Turizmde Sosyal Medya Pazarlaması DOI Creative Commons
Nesrin M. Bahçelerli,

Furkan Tirali

Özgür Yayınları eBooks, Год журнала: 2024, Номер unknown

Опубликована: Дек. 24, 2024

Hizmet sektörü globalleşen dünyada misafir memnuniyeti, lokasyon, tarihsel kültürel değerler, yeme-içme gibi özellikleri ile rekabeti en fazla olan sektör haline gelmiştir. Bu araştırma, turizm sektöründe sosyal media pazarlamasının kullanımını ve önemini amaçlamaktadır. Hedef pazarlara, belirli bir segment gruba ulaşmak medya araçları çok daha kolay ulaşılabilirdir. Tüm bu sebeplerden dolayı medyaullanımı günümüzde önemlidir önemi artarak devam etmektedir. araştırma belilenen anahtar kelimelerkapsamında ilgili literatür irdelenmiştir. bağlamda turizmde sosyla pazarlamasnın misafirleirn karar alma süreçlerinde etkin rol oynadığı sonucuna varılmıştır.

Exploring Deep Computational Intelligence Approaches for Enhanced Predictive Modeling in Big Data Environments DOI Open Access
Madduri Venkateswarlu,

K. Thilagam,

R. Pushpavalli

и другие.

International Journal of Computational and Experimental Science and Engineering, Год журнала: 2024, Номер 10(4)

Опубликована: Ноя. 25, 2024

The rapid growth of big data has created a pressing need for advanced predictive modeling techniques that can efficiently extract meaningful insights from massive, complex datasets. This study explores deep computational intelligence approaches to enhance in environments, focusing on the integration learning, swarm intelligence, and hybrid optimization techniques. proposed framework employs Deep Neural Network (DNN) enhanced with Particle Swarm Optimization (PSO) Adaptive Gradient Descent (AGD) dynamic parameter tuning, leading improved learning efficiency accuracy. is evaluated real-world applications, including healthcare diagnostics, financial risk prediction, energy consumption forecasting. Experimental results demonstrate significant improvement model performance, an accuracy 97.8% precision 95.2% mean absolute percentage error (MAPE) 3.4% Additionally, approach achieves 35% reduction overhead compared traditional DNNs 28% convergence speed due optimization. work highlights potential integrating analytics achieve robust, scalable, efficient modeling. Future research will focus extending accommodate real-time streams exploring its applicability across other domains.

Язык: Английский

Процитировано

12

Probing the Effect of Business Intelligence on the Performance of Construction Projects Through the Mediating Variable of Project Quality Management DOI Creative Commons
Mahboobeh Golestanizadeh, Hadi Sarvari,

Amirhossein Parishani

и другие.

Buildings, Год журнала: 2025, Номер 15(4), С. 621 - 621

Опубликована: Фев. 17, 2025

Business intelligence is a new approach to helping project managers and personnel make correct, informed decisions through preparing series of analytical reports in management dashboard by analysing mining all the related data. This study aimed investigate effect business on performance construction projects Iran mediating variable quality management. In contrast prior research that has evaluated aforementioned variables isolation, current introduced comprehensive structural model interrelationships among intelligence, management, performance. employed descriptive–correlational methodology utilising equation modelling, involving sample 102 Iranian industry specialists recruited convenience sampling. Data were gathered using standardised questionnaires analysed with modelling (SEM) Smart-PLS regression analysis SPSS software. The SEM indicated significantly enhances (β = 0.534, p < 0.01) influences 0.743, positively affects 0.396, 0.01). Furthermore, exerts slight influence this relationship, indirect calculated at 0.295 direct assessed 0.534. revealed variable’s dimensions (technical managerial, financial economic, data information management) can predict performance, while technical managerial economic Implementing technologies decision-making for elevates study’s findings suggest should employ systems enhance

Язык: Английский

Процитировано

1

Enhancing Decentralized Decision-Making with Big Data and Blockchain Technology: A Comprehensive Review DOI Creative Commons
Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Constantinos Halkiopoulos

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(16), С. 7007 - 7007

Опубликована: Авг. 9, 2024

Big data and blockchain technology are coming together to revolutionize how decisions made in a decentralized way across various industries. This review looks at these technologies, along with distributed systems, can improve security, transparency, real-time processing, making decision-making more efficient informed. The integration enhances security unchangeable records, increases transparency traceability, supports analysis. However, there challenges overcome, including scalability, privacy, interoperability, regulatory compliance, high costs. By examining case studies such as Estonia’s healthcare system, IBM Walmart’s Food Trust, the Brooklyn Microgrid project, we explore practical applications benefits of combining big blockchain. Despite hurdles, finds that ongoing advancements innovative solutions technologies offer significant promise. They set drive adoption effectiveness decision-making, ultimately leading better efficiency outcomes multiple sectors.

Язык: Английский

Процитировано

7

The Implementation Strategy of Cost Control and the Construction of a Guarantee Model of Financial BPO in the Cloud Computing Environment DOI Open Access

Weigang Zhong,

Lihong Zhao,

Qiaomei Dou

и другие.

