Global Disclosure of Economics and Business
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language: en
publication name: Global Disclosure of Economics and Business
issn: 2305-9168
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items: Robotics and Algorithmic Trading: A New Era in Stock Market Trend Analysis
items: The Textile Industry in Bangladesh: Growth Trends, Challenges, and Future Prospects
items: Evaluating the Impact of Liquidity and Solvency on Profitability: An Empirical Study
items: Cybersecurity Risks in Financial Transactions: Implications for Global Trade and Economic Development
items: Data-Driven Business Intelligence in Energy Distribution: Analytics and Environment-Focused Approaches
items: Impact of Institutional Distance and Cultural Distance on China’s OFDI in BRI Countries
items: Financial Performance and Cost Efficiency in the Textile Industry: A CVP Analysis of Square Textile PLC and Paramount Textile PLC
items: Machine Learning-Driven Gamification: Boosting User Engagement in Business
items: Blockchain’s Influence on Asset Management and Investment Strategies
items: Harnessing Blue Economy Potential for Sustainable Development: Navigating Opportunities and Challenges
items: Exploring the Impact of Digital Transformation on Business Operations and Customer Experience
items: Natural Language Processing for Automated Customer Service in Banking
items: Supply Chain Optimization: Machine Learning Applications in Inventory Management for E-Commerce
items: Micro Credit and Women Empowerment: A Study on Grameen Bank’s Strategy of Poverty Alleviation
items: Enhancing Food Service Sales through AI and Automation in Convenience Store Kitchens
items: Thermoplastic Elastomers: Emerging Trends and Applications in Rubber Manufacturing
items: AI-Powered Decentralized Recruitment System on the Blockchain
items: Beyond Human Judgment: Exploring the Impact of Artificial Intelligence on HR Decision-Making Efficiency and Fairness
items: Stochastic Optimization Models for Supply Chain Management: Integrating Uncertainty into Decision-Making Processes
items: Data-Driven Decision Making: A Framework for Integrating Workforce Analytics and Predictive HR Metrics in Digitalized Environments
items: Crisis Management in South East Asia's Tourism Industry: Resilience and Adaptation Strategies
items: Revolutionizing Customer Experience through Innovative Digital Marketing Approaches
items: Community Engagement in Southeast Asia's Tourism Industry: Empowering Local Economies
items: Evolution of Smart Farming: Integrating IoT and AI in Agricultural Engineering
items: Unraveling Java's Prowess and Adaptable Architecture in Modern Software Development
items: Navigating the Landscape of Mobile Banking in Bangladesh: A Critical Examination of Challenges and Opportunities
items: Digitization History and its Impact on the Economy, Employment, and Society
items: Business Security Threat Overview Using IT and Business Intelligence
items: Business Value of Digitization: Curse or Blessing?
items: Relational Database Management Systems in Business and Organization Strategies

Robotics and Algorithmic Trading: A New Era in Stock Market Trend Analysis
type: item
description: This paper uses machine learning to examine how robots and algorithmic trading have transformed stock market trend analysis. The main goals are to assess how these sophisticated systems improve prediction accuracy, trading efficiency, market liquidity, and their problems and policy consequences. The research synthesizes academic, industrial, and technical literature using secondary sources. Significant results show that robots and algorithmic trading have enhanced trading speed, accuracy, and market efficiency while increasing market volatility data quality and model overfitting issues. Machine learning improves trend analysis by spotting complicated patterns and improving trading techniques. These advances need solid regulatory frameworks to control risks, including market instability and ethical issues. Policy implications include circuit breakers and transparency standards to promote fair and stable markets. This study emphasizes balancing technology innovation with regulation to provide a safe and fair trade environment.
subject: Articles
  topic: section
subject: Robotics
  topic: keywords
subject: Algorithmic Trading
  topic: keywords
subject: Stock Market
  topic: keywords
subject: Trend Analysis
  topic: keywords
subject: Financial Technology
  topic: keywords
subject: Quantitative Finance
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Investment Strategies
  topic: keywords
creator: Jaya Chandra Srikanth Gummadi
creator: Narasimha Rao Boinapalli
creator: Rajasekhar Reddy Talla
creator: Deekshith Narsina
rights: Copyright (c) 2021 Jaya Chandra Srikanth Gummadi; Narasimha Rao Boinapalli; Rajasekhar Reddy Talla; Deekshith Narsina https://creativecommons.org/licenses/by-nc/4.0
date: 2021-12-31
publication date: 2021-12-31
starting page: 129
ending page: 140
doi: 10.18034/gdeb.v10i2.769

The Textile Industry in Bangladesh: Growth Trends, Challenges, and Future Prospects
type: item
description: The textile industry plays a pivotal role in Bangladesh’s economic development by contributing significantly to employment generation, GDP growth, and foreign exchange earnings. This study aims to analyze the current state of the sector, its growth trajectory, and the factors influencing its performance. Using secondary data from relevant sources, a comparative analysis was conducted with tabulated and graphical representations in MS Excel. The findings reveal that, despite its contributions, the sector faces challenges such as fluctuating growth rates, rising global competition, and compliance with sustainability standards. Key factors affecting the industry's performance include low labor costs, the emergence of green factories, foreign direct investment (FDI), and the demand for high-value apparel products. While Bangladesh has set an ambitious target of $100 billion in textile exports by 2030, achieving this goal requires strategic policy reforms, enhanced infrastructure, and capacity-building initiatives. Robust public and private sector collaboration is essential to meet the evolving expectations of multinational buyers and sustain long-term growth. This study underscores the need for sustainable policies, innovation, and investment in technology to ensure the industry's resilience and competitiveness in the global market.
subject: Articles
  topic: section
subject: Textile Sector
  topic: keywords
subject: GDP Contribution
  topic: keywords
subject: Export Growth
  topic: keywords
subject: Foreign Direct Investment (FDI)
  topic: keywords
subject: Readymade Garments (RMG)
  topic: keywords
subject: Green Factories
  topic: keywords
subject: Trade Policy Reforms
  topic: keywords
creator: Md. Saheb Ali Mondal
creator: Mohammad Main Uddin
creator: Nazma Akter
rights: Copyright (c) 2024 Md. Saheb Ali Mondal; Mohammad Main Uddin; Nazma Akter https://creativecommons.org/licenses/by-nc/4.0
date: 2025-03-01
publication date: 2025-03-01
starting page: 73
ending page: 86
doi: 10.18034/gdeb.v13i2.789

