Digitalization & Sustainability Review publishes original studies of the highest scientific quality, on topics in the areas of Digitalization and Sustainability. Submission of interdisciplinary studies, empirical research, and international comparative analyses is encouraged. Editor-in-Chief: Dr. Md. Nur-E-Alam Siddique Managing Editor: Dr. Taposh Kumar Neogy For submission and other contacts: dsr@upright.pub
Harnessing Artificial Intelligence to Drive Global Sustainability: Insights Ahead of SAC 2024 in Kuala Lumpur
In light of the Sustainable Asia Conference (SAC) 2024 in Kuala Lumpur, this paper examines how AI can alter global sustainability. The main goal is to evaluate how AI might improve sustainability in agriculture, energy, urban management, biodiversity protection, and climate action. The study synthesizes case studies and literature using secondary data to identify practical AI applications and their obstacles. According to major studies, AI can maximize resource utilization, improve decision-making, and drive innovation while tackling data privacy, algorithmic bias, and the digital divide. The research emphasizes strong governance structures to ensure ethical AI adoption and public trust. It also stresses the necessity for AI technology access policies, especially for underprivileged areas. The study indicates that collaboration between government, corporate, and civil society is necessary for using AI for sustainable development. This research focuses on responsible practices and inclusive policies to guide actionable AI strategies that promote a resilient and sustainable future for all, contributing to the UN Sustainable Development Goals.
Copyright (c) 2024 Digitalization & Sustainability Review https://creativecommons.org/licenses/by-nc/4.0
Bridging UX and Robotics: Designing Intuitive Robotic Interfaces
This project uses UX concepts to build intuitive robotic interfaces to improve human-robot interaction (HRI). The primary goals are establishing robotics-related UX principles, studying robotic system complexity, and evaluating developing technologies' effects on interface design. The technique assesses robotic interface design methods and technology using a thorough literature study and case studies. Significant findings show that user-centered design is essential for accessible and effective robotic interfaces, while AI, AR, and gesture recognition improve personalization, visualization, and interaction. Technology is changing quickly, requiring adaptive, future-proof solutions. Policy implications include ethical norms for robotic design to address privacy, autonomy, inclusion, and standardization to encourage interoperability and adoption. This study emphasizes the need to combine UX with robotics to create technologically sophisticated, user-friendly, and socially responsible interfaces.
Copyright (c) 2022 Digitalization & Sustainability Review https://creativecommons.org/licenses/by-nc/4.0
Digitalization and AI for Sustainable Development: Expectations from the Sustainable Action Conference 2024 (SAC 2.0)
This study examines how digitalization and AI may advance sustainable development, using Sustainable Action Conference 2024 (SAC 2.0) findings. The main goals are to evaluate digital technologies' revolutionary potential in addressing environmental and social issues and highlight their hazards and ethical implications. The study synthesizes literature and case studies on the pros and cons of integrating digital solutions into sustainable development frameworks using secondary data. Significant findings show that digitalization can improve resource efficiency, climate action, and social inclusion, but it also increases environmental hazards, inequality, and ethical questions about AI bias and governance. Policy implications stress ethical AI deployment through sustainable digital infrastructure, egalitarian technological access, and robust governance frameworks. The report emphasizes the need for government, corporate sector, and civil society collaboration to create a digital landscape that supports the UN Sustainable Development Goals (SDGs) and a more equal and sustainable future.
United Nations Sustainable Development Goals (SDGs)
Digital Transformation: How Technology is Reshaping Traditional Business Models
Digital transformation has become a dominant trend in the business world in recent years. The rapid development of information and communication technology has enabled organizations to change the way they operate, interact with customers, and compete in the market. This research aims to analyze the impact of digital transformation on business models and competitive advantage. This research is a literature review that uses a qualitative approach, which implies that data will be analyzed and interpreted using information and text obtained from various sources. The study results show that in the ongoing era of digital transformation, its impact on business models and competitive advantage is an aspect that cannot be ignored. This digital transformation has changed the fundamentals of how organizations operate and interact with customers, and how they can win the competition in an increasingly fierce market. Digital transformation has brought about a significant business paradigm shift. Today, more organizations are integrating digital technology as an integral part of their business model. It is no longer an option, but a necessity to maintain relevance and competitiveness in the market.
