This research aims to explore the direct relationship between the illegitimate task assignment and employee well-being. The relationship between the variables illegitimate task assignment and HR information management systems was also explored in this research. Moreover, this research also aims to explore the mediating role of HR information management systems among the proposed direct relationship of this research. To achieve the aim of this research the data was collected from the 319 employees of 13 software companies in Hunan Province, China. This research findings reveal a significant impact of illegitimate task assignment on employee well-being, mirroring the stress, job discontent, and heightened burnout documented in previous studies. HR information systems were discovered to both mediate and moderate the relationship, mitigating the negative effects of illegitimate work assignments. When properly overseen, these systems provide employees with valuable tools to deal with work-related difficulties. This study utilizes the Job Demand-Resource (JD-R) model to enhance comprehension of organizational dynamics and provide practical guidance for firms seeking to promote employee well-being in the modern workplace.
{"title":"Unmasking Illegitimate Task Assignment: Exploring Its Impact on Employee Well-being and the Role of Information Management Systems in HR","authors":"Weining Wang","doi":"10.55267/iadt.07.14776","DOIUrl":"https://doi.org/10.55267/iadt.07.14776","url":null,"abstract":"This research aims to explore the direct relationship between the illegitimate task assignment and employee well-being. The relationship between the variables illegitimate task assignment and HR information management systems was also explored in this research. Moreover, this research also aims to explore the mediating role of HR information management systems among the proposed direct relationship of this research. To achieve the aim of this research the data was collected from the 319 employees of 13 software companies in Hunan Province, China. This research findings reveal a significant impact of illegitimate task assignment on employee well-being, mirroring the stress, job discontent, and heightened burnout documented in previous studies. HR information systems were discovered to both mediate and moderate the relationship, mitigating the negative effects of illegitimate work assignments. When properly overseen, these systems provide employees with valuable tools to deal with work-related difficulties. This study utilizes the Job Demand-Resource (JD-R) model to enhance comprehension of organizational dynamics and provide practical guidance for firms seeking to promote employee well-being in the modern workplace.","PeriodicalId":508705,"journal":{"name":"Journal of Information Systems Engineering and Management","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673169","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}
Xin Wang, Anping Cheng, Kiechan Namkung, Younghwan Pan
Screen readers for the visually impaired and blind and short video platforms have conflicting functionalities. In particular, blind users encounter information access barriers when searching for video content, which reduces their user experience. We embed auditory cues at the beginning of a short video corresponding to its content to help blind users identify the video type. The experimental design and evaluation results reveal the significant impact of these auditory cues. By embedding auditory cues, we can significantly enhance the user's usability, recognition efficiency, and emotional experience, surpassing traditional short videos' experience. Speech had the shortest response time and highest accuracy, while auditory icons provided a better emotional experience. In addition, some participants expressed concerns about the potential social privacy issues associated with Speech. This study provides auditory cue-matching solutions for a wide range of short videos. It offers a beacon of hope for enhancing the experience of short video platforms for the blind user. By doing so, we contribute to the well-being of people with disabilities and provide highly versatile user experience design recommendations for a broader range of digital media platforms.
