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Sustainability-driven adoption of additive manufacturing and its impact on manufacturing performance

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

Purpose – This study explores how ecological sustainability (eco-sustainability) motivations influence the adoption of additive manufacturing (AM), smart manufacturing transformation and sustainable manufacturing performance (SMP) in the manufacturing industry. It aims to bridge the gap in understanding the mechanisms that link sustainability motivations to technology adoption and performance outcomes in emerging economies. Design/methodology/approach – A time-lagged survey design using a quantitative method was employed to collect data in two stages from a stratified random sample of manufacturing organizations (n = 347). A structured investigation was conducted using an online survey questionnaire among top-level professionals. SmartPLS4 was used to perform hypothesis testing and gather management insights through partial least squares structural equation modeling and importance-performance map analysis (IPMA). Findings – The results indicate that eco-sustainability motivations – eco-efficiency, eco-effectiveness, eco-responsiveness and eco-legitimacy – significantly promote the adoption of AM. The adoption of AM has a positive impact on both exploitative and explorative transformations in smart manufacturing, which in turn enhances the overall SMP. Organizational inertia negatively moderates these relationships. IPMA highlights the crucial role of AM, but its relatively low performance underscores areas needing strategic improvement. Managers should integrate sustainability motivation with AM and address organizational inertia to improve sustainable manufacturing. Originality/value – This study empirically verifies the dual effect of AM adoption on sustainability motivation in emerging economies, expanding the view through the lens of natural resources and ambidexterity theory. It offers new insights into organizational inertia and provides practical advice for manufacturing managers.

Original languageEnglish
Pages (from-to)657-680
Number of pages24
JournalJournal of Manufacturing Technology Management
Volume37
Issue number3
DOIs
Publication statusPublished - 27 Mar 2026
Externally publishedYes

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

  • Additive manufacturing
  • Eco-sustainability motivation
  • Inertia
  • Smart manufacturing
  • Transformation

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