This study explores the key role of artificial intelligence (AI) in changing business development strategies in an era characterized by rapid technological progress. The goal of this research is to find innovative ways to integrate artificial intelligence into corporate operational structures to increase competitiveness and efficiency. Adopting a qualitative research design, this study conducts an in-depth analysis of the literature retrieved from Google Scholar using a systematic approach to presenting data reduction and drawing conclusions. Research shows that integrating AI into business strategy improves existing operations. It emerges as a catalyst for sophisticated data analytics that drive personalized customer experiences and improve decision-making. This study highlights the transformative potential of artificial intelligence to create dynamic business environments where predictive analytics and customer insights inform strategic decisions. A key innovation of this research is its focus on the symbiotic relationship between artificial intelligence and human decision-making. This indicates a paradigm shift in the formulation of business strategy where artificial intelligence becomes not just a tool but a strategic partner that complements human ingenuity. This approach highlights the importance of connecting AI capabilities with human insights to create innovative business strategies that are responsive and adaptable. In conclusion this study provides a comprehensive understanding of the transformative impact of artificial intelligence on business development strategies. It provides valuable insights for organizations looking to use AI for strategic advantage by highlighting the need for a balanced integration of technology and human expertise in an ever-changing business environment.
{"title":"Innovative Approaches in Business Development Strategies Through Artificial Intelligence Technology","authors":"Stevany Edilia, Novia Diah Larasati","doi":"10.34306/itsdi.v5i1.612","DOIUrl":"https://doi.org/10.34306/itsdi.v5i1.612","url":null,"abstract":"This study explores the key role of artificial intelligence (AI) in changing business development strategies in an era characterized by rapid technological progress. The goal of this research is to find innovative ways to integrate artificial intelligence into corporate operational structures to increase competitiveness and efficiency. Adopting a qualitative research design, this study conducts an in-depth analysis of the literature retrieved from Google Scholar using a systematic approach to presenting data reduction and drawing conclusions. Research shows that integrating AI into business strategy improves existing operations. It emerges as a catalyst for sophisticated data analytics that drive personalized customer experiences and improve decision-making. This study highlights the transformative potential of artificial intelligence to create dynamic business environments where predictive analytics and customer insights inform strategic decisions. A key innovation of this research is its focus on the symbiotic relationship between artificial intelligence and human decision-making. This indicates a paradigm shift in the formulation of business strategy where artificial intelligence becomes not just a tool but a strategic partner that complements human ingenuity. This approach highlights the importance of connecting AI capabilities with human insights to create innovative business strategies that are responsive and adaptable. In conclusion this study provides a comprehensive understanding of the transformative impact of artificial intelligence on business development strategies. It provides valuable insights for organizations looking to use AI for strategic advantage by highlighting the need for a balanced integration of technology and human expertise in an ever-changing business environment.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139318159","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}
Ellen Dollan, Bagas Dwi Kurnia Ramadhan, Naida Abrina
In the pursuit of sustainable environmental solutions, the bilateral collaboration between Indonesia and Denmark has emerged as a focal point of study, particularly within the spheres of the circular economy and waste management. This research, anchored in a qualitative descriptive methodology, delves deep into the intricacies of this partnership, shedding light on its commendable strides in fostering the exchange of best practices and pioneering waste reduction techniques, notably waste incineration. The collaboration, rooted in a shared commitment to environmental sustainability, has not only aimed at diminishing the adverse environmental repercussions of waste but has also sought to catalyze opportunities for both nations to achieve their waste management objectives more efficiently. However, the journey has not been devoid of challenges. A significant impediment identified is Indonesia's constrained reservoir of expert resources, which has had tangible repercussions on the effective implementation and scaling of circular economy initiatives. This limitation underscores a broader challenge faced by many emerging nations, emphasizing the critical need for capacity building and resource augmentation. The research's implications are manifold, extending beyond policy formulation to influence practitioners and academics in the environmental and sustainable development sectors. By offering a nuanced perspective on the dynamics of international collaborations, the study underscores the potential and challenges of such partnerships in addressing pressing global environmental issues, thereby serving as a beacon for similar endeavors in other developing contexts.