{"title":"Caring for Special Participants in the Digital Media Era: A Study on Enhancing the Blind User Experience on Short Video Platforms Through Auditory Cues","authors":"Xin Wang, Anping Cheng, Kiechan Namkung, Younghwan Pan","doi":"10.55267/iadt.07.14774","DOIUrl":"https://doi.org/10.55267/iadt.07.14774","url":null,"abstract":"Screen readers for the visually impaired and blind and short video platforms have conflicting functionalities. In particular, blind users encounter information access barriers when searching for video content, which reduces their user experience. We embed auditory cues at the beginning of a short video corresponding to its content to help blind users identify the video type. The experimental design and evaluation results reveal the significant impact of these auditory cues. By embedding auditory cues, we can significantly enhance the user's usability, recognition efficiency, and emotional experience, surpassing traditional short videos' experience. Speech had the shortest response time and highest accuracy, while auditory icons provided a better emotional experience. In addition, some participants expressed concerns about the potential social privacy issues associated with Speech. This study provides auditory cue-matching solutions for a wide range of short videos. It offers a beacon of hope for enhancing the experience of short video platforms for the blind user. By doing so, we contribute to the well-being of people with disabilities and provide highly versatile user experience design recommendations for a broader range of digital media platforms.","PeriodicalId":508705,"journal":{"name":"Journal of Information Systems Engineering and Management","volume":" 0","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674205","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 adoption is crucial to organizational performance in the fast-changing digital world. Due to their potential to boost efficiency, productivity, and competitiveness, disruptive technologies including data analytics, the Internet of Things (IoT), and information system integration have received attention. This study examined how IoT adoption, data analytics, and information system integration affect organizational efficiency, productivity, and competitive advantage. The study also examined how cybersecurity, cloud infrastructure, and organizational culture mediate the technology-adoption-performance relationship. Quantitative research was conducted using Amos. A diverse sampling of enterprises provided data. Structural equation modelling (SEM) examined direct and indirect impacts by analyzing variable connections. IoT usage, data analytics, and information system integration improved organizational efficiency, productivity, and competitive edge. The study also showed that cybersecurity and cloud infrastructure mediate technology adoption and organizational results. Organizational culture moderated the effect of technology adoption on performance. This study added to the technology adoption literature by examining how IoT adoption, data analytics capabilities, and information system integration affect organizational efficiency, productivity, and competitive advantage. Cybersecurity, cloud infrastructure as mediators and organizational culture as a moderator helped us understand technology adoption and performance results.
{"title":"The Impact of Industrial Internet and the Digital Economy on the Management and Development of Manufacturing Information Systems Triggering Digitization as IoT and Artificial Intelligence","authors":"Zoujian Li, Zifei Li, Yuheng Ren","doi":"10.55267/iadt.07.14038","DOIUrl":"https://doi.org/10.55267/iadt.07.14038","url":null,"abstract":"Technology adoption is crucial to organizational performance in the fast-changing digital world. Due to their potential to boost efficiency, productivity, and competitiveness, disruptive technologies including data analytics, the Internet of Things (IoT), and information system integration have received attention. This study examined how IoT adoption, data analytics, and information system integration affect organizational efficiency, productivity, and competitive advantage. The study also examined how cybersecurity, cloud infrastructure, and organizational culture mediate the technology-adoption-performance relationship. Quantitative research was conducted using Amos. A diverse sampling of enterprises provided data. Structural equation modelling (SEM) examined direct and indirect impacts by analyzing variable connections. IoT usage, data analytics, and information system integration improved organizational efficiency, productivity, and competitive edge. The study also showed that cybersecurity and cloud infrastructure mediate technology adoption and organizational results. Organizational culture moderated the effect of technology adoption on performance. This study added to the technology adoption literature by examining how IoT adoption, data analytics capabilities, and information system integration affect organizational efficiency, productivity, and competitive advantage. Cybersecurity, cloud infrastructure as mediators and organizational culture as a moderator helped us understand technology adoption and performance results.","PeriodicalId":508705,"journal":{"name":"Journal of Information Systems Engineering and Management","volume":"47 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139172914","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}
The integration of Information Systems (IS), Big Data Analytics (BDA), and Artificial Intelligence (AI) has ushered in a new era of energy-efficient design for rural residences. This study delves into the intricate synergy between technology and sustainability, unveiling the transformative potential of these tools in reshaping rural living spaces. The exploration spans from the conceptualization of designs to their real-world implementation, highlighting the pivotal role of IS in facilitating collaborative efforts among stakeholders. The study further uncovers the power of Big Data Analytics in deciphering energy consumption patterns, climatic variations, and occupant behaviours. These insights lay the groundwork for AI-powered simulations that optimize energy efficiency while ensuring occupant comfort. The study underscores the consequences of ineffective design, elucidating how it amplifies energy consumption, escalates environmental impact, and compromises residents' quality of life. In contrast, the integration of IS, BDA, and AI results in energy-efficient residences, marked by reduced energy usage, enhanced indoor comfort, and economic savings. Despite challenges such as limited resources, harsh climates, and technical expertise gaps, innovative solutions in the form of training programs, data privacy protocols, and collaborations emerge as beacons of progress. Looking to the future, emerging trends like smart grids, Internet of Things (IoT) integration, and AI-driven predictive maintenance shape the narrative of rural residences design. Rural communities stand poised for self-sufficiency and sustainability, empowered by the fusion of technology and ecological mindfulness. The recommendations presented in this study offer actionable insights for construction professionals, policymakers, and researchers, emphasizing interdisciplinary collaboration, continuous monitoring, and ongoing training. Future directions include greater investigation of new trends in sustainability, smart grids, and predictive maintenance, which will help rural communities become self-sufficient and environmentally conscientious.
