Refine
Document Type
- Article (19)
- Part of a Book (2)
- conference proceeding (article) (2)
Language
- English (23)
Reviewed
- Begutachtet/Reviewed (22)
Keywords
- AI-Augmented Innovation Management (1)
- Additive Manufacturing, Consulting Services, Business Models (1)
- Additive Manufacturing; Traditional Manufacturing; Supply Chain Configuration (1)
- Additive manufacturing, Multi-material AM, Industry applications, 3D printing (1)
- Analytic hierarchy process; Apparel industry; Qualification mechanism; Relational mechanism; Retailer-manufacturer dyads; Socially responsible (1)
- Artificial Intelligence (1)
- ChatGPT (1)
- Climate change Disaster risks Normative isomorphism Supply chain Garment industry (1)
- Generative AI (1)
- Innovation Management (1)
Institute
Plant-based protein food products are considered healthier, more nutritious, and substantially ‘greener’ than meat-based dietary offerings. For reasons such as these plant protein sources including peas/legumes, soy and algae are experiencing unpre-cedented market popularity. Amidst the multitude of alternative protein-based foods on offer, peas are the most promising plant-protein source as they contain all the essential amino acids and have a well-balanced nutritional profile in terms of fat and fibre. However, understanding the extent of the market feasibility of the respective pea protein supply chains (SCs), based on practical expertise, is of utmost importance for policymakers and industrialists alike to evaluate the growth potential of peas as a protein source. To this end, a survey was conducted among pea SC stakeholders to create an understanding of the level of market feasibility of pea protein-based products. A SWOT analysis consolidated the different views and resulted in the
identification of specific strengths, weaknesses, opportunities, and threats within the industry. By focusing on understanding the challenges and prospects within peaprotein product SCs, this research provides a springboard for further research investigations into related plant protein-based products. The resulting blueprint of recommended initiatives can help inform the further development of pea protein SCs.
The rise of generative Artificial Intelligence (AI) in traditionally human domains of creativity signifies a profound development in product innovation management. In this article, we investigate the evolving role of innovation managers, emphasizing a transition from problem-solving to sense-making and decision-making. Additionally, we delve into organizational strategies for effective AI integration, advocating for systematic experimentation, comprehensive training, and the development of AI-first innovation frameworks for new product development (NPD). Ultimately, we propose a paradigm shift to AI-first creative processes, where AI is not merely an extension but the foundational mechanism of the innovation workflow.
Purpose
The purpose of this paper is to identify and prioritise social responsible mechanisms in apparel supply chains to extend social responsibility from large retailers in developed countries to producers in developing nations.
Design/methodology/approach
A framework that consists of supplier qualification and supplier relational mechanisms as two socially responsible mechanisms, with five factors and 18 dimensions is proposed. To prioritise the dimensions, analytic hierarchy process is employed by using a case study methodology of a major Australian retailer sourcing from Bangladesh manufacturers.
Findings
Results indicate that at the mechanism level, both retailer and manufacturers perceive qualification of manufacturer as by far the most critical element compared to the relational mechanism. However, substantial differences exist at the factor level; namely, that the social factor is critical for the retailer, whereas the economic factor is critical for the manufacturer. Within the relational mechanism, evaluation helps retailers to enforce social responsibility, while manufacturers believe collaboration helps.
Research limitations/implications
The major limitation of this study is the generalisation of the findings. The results obtained by focusing on a particular context in the Australian retail sector importing from Bangladesh, may not be applicable to other nations.
Practical implications
By highlighting the difference of opinion, this study assists managers in developing guidelines to better understand the socially responsible mechanisms in the retailer-manufacturer dyadic relationship and to propose strategies to address the differences.
Originality/value
This study advances the literature on inter-organisational relationship to retailer-manufacturer dyad for the implementation of social responsibility by including supplier qualification along with supplier relational mechanism.