Copyright (c) 2023 Digitalization & Sustainability Review https://creativecommons.org/licenses/by-nc/4.0
Sustainable Digitization: How U.S. Tech Leaders are Shaping the Global Future
According to this report, U.S. tech titans like Google, Apple, Microsoft, and Amazon are defining the global future via sustainable digitalization. The primary goals are to examine these organizations' sustainability policies, evaluate their effects, and comprehend their worldwide impact. The paper analyzes these firms' actions using secondary data from academic literature, industry publications, and corporate sustainability declarations. Significant results show that U.S. tech giants dominate in renewable energy, circular economy, and global sustainability norms. They lessen their environmental impact and cause industry-wide reforms. Greenwashing and I.T. industry sustainability inconsistency are constraints, according to the report. The policy implications recommend more robust regulatory frameworks to standardize sustainability measurements, ensure openness, and encourage sustainable behaviors. This method would improve sustainability and equity, making the digital future more sustainable.
Innovative Chemistry in Rubber Recycling: Transforming Waste into High-Value Products
This project investigates novel rubber recycling chemicals to turn trash into valuable goods for environmental and economic sustainability. The main goals are to evaluate innovative solvents, enzyme-based processes, and catalytic approaches for recycling efficiency and product value. The research analyzes these technologies' efficacy and advantages using secondary data from peer-reviewed literature, industry reports, and case studies. The main findings indicate that using ionic liquids and supercritical fluids enhances the dissolution efficiency, enzyme-based methods disrupt sulfur cross-links, and catalytic processes provide advantageous byproducts. These technological breakthroughs provide innovative polymers, building materials, and specialized items while decreasing the quantity of garbage disposed in landfills and cutting emissions. Despite these developments, persistent challenges regarding high technology costs and difficulty scaling still need to be addressed. The paper recommends more research funding, recycling incentives, and legal frameworks to encourage sophisticated procedures. These policy consequences must be addressed to advance recycling and create a circular economy.
Bioinformatics Tools and IT Infrastructure for High-Throughput Genomic Data Analysis
This work assesses the present status of IT infrastructure and bioinformatics tools necessary for high-throughput genetic data analysis to identify developments, constraints, and policy impacts. The study includes IT solutions, integrated platforms, variant calling, quality control, sequence alignment, and data annotation tools using a secondary data review technique. Principal results show notable advancements in tool capabilities, including the thorough quality evaluations of FastQC and the effective alignment offered by BWA and Minimap2. However, there are still issues like the intricacy of GATK, Bioconductor's high learning curve, and QC tools' scalability. While cloud computing and HPC clusters optimize IT infrastructure and show improved scalability and performance, persistent problems remain with data security and cost management. The policy implications emphasize the necessity of investing in safe and user-friendly tools, standardizing protocols, and putting strong data protection measures in place. Future improvements should prioritize using AI and machine learning, enhancing interoperability, and resolving ethical problems to fully achieve the potential of genomic data analysis in personalized treatment and collaborative research. This thorough analysis highlights the importance of making deliberate policy decisions and maintaining ongoing development to advance genomic science.
