International Journal of Applied Engineering and Management Letters最新文献

{"title":"Credit Card Fraud Detection using Machine Learning and Data Mining Techniques - a Literature Survey","authors":"Devicharan Rai M., Jagadeesha S. N.","doi":"10.47992/ijaeml.2581.7000.0186","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0186","url":null,"abstract":"Purpose: To understand the algorithms used in Credit Card Fraud Detection (CCFD) using Machine Learning (ML) and Data Mining (DM) techniques, Review key findings in the area and come up with research gaps or unresolved problem. To become knowledgeable about the current discussions in the area of ML and DM.\u0000Design/Methodology/Approach: The survey on CCFD using ML and DM was conducted based on data from academic papers, web articles, conference proceedings, journals and other sources. Information is reviewed and analysed.\u0000Results/Findings: Identification of credit card fraud is essential for protecting a person's or an organization's assets. Even though we have various safeguards in place to prevent fraudulent activity, con artists may develop a method to get around the checkpoints. We must create straightforward and efficient algorithms employing ML and DM to anticipate fraudulent activities in advance.\u0000Originality/Value: Study of ML and DM algorithms in CCFD from diverse sources is done. This area needs study due to recent methods by fraudsters in digital crime have developed. The information acquired will be helpful for creating new methodologies or improving the outcomes of current algorithms.\u0000Type of Paper: Literature Review.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114174086","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":"A Lucid Analysis of the New Education Policy 2020","authors":"Nisha Bharadwaj, Pradeep M. D.","doi":"10.47992/ijaeml.2581.7000.0185","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0185","url":null,"abstract":"Purpose: To understand in a nutshell educational policy carried out after the independence of India. To accumulate information about educational reforms carried out in the last seven decades. To interpret the problems of the education sector. To find the existing gap between educational delivery and market demand. To find opportunities and avenues to effectively implement the new education policy in 2020. \u0000Research Design: The study uses descriptive research design by using secondary data including research articles published in international journals and books published from 2012 to 2023, which are available for search in the google scholar database. \u0000Result/Outcome/Findings of the Study: The paper highlights various educational policies and their lacunas. The study elucidates the evolution of education policies, a comparative analysis of various policies and ways forward to implement National Education Policy (NEP) 2020. The SWOC analysis of NEP determines the existing gap and suggests measures for the country's effective inception, adoption and implementation of NEP 2020. \u0000Originality/Value: The selection of relevant content for exploration based on the literature survey, segregation of dimensions of old educational policies based on the literature survey and SWOC analysis upon the New Education Policy 2020 is unique in content, review and analysis bringing originality to the derived conclusions. \u0000Paper type: A Case Study","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122171456","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":"How To Create Our Custom Model in CoppeliaSim From 3D File","authors":"Sudipto Chakraborty, P. Aithal","doi":"10.47992/ijaeml.2581.7000.0180","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0180","url":null,"abstract":"Purpose: This paper aims to provide a comprehensive guide to creating custom models in CoppeliaSim from 3D files. It equips users with the necessary knowledge and skills to design and simulate their unique robotic systems within the CoppeliaSim environment. By creating it, users can design robots with unique geometries and configurations that align with their specific requirements and research objectives. It enables users to represent real-world robots or prototypes in the virtual environment accurately. It provides a platform to test and validate robot designs before physical implementation. Users can simulate different scenarios, assess the feasibility of their concepts, and identify potential issues or improvements early in the design process, thereby saving time and resources. It equips students, researchers, and robotics enthusiasts with practical knowledge and hands-on experience designing and simulating custom robot models. It also encourages collaboration and knowledge sharing within the robotics community. \u0000Design/Methodology/Approach: Download the desired model for Simulation from the website. Import 3D model into the environment. Configures various properties of the model. This includes defining physical properties, and visual appearance, for realistic rendering. The process also determines the kinematic properties of the model. It involves creating linkages, defining joint properties, and establishing parent-child relationships between objects. Add child scripts. Save the model for future use.\u0000Findings/Result: Here, we provide the process for importing 3D files into CoppeliaSim. Users could import their necessary models without an issue, ensuring the accurate representation of 3D object geometry in the simulation environment. Users could establish linkages, define joint properties, and set parent-child relationships, allowing for accurate kinematic simulations and motion analysis.\u0000Originality/Value: It provides a comprehensive step-by-step guide on creating custom models in CoppeliaSim from 3D files. It covers all the essential aspects and ensures that users understand the entire process clearly, making it a valuable resource for beginners and experienced users.\u0000Paper Type: Experimental-based Research.