{"title":"Assessing the Outcomes of Circular Economy and Waste Management Partnerships between Indonesia and Denmark","authors":"Ellen Dollan, Bagas Dwi Kurnia Ramadhan, Naida Abrina","doi":"10.34306/itsdi.v5i1.609","DOIUrl":"https://doi.org/10.34306/itsdi.v5i1.609","url":null,"abstract":"In the pursuit of sustainable environmental solutions, the bilateral collaboration between Indonesia and Denmark has emerged as a focal point of study, particularly within the spheres of the circular economy and waste management. This research, anchored in a qualitative descriptive methodology, delves deep into the intricacies of this partnership, shedding light on its commendable strides in fostering the exchange of best practices and pioneering waste reduction techniques, notably waste incineration. The collaboration, rooted in a shared commitment to environmental sustainability, has not only aimed at diminishing the adverse environmental repercussions of waste but has also sought to catalyze opportunities for both nations to achieve their waste management objectives more efficiently. However, the journey has not been devoid of challenges. A significant impediment identified is Indonesia's constrained reservoir of expert resources, which has had tangible repercussions on the effective implementation and scaling of circular economy initiatives. This limitation underscores a broader challenge faced by many emerging nations, emphasizing the critical need for capacity building and resource augmentation. The research's implications are manifold, extending beyond policy formulation to influence practitioners and academics in the environmental and sustainable development sectors. By offering a nuanced perspective on the dynamics of international collaborations, the study underscores the potential and challenges of such partnerships in addressing pressing global environmental issues, thereby serving as a beacon for similar endeavors in other developing contexts.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139319019","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}
This research delves into the adoption of e-wallets, specifically Shopee Pay, among Indonesian students in the digital economic era. The study aims to analyze students' acceptance levels of e-wallets as a non-cash payment method, motivated by the rapid advancement in information and communication technology and the emerging need for efficient and secure financial transactions. Employing a survey-based approach, the research focuses on students' perceptions regarding the ease of use, usefulness, and perceived risks of e-wallets.The findings reveal a predominantly positive perception among students towards e-wallets. A significant majority of respondents acknowledge the ease and benefits of non-cash transactions, indicating effective implementation of this technology. Moreover, the low risk perception underscores a sense of security among students in using e-wallets. Conclusively, e-wallets, particularly Shopee Pay, demonstrate considerable potential as a favored non-cash payment method among Indonesian students. This widespread acceptance can catalyze the growth of the digital payment ecosystem, propelling Indonesia's digital financial transformation. The study offers valuable insights into consumer preferences and behaviors concerning e-wallets, aiding fintech companies and financial institutions in enhancing digital payment services. The adoption of e-wallets by students not only boosts transaction efficiency but also contributes to the expansion of Indonesia's digital economy. These findings provide a foundation for further research into the acceptance of non-cash payment technologies in Indonesian society.
{"title":"Analysis of the Acceptance Level of E-Wallet as a Non-Cash Payment Method among Indonesian Students","authors":"Juan Galang, Haikal Ramdhan","doi":"10.34306/itsdi.v5i1.611","DOIUrl":"https://doi.org/10.34306/itsdi.v5i1.611","url":null,"abstract":"This research delves into the adoption of e-wallets, specifically Shopee Pay, among Indonesian students in the digital economic era. The study aims to analyze students' acceptance levels of e-wallets as a non-cash payment method, motivated by the rapid advancement in information and communication technology and the emerging need for efficient and secure financial transactions. Employing a survey-based approach, the research focuses on students' perceptions regarding the ease of use, usefulness, and perceived risks of e-wallets.The findings reveal a predominantly positive perception among students towards e-wallets. A significant majority of respondents acknowledge the ease and benefits of non-cash transactions, indicating effective implementation of this technology. Moreover, the low risk perception underscores a sense of security among students in using e-wallets. Conclusively, e-wallets, particularly Shopee Pay, demonstrate considerable potential as a favored non-cash payment method among Indonesian students. This widespread acceptance can catalyze the growth of the digital payment ecosystem, propelling Indonesia's digital financial transformation. The study offers valuable insights into consumer preferences and behaviors concerning e-wallets, aiding fintech companies and financial institutions in enhancing digital payment services. The adoption of e-wallets by students not only boosts transaction efficiency but also contributes to the expansion of Indonesia's digital economy. These findings provide a foundation for further research into the acceptance of non-cash payment technologies in Indonesian society.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"207 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139319911","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}
In the Society 5.0 era characterized by technological integration, Arabic language education is experiencing a transformation through the application of artificial intelligence (AI). The background to this research is the increasing need for Arabic language skills amidst globalization and the growth of cross-cultural interactions. Meanwhile, AI technology has reached a level of maturity that allows its effective use in education, providing new opportunities to improve language teaching methods. This research aims to explore the potential of using AI in Arabic language teaching, understanding how this technology can facilitate more adaptive, interactive and efficient learning, according to individual student needs. The implications of this research are very significant. The implementation of AI in Arabic education not only improves language skills, but also enriches students' learning experience. In Society 5.0, where humans and technology synergize, the use of AI in Arabic language education can be a model for integrating intelligent technology in the learning process. The main contribution of this research is the development of an AI learning system that can be adopted by educational institutions, enabling them to provide more personalized and effective Arabic language education. This research also explores updates in teaching methods, introducing an approach based on individual student responses. Thus, this research provides an in-depth understanding of how AI can be adapted to each student's learning needs in the context of Arabic language education. Overall, this research not only provides new insights into the integration of AI in Arabic education, but also provides a foundation for the development of responsive and adaptive curricula in the Society 5.0 era.
