THEORETICAL FRAMEWORKS SUPPORTING IT AND BUSINESS STRATEGY ALIGNMENT FOR SUSTAINED COMPETITIVE ADVANTAGE

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(4), P. 1273 - 1287

Published: April 25, 2024

In today's dynamic business environment, the alignment between information technology (IT) and strategy is critical for organizations seeking sustained competitive advantage. This paper presents a comprehensive examination of theoretical frameworks supporting this alignment, aiming to provide insights into how can effectively integrate IT capabilities with strategic objectives. The foundations explored include Resource-Based View (RBV), which emphasizes leveraging unique resources achieve Additionally, Dynamic Capabilities Framework underscores importance an organization's ability adapt innovate in response changing market conditions, highlighting role facilitating agility flexibility. Strategic Alignment Model offers structured approach ensuring coherence strategy, organizational infrastructure, enabling seamless integration alignment. Value Chain Analysis provides framework understanding add value across different stages chain, informing decision-making resource allocation. Moreover, Governance Frameworks, such as COBIT ITIL, offer guidelines effective management governance support Business Process Reengineering (BPR) also examined methodology redesigning processes align goals leverage capabilities. Through exploration these frameworks, aims equip knowledge tools necessary advantage through strategies. Keywords: Theoretical IT, Strategy Alignment, Sustained Competitive Advantage.

Language: Английский

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ECONOMIC THEORY AND PRACTICAL IMPACTS OF DIGITAL TRANSFORMATION IN SUPPLY CHAIN OPTIMIZATION

International Journal of Advanced Economics, Journal Year: 2024, Volume and Issue: 6(4), P. 95 - 107

Published: April 26, 2024

Digital transformation has emerged as a critical driver of innovation and efficiency in supply chain management, reshaping traditional economic paradigms yielding profound practical implications. This paper delves into the theory underpinning digital optimization explores its impacts on businesses industries. In terms theory, we examine evolution from models to digitally-enabled ecosystems. The integration technologies such big data analytics, artificial intelligence, blockchain revolutionizes dynamics, enhancing efficiency, reducing costs, mitigating risks. Drawing game applications, elucidate strategic interactions among stakeholders implications their decision-making processes. Turning impacts, investigate how enables enhanced visibility, real-time tracking, predictive fostering agility responsiveness operations. Automation AI-driven insights empower decision-makers optimize resource allocation mitigate disruptions effectively. Through case studies, illustrate tangible benefits advantages accrued by organizations embracing transformation. However, this is not devoid challenges. Cybersecurity threats, privacy concerns, complexities legacy systems pose significant hurdles. Addressing these challenges necessitates holistic approach encompassing technological innovation, regulatory frameworks, workforce development. Looking ahead, future trends integration, IoT sustainability initiatives promise further advancements optimization. underscores imperative for ongoing research adaptation harness full potential management. Keywords: Economic Theory, Practical Impacts, Transformation, Supply Chain Optimization.

Language: Английский

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CONCEPTUALIZING COMMUNICATION EFFICIENCY IN ENERGY SECTOR PROJECT MANAGEMENT: THE ROLE OF DIGITAL TOOLS AND AGILE PRACTICES

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(4), P. 1487 - 1501

Published: April 26, 2024

This conceptual paper explores how digital tools and agile practices can enhance communication efficiency in energy sector project management. It posits that the integration of technology such as management software, real-time data sharing platforms, methodologies significantly streamline communication, ensuring more responsive adaptable The develops a framework outlines interactions between these technologies practices, suggesting pathways for implementation potential impacts on success. will use analysis approach, drawing existing theories models from fields information technology, methodologies, build foundations to propose novel framework, illustrated with hypothetical scenarios outcomes. is designed contribute academic discussion by not only reviewing knowledge but also proposing new frameworks guide future research practice projects, particularly focusing critical aspect communication. Keywords: Communication Efficiency, Energy Sector, Project Management, Digital Tools, Agile Practices.