信息系统（IS）、大数据分析（BDA）和人工智能（AI）的融合为农村住宅的节能设计开创了一个新时代。本研究深入探讨了技术与可持续发展之间错综复杂的协同作用，揭示了这些工具在重塑农村生活空间方面的变革潜力。从设计的概念化到实际实施，这一探索凸显了信息系统在促进利益相关者合作方面的关键作用。研究进一步揭示了大数据分析在解读能源消耗模式、气候变异和居住者行为方面的威力。这些见解为人工智能驱动的模拟奠定了基础，从而在确保居住舒适度的同时优化能源效率。这项研究强调了无效设计的后果，阐明了无效设计如何扩大能源消耗、加剧环境影响并损害居民的生活质量。与此相反，整合 IS、BDA 和 AI 后的节能住宅则能减少能源消耗、提高室内舒适度并节约经济成本。尽管面临资源有限、气候恶劣和技术专长不足等挑战，但以培训计划、数据隐私协议和合作为形式的创新解决方案成为了进步的灯塔。展望未来，智能电网、物联网（IoT）集成和人工智能驱动的预测性维护等新兴趋势将影响农村住宅的设计。在技术与生态意识的融合下，农村社区有望实现自给自足和可持续发展。本研究提出的建议为建筑专业人士、政策制定者和研究人员提供了可行的见解，强调跨学科合作、持续监控和不断培训。未来的发展方向包括进一步研究可持续发展、智能电网和预测性维护方面的新趋势，这将有助于农村社区实现自给自足和环保。
{"title":"Leveraging Information Systems, Big Data Analytics, and AI for Energy-Efficient Design of Rural Residences","authors":"Jian Hu, Zhihua Xu","doi":"10.55267/iadt.07.14037","DOIUrl":"https://doi.org/10.55267/iadt.07.14037","url":null,"abstract":"The integration of Information Systems (IS), Big Data Analytics (BDA), and Artificial Intelligence (AI) has ushered in a new era of energy-efficient design for rural residences. This study delves into the intricate synergy between technology and sustainability, unveiling the transformative potential of these tools in reshaping rural living spaces. The exploration spans from the conceptualization of designs to their real-world implementation, highlighting the pivotal role of IS in facilitating collaborative efforts among stakeholders. The study further uncovers the power of Big Data Analytics in deciphering energy consumption patterns, climatic variations, and occupant behaviours. These insights lay the groundwork for AI-powered simulations that optimize energy efficiency while ensuring occupant comfort. The study underscores the consequences of ineffective design, elucidating how it amplifies energy consumption, escalates environmental impact, and compromises residents' quality of life. In contrast, the integration of IS, BDA, and AI results in energy-efficient residences, marked by reduced energy usage, enhanced indoor comfort, and economic savings. Despite challenges such as limited resources, harsh climates, and technical expertise gaps, innovative solutions in the form of training programs, data privacy protocols, and collaborations emerge as beacons of progress. Looking to the future, emerging trends like smart grids, Internet of Things (IoT) integration, and AI-driven predictive maintenance shape the narrative of rural residences design. Rural communities stand poised for self-sufficiency and sustainability, empowered by the fusion of technology and ecological mindfulness. The recommendations presented in this study offer actionable insights for construction professionals, policymakers, and researchers, emphasizing interdisciplinary collaboration, continuous monitoring, and ongoing training. Future directions include greater investigation of new trends in sustainability, smart grids, and predictive maintenance, which will help rural communities become self-sufficient and environmentally conscientious.","PeriodicalId":508705,"journal":{"name":"Journal of Information Systems Engineering and Management","volume":"115 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139175175","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}
Because of the lack of effective quantitative benefit evaluation methods for applying digital enterprise resource planning systems in supply chain management, this paper proposes a supply chain management benefit evaluation method after implementing the ERP system. This method starts from the two aspects of ERP implementation cost and quantitative income, establishes the evaluation index system of supply chain management benefit, then normalizes each index, uses the Delphi method to determine the weight of each quantitative income, constructs the evaluation model of enterprise supply chain management benefit after ERP implementation, and finally obtains the evaluation score in the form of the ratio of quantitative income to ERP implementation cost. In order to verify the feasibility of the model, the data of CM company from 2015 to 2022 are selected for simulation experiments. The calculated benefit evaluation score is consistent with the actual situation of the company's operation. Therefore, the model can effectively evaluate the benefits of applying digital enterprise resource planning system in supply chain management and provide strong support for enterprise management to plan ERP implementation and follow-up maintenance decision-making.
