Pub Date : 2024-01-28DOI: 10.1109/ICETSIS61505.2024.10459428
Dhriti Ashtekar T, Nishit Khamesra, M. S. Bhargavi
With the explosion of data in the digital age, Big Data Analytics (BDA) has been embraced as a powerful technology for businesses to gain insights and make data-driven decisions. Its impact is evident across various industries, from fast-food chains utilizing it for personalized marketing to healthcare institutions employing it for improved patient care. This research explores the burgeoning field of BDA concerning sustainability by employing case studies to illuminate the powerful ways BDA empowers companies to move towards sustainability, aiming to demonstrate its transformative potential in achieving environmental and social goals. A humongous amount of data is generated, estimated at 2.5 quintillion bytes daily, which provides a fertile ground for BDA applications. Harnessing this data will help companies gain valuable insights into their environmental footprint, optimize resource utilization, and frame ingenious solutions for sustainability challenges. As a case study, we will be delving into Allbirds, a company that has sustainability as a core concept, that has identified pivotal areas for enhancement and incorporated data-driven solutions to optimize resource utilization and minimize the environmental impact to cope with issues such as climate changes and global warming. As another case study, we will explore Siemens which demonstrates the transformative power of big data in achieving broader environmental and social goals using their MindSphere platform.
{"title":"Driving Sustainability using Big Data Analytics","authors":"Dhriti Ashtekar T, Nishit Khamesra, M. S. Bhargavi","doi":"10.1109/ICETSIS61505.2024.10459428","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459428","url":null,"abstract":"With the explosion of data in the digital age, Big Data Analytics (BDA) has been embraced as a powerful technology for businesses to gain insights and make data-driven decisions. Its impact is evident across various industries, from fast-food chains utilizing it for personalized marketing to healthcare institutions employing it for improved patient care. This research explores the burgeoning field of BDA concerning sustainability by employing case studies to illuminate the powerful ways BDA empowers companies to move towards sustainability, aiming to demonstrate its transformative potential in achieving environmental and social goals. A humongous amount of data is generated, estimated at 2.5 quintillion bytes daily, which provides a fertile ground for BDA applications. Harnessing this data will help companies gain valuable insights into their environmental footprint, optimize resource utilization, and frame ingenious solutions for sustainability challenges. As a case study, we will be delving into Allbirds, a company that has sustainability as a core concept, that has identified pivotal areas for enhancement and incorporated data-driven solutions to optimize resource utilization and minimize the environmental impact to cope with issues such as climate changes and global warming. As another case study, we will explore Siemens which demonstrates the transformative power of big data in achieving broader environmental and social goals using their MindSphere platform.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530481","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}
Pub Date : 2024-01-28DOI: 10.1109/ICETSIS61505.2024.10459567
Aldi Damora Siregar, Fitria Indah Astari, Nabilla Farah Raissa Maharani, Ardhy Lazuardy, R. Nurcahyo, M. Habiburrahman
Due to the action taken to combat climate change, the world is on its time to transition vehicles to battery-electric vehicles. This research examines the satisfaction levels among DKI Jakarta residents using Battery Electric Vehicles (BEVs). Through a comprehensive analysis, this study aims to identify critical factors resulting in three factors with the highest total user satisfaction scale, including government policy, environmental sustainability, and recommendations. There were also three factors with the lowest entire scale, including charging location, brand, and the price of the BEVs. Using survey data and statistical methods, the weighted average total user satisfaction level was found to be 4.38, indicating that overall, electric car users are delighted with the performance of electric cars. The findings contribute valuable insights for policymakers, urban planners, and industry stakeholders, offering a nuanced understanding of the dynamics shaping satisfaction with BEVs in the context of DKI Jakarta.
