Journal of Technology and Systems最新文献

Surpassing $1 to $3 Million Revenue Threshold: Analyzing why Small Businesses Miss the Mark 突破 100-300 万美元收入门槛：分析小型企业失误的原因

Journal of Technology and Systems Pub Date : 2024-07-08 DOI: 10.47941/jts.2037

Azukaego Chukwuelue

{"title":"Surpassing $1 to $3 Million Revenue Threshold: Analyzing why Small Businesses Miss the Mark","authors":"Azukaego Chukwuelue","doi":"10.47941/jts.2037","DOIUrl":"https://doi.org/10.47941/jts.2037","url":null,"abstract":"Purpose: Despite the crucial role small businesses play in driving economic growth and innovation, a significant majority fail to surpass the $3,000,000 revenue mark. This article aims to examine the prevalent reasons behind this high failure rate. \u0000Methodology: The analysis focuses on five key areas: lack of strategic planning, insufficient financial management, inadequate marketing and sales strategies, poor time management and delegation, and an inability to adapt to change. The article uses real-world examples and data from reputable sources to explore these factors. \u0000Findings: The research identifies that small businesses often fail due to a lack of strategic direction, poor financial oversight, ineffective marketing efforts, inefficient time management, and resistance to change. Each of these elements contributes to business stagnation and eventual failure. \u0000Unique Contribution to Theory, Policy and Practice: This article provides valuable insights for small business owners, policymakers, and researchers by highlighting critical areas for improvement. By addressing these challenges, small businesses can improve their chances of achieving sustainable growth. The findings can inform policy decisions aimed at supporting small business development and provide a theoretical framework for further academic research.","PeriodicalId":511690,"journal":{"name":"Journal of Technology and Systems","volume":" 593","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141669411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient Water Management through Intelligent Digital Twins 通过智能数字双胞胎实现高效水资源管理

Journal of Technology and Systems Pub Date : 2024-07-05 DOI: 10.47941/jts.2036

Siva Sathyanarayana Movva

{"title":"Efficient Water Management through Intelligent Digital Twins","authors":"Siva Sathyanarayana Movva","doi":"10.47941/jts.2036","DOIUrl":"https://doi.org/10.47941/jts.2036","url":null,"abstract":"Purpose: Supplying and distributing fresh water to large populations is a significant global issue. In addition to the challenges posed by its scarcity and wastage, this essential resource is increasingly vulnerable due to adverse environmental conditions. Consequently, there is an urgent need for novel approaches to ensure the optimal, equitable, and efficient utilization of fresh water. The emergence of new technologies offers promising prospects for achieving this goal. One such technology, the digital twin, is gaining considerable attention from both academic and industrial communities. This attention is primarily driven by the anticipated benefits it offers across various sectors, including process optimization, cost reduction, and accelerated time to market. \u0000Methodology: In the realm of water management, numerous solutions are being proposed, particularly aimed at detecting leaks and assessing water assets under diverse operational conditions. However, these solutions often lack sufficient intelligence and autonomy throughout the entire data acquisition and processing cycle, as well as in asset control and service provision. To address this gap, we propose a new framework in this paper, based on multi-agent systems and the digital twin paradigm. \u0000Findings: Our multi-agent system is tasked with conducting data analytics to evaluate water consumption and delivering relevant feedback to users. This includes implementing a rewarding system to incentivize appropriate pricing policies. Additionally, the system simulates asset operations under specific constraints to facilitate the detection of failures or defects. \u0000Unique Contribution to theory, practice and policy: We propose employing Markov Decision Process (MDP), a mathematical framework for decision-making, to model water consumption behaviors.","PeriodicalId":511690,"journal":{"name":"Journal of Technology and Systems","volume":" 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI-Enhanced Data Visualization: Transforming Complex Data into Actionable Insights 人工智能增强型数据可视化：将复杂数据转化为可操作的洞察力