由于在供应链管理中应用数字化企业资源规划系统缺乏有效的量化效益评价方法，本文提出了实施ERP系统后的供应链管理效益评价方法。该方法从ERP实施成本和量化收益两个方面入手，建立供应链管理效益评价指标体系，然后对各项指标进行归一化处理，利用德尔菲法确定各项量化收益的权重，构建ERP实施后企业供应链管理效益评价模型，最后以量化收益与ERP实施成本的比值形式得出评价得分。为了验证模型的可行性，选取了 CM 公司 2015 年至 2022 年的数据进行仿真实验。计算得出的效益评价得分与公司运营的实际情况相符。因此，该模型能有效评估供应链管理中应用数字化企业资源计划系统的效益，为企业管理层规划ERP实施和后续维护决策提供有力支持。
{"title":"The Application and Benefit Evaluation of Digital Enterprise Resource Planning System in Supply Chain Management","authors":"Dong Yan, T. Ramayah","doi":"10.55267/iadt.07.14036","DOIUrl":"https://doi.org/10.55267/iadt.07.14036","url":null,"abstract":"Because of the lack of effective quantitative benefit evaluation methods for applying digital enterprise resource planning systems in supply chain management, this paper proposes a supply chain management benefit evaluation method after implementing the ERP system. This method starts from the two aspects of ERP implementation cost and quantitative income, establishes the evaluation index system of supply chain management benefit, then normalizes each index, uses the Delphi method to determine the weight of each quantitative income, constructs the evaluation model of enterprise supply chain management benefit after ERP implementation, and finally obtains the evaluation score in the form of the ratio of quantitative income to ERP implementation cost. In order to verify the feasibility of the model, the data of CM company from 2015 to 2022 are selected for simulation experiments. The calculated benefit evaluation score is consistent with the actual situation of the company's operation. Therefore, the model can effectively evaluate the benefits of applying digital enterprise resource planning system in supply chain management and provide strong support for enterprise management to plan ERP implementation and follow-up maintenance decision-making.","PeriodicalId":508705,"journal":{"name":"Journal of Information Systems Engineering and Management","volume":"37 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139176066","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}
E-commerce companies are struggling to make use of the enormous amounts of data collected from diverse sources in the big data era. Designing and implementing a strong business intelligence (BI) framework that makes use of big data analytics is essential to overcoming this difficulty. The study examines how cloud computing affects mobile e-commerce, stressing its benefits for real-time data processing, scalability, and analysis. which boosts the competitiveness of Chinese e-commerce businesses. This study's goal is to deploy a comprehensive BI platform designed especially for e-commerce research to unleash the power of big data. Furthermore, the deployment of precision marketing techniques based on the RFM model and historical data analysis increases client segmentation, leading to targeted marketing efforts, greater customer happiness, and higher conversion rates. The major goal of this research is to equip e-commerce companies with the tools they need to take advantage of big data's potential and make decisions that will give them a competitive edge. Data storage, retrieval, and data mining are made possible by the integration of big data technologies, such as relational and distributed databases, along with parallelization via MapReduce. Ordinary, the findings of this newsletter spotlight the importance of embracing massive information technologies and methodologies in the e-trade sector. Leveraging cloud computing, records mining, and enterprise intelligence strategies can free up the capability of tremendous records assets, permitting enterprises to make informed choices, drive innovation, and gain a competitive facet. The paper highlights the value of security safeguards and risk assessment models in e-commerce systems, offering suggestions for spotting and reducing potential dangers and preserving the integrity of the system.