Evaluating the Impact of Liquidity and Solvency on Profitability: An Empirical Study
type: item
description: The study aims to assess how solvency and liquidity affect profitability. Five conventional PCBs were used as a sample in the investigation using the judgmental sampling technique. This study is considered a five-year study period spanning from 2015 to 2019. Annual reports of sample banks and other pertinent sources have been consulted in collecting and utilizing secondary data. The study used multiple regression analysis to examine how various liquidity and solvency indicators affect profitability characteristics. The findings indicate that cash ratio, CAR, DER, and DAR do not significantly affect ROA, whereas CR and WCR do. Conversely, although CR, CAR, and DER significantly impact EPS, cash ratio, WCR, and DAR have no considerable effect on EPS.
subject: Articles
  topic: section
subject: Liquidity
  topic: keywords
subject: Solvency
  topic: keywords
subject: Profitability
  topic: keywords
subject: DSE
  topic: keywords
subject: Conventional PCBs
  topic: keywords
creator: Taposh Kumar Neogy
creator: Md. Solaiman Hossain
creator: Md. Obaidur Rahman
rights: Copyright (c) 2023 Taposh Kumar Neogy, Md. Solaiman Hossain, Md. Obaidur Rahman https://creativecommons.org/licenses/by-nc/4.0
date: 2023-12-31
publication date: 2023-12-31
starting page: 67
ending page: 74
doi: 10.18034/gdeb.v12i2.729

Cybersecurity Risks in Financial Transactions: Implications for Global Trade and Economic Development
type: item
description: This research examines financial transaction cybersecurity vulnerabilities and their effects on global commerce and economic growth. The study seeks to understand cyber dangers, financial system vulnerabilities, and economic impact of international trade. The research examines cybersecurity concerns using secondary data from literature, industry reports, and case studies. Phishing, ransomware, and advanced persistent threats (APTs) targeting crucial financial systems, including interbank payment networks and supply chain financing, are becoming more sophisticated. The report also shows that developing countries are susceptible to weak cybersecurity infrastructure and worsening global economic imbalances. The study also emphasizes the relevance of AI, blockchain, and multi-factor authentication in cybersecurity. Policy implications include international collaboration to unify cybersecurity standards and laws and targeted help for developing economies to improve cybersecurity resilience. The research recommends cybersecurity innovation and cross-border cooperation to promote safe and fair global commerce. The results emphasize the need to enhance cybersecurity policies to protect economic stability and promote sustainable growth in a digitalized world.
subject: Articles
  topic: section
subject: Cybersecurity Risks
  topic: keywords
subject: Financial Transactions
  topic: keywords
subject: Global Trade
  topic: keywords
subject: Economic Development
  topic: keywords
subject: Digital Finance
  topic: keywords
subject: Cyber Threats
  topic: keywords
subject: Supply Chain Finance
  topic: keywords
subject: Cyberattack Mitigation
  topic: keywords
creator: RamMohan Reddy Kundavaram
creator: Abhishake Reddy Onteddu
creator: Md. Nizamuddin
creator: Krishna Devarapu
rights: Copyright (c) 2023 RamMohan Reddy Kundavaram; Abhishake Reddy Onteddu; Md. Nizamuddin; Krishna Devarapu https://creativecommons.org/licenses/by-nc/4.0
date: 2023-12-31
publication date: 2023-12-31
starting page: 53
ending page: 66
doi: 10.18034/gdeb.v12i2.787

Data-Driven Business Intelligence in Energy Distribution: Analytics and Environment-Focused Approaches
type: item
description: This research examines data-driven business intelligence (BI) in energy distribution, concentrating on analytics and environmental methods to improve efficiency and sustainability. The main goals are to explore how BI frameworks can integrate environmental metrics like greenhouse gas emissions, energy loss, and resource efficiency and how predictive analytics, AI, and edge computing can optimize energy distribution systems. The review uses secondary data from academic literature, case studies, and industry reports. Results show that energy distributors may make sustainable choices by integrating environmental parameters into BI frameworks, although data integration, real-time processing, and cybersecurity remain issues. To address these issues, AI, machine learning, and blockchain can improve data processing, grid management, and transparency. The research also recommends governmental interventions to standardize data standards, reinforce cybersecurity frameworks, and create data science and AI workforces. These policy consequences are essential for promoting BI technology adoption and guaranteeing efficient, environmentally friendly energy distribution networks. This research shows that data-driven BI may make energy distribution more sustainable and resilient, meeting global sustainability targets.
subject: Articles
  topic: section
subject: Data-Driven Business Intelligence
  topic: keywords
subject: Energy Distribution
  topic: keywords
subject: Environmental Sustainability
  topic: keywords
subject: Greenhouse Gas Emissions
  topic: keywords
subject: Renewable Energy Integration
  topic: keywords
subject: Smart Grid Technologies
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
creator: Hari Priya Kommineni
creator: Pavan Kumar Gade
creator: Satya Surya MKLG Gudimetla Naga Venkata
creator: Aditya Manikyala
rights: Copyright (c) 2024 Hari Priya Kommineni; Pavan Kumar Gade; Satya Surya MKLG Gudimetla Naga Venkata; Aditya Manikyala https://creativecommons.org/licenses/by-nc/4.0
date: 2024-06-30
publication date: 2024-06-30
starting page: 59
ending page: 72
doi: 10.18034/gdeb.v13i1.779

Impact of Institutional Distance and Cultural Distance on China’s OFDI in BRI Countries
type: item
description: This research delves into the complex dynamics influencing China's Outward Foreign Direct Investment (OFDI) within the Belt and Road Initiative (BRI) framework, focusing on the role of institutional and cultural factors. The BRI, a massive global infrastructure and economic development project initiated by China, has attracted significant scholarly and policy attention due to its potential implications for international financial governance and development. The research aims to contribute to the academic understanding of China's investment behavior within the BRI by analyzing the impact of institutional and cultural distance on OFDI patterns. By utilizing panel data from nearly 50 BRI nations and employing analytical techniques, the research sheds light on how these factors shape China's investment decisions from 2011 to 2020. The research suggests that institutional distance promotes China's OFDI to BRI nations, whereas cultural distance is a deterrent. Differences in formal rules and regulations between China and BRI countries tend to encourage investment, while differences in cultural norms and practices hinder it. Moreover, the research highlights that cultural differences have a more substantial negative impact on investment than institutional disparities. Regarding policy implications, the research suggests that efforts to reduce cultural barriers and enhance cross-cultural understanding could facilitate more excellent Investment from China within the BRI countries.
subject: Articles
  topic: section
subject: Outward Foreign Direct Investment
  topic: keywords
subject: Institutional Distance
  topic: keywords
subject: Cultural Distance
  topic: keywords
subject: China
  topic: keywords
subject: Belt and Road Countries
  topic: keywords
creator: Md Saikat Hosen
creator: Md. Habibur Rahman
rights: Copyright (c) 2024 Md Saikat Hosen, Md. Habibur Rahman https://creativecommons.org/licenses/by-nc/4.0
date: 2024-06-30
publication date: 2024-06-30
starting page: 43
ending page: 58
doi: 10.18034/gdeb.v13i1.777