Journal of Technology and Systems Pub Date : 2024-05-19 DOI: 10.47941/jts.1911

Siva Karthik Devineni

{"title":"AI-Enhanced Data Visualization: Transforming Complex Data into Actionable Insights","authors":"Siva Karthik Devineni","doi":"10.47941/jts.1911","DOIUrl":"https://doi.org/10.47941/jts.1911","url":null,"abstract":"Purpose: The purpose of this study is to explore how artificial intelligence (AI) becomes a part of data visualization. Thus, data from complex datasets are transformed into dynamic, interactive, and personalized visual experiences that will help in deeper insights and actionable knowledge. The research is supposed to design a holistic system and rules for using AI to make data visualization more effective and super interactive for the users. \u0000Methodology: The methodology involves the in-depth examination of artificial intelligence-based data visualization tools and platforms by using case studies. The study analyses the impact of AI technologies such as machine learning, natural language processing, and augmented and virtual reality on the scalability, interactivity, and personalization of data visualizations. The sentence also talks about the analysis of the moral factors that are part of the process of introducing AI in data visualization. \u0000Findings: The findings indicate that AI greatly improves the process and the quality of data visualization, thus, it makes possible the management of big, complicated, multi-dimensional datasets in a more efficient and precise way. The AI-driven tools give the users the opportunity to see the actions that are happening in real-time, predict the results, and personalize the tools according to their individual needs, thereby increasing the decision-making processes. Furthermore, ethical issues like data privacy, bias, and transparency must be well managed. This research has the distinctive feature of providing a theoretical framework that emphasizes the importance of AI in the development of data visualization technologies. \u0000Unique contribution to theory, policy and practice: In practice, it gives the rules for the implementation of AI tools to achieve more effective and user-focused visualizations. The policy focuses on the necessity of ethical standards in AI deployments, which means the data visualization practices should be transparent, accountable, and bias-free, thus creating trust and reliability in the AI applications.","PeriodicalId":511690,"journal":{"name":"Journal of Technology and Systems","volume":"121 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141124308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk Management in Agile Al/Ml Projects: Identifying and Mitigating Data and Model Risks 敏捷 Al/Ml 项目中的风险管理：识别并降低数据和模型风险

Journal of Technology and Systems Pub Date : 2024-04-24 DOI: 10.47941/jts.1824

Ankur Tak, Sunil Chahal Sunil Chahal

{"title":"Risk Management in Agile Al/Ml Projects: Identifying and Mitigating Data and Model Risks","authors":"Ankur Tak, Sunil Chahal Sunil Chahal","doi":"10.47941/jts.1824","DOIUrl":"https://doi.org/10.47941/jts.1824","url":null,"abstract":"Purpose: This study addresses the crucial challenge of managing risks associated with data and models in Agile Artificial Intelligence (AI) and Machine Learning (ML) projects. It aims to develop a systematic framework for effective risk control utilizing agile methodologies. \u0000Methodology: The research is grounded in an interpretivist approach and utilizes a deductive method. It constructs a comprehensive framework for identifying and mitigating risks, integrating risk management seamlessly into Agile processes for AI and ML development. \u0000Findings: The study introduces four technological themes critical for risk mitigation: dynamic distribution of resources, model robustness, risk integration, and quality assessment of information. These themes provide actionable strategies for reducing risks throughout the Agile AI/ML development lifecycle, ensuring that risk assessment and mitigation are integral to project planning and execution. \u0000Unique contribution to theory, practice, and policy: The study contributes to both theory and practice by offering a detailed, actionable framework for risk management in Agile AI/ML projects. It advocates for the adoption of adaptive technologies and tools, continuous stakeholder engagement, and adherence to ethical standards. Recommendations include validation of the framework through empirical research and ongoing longitudinal evaluations to adapt and refine risk management practices. This approach aims to enhance the reliability and efficiency of project outputs in dynamic environments, providing a significant foundation for policy development in technology project management.","PeriodicalId":511690,"journal":{"name":"Journal of Technology and Systems","volume":"9 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140660293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sprint Planning and Al/Ml: How to Balance Iterations with Data Complexity 冲刺计划和 Al/Ml：如何平衡迭代与数据复杂性

