Journal of Informatics Education and Research最新文献_第3页

Rise of Artificial Intelligence in Business and Industry 人工智能在工商业中的崛起

Journal of Informatics Education and Research Pub Date : 2024-05-01 DOI: 10.52783/jier.v4i2.850

Dr Subhadra P.S, Dr. A. Kalaivani, Dr. Rohit Markan, Ramesh Kumar, Dr Sundarapandiyan Natarajan, M. Rajalakshmi

{"title":"Rise of Artificial Intelligence in Business and Industry","authors":"Dr Subhadra P.S, Dr. A. Kalaivani, Dr. Rohit Markan, Ramesh Kumar, Dr Sundarapandiyan Natarajan, M. Rajalakshmi","doi":"10.52783/jier.v4i2.850","DOIUrl":"https://doi.org/10.52783/jier.v4i2.850","url":null,"abstract":"The integration of artificial intelligence (AI) into business and industry is catalyzing a paradigm shift in how organizations operate, innovate, and interact with stakeholders. This abstract explores the multifaceted implications of AI across various domains, highlighting its role in automation, predictive analytics, personalized customer experiences, supply chain optimization, enhanced decision-making, natural language processing, product innovation, risk management, fraud detection, healthcare advancements, and workforce augmentation. By leveraging AI technologies, businesses can automate repetitive tasks, anticipate trends, tailor experiences, optimize operations, mitigate risks, and foster innovation. However, the widespread adoption of AI also poses ethical and societal challenges, including concerns about job displacement, data privacy, and algorithmic bias. Therefore, a holistic approach that balances technological advancement with ethical considerations is essential to harness the full potential of AI while ensuring its responsible and equitable deployment in business and industry.","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":"141052532","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

AI-Powered Strategies for Talent Management Optimization 人工智能驱动的人才管理优化战略

Journal of Informatics Education and Research Pub Date : 2024-05-01 DOI: 10.52783/jier.v4i2.848

Dr Sundarapandiyan Natarajan, Dr. Korapu Sattibabu, Dr. Borugadda Subbaiah, Dr. D. Paul Dhinakaran, J. Rashmi Kumar, M. Rajalakshmi

{"title":"AI-Powered Strategies for Talent Management Optimization","authors":"Dr Sundarapandiyan Natarajan, Dr. Korapu Sattibabu, Dr. Borugadda Subbaiah, Dr. D. Paul Dhinakaran, J. Rashmi Kumar, M. Rajalakshmi","doi":"10.52783/jier.v4i2.848","DOIUrl":"https://doi.org/10.52783/jier.v4i2.848","url":null,"abstract":"In today's dynamic and competitive business landscape, effective talent management is paramount for organizational success. This paper explores the integration of artificial intelligence (AI) technologies into talent management practices to optimize recruitment, development, and retention processes. Through a comprehensive review of existing literature and case studies, we elucidate various AI-powered strategies for talent management optimization. These strategies encompass AI-driven recruitment, predictive analytics for talent acquisition, personalized learning and development initiatives, AI-enhanced performance management and feedback systems, retention strategies, succession planning, and diversity and inclusion initiatives. By harnessing AI capabilities, organizations can enhance decision-making, improve efficiency, mitigate bias, and foster a more inclusive and agile workforce. The implications of AI adoption in talent management are discussed, highlighting opportunities for innovation and potential challenges to address. Ultimately, this paper provides insights for HR professionals, business leaders, and researchers into leveraging AI for strategic talent management optimization in the digital age.","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":"141054920","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

Impact of IOT On Campus; Smart Student Information System In The Educational Sector 物联网对校园的影响；教育部门的智能学生信息系统

Journal of Informatics Education and Research Pub Date : 2024-05-01 DOI: 10.52783/jier.v4i2.836

Dr. V. Arunkumar, Dr. V. Rengarajan, Dr. V. Vijay Anand, Dr. K. A. Shreenivasan, Prof. S. Thiyagarajan, Prof. R. Swaminathan

{"title":"Impact of IOT On Campus; Smart Student Information System In The Educational Sector","authors":"Dr. V. Arunkumar, Dr. V. Rengarajan, Dr. V. Vijay Anand, Dr. K. A. Shreenivasan, Prof. S. Thiyagarajan, Prof. R. Swaminathan","doi":"10.52783/jier.v4i2.836","DOIUrl":"https://doi.org/10.52783/jier.v4i2.836","url":null,"abstract":"The evolution of smart technology has led to significant advancements in various aspects of urban infrastructure, including the management of educational campuses. Through the integration of comprehensive dashboards, decision-makers can access essential information related to building performance, occupancy rates, energy consumption, and maintenance needs. The study underscores the potential of smart campus management systems to optimize resource allocation, improve operational workflows, and create more responsive environments to meet the evolving needs of stakeholders within educational institutions. The usage of IoT in smart campuses, aiming to identify key trends, applications, challenges, and future directions in this domain. The proliferation of IoT technologies has sparked interest in their application within educational settings, leading to the emergence of smart campuses. By connecting physical objects and systems to the internet, IoT enables the collection, analysis, and utilization of real-time data to enhance campus efficiency, sustainability, and user experience. This systematic literature review aims to provide insights into the usage of IoT on smart campuses, shedding light on its applications, benefits, challenges, and future prospects.","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":"141039186","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