Copyright (c) 2021 Digitalization & Sustainability Review https://creativecommons.org/licenses/by-nc/4.0
Innovations in PCB Design: The Role of Advanced Circuit Simulation Techniques
This study aims to determine how advanced circuit simulation techniques can improve PCB design by cutting costs and development time while increasing design accuracy, efficiency, and reliability. The study synthesizes information from peer-reviewed journals, industry reports, and technical papers using a secondary data-based review process. Key conclusions show that sophisticated simulation techniques, such as signal integrity, power integrity, thermal, and SPICE simulations, significantly increase design accuracy and expedite the prototype process. These methods assist complex high-density designs, enhance performance for high-frequency applications, and allow for the quick discovery of design defects. PCB design is about to undergo another revolution because of emerging trends like wearable technology, 3D printing, new materials like graphene, and the integration of AI and ML. Policy implications indicate that sustaining competitive advantage and fostering innovation in the electronics sector need investing in and using these cutting-edge simulation approaches. These tools will be increasingly necessary for managing complexity and fulfilling strict performance and reliability requirements as electronic devices develop, ultimately setting new standards for PCB design.
Transforming Business Operations: The Role of Information Systems in Enterprise Architecture
This study examines the revolutionary effects of integrating information systems (IS) within enterprise architecture (EA) on company operations to improve operational efficiency, data management, decision-making, communication, cooperation, and resource utilization. The research illustrates how cutting-edge technologies like edge computing, cloud computing, IoT, artificial intelligence, and machine learning are changing EA and IS and fostering efficiency and creativity. It does this by using a secondary data-based review process. According to critical results, IS is attributed to significant process optimization, enhanced data management, decision-making, communication facilitation, resource optimization, strategy alignment, and flexibility. The study admits shortcomings, such as reliance on secondary data and uneven application in various organizational settings. Not with standing these drawbacks, the insights offered have essential policy ramifications. Businesses should prioritize ongoing learning and adaptation, and governments should support scalable and adaptable enterprise architecture frameworks and solid cybersecurity safeguards. The study concludes that integrating IS within EA is crucial for changing how businesses operate and achieving long-term success. It also highlights the importance of taking advantage of technology advancements, and matching IS with strategic objectives to promote innovation, improve efficiency, and keep a competitive advantage in the digital age.
IoT-Enabled Smart Agriculture System Using Cognitive Computing
This paper explores the application of cognitive computing to integrating IoT-enabled innovative agriculture systems and its consequences for contemporary farming methods. The main goals are to examine these technologies' advantages, difficulties, and possible uses in agriculture and determine the policy ramifications for their broad implementation. A thorough analysis of current literature, including peer-reviewed journal articles, conference proceedings, industry reports, and case studies, is a crucial part of the technique. Key findings emphasize the increased accuracy and productivity of AI-driven decision-making and real-time data collecting, enhanced yield prediction and crop health monitoring, livestock management optimization, and streamlining supply chain operations. Widespread adoption is, however, hampered by obstacles such as high starting costs, scalability problems, data protection difficulties, and the requirement for technical skills. The policy implications include encouraging research and development, supporting farmers and training, and offering incentives for investments in innovative agriculture technologies. There is a great deal of promise to solve significant issues and open up new avenues for agriculture through integrating IoT-enabled innovative agriculture systems with cognitive computing, opening the door to a more resilient, sustainable, and adequate food system.
AI-Powered Predictive Maintenance for Industrial IoT Systems
AI and IoT systems have enabled AI-powered predictive maintenance, a proactive approach to industrial maintenance that predicts and prevents equipment breakdowns. This study examines AI-powered predictive maintenance in Industrial IoT systems to improve predictive accuracy, maintenance schedules, and operational efficiency. The paper covers AI and IoT integration, significant machine learning algorithms in maintenance, data integration, cybersecurity issues, and workforce training implications using secondary data. According to the findings, AI-powered predictive maintenance improves predictive accuracy, real-time monitoring, cost savings, safety, and scalability. Data integration issues and cybersecurity dangers increase the need for robust policy frameworks. Policy should promote interoperability standards, cybersecurity protocols, and workforce training to solve these issues and promote AI-powered predictive maintenance. This study concludes that AI-powered predictive maintenance can transform industrial processes and ensure digital sustainability and competitiveness.