{"title":"AI-Powered Arabic Language Education in the Era of Society 5.0","authors":"Muhammad Rehan Anwar, Herdi Aziz Ahyarudin","doi":"10.34306/itsdi.v5i1.607","DOIUrl":"https://doi.org/10.34306/itsdi.v5i1.607","url":null,"abstract":"In the Society 5.0 era characterized by technological integration, Arabic language education is experiencing a transformation through the application of artificial intelligence (AI). The background to this research is the increasing need for Arabic language skills amidst globalization and the growth of cross-cultural interactions. Meanwhile, AI technology has reached a level of maturity that allows its effective use in education, providing new opportunities to improve language teaching methods. This research aims to explore the potential of using AI in Arabic language teaching, understanding how this technology can facilitate more adaptive, interactive and efficient learning, according to individual student needs. The implications of this research are very significant. The implementation of AI in Arabic education not only improves language skills, but also enriches students' learning experience. In Society 5.0, where humans and technology synergize, the use of AI in Arabic language education can be a model for integrating intelligent technology in the learning process. The main contribution of this research is the development of an AI learning system that can be adopted by educational institutions, enabling them to provide more personalized and effective Arabic language education. This research also explores updates in teaching methods, introducing an approach based on individual student responses. Thus, this research provides an in-depth understanding of how AI can be adapted to each student's learning needs in the context of Arabic language education. Overall, this research not only provides new insights into the integration of AI in Arabic education, but also provides a foundation for the development of responsive and adaptive curricula in the Society 5.0 era.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136253067","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}
This research explores the application of artificial intelligence (AI)-based technology in the Grab application, an online passenger transportation service company in Southeast Asia. The main aim of this research is to improve service quality, safety and efficiency for Grab passengers and drivers, while solving traffic and location problems. The use of AI in this application opens up opportunities to optimize passenger pick-up and drop-off processes, improve navigation, and improve real-time traffic management. Special emphasis is placed on the application of the Forward Chaining method, an artificial intelligence technique that allows systems to make decisions based on predetermined rules. By implementing this method, Grab can predict passenger movements and arrange the best routes automatically, increasing time efficiency and reducing congestion. The implications of this research are very significant in the context of improving the quality of online transportation services, by providing a better experience for passengers and ensuring safety on every trip. The main contribution of this research is the development of an efficient and reliable AI system, as well as the application of Forward Chaining in the context of the Grab application. Additionally, this research provides an in-depth understanding of how AI technology can overcome traffic and location challenges, creating effective and reliable solutions for ride-hailing companies in the future. The results of this research provide a valuable contribution to the development of transportation technology, providing a basis for similar companies to explore the potential of applying artificial intelligence in their services. Thus, this research paves the way to greater innovation in the field of online transportation, creating a more efficient, safe and comfortable environment for users, and creating significant added value for the industry.
