble, Vikas Chouhan
A wide variety of scheduling models have been proposed by researchers over the years, and each of them has varying performance in terms of deadline hit ratio, scheduling effort, efficiency of task mapping, etc. However, these models are highly context-sensitive and cannot be scaled to heterogeneous task types due to their internal mapping characteristics. To improve task scalability, this work proposes a design of a novel deadline-aware task scheduling model that uses augmented ensemble pattern analysis for task clustering. The pattern analysis module uses a combination of K-means, hierarchical, and Fuzzy C Means (FCM) clustering to effectively segregate tasks depending on their completion and deadline parameters. These tasks are given to a modified deadline-aware League Championship Algorithm (LCA) optimizer, which assists in mapping the clustered tasks with worker threads. The modified LCA model uses a combination of task priority, task deadline, and worker capacity for scheduling. The model maps tasks that require higher execution effort with moderately performing worker nodes, while tasks with nearer deadlines are allotted to higher-performance workers. Due to the use of an ensemble augmented pattern analyzer with a modified LCA optimizer, the proposed model can improve execution speed by 8%, deadline hit ratio by 1.5%, and scheduling efficiency by 6.5% when compared with various state-of-the-art scheduling approaches. The proposed model was evaluated and showcased a deadline hit ratio of 99.95%, computational efficiency of 96.26%, and average task-scheduling delay of less than 0.1 ms, which makes it highly useful for a wide variety of task scheduling application scenarios.
{"title":"NDTAEP: Design of a novel deadline-aware task scheduling model using augmented ensemble pattern analysis","authors":"A. D. Gaikwad, K. R. Singh, S. D. Kamble, Vikas Chouhan","doi":"10.47974/jsms-1078","DOIUrl":"https://doi.org/10.47974/jsms-1078","url":null,"abstract":"A wide variety of scheduling models have been proposed by researchers over the years, and each of them has varying performance in terms of deadline hit ratio, scheduling effort, efficiency of task mapping, etc. However, these models are highly context-sensitive and cannot be scaled to heterogeneous task types due to their internal mapping characteristics. To improve task scalability, this work proposes a design of a novel deadline-aware task scheduling model that uses augmented ensemble pattern analysis for task clustering. The pattern analysis module uses a combination of K-means, hierarchical, and Fuzzy C Means (FCM) clustering to effectively segregate tasks depending on their completion and deadline parameters. These tasks are given to a modified deadline-aware League Championship Algorithm (LCA) optimizer, which assists in mapping the clustered tasks with worker threads. The modified LCA model uses a combination of task priority, task deadline, and worker capacity for scheduling. The model maps tasks that require higher execution effort with moderately performing worker nodes, while tasks with nearer deadlines are allotted to higher-performance workers. Due to the use of an ensemble augmented pattern analyzer with a modified LCA optimizer, the proposed model can improve execution speed by 8%, deadline hit ratio by 1.5%, and scheduling efficiency by 6.5% when compared with various state-of-the-art scheduling approaches. The proposed model was evaluated and showcased a deadline hit ratio of 99.95%, computational efficiency of 96.26%, and average task-scheduling delay of less than 0.1 ms, which makes it highly useful for a wide variety of task scheduling application scenarios.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135107322","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}
The ‘future of work’ is a concept that has been used to describe the era of rapid automation and adoption of advanced technologies in industries and businesses. This ongoing advancement has resulted in concerns around job displacement, skill obsolescence, increased income and gender disparity, and how human and artificial intelligence would co-exist and shape the world. Although several research studies have explored these aspects in isolation of other factors, no attempt has been made to comprehensively map the research field so far. In this paper, we conduct a bibliometric analysis of 205 papers which appear in top business, economics, and management journals from 2000 to 2022. Biblioshiny, a web-based application included in the Bibliometrix package was used for the purposes of analysis. The software helped identify influential journals, authors, countries, articles, and themes. Additionally, network analysis helped map the conceptual, intellectual, and social structure of the shortlisted papers. We further develop a future research agenda for understanding technological change and ensuing labour market, skill set shifts. This paper and its findings contribute to the literature by offering a scientometric and systematic way to review ‘future of work’ and its impact on employee skill needs.
