Artificial intelligence applications for information management in sustainable supply chain management: A systematic review and future research agenda

International Journal of Information Management Data Insights, Journal Year: 2024, Volume and Issue: 4(2), P. 100292 - 100292

Published: Sept. 30, 2024

Language: Английский

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How do institutional quality and income asymmetrically affect carbon emissions inequality? A Quantile-on-Quantile assessment for six major global emitters

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144215 - 144215

Published: Nov. 1, 2024

Language: Английский

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Optimizing Working Capital in E-Commerce Supply Chains

International Journal of Information Systems and Supply Chain Management, Journal Year: 2025, Volume and Issue: 18(1), P. 1 - 30

Published: Feb. 13, 2025

This research aims to develop a comprehensive, data-driven financial model for optimizing working capital enhance operational efficiency and competitiveness in the supply chains of e-commerce companies. Questionnaire data from 280 stakeholders operating within across globe were analyzed using structural equation modeling (SEM) analysis explore complex interrelations between variables that optimize chains. The findings SEM reveal technology integration, such as sensors AI-driven inventory management systems; market responsiveness through adaptive pricing strategies; supplier relationship via ethical transparent transactions, have direct positive influence on Furthermore, collaborative planning, use emerging technologies efficient practices, emerged key mediator, amplifying integration management.

Language: Английский

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Critical success and failure factors in the AI lifecycle: a knowledge graph-based ontological study

Journal of Modelling in Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Purpose The purpose of this study is to provide a holistic understanding the factors that either promote or hinder adoption artificial intelligence (AI) in supply chain management (SCM) and operations (OM). By segmenting AI lifecycle examining interactions between critical success failure factors, aims offer predictive insights can help proactively managing these ultimately reducing risk failure, facilitating smoother transition into AI-enabled SCM OM. Design/methodology/approach This develops knowledge graph model lifecycle, divided pre-development, deployment post-development stages. methodology combines comprehensive literature review for ontology extraction expert surveys establish relationships among ontologies. Using exploratory factor analysis, composite reliability average variance extracted ensures validity constructed dimensions. Pearson correlation analysis applied quantify strength significance entities, providing metrics labeling edges resource description framework. Findings identifies 11 dimensions integration OM: (1) setting clear goals standards; (2) ensuring accountable with leadership-driven strategies; (3) activating leadership bridge expertise gaps; (4) gaining competitive edge through partnerships advanced IT infrastructure; (5) improving data quality customer demand; (6) overcoming resistance via awareness benefits; (7) linking domain infrastructure robustness; (8) enhancing stakeholder engagement effective communication; (9) strengthening robustness change training governance; (10) using key performance indicators-driven reviews management; (11) accountability copyright integrity governance. Originality/value enhances decision-making by developing segments stages, introducing novel approach OM research. incorporating element uses graphs anticipate outcomes from These assist practitioners making informed decisions about use, overall

Language: Английский

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Role of Artificial Intelligence and Machine Learning in E-commerce: a Literature Review

ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, Journal Year: 2025, Volume and Issue: 14, P. e31736 - e31736

Published: Feb. 27, 2025

In an era where digital transformation is accelerating rapidly, artificial intelligence and machine learning have emerged as transformative forces, especially in e-commerce. This paper presents a comprehensive literature review that delves into the fundamentals of e-commerce, intelligence, learning, highlighting their key advantages practical applications. By examining broad array studies, this research evaluates critical role reshaping e-commerce explores potential these technologies hold for enhancing customer engagement driving sales. The underscores how companies leverage intelligence-driven innovations to influence behaviour, enhance personalised marketing, streamline purchasing pathways. However, path successful integration not without obstacles. Challenges such organisational resistance, skills shortages, technical limitations, awareness gaps are notable barriers. Despite hurdles, findings suggest adopting tools positions long-term success, offering significant competitive fostering sustainable growth increasingly world.

Language: Английский

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Understanding customers’ intentions to use AI-enabled services in online fashion stores – a longitudinal study

International Marketing Review, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Purpose Artificial intelligence (AI) services are vital in enhancing customer experience and purchase intentions the international online fashion retail sector. This study explores customers’ to use AI-enabled services, focusing on transaction utility, trust product uniqueness across journey context of stores. also assesses how privacy moderates intentions. Design/methodology/approach adopted a longitudinal research design purposive sampling technique collect total 566 participants. The final data were analyzed using IBM SPSS Amos version 21 software. Findings highlights significance AI integration (pre-purchase, during post-purchase stages). Most direct relationships significant, except relationship between stages. With few exceptions, commonly does not mediate antecedents intention services. Privacy post-purchase, pre-purchase stage. Originality/value bridges important gaps literature by integrating behavior, contributing broader knowledge interactions global e-commerce examines multiple attributes that impact intention, such as trust, uniqueness, three stages purchases post-purchase) privacy, major theories: mental accounting theory, commitment theory commodity theory.

Language: Английский

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Sharing economy and retailer sustainable performance: the mechanisms via business model innovation and digital capabilities

Journal of Innovation and Entrepreneurship, Journal Year: 2025, Volume and Issue: 14(1)

Published: March 6, 2025

Language: Английский

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Strategic Sustainability in E-Commerce: Stakeholder-Centric Innovation in the Digital Retail Landscape

Published: Jan. 1, 2025

Language: Английский

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Significant applications of Artificial Intelligence towards attaining Sustainability

Journal of Industrial Integration and Management, Journal Year: 2023, Volume and Issue: 08(04), P. 489 - 520

Published: Dec. 1, 2023

Artificial Intelligence (AI) has grown and taken up challenging environmental issues. This technology helps accomplish sustainable development goals by helping us develop more effectively, use resources sustainably efficiently reduce waste manage. Sustainable AI must be adapted to cater the unique circumstances of each culture. The proper protections procedures in place for systems, given need vast data train system. It extensive applications anything from ocean monitoring climate change prediction modeling because its skills processing. AI, Machine Learning (ML) Robotic Process Automation (RPA) have helped these sectors survive with fewer people varied limits, all while keeping prices low. Digital transformation is a culture, organization, operations shift increase customer value. paper examines AI’s role developing environment. Primary activities that contribute sustainability are briefly covered. Finally, key were identified explored. transforming how we think, act, learn, and, course, construct. offers potential quickly identify inefficiencies chances boost productivity across sectors. building construction sector needs adopt into routine than other With usage one may achieve increased output, simplify work, eliminate so staff can stay focused. objectives when used appropriately at center development.

Language: Английский

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Research on the Innovation of Enterprise Digital Marketing Model in the Era of Digital Economy

Financial Engineering and Risk Management, Journal Year: 2024, Volume and Issue: 7(1)

Published: Jan. 1, 2024

The digital economy is having a more profound impact on the global and Chinese economic development trend. drives technological progress of enterprises, but also poses new challenges to way enterprises operate. Customers' consumption habits have changed, sales channels are being rebuilt, marketing models need be innovated. Through research, paper puts forward hypotheses countermeasures influence introduction, application innovation mode from three aspects: strategic operation management level, enterprise business model design e-commerce technology. innovative model, can cope with brought by environment.

Language: Английский

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