Language: Английский

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Evolution of Research Reporting Standards: Adapting to the Influence of Artificial Intelligence, Statistics Software, and Writing Tools

Journal of Korean Medical Science, Journal Year: 2024, Volume and Issue: 39(32)

Published: Jan. 1, 2024

Reporting standards are essential to health research as they improve accuracy and transparency. Over time, significant changes have occurred the requirements for reporting ensure comprehensive transparent across a range of study domains foster methodological rigor. The establishment Declaration Helsinki, Consolidated Standards Trials (CONSORT), Strengthening Observational Studies in Epidemiology (STROBE), Preferred Items Systematic Reviews Meta-Analysis (PRISMA) just few historic initiatives that increased Through enhanced discoverability, statistical analysis facilitation, article quality enhancement, language barrier reduction, artificial intelligence (AI)-in particular, large models like ChatGPT-has transformed academic writing. However, problems with errors could occur need transparency while utilizing AI tools still exist. Modifying rules include AI-driven writing such ChatGPT is ethically practically challenging. In writing, precautions truth, privacy, responsibility necessary due concerns about biases, openness, data limits, potential legal ramifications. CONSORT-AI Standard Protocol Items: Recommendations Interventional (SPIRIT)-AI Steering Group expands CONSORT guidelines clinical trials-new checklists METRICS CLEAR help promote studies. Responsible usage technology software adoption requires interdisciplinary collaboration ethical assessment. This explores impact technologies, specifically ChatGPT, on past revised open, reproducible, robust scientific publications.

Language: Английский

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Integrating accounting fintech innovations in the U. S. healthcare sector: opportunities, challenges, and impacts on financial management and patient care

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 22(1), P. 1221 - 1233

Published: April 26, 2024

Integrating accounting fintech innovations in the U.S. healthcare sector presents significant opportunities for enhancing financial management and patient care. This paper examines current landscape of solutions healthcare, highlighting key opportunities, challenges, impacts on The industry is increasingly adopting to streamline processes, improve efficiency, enhance Accounting such as automated billing payment systems, blockchain technology secure transactions, predictive analytics forecasting are revolutionizing practices organizations. However, integrating also several challenges. These include concerns about data security privacy, need regulatory compliance, potential disruption traditional practices. Addressing these challenges will be crucial realizing full healthcare. impact significant. Improved can lead cost savings, increased revenue, better resource allocation, ultimately benefiting both organizations patients. Additionally, enhanced transparency efficiency improved care outcomes experiences. In conclusion, offers numerous improving this integration that must addressed realize benefits fully. By overcoming leveraging fintech, their provide

Language: Английский

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Data-Driven Decision-Making: Accurate Customer Churn Prediction with Cat-Boost

Deleted Journal, Journal Year: 2024, Volume and Issue: 4(02)

Published: June 7, 2024

In the cutthroat telecommunications industry, customer churn poses a significant threat to profitability and brand reputation. To combat this, we propose data-driven approach predict churn, leveraging advanced Machine Learning (ML) algorithms on comprehensive dataset of 7043 records with 21 features sourced from IEEE website. By applying one-hot encoding transform categorical data, optimize ML algorithm performance. Our study pits three against each other: Cat Boost, Stochastic Gradient Extreme Boost. The results are striking, Boost incipient as top performer, boasting an impressive 94% accuracy, 90% precision, 97% recall, F1-score, AUC 0.94. These discoveries emphasize Boost's extraordinary ability empowering telecom companies proactively prevent attrition, target high-risk customers, make decisions most profits. today's speedily developing technical landscape, correctly predicting is critical meeting ever-changing potential customers. research marks noteworthy innovation in addressing trials, flooring way for long-term accomplishment industry.