International Journal of Information System Modeling and Design, Год журнала: 2025, Номер 16(1), С. 1 - 21

Опубликована: Янв. 10, 2025

Cloud computing platform is a main direction of computer information technology development at present. In this paper, financial SMOTE algorithm, business process outsourcing, hardware, software, data and other resources such as integrated network storage infrastructure, resources, management platform, servers various service applications are adopted. According to the functions modes provided by commercial cloud computing, system architecture based on constructed. The proposed method can control cost 60%,Improve level efficiency enterprises in an all-round way, provide important decisions for enterprises' market operation, avoid operation risks time, more opportunities development.

Язык: Английский

Процитировано

0

Utilising Machine Learning to Optimise Financial Reporting and Compliance in Sap DOI Creative Commons

Poornachandar Pokala

Deleted Journal, Год журнала: 2025, Номер 51, С. 14 - 22

Опубликована: Янв. 30, 2025

The research investigates the role of machine learning in ensuring optimization financial reporting, compliance, and risk management within SAP systems. It looks at way enhances data categorization, predictive analytics, fraud detection for more accurate forecasting efficient operations. Machine analyzes vast amounts real time proactive insights, with a guarantee compliance ever-evolving regulations. study has also identified various advantages lessening errors, improving decision-making, strengthening overall integrity. This means use on systems pays off considerably while developing

Язык: Английский

Процитировано

0

AI-Driven Digital Transformation and Sustainable Logistics: Innovations in Global Supply Chain Management DOI Creative Commons

Ghazaleh Kermani Moghaddam,

Mostafa Karimzadeh

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Abstract The global supply chain has progressed beyond conventional logistics, incorporating digital technology, sustainability, and automation. It involves interrelated processes that convert raw resources into finished goods. rising complexity from cross-border legislation, currency volatility, evolving market demands requires decision-making driven by AI, Big Data, This study does a Systematic Literature Review of 65 journal papers (2010–2024) to analyze developments in logistics via innovation, sustainability. In contrast models characterized static decision-making, emerging frameworks integrate AI-driven optimization, blockchain transparency, real-time data for predictive forecasting. Furthermore, autonomous freight transportation, encompassing self-driving trucks, drone-assisted last-mile delivery, hyperloop cargo systems, is transforming logistics. Findings underscore significant transformations strategy, focusing on sustainable mobility, carbon footprint mitigation, integrated analysis delineates research deficiencies proposes avenues future investigation systems management.

Язык: Английский

Процитировано

0

Navigating Pharma 4.0 DOI Open Access
Inas Al Khatib, Mahmoud Awad, Abdulrahim Shamayleh

и другие.

International Journal of Service Science Management Engineering and Technology, Год журнала: 2025, Номер 15(1), С. 1 - 35

Опубликована: Март 12, 2025

This paper investigates real-time monitoring and alert systems to enhance pharmaceutical traceability patient safety, focusing on the impact of Internet Things, blockchain, machine learning. It also examines lack these in Middle East. Using Preferred Reporting Items for Systematic Reviews Meta-Analyses method, literature was reviewed across 63 academic journals analyze existing research systematically. Effective Pharma 4.0 is crucial safety product integrity, though gaps remain despite technological progress. Real-time are essential, with key challenges including integration, data standardization, compliance, cost-effectiveness. The study's insights valuable industry managers, practitioners, scholars traceability. builds work by addressing persistent emphasizing comprehensive approaches traceability, highlighting need improved technology healthcare systems.

Язык: Английский

Процитировано

0

Enhanced Bearing Health Indicator Extraction Using Slope Adaptive Signal Decomposition for Predictive Maintenance DOI Creative Commons
Dev Bhanushali, Pooja Kamat, Harsh S. Dhiman

и другие.

MethodsX, Год журнала: 2025, Номер unknown, С. 103310 - 103310

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Consumer Preferences and Supermarket Retail Dynamics DOI
Tareq N. Hashem

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2025, Номер unknown, С. 337 - 374

Опубликована: Янв. 17, 2025

it is seen that technology and innovation are two main factors, playing an important role in managing the challenges of consumer demand pattern context global market environment. From data privacy to individuality speed change, they reveal a universe opportunity waiting for business write new narrative customer experience. When corporations use applications gathered from world tech analyze, predict, respond demand, place themselves vanguard customer-oriented where only innovative wins

Язык: Английский

Процитировано

0

Mental Health and Moral Education in the Digital Age DOI Open Access
Dan Li

International Journal of Web-Based Learning and Teaching Technologies, Год журнала: 2025, Номер 20(1), С. 1 - 20

Опубликована: Янв. 23, 2025

The rapid integration of internet technology into higher education has transformed the learning landscape, presenting both opportunities and challenges. This study focuses on critical role moral in addressing college students' mental health needs within this digital context. exposure to diverse complex online content can significantly impact psychological well-being. Moral is highlighted as a fundamental facilitator for enhancing resilience emotional stability, equipping students with necessary skills navigate world. research aims assess current state education, identify key issues, forecast future trends, while also providing an analysis effective implementation. It seeks offer theoretical insights practical recommendations improve practices ultimately fostering well-rounded individuals prepared 21st-century

Язык: Английский

Процитировано

0