{"title":"Unleashing the Power of Big Data: Designing a Robust Business Intelligence Framework for E-commerce Data Analytics","authors":"Xubo Ye, Mababa Jonilo","doi":"10.55267/iadt.07.13946","DOIUrl":"https://doi.org/10.55267/iadt.07.13946","url":null,"abstract":"E-commerce companies are struggling to make use of the enormous amounts of data collected from diverse sources in the big data era. Designing and implementing a strong business intelligence (BI) framework that makes use of big data analytics is essential to overcoming this difficulty. The study examines how cloud computing affects mobile e-commerce, stressing its benefits for real-time data processing, scalability, and analysis. which boosts the competitiveness of Chinese e-commerce businesses. This study's goal is to deploy a comprehensive BI platform designed especially for e-commerce research to unleash the power of big data. Furthermore, the deployment of precision marketing techniques based on the RFM model and historical data analysis increases client segmentation, leading to targeted marketing efforts, greater customer happiness, and higher conversion rates. The major goal of this research is to equip e-commerce companies with the tools they need to take advantage of big data's potential and make decisions that will give them a competitive edge. Data storage, retrieval, and data mining are made possible by the integration of big data technologies, such as relational and distributed databases, along with parallelization via MapReduce. Ordinary, the findings of this newsletter spotlight the importance of embracing massive information technologies and methodologies in the e-trade sector. Leveraging cloud computing, records mining, and enterprise intelligence strategies can free up the capability of tremendous records assets, permitting enterprises to make informed choices, drive innovation, and gain a competitive facet. The paper highlights the value of security safeguards and risk assessment models in e-commerce systems, offering suggestions for spotting and reducing potential dangers and preserving the integrity of the system.","PeriodicalId":508705,"journal":{"name":"Journal of Information Systems Engineering and Management","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139214756","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}
The creation of a massive amount of data has allowed for a cutting-edge change in farmed item displaying approaches. According to a research of agricultural item advertising channels, the traditional single rural item showcasing channel has stifled the expansion of the horticultural item market in favour of enterprise crisis management, and there are still intermediary connections in the many promoting channels. The process of showcasing indicates a number of steps taken to get a product from its place of manufacture to its intended usage. It entails all of the processes that result in the utility of time, place, structure, and ownership. develop horticultural goods that encourage the use of enterprise crisis management. This research looked at economic surplus, fractional planning, the economic surplus model, and production function analysis. The amount of the paddy study that was predicted occurred in payment, showing a high rate of earnings for the exploration endeavour. additional funding should be set aside for study into these yields in order to boost ranch pay and asset utilisation, and farmers can be encouraged to use additional assortments. Significant factual measures like rates, frequencies, midpoints, and proper tests were utilized for significant examination and translation of the outcomes. The economic surplus because of VCF-0517 paddy assortment worked out to be Rs.5248 crores for the period from 2006 to 2020. In this all-out economic surplus, the maker surplus framed 56.05 percent and staying 43.95 percent was buyer's surplus.
