Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

A conceptual framework for data-driven HR in SMEs: Integrating eco-innovation in the fashion and arts sectors

Breadcrumb

  • Home
  • A conceptual framework for data-driven HR in SMEs: Integrating eco-innovation in the fashion and arts sectors

Irunna Ejibe 1, Tochukwu Chinwuba Nwankwo 2, Ekene Ezinwa Nwankwo 3, *, Chinwe Chinazo Okoye 4 and Uzondu Chikodiri Scholastica 3

1 Independent Researcher, Lagos, Nigeria.
2 National Open University of Abuja, Nigeria.
3 Anambra State Polytechnic, Mgbakwu, Nigeria.
4 Access Bank Plc, Awka, Nigeria.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(03), 061-068
Article DOI: 10.30574/wjarr.2024.21.3.0660
DOI url: https://doi.org/10.30574/wjarr.2024.21.3.0660
 
Received on 17 January 2024; revised on 25 February 2024; accepted on 27 February 2024
 
In the contemporary landscape of business, small and medium-sized enterprises (SMEs) face the challenge of integrating sustainable practices while maintaining competitiveness in industries such as fashion and arts. This paper proposes a conceptual framework aimed at facilitating data-driven human resources (HR) practices within SMEs, with a specific focus on integrating eco-innovation strategies within the fashion and arts sectors. The framework addresses the growing importance of sustainability in business operations, particularly within industries known for their environmental impact and creative output. By leveraging data-driven HR approaches, SMEs can effectively align their human capital strategies with eco-innovation goals, thereby enhancing both environmental sustainability and organizational performance. Drawing on existing literature on HR management, eco-innovation, and SMEs, the proposed framework emphasizes the role of data analytics in informing HR decision-making processes. Through the collection and analysis of relevant data points, SMEs can identify opportunities for eco-innovation within their operations, such as sustainable sourcing practices, waste reduction initiatives, and eco-friendly product design. Furthermore, the framework highlights the importance of fostering a culture of innovation and sustainability within SMEs, emphasizing the role of leadership, employee engagement, and organizational learning. By promoting a shared vision of sustainability and providing employees with the necessary resources and support, SMEs can cultivate a workforce that is motivated to contribute to eco-innovation efforts. The application of the conceptual framework is illustrated through case studies and practical examples within the fashion and arts sectors, showcasing how data-driven HR practices can drive sustainable innovation and competitive advantage in SMEs. By embracing this framework, SMEs operating in these sectors can position themselves as leaders in sustainable business practices while fostering long-term growth and resilience in an increasingly competitive market environment. The proposed conceptual framework offers a systematic approach to integrating eco-innovation within SMEs through data-driven HR practices. By aligning human capital strategies with sustainability goals, SMEs can unlock new opportunities for innovation, growth, and environmental stewardship in the fashion and arts sectors.
 
Data-Driven; HR; SMEs; Eco-Innovation; Fashion; Arts; Framework; Review
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-0660.pdf

Preview Article PDF

Irunna Ejibe, Tochukwu Chinwuba Nwankwo, Ekene Ezinwa Nwankwo, Chinwe Chinazo Okoye and Uzondu Chikodiri Scholastica. A conceptual framework for data-driven HR in SMEs: Integrating eco-innovation in the fashion and arts sectors. World Journal of Advanced Research and Reviews, 2024, 21(3), 061-068. Article DOI: https://doi.org/10.30574/wjarr.2024.21.3.0660

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution