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Eco-innovation, sustainable business performance and market turbulence moderation in emerging economies

  • Otu Larbi-Siaw
  • , Hu Xuhua
  • , Ebenezer Owusu
  • , Abigail Owusu-Agyeman
  • , Brou Ettien Fulgence
  • , Samuel Akwasi Frimpong
  • Jiangsu University
  • Ghana Technology University College

Research output: Contribution to journalArticlepeer-review

134 Citations (Scopus)

Abstract

The study purports to empirically draw out the prominence of eco-innovation in achieving sustainability in business performances, which is further tested by the moderation of turbulent market conditions on the relationship. In contrast to previous eco-innovation research, a nascent methodology involving a dual-stage hybrid analysis and an emerging Artificial Intelligence (AI) technique, deep learning was used to analyze 683 viable responses from Ghanaian manufacturing firms. Some intriguing conclusions were discovered where the dimensions of sustainable business performance are achievable vis-à-vis the implementation of product, process, and organizational eco-innovation. Notably, a manufacturing firm's environmental performance can be considerably improved by implementing the triumvirate of product, process, and organizational eco-innovation. Subsequently, a firm can improve its social performance by R&D investment in eco-innovations, novel green management practices and staff sensitization on eco-innovation. Lastly, market turbulence (technology and environmental turbulence) in the form of technological advancements, intense market competition, changing household demand and taste amplifies the positive effect of product and organizational eco-innovation on the economic dimension of sustainable performance. Theoretically, a newly integrated theoretical framework, which incorporates eco-innovation, contingency and RBV theory, could aid in determining the relative importance of specific determinants, thereby providing significant contributions to eco-innovations effect on the sustainability of business performance.

Original languageEnglish
Article number101899
JournalTechnology in Society
Volume68
DOIs
Publication statusPublished - Feb 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Artificial intelligence
  • Eco-innovation
  • Market turbulence
  • Sustainable business performance

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