{"title":"Intervention of data analysis on enterprise crisis management to improve agricultural economy","authors":"Jie Yang","doi":"10.55267/iadt.07.13925","DOIUrl":"https://doi.org/10.55267/iadt.07.13925","url":null,"abstract":"The creation of a massive amount of data has allowed for a cutting-edge change in farmed item displaying approaches. According to a research of agricultural item advertising channels, the traditional single rural item showcasing channel has stifled the expansion of the horticultural item market in favour of enterprise crisis management, and there are still intermediary connections in the many promoting channels. The process of showcasing indicates a number of steps taken to get a product from its place of manufacture to its intended usage. It entails all of the processes that result in the utility of time, place, structure, and ownership. develop horticultural goods that encourage the use of enterprise crisis management. This research looked at economic surplus, fractional planning, the economic surplus model, and production function analysis. The amount of the paddy study that was predicted occurred in payment, showing a high rate of earnings for the exploration endeavour. additional funding should be set aside for study into these yields in order to boost ranch pay and asset utilisation, and farmers can be encouraged to use additional assortments. Significant factual measures like rates, frequencies, midpoints, and proper tests were utilized for significant examination and translation of the outcomes. The economic surplus because of VCF-0517 paddy assortment worked out to be Rs.5248 crores for the period from 2006 to 2020. In this all-out economic surplus, the maker surplus framed 56.05 percent and staying 43.95 percent was buyer's surplus.","PeriodicalId":508705,"journal":{"name":"Journal of Information Systems Engineering and Management","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139248412","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}
The industries significantly rely on information technology for effective operations; however, there are hazards like data breaches and system breakdowns. Information system audits are essential to reducing these risks, ensuring quality control, and optimizing the system. These audits evaluate gaps in controls, non-compliance concerns, and vulnerabilities, allowing for the installation of efficient risk mitigation measures. Information system audits are essential for locating and reducing hazards related to an organization's information systems.Vulnerabilities, threats, and control flaws can be found through routine audits, which then allows for the deployment of the necessary controls and risk-reduction measures. Additionally, audits support quality assurance by assessing data reliability, accuracy, and completeness, as well as system performance, regulatory compliance, and industry best practices.The deployment of remedial steps to improve data integrity and system reliability is made possible by their assistance in assisting organizations in identifying gaps and flaws. Information system audits also aid system optimization by revealing details about the functionality and performance of the system. An extensive evaluation of the literature and case study analysis was used to perform the research.For the analysis of this research, a sequential mixed technique (qualitative and quantitative) study was conducted. Delphi questionnaires were used twice to conduct the study. It encompasses organizations and entities involved in various aspects including but not limited to logistics companies, freight carriers, shipping and distribution firms, public transportation agencies, and supply chain service providers. Data from the semi-structured interviews for the qualitative study were collected via a Delphi survey, and 14 nodes and six themes were then generated.Audits assist organizations in identifying areas for improvement and informing decisions about system upgrades or alterations by analyzing system utilization, response times, resource allocation, and scalability. The results of this study highlight the importance of information system audits in assuring the prosperity, effectiveness, and resilience of businesses engaged in supply chain operations. Organizations can attain a greater level of enterprise risk management, quality assurance, and system optimization, which will improve supply chain operations in general, by managing risks, improving data quality, and optimizing system performance.
{"title":"The impact and value of information system audit enterprises risk management influencing quality assurance and system optimization—a touch from supply chain domains","authors":"Junyi Chen","doi":"10.55267/iadt.07.13907","DOIUrl":"https://doi.org/10.55267/iadt.07.13907","url":null,"abstract":"The industries significantly rely on information technology for effective operations; however, there are hazards like data breaches and system breakdowns. Information system audits are essential to reducing these risks, ensuring quality control, and optimizing the system. These audits evaluate gaps in controls, non-compliance concerns, and vulnerabilities, allowing for the installation of efficient risk mitigation measures. Information system audits are essential for locating and reducing hazards related to an organization's information systems.Vulnerabilities, threats, and control flaws can be found through routine audits, which then allows for the deployment of the necessary controls and risk-reduction measures. Additionally, audits support quality assurance by assessing data reliability, accuracy, and completeness, as well as system performance, regulatory compliance, and industry best practices.The deployment of remedial steps to improve data integrity and system reliability is made possible by their assistance in assisting organizations in identifying gaps and flaws. Information system audits also aid system optimization by revealing details about the functionality