由于应对气候变化的行动，世界正处于向电池电动汽车过渡的时期。本研究对雅加达 DKI 区居民使用电池电动汽车（BEV）的满意度进行了调查。通过综合分析，本研究旨在找出关键因素，从而得出用户满意度最高的三个因素，包括政府政策、环境可持续性和建议。此外，还有三个因素的总体满意度最低，包括充电地点、品牌和 BEV 的价格。通过调查数据和统计方法，加权平均用户总满意度为 4.38，表明电动汽车用户总体上对电动汽车的性能感到满意。研究结果为政策制定者、城市规划者和行业利益相关者提供了有价值的见解，使他们对雅加达DKI地区电动汽车满意度的动态变化有了细致入微的了解。
{"title":"Analysis of User Satisfaction with Battery Electric Vehicles: Toward Green Transportation in Jakarta","authors":"Aldi Damora Siregar, Fitria Indah Astari, Nabilla Farah Raissa Maharani, Ardhy Lazuardy, R. Nurcahyo, M. Habiburrahman","doi":"10.1109/ICETSIS61505.2024.10459567","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459567","url":null,"abstract":"Due to the action taken to combat climate change, the world is on its time to transition vehicles to battery-electric vehicles. This research examines the satisfaction levels among DKI Jakarta residents using Battery Electric Vehicles (BEVs). Through a comprehensive analysis, this study aims to identify critical factors resulting in three factors with the highest total user satisfaction scale, including government policy, environmental sustainability, and recommendations. There were also three factors with the lowest entire scale, including charging location, brand, and the price of the BEVs. Using survey data and statistical methods, the weighted average total user satisfaction level was found to be 4.38, indicating that overall, electric car users are delighted with the performance of electric cars. The findings contribute valuable insights for policymakers, urban planners, and industry stakeholders, offering a nuanced understanding of the dynamics shaping satisfaction with BEVs in the context of DKI Jakarta.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530205","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}
Pub Date : 2024-01-28DOI: 10.1109/ICETSIS61505.2024.10459547
Mahmoud Khalifa, Mahmoud Sabry
Intelligent intelligence is the most exciting technological development of our modern age. In the area of legal practice, artificial intelligence has played a prominent role in demonstrating a proactive perception and conclusion of the outcome of judicial proceedings with precision, comprehensiveness, and maximum speed. It helps to inform and inform lawyers about the development and definition of litigation strategies. The study highlights the advantages and disadvantages of artificial intelligence in the legal field and has produced several important findings. One of these results is the need to balance humans and robots so that artificial intelligence does not replace the human mind because of the progress and evolution of algorithms. However, the legal community must effectively exploit the capabilities of artificial intelligence and view it as a complementary tool to the human mind by establishing an appropriate legal framework governing its use and defining the legal responsibility for that innovative technology. In this way, we will be able to make the most of artificial intelligence in the administration of justice and the improvement of the justice system.
{"title":"The Challenges of The Artificial Intelligence of Law in The Context of Technological Development","authors":"Mahmoud Khalifa, Mahmoud Sabry","doi":"10.1109/ICETSIS61505.2024.10459547","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459547","url":null,"abstract":"Intelligent intelligence is the most exciting technological development of our modern age. In the area of legal practice, artificial intelligence has played a prominent role in demonstrating a proactive perception and conclusion of the outcome of judicial proceedings with precision, comprehensiveness, and maximum speed. It helps to inform and inform lawyers about the development and definition of litigation strategies. The study highlights the advantages and disadvantages of artificial intelligence in the legal field and has produced several important findings. One of these results is the need to balance humans and robots so that artificial intelligence does not replace the human mind because of the progress and evolution of algorithms. However, the legal community must effectively exploit the capabilities of artificial intelligence and view it as a complementary tool to the human mind by establishing an appropriate legal framework governing its use and defining the legal responsibility for that innovative technology. In this way, we will be able to make the most of artificial intelligence in the administration of justice and the improvement of the justice system.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530082","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}
Pub Date : 2024-01-28DOI: 10.1109/ICETSIS61505.2024.10459394
R. Tiwari, Anurag Kumar
This research aims to detect diabetic retinopathy using optimized features extracted from deep learning model. Initially, several deep learning architectures are trained using retinal image dataset and the best model is determined. Regarding transfer learning approaches for diabetic retinopathy patients, SqueezeNet seems to be the best model. The proposed model in this research relies on a two-stage optimization process to enhance the features extracted by SqueezeNet. Deep features obtained by SqueezeNet are optimized using Particle Swarm Optimization (PSO) and the Crow Search Algorithm (CSA). Merging the results of the two optimization methods with a value-maximizing solution is essential for producing an accurate and resilient feature vector. The proposed hybrid model employs a variety of machine-learning algorithms to classify diabetic retinopathy and non-diabetic retinopathy cases. The experimental findings indicate that the suggested method is effective with correct classification accuracy of 96.8%.