Financial Performance and Cost Efficiency in the Textile Industry: A CVP Analysis of Square Textile PLC and Paramount Textile PLC
type: item
description: This comparative analysis utilizes Cost-Volume-Profit (CVP) analysis to examine the cost structures and financial performance of Square Textile PLC and Paramount Textile PLC within the textile industry in Bangladesh. The study is based on secondary data from the company's FY 2022-23 annual report. Researchers found that Paramount Textile PLC demonstrates superior cost efficiency and profitability potential across multiple financial metrics compared to Square Textile PLC. Paramount Textile PLC exhibits a lower variable cost percentage, higher contribution margin ratio, and more efficient management of fixed costs relative to its contribution margin, leading to higher operating profit percentages and lower break-even sales levels. Both companies maintain a high margin of safety percentages. Still, Paramount Textile PLC's slightly higher margin of safety suggests a stronger financial position, potentially due to more efficient cost management or higher profit margins. These findings underscore the significance of cost efficiency and effective financial management in driving long-term profitability and economic resilience in the competitive textile industry. The study suggests that Square Textile PLC should focus on optimizing variable and fixed costs, improving operational efficiency, and reviewing its pricing strategy to enhance profitability and competitiveness in the market. Paramount Textile PLC should continue its focus on maintaining cost control, optimizing product mix, investing in innovation, and further exploring opportunities for market expansion to strengthen its position and profitability in the industry.
subject: Articles
  topic: section
subject: Cost Structure
  topic: keywords
subject: Cost-Volume-Profit
  topic: keywords
subject: Contribution Margin
  topic: keywords
subject: Break-Even-Point
  topic: keywords
subject: Margin of Safety
  topic: keywords
creator: Mohammad Jafaur Ahamed
rights: Copyright (c) 2024 Mohammad Jafaur Ahamed https://creativecommons.org/licenses/by-nc/4.0
date: 2024-06-30
publication date: 2024-06-30
starting page: 31
ending page: 42
doi: 10.18034/gdeb.v13i1.775

Machine Learning-Driven Gamification: Boosting User Engagement in Business
type: item
description: This research shows personalized, adaptive, and data-driven machine learning-driven gamification may improve corporate user engagement. The goal is to study how machine learning (ML) may improve classic gamified systems by providing personalized challenges, improved reward structures, and predictive insights to maintain interest. This study synthesizes existing machine learning and gamification literature using secondary data to identify critical trends, difficulties, and future directions. ML allows deep customization and behavior prediction, which is crucial for user pleasure and engagement. Data privacy and algorithmic bias pose ethical and practical issues, highlighting the need for solid legislative frameworks. Transparent data methods, user control, and algorithmic fairness principles promote equal user experiences. As real-time adaptation, emotion detection, and immersive technologies emerge, machine learning-driven gamification will help contemporary businesses retain user engagement, loyalty, and satisfaction. This research allows companies to balance engagement innovation with data management to build ethical and successful gamification methods.
subject: Articles
  topic: section
subject: Machine Learning
  topic: keywords
subject: Gamification
  topic: keywords
subject: User Engagement
  topic: keywords
subject: Behavior Prediction
  topic: keywords
subject: Data Privacy
  topic: keywords
subject: Reward Optimization
  topic: keywords
subject: Algorithmic Bias
  topic: keywords
subject: Adaptive Systems
  topic: keywords
subject: Business Strategy
  topic: keywords
creator: Kazi Ahmed Farhan
creator: A B M Asadullah
creator: Hari Priya Kommineni
creator: Pavan Kumar Gade
creator: Satya Surya MKLG Gudimetla Naga Venkata
rights: Copyright (c) 2023 Kazi Ahmed Farhan; A B M Asadullah; Hari Priya Kommineni; Pavan Kumar Gade; Satya Surya MKLG Gudimetla Naga Venkata https://creativecommons.org/licenses/by-nc/4.0
date: 2023-06-30
publication date: 2023-06-30
starting page: 41
ending page: 52
doi: 10.18034/gdeb.v12i1.774

Blockchain’s Influence on Asset Management and Investment Strategies
type: item
description: The merits, drawbacks, and regulatory consequences of blockchain technology on asset management and investing methods are examined in this paper. The study synthesizes literature, case studies, and industry reports using secondary data to assess how blockchain improves portfolio diversification, liquidity, transparency, and risk management. Blockchain allows asset tokenization, enabling fractional ownership and access to varied asset classes, while decentralized markets provide liquidity for illiquid assets. The report states blockchain improves transparency and automates risk management using smart contracts. However, security concerns, operational complexity, and regulatory uncertainty may prevent broad implementation. According to the research, blockchain may be incorporated into asset management processes with a balanced regulatory framework that promotes innovation, security, and compliance. Policymakers should work with industry stakeholders to provide clear blockchain standards that promote advantages and mitigate hazards. This report emphasizes blockchain's disruptive potential in asset management and recommends innovative approaches to integrate it into established financial institutions.
subject: Articles
  topic: section
subject: Blockchain Technology
  topic: keywords
subject: Asset Management
  topic: keywords
subject: Tokenization
  topic: keywords
subject: Portfolio Diversification
  topic: keywords
subject: Smart Contracts
  topic: keywords
subject: Financial Transparency
  topic: keywords
subject: Digital Assets
  topic: keywords
creator: Pavan Kumar Gade
creator: Narayana Reddy Bommu Sridharlakshmi
creator: Abhishekar Reddy Allam
creator: Christopher Ryan Thompson
creator: Satya Surya MKLG Gudimetla Naga Venkata
rights: Copyright (c) 2022 Pavan Kumar Gade; Narayana Reddy Bommu Sridharlakshmi; Abhishekar Reddy Allam; Christopher Ryan Thompson; Satya Surya MKLG Gudimetla Naga Venkata https://creativecommons.org/licenses/by-nc/4.0
date: 2022-12-31
publication date: 2022-12-31
starting page: 115
ending page: 128
doi: 10.18034/gdeb.v11i2.772