Additive Manufacturing (AM) is an important aspect of Industry 4.0 but many manufacturing companies are still uncertain of how to make the most of this new technology. As a result, there is a growing trend towards provision of AM consulting services. This paper gives an overview of
the current state of this sector, proposes strategic requirements and describes challenges and opportunities within the AM consulting service
industry.
Although steps have been taken to improve sustainable practices in the construction industry, progress to date has been slow. Advances in 3D printing technology provide a significant opportunity to reconfigure construction industry supply chains to improve its sustainability credentials. This study investigates the adoption of 3D construction printing (3DCP) as a sustainable alternative and/or to augment traditional construction industry supply chains. By analysing six 3DCP organisations and feeding six critical insights into the Business Model Navigator, this study proposes three supply chain models i.e. generative construction service, hybrid service, and emergency service. A generative supply chain model can be used as an on-demand service for customers with limited knowledge of 3DCP. The hybrid model can integrate 3DCP with a traditional construction supply chain to construct part of the building. Finally, the emergency services model can be used to rapidly construct cost-effective housing (e.g for refugees). The adoption of 3D Printing using these supply chain models in housing construction supply chains has the potential to offer considerable benefits both for construction companies and end-users, while at the same time improving sustainability, affordability and productivity.
Multi-Material Additive Manufacturing (MMAM) introduces a new dimension to production technologies by seamlessly integrating multiple materials into a single object, enabling unparalleled design possibilities. This paper explores MMAM value chains and methods and showcases real-world applications in the aerospace, biomedical and industrial sectors. While MMAM holds promise for application in high-tech industries, its widespread adoption is contingent on quantity, utilization and technical requirements. Continued research into developing material properties and reducing unit costs is needed. Only once these two key challenges have been addressed is mainstream adoption likely.
Guest editorial: The interplay between new innovations, sustainability and food supply chains
(2024)
3D printing offers opportunities to reduce Supply Chain (SC) complexity by manufacturing parts closer to the points of assembly and/or maintenance (Holmström and Partanen, 2014), and can also lead to the development of entrepreneurial businesses (Holzmann et al., 2017). Overall, 3D printing is having a major effect on business models, SC configurations and service provisions (Despeisse et al., 2017; Gebler et al., 2014; Hopkinson et al., 2006; Lipson and Kurman, 2013; Rayna et al., 2015). However, notwithstanding technological advances and standardization of the 3D printing technologies, wider adoption needs to overcome current hurdles such as high machine acquisition and raw materials costs, limited pool of skilled workforce, limited range of raw materials and slow manufacturing speed.
Purpose
The emergence and application of 3D Printing (3DP) is changing the way products are developed and reach the customer, allowing for unprecedented customisation options. Past research has focussed on the modus operandi of the technology, providing indications for wider future adoption. 3DP is predicted to complement current production processes and is anticipated to have a profound effect on the value chain and, therefore, on supply chain (SC) management. Management-related 3DP research has, however, been largely fragmented in terms of analysing the strategic deployment of 3DP and the corresponding effects on performance objectives. The aim of this paper is to identify, define and exemplify typical 3DP deployment strategies pursued.
Design/methodology/approach
The approach taken is a critical literature review, synthesising and interpreting past research on cross-industry deployment of 3DP, including illustrative examples. This enabled the development of a framework of current stage knowledge.
Findings
Building on past research, the authors propose a conceptual framework to be used as a classification system for 3DP operations, based on process and SC level configurations across different industries. They discuss the potential impact on operations performance objectives and then highlight research gaps, proposing specific research avenues to enhance understanding of the effects of 3DP adoption on SCs.
Practical implications
The proposed framework outlines strategic guidelines for 3DP and provides practitioners with the range of strategic options available for 3DP deployment and anticipated impacts on performance.
Originality/value
The framework can be used to map 3DP deployment at an operational level and identify the likely impact on performance objectives. Relevant implications and a future research agenda are explored.