A systematic review of machine learning applications in sustainable supplier selection

Decision Analytics Journal, Год журнала: 2025, Номер unknown, С. 100547 - 100547

Опубликована: Янв. 1, 2025

Язык: Английский

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The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA)

Cogent Business & Management, Год журнала: 2025, Номер 12(1)

Опубликована: Апрель 7, 2025

Язык: Английский

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The effect of innovation and sustainability ethics on reputation: a moderating role of social media

Social Responsibility Journal, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Purpose This study aims to examine the role of innovation and sustainability ethics on an organization’s reputation, explore how can mediate relationship between reputation. It also seeks determine whether social media strengthens this relationship. Design/methodology/approach A cross-sectional technique was used analyze 96 validated questionnaires. Data were collected from CEOs manufacturing organizations using a simple random probability technique. Partial least squares structural equation modeling statistical methods applied data. Findings The found that plays mediating Furthermore, it observed has positive effect ethics, which in turn significant impact In addition, noted moderates these relationships. Research limitations/implications Despite its contributions, paper several limitations. focuses solely sector; future research could other sectors, such as services or finance, may have distinct characteristics. proposes single independent variable; studies incorporate additional variables, cultural factors government support, provide broader understanding dynamics involved. sample consists CEOs, responses be biased. Future consider including employees respondents offer more holistic perspective. Practical implications deepens our outcomes highlights crucial shaping advises owners reconsider their approach innovation, impacts Cultivating innovative culture influences think creatively share new ideas. Organizations should hire skilled workers them marketing courses. is recommended leaders engage closely with clients suppliers, encouraging communication through for valuable feedback. integration ethical considerations into ensures businesses contribute positively society environment. dimension essential enterprises aiming meet societal expectations. Originality/value contributes signaling theory by extending domain providing empirical evidence respect sustainability, media, not been examined comprehensively.

Язык: Английский

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Developing innovative software solutions for effective energy management systems in industry

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(8), С. 2649 - 2669

Опубликована: Авг. 31, 2024

The increasing demand for energy efficiency and sustainability in the industrial sector has spurred development of innovative software solutions effective management systems (EMS). This review explores key advancements applications these enhancing practices. Modern EMS leverages cutting-edge technologies such as artificial intelligence (AI), machine learning, Internet Things (IoT) to optimize consumption, reduce operational costs, minimize environmental impact. By integrating real-time data from various sensors devices, provide comprehensive insights into usage patterns, enabling industries identify inefficiencies implement corrective measures promptly. AI-driven predictive analytics play a crucial role forecasting optimizing distribution across processes. Machine learning algorithms analyze historical predict peak periods, allowing proactive load reducing risk wastage. Additionally, IoT-enabled devices facilitate seamless communication between different components infrastructure, ensuring accurate collection monitoring. One significant innovation is user-friendly interfaces dashboards that present complex an accessible format. These enable facility managers operators make informed decisions quickly, their ability manage consumption efficiently. Moreover, advanced offer automated control features adjust dynamically based on predefined parameters conditions, further streamlining Case studies industries, manufacturing, logistics, centers, demonstrate tangible benefits implementing software. include reductions improved regulatory compliance, enhanced performance. For instance, manufacturing plant utilizing AI-powered reported 15% decrease within first year implementation, highlighting potential substantial savings. In conclusion, developing aiming achieve goals. harnessing power AI, IoT, actionable insights, automate control, promote sustainable Continued research this field will enhance capabilities software, driving progress toward more energy-efficient sector. Keywords: Industry, Software Solutions, Innovative, Effective, Energy Management System.

Язык: Английский

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Advancements in predictive modeling for insurance pricing: Enhancing risk assessment and customer segmentation

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(8), С. 2835 - 2848

Опубликована: Авг. 30, 2024

This review paper explores the significant advancements in predictive modeling for insurance pricing, emphasizing its role enhancing risk assessment and customer segmentation. The begins with an overview of evolution industry, tracing shift from traditional methods to modern, data-driven approaches powered by machine learning, artificial intelligence (AI), big data. It highlights how these have improved accuracy assessment, enabling insurers develop more precise pricing strategies. also discusses importance segmentation personalization showcasing advanced analytics can lead tailored fair premiums, thereby improving satisfaction retention. Additionally, addresses challenges implementing models, including technological integration, ethical concerns, regulatory compliance. concludes identifying future trends potential areas further research, such as real-time data, explainable AI, AI practices, which are expected shape industry. Keywords: Predictive Modeling, Insurance Pricing, Risk Assessment, Customer Segmentation, Machine Learning.