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132248705","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":"How to Create Business Value Through Technological Innovations Using ICCT Underlying Technologies","authors":"P. Aithal","doi":"10.47992/ijaeml.2581.7000.0184","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0184","url":null,"abstract":"Purpose: Organizations are struggling to sustain and grow in the 21st century due to many challenges and uncertainties while doing their business. Long-term sustaining in the business needs retaining the existing customers and attracting new customers through various strategies for satisfying, delighting, and enlightening existing customers, and creating overwhelming demand through business value creation for attracting new customers. It is a challenge for all the decision-makers to find out how to create business value to retain existing customers and attract new customers. Here, a conceptual and exploratory analysis is made of how the innovations using technology create business value for organizations in general. \u0000Methodology: This conceptual analysis uses an exploratory research method. The information is collected using Google, Google Scholar, and Artificial Intelligence GPT search engines using appropriate keywords and prompt engineering respectively and the collected, analysed, compared, evaluated, and interpreted towards creating business value using technology with special emphasis on the use of ICCT underlying technologies. The advantages, benefits, constraints, and disadvantages of business value creation using ICCT underlying technologies for business value creation are listed from stakeholders’ points of view. \u0000Outcome: The role of twelve ICCT Underlying Technologies including AI, Blockchain, Business intelligence, Cloud computing, Cyber security, 3D printing, IoT, Quantum computing, Mobile marketing, Information storage technology, Ubiquitous education technology, and VR & AR for Business Value Creation like Innovation and Differentiation, Customer focus, Operational efficiency, Strategic Partnerships and Alliances, Talent Management, Effective Marketing and Branding, Financial Performance and Growth, Sustainability and Corporate Social Responsibility, and Adaptability and Agility.\u0000Originality/Value: New knowledge and interpretation are presented on how to create business value for long time sustainability by organizations in every industry. \u0000Type o Paper: Exploratory Research Analysis","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131007885","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":"Impact of Aatmanirbharta (Self-reliance) Agriculture and Sustainable Farming for the 21st Century to Achieve Sustainable Growth","authors":"Mahesh K. M., P. Aithal, Sharma K. R. S.","doi":"10.47992/ijaeml.2581.7000.0181","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0181","url":null,"abstract":"Purpose: Indian Agriculture is 3rd most significant contributor to GDP and more than 50% of the population is dependent on agriculture, Indian agriculture accounts for15% of the country’s Gross Value added to the economy, and agriculture policies and schemes implemented by the government to increase the production, income level of farmers, employment, growth of the rural area, provide Digital agricultural stack in area of IoT, block chain, Geographic Information System(GIS) Kisan Drones, Big data, as per the report of NITI Aayog AI in agriculture would be worth $ 2.6 bn and Agri-Startups promote the circular economy with sustainable farming in the area of Millet, organic farming and vertical farming. It is an important pillar of sustainability and it is recognized as 7 out of 17 Sustainable development goals. Sustainable agriculture farming is the order of the 21st century in India which currently has 4.43 million organic farmers, according to the Economic Survey 2022-23, and a much-needed alternative to conventional for protecting the well-being of the farmers and Society, Economy and Ecosystem. India is Self-reliant in the production of Sugar, Rice, Wheat and food grains. Due to Government Schemes like Atmanirbhar, Minimum Support Price(MPS), PM Kisan Scheme, PM Kisan Samman Nidhi, Pradhan Mantri Fasal Bima Yojana (PMFBY), PM Gati-shakti, National Agriculture Market(e-NAM), Young –Entrepreneurs Accelerator Fund for Agri-Startups, Paramparagat Krishi Vikas Yojana (PMVY), establishing more Farmer producers Organizations(FPO), National Mission for Sustainable Agriculture (NMSA), Agricultural Technology Management Agency(ATMA), NABARD in providing finance for farm and non-farm sector, PM-PRANAAM for protecting mother earth. These initiatives are to increase the investment opportunities in agriculture, efficiency, and productivity in agriculture for doubling the income of the farmers.\u0000Design/Methodology/Approach: The research article is a descriptive study with exploratory research and secondary data collected from News articles, Journals, Government websites, Books, magazines, and reports for the analysis.\u0000Findings: Organic farming and sustainable agriculture is good for the economy and environment. The study reveals that in India Sustainable green revaluation in Agriculture Technology and moving towards achieving sustainable development goals (SDG).\u0000Type of Paper: Case Study.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127865450","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":"Association Between Delay, Project Size and Low Bid Percentage","authors":"Subhadra Maharjan, Ajay K. Mishra, P. Aithal","doi":"10.47992/ijaeml.2581.7000.0183","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0183","url":null,"abstract":"Purpose: The aim of this study was to assess the effects of some prominent factors like low bid amount, contract size and geographical locations of the projects on causing delayed completion in road and bridge projects carried out by the Road Division Offices under the Department of Roads (DoR) of Nepal.