Harnessing Blue Economy Potential for Sustainable Development: Navigating Opportunities and Challenges
type: item
description: The blue economy, an innovative approach to sustainable development, holds the potential to transform our world. It emphasizes the responsible use of ocean resources to foster economic growth, improve livelihoods, and preserve marine ecosystems. This paper delves into the multifaceted aspects of the blue economy, exploring its potential as a catalyst for global prosperity. By analyzing successful case studies, policy frameworks, and technological advancements, this research examines how the blue economy can be harnessed to address pressing challenges such as climate change, poverty alleviation, and food security. Furthermore, the paper highlights the importance of international collaboration, innovative technologies, and policy coherence in maximizing the benefits of the blue economy. Through a comprehensive analysis of the blue economy's current state and future prospects, this study provides valuable insights for policymakers, researchers, and stakeholders, emphasizing the need for sustainable practices to ensure a harmonious coexistence between humanity and the oceans.
subject: Articles
  topic: section
subject: Blue Economy
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Ocean Resources
  topic: keywords
subject: Marine Ecosystems
  topic: keywords
subject: Sustainable Investment
  topic: keywords
subject: Coastal Tourism
  topic: keywords
creator: Farhanaz Luna
rights: Copyright (c) 2024 Global Disclosure of Economics and Business https://creativecommons.org/licenses/by-nc/4.0
date: 2024-06-30
publication date: 2024-06-30
starting page: 21
ending page: 30
doi: 10.18034/gdeb.v13i1.768

Exploring the Impact of Digital Transformation on Business Operations and Customer Experience
type: item
description: This study examines how digital transformation affects corporate operations and customer experience to determine its main pros and cons. Digital developments' effects on operational efficiency and customer happiness are assessed using secondary data from current research and case studies. Digital transformation enhances operational processes via automation, data analytics, and customer experience through customization, AI-powered support, and seamless integration across numerous channels. Significant challenges include high installation costs, business performance variation, and data privacy risks. The report proposes many policy consequences, such as providing financial assistance to small and medium-sized firms (SMEs), enforcing standard norms for data security, and encouraging research unique to different industries. These steps reduce difficulties and make it easier for enterprises to embrace digital technology. The goal is to enable organizations to fully use digital transformation to achieve operational excellence and improve customer engagement.
subject: Articles
  topic: section
subject: Digital Transformation
  topic: keywords
subject: Business Operations
  topic: keywords
subject: Customer Experience
  topic: keywords
subject: Technology Integration
  topic: keywords
subject: Innovation Strategies
  topic: keywords
subject: Digital Tools
  topic: keywords
subject: Change Management
  topic: keywords
creator: Kanaka Rakesh Varma Kothapalli
rights: Copyright (c) 2022 Kanaka Rakesh Varma Kothapalli https://creativecommons.org/licenses/by-nc/4.0
date: 2022-12-31
publication date: 2022-12-31
starting page: 103
ending page: 114
doi: 10.18034/gdeb.v11i2.760

Natural Language Processing for Automated Customer Service in Banking
type: item
description: NLP integration into automated banking customer care systems is examined for its effects on customer experience and operational efficiency. The main goals are to assess NLP's effects on customer happiness, reaction times, and accuracy and identify its limits. Secondary data compares satisfaction levels, response times, and mistake rates before and after NLP's implementation. NLP enhances customer satisfaction and operational efficiency, particularly for routine queries and transactions. Complex problems and technical aid need human intervention, making management challenging. Privacy and data security are also important. Policy implications advise strong data security and a balanced strategy combining automated and human help to answer complex inquiries. NLP can improve banking customer service. However, the research suggests more development and deliberate policy implementation.
subject: Articles
  topic: section
subject: Natural Language Processing
  topic: keywords
subject: Automated Customer Service
  topic: keywords
subject: Banking
  topic: keywords
subject: Chatbots
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Sentiment Analysis
  topic: keywords
subject: NLP Applications
  topic: keywords
subject: AI in Banking
  topic: keywords
creator: Manzoor Anwar Mohammed
rights: Copyright (c) 2021 Manzoor Anwar Mohammed https://creativecommons.org/licenses/by-nc/4.0
date: 2021-12-31
publication date: 2021-12-31
starting page: 117
ending page: 128
doi: 10.18034/gdeb.v10i2.759

Supply Chain Optimization: Machine Learning Applications in Inventory Management for E-Commerce
type: item
description: This study delves into the potential impact of machine learning (ML) on supply chain optimization and inventory management for e-commerce. Our primary focus is analyzing the accuracy of demand forecasting, optimizing inventory levels, and evaluating the impact of real-time decision-making on supply chain efficiency. Using a secondary data-based review methodology, this study explores the implementation of advanced predictive analytics, real-time data processing, autonomous operations, and personalized customer experiences in prominent e-commerce companies like Amazon, Walmart, and Alibaba. Our findings show impressive advancements in demand forecasting accuracy, dynamic inventory management, and operational responsiveness. These improvements have led to cost savings and increased customer satisfaction. Nevertheless, some drawbacks exist, such as the significant expenses associated with implementation, concerns about data privacy, and the potential for overfitting the model. Policy implications call for solid data protection regulations, financial assistance for smaller businesses, and ethical guidelines for AI to promote fair and responsible machine learning applications. By tackling these obstacles, companies can maximize the potential of ML technologies to enhance efficiency, promote sustainability, and gain a competitive edge in the ever-changing world of e-commerce.
subject: Articles
  topic: section
subject: Supply Chain Optimization
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Inventory Management
  topic: keywords
subject: E-Commerce
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Demand Prediction
  topic: keywords
subject: Inventory Optimization
  topic: keywords
creator: Ferdouse Ara Tuli
creator: Manzoor Anwar Mohammed
creator: Dipakkumar Kanubhai Sachani
rights: Copyright (c) 2024 Ferdouse Ara Tuli; Manzoor Anwar Mohammed; Dipakkumar Kanubhai Sachani https://creativecommons.org/licenses/by-nc/4.0
date: 2024-06-30
publication date: 2024-06-30
starting page: 1
ending page: 20
doi: 10.18034/gdeb.v13i1.758