{"title":"Forward Chaining Method Implementation for AI-Powered Passenger Ojek Online and Drive Solutions","authors":"Yamato Shino, Hani Ahsani","doi":"10.34306/itsdi.v5i1.610","DOIUrl":"https://doi.org/10.34306/itsdi.v5i1.610","url":null,"abstract":"This research explores the application of artificial intelligence (AI)-based technology in the Grab application, an online passenger transportation service company in Southeast Asia. The main aim of this research is to improve service quality, safety and efficiency for Grab passengers and drivers, while solving traffic and location problems. The use of AI in this application opens up opportunities to optimize passenger pick-up and drop-off processes, improve navigation, and improve real-time traffic management. Special emphasis is placed on the application of the Forward Chaining method, an artificial intelligence technique that allows systems to make decisions based on predetermined rules. By implementing this method, Grab can predict passenger movements and arrange the best routes automatically, increasing time efficiency and reducing congestion. The implications of this research are very significant in the context of improving the quality of online transportation services, by providing a better experience for passengers and ensuring safety on every trip. The main contribution of this research is the development of an efficient and reliable AI system, as well as the application of Forward Chaining in the context of the Grab application. Additionally, this research provides an in-depth understanding of how AI technology can overcome traffic and location challenges, creating effective and reliable solutions for ride-hailing companies in the future. The results of this research provide a valuable contribution to the development of transportation technology, providing a basis for similar companies to explore the potential of applying artificial intelligence in their services. Thus, this research paves the way to greater innovation in the field of online transportation, creating a more efficient, safe and comfortable environment for users, and creating significant added value for the industry.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139320831","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}
This research aims to develop artificial intelligence (AI) algorithms in the context of facial recognition with a focus on increasing accuracy in difficult environmental conditions. Although facial recognition technology has made great progress, challenges such as poor lighting, variations in facial expressions, and head rotation are still problems that must be overcome. The research methodology involved collecting a wide dataset covering a wide variety of faces under various environmental conditions. This data is then processed and its features are extracted using computer image processing techniques. Furthermore, several deep neural network architectures, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), were developed, trained, and evaluated for face recognition tasks. The expected result is the development of an AI algorithm that is able to overcome challenges in facial recognition with higher accuracy than existing methods. In particular, significant improvements in facial recognition accuracy are expected especially under low lighting conditions and variations in facial expressions. This research has a major impact in a variety of security applications, such as border surveillance, building access control, and corporate security. With higher facial recognition accuracy, security risks can be significantly reduced, resulting in safer and more efficient security solutions. In conclusion, this research aims to bring innovation in facial recognition technology through advanced AI approaches, with the potential to improve security in various contexts.
{"title":"Development of Deep Learning Algorithms for Improved Facial Recognition in Security Applications","authors":"Adrian Sean Bein, Alexander Williams","doi":"10.34306/itsdi.v5i1.605","DOIUrl":"https://doi.org/10.34306/itsdi.v5i1.605","url":null,"abstract":"This research aims to develop artificial intelligence (AI) algorithms in the context of facial recognition with a focus on increasing accuracy in difficult environmental conditions. Although facial recognition technology has made great progress, challenges such as poor lighting, variations in facial expressions, and head rotation are still problems that must be overcome. The research methodology involved collecting a wide dataset covering a wide variety of faces under various environmental conditions. This data is then processed and its features are extracted using computer image processing techniques. Furthermore, several deep neural network architectures, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), were developed, trained, and evaluated for face recognition tasks. The expected result is the development of an AI algorithm that is able to overcome challenges in facial recognition with higher accuracy than existing methods. In particular, significant improvements in facial recognition accuracy are expected especially under low lighting conditions and variations in facial expressions. This research has a major impact in a variety of security applications, such as border surveillance, building access control, and corporate security. With higher facial recognition accuracy, security risks can be significantly reduced, resulting in safer and more efficient security solutions. In conclusion, this research aims to bring innovation in facial recognition technology through advanced AI approaches, with the potential to improve security in various contexts.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136242087","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}
Indri Handayani, Desy Apriani, Mulyati Mulyati, Achani Rahmania Az Zahra, Natasya Aprila Yusuf
Security and privacy of patient data are critical concerns in the healthcare system. This research aims to investigate the impact of implementing blockchain technology on enhancing the security and privacy of patient data in healthcare. Using the SmartPLS analysis method, this study empirically examines the relationships between blockchain technology implementation and data security and data privacy within the healthcare system. The research sample consists of healthcare organizations that have implemented blockchain technology for data management. Data is collected through surveys and analyzed using SmartPLS to assess the effects of blockchain technology on data security and privacy. The findings reveal the positive influence of blockchain technology implementation on enhancing the security and privacy of patient data. The study also identifies challenges, such as scalability and interoperability, that need to be addressed for successful implementation. This research contributes to the existing literature by providing empirical evidence on the benefits and challenges of implementing blockchain technology to safeguard patient data in healthcare systems.