\u0000Design/Methodology/Approach: Fifteen construction contracts from each of the seven provinces of the country were selected for the study. The projects were completed in three Nepali fiscal years starting from 2074/75 till 2076/77 irrespective of their starting date. The contracts were grouped under various categories like stipulated project duration, percentage of contract amount bid below estimate amount, contract amount and the project locations including the mountains, hills and terai. Projects from mountain districts like Sankhuwasabha and Baitadi; Kathmandu, Kaski and Surkhet in the hills and Siraha and Rupandehi in terai were selected. The research approach included both qualitative and quantitative methods of information collection. Secondary data sources comprised of the DOR office documents including the work completion reports, IPCs, time extension documents, work variation orders and other pertinent records. SPSS software has been used for processing the input data and thus relationships between different variables such as delay, size of contract; percent below estimate amount, initial contract duration, project geographical location etc. have been checked. Correlation and regression analysis have been carried out between delay of contracts (dependent variable), and independent variables like size of contract, percent below estimate amount and geography.\u0000Findings/Result: Spearman rank correlation value between delay category and estimate amount category was 0.210 with p value of 0.031 (< 0.05) thus suggesting weak correlation but significant relationship between these two variables. Further, Pearson correlation value between delay and percent below estimate was 0.243 with p value of 0.013 (< 0.05) thus suggesting weak correlation but significant relationship between these two variables too. Binary logistic regression analysis showed Nagelkerke R square value of 0.139 which provides an indication that the amount of variation in the dependent variable (project delay) which is only around 14% of variance was due to the effects of independent variables (size of contract, percentage below estimate amount and geography). This suggests that remaining 86% variance was caused by some other factors which were not considered under the scope of this study. Also, p value of 0.013 which was less than 0.05 suggested there was statistically significant relation between dependent and independent variables.\u0000Originality/Value: The paper assesses the effects and association of some prominent factors for timely performance of projects. \u0000Paper Type: Review paper","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131931763","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":"Importance of Circular Economy for Resource Optimization in Various Industry Sectors – A Review-based Opportunity Analysis","authors":"S. Aithal, P. Aithal","doi":"10.47992/ijaeml.2581.7000.0182","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0182","url":null,"abstract":"Purpose: The circular economy concept is of significant importance across various industry sectors, including the primary, secondary, tertiary, and quaternary sectors. This concept has a profound impact across all industry sectors by promoting sustainable practices, resource efficiency, waste reduction, and innovation. By embracing circular principles, industries can contribute to the transition towards a more sustainable and resilient economy while creating economic value and minimizing environmental impact. \u0000Methodology: The importance of the circular economy is discussed in various industry sectors by means of a systematic review to know the current status and SWOC and ABCD analysis to know the Opportunity of exploring this field. \u0000Results: Based on analysis, comparison, evaluation, and interpretation of the circular economy in all four industry sectors, the importance of Circular Economy for Resource Optimization are suggested.\u0000Outcome/Values/Novelty: The importance of the Circular Economy in primary, secondary, tertiary, and quaternary industries are evaluated by knowing the current status and the opportunity are analyzed using SWOC and ABCD analysis frameworks. \u0000Type of Paper: Exploratory Analysis","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133429279","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":"DeepQ Residue Analysis of Brain-Computer Classification and Prediction using Deep CNN","authors":"A. Sasi Kumar, P. Aithal","doi":"10.47992/ijaeml.2581.7000.0179","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0179","url":null,"abstract":"Purpose: During this article, we are going to consistently explore the kinds of brain signals for Brain Computer Interface (BCI) and discover the related ideas of the in-depth learning of brain signal analysis. We talk review recent machine Associate in Nursing deep learning approaches within the detection of two brain unwellness just like Alzheimer' disease (AD), brain tumor. In addition, a quick outline of the varied marker extraction techniques that want to characterize brain diseases is provided. Project work, the automated tool for tumor classification supported by image resonance information. It is given by various convolutional neural network (CNN) samples with ResNet Squeeze.\u0000Objectives: This paper is to analyse brain diseases classification and prediction using deep learning concepts. Deep learning is a group of machine learning in computer science that has networks capable of unattended learning from data that's unstructured or unlabelled. conjointly called deep neural learning could be a operation of Al that mimics however, the human brain works in process data to be used in object detection, speech recognition, language translation, and call making. \u0000Methodology: To test the result by measuring the semantics in the input sentence, the creation of embedded vectors with the same value is achieved. In this case, a sentence with a different meaning is used. Since it is difficult to collect a large amount of labelled data, it simulates the signal in different sentences. As you progress, teach for extra complicated capabilities with layers from the shared output of preceding layers. We examine forms of deep getting to know methods: LSTM Model with RNN, CNN results. CNN is a multi-layer feed-ahead neural community. The gadget weight is up to date via way of means of the Backpropagation Error procedure. TF-IDF of time period t in record d. Unlike traditional precis models, the ahead engineering feature is predicated on understanding of the required records area. In addition, this framework is related to synthetic abbreviations, which might be then used to put off the impact of guide function improvement and records labelling.