HARNESSING DATA ANALYTICS FOR ECO-INNOVATION IN HR PRACTICES: A CONCEPTUAL MODEL FOR THE FASHION AND ARTS SECTORS

Authors

  • Irnnna Ejibe Independent Researcher, Lagos, Nigeria
  • Ekene Ezinwa Nwankwo Anambra State Polytechnic, Mgbakwu, Nigeria

DOI:

https://doi.org/10.51594/ijarss.v6i3.893

Abstract

In the contemporary landscape of business, the fusion of data analytics and eco-innovation has emerged as a potent force for organizational advancement. This abstract presents a conceptual model that delineates the integration of data analytics into Human Resources (HR) practices for fostering eco-innovation, specifically tailored for the dynamic and creative realms of the fashion and arts sectors. The fashion and arts industries, characterized by rapid trends and creative dynamism, face increasing pressure to align their practices with sustainability imperatives. Concurrently, the utilization of data analytics in HR functions has gained prominence for its potential in optimizing decision-making processes. This conceptual model proposes a strategic framework that amalgamates these two domains, aiming to catalyze eco-innovation within organizations operating in the fashion and arts sectors. At its core, the model underscores the importance of leveraging data analytics to inform HR practices towards sustainability goals. By harnessing big data analytics, organizations can gain insights into various facets of their operations, ranging from supply chain management to talent acquisition and retention strategies. These insights serve as the foundation for devising HR interventions that prioritize eco-friendly practices, such as reducing carbon footprint, optimizing resource utilization, and promoting ethical labor practices. Furthermore, the model advocates for a holistic approach that integrates eco-innovation initiatives into the organizational culture. This entails fostering a mindset shift among employees, wherein sustainability becomes ingrained in the organizational ethos. Through targeted training programs, awareness campaigns, and incentive structures, employees are empowered to contribute actively to eco-innovation efforts. Moreover, the model emphasizes the significance of strategic partnerships and collaborations within the industry ecosystem. By collaborating with stakeholders across the value chain, organizations can amplify their impact and drive systemic change towards sustainable practices. The proposed conceptual model serves as a roadmap for fashion and arts organizations seeking to harness the power of data analytics to drive eco-innovation within their HR practices. By embracing this model, organizations can not only enhance their competitive advantage but also contribute positively to environmental preservation and societal well-being.

Keywords: Data Analytics, Eco-Innovation, HR, Model, Fashion, Arts, Review.

Published

2024-03-17

Issue

Section

Articles