{"title":"Enhancing Security and Privacy of Patient Data in Healthcare: A SmartPLS Analysis of Blockchain Technology Implementation","authors":"Indri Handayani, Desy Apriani, Mulyati Mulyati, Achani Rahmania Az Zahra, Natasya Aprila Yusuf","doi":"10.34306/itsdi.v5i1.603","DOIUrl":"https://doi.org/10.34306/itsdi.v5i1.603","url":null,"abstract":"Security and privacy of patient data are critical concerns in the healthcare system. This research aims to investigate the impact of implementing blockchain technology on enhancing the security and privacy of patient data in healthcare. Using the SmartPLS analysis method, this study empirically examines the relationships between blockchain technology implementation and data security and data privacy within the healthcare system. The research sample consists of healthcare organizations that have implemented blockchain technology for data management. Data is collected through surveys and analyzed using SmartPLS to assess the effects of blockchain technology on data security and privacy. The findings reveal the positive influence of blockchain technology implementation on enhancing the security and privacy of patient data. The study also identifies challenges, such as scalability and interoperability, that need to be addressed for successful implementation. This research contributes to the existing literature by providing empirical evidence on the benefits and challenges of implementing blockchain technology to safeguard patient data in healthcare systems.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"290 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139349695","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}
Satriya Miko, Aditya Wahyu Tri Atmaja, Risna Mawardah, Syifa Dwi Zulfa, Fernando Siboro, Arif Marjuki
This study aims to analyze the impact of competence, information technology, risk perception, and financial literacy on interest in investing in cryptocurrency. The method used is quantitative, with data collected from 98 respondents through simple random sampling. The focus of this research is to reveal the relationship between factors that influence the interest of individuals who invest in cryptocurrencies. The results show that competency, information technology, risk perception, and financial literacy simultaneously or partially have a positive and significant effect on interest in cryptocurrency investment. These results suggest that the higher the competence of individuals in the field of financial knowledge and understanding of information technology, the greater their interest in investing in cryptocurrencies. In addition, the perception of low risk and high levels of financial literacy also contribute to increased interest in investing in cryptocurrencies. This research makes an important contribution in understanding the factors that influence the interest of individuals interested in cryptocurrencies. In the era of the rapidly developing digital economy, a deeper understanding of the impact of competency, information technology, risk perception and financial literacy has the potential to assist decision makers in developing more effective investment strategies and reducing risks. These findings also provide deeper insight into the dynamics of the cryptocurrency market and the consequences of growing investment in this sector. This research has actual relevance in the context of cryptocurrency investment, where the influence of factors such as competence, information technology, risk perception, and financial literacy on interest in investing is still not fully revealed. Through the help of the significant relationship between these factors and investment intentions, this research provides valuable insights for practitioners, academics, and decision makers to better understand and manage cryptocurrency investments more effectively. Thus, this research also makes an important contribution in developing knowledge and managing cryptocurrency investments in this increasingly digital era.
{"title":"The Impact of Competitiveness, Information Technology, Risk Perception, and Financial Literacy on The Intention to Invest in Cryptocurrency","authors":"Satriya Miko, Aditya Wahyu Tri Atmaja, Risna Mawardah, Syifa Dwi Zulfa, Fernando Siboro, Arif Marjuki","doi":"10.34306/itsdi.v5i1.602","DOIUrl":"https://doi.org/10.34306/itsdi.v5i1.602","url":null,"abstract":"This study aims to analyze the impact of competence, information technology, risk perception, and financial literacy on interest in investing in cryptocurrency. The method used is quantitative, with data collected from 98 respondents through simple random sampling. The focus of this research is to reveal the relationship between factors that influence the interest of individuals who invest in cryptocurrencies. The results show that competency, information technology, risk perception, and financial literacy simultaneously or partially have a positive and significant effect on interest in cryptocurrency investment. These results suggest that the higher the competence of individuals in the field of financial knowledge and understanding of information technology, the greater their interest in investing in cryptocurrencies. In addition, the perception of low risk and high levels of financial literacy also contribute to increased interest in investing in cryptocurrencies. This research makes an important contribution in understanding the factors that influence the interest of individuals interested in cryptocurrencies. In the era of the rapidly developing digital economy, a deeper understanding of the impact of competency, information technology, risk perception and financial literacy has the potential to assist decision makers in developing more effective investment strategies and reducing risks. These findings also provide deeper insight into the dynamics of the cryptocurrency market and the consequences of growing investment in this sector. This research has actual relevance in the context of cryptocurrency investment, where the influence of factors such as competence, information technology, risk perception, and financial literacy on interest in investing is still not fully revealed. Through the help of the significant relationship between these factors and investment intentions, this research provides valuable insights for practitioners, academics, and decision makers to better understand and manage cryptocurrency investments more effectively. Thus, this research also makes an important contribution in developing knowledge and managing cryptocurrency investments in this increasingly digital era.