{"title":"Integrated Transfer Learning and Nature-Inspired Optimization for Enhanced Feature Extraction in Diabetic Retinopathy Image Analysis","authors":"R. Tiwari, Anurag Kumar","doi":"10.1109/ICETSIS61505.2024.10459394","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459394","url":null,"abstract":"This research aims to detect diabetic retinopathy using optimized features extracted from deep learning model. Initially, several deep learning architectures are trained using retinal image dataset and the best model is determined. Regarding transfer learning approaches for diabetic retinopathy patients, SqueezeNet seems to be the best model. The proposed model in this research relies on a two-stage optimization process to enhance the features extracted by SqueezeNet. Deep features obtained by SqueezeNet are optimized using Particle Swarm Optimization (PSO) and the Crow Search Algorithm (CSA). Merging the results of the two optimization methods with a value-maximizing solution is essential for producing an accurate and resilient feature vector. The proposed hybrid model employs a variety of machine-learning algorithms to classify diabetic retinopathy and non-diabetic retinopathy cases. The experimental findings indicate that the suggested method is effective with correct classification accuracy of 96.8%.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530103","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}
Pub Date : 2024-01-28DOI: 10.1109/ICETSIS61505.2024.10459376
Pravalika Reddy, Mohammed Sohel, Santosh Madeva Naik
Traditional Agriculture is unpredictable and very desirable. The sector has many problems like limited resources, financing, labour and land. With these problems, it becomes harder to get high yields. This is the present case in India, where the condition of farming is much better in developed western countries but even they are subjected to similar problems. Over the years, there is a need for increased output from agriculture to meet the needs of the population. Luckily, there have been alternative ways to traditional agriculture. One such different method is Hydroponics. Over the years, Hydroponics is a type of method of growing plants on less land and with fewer resources. Present hydroponics farms require some human interactions. We propose an automation solution for these Hydroponics systems. This method of farming reuses the majority of water and so saves around 90% of the water. Adding automation into the picture can help scale farms without worrying about the workforce and additionally data received.
{"title":"An IoT Based Smart Hydroponics – Plant Automation BOT","authors":"Pravalika Reddy, Mohammed Sohel, Santosh Madeva Naik","doi":"10.1109/ICETSIS61505.2024.10459376","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459376","url":null,"abstract":"Traditional Agriculture is unpredictable and very desirable. The sector has many problems like limited resources, financing, labour and land. With these problems, it becomes harder to get high yields. This is the present case in India, where the condition of farming is much better in developed western countries but even they are subjected to similar problems. Over the years, there is a need for increased output from agriculture to meet the needs of the population. Luckily, there have been alternative ways to traditional agriculture. One such different method is Hydroponics. Over the years, Hydroponics is a type of method of growing plants on less land and with fewer resources. Present hydroponics farms require some human interactions. We propose an automation solution for these Hydroponics systems. This method of farming reuses the majority of water and so saves around 90% of the water. Adding automation into the picture can help scale farms without worrying about the workforce and additionally data received.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530058","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}
Pub Date : 2024-01-28DOI: 10.1109/ICETSIS61505.2024.10459475
Raymond Sabogu-Sumah, K. A. Opare, J. Gadze, Edmund Y. Fianko, Timothy Ashong
This paper studies the use of Reconfigurable Intelligent Surfaces (RIS) to enable coexistence between Primary and Secondary Spectrum Users. While RIS tech-nology is widely used to improve user throughput or extend coverage to cell edge devices, this study deviates from the conventional use scenario. We model the propagation channel of the users of a Beyond 5G (BSG) cellular networks taking note of the direct path and reflected paths facilitated by the RIS. Simulation results show that the use of the RIS improves the user capacity while reflecting the signals from the direction of the primary users which enables the B5G system to use the primary user's spectrum without harm-fully interfering with it. Further, it is shown that indoor cellular deployment ensures maximum and/or complete protection of the primary spectrum user whereas outdoor deployment requires extra protection mechanisms such as longer separation distances, power control schemes.
