Journal of Informatics Education and Research最新文献_第4页

A Resource-based view Assessment of Big Data Analysis and its Impact on Strategic Human Resources Quality Management Systems 基于资源观的大数据分析评估及其对战略性人力资源质量管理系统的影响

Journal of Informatics Education and Research Pub Date : 2024-05-01 DOI: 10.52783/jier.v4i2.847

Dr. Rushina Khan, Dr G Madhumita, K. Santhanalakshmi

{"title":"A Resource-based view Assessment of Big Data Analysis and its Impact on Strategic Human Resources Quality Management Systems","authors":"Dr. Rushina Khan, Dr G Madhumita, K. Santhanalakshmi","doi":"10.52783/jier.v4i2.847","DOIUrl":"https://doi.org/10.52783/jier.v4i2.847","url":null,"abstract":"This study considers the impact of big data analytic by a Resource-based view (RBV) framework on strategic HR Quality Management System (HR QMS). The study employed a mixed-method strategy to gather data of employees' performance metrics (quantitative) as well as HR professionals’ viewpoints (qualitative) through data analysis. Four machine learning algorithms, for instance Decision Trees, Random Forest, K-Means Clustering and Linear Regression were employed for the purpose of predicting and optimizing Human Resource outcomes. Study indicated the effectiveness of these algorithms in improving organizational productivity where Random Forest reached 89% correctness in predicting employee turnover and Linear Regression demonstrated a positive correlation (R-squared = 0.75) between the training hour and performance rating. Through a comparison with existing literature, the newness and relevance of the clinical data are stressed, going beyond well-known trends and into a cutting-edge analytical applications of big data analytics. The study symbolizes how big data analysis is capable of revolutionizing practices by emphasizing innovation, improving efficiencies, and learning decision making in the field of HR management.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141052834","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}

引用次数: 0

Ethical Considerations in AI-Driven User Interfaces 人工智能驱动的用户界面的伦理考量

Journal of Informatics Education and Research Pub Date : 2024-03-07 DOI: 10.52783/jier.v4i1.643

Prashant S. Acharya, Dr. Tripti Sahu, Pranav Dixit

引用次数: 0

Financial Literacy in Promoting Financial Investment Planning: A College Level Study 促进金融投资规划的金融扫盲：一项大学研究

Journal of Informatics Education and Research Pub Date : 2024-03-07 DOI: 10.52783/jier.v4i1.632

DR. A R. Nithya, Ms. Ragini, Ms. Preetha

引用次数: 0

Role Of Fintech Adoption on Banking Sector Efficiency: A Survey Based Research Approach 采用金融科技对银行业效率的影响：基于调查的研究方法

Journal of Informatics Education and Research Pub Date : 2024-03-07 DOI: 10.52783/jier.v4i1.636

Dr. Anand Muley, Rekha Bawa, Parul Verma, Dr. S. M. Uvaneswaran

{"title":"Role Of Fintech Adoption on Banking Sector Efficiency: A Survey Based Research Approach","authors":"Dr. Anand Muley, Rekha Bawa, Parul Verma, Dr. S. M. Uvaneswaran","doi":"10.52783/jier.v4i1.636","DOIUrl":"https://doi.org/10.52783/jier.v4i1.636","url":null,"abstract":"Comparing financial technology businesses during the fourth industrial age to their counterparts, this study investigates the effects of these companies adhering to effective manufacturing practices. The objective is to offer actual proof of the operational effectiveness of FinTech companies and how business efficiency affects market performance. FinTech has to pass through different business models to attain the maturity as a successful pure player actor. This demonstrates that FinTech innovations improve banks' performance using several panel data estimators, including panel-corrected standard errors for linear regression, fixed effects, and random effects. Furthermore, it also show that the proportion of capital that is adequate, earnings capacity, total assets, and yearly GDP growth rate of banks also have a noteworthy beneficial influence on bank performance. By using a balanced scorecard to examine financial points of view, customer perspectives, business internal perspectives, education and growth perspectives, and competitive advantage in services growth and development, monetary advantage, and economic inclusion when implementing FinTech, this study seeks to understand the impact of these factors on banks' performance. A sample of 259 respondents was collected from people working in banking sector. The variables that identify the role of Fintech adoption on banking sector efficiency are Financial Inclusion, Data Analytics and Insights, Cost Reduction, and Improved Customer Experience.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140077251","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}

引用次数: 0

Innovation and Inclusion: The role of persons with disabilities in sustainable development in India 创新与包容：残疾人在印度可持续发展中的作用

Journal of Informatics Education and Research Pub Date : 2024-03-07 DOI: 10.52783/jier.v4i1.645

Dilpreet Singh Guleria, Preeti Malhotra, Dilpreet Singh Guleria

引用次数: 0

Factors Influencing Adoption of E-Banking Services in Selected Areas of Gujarat 古吉拉特邦部分地区采用电子银行服务的影响因素

Journal of Informatics Education and Research Pub Date : 2024-03-01 DOI: 10.52783/jier.v4i1.622