Micro Credit and Women Empowerment: A Study on Grameen Bank’s Strategy of Poverty Alleviation
type: item
description: Generally, it is held that, Women economic participation is positively related to their status. It is assumed that participation changes woman’s power relationship and hence her status in the family, and thus a woman having no such access will have relatively low power and status. Relatively argued, women experience hunger and poverty in much more intensive ways than men. If one of the family members has to starve, it is an unwritten law that it has to be the mother. That is why women were targeted in the center point of micro credit program. However, the stagnation in the impact of micro credit on income may have serious implication for the success of micro finance institution and their long term sustainability and therefore the question deserves serious attention from researchers. The above concerns are related mostly to the long term impact of micro credit. Thereby we were intended to see the structures which dictate dependence press on these women. And if the gains they have made in income and assets are to be sustained, the control they have negotiated over their lives is to be maintained. In this regard, we want to see how women can build their empowerment and what Grameen Bank can do to strengthen them for poverty alleviation. JEL Classification Code: I32; E51
subject: Articles
  topic: section
subject: Micro Credit
  topic: keywords
subject: Women Empowerment
  topic: keywords
subject: Poverty Alleviation
  topic: keywords
creator: Mohammed Thanvir Ahmed Chowdhury
creator: Musa. Halima Begum
creator: Md. Ridwan Reza
creator: Tahrima Chowdhury Jannath
rights: Copyright (c) 2013 Mohammed Thanvir Ahmed Chowdhury, Musa Halima Begum, Md. Ridwan Reza, Tahrima Chowdhury Jannath
date: 2013-12-31
publication date: 2013-12-31
starting page: 209
ending page: 224
doi: 10.18034/gdeb.v2i2.189

Enhancing Food Service Sales through AI and Automation in Convenience Store Kitchens
type: item
description: According to one study, AI and automation may boost convenience store kitchen food service sales. The primary goals were to study how AI and automation technologies boost revenue, customer satisfaction, and operational efficiency. A review used secondary data from industry reports, case studies, and academic literature. Significant findings show that AI-driven predictive analytics improve inventory management by precisely estimating demand and decreasing waste and stockouts. Automatic cooking technology maintains food quality and speed, while self-service kiosks and mobile ordering platforms personalize client experiences and ease ordering, increasing sales and repeat business. Regulators must handle data privacy concerns and help workers adjust to new technologies. By meeting changing consumer expectations and operational constraints, convenience store kitchens can achieve sustainable growth and competitive advantage with strategic AI and automation.
subject: Articles
  topic: section
subject: AI Integration
  topic: keywords
subject: Food Service Sales
  topic: keywords
subject: Convenience Stores
  topic: keywords
subject: Kitchen Efficiency
  topic: keywords
subject: Smart Technologies
  topic: keywords
subject: Food Service Automation
  topic: keywords
creator: Dipakkumar Kanubhai Sachani
creator: Niravkumar Dhameliya
creator: Kishore Mullangi
creator: Sunil Kumar Reddy Anumandla
creator: Sai Charan Reddy Vennapusa
rights: Copyright (c) 2021 Dipakkumar Kanubhai Sachani, Niravkumar Dhameliya, Kishore Mullangi, Sunil Kumar Reddy Anumandla, Sai Charan Reddy Vennapusa https://creativecommons.org/licenses/by-nc/4.0
date: 2021-12-31
publication date: 2021-12-31
starting page: 105
ending page: 116
doi: 10.18034/gdeb.v10i2.754

Thermoplastic Elastomers: Emerging Trends and Applications in Rubber Manufacturing
type: item
description: Rubber manufacturing is revolutionized by thermoplastic elastomers (TPEs), incredibly adaptable materials uniquely combining sustainability, processability, and elasticity. This review examines the new developments and uses of TPEs across a range of industries, with an emphasis on the consumer products, construction, automotive, and healthcare sectors. This study aims to investigate the development of TPE families, evaluate their features and uses, spot emerging trends, and consider policy consequences. A thorough literature analysis, industry reports, and research articles about TPEs and rubber manufacture were compiled to gather secondary data. The key conclusions include the adaptability of TPEs in various sectors, bio-based and functional TPE developments, and difficulties with material stability and recycling potential. The significance of regulatory frameworks, research funding, and collaboration in fostering TPE innovation and adoption is emphasized by policy implications. TPEs have the potential to lead the industry's shift toward high-performance, sustainable materials in the future, creating new avenues for product development and competitive advantage. Researchers, politicians, and industry stakeholders who want to use TPE technologies to improve rubber production processes and increase environmental sustainability will find this study very insightful.
subject: Articles
  topic: section
subject: Thermoplastic Elastomers
  topic: keywords
subject: Rubber Manufacturing
  topic: keywords
subject: Polymer Blends
  topic: keywords
subject: Material Science
  topic: keywords
subject: Additive Manufacturing
  topic: keywords
subject: Sustainable Materials
  topic: keywords
subject: Mechanical Properties
  topic: keywords
creator: Jayadip GhanshyamBhai Tejani
rights: Copyright (c) 2017 Jayadip GhanshyamBhai Tejani https://creativecommons.org/licenses/by-nc/4.0
date: 2017-12-31
publication date: 2017-12-31
starting page: 133
ending page: 144
doi: 10.18034/gdeb.v6i2.737

AI-Powered Decentralized Recruitment System on the Blockchain
type: item
description: By combining artificial intelligence (AI) algorithms with blockchain technology, the AI-powered decentralized Recruitment System on the Blockchain (ADRSoB) offers a cutting-edge method for completely changing the hiring process. This study aims to assess the effectiveness and impact of ADRSoB in several areas, such as user satisfaction, bias mitigation, candidate selection quality, efficiency, and transparency. From a methodological standpoint, case studies, research papers, and current literature pertinent to ADRSoB were compiled using a secondary data-based review article approach. Principal results show that ADRSoB increases user happiness while promoting transparency, mitigating biases, improving applicant selection quality, and streamlining recruiting processes. However, policy implications such as encouraging technology use, guaranteeing data privacy legislation, and fostering fairness in algorithmic systems are required due to obstacles to technology adoption, data privacy issues, and bias in algorithmic decision-making. ADRSoB has enormous potential to change hiring procedures while addressing critical issues and encouraging moral and responsible hiring in the digital era.
subject: Articles
  topic: section
subject: AI Recruitment
  topic: keywords
subject: Decentralized Hiring
  topic: keywords
subject: Blockchain Technology
  topic: keywords
subject: Recruitment Automation
  topic: keywords
subject: Decentralized HR
  topic: keywords
subject: Smart Contracts in Recruitment
  topic: keywords
creator: Janaki Rama Phanendra Kumar Ande
rights: Copyright (c) 2021 Janaki Rama Phanendra Kumar Ande https://creativecommons.org/licenses/by-nc/4.0
date: 2021-08-01
publication date: 2021-08-01
starting page: 91
ending page: 104
doi: 10.18034/gdeb.v10i2.734