{"title":"Reconfigurable Intelligent Reflecting Surfaces Enabled Spectrum Access for Beyond 5G Networks","authors":"Raymond Sabogu-Sumah, K. A. Opare, J. Gadze, Edmund Y. Fianko, Timothy Ashong","doi":"10.1109/ICETSIS61505.2024.10459475","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459475","url":null,"abstract":"This paper studies the use of Reconfigurable Intelligent Surfaces (RIS) to enable coexistence between Primary and Secondary Spectrum Users. While RIS tech-nology is widely used to improve user throughput or extend coverage to cell edge devices, this study deviates from the conventional use scenario. We model the propagation channel of the users of a Beyond 5G (BSG) cellular networks taking note of the direct path and reflected paths facilitated by the RIS. Simulation results show that the use of the RIS improves the user capacity while reflecting the signals from the direction of the primary users which enables the B5G system to use the primary user's spectrum without harm-fully interfering with it. Further, it is shown that indoor cellular deployment ensures maximum and/or complete protection of the primary spectrum user whereas outdoor deployment requires extra protection mechanisms such as longer separation distances, power control schemes.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530062","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}
Pub Date : 2024-01-28DOI: 10.1109/ICETSIS61505.2024.10459455
L. Wijaya, Apata Stella Bolanle, Kin Meng Cheng, Kah Choon Ng, Vional Vional, J. W. Wahono
The objective of this research is to propose a comprehensive model that combines the technology acceptance model (TAM) and the task fit technology (TTF) model, with the aim of investigating the intention to continue using MOOCs of the behaviors associated with this context can be achieved by utilizing a research methodology that integrates the TAM for adoption and the TTF model for utility. The total sample of 326 MOOC app users was analyzed using the PLS-SEM method with SmartPLS. Attitude towards MOOCs is crucial for their desired use. Predicting the intention to continue using MOOC applications involves various factors, including the perceived ease of use, perceived usefulness, and the fit between the task and the technology. All of the hypotheses were confirmed by the findings. The study results suggest that the perception of ease of use is strongly shaped by the fit between the task and the technology, closely followed by the perception of usefulness. Therefore, if a MOOC application is considered suitable, users will continue to use it, thereby enhancing the sustainability of the business. Lastly, the theoretical and practical consequences are brought forth and deliberated upon, and recommendations for forthcoming investigations are proffered.
{"title":"An Integrated Task-Technology Fit and Technology Acceptance Model Theories of Massive Online Open Courses Applications: An Empirical Study of Students in Indonesia","authors":"L. Wijaya, Apata Stella Bolanle, Kin Meng Cheng, Kah Choon Ng, Vional Vional, J. W. Wahono","doi":"10.1109/ICETSIS61505.2024.10459455","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459455","url":null,"abstract":"The objective of this research is to propose a comprehensive model that combines the technology acceptance model (TAM) and the task fit technology (TTF) model, with the aim of investigating the intention to continue using MOOCs of the behaviors associated with this context can be achieved by utilizing a research methodology that integrates the TAM for adoption and the TTF model for utility. The total sample of 326 MOOC app users was analyzed using the PLS-SEM method with SmartPLS. Attitude towards MOOCs is crucial for their desired use. Predicting the intention to continue using MOOC applications involves various factors, including the perceived ease of use, perceived usefulness, and the fit between the task and the technology. All of the hypotheses were confirmed by the findings. The study results suggest that the perception of ease of use is strongly shaped by the fit between the task and the technology, closely followed by the perception of usefulness. Therefore, if a MOOC application is considered suitable, users will continue to use it, thereby enhancing the sustainability of the business. Lastly, the theoretical and practical consequences are brought forth and deliberated upon, and recommendations for forthcoming investigations are proffered.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530454","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}
Pub Date : 2024-01-28DOI: 10.1109/ICETSIS61505.2024.10459702
M. N. Mamat, S. Kaharuddin, M.N. Abdullah, D. Ishak
This paper explores the potential of harnessing renewable energy through the use of photovoltaic modules installed on pitched terrace roofs in Malaysia, employing the eco-roof concept. Utilising typical climate data from Malaysia, the study investigates a system designed to charge a 339 V based battery storage system to estimate electricity generation and potential cost savings for residential homes. The series configuration of the PV rooftop connected to the boost converter charging circuit demonstrates favourable output characteristics and is deemed suitable for the charging application. A case study involving 150 houses per residential area reveals that the ratio of households contributing to and benefiting from electricity consumption and savings is 15:1. In summary, for every 15 houses charged to the designated battery system, one house can access the stored energy for daily use.