Driving Business Growth from Research to Innovation in The Deployment of Business Intelligence 从研究到创新，在商业智能部署中推动业务增长

Journal of Informatics Education and Research Pub Date : 2024-05-01 DOI: 10.52783/jier.v4i2.840

Dr. Ch Sudipta Kishore Nanda, Dr. R. Naveenkumar, Dr. Sameera Asif Siddiqui, Dr. Supriya Pathak, Uday Pratap Singh, Dr. Varsha Bihade

{"title":"Driving Business Growth from Research to Innovation in The Deployment of Business Intelligence","authors":"Dr. Ch Sudipta Kishore Nanda, Dr. R. Naveenkumar, Dr. Sameera Asif Siddiqui, Dr. Supriya Pathak, Uday Pratap Singh, Dr. Varsha Bihade","doi":"10.52783/jier.v4i2.840","DOIUrl":"https://doi.org/10.52783/jier.v4i2.840","url":null,"abstract":"This research evaluates a company's development and performance based on its intelligence and BI utilization. A study using quantitative poll data from numerous firms examines the relationship between leveraging business knowledge, promoting innovation, and important performance metrics. The findings demonstrate that BI adoption and receptivity to new ideas improve corporate development. Companies that invest heavily in business intelligence (BI) programmes and foster innovation generally outperform their rivals in sales, earnings, and market share. Creative thinking and business knowledge are crucial to corporate success, according to the findings. These gives workers’ suggestions on how to work faster and more creatively. More research, sector-specific analysis, and continuing studies are needed to determine how innovation culture and BI adoption effect firm performance. Finally, this research adds to what is already known about how BI adoption and innovation culture effect firm performance in today's competitive business environment.","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":"141054908","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

Machine Learning Based Risk Management of Credit Sales in Small and Mid-Size 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 : 2024-05-01 DOI: 10.52783/jier.v4i2.842

Dr. Manjula Shastri, Dr. Surajit Das, Akansh Garg, Mr. Gourab Dutta, Ms. Aneeqa, Dr. Abhishek Tripathi

引用次数: 0

A Study on HR Analytical Tools and Techniques 人力资源分析工具和技术研究

Journal of Informatics Education and Research Pub Date : 2024-05-01 DOI: 10.52783/jier.v4i2.839

Vidya Nayak, Dr. Shankar Chaudhary, Dr. Chitralekha Kumar

引用次数: 0

Analyzing The Role of Digital Marketing in Growth of E-Commerce in India: A Multiple Holistic Approach 分析数字营销在印度电子商务增长中的作用：多重整体方法

Journal of Informatics Education and Research Pub Date : 2024-05-01 DOI: 10.52783/jier.v4i2.835

Dr. Rajalakshmi Anantharaman, Dr. Badhusha M H N, Madhukumar. B, Dr. Subin Thomas, Dr. Prem Latha Soundarraj, Dr. Kumar Rahul

{"title":"Analyzing The Role of Digital Marketing in Growth of E-Commerce in India: A Multiple Holistic Approach","authors":"Dr. Rajalakshmi Anantharaman, Dr. Badhusha M H N, Madhukumar. B, Dr. Subin Thomas, Dr. Prem Latha Soundarraj, Dr. Kumar Rahul","doi":"10.52783/jier.v4i2.835","DOIUrl":"https://doi.org/10.52783/jier.v4i2.835","url":null,"abstract":"The study aim to explore and analyze the multifaceted relationship between digital marketing and e-commerce growth in the Indian context, considering various dimensions such as consumer behavior, technological advancements, regulatory frameworks, and market dynamics. However, while digital marketing is widely acknowledged as a critical driver of e-commerce growth, there exists a gap in understanding the specific mechanisms through which digital marketing influences the expansion of the e-commerce sector in India. The primary ways in which digital marketing influences consumer behavior in India is through personalized advertising and targeted messaging The role of digital marketing in driving the growth of e-commerce in India is a multifaceted phenomenon that requires in-depth analysis across various dimensions. By examining the impact of digital marketing on consumer behavior, technological innovations, regulatory frameworks, and market dynamics, this study aims to provide valuable insights for businesses, policymakers, and researchers seeking to understand and leverage the power of digital marketing in the Indian e-commerce landscape.","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":"141035644","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

Machine Learning and HRM: A Path to Efficient Workforce Management 机器学习与人力资源管理：高效劳动力管理之路

Journal of Informatics Education and Research Pub Date : 2024-05-01 DOI: 10.52783/jier.v4i2.841