Beyond Human Judgment: Exploring the Impact of Artificial Intelligence on HR Decision-Making Efficiency and Fairness
type: item
description: This study aims to evaluate the impact of artificial intelligence (AI) on the efficiency and fairness of human resources (HR) decision-making. The key goals are to determine how artificial intelligence improves decision-making efficiency, investigate the fairness issues involved in AI-driven human resource practices, and make policy suggestions for engaging in ethical HR practices. The approach utilized is known as secondary data analysis. It is used to synthesize insights and patterns by pulling upon previously published literature and empirical investigations; even though artificial intelligence technologies present an opportunity to optimize human resource operations and improve organizational performance, significant findings demonstrate that these technologies also create ethical problems connected to algorithmic biases and an absence of transparency. Regulatory oversight, ethical standards, data governance, diversity and inclusion programs, and constant monitoring and assessment are some of the policy implications that should be considered to guarantee responsible deployment of artificial intelligence in human resource contexts. When it comes to human resource decision-making, companies can embrace the revolutionary potential of artificial intelligence (AI) while maintaining ethical standards if they prioritize justice, openness, and accountability.
subject: Articles
  topic: section
subject: Artificial Intelligence
  topic: keywords
subject: Human Resources
  topic: keywords
subject: HR Decision Making
  topic: keywords
subject: Human Judgment
  topic: keywords
subject: AI in HR
  topic: keywords
subject: Ethical AI
  topic: keywords
creator: Md Abul Khair
creator: Ravikiran Mahadasa
creator: Ferdouse Ara Tuli
creator: Janaki Rama Phanendra Kumar Ande
rights: Copyright (c) 2020 Md Abul Khair; Ravikiran Mahadasa; Ferdouse Ara Tuli; Janaki Rama Phanendra Kumar Ande https://creativecommons.org/licenses/by-nc/4.0
date: 2020-12-31
publication date: 2020-12-31
starting page: 163
ending page: 176
doi: 10.18034/gdeb.v9i2.730

Stochastic Optimization Models for Supply Chain Management: Integrating Uncertainty into Decision-Making Processes
type: item
description: This study examines how supply chain management can use stochastic optimization models to overcome the problems associated with decision-making uncertainty. The study's primary goals are reviewing the literature on stochastic optimization models in supply chain management, gaining a thorough grasp of their applications, and evaluating how well they integrate uncertainty into decision-making processes. The method includes a comprehensive assessment of the current literature body, including scholarly journals, conference proceedings, and reliable web sources to obtain pertinent data and insights. The significance of incorporating uncertainty into decision-making procedures, the adaptability of stochastic optimization models for diverse supply chain functions, and their function in augmenting supply chain resilience via proactive risk mitigation and sound decision-making are among the principal discoveries. The policy implications indicate that investments in data analytics capabilities, capacity building, training programs, and regulatory frameworks are required to facilitate the implementation of stochastic optimization models in supply chain management. This study advances knowledge in supply chain management and informs future research and practice.
subject: Articles
  topic: section
subject: Stochastic Optimization
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Uncertainty Integration
  topic: keywords
subject: Modeling Uncertainty
  topic: keywords
subject: Decision Processes
  topic: keywords
subject: Probabilistic Models
  topic: keywords
subject: Logistics Optimization
  topic: keywords
creator: Dileep Reddy Goda
creator: Sridhar Reddy Yerram
creator: Suman Reddy Mallipeddi
rights: Copyright (c) 2018 Dileep Reddy Goda, Sridhar Reddy Yerram, Suman Reddy Mallipeddi https://creativecommons.org/licenses/by-nc/4.0
date: 2018-12-31
publication date: 2018-12-31
starting page: 123
ending page: 136
doi: 10.18034/gdeb.v7i2.725

Data-Driven Decision Making: A Framework for Integrating Workforce Analytics and Predictive HR Metrics in Digitalized Environments
type: item
description: This research offers a methodology for combining predictive HR indicators and workforce analytics to support data-driven HRM decision-making in digitalized settings. The study investigated the difficulties, prospects, tactics for executing, and optimal approaches related to the amalgamation of workforce analytics and predictive HR metrics. Additionally, the study sought to ascertain the policy ramifications for both firms and legislators. The study thoroughly analyzed prior research and secondary data sources to investigate the topic. The significance of data quality and governance, organizational alignment and leadership support, cooperation and cross-functional engagement, training and development, piloting and iterative improvement, and ongoing learning and adaptation are among the key conclusions. To facilitate the adoption and optimization of data-driven decision-making in HRM, policy implications include the requirement for data governance frameworks, training and development programs, regulatory frameworks, and incentives for innovation. This framework offers insightful analysis and helpful recommendations for firms using data to improve workforce management procedures and foster organizational performance in digitalized settings.
subject: Articles
  topic: section
subject: Workforce Analytics
  topic: keywords
subject: Predictive HR Metrics
  topic: keywords
subject: Human Resource Management
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Decision Support Systems
  topic: keywords
subject: Organizational Efficiency
  topic: keywords
subject: Strategic Planning
  topic: keywords
creator: Ferdouse Ara Tuli
creator: Aleena Varghese
creator: Janaki Rama Phanendra Kumar Ande
rights: Copyright (c) 2018 Ferdouse Ara Tuli, Aleena Varghese, Janaki Rama Phanendra Kumar Ande https://creativecommons.org/licenses/by-nc/4.0
date: 2018-12-31
publication date: 2018-12-31
starting page: 109
ending page: 122
doi: 10.18034/gdeb.v7i2.724

Crisis Management in South East Asia's Tourism Industry: Resilience and Adaptation Strategies
type: item
description: Crisis management in Southeast Asia's tourism industry is imperative due to the region's vulnerability to various crises, including natural disasters, health emergencies, political unrest, and economic downturns. This study investigates resilience and adaptation strategies employed by stakeholders to mitigate the impacts of crises and promote sustainable tourism development. The study's objectives include analyzing crisis types, stakeholder roles, and the effectiveness of strategies. Employing a secondary data-based review approach, the study synthesizes existing literature to identify critical insights. Significant findings highlight the importance of collaboration, innovation, sustainability, and adaptability in crisis management. Policy implications emphasize the need for proactive planning, stakeholder engagement, sustainable practices, and capacity building. The study underscores the importance of addressing limitations and contextual factors to enhance the resilience and adaptive capacity of Southeast Asia's tourism industry in navigating crises and promoting long-term sustainability.
subject: Articles
  topic: section
subject: Crisis Management
  topic: keywords
subject: South East Asia
  topic: keywords
subject: Tourism Industry
  topic: keywords
subject: Resilience
  topic: keywords
subject: Adaptation Strategies
  topic: keywords
subject: Risk Mitigation
  topic: keywords
subject: Destination Recovery
  topic: keywords
subject: Stakeholder Engagement
  topic: keywords
subject: Economic Impact
  topic: keywords
subject: Sustainable Tourism
  topic: keywords
creator: Ferdouse Ara Tuli
creator: Vishal Reddy Vadiyala
rights: Copyright (c) 2022 Ferdouse Ara Tuli, Vishal Reddy Vadiyala https://creativecommons.org/licenses/by-nc/4.0
date: 2022-12-31
publication date: 2022-12-31
starting page: 87
ending page: 102
doi: 10.18034/gdeb.v11i2.717

