Smart Products value creation in SMEs innovation ecosystems

Kahle, Júlia Hofmeister; Marcon, Érico; Ghezzi, Antonio; Frank, Alejandro Germán

doi:10.1016/j.techfore.2020.120024

Cited by 104 publications

(90 citation statements)

References 44 publications

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“…While most Industry 4.0 studies (e.g. Camarinha-Matos et al , 2019; Kahle et al , 2020; Benitez et al , 2020) call for the need of collaboration practices for technology integration, we show which technologies may connect from these partnerships for distinct purposes. For this, we used a collaborative network approach in the technology management field.…”

Section: Conclusion and Further Implicationsmentioning

confidence: 61%

“…This result opens up avenues for discussion about how firms can develop collaborative networks to manufacture autonomous smart products. The literature on Industry 4.0 frequently describes the difficulty of developing autonomous smart products, since these involve the integration of very disruptive technologies such as IoT, AI, big data and cloud computing (Frank et al , 2019a; Kahle et al , 2020). Our CN shows that although all of these technologies may be present, CPS is the key link that enables this capability for smart products.…”

Section: Discussionmentioning

confidence: 99%

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Industry 4.0 collaborative networks for industrial performance

Santos

Costa

Kothe

et al. 2020

JMTM

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PurposeAlthough prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these technologies could be integrated to achieve better results. Based on this, we propose several collaborative networks combining technologies associated with Industry 4.0.Design/methodology/approachA literature review was performed using a research model to support the evaluation and identification of key and collaborative technologies related to Industry 4.0. We examined these technologies using hierarchical cluster analysis and principal components analysis, based on their characteristics.FindingsThe study identified big data, cloud computing, the internet of Things and cyber-physical systems as key technologies for Industry 4.0, and a further eight collaborative technologies that are strongly related to industrial performance. We found five collaborative networks with distinct goals in the context of Industry 4.0: (1) smart manufacturing; (2) technological platforms; (3) market reactiveness; (4) smart products and (5) flexibility.Practical implicationsThe findings allowed us to create five pathways for future work on Industry 4.0 technologies via collaborative networks. In practice, this will help managers to improve their focus on priorities regarding the implementation of Industry 4.0 technologies.Originality/valueThis study provides insights into how to establish links between technologies through collaborative networks for certain purposes. In addition, we propose five future directions for these collaborative networks that require further investigation by researchers.

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Section: Conclusion and Further Implicationsmentioning

confidence: 61%

Section: Discussionmentioning

confidence: 99%

Industry 4.0 collaborative networks for industrial performance

Santos

Costa

Kothe

et al. 2020

JMTM

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“…Após receber os questionários respondidos, foi possível verificar que a grande maioria das empresas que participaram da pesquisa são de pequeno porte, como característica da região da região sul do país na área metalmecânico. Além disso, quase metade dos questionários foram respondidos por gerentes ou diretores, como mostra a Tabela 1, o que está alinhado com outros trabalhos desenvolvidos na área de Indústria 4.0 (Benitez et al, 2020;Kahle et al, 2020). Tanto a validade do questionário quanto das respostas foi conduzida com pesquisadores especialistas da área de indústria para garantir a confiabilidade do estudo (Benitez et al, 2020;Podsakoff et al, 2012).…”

Section: Resultsunclassified

Análise da utilização das tecnologias da Indústria 4.0 nos modelos de negócios de PMEs do setor metalmecânico

Fucks

Lerman

Benitez

et al. 2021

Exacta

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Este artigo explora os conceitos e tecnologias da Indústria 4.0 ao analisar o modelo de negócios de empresas de pequeno e médio porte do setor metalmecânico brasileiro. O objetivo é identificar o quanto as empresas estão preparadas para a transformação na forma de fornecer serviços e produtos, além de apontar quais tecnologias podem auxiliar no desenvolvimento em direção à Indústria 4.0. Entre os passos metodológicos, estão um questionário aplicado em indústrias do setor metalmecânico e, como resultado, a elaboração de um framework que sintetiza o desenvolvimento tecnológico das empresas e direciona as tecnologias 4.0 que devem ser priorizadas para transpor as dificuldades encontradas nos modelos de negócios. O estudo apontou que tecnologias voltadas para digitalização e integração de processos tendem a oferecer maiores benefícios ao setor e devem ser priorizadas para o desenvolvimento das PMEs.

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“…The second Current innovation ecosystem models still lack a clear method of creating a holistic collaborative environment [40,41]. Most of the models are focused on specific sectors of the economy [42][43][44][45][46][47] or stakeholder types [48][49][50][51].…”

Section: Methodsmentioning

confidence: 99%

Analysis of the Local Innovation and Entrepreneurial System Structure Towards the ‘Wrocław Innovation Ecosystem’ Concept Development

Helman

2020

Sustainability

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The city of Wrocław is an important Polish center for creating innovations and modern technological solutions. In general, Polish innovation system is having problems with a lack of cooperation among different actors, a low level of commercialization and a weak uptake of technologies. Based on that, the objectives of this paper were set on the identification of the local innovation and entrepreneurial opportunities, the analysis of the current innovation system and the development of a community’s ecosystem theoretical concept. Currently, in Wrocław, many organizations are dealing with innovation. To assess the regional situation of the innovation system the ethnographic analysis was conducted. Each of the stakeholder segments was analyzed based on the resources, activities, value addition and value capture factors. The research showed a huge potential for creating an innovation ecosystem, however due to the variety of different activities, there is no common Innovation Ecosystem. Based on the analysis results, the Ecosystem Pie Model tool was used to create the ecosystem model concept. Research showed a huge potential for creating an innovation ecosystem. Therefore, Wrocław should aim to create a development policy framework that favors entrepreneurial innovation and will allow sustainable regional development.

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Smart Products value creation in SMEs innovation ecosystems

Cited by 104 publications

References 44 publications

Industry 4.0 collaborative networks for industrial performance

Industry 4.0 collaborative networks for industrial performance

Análise da utilização das tecnologias da Indústria 4.0 nos modelos de negócios de PMEs do setor metalmecânico

Analysis of the Local Innovation and Entrepreneurial System Structure Towards the ‘Wrocław Innovation Ecosystem’ Concept Development

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