Dr. Nandish Upadhyay, Dr. Sanjay Joshi

{"title":"Factors Influencing Adoption of E-Banking Services in Selected Areas of Gujarat","authors":"Dr. Nandish Upadhyay, Dr. Sanjay Joshi","doi":"10.52783/jier.v4i1.622","DOIUrl":"https://doi.org/10.52783/jier.v4i1.622","url":null,"abstract":"In the contemporary era, the rapid evolution of technology has ushered in a paradigm shift in the way individuals manage their financial transactions. Among the myriad advancements, the adoption of mobile banking applications stands out as a transformative force, redefining the landscape of banking services. The present study tried to study the awareness of mobile banking services of banking applications and to ascertain the factors influencing consumer behavior adoption of Mobile. Further study carried out to study the association among demographic variables regarding factors studied for consumer behaviour adoption of mobile. In conclusion, the analysis of customers' preferences underscores a moderate response to the mobile banking application. While the current features of the application are satisfactory, customers express a desire for additional features akin to those found in alternative mobile banking applications such as SBI and HDFC. The prevailing perception among customers is that the application offered by Kotak Mahindra Bank is characterized by basic and uncomplicated features. Despite this, customer satisfaction with the Mobile Banking Application remains notably high, attributed to an extensive array of features and services. This observation accentuates the importance of ongoing efforts to enhance the mobile banking application in alignment with evolving customer expectations and industry standards. \u0000 ","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140084553","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}

引用次数: 0

“The Impact of Participation in The MGNREGS On Beneficiaries-A Study in Select Districts of Telangana” "参与 MGNREGS 对受益人的影响--对 Telangana 部分地区的研究"

Journal of Informatics Education and Research Pub Date : 2024-03-01 DOI: 10.52783/jier.v4i1.620

Dr. D. Gnyaneswer, J. Lavanya, K. Naveen Kumar

{"title":"“The Impact of Participation in The MGNREGS On Beneficiaries-A Study in Select Districts of Telangana”","authors":"Dr. D. Gnyaneswer, J. Lavanya, K. Naveen Kumar","doi":"10.52783/jier.v4i1.620","DOIUrl":"https://doi.org/10.52783/jier.v4i1.620","url":null,"abstract":"Since backward and rural employment and village development are essential to India's growth, the MGNREGA actively promotes backward and rural development by hiring unskilled labor. The MGNREGA helps BPL families by filling in the gaps in inflation and giving them seasonal work during dry spells. MGNREGS offers beneficiaries a chance to advance their socioeconomic status. \u0000Objectives of the present study: To study the impact t of no of years, no of days and daily wages received of beneficiaries on economic, social and living status of beneficiaries. \u0000Methodology: the study is depending on primary data source and data is collected with the help of structured schedule. For the study sample size is 364 respondents. The methods used in this research is regression model with help of SPSS. Findings: The result of the study are about 53% of the living status of the beneficiaries is impacted by the daily wages received the impact is also statistical significant and about 70% of the social status of the beneficiaries is impacted by the daily wages received, \u0000Suggestions: It is suggested that the wage rates under the MGNREGS need to be revised periodically to improve the living status of the beneficiaries.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140085446","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}

引用次数: 0

Understanding the role of Leisure Involvement and Choice Complexity on Choice overload in booking of leisure activities online among Young Consumers 了解休闲参与和选择复杂性对青年消费者网上预订休闲活动的选择超载所起的作用

Journal of Informatics Education and Research Pub Date : 2024-03-01 DOI: 10.52783/jier.v4i1.621

Aditi Saurav, Priyanka Sahoo, Rakesh Gandla, Lalith Kumar Vemali, Mechri Saravanan Pallavi, Vihang Golla

引用次数: 0

A Model for Teaching and Evaluation of Programming Courses in Online mode 在线模式下的程序设计课程教学与评估模型

Journal of Informatics Education and Research Pub Date : 2024-03-01 DOI: 10.52783/jier.v4i1.623

Devesh Lowe, Bhavna Galhotra

引用次数: 0

Machine Learning-Based Risk Management of Credit Sales in Small and Midsize Business 基于机器学习的中小型企业信用销售风险管理

Journal of Informatics Education and Research Pub Date : 2024-02-18 DOI: 10.52783/jier.v4i1.583

Dr. Rojalin Pani, Dr. M. Rajendaran, Rishabh Kumar, Nidhi Mishra, Dr. K. Suresh Kumar, Prof (Dr) Sumeet Gupta

{"title":"Machine Learning-Based Risk Management of Credit Sales in Small and Midsize Business","authors":"Dr. Rojalin Pani, Dr. M. Rajendaran, Rishabh Kumar, Nidhi Mishra, Dr. K. Suresh Kumar, Prof (Dr) Sumeet Gupta","doi":"10.52783/jier.v4i1.583","DOIUrl":"https://doi.org/10.52783/jier.v4i1.583","url":null,"abstract":"Sustaining and expanding the finances of small and midsize companies (SMBs) depends on efficient credit risk management. This study redefines credit risk assessment for SMBs via the use of machine learning (ML), hence introducing a disruptive methodology. The all-inclusive approach includes feature selection, preprocessing, data collecting, and the use of ML models, with an emphasis on behavioral insights integration and real-world applicability. The results imply that Random Forests and other machine learning models are superior at predicting credit risk, which may lead to a sea shift in the way SMBs handle credit risk. Improving the research's practical implications involves applying models to actual credit risk management systems and incorporating insights from behavioral economics. Possible future research directions include studying how models adapt dynamically, using different types of data, enhancing explain ability via XAI, and fostering collaborative efforts to develop industry-specific best practices. By outlining the ins and outs of credit sales, this research helps small and medium-sized companies (SMBs) adjust and remain resilient in the face of changing market conditions.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139959544","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}

引用次数: 0