本文采用生态屋顶概念，探讨了通过在马来西亚斜面露台屋顶上安装光伏组件来利用可再生能源的潜力。研究利用马来西亚的典型气候数据，调查了一个旨在为 339 V 电池储能系统充电的系统，以估算发电量和为住宅节省成本的潜力。光伏屋顶与升压转换器充电电路的串联配置显示出良好的输出特性，被认为适合充电应用。一项涉及每个住宅区 150 栋房屋的案例研究显示，家庭在用电和节电方面的贡献和受益比例为 15:1。总之，每 15 户家庭向指定的电池系统充电，就有一户家庭可以将储存的电能用于日常使用。
{"title":"Potential of Harnessing Green Electricity Using Photovoltaic Modules on Pitched Rooftop Using DC-DC Boost Converter","authors":"M. N. Mamat, S. Kaharuddin, M.N. Abdullah, D. Ishak","doi":"10.1109/ICETSIS61505.2024.10459702","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459702","url":null,"abstract":"This paper explores the potential of harnessing renewable energy through the use of photovoltaic modules installed on pitched terrace roofs in Malaysia, employing the eco-roof concept. Utilising typical climate data from Malaysia, the study investigates a system designed to charge a 339 V based battery storage system to estimate electricity generation and potential cost savings for residential homes. The series configuration of the PV rooftop connected to the boost converter charging circuit demonstrates favourable output characteristics and is deemed suitable for the charging application. A case study involving 150 houses per residential area reveals that the ratio of households contributing to and benefiting from electricity consumption and savings is 15:1. In summary, for every 15 houses charged to the designated battery system, one house can access the stored energy for daily use.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530480","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}
Pub Date : 2024-01-28DOI: 10.1109/ICETSIS61505.2024.10459354
A. Hassama, Mohamed Soliman, Tawat Noipom
Muslims are increasingly concerned about Sharia compliance (SC) in Fintech (Financial technology) transactions. Because non-Sharia compliance might engender distrust and prevent many Muslims from using Fintech. No comprehensive Sharia compliance standard for financial systems exists. Thus, a comprehensive Sharia compliance standard for Fintech systems is needed. This study examines the factors that lead Generation Y (Gen Y) Muslims to adopt Sharia compliance in Fintech transactions by combining the technology acceptance model (TAM) and push-pull-mooring (PPM) framework. Google Forms will be used to collect data for a quantitative research study using a self-administered questionnaire. For this purpose, we will engage a two-staged partial least square structural equation model (PLS-SEM) and artificial neural network (ANN) model, combining a linear PLS model with compensation and a nonlinear ANN model without compensation.