and performance of the system. An extensive evaluation of the literature and case study analysis was used to perform the research.For the analysis of this research, a sequential mixed technique (qualitative and quantitative) study was conducted. Delphi questionnaires were used twice to conduct the study. It encompasses organizations and entities involved in various aspects including but not limited to logistics companies, freight carriers, shipping and distribution firms, public transportation agencies, and supply chain service providers. Data from the semi-structured interviews for the qualitative study were collected via a Delphi survey, and 14 nodes and six themes were then generated.Audits assist organizations in identifying areas for improvement and informing decisions about system upgrades or alterations by analyzing system utilization, response times, resource allocation, and scalability. The results of this study highlight the importance of information system audits in assuring the prosperity, effectiveness, and resilience of businesses engaged in supply chain operations. Organizations can attain a greater level of enterprise risk management, quality assurance, and system optimization, which will improve supply chain operations in general, by managing risks, improving data quality, and optimizing system performance.","PeriodicalId":508705,"journal":{"name":"Journal of Information Systems Engineering and Management","volume":"12 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139267294","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}
Jinyu Zhang, M. M. Yusoff, T. Hamzah, N. M. Noor, Qinyu Shi, Zhichao Wang
The globe has seen major breakthroughs in a variety of disciplines in recent years. The implementation of the Sustainable Development Goals (SDGs) necessitates a multifaceted approach that incorporates innovative ideas and technology to track, monitor, and evaluate progress towards long-term development goals. Geographic Information System (GIS) innovation is one such disruptive technology that has gained traction in recent years. Geospatial data is used by GIS to give important insights, enhance decision-making, and enable effective resource allocation. This study aimed to investigate the impact of the implementation of SDGs and GIS innovation on the socio-economic boom and concrete and rural machine mechanisms, with a focal point on the mediating role of community engagement and the moderating function of technology infrastructure. A quantitative research method turned into followed, and data was gathered from 320 individuals. A structured questionnaire was administered electronically to measure the constructs of SDGs implementation, GIS innovation, community engagement, socio-economic growth, and urban and rural system mechanisms. Statistical Package for the Social Sciences (SPSS) was utilized for data analysis. The results indicated a significant and positive impact of both SDG implementation and GIS innovation on community engagement. Community engagement was found to have a significant and positive effect on socio-economic growth and urban and rural system mechanisms. Additionally, technology infrastructure was found to moderate the relationship between community engagement and urban and rural system mechanisms, as well as the relationship between community engagement and socio-economic growth. This study contributes to the existing literature by empirically examining the interplay between SDGs implementation, GIS innovation, community engagement, technology infrastructure, and their impacts on socio-economic growth and urban and rural system mechanisms. The findings highlight the importance of community engagement as a mediator and technology infrastructure as a moderator in achieving sustainable development goals and improving urban and rural systems.
{"title":"The impact of SDGs triggering the geographical information system (GIS) innovation influencing urban and rural system mechanism and socio-economic growth","authors":"Jinyu Zhang, M. M. Yusoff, T. Hamzah, N. M. Noor, Qinyu Shi, Zhichao Wang","doi":"10.55267/iadt.07.13908","DOIUrl":"https://doi.org/10.55267/iadt.07.13908","url":null,"abstract":"The globe has seen major breakthroughs in a variety of disciplines in recent years. The implementation of the Sustainable Development Goals (SDGs) necessitates a multifaceted approach that incorporates innovative ideas and technology to track, monitor, and evaluate progress towards long-term development goals. Geographic Information System (GIS) innovation is one such disruptive technology that has gained traction in recent years. Geospatial data is used by GIS to give important insights, enhance decision-making, and enable effective resource allocation. This study aimed to investigate the impact of the implementation of SDGs and GIS innovation on the socio-economic boom and concrete and rural machine mechanisms, with a focal point on the mediating role of community engagement and the moderating function of technology infrastructure. A quantitative research method turned into followed, and data was gathered from 320 individuals. A structured questionnaire was administered electronically to measure the constructs of SDGs implementation, GIS innovation, community engagement, socio-economic growth, and urban and rural system mechanisms. Statistical Package for the Social Sciences (SPSS) was utilized for data analysis. The results indicated a significant and positive impact of both SDG implementation and GIS innovation on community engagement. Community engagement was found to have a significant and positive effect on socio-economic growth and urban and rural system mechanisms. Additionally, technology infrastructure was found to moderate the relationship between community engagement and urban and rural system mechanisms, as well as the relationship between community engagement and socio-economic growth. This study contributes to the existing literature by empirically examining the interplay between SDGs implementation, GIS innovation, community engagement, technology infrastructure, and their impacts on socio-economic growth and urban and rural system mechanisms. The findings highlight the importance of community engagement as a mediator and technology infrastructure as a moderator in achieving sustainable development goals and improving urban and rural systems.","PeriodicalId":508705,"journal":{"name":"Journal of Information Systems Engineering and Management","volume":"20 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139267932","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}
