The role of eco-innovation drivers in promoting additive manufacturing in supply chains

Afshari, Hamid; Searcy, Cory; Jaber, Mohamad Y.

doi:10.1016/j.ijpe.2019.107538

Cited by 67 publications

(41 citation statements)

References 72 publications

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“…It is suggested that regional policies should be analyzed to allow for the creation of indicators that are closer to reality. Some of these indicators were included in the instruments proposed for the measurement of eco-innovation [25,26,35,40,42,58].…”

Section: Results: Proposed Model Factorsmentioning

confidence: 99%

“…It should be noted that to achieve these benefits, changes are needed in the organizational structure of companies, in internal processes and in how companies establish pull-push marketing strategies. It is here where concepts such as eco-design and changes in relationships with suppliers, customers, and distributors emerge, and where environmental awareness integrates new activities in the value chain [40,41].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Arundel and Kemp [42] proposed a series of indicators grouped by input indicators and intermediate indicators that are based on the measures implemented by companies and direct and indirect output indicators based on the benefits achieved. Cheng and Shiu [40] applied the input-output approach proposed in Arundel and Kemp's [42] work and grouped their indicators according to the implementation of eco-innovation: (1) Implementation of eco-processes, (2) implementation of eco-products, (3) innovation strategy, and (4) performance of the company. Another interesting approach to the measurement of eco-innovation is proposed by Scarpellini et al [35], who developed a methodology to analyze the main characteristics of eco-innovation projects from the perspective of the business strategy, taking into account environmental, economic, and social indicators.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Another interesting approach to the measurement of eco-innovation is proposed by Scarpellini et al [35], who developed a methodology to analyze the main characteristics of eco-innovation projects from the perspective of the business strategy, taking into account environmental, economic, and social indicators. Cheng and Shiu [40] also developed a set of indicators for the measurement of eco-innovation projects, grouping them into four dimensions or constructs: Green economy performance, economic and social performance, technological accumulation performance, and environmental protection performance. Likewise, the European Commission (EU) [14] has been interested in establishing indicators for eco-innovative activities that illustrate the performance of innovation in the EU member states.…”

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters

et al. 2020

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Scientific and business environment literature shows that green, sustainable innovation or eco-innovation has proven to be a source of competitive advantage today. The industrial clusters, their dynamism, and the synergies created within them attract a lot of attention from the scientific community. However, to date, the joint study of these two concepts and, more specifically, the factors that drive eco-innovation specifically in a cluster, have not been studied in depth. This article models eco-innovation in industrial clusters, thus addressing this gap and proposing a model based on information gathered from the literature and a detailed analysis of behavior in relation to eco-innovation in different sectors. Results suggest that including eco-innovation variables and measures may have positive implications such as improvements at the strategic level and the reduction of costs and use of resources. An eco-innovation model for clusters is proposed. It considers eight key factors that seek to raise its competitive level by promoting eco-innovation within clusters. The model includes five internal factors that analyze business capabilities and three external factors that study the effect of launching eco-innovative activities. This model could help the companies’ managers and those responsible for clusters in creating more successful strategies to increase competitiveness by enhancing eco-innovation. It could also serve as a guide for government entities in the performance of eco-innovative activities in economic sectors.

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Section: Results: Proposed Model Factorsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters

et al. 2020

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“…At this stage, the 51 studies analyzed were produced by the authors (Abdulhameed et al, 2019;Afshari et al, 2019;Agrawal & Vinodh, 2019;Ahmad & Enemuoh, 2020;Arrizubieta et al, 2020;Attaran, 2017;Böckin & Tillman, 2019;Campitelli et al, 2019;Caviggioli & Ughetto, 2019;Cerdas et al, 2017;Chen et al, 2015;Barros & Zwolinski, 2016;Esmaeilian et al, 2016;Faludi et al, 2019;Ford & Despeisse, 2016;Fruggiero et al, 2019;Garg & Lam, 2015;Ingarao et al, 2018;Kek et al, 2016;Kellens et al, 2017a, b;Kohtala, 2015;Kothman & Faber, 2016;Kunovjanek & Reiner, 2020;Li et al, 2017;Liu & De Giovanni, 2019;Ma et al, 2018;Maciel et al, 2019;Mele et al, 2020;Minetola & Eyers, 2018;Mrazović et al, 2018;Nagarajan & Haapala, 2018;Niaki et al, 2019;Nyamekye et al, 2015;Nyman & Sarlin, 2014;Paris et al, 2016;Peng et al, 2018;Peng & Sun, 2017;Pour et al, 2016;Priarone & Ingarao, 2017;Priarone et al, 2018;Saade et al, 2020;…”

Section: Bibliometric Analysismentioning

confidence: 99%

Systematic analysis of comparative studies between additive and conventional manufacturing focusing on the environmental performance of logistics operations

et al. 2020

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Based on the promise to revolutionize the entire supply chain, additive manufacturing is seen as an alternative to conventional manufacturing processes, since it simplifies the production of small batches, shortens the distances between production and consumption and generates new distribution models. Due to its huge potential to spread more sustainable environmental practices, investigations on the environmental assumptions, concerning the application of additive manufacturing technologies, are required. Therefore, based on a systematic literature review, this study aimed to analyze the studies that addressed the environmental performance of logistics operations in a comparison among conventional and additive manufacturing, using the Life Cycle Assessment technic (LCA). Although there are few available studies that quantitatively analyze and compare the environmental performance of the additive manufacturing process with traditional process from a transport perspective, it has been concluded that reducing the distances and the quantity of transported products, carbon dioxide emissions and the consumption of energy resources are reduced.

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Critical network factors for eco‐innovation in manufacturing: A Delphi study from a triple helix perspective

2022

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Managing networks for eco‐innovation remains a top priority in manufacturing due to industrial collaborations being the de facto mode of functioning for modern manufacturing firms. Accordingly, an awareness of critical network factors is imperative for strategies that lead to successful sustainability‐focused partnerships and profitable collaborations. This study applies a group‐based multi‐criterion decision‐making technique—the Delphi methodology—to evaluate critical network factors for eco‐innovation in manufacturing from the viewpoint of 116 experts within the triple helix, that is, university, industry and government experts. The study uniquely frames the eco‐innovation strategy challenge for manufacturing from a network perspective. Review of literature and an online survey identifies 63 network motivational, configurational and transformational factors. Subsequent polled results show heterogeneity during Delphi selection (Cochran's Q: p < 0.001) and prioritisation (Friedman's Q: p < 0.001) rounds with ‘environmental concern by top management’, ‘innovative organisational strategies’, and ‘integrity norms of signed contract’ as the top motivational, configurational and transformational factors. The study also discusses the theoretical and managerial implications of the study for triadic orientations and triple helix framing of eco‐innovation networks and concludes by identifying research limitations and potential future research areas.

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The role of eco-innovation drivers in promoting additive manufacturing in supply chains

Cited by 67 publications

References 72 publications

Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters

Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters

Systematic analysis of comparative studies between additive and conventional manufacturing focusing on the environmental performance of logistics operations

Critical network factors for eco‐innovation in manufacturing: A Delphi study from a triple helix perspective

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