A conceptual framework for data-driven business optimization: Enhancing operational efficiency and strategic growth in U.S. small enterprises DOI Creative Commons

Enuma Ezeife,

May Equitozia Eyeregba,

Chukwunweike Mokogwu

et al.

Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 12(2), P. 182 - 197

Published: Nov. 30, 2024

Small enterprises play a vital role in the U.S. economy, yet many face significant challenges optimizing operations and achieving sustainable growth due to resource constraints market dynamics. This study proposes conceptual framework for data-driven business optimization, aimed at enhancing operational efficiency fostering strategic small enterprises. Leveraging advancements data analytics, integrates predictive modeling, real-time processing, machine learning algorithms enable informed decision-making proactive strategy formulation. The emphasizes three core components: · Data Acquisition Management, which involves collecting structured unstructured from internal external sources build robust repository; Analytics Insights Generation, utilizing advanced tools identify patterns, forecast trends, detect inefficiencies; Strategic Implementation, applying insights streamline workflows, reduce costs, capitalize on emerging opportunities. By aligning strategies with organizational goals, ensures systematic approach addressing unlocking new avenues. Furthermore, this explores of technologies, including artificial intelligence Internet Things (IoT) devices, scalability adaptability framework. It also examines adopting approaches, such as limited technological expertise privacy concerns, offering practical recommendations overcome these barriers. Case studies successful implementations diverse sectors—retail, manufacturing, services—highlight framework's potential deliver measurable outcomes, increased productivity, improved customer satisfaction, competitive advantage. research provides actionable into leveraging asset, innovation, resilience rapidly evolving landscape.

Language: Английский

Behavior and sustainability benefits of modular steel buildings DOI Creative Commons
Ahed Habib, Ausamah AL Houri, Bashar Alibrahim

et al.

International Journal of Sustainable Engineering, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 30, 2025

Language: Английский

Citations

1
Identifying and evaluating causes of waste effect in green building projects DOI Creative Commons
Usama Hamed Issa,

Ahmed Gamal AbdelHaffez,

Alaa Atif Abdel-Hafez

et al.

Journal of Engineering and Applied Science, Journal Year: 2025, Volume and Issue: 72(1)

Published: Jan. 22, 2025

Abstract Green building (GB) projects in the Middle East face several causes of waste that occur during design and construction stages. These affect objectives GB (economic, environmental, social). Therefore, this research aims to define evaluate effect these on projects. Forty-five are determined classified into five main groups as follows: (G01) green materials, (G02) design, (G03) sustainable site, (G04) technologies, (G05) stakeholders. Through field surveys, including semi-structured interviews brainstorming sessions, probability occurrence for each cause impact economic, social evaluated, well severity is based a combined impacts. The correlations among indices assessed, highest correlation observed between economic followed by objective. results show most significant has value “ Poor assessment site conditions before such topography, hydrology, climate, vegetation, soil .” Group 05 maximum number critical waste, which considered group, due its high values related all objectives. Results indicate objective affected one environmental

Language: Английский

Citations

0
Cellulose Paper Composition as a Key Factor in Eco‐Friendly Green Roof Tile Performance DOI Open Access
Yesmin Panecatl‐Bernal, Sergio Hernández, M. Chávez Portillo

et al.

ChemistrySelect, Journal Year: 2025, Volume and Issue: 10(13)

Published: March 28, 2025

Abstract This study explores the role of cellulose paper composition—comprising holocellulose, hemicellulose, cellulose, and lignin—on physical chemical properties eco‐friendly green roof tiles. The investigation focuses on key performance metrics including hardness, water absorption, flammability, thermal stability, overall composition. By incorporating recycled paper, these tiles not only contribute to reducing environmental waste but also support a circular economy in construction industry. results demonstrate that exhibit significant increase hardness (20 HCR units higher than commercial tiles), reduced absorption rate approximately 13%, good ignition resistance up 284 °C, enhancing their durability fire safety. Advanced analytical techniques, Scanning Electron Microscopy (SEM) Fourier Transform Infrared Spectroscopy (FTIR), confirm effective integration fibers within tile matrix, leading homogeneous distribution. Statistical analysis further validates sustainable outperform conventional materials areas. findings emphasize transformative potential composition creating sustainable, high‐performance roofing materials.