Язык: Английский

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Proactive cyber threat mitigation: Integrating data-driven insights with user-centric security protocols

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 2083 - 2106

Опубликована: Авг. 31, 2024

In the rapidly evolving cybersecurity landscape, proactive threat mitigation has become essential for protecting sensitive data and systems from increasingly sophisticated attacks. The paper explores a holistic approach to enhancing by merging data-driven insights with user-centric security practices. This study highlights limitations of traditional reactive measures advocates shift towards strategy that anticipates addresses potential threats before they materialize. research emphasizes importance leveraging analytics gain actionable into vulnerabilities emerging threats. By analyzing large datasets network traffic, user behavior, historical incidents, organizations can identify patterns anomalies signal risks. These enable development more effective detection predictive models enhance an organization’s ability respond swiftly cyber addition analytics, underscores significance integrating protocols. Traditional often overlook human element, which be critical factor in both efficacy overall risk profile. User-centric protocols focus on awareness, implementing tailored training, promoting best practices cybersecurity. ensures are not only technologically sound but also aligned behavior needs, reducing error improving posture. discusses practical implementation strategies combining protocols, including use advanced tools, continuous education, adaptive frameworks. Case studies demonstrate benefits this integrated approach, such as improved rates, reduced incident response times, enhanced resilience. conclusion, presents comprehensive framework mitigation, emphasizing synergy between robust safeguarding against modern Keywords: Cyber Threat, Proactive, Data-Driven, User-Centric, Security Protocols

Язык: Английский

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Digital Transformation in School Education

Practice, progress, and proficiency in sustainability, Год журнала: 2024, Номер unknown, С. 39 - 58

Опубликована: Ноя. 1, 2024

In today's era, school education has seen a massive transformation due to digitalization, which changed how schools learn, administer, and engage. However, this shift amplifies the teacher-student relationship entirely changes educational institutions market their business by reshaping current system. Also, machine learning helps optimize these strategies analyzing interpreting very large datasets predict trends, customize marketing campaigns, individualize student engagement, more. By generating ML-driven insights, all can spot ideal students, analyze requirements, provide tailor-made offerings. Thus, reductive analytics monitor success metrics of streamline communication, increase enrollment rates. It also provides insights into preferences, making promotion more efficient. AI potential help align with tech-native generation develop sustainable practices in future.

Язык: Английский

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Leveraging Big Data analytics for enhanced market analysis and competitive strategy in the oil and gas industry

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(8), С. 2849 - 2865

Опубликована: Авг. 30, 2024

This paper investigates the pivotal role of big data analytics in revolutionizing market analysis and competitive strategy within oil gas industry. As industry faces increasing complexity volatility, integrating advanced tools, including artificial intelligence (AI) machine learning (ML), enables companies to make more informed, data-driven decisions. These technologies enhance predictive capabilities, allowing for accurate forecasting trends demand while supporting development adaptive strategies that respond real time fluctuations. The also explores challenges implementing analytics, such as security concerns, integration with legacy systems, growing a skilled workforce. Ethical considerations regulatory compliance are addressed, emphasizing need transparent responsible practices. Strategic recommendations provided help maximize benefits data, investing robust infrastructure, fostering organizational culture, forming strategic partnerships technology providers. By adopting these strategies, can operational efficiency, mitigate risks, maintain edge rapidly evolving industry.. Keywords: Big Data Analytics, Oil Gas Industry, Competitive Strategy, Artificial Intelligence, Market Analysis.

Язык: Английский

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Developing crossplatform software applications to enhance compatibility across devices and systems

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 2040 - 2061

Опубликована: Авг. 31, 2024

In an increasingly interconnected world, the need for software applications that function seamlessly across diverse devices and operating systems is paramount. Developing crossplatform addresses this by providing a unified user experience operational efficiency regardless of hardware or system being used. This approach eliminates multiple versions same application, streamlining development reducing costs while improving accessibility consistency. Crossplatform involves creating compatible with various such as Windows, macOS, iOS, Android, well different device types including desktops, tablets, smartphones. Key methodologies in domain include use frameworks tools React Native, Flutter, Xamarin, which allow developers to write code once deploy it platforms. These offer range features enhance interfaces, manage resources efficiently, ensure robust performance devices. The benefits are manifold. They provide consistent experience, application behaves similarly devices, enhancing usability customer satisfaction. Additionally, they simplify maintenance updates, changes only be implemented rather than codebases. also accelerates timetomarket leveraging shared codebases, thereby enabling faster cycles quicker deployment. However, developing presents challenges. Ensuring functionality can complex, requiring careful design testing. Developers must navigate varying capabilities interface guidelines Despite these challenges, advances continue improve effectiveness solutions. conclusion, represents strategic compatibility systems. By modern tools, organizations deliver cohesive, highquality meet needs base optimizing costs. Keywords: : Developing, CrossPlatform, Software Applications, Compatibility, Devices.

Язык: Английский

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From Virality to Engagement: Examining the Transformative Impact of Social Media, Short Video Platforms, and Live Streaming on Information Dissemination and Audience Behavior in the Digital Age

Advances in Social Behavior Research, Год журнала: 2024, Номер 14(1), С. 10 - 14

Опубликована: Дек. 12, 2024

The digital world has changed the way we share and consume information through adoption of social media, short-form video live streaming. These tools how virality works, audiences act content gets created. This article takes a closer look at dynamics virality, algorithms crowdsourcing facilitate quick sharing while driving development misinformation echo chambers. Likewise, it explores users interact with rather than it, engagement metrics, gamification interactivity. paper also is personalized, storyboarded, made in creator economy, creators must strike fine line between authenticity algorithmic needs. In looking them, this gives general outline dramatic changes technologies will bring to communication culture, what ethical questions they raise. Future research should explore trends such as decentralized platforms AI strategies.

Язык: Английский

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