The Potential of Additive Manufacturing for Technology Entrepreneurship: An Integrative Technology Assessment

Gartner, Johannes; Maresch, Daniela; Fink, Matthias

doi:10.1111/caim.12132

Cited by 26 publications

(25 citation statements)

References 45 publications

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“…Conceptual research (48.7%) included articles based either on authors' subjective opinions and/or literature reviews, literature surveys, and research commentary. One paper classified as conceptual research in the category of "technology assessment" [72] was found to be based on a primary data collection. However, the majority of the publications included in this macro-category were "research commentary" (34.5% of the entire sample), which is the main research method of our sample.…”

Section: Methodsmentioning

confidence: 99%

Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review

et al. 2019

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The digital transformation of manufacturing (a phenomenon also known as “Industry 4.0” or “Smart Manufacturing”) is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field.

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Section: Methodsmentioning

confidence: 99%

Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review

et al. 2019

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“…3D printing has the potential to transform manufacturing and alter services (Gartner et al 2015). Due to its specific characteristics, 3D printing technology provides novel ways for companies to create value for customers.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Business model patterns for 3D printer manufacturers

Holzmann

Breitenecker

Schwarz

2019

JMTM

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Purpose-The purpose of this paper is to analyze the business models that 3D printer manufacturers apply to commercialize their technologies. The authors investigate these business models and analyze whether there are business model patterns. The paper describes the gestalt of the business model patterns and discusses differences and similarities. Design/methodology/approach-The authors review the literatures on business models and 3D printing technology. The authors apply a componential business model approach and carry out an in-depth analysis of the business models of 48 3D printer manufacturers in Europe and North America. The authors develop a framework focusing on value proposition, value creation and value capture components. Cluster analysis is used to identify business model patterns. Findings-The results indicate that there are two distinct business model patterns in the industry. The authors termed these patterns the "low-cost online business model" and the "technology expert business model." The results demonstrate that there is a relationship between business model and technology. The identified patterns are independent of age, company size and country of origin. Research limitations/implications-The empirical results complement and extend existing literature on business models. The authors contribute to the discussion on business models in the context of novel technology. The technology seems to influence the gestalt of the business model. The sample is limited to European and North American companies and the analysis is based on secondary data. Originality/value-This is the first empirical study on the business models of 3D printer manufacturers. The authors apply an original mixed-methods approach and develop a framework that can function as a starting point for future research. 3D printer manufacturers can use the identified business model patterns as blueprints to reduce the risk of failure or as a starting point for business model innovation.

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“…Software engineering practices such as agile development (Dyba and Dingsøyr 2008) allow programmers to change a software product in weeks, days, or sometimes in even less time (Gothelf and Seiden 2012). In hardware and materials, change cycles are slower (Tanev et al 2015) and ridden with technological readiness issues, despite advances in additive manufacturing (Gartner et al 2015) and computing power that is used in the R&D process (Thomke 1998). Materials designers understand that designing a new materials-based product requires a simultaneous design of a process and a product (Linton and Walsh 2008).…”

Section: Addressing Market Uncertaintymentioning

confidence: 99%

Lean startup for materials ventures and other science-based ventures: under what conditions is it useful?

Harms

Marinakis

Walsh

2015

Transl. Mater. Res.

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Materials-based ventures face a high degree of technology uncertainty and market uncertainty when engaging in the technology entrepreneurial process. Recently, the lean startup methodology (LSM) has been introduced to practice and education as an integrated approach on how entrepreneurs can resolve these uncertainties when starting up a business. While the literature provides examples of LSM's successful application in a range of application areas, its focus application tends to be on consumer software. The purpose of this article is to discuss the degree to which LSM can be applied to the context of technology entrepreneurship. We find that LSM has strengths in addressing market uncertainty, but is largely silent on addressing technology uncertainty. In situations of a low degree of technology readiness, strongly intertwined process and product innovation processes such as those common in materials translation, and of addressing business markets, LSM may not suffice. We discuss the case of competence leveraging as one where technology uncertainty is lower for materials companies and illustrate the benefits on LSM in this context.

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The Potential of Additive Manufacturing for Technology Entrepreneurship: An Integrative Technology Assessment

Cited by 26 publications

References 45 publications

Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review

Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review

Business model patterns for 3D printer manufacturers

Lean startup for materials ventures and other science-based ventures: under what conditions is it useful?

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