Revolutionizing Customer Experience through Innovative Digital Marketing Approaches
type: item
description: This study explores the transformative impact of innovative digital marketing approaches on revolutionizing customer experience in the contemporary business landscape. The study's main objectives are to examine the role of personalization, immersive technologies, and omnichannel integration in enhancing customer engagement and satisfaction, analyze the effectiveness of measurement and analytics in evaluating digital marketing initiatives' impact, and identify critical policy implications for businesses and policymakers. Utilizing a secondary data-based review approach, this study synthesizes insights from peer-reviewed academic journals, industry reports, and case studies to investigate emerging trends and best practices in digital marketing. Significant findings include the paramount importance of personalization in driving customer engagement, the considerable role of immersive technologies in creating memorable brand experiences, and the critical need for omnichannel integration to deliver seamless and cohesive customer experiences. Policy implications highlight the importance of privacy and data protection, digital inclusion, transparency in personalization efforts, and standardized measurement frameworks. Overall, this study underscores the transformative potential of innovative digital marketing approaches in shaping the future of customer experience.
subject: Articles
  topic: section
subject: Digital Marketing
  topic: keywords
subject: Revolutionizing
  topic: keywords
subject: Innovative Approaches
  topic: keywords
subject: Customer Engagement
  topic: keywords
subject: Digital Transformation
  topic: keywords
subject: Marketing Strategies
  topic: keywords
subject: Technological Advancements
  topic: keywords
subject: User-Centric Platforms
  topic: keywords
creator: Parikshith Reddy Baddam
rights: Copyright (c) 2022 Parikshith Reddy Baddam https://creativecommons.org/licenses/by-nc/4.0
date: 2022-12-31
publication date: 2022-12-31
starting page: 71
ending page: 86
doi: 10.18034/gdeb.v11i2.716

Community Engagement in Southeast Asia's Tourism Industry: Empowering Local Economies
type: item
description: Community engagement is increasingly recognized as a crucial component of sustainable tourism development in Southeast Asia. This study examines the role of community engagement in empowering local economies within the region's tourism industry. The main objectives were to analyze current community engagement practices, assess their impacts on regional economies, and identify challenges and opportunities for sustainable development. A secondary data-based review approach was employed, drawing from academic journals, reports, and government publications. Significant findings reveal that community-based tourism initiatives drive economic empowerment and foster cultural preservation and social cohesion. However, challenges such as power imbalances and environmental degradation persist. Policy implications underscore the need to strengthen community engagement mechanisms, promote sustainable tourism practices, support local entrepreneurship, and foster partnerships and alliances among stakeholders. By addressing these challenges and implementing appropriate policies, Southeast Asia can create more inclusive, resilient, and sustainable tourism destinations that benefit communities and visitors.
subject: Articles
  topic: section
subject: Community Engagement
  topic: keywords
subject: South East Asia
  topic: keywords
subject: Tourism Industry
  topic: keywords
subject: Local Economies
  topic: keywords
subject: Empowerment
  topic: keywords
subject: Sustainable Tourism
  topic: keywords
subject: Stakeholder Participation
  topic: keywords
subject: Cultural Preservation
  topic: keywords
subject: Economic Development
  topic: keywords
creator: Shati Sarmin Rahman
creator: Parikshith Reddy Baddam
rights: Copyright (c) 2021 Shati Sarmin Rahman, Parikshith Reddy Baddam https://creativecommons.org/licenses/by-nc/4.0
date: 2021-07-27
publication date: 2021-07-27
starting page: 75
ending page: 90
doi: 10.18034/gdeb.v10i2.715

Evolution of Smart Farming: Integrating IoT and AI in Agricultural Engineering
type: item
description: Smart farming, a confluence of the Internet of Things (IoT) and Artificial Intelligence (AI), is changing agriculture by infusing it with unrivaled levels of precision and sustainability. This is happening as a result of the convergence of these two technologies. IoT sensors methodically collect real-time data from the soil, weather, and livestock, and AI algorithms decipher this information to deliver practical insights into this technological symphony. This article captures the essence of smart farming, a transformative method that maximizes the use of resources, improves efficiency, and secures a resilient future for agriculture. Come with us as we travel where technology and the earth meet to create a more sustainable era in the age-old art of farming.
subject: Articles
  topic: section
subject: Smart Farming, Internet of Things (IoT)
  topic: keywords
subject: Artificial Intelligence (AI)
  topic: keywords
subject: Agricultural Engineering
  topic: keywords
subject: Crop Monitoring
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Machine Learning
  topic: keywords
creator: Mounika Mandapuram
creator: Ravikiran Mahadasa
creator: Pavani Surarapu
rights: Copyright (c) 2019 Mounika Mandapuram, Ravikiran Mahadasa, Pavani Surarapu https://creativecommons.org/licenses/by-nc/4.0
date: 2019-12-31
publication date: 2019-12-31
starting page: 165
ending page: 178
doi: 10.18034/gdeb.v8i2.714

Unraveling Java's Prowess and Adaptable Architecture in Modern Software Development
type: item
description: This research delves into the multifaceted landscape of the Java programming language, elucidating its fundamental strengths and adaptive architecture that have dominated the software development realm for nearly two decades. The study meticulously explores the objectives of deciphering Java's platform independence, leveraging its object-oriented paradigm, and evaluating its expansive ecosystem. By examining the findings related to Java's role in cross-platform development, web and mobile application development, enterprise software, and the Internet of Things (IoT), this research sheds light on the language's unparalleled versatility. The author's contribution lies in synthesizing a comprehensive overview of Java's features, from its robust security measures to its extensive standard library. This research underscores Java's pivotal role in shaping the ever-evolving landscape of software development and concludes with implications for future advancements in the field.
subject: Articles
  topic: section
subject: Java Programming Language
  topic: keywords
subject: Java Virtual Machine (JVM)
  topic: keywords
subject: Object-Oriented Programming (OOP)
  topic: keywords
subject: Security
  topic: keywords
subject: Cross-Platform Development
  topic: keywords
subject: Application Development
  topic: keywords
subject: Java Features
  topic: keywords
creator: Parikshith Reddy Baddam
creator: Vishal Reddy Vadiyala
creator: Upendar Rao Thaduri
rights: Copyright (c) 2018 Parikshith Reddy Baddam, Vishal Reddy Vadiyala, Upendar Rao Thaduri https://creativecommons.org/licenses/by-nc/4.0
date: 2018-12-31
publication date: 2018-12-31
starting page: 97
ending page: 108
doi: 10.18034/gdeb.v7i2.710