Language: Английский

Citations

0
IMPACT OF IMPLEMENTING GREEN ROOF AND GREEN FACADE ON EXISTING BUILDINGS DOI

Zainab Hamid Mohson,

Zeyad Ali Ismael

NED University Journal of Research, Journal Year: 2025, Volume and Issue: XXII(1-2), P. 45 - 63

Published: Feb. 23, 2025

This paper examines the impact of greening technology on traditional buildings, addressing lack understanding regarding its effects. Results show that enhances thermal comfort by lowering humidity and temperature. Humidity fell from forty-five percent to twenty-seven forty-eight thirty-three gradually after greening, while temperature decreased 32°C (90°F) 24°C (75°F) 33°C (91°F) 25°C (77°F). These changes highlight greening's potential as a long-term strategy improve climate comfort, offering more comfortable atmosphere in hot humid climates also reducing energy loss, improving quality life these locations.

Language: Английский

Citations

0
A Digital Transformation Framework for U.S. E-Commerce Supply Chains DOI Open Access

Oluwakemi Famoti,

Bamidele Michael Omowole,

Godwin Nzeako

et al.

International Journal of Scientific Research in Computer Science Engineering and Information Technology, Journal Year: 2025, Volume and Issue: 11(1), P. 1670 - 1701

Published: Feb. 7, 2025

The rapid advancement of digital technologies has transformed industries worldwide, with U.S. e-commerce supply chains being no exception. This concept paper presents a comprehensive framework for transformation within chains, aiming to enhance efficiency, resilience, and scalability in an increasingly competitive market. outlines the integration cutting-edge technologies, including artificial intelligence (AI), blockchain, Internet Things (IoT), big data analytics, optimize key chain operations such as inventory management, logistics, demand forecasting, customer service. identifies critical challenges face, fragmented systems, inefficiencies real-time decision-making, vulnerabilities external disruptions. To address these challenges, proposes phased approach transformation, prioritizing automation, integration, analytics. It emphasizes importance adopting cloud-based solutions enhanced collaboration between suppliers, distributors, retailers. In addition technological solutions, highlights role human capital driving successful calling upskilling reskilling initiatives prepare workforce data-driven technology-enabled environment. also considers regulatory cybersecurity aspects offering strategies ensuring compliance protecting sensitive from cyber threats. By implementing this framework, businesses can achieve higher levels operational reduced costs, improved satisfaction. serves roadmap companies navigate evolving landscape, ultimately positioning sustained growth advantage global

Language: Английский

Citations

0
A conceptual framework for data-driven business optimization: Enhancing operational efficiency and strategic growth in U.S. small enterprises DOI Creative Commons

Enuma Ezeife,

May Equitozia Eyeregba,

Chukwunweike Mokogwu

et al.

Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 12(2), P. 182 - 197

Published: Nov. 30, 2024

Small enterprises play a vital role in the U.S. economy, yet many face significant challenges optimizing operations and achieving sustainable growth due to resource constraints market dynamics. This study proposes conceptual framework for data-driven business optimization, aimed at enhancing operational efficiency fostering strategic small enterprises. Leveraging advancements data analytics, integrates predictive modeling, real-time processing, machine learning algorithms enable informed decision-making proactive strategy formulation. The emphasizes three core components: · Data Acquisition Management, which involves collecting structured unstructured from internal external sources build robust repository; Analytics Insights Generation, utilizing advanced tools identify patterns, forecast trends, detect inefficiencies; Strategic Implementation, applying insights streamline workflows, reduce costs, capitalize on emerging opportunities. By aligning strategies with organizational goals, ensures systematic approach addressing unlocking new avenues. Furthermore, this explores of technologies, including artificial intelligence Internet Things (IoT) devices, scalability adaptability framework. It also examines adopting approaches, such as limited technological expertise privacy concerns, offering practical recommendations overcome these barriers. Case studies successful implementations diverse sectors—retail, manufacturing, services—highlight framework's potential deliver measurable outcomes, increased productivity, improved customer satisfaction, competitive advantage. research provides actionable into leveraging asset, innovation, resilience rapidly evolving landscape.

Language: Английский

Citations

0