Next-Generation Automotive Electronics: Advancements in Electric Vehicle Powertrain Control
The study looks into developments in next-generation automotive electronics, namely in electric vehicle powertrain control. The main aims of the study were to investigate novel technologies, determine essential avenues for future research, and evaluate the policy consequences that would influence electric mobility in the future. The most recent developments in battery technology, power electronics, motor design, charging infrastructure, and grid integration were examined in-depth through a thorough analysis of the literature and industry reports. The evolution of the charging infrastructure to support the expanding fleet of electric vehicles, the integration of cutting-edge technologies like artificial intelligence and wide-bandgap semiconductors, and the significance of addressing regulatory, cybersecurity, and equity concerns are some significant findings. The policy implications emphasize the necessity of focused interventions to overcome infrastructural constraints, simplify regulatory frameworks, reduce cybersecurity concerns, and encourage social acceptance and fairness in introducing electric vehicles. The report emphasizes how next-generation vehicle electronics can revolutionize transportation and accelerate the shift to greener, more sustainable systems.
Emerging Trends in Rubber Additives for Enhanced Performance and Sustainability
This analysis looks into new developments in rubber additives to improve the performance and sustainability of rubber goods. The study is to investigate recycling programs in the rubber industry, assess the applications of multifunctional additives, and investigate advancements in bio-based additives. A thorough evaluation process was used, which included examining peer-reviewed papers, industry reports, and scholarly works about sustainable materials and rubber additives. The key conclusions highlight the revolutionary potential of bio-based additives, like natural antioxidants and plasticizers made from vegetable oil, to lessen environmental effects while preserving or enhancing rubber performance. Multifunctional additives that combine processing, anti-aging, and reinforcing functions optimize rubber characteristics and production efficiency. Policy implications highlight the significance of industry cooperation and regulatory support in overcoming technological obstacles, lowering costs, and encouraging the adoption of sustainable rubber additives. This helps the rubber industry adhere to environmental stewardship and circular economy concepts. The study underscores the significance of developing patterns in rubber additives to propel innovation and sustainability within the rubber materials industry.
The Evolution of Business Models in the Digital Age: Implications for Energy, Environment, and Finance
Due to the digital age, businesses are entering a revolutionary period, transforming sectors like energy, the environment, finance, and conventional business models. The evolution of business models in the digital age and its effects on finance, the environment, and energy are examined in this study. The study aimed to investigate the impact of digital transformation on business models, assess how sustainability principles are incorporated into business practices, pinpoint significant discoveries, and suggest policy recommendations for firms and governments. The study's methodology thoroughly examined secondary data sources, such as industry reports, governmental documents, and scholarly literature, to combine many viewpoints and ideas. The study's key conclusions show how digitization changes business models by integrating sustainability principles, upending established industries, and creating chances for creativity and cooperation. To address new issues and foster sustainable growth in the digital age, policy implications include the necessity of regulatory frameworks that support innovation and sustainability, investments in digital infrastructure and skill development, and cooperation between companies, governments, and stakeholders.
Strategic Frameworks for Optimizing Customer Engagement in the Digital Era: A Comparative Study
Optimizing customer engagement in the rapidly evolving digital landscape has become a critical priority for businesses across industries. This comparative study explores strategic frameworks for enhancing digital customer engagement and provides insights into their effectiveness, applicability, and implications for companies and policymakers. The study's main objectives include comparing and analyzing various strategic frameworks for optimizing customer engagement in the digital era, evaluating the effectiveness and adaptability of these frameworks across different industries, and identifying key findings and implications for businesses and policymakers seeking to enhance digital customer engagement strategies. The study adopts a secondary data-based review methodology, analyzing existing literature, industry reports, and academic research to compare and evaluate strategic frameworks. Significant findings highlight the importance of adopting a holistic approach, leveraging data-driven insights, fostering collaboration and co-creation, and embracing emerging technologies in digital customer engagement strategies. Policy implications include recommendations for policymakers to promote responsible and ethical practices in digital customer engagement, including guidelines for data privacy, consumer education initiatives, and support for industry collaboration and innovation. The study helps organizations and policymakers navigate digital complexity with valuable insights and recommendations.