{"title":"A bibliometric analysis of research on ‘future of work’ and its impact on skills needed for jobs","authors":"Umang Preet Kaur Sahiwal, Vijit Chaturvedi, Ritu Gandhi Arora","doi":"10.47974/jsms-1176","DOIUrl":"https://doi.org/10.47974/jsms-1176","url":null,"abstract":"The ‘future of work’ is a concept that has been used to describe the era of rapid automation and adoption of advanced technologies in industries and businesses. This ongoing advancement has resulted in concerns around job displacement, skill obsolescence, increased income and gender disparity, and how human and artificial intelligence would co-exist and shape the world. Although several research studies have explored these aspects in isolation of other factors, no attempt has been made to comprehensively map the research field so far. In this paper, we conduct a bibliometric analysis of 205 papers which appear in top business, economics, and management journals from 2000 to 2022. Biblioshiny, a web-based application included in the Bibliometrix package was used for the purposes of analysis. The software helped identify influential journals, authors, countries, articles, and themes. Additionally, network analysis helped map the conceptual, intellectual, and social structure of the shortlisted papers. We further develop a future research agenda for understanding technological change and ensuing labour market, skill set shifts. This paper and its findings contribute to the literature by offering a scientometric and systematic way to review ‘future of work’ and its impact on employee skill needs.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135838529","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}
“Age inclusive Employee engagement” as a research construct foresees an extensive research background. The HR practices and their probable mediation in shaping the work environment and respective sustainable engagement in Indian IT firms is a novel construct and needs extensive dimensional and theoretical exploration. Age derived employee engagement as organizational resource is a research attribute of latest intellectual discourses. The study explored the ageing, mid-career concerns and organizational citizenship across employee in pre-retirement perspective and examined the employee engagement hassles and implications for leadership style mediation in IT companies. The sample frame comprises the 722 employees working across middle sized IT companies in age group 20-40. The study is based on the perceptions of the individual who were part of software delivery team with aid of laptops, desktops or other similar digital assets. The study concluded statistically significant impact of leadership style on the age inclusive employee engagement in middle sized IT firms.
{"title":"Ageing, mid-career concerns and organizational citizenship across employees in pre-retirement perspective: A study on employee engagement hassles and implications for leadership style mediation in Indian middle-sized IT firms","authors":"Swati Chawla, Puja Sareen, Sangeeta Gupta","doi":"10.47974/jsms-1159","DOIUrl":"https://doi.org/10.47974/jsms-1159","url":null,"abstract":"“Age inclusive Employee engagement” as a research construct foresees an extensive research background. The HR practices and their probable mediation in shaping the work environment and respective sustainable engagement in Indian IT firms is a novel construct and needs extensive dimensional and theoretical exploration. Age derived employee engagement as organizational resource is a research attribute of latest intellectual discourses. The study explored the ageing, mid-career concerns and organizational citizenship across employee in pre-retirement perspective and examined the employee engagement hassles and implications for leadership style mediation in IT companies. The sample frame comprises the 722 employees working across middle sized IT companies in age group 20-40. The study is based on the perceptions of the individual who were part of software delivery team with aid of laptops, desktops or other similar digital assets. The study concluded statistically significant impact of leadership style on the age inclusive employee engagement in middle sized IT firms.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135843043","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}
Background: To encourage economic and social progress, it is crucial to develop human capital and associate skill sets with job requirements. Due to the shift in necessary competencies and abilities, there is a discrepancy between what businesses demand and the professional profiles that are accessible in the labor market. COVID-19 has been the catalyst in accelerating the pace of change and affecting the job market. This has led to huge demand for upskilling and reskilling. Design/methodology/approach: A thorough study was carried out on 127 articles obtained from the SCOPUS database. These articles were collected by searching for the keyword “future skills” in Scopus. The study employed bibliometric techniques, to present a comprehensive view of future skill research, encompassing performance analysis and science mapping. Findings: The findings indicate a recent surge in research focused on future skills, and countries like United states and United Kingdom leading in this area. However, there remains ample room for further investigation, as outlined in this study. The majority of research on future skills is primarily associated with social sciences, business, management, and accounting disciplines. Originality/value: This paper stands out due to its pioneering approach in offering valuable insights into the present state of research on future skills. Additionally, by employing bibliometric analysis, it offers recommendations for potential future paths.