Journal of Technology and Systems Pub Date : 2024-04-20 DOI: 10.47941/jts.1817

Ankur Tak, Sunil Chahal

{"title":"Sprint Planning and Al/Ml: How to Balance Iterations with Data Complexity","authors":"Ankur Tak, Sunil Chahal","doi":"10.47941/jts.1817","DOIUrl":"https://doi.org/10.47941/jts.1817","url":null,"abstract":"Purpose: This study aims to bridge the gap in modern software development by integrating agile methodologies with artificial intelligence and machine learning (AI/ML). It seeks to understand how agile sprint planning can effectively interact with the complexities of data inherent in AI/ML projects. \u0000Methodology: The approach taken in this research draws upon a hermeneutic philosophy, which is inference-based, alongside a descriptive methodology. It investigates effective strategies for data preparation, model building, and validation, utilizing the iterative architecture of agile sprinting. The study also incorporates a critical examination to address significant limitations encountered in the integration process. \u0000Findings: The findings highlight the essential role of cross-departmental teams and identify various technological tools that facilitate the smooth integration of agile methodologies with AI/ML projects. A rigorous examination also emphasizes the necessity for ongoing validation through evidence to manage the complexities effectively. \u0000Unique Contribution to Theory, Practice, and Policy (Recommendations): The study offers a comprehensive framework and practical recommendations for businesses aiming to handle data-driven AI/ML initiatives in agile environments. It provides a strategic management approach that aligns more successfully with the demands of data production and agile processes, thus contributing significantly to both theoretical perspectives and practical applications in software development. These contributions are pivotal for informing policy on the integration of cutting-edge technologies in agile settings.","PeriodicalId":511690,"journal":{"name":"Journal of Technology and Systems","volume":"105 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140679865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rainwater Treatment and Reuse Using Membrane Technology. 利用膜技术进行雨水处理和回用。

Journal of Technology and Systems Pub Date : 2024-04-20 DOI: 10.47941/jts.1816

Siva Sathyanarayana Movva

{"title":"Rainwater Treatment and Reuse Using Membrane Technology.","authors":"Siva Sathyanarayana Movva","doi":"10.47941/jts.1816","DOIUrl":"https://doi.org/10.47941/jts.1816","url":null,"abstract":"Purpose: The concept and acceptance of water reuse has steadily increased, particularly in regions that rely on unpredictable water supplies and in industrial applications that benefit from a secondary source of recycled process water. Due to the current global water scarcity crisis, addressing the pressing need for ensuring water safety and sustainable usage has become paramount. Rainwater, as a clean energy source, presents a crucial avenue for consideration in terms of treatment and reuse methods. \u0000Methodology: Membrane technology, known for its compact size, effective treatment capabilities, and affordability, has emerged as a favored approach for wastewater treatment and is increasingly gaining attention in rainwater treatment. \u0000Findings: This review aims to examine past research on rainwater treatment using membrane technology, identifying key research gaps to guide future exploration and technological advancements. It provides a comprehensive overview of various membrane technologies employed in rainwater treatment, analyzing post-treatment water quality and practical feasibility. \u0000Unique Contribution to theory, practice and policy: Membrane fouling is recognized as a primary challenge, yet ongoing research is delving into surface modifications and process optimizations to mitigate this issue. Moreover, the quest for novel membrane materials and the investigation of diverse technology combinations for rainwater treatment remain active areas of study. The potential future applications of these efforts hold promise for addressing water scarcity concerns.","PeriodicalId":511690,"journal":{"name":"Journal of Technology and Systems","volume":" 1288","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140681612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Orchestrating Multi-Cloud Environments for Enhanced Flexibility and Resilience 协调多云环境，提高灵活性和复原力