From Code to Carbon: A Comprehensive Analysis of Digitalization's Role in Shaping Sustainable Societies
This article delves into the intricate relationship between digitalization and sustainability, offering a holistic analysis of the environmental impact and societal implications of our increasingly digitized world. From decoding the carbon footprint of digitalization to exploring its potential for environmental stewardship and social equity, the study aims to provide insights into the transformative role of digital technologies in shaping a sustainable future. This comprehensive analysis explores the intricate relationship between digitalization and sustainability, shedding light on its dual facets. From decoding the environmental impact and carbon footprint of digitalization to unveiling its transformative potential for environmental stewardship and social equity, the study navigates the complexities of our digitized world. The findings underscore the imperative for sustainable practices in the digital realm, emphasizing the need for informed decision-making and intentional efforts to mitigate adverse impacts. As digitalization shapes our future, this study provides a nuanced understanding of its role in forging a path towards a sustainable and inclusive global society.
Byte by Byte: Navigating the Chronology of Digitization and Assessing its Dynamic Influence on Economic Landscapes, Employment Trends, and Social Structures
This article meticulously traverses the historical timeline of digitization, offering a comprehensive exploration of its profound impact on economic frameworks, employment trajectories, and societal structures. From the advent of the digital era to the present, the evolution of digitization is scrutinized byte by byte, revealing a transformative journey that has redefined the fabric of modern existence. The economic landscape is dissected, highlighting the seismic shifts brought about by digitization. The integration of digital technologies has not only accelerated economic growth but has also triggered paradigmatic changes in business models, fostering innovation and reshaping market dynamics. Examining the intricate relationship between digitization and employment trends, the article delves into the creation of new job sectors, the automation of traditional roles, and the emergence of a dynamic, tech-driven workforce. As industries evolve, so too do the skills in demand, prompting a reevaluation of educational paradigms and workforce training. Beyond economic realms, the societal impact of digitization is analyzed. The digitization wave has altered communication patterns, transformed social interactions, and redefined the concept of community. Issues of digital inclusion and accessibility are scrutinized, shedding light on the potential disparities arising from uneven technological adoption. In essence, this article serves as a roadmap through the digital revolution, offering a nuanced understanding of how digitization has intricately woven itself into the tapestry of our world, shaping economies, molding employment landscapes, and influencing the very essence of societal structures.
Getting Started Modern Web Development with Next.js: An Indispensable React Framework
Developers spend much time and effort mixing many technologies to produce an entire web application. Frameworks like Next.js help. Next.js neatly organizes packages and configuration files. Its full-stack web application framework lets developers create front-end and back-end code in one place, making it unique. It simplifies the developer's life and speeds up product shipping. However, full-stack frameworks like next.js must compile the entire code base for every production build because we write it all in one location. There was room for improvement. In this article, we will explain how we may increase the efficiency of a production build next.js app utilizing strategies and coding patterns we learned when constructing a badminton data analytics-based web app.
Copyright (c) 2021 Venkata Koteswara Rao Ballamudi, Karu Lal, Harshith Desamsetti, Sreekanth Dekkati https://creativecommons.org/licenses/by-nc/4.0
Evolution of the Cyber Security Threat: An Overview of the Scale of Cyber Threat
It is impossible to dismiss the importance of cybersecurity in today's digital world. Even a single breach in security can result in the exposure of the personal information of millions of individuals. Because of these breaches, the organizations suffer significant financial repercussions, and their customers lose trust. As a result, adequate cyber security is necessary to safeguard individuals and businesses from spammers and other cybercriminals. The term "cyber security" refers to the collection of technologies, procedures, and practices intended to protect networks, devices, programs, and data from being attacked, damaged, or accessed without authorization. Information technology security is another term that can be used interchangeably with cyber security. This study sheds light on some tactics, rapid measures, and forward-looking perspectives about cyber security and cyber danger.