With the development of technology, tourism information systems are playing an important role in facilitating travel and enhancing tourist experiences. These systems include online booking platforms, mobile applications, virtual tour guides, and information centers that allow tourists to store destinations accommodation and provide valuable information about events and cultural experiences. The purpose of this study is to understand how socio-economic factors affect travel decisions and how the tourism information system takes advantage of technology so that tourists have valuable information and services can be provided. Looking for this relationship, the study enhances tourist experiences, helping local economies, and it wants to identify opportunities to promote sustainable practices that meet both tourist preferences and the needs of local communities. In the Anhui region of China, the study uses a survey method to gather data from 300 visitors at popular tourist destinations such as Zhiyuan Temple, Tunxi Ancient Street, Huangshan's granite peaks and twisted pines, and Wancuilou Museum. The data is analyzed using structural equation modelling (SEM). Convenience sampling, a non-probability sampling technique, is the foundation of this study. In the fictitious study's results, the effect of socio-economic factors on tourists' travel decisions, the importance of a tourism information system in enriching travel experiences, and the ability of tourism information systems to support local economies and promote sustainable practices can be included. In addition, tourism information systems can offer valuable contactless solutions for tourists, and there may be opportunities to use technologies such as virtual reality and agnate reality for immersive destination previews. The study offers perceptions on the variables that entertainers and artists should consider to maintain their system in the market and enhance the province's overall tourism offering. The research gap needs to be filled is how to improve the current models of Anhui province's tourism information system factors to better prepare visitors for consumer behavior. In addition to giving a more thorough understanding of consumer behavior and government policies regarding the technology used in the tourism information system, the research findings may serve to increase the overall quality of the tourism industry.
{"title":"Research on the structure model of competitive factors of tourism information systems influencing socio-economic environmental performing arts industry in Anhui province based on SmartPLS analysis method","authors":"Dufang Shi","doi":"10.55267/iadt.07.13906","DOIUrl":"https://doi.org/10.55267/iadt.07.13906","url":null,"abstract":"With the development of technology, tourism information systems are playing an important role in facilitating travel and enhancing tourist experiences. These systems include online booking platforms, mobile applications, virtual tour guides, and information centers that allow tourists to store destinations accommodation and provide valuable information about events and cultural experiences. The purpose of this study is to understand how socio-economic factors affect travel decisions and how the tourism information system takes advantage of technology so that tourists have valuable information and services can be provided. Looking for this relationship, the study enhances tourist experiences, helping local economies, and it wants to identify opportunities to promote sustainable practices that meet both tourist preferences and the needs of local communities. In the Anhui region of China, the study uses a survey method to gather data from 300 visitors at popular tourist destinations such as Zhiyuan Temple, Tunxi Ancient Street, Huangshan's granite peaks and twisted pines, and Wancuilou Museum. The data is analyzed using structural equation modelling (SEM). Convenience sampling, a non-probability sampling technique, is the foundation of this study. In the fictitious study's results, the effect of socio-economic factors on tourists' travel decisions, the importance of a tourism information system in enriching travel experiences, and the ability of tourism information systems to support local economies and promote sustainable practices can be included. In addition, tourism information systems can offer valuable contactless solutions for tourists, and there may be opportunities to use technologies such as virtual reality and agnate reality for immersive destination previews. The study offers perceptions on the variables that entertainers and artists should consider to maintain their system in the market and enhance the province's overall tourism offering. The research gap needs to be filled is how to improve the current models of Anhui province's tourism information system factors to better prepare visitors for consumer behavior. In addition to giving a more thorough understanding of consumer behavior and government policies regarding the technology used in the tourism information system, the research findings may serve to increase the overall quality of the tourism industry.","PeriodicalId":508705,"journal":{"name":"Journal of Information Systems Engineering and Management","volume":"56 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139267210","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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