Journal of Technology and Systems Pub Date : 2024-04-19 DOI: 10.47941/jts.1810

Kiran Kumar Voruganti

{"title":"Orchestrating Multi-Cloud Environments for Enhanced Flexibility and Resilience","authors":"Kiran Kumar Voruganti","doi":"10.47941/jts.1810","DOIUrl":"https://doi.org/10.47941/jts.1810","url":null,"abstract":"Purpose: This paper examines the essential role of multi-cloud orchestration in navigating the complexities of the contemporary cloud computing landscape, aimed at optimizing the deployment and management of cloud resources across diverse environments. \u0000Methodology: Utilizing a systematic review of scholarly articles, industry reports, and case studies, including the Flexera 2021 State of the Cloud Report and insights from Gartner, alongside academic contributions from researchers like Jamshidi et al. and Garg et al., this study delves into the strategies and tools facilitating effective multi-cloud orchestration. \u0000Findings: The research highlights multi-cloud orchestration as a critical enabler for enhancing operational efficiency, resilience, and cost-effectiveness in cloud deployments. It emphasizes the strategic benefits of orchestrating a heterogeneous mix of cloud services, including public, private, and hybrid clouds, to meet the intricate demands of modern applications. The study underscores the importance of advanced orchestration tools in ensuring seamless operations, security, and compliance across multi-cloud architectures. \u0000Unique contributor to theory, policy and practice: By following the principles outlined in this paper, organizations can leverage multi-cloud orchestration to unlock the full potential of their cloud investments and achieve a well-orchestrated symphony of success.","PeriodicalId":511690,"journal":{"name":"Journal of Technology and Systems","volume":" 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140685084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toll Operations: User Perception and Satisfaction 收费业务：用户感知和满意度

Journal of Technology and Systems Pub Date : 2024-04-19 DOI: 10.47941/jts.1811

Pankaj Lembhe

引用次数: 0

Cultivating Community Health and Well-being in Open Source: Mitigating Burnout and Prioritizing Mental Health 培养开源社区的健康和福祉：减轻职业倦怠，优先考虑心理健康

Journal of Technology and Systems Pub Date : 2024-04-03 DOI: 10.47941/jts.1791

Savitha Raghunathan

{"title":"Cultivating Community Health and Well-being in Open Source: Mitigating Burnout and Prioritizing Mental Health","authors":"Savitha Raghunathan","doi":"10.47941/jts.1791","DOIUrl":"https://doi.org/10.47941/jts.1791","url":null,"abstract":"Purpose: This whitepaper addresses the critical but often overlooked mental health challenges within open-source communities, including stress and burnout. The collaborative spirit of open-source communities has undoubtedly accelerated technological innovation, but the mental well-being of their contributors is frequently neglected. The objective is to uncover the root causes of these mental health issues and evaluate their impact, thereby underscoring the need for supportive and inclusive community practices. \u0000Methodology: This paper uses the ‘Mixed methods’ research approach, analyzing data from industry surveys and extracting insights from personal narratives and experiences documented by contributors in blogs and forums. This comprehensive strategy allows for a detailed exploration of mental health within the open-source environment, facilitating the identification of key stress factors and mental health challenges associated with community participation. \u0000Findings: The investigation reveals a direct link between the operational dynamics of open-source projects and the prevalence of mental health problems among participants. Key stressors include high expectations regarding workload, the predominantly volunteer nature of contributions, social isolation, and a lack of formal support structures. Additionally, the study highlights a significant lack of awareness of these issues and the availability of intervention strategies, further increasing the risk of burnout and stress among community members. \u0000Unique Contribution to Theory, Practice, and Policy: This paper makes a novel contribution to understanding mental health in open-source communities by merging analytical data with qualitative insights from contributor narratives. It offers recommendations for a wide range of stakeholders, from contributors to leaders and policymakers, to cultivate a culture that supports mental well-being, diversity, and sustainability. This paper presents a comprehensive blueprint for nurturing healthier, more resilient open-source communities.","PeriodicalId":511690,"journal":{"name":"Journal of Technology and Systems","volume":"421 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140750067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data Alignment in the Fast-Moving Consumer Goods Retail Sector 快速消费品零售行业的数据整合

Journal of Technology and Systems Pub Date : 2024-02-29 DOI: 10.47941/jts.1710

Paraskumar Patel

引用次数: 0