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

Oluwakemi Famoti,

Bamidele Michael Omowole,

Godwin Nzeako

и другие.

International Journal of Scientific Research in Computer Science Engineering and Information Technology, Год журнала: 2025, Номер 11(1), С. 1670 - 1701

Опубликована: Фев. 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

Язык: Английский

HR Analytics and the Employee Lifecycle: From Onboarding to Exit DOI

Priyanka Wandhe

SSRN Electronic Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Selection of artificial intelligence tool for blind assistance based on Dombi aggregation operators for intuitionistic linguistic decision-making problems DOI
Zeeshan Ali, Tapan Senapati, Sarbast Moslem

и другие.

International Journal of Systems Assurance Engineering and Management, Год журнала: 2025, Номер unknown

Опубликована: Март 12, 2025

Язык: Английский

Процитировано

0

The Impact of Data-Driven Decision-Making, Real-Time Analytics, and Ethical Data Practices on HR Performance and Employee Satisfaction DOI
Rami Hanandeh, Zeyad Alkhazali, Khaled M.K. Alhyasat

и другие.

Data & Metadata, Год журнала: 2025, Номер 4, С. 712 - 712

Опубликована: Апрель 5, 2025

Introduction: The importance of this study is to investigate decision-making by making decisions about data and real-time analytics practicing ethical on human resource performance employee satisfaction.Objective: was conducted at Zain Telecommunications Company Jordan through designing a questionnaire for segmentation research in the telecommunications exhibitions company 220 suitable samples were removed analyze structural equation modeling program method SEM.Method: diversity independent studies indicated contracts indicating it, so multiple choices used as evidence, workforce turnover forecasts, measures available indicate correct data. Its employees real time, tracking productivity dynamic workers, instant mechanisms analytics.Result: Transparency its use policies, implementation privacy standards, algorithmic fairness innovative processes practices. Through that distributed, these parties' improving resources satisfaction.Conclusion: His have concluded integrating his three main areas accurate decision research, analysis practice creative significantly improves HR outcomes he chooses from satisfaction choosing specialty keeping pace with organizational goals evidence.

Язык: Английский

Процитировано

0

The complementary role of big data and intellectual capital on value co-creation: proposing a value creation framework in information-intensive organizations DOI
Raazia Gul

Qualitative Research in Financial Markets, Год журнала: 2025, Номер unknown

Опубликована: Апрель 11, 2025

Purpose This study aims to build a value-creation framework based on the insights gained complementarity of big data (BD) and intellectual capital (IC). paper adopts collective intelligence approach dynamic capability view that considers organizations as systems working in environment. Design/methodology/approach uses comparative case examine how IC BD co-create value information-intensive organizations. Ten banking institutes Pakistan were selected cases. The collected through semi-structured interviews, document analysis participant observation. was analyzed using thematic analysis. Findings found can complement each other create various means, such improving customer understanding, developing new products services making better decisions. However, potential only be exploited if have required expertise, skills knowledge. Research limitations/implications is limited small number Pakistan, so findings may not generalizable or industries. study’s provide valuable into co-creation between BD, use them develop their strategies for leveraging these assets. Practical implications Organizations should invest training programs hire specialists expertise management. They gain personalize services. Additionally, help improve decision-making data-driven predictive analytics. Social social industry Pakistan. By banks make lead increased satisfaction, improved financial performance more sustainable sector. Originality/value original its focus It issue, it develops creation used by manage investments effectively. concept collaborative intelligence, which ability pool knowledge value.

Язык: Английский

Процитировано

0

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

Oluwakemi Famoti,

Bamidele Michael Omowole,

Godwin Nzeako

и другие.

International Journal of Scientific Research in Computer Science Engineering and Information Technology, Год журнала: 2025, Номер 11(1), С. 1670 - 1701

Опубликована: Фев. 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

Язык: Английский

Процитировано

0