\u0000Results: We will follow this option of 257 factors as vector enter category algorithms. It is a aggregate of the subsequent forms with enter layer, convolution layer, linear unit (ReLU) layer, pooling layer, absolutely coupled layer. A recurrent neural community (RNN) is a form of a neural community that defines connections among loop units. This creates an inner community country that allows. Feature choice is a extensively used approach that improves the overall performance of classifiers. Here, we examine the consequences of conventional magnificence fires with correlation-primarily based totally man or woman choice. \u0000Originality: Analysis of Brain Diseases with the approach of Computer Classification and Prediction using Deep CNN with ResNet Squeeze.\u0000Type of Paper: Conceptual research paper.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124306367","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":"Smart Home Simulation in CoppeliaSim Using C# Through WebSocket","authors":"Sudipto Chakraborty, P. Aithal","doi":"10.47992/ijaeml.2581.7000.0178","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0178","url":null,"abstract":"Purpose: The increasing integration of intelligent devices and automation technologies in our daily lives has led to the development of smart homes, where various devices and systems are interconnected to provide enhanced comfort, convenience, and energy efficiency. Simulation tools are vital in designing, testing, and validating innovative home systems before their physical implementation. This research paper presents an intelligent home simulation framework implemented in CoppeliaSim. The simulation framework utilizes the C# programming language and leverages WebSocket communication to establish real-time interactions between the simulation environment and external applications. It discusses the architecture and implementation details of the simulation framework, highlighting the integration of CoppeliaSim, C#, and WebSocket. \u0000Design/Methodology/Approach: CoppeliaSim was chosen as the simulation platform due to its robust features, flexibility, and support for robotics and automation simulations. The simulation framework was developed using the C# programming language. C# provides a rich set of libraries and tools for efficient development, and its integration with CoppeliaSim allowed seamless communication and control of the simulated intelligent home environment. WebSocket communication established real-time interactions between the simulation environment and external applications. \u0000Findings/Result: The simulation framework successfully created a realistic, intelligent home environment, accurately representing various components and systems in typical smart homes. It effectively replicated real-world behaviors and interactions of intelligent home devices. The innovative home simulation framework highlighted its ability to accurately simulate an intelligent home environment, facilitate real-time interactions, and evaluate system performance.\u0000Originality/Value: The integration of CoppeliaSim, C#, and WebSocket communication in developing an intelligent home simulation framework presents a novel approach. While CoppeliaSim is a widely used simulation platform, combining C# and WebSocket communication provides an innovative and efficient way to create a brilliant home environment and enable real-time interactions with external applications. \u0000Paper Type: Simulation-based Research.","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129803484","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":"A Systematic Review of Consumer Perception: Factors Affecting Green Shopping Bags","authors":"A. V., P. Aithal","doi":"10.47992/ijaeml.2581.7000.0175","DOIUrl":"https://doi.org/10.47992/ijaeml.2581.7000.0175","url":null,"abstract":"Purpose: The harmful impacts of plastic pollution on the world's present climate. The vast majority of plastic waste accumulates on land, on beaches, and in the ocean. Green shopping bags are in high demand in the market and are the greatest alternative to plastic carry bags. Eco-friendly bags are long-lasting, plastic-free, reusable, and produced from recycled materials. Eco-friendly shopping bags are immensely popular among both shops and customers due to their low cost, lightweight, and environmental friendliness. The study addresses the factors that influence customer perceptions of eco-friendly shopping bags.\u0000Design/Methodology/Approach: This study relies on secondary sources gathered from a variety of sources, including case studies, journal articles, magazines, books, and internet searches.\u0000Findings/Result: The study's main findings show that disposing of plastic bags in landfills causes a variety of environmental risks. Green marketing helps to preserve the environment for future generations. Customers are willing to pay a premium for ecologically friendly stuff. Green handbags are the most ecologically friendly substitute for plastic bags. Eco-friendly shopping bags may help businesses and organizations advertise their brands more effectively. Manufacturers must overcome the disadvantages of eco bags if they wish to increase the usage of green bags. The general public should be educated on the benefits of adopting green shopping bags.\u0000Originality/Value: The study highlights assist manufacturers, entrepreneurs, and retailers in understanding the effectiveness of employing green shopping bags for long-term environmental benefits and high demand in the present market. Businesses became green and began utilizing green marketing techniques in response to increased demand from customers concerned about their health and the environment. Green shopping bags encourage individuals to adopt sustainable lifestyles and thereby actively help achieve sustainable development goals.\u0000Type of Paper: Literature Review","PeriodicalId":184829,"journal":{"name":"International Journal of Applied Engineering and Management Letters","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121569324","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}