Navigating the Landscape of Mobile Banking in Bangladesh: A Critical Examination of Challenges and Opportunities
type: item
description: Mobile Banking is an emerging alternate channel for providing banking services. The primary purpose of this study is to identify the problems of mobile banking and the benefits of mobile banking users in Bangladesh. For the research, both primary and secondary data were used. The total sample consisted of 158 respondents (male 69% and female 31%), and a semi-structured close-ended questionnaire was used. This study adopts a descriptive. Besides, we used the Likert Scale to range the satisfaction and dissatisfaction levels. A frequency test was done to measure the result, and then a graph was used to represent and show the findings efficiently. Statistical software SPSS version 16.0 was used to analyze data. The most significant result shows that 59.5 % of respondents face security and safety risks, and 46.8 % think mobile banking is a quick customer service and time-saving transaction system. So, to run the mobile banking service effectively and efficiently, proper care has been taken, and necessary steps to improve the quality of services.
subject: Articles
  topic: section
subject: Mobile Banking
  topic: keywords
subject: Likert Scale
  topic: keywords
subject: Frequency Test
  topic: keywords
subject: Bangladesh
  topic: keywords
creator: B. M. Sajedul Karim
creator: Md. Rashed Billah
creator: Most. Tania Khatun
creator: Nurunnahar
creator: Md. Afsarul Islam
creator: Md. Mostafijur Rahman
rights: Copyright (c) 2023 B. M. Sajedul Karim, Md. Rashed Billah, Most. Tania Khatun, Nurunnahar, Md. Afsarul Islam, Md. Mostafijur Rahman https://creativecommons.org/licenses/by-nc/4.0
date: 2023-06-30
publication date: 2023-06-30
starting page: 25
ending page: 40
doi: 10.18034/gdeb.v12i1.708

Digitization History and its Impact on the Economy, Employment, and Society
type: item
description: The rapid Digitization of the global economy has ushered in a transformative era, leaving a profound impact on various facets of society. This article delves into the history of Digitization, tracing its roots from the emergence of computers to the Internet age. It explores how this digital revolution has increased economic productivity and efficiency, creating new opportunities for businesses and individuals. However, it has also raised concerns about job displacement and the digital divide. Ultimately, the article highlights the imperative for policymakers to balance technological advancement and inclusive economic growth to ensure a prosperous and equitable future.
subject: Articles
  topic: section
subject: Digitization
  topic: keywords
subject: History
  topic: keywords
subject: Economic Impact
  topic: keywords
subject: Society
  topic: keywords
subject: Employment
  topic: keywords
creator: Raihana Sadia
creator: Ferdouse Ara Tuli
creator: Karu Lal
rights: Copyright (c) 2023 Raihana Sadia, Ferdouse Ara Tuli, Karu Lal https://creativecommons.org/licenses/by-nc/4.0
date: 2023-06-30
publication date: 2023-06-30
starting page: 15
ending page: 24
doi: 10.18034/gdeb.v12i1.707

Business Security Threat Overview Using IT and Business Intelligence
type: item
description: Through a critical reflection on how information systems (IS) are currently defined in the IS literature, this study aims to contribute to a more profound knowledge of information systems (IS). The research identifies a number of definitions of IS that may be found in the literature by employing the hermeneutic method for literature reviews. The examination of these definitions allows for the differentiation of four distinct perspectives on information systems (IS): a technology view, which emphasizes the technological aspects of IS; a social theory, which highlights the sociocultural factors of IS; a socio-technical view, which emphasizes the interconnection of technology and social elements; and a process view, which emphasizes the activity orientation of IS. This study critically examines the many methods of understanding and conceptualizing information systems and explores their contributions and limits. Based on this examination, the paper argues for developing an alternative socio-material understanding of IS based on a non-dualist, relational ontology.
subject: Articles
  topic: section
subject: Information Systems
  topic: keywords
subject: Management Strategy
  topic: keywords
subject: Business Intelligence
  topic: keywords
subject: Database Infrastructure
  topic: keywords
subject: Security Threats
  topic: keywords
creator: Upendar Rao Thaduri
rights: Copyright (c) 2017 Upendar Rao Thaduri https://creativecommons.org/licenses/by-nc/4.0
date: 2017-12-31
publication date: 2017-12-31
starting page: 123
ending page: 132
doi: 10.18034/gdeb.v6i2.703

Business Value of Digitization: Curse or Blessing?
type: item
description: Converting something from analog to digital form is called "digitization." Another name for this process is "digital enablement." To phrase it another way, digitization is converting an analog process into a digital form without making any changes to the analog process itself that are distinct. The research presents a concise history of digitization on a global scale, focusing on its influence on business research, the difficulties associated with assuring digital service quality, the contribution of digital transformation and mobilization to the scientific and business world, and evidence of the increasing importance placed on digital transformation.
subject: Articles
  topic: section
subject: Digitization
  topic: keywords
subject: Digital Transformation
  topic: keywords
subject: Business Value
  topic: keywords
creator: Sreekanth Dekkati
creator: Upendar Rao Thaduri
creator: Karu Lal
rights: Copyright (c) 2016 Sreekanth Dekkati, Upendar Rao Thaduri, Karu Lal https://creativecommons.org/licenses/by-nc/4.0
date: 2016-12-31
publication date: 2016-12-31
starting page: 133
ending page: 138
doi: 10.18034/gdeb.v5i2.702

Relational Database Management Systems in Business and Organization Strategies
type: item
description: A collection of interconnected, raw data is a database management system. This collection also includes programs or instructions that may be used to access the data. The enormous collection of data is typically referred to as a Database and contains information necessary to access the data. Providing a method to store and retrieve information held in the database is the management system's primary objective. The database makes it possible to store information more conveniently and efficiently. This article discusses the application used in database management systems and how the data in the application are associated by describing the backdrop of DBMS. This paper also discusses the application that is used in database management systems.
subject: Articles
  topic: section
subject: Variation
  topic: keywords
subject: Relational Database
  topic: keywords
subject: Database Management Systems
  topic: keywords
subject: Organization Strategies
  topic: keywords
creator: Harshith Desamsetti
rights: Copyright (c) 2020 Harshith Desamsetti https://creativecommons.org/licenses/by-nc/4.0
date: 2020-12-31
publication date: 2020-12-31
starting page: 151
ending page: 162
doi: 10.18034/gdeb.v9i2.700