Additive manufacturing in the medical sector: from an empirical investigation of challenges and opportunities toward the design of an ecosystem model (original) (raw)

2024, International Journal of Operations & Production Management

Purpose This works provides a thorough understanding of the challenges and opportunities associated with Additive Manufacturing (AM) adoption in the medical sector. Through this analysis, we aim to better understand when to adopt AM, how to do so, and how such adoption might change in the future. Design/methodology/approach This research first conducted a systematic literature review (SLR) to identify AM challenges and opportunities in the medical sector, which were then validated through a Delphi study. The 18 Delphi study participants were also asked to suggest countermeasures for the challenges and help identify future AM adoption scenarios. Finally, these findings were analyzed according to the ecosystem pie model to design an ecosystem model for AM in the medical sector. Findings Among the 13 challenges and 13 opportunities identified, the lack of a skilled workforce and the responsiveness achievable via AM were by far the most relevant challenge and opportunity. Moreover, the participants identified countermeasures for 10 challenges, as well as three future AM adoption scenarios. Finally, leveraging these findings, an ecosystem model was developed. Originality/value This work contributes to the limited understanding of the AM challenges and opportunities in the medical sector. It helps medical practitioners to better understand the challenges and opportunities associated with AM and AM manufacturers to better identify where to focus their R&D efforts and how this would impact future AM adoption levels. Furthermore, this work extends current theory supporting the design of an ecosystem model for AM in the medical sector following the ecosystem pie model.

Why, where and how are organizations using blockchain in their supply chains? Motivations, application areas and contingency factors

International Journal of Operations & Production Management, 2022

Purpose Blockchain is increasingly being considered for applications in operations and supply chain management. However, evidence from practice is still scarce on why, where and how organizations seek to apply the technology in the supply chain across different industries. The study develops a comprehensive framework to enhance understanding of the application areas of blockchain technology in the supply chain, as well as organizations' motivations in seeking blockchain solutions and relevant contingency factors influencing applications. Design/methodology/approach The authors investigate 50 use cases of blockchain applications in the supply chain, covering six industries. Contingency theory is applied in conducting a qualitative textual and correlation analysis to identify and compare blockchain adoption motivations, application areas and contingency factors across different industries. Findings The analysis develops an evidence-based framework that captures ten principal motivations in seeking blockchain solutions, three main blockchain application areas along with important application subcategories and five clusters of contingency factors that influence blockchain deployment and its uses in different industrial sectors. Research limitations/implications – The study expands the limited cross-sectoral research on blockchain applications and motivations in the supply chain. Using contingency theory, it presents a comprehensive framework that captures the drivers and factors relating to blockchain adoption in the supply chain in a nomological network. The study lays the foundation for further theoretical perspectives and empirical research to investigate relevant sectoral characteristics and their importance for different types of blockchain application in the supply chain. Practical implications The study informs practitioners about potential supply chain application areas that can be enhanced through blockchain technology, taking account of the specific characteristics of their products, business and manufacturing processes, supply network configurations, industry standards, regulations and market demand. Originality/value The study is the first to provide cross-sectoral evidence on the relevance of organizations’ motivations and numerous contingency factors on blockchain application areas in the supply chain.

Supply chain and logistics in smart cities: A systematic literature review

Journal of Infrastructure, Policy and Development, 2024

Rapid urban expansion gives rise to smart cities which pose immense logistical and supply chain challenges. The COVID-19 pandemic transformed the holistic system identified by Zhao et al. in 2021. The system encompasses logistics and supply chain integral to the concept of smart cities, with a focus on sustainability. This transformation requires an in-depth study on challenges of a common framework of policies for smart cities in countries comprising the Organisation for Economic Cooperation and Development (OECD). The study employs an extensive literature analysis for the period 2020-2022. an approach which contextualizes the model. The model identifies the causes, impact, and spillovers of new trends in logistics and supply, including the sustainability of adopted technologies. The study includes the variables involved, and barriers to creating a shared model. The results reveal that the two elements affecting the supply chain and transport in smart cities are Industry 4.0 and 5.0 technologies supporting specific sectors. The resilience of small and medium-sized enterprises positively impacts the sustainability of large urban centres. The study presents both factors that help and hinder the adoption of environmental, social, and economic sustainability technologies.

The effects of digital servitization on business competitiveness: A case study of Spanish manufacturers

Journal of International Entrepreneurship

In recent years, interest has grown in servitization strategies as business models for selling combined packages of goods and services to create competitive advantage to provide great customer value. Various studies have examined the benefits servitization offers to both businesses and their customers; however, there is very little research on the moderating role played by the digital enablers of Industry 4.0 on servitization. It is this research gap that the present study aims to fill. Using a framework developed from the extant literature, case studies, with an exploratory objective, were conducted to the aim of identifying and analyzing the challenges and opportunities that could be presented in those companies that decide to develop digital servitization. To achieve it, this study focuses on a deep analysis of the experience in five manufacturing companies, and, from that, we draw significant conclusions (both for further research and for business practice) about the strategy of...

A TRIZ-Informed Intervention Framework for Sustainable 4IR Adoption in Malaysian Manufacturing and Related Services (MRS) Industries

Journal of Advanced Research in Applied Sciences and Engineering Technology, 2024

Industry4WRD is Malaysia's effort to become a technological frontrunner in the Fourth Industrial Revolution (4IR). Based on the Theory of Inventive Problem Solving (TRIZ) and scholarly insights on technology adoption, this study creates a flexible 4IR intervention framework for Malaysia's Manufacturing and Related Services (MRS) industry. The evidence-focused reviews, Delphi surveys, content analysis, and patent evaluations comprise the framework's backbone and provide direction for MRS businesses adopting 4IR technologies while keeping risks in check. It is of universal interest because it helps governments and businesses deal with the challenges posed by the 4IR. Ultimately, it helps Malaysian MRS industries to flourish in 4IR tech, promote economic growth, generate employment, and enhance the quality of life in a rapidly developing technology context.

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