穆斯林越来越关注金融科技（Fintech）交易中的伊斯兰教法合规性（SC）问题。因为不遵守伊斯兰教法可能会引起不信任，并阻止许多穆斯林使用金融科技。目前还没有针对金融系统的全面伊斯兰教法合规标准。因此，需要为金融科技系统制定全面的伊斯兰教法合规标准。本研究通过结合技术接受模型（TAM）和推拉式营销（PPM）框架，研究了导致 Y 世代（Gen Y）穆斯林在金融科技交易中采用伊斯兰教法合规性的因素。我们将使用谷歌表格，通过自填问卷的方式收集数据，进行定量研究。为此，我们将采用两阶段偏最小二乘法结构方程模型（PLS-SEM）和人工神经网络（ANN）模型，结合有补偿的线性 PLS 模型和无补偿的非线性 ANN 模型。
{"title":"Antecedents of Individuals' Switching Intention to Adopt Sharia Compliance in Fintech Transactions among Generation Y: A Case of Thai Southern Borders Provinces","authors":"A. Hassama, Mohamed Soliman, Tawat Noipom","doi":"10.1109/ICETSIS61505.2024.10459354","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459354","url":null,"abstract":"Muslims are increasingly concerned about Sharia compliance (SC) in Fintech (Financial technology) transactions. Because non-Sharia compliance might engender distrust and prevent many Muslims from using Fintech. No comprehensive Sharia compliance standard for financial systems exists. Thus, a comprehensive Sharia compliance standard for Fintech systems is needed. This study examines the factors that lead Generation Y (Gen Y) Muslims to adopt Sharia compliance in Fintech transactions by combining the technology acceptance model (TAM) and push-pull-mooring (PPM) framework. Google Forms will be used to collect data for a quantitative research study using a self-administered questionnaire. For this purpose, we will engage a two-staged partial least square structural equation model (PLS-SEM) and artificial neural network (ANN) model, combining a linear PLS model with compensation and a nonlinear ANN model without compensation.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530390","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}
Pub Date : 2024-01-28DOI: 10.1109/ICETSIS61505.2024.10459661
Haonan Xu, Ruoxuan Xu, Hongyu Lin, Xiaojuan He
With the progress of artificial intelligence (AI), generative AI has emerged as a novel catalyst for driving innovation within enterprises. This study, rooted in behavior activation theory, endeavors to examine the impact of generative AI on enterprise innovation. A conceptual model is formulated to elucidate the relationship between generative AI and enterprise innovation. Utilizing structural equation modeling to scrutinize this model, the findings reveal substantial positive effects: AI generated content quality significantly influences the activation of enterprise innovation behavior (ß = 0.37, t-value = 7.64, p < 0.01), AI experience has a notable positive impact on innovation behavior activation (ß = 0.19, t-value = 3.47, p < 0.01), and a supportive AI usage environment significantly influences the activation of enterprise innovation behavior (ß= 0.46, t-value = 10.48, p <0.01). Furthermore, innovation behavior activation makes a significant contribution to enterprise innovation performance (ß = 0.65, t-value = 18.23, p < 0.01).
{"title":"The Impact of Generative Artificial Intelligence on Organizational Innovation Performance: Roles of AI Generated Content Quality, AI Experience, and AI Usage Environment","authors":"Haonan Xu, Ruoxuan Xu, Hongyu Lin, Xiaojuan He","doi":"10.1109/ICETSIS61505.2024.10459661","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459661","url":null,"abstract":"With the progress of artificial intelligence (AI), generative AI has emerged as a novel catalyst for driving innovation within enterprises. This study, rooted in behavior activation theory, endeavors to examine the impact of generative AI on enterprise innovation. A conceptual model is formulated to elucidate the relationship between generative AI and enterprise innovation. Utilizing structural equation modeling to scrutinize this model, the findings reveal substantial positive effects: AI generated content quality significantly influences the activation of enterprise innovation behavior (ß = 0.37, t-value = 7.64, p < 0.01), AI experience has a notable positive impact on innovation behavior activation (ß = 0.19, t-value = 3.47, p < 0.01), and a supportive AI usage environment significantly influences the activation of enterprise innovation behavior (ß= 0.46, t-value = 10.48, p <0.01). Furthermore, innovation behavior activation makes a significant contribution to enterprise innovation performance (ß = 0.65, t-value = 18.23, p < 0.01).","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530405","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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