Language: Английский

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The Expected Contribution of Artificial Intelligence (AI) Adoption in Supply Chain Management

American Journal of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 8(2), P. 63 - 67

Published: Nov. 29, 2024

In today's rapidly evolving economy, the adoption of artificial intelligence (AI) within supply chain management (SCM) has emerged as a key area study. The integration AI technologies into SCM systems presents transformative opportunity for organizations seeking to enhance operational efficiency, reduce costs, and establish competitive advantage in dynamic market. technologies—ranging from machine learning algorithms predictive analytics—serve pivotal tools addressing these challenges. By automating routine tasks, forecasting demand with greater accuracy, facilitating real-time decision-making, enhances responsiveness agility chains. economic benefits incorporating frameworks are substantial. Implementing AI-driven solutions can lead significant cost savings through improved inventory management, reduced waste, enhanced resource allocation. For instance, models predict stock requirements more accurately, minimizing excessive associated holding costs. Additionally, supplier relationship by analyzing vendor performance data, leading informed selection processes negotiation strategies. As field continues evolve, it is crucial professionals engage emerging technologies, ensuring that they remain responsive demands an ever-changing market landscape. This study reviews literature determine why needs adopt terms integrative tactical planning, utilization reduction, risk data management. aim this was encourage investigate possibilities technology several elements chain.

Language: Английский

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Sustainable materials for corrosion-resistant energy harvesting: a conceptual framework for innovations in biodegradable solutions for nuclear applications

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(10), P. 2911 - 2933

Published: Oct. 16, 2024

The demand for sustainable materials in energy harvesting technologies has led to significant advancements, particularly the development of biodegradable solutions nuclear applications. This conceptual framework explores innovations corrosion-resistant that combine sustainability with enhanced performance systems. integration into applications presents an opportunity reduce environmental impact while maintaining efficiency and safety standards harsh conditions. review focuses on dual challenge corrosion resistance biodegradability, which are critical long-term operation environments. Traditional used reactors, such as stainless steels superalloys, often struggle disposal issues. By contrast, offer potential these challenges, recent providing sufficient radiation corrosive investigates properties polymers, composites, coatings have been adapted A central theme this is application nanostructured hybrid designed withstand extreme conditions within reactors. These exhibit self-healing passivation capabilities, contributing their resistance. also discusses various strategies optimizing materials, including surface treatments, alloying, coating techniques, enhance both durability. Moreover, highlights ongoing research bio-based scalability Although challenges remain ensuring consistent over extended periods, prospects integrating biodegradable, systems promising. In conclusion, outlines revolutionizing by addressing resistance, sustainability, material lifecycle management. Continued innovation field could transform technologies, driving shift toward greener, more systems.. Keywords: Sustainable Materials, Corrosion Resistance, Energy Harvesting, Biodegradable Solutions, Nuclear Applications, Nanostructured Bio-Based Composites.

Language: Английский

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Leveraging Machine Learning Models for Customer Churn Prediction in Telecommunications: Insights and Implications

VAWKUM Transactions on Computer Sciences, Journal Year: 2024, Volume and Issue: 12(2), P. 16 - 27

Published: Oct. 9, 2024

In the world of telecommunications businesses, customer turnover poses a significant hurdle that can impact profits and weaken loyalty over time. Our solution to this challenge involves method using Machine Learning (ML) tools predict churn, with precision. We work set 7In our research study we examined how well three different machine learning models performed. Random Forest (RF) Cat Boost (CB) K nearest neighbors (KNN). Out these tested model stood out for its performance achieving 99 percent accuracy precision along an 88 recall rate F1 score; additionally, it achieved AUC 0.99. These results clearly demonstrate model's ability, in identifying customers who are likely churn. The findings hold importance companies as they equipped valuable resource proactively tackle issues customize solutions retain key clients while boosting overall happiness levels increasingly competitive market landscape where keeping is crucial business success provides data supported roadmap continual expansion staying ahead telecom industry spotlighted abstract critical relevance churn prediction firms underscored by tangible advantages leveraging predicting By utilizing advanced technology, identify at-risk take targeted measures prevent them from leaving. This not only helps but also improves satisfaction. constantly evolving market, having access predictive analytics give edge ensure long-term industry.

Language: Английский

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