{"title":"Beyond technical know how: A bibliometric study of future soft skills","authors":"Vandana Kumari, Balvinder Shukla, Taranjeet Duggal","doi":"10.47974/jsms-1166","DOIUrl":"https://doi.org/10.47974/jsms-1166","url":null,"abstract":"Background: To encourage economic and social progress, it is crucial to develop human capital and associate skill sets with job requirements. Due to the shift in necessary competencies and abilities, there is a discrepancy between what businesses demand and the professional profiles that are accessible in the labor market. COVID-19 has been the catalyst in accelerating the pace of change and affecting the job market. This has led to huge demand for upskilling and reskilling. Design/methodology/approach: A thorough study was carried out on 127 articles obtained from the SCOPUS database. These articles were collected by searching for the keyword “future skills” in Scopus. The study employed bibliometric techniques, to present a comprehensive view of future skill research, encompassing performance analysis and science mapping. Findings: The findings indicate a recent surge in research focused on future skills, and countries like United states and United Kingdom leading in this area. However, there remains ample room for further investigation, as outlined in this study. The majority of research on future skills is primarily associated with social sciences, business, management, and accounting disciplines. Originality/value: This paper stands out due to its pioneering approach in offering valuable insights into the present state of research on future skills. Additionally, by employing bibliometric analysis, it offers recommendations for potential future paths.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135843621","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}
Land has been one of the most important sources for revenue to the local bodies, which is subject to value addition through infrastructure creation. Of late, value capture financing has become an important option for mobilizing infrastructural development finance by local urban bodies. Urban development cannot take place without construction of good roads, ensuring quality water supply, ensuring uninterrupted good quality electricity, provision of streetlights, development of drainage system etc. in a city.The present paper is an attempt to study the urbanization process through land development and ensure efficient tax collection by the State through involvement of private agencies and proper assessment of taxes on households. After introduction of self-assessment taxation process in 2015-16 it has been noticed that there is quantum jump in the collection of tax revenue, which has resulted in accelerating the process of urban development in major districts of the State. In the present paper, Ranchi Municipal Corporation are being considered for the study.
{"title":"Study of impact of VCF tool and effectiveness of PPP model for urban development ","authors":"Arun Kr. Singh, Sanjeev Bansal, Ajit Kumar Pandey","doi":"10.47974/jsms-1152","DOIUrl":"https://doi.org/10.47974/jsms-1152","url":null,"abstract":"Land has been one of the most important sources for revenue to the local bodies, which is subject to value addition through infrastructure creation. Of late, value capture financing has become an important option for mobilizing infrastructural development finance by local urban bodies. Urban development cannot take place without construction of good roads, ensuring quality water supply, ensuring uninterrupted good quality electricity, provision of streetlights, development of drainage system etc. in a city.The present paper is an attempt to study the urbanization process through land development and ensure efficient tax collection by the State through involvement of private agencies and proper assessment of taxes on households. After introduction of self-assessment taxation process in 2015-16 it has been noticed that there is quantum jump in the collection of tax revenue, which has resulted in accelerating the process of urban development in major districts of the State. In the present paper, Ranchi Municipal Corporation are being considered for the study.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844586","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}
Blockchain is an emerging technology in today’s real-time applications and database transaction systems—the primary motto is to determine transactional clarity to end-user without any fluctuation. According to the basic block policy, it is immutable or does not allow updating the existing transaction, which automatically maintains the security and transaction clarity. This paper proposes a system performance evaluation of various consensus algorithms in a distributed environment with a peer-to-peer network. The four different consensus algorithms have been evaluated in four peer nodes. Healthcare application has been successfully tested with the entire system. The first blockchain implementation has done in a Java environment with the custom hash generation, mining strategy, and smart contract for each level. Each algorithm provides different time complexity accordingly. The system evaluates the performance of four consensus algorithms sequentially and demonstrates the effectiveness and utilization of each algorithm according to the requirements.
{"title":"Enhancing security and ensuring secure performance: A performance evaluation of consensus algorithms in a distributed healthcare blockchain system","authors":"Vaibhav Nivrutti Patil, Vijay H. Kalmani","doi":"10.47974/jsms-1079","DOIUrl":"https://doi.org/10.47974/jsms-1079","url":null,"abstract":"Blockchain is an emerging technology in today’s real-time applications and database transaction systems—the primary motto is to determine transactional clarity to end-user without any fluctuation. According to the basic block policy, it is immutable or does not allow updating the existing transaction, which automatically maintains the security and transaction clarity. This paper proposes a system performance evaluation of various consensus algorithms in a distributed environment with a peer-to-peer network. The four different consensus algorithms have been evaluated in four peer nodes. Healthcare application has been successfully tested with the entire system. The first blockchain implementation has done in a Java environment with the custom hash generation, mining strategy, and smart contract for each level. Each algorithm provides different time complexity accordingly. The system evaluates the performance of four consensus algorithms sequentially and demonstrates the effectiveness and utilization of each algorithm according to the requirements.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135107327","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}
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