Dr. Deepti Sharma, Dr. K. Sellvasundaram, Dr. Prasanta Chatterjee Biswas

{"title":"Machine Learning and HRM: A Path to Efficient Workforce Management","authors":"Dr. Deepti Sharma, Dr. K. Sellvasundaram, Dr. Prasanta Chatterjee Biswas","doi":"10.52783/jier.v4i2.841","DOIUrl":"https://doi.org/10.52783/jier.v4i2.841","url":null,"abstract":"The developments in human capital work that have occurred since machine intelligence (ML) was increased human resource management (HRM) are both good and bad. This essay looks at what HRM wealth, what questions it faces, and what potential it offers in this place age of AI and ML. In the beginning, we discuss how changes in data processing have transformed human resource management (HRM), focusing on in what way or manner AI and machine intelligence are becoming more influential in changeful HR processes. The goals concerning this study search out research what human capability administration is, how AI and ML influence it, how AI and ML will influence tasks from now on, and the pros and cons of utilizing ML in HRM. The composition review investigates excellent detail about the fundamental ideas of human property administration. It focuses on how the field has exchanged over opportunity from simple governmental tasks to crucial exertions to better member happiness, output, and the happiness of the association. In this part, we further talk about in what way or manner AI and ML have exchanged HR tasks like bringing in, directing act, and planning the trained workers. When people examine how AI and ML have transformed HRM, people can visualize that they may present family data-driven understandings, make HR tasks smooth, and manage smooth to handle operators and create decisions. But to catch the most out of machine intelligence in HRM, issues like partial data, bad data, and directing change need expected fixed.","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":"141042203","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

Towards a Framework for Performance Management and Machine Learning in a Higher Education Institution 建立高等教育机构绩效管理和机器学习框架

Journal of Informatics Education and Research Pub Date : 2024-05-01 DOI: 10.52783/jier.v4i2.844

Joyir Siram, Dr Gurmeet singh sikh, Dr Joel Osei-Asiamah, Dr. Chikati Srinu, Dr. Surendar Vaddepalli, Dr. Abhishek Tripathi

{"title":"Towards a Framework for Performance Management and Machine Learning in a Higher Education Institution","authors":"Joyir Siram, Dr Gurmeet singh sikh, Dr Joel Osei-Asiamah, Dr. Chikati Srinu, Dr. Surendar Vaddepalli, Dr. Abhishek Tripathi","doi":"10.52783/jier.v4i2.844","DOIUrl":"https://doi.org/10.52783/jier.v4i2.844","url":null,"abstract":"This paper proposes a new structure for management and machine learning in higher education institutions, which is designed to improve the efficiency of an organization and the success of the students at a whole. The framework brings about the enactment of several analytical techniques, like predictive modeling and data-driven decision making, which help to make accurate strategies for planning and providing continuous improvement. Four algorithms in machine learning- Linear Regression, Decision Tree, Random Forest and Multilayer Perceptron- are compared to see if they predict important performance markers for student success, faculty productivity and institutional efficiency. The results illustrate the Multilayer Perceptron algorithm as the best performer, getting MSE of 0.018 and MAE of 0.105, while R2 score of 0.842, showing the superiority of MLP over the others. Validation studies done comparing it with base line models or related models in the field are proof that the suggested model is widely applicable among the higher education spectrum in dealing with the involved issues. The imaginable framework seems to be a prospective tool for stimulating creativity, inclusion, and eminence in academia while adding to the knowledge acquisition and achieving institute objectives.","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":"141041583","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

Significant Role of Digital Marketing Strategies in Driving Business Growth, Success and Customer Experience 数字营销战略在推动业务增长、成功和客户体验方面的重要作用

Journal of Informatics Education and Research Pub Date : 2024-05-01 DOI: 10.52783/jier.v4i2.837

Swapna Datta Khan, Madhukumar. B, Maria Antony Raj M, Dr. Karthick R, Dr Shagufta Parween, Dr Balamurugan S

{"title":"Significant Role of Digital Marketing Strategies in Driving Business Growth, Success and Customer Experience","authors":"Swapna Datta Khan, Madhukumar. B, Maria Antony Raj M, Dr. Karthick R, Dr Shagufta Parween, Dr Balamurugan S","doi":"10.52783/jier.v4i2.837","DOIUrl":"https://doi.org/10.52783/jier.v4i2.837","url":null,"abstract":"In the current era of technology, organizations encounter the crucial obstacle of efficiently utilizing digital marketing tactics to stimulate expansion, guarantee achievement, and improve client satisfaction. In today's digital era, companies face intense competitions in the online realm, where being visible, engaging, and converting customers are of utmost importance. Nevertheless, several firms have challenges in creating and implementing digital marketing strategies that are in line with their goals, appeal to their intended audience, and provide measurable outcomes. An important concern is the fast advancement of digital marketing platforms and technology, which may inundate firms. In order to be competitive and achieve sustainable development, companies must constantly adapt and modify their tactics due to the intricate and ever-changing nature of digital marketing. To tackle these difficulties, it is essential to adopt a complete strategy that combines data-driven analysis, innovative content creation, and a customer-focused attitude. This will enable the delivery of engaging experiences that connect with customers in the digital realm.","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":"141058503","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