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"2016 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139351271","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}
Technological progress has rapidly revolutionized the global business sphere, with e-commerce emerging as a pivotal force in transforming traditional industries. This study undertakes a detailed bibliometric examination utilizing VOSviewer software to delve into the ramifications of e-commerce on conventional sectors and its role in global economic metamorphosis. Through identifying predominant keywords, notable publications, and collaborative research networks, the analysis underscores primary research trajectories. Notably, technology, innovation, education, knowledge, and investment emerge as pillars in navigating digital evolution. Furthermore, burgeoning areas like digital commerce, the circular economy, and blockchain present prospects for extended research. This study enhances our comprehension of the intricate shift traditional sectors undergo amidst the e-commerce surge. These insights bear significance for policymakers, entrepreneurs, and scholars, shedding light on potential hurdles and exploitable avenues amid digital upheaval. Consequently, this paper serves as a rich resource for those keen on grasping and maneuvering the intricacies of digital transformation within established industrial landscapes.
{"title":"Analyzing Changes in Traditional Industries: Challenges and Opportunities in the E-commerce Era","authors":"Ganeva Ravi, Muhammad Farras Nur, Ade Kiswara","doi":"10.34306/itsdi.v5i1.608","DOIUrl":"https://doi.org/10.34306/itsdi.v5i1.608","url":null,"abstract":"Technological progress has rapidly revolutionized the global business sphere, with e-commerce emerging as a pivotal force in transforming traditional industries. This study undertakes a detailed bibliometric examination utilizing VOSviewer software to delve into the ramifications of e-commerce on conventional sectors and its role in global economic metamorphosis. Through identifying predominant keywords, notable publications, and collaborative research networks, the analysis underscores primary research trajectories. Notably, technology, innovation, education, knowledge, and investment emerge as pillars in navigating digital evolution. Furthermore, burgeoning areas like digital commerce, the circular economy, and blockchain present prospects for extended research. This study enhances our comprehension of the intricate shift traditional sectors undergo amidst the e-commerce surge. These insights bear significance for policymakers, entrepreneurs, and scholars, shedding light on potential hurdles and exploitable avenues amid digital upheaval. Consequently, this paper serves as a rich resource for those keen on grasping and maneuvering the intricacies of digital transformation within established industrial landscapes.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"10 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":"135672275","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}
Technology is causing social and economic upheaval that is overturning the social order. Governments around the world have a lot of potential as a result of the widespread use of artificial intelligence (AI) in government. There are some difficulties in using AI in government. Meanwhile, the use of AI in government can increase public trust in it. The purpose of this article is to assess the level of AI preparedness in the Indonesian government, focusing on its application to public administration and e-government services. Conclusion The level of AI readiness in Indonesia is still low. In ASEAN, the use of AI is ranked fifth. Indonesia is ranked 57th out of 195 countries in the world. Novelty in this research is how BOT can survive amid the rapid development of Artificial Intelligence.
{"title":"Analysis of Public Administration Challenges in the Development of Artificial Intelligence Industry 4.0","authors":"Venni Vidya Febiandini, Morina Shelvia Sony","doi":"10.34306/itsdi.v4i2.586","DOIUrl":"https://doi.org/10.34306/itsdi.v4i2.586","url":null,"abstract":"Technology is causing social and economic upheaval that is overturning the social order. Governments around the world have a lot of potential as a result of the widespread use of artificial intelligence (AI) in government. There are some difficulties in using AI in government. Meanwhile, the use of AI in government can increase public trust in it. The purpose of this article is to assess the level of AI preparedness in the Indonesian government, focusing on its application to public administration and e-government services. Conclusion The level of AI readiness in Indonesia is still low. In ASEAN, the use of AI is ranked fifth. Indonesia is ranked 57th out of 195 countries in the world. Novelty in this research is how BOT can survive amid the rapid development of Artificial Intelligence.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125916972","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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