A Self‐Tuning Model for Smart Manufacturing SMEs: Effects on Digital Innovation

Giudice, Manlio Del; Scuotto, Veronica; Papa, Armando; Tarba, Shlomo; Bresciani, Stefano; Warkentin, Merrill

doi:10.1111/jpim.12560

Cited by 186 publications

(135 citation statements)

References 177 publications

(216 reference statements)

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“…Italy is the country with the second most contributions in this field of study (57) and with the collaboration of researchers Alberto Di Minin (Sant'Anna Scuola Universitaria Superiore Pisa), Gabriele Santoro (Università degli Studi di Torino) and Manlio Del Giudice (Sapienza Università di Roma), who present studies focused on the innovation of digital technologies [166,[168][169][170] and open innovation practices of SMEs [3,171]. Spain is the country with the third most contributions (31).…”

Section: Featured Authors (Rq2)mentioning

confidence: 99%

Worldwide Research on Open Innovation in SMEs

Sabando-Vera

Yonfá-Medranda

Montalván-Burbano

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

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Research on open innovation (OI) has increased in recent years, showing its potential in various areas of knowledge. Its relation to small and medium-sized enterprises has attracted the attention of academics. This article aims to evaluate the intellectual structure of the scientific study of OI, and its close relationship with various scientific fields, through a bibliometric analysis of this academic field using the Scopus database and the application of the VOSviewer software. The methodology comprises a rigorous systematic and transparent process divided into four phases: (i) the establishment of search criteria for the research field, through a literature review for its selection; (ii) the selection of the database, the establishment of the search equation and extraction of information; (iii) the application of inclusion and exclusion criteria for the selected documents and an explanation of the usefulness of the software; and (iv) the analysis of the results through the approaches of scientific output performance and bibliometric mapping. The results show an increasing trend of IO publications in SMEs, consolidated in 396 articles with contributions from 65 countries and 947 authors. The intellectual structure shows seven themes related to firm performance, R&D networks, business management, business models, capabilities and knowledge transfer. This study contributes to the field by providing an overview of IO in SME contexts. It also provides insightful information to policymakers for developing policies for firm economic growth.

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Section: Featured Authors (Rq2)mentioning

confidence: 99%

Worldwide Research on Open Innovation in SMEs

Sabando-Vera

Yonfá-Medranda

Montalván-Burbano

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

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show abstract

“…e theory and practice of statistics tell us that the connotation of everything comes from its essential properties, and the revelation of its essential properties comes from the data and information mining that portray its appearance [18]. erefore, in the face of such a complex research topic as the qualitative study of the factors influencing college students' entrepreneurial ability, the key to achieving the purpose of the study is the way to collect data and to reprocess the data on this basis to obtain the most reliable information.…”

Section: Quantitative Design Of University Students' Employability and Entrepreneurshipmentioning

confidence: 99%

A Quantitative Enhancement Mechanism of University Students’ Employability and Entrepreneurship Based on Deep Learning in the Context of the Digital Era

Meng

Ren

Huang

2021

Scientific Programming

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This paper adopts a deep learning approach to analyze and study the mechanism of quantitative enhancement of college students’ employment and entrepreneurial abilities in the context of the digital era. The deep learning connotation is predetermined as five abilities, which are metacognitive ability, active communication and cooperation ability, deep processing ability, creative practice ability, and learning empathy experience, and, based on this, the deep learning questionnaire is designed, and it is reclassified by exploratory factor analysis to reduce the dimensionality, and the specific indicators and scientific connotation dimensions of the deep learning questionnaire are determined; and, through the deep learning of each dimension, the problems of deep learning of college students are examined and in-depth analysis is conducted, and the inner relationship and correlation among the dimensions of deep learning of college students are derived through correlation analysis. The success of innovation and entrepreneurship depends on the innovation and entrepreneurial ability of college students, and the formation of the ability influenced various factors. Therefore, not only is studying the influencing factors of college students’ innovation and entrepreneurship ability in line with the requirements of the times and social development, but also it can solve real problems. This thesis adopts a combination of two methods, qualitative research and quantitative research, to study the influencing factors of college students’ innovation and entrepreneurship ability and tries to ensure the scientificity, accuracy, and comprehensiveness of the conclusion. In this paper, we analyzed the requirements of the employment prediction system for graduating secondary school students, carried out the software framework and database design of the employment analysis and prediction system for secondary school students, and designed the system modularly based on the analysis results. By applying the proposed deep feedforward neural network prediction model to the prediction system, a software system applicable to the employment prediction and guidance of secondary school students is implemented.

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“…The researchers who consider agility as a prerequisite or driver conclude in their findings that Industry 4.0 ecosystem will bring enormous changes into the organization with respect to the work-setting, management, culture and dealing with customers and suppliers. The existing or traditional structure of organizations will be obsolete and incompatible with the Industry 4.0 ecosystem [63][64][65]. Therefore, for smooth operation and working of I4.0 technologies, some necessary changes in work-setting, management and culture are required by the organization.…”

Section: Agility As a Drivermentioning

confidence: 99%

Organizational Agility in Industry 4.0: A Systematic Literature Review

Mrugalska

Ahmed

2021

Sustainability

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Agility is the dynamic capability of an organization which helps it to manage a change and uncertainties in the environment. The purpose of this research is to review the literature from the perspective of agility in Industry 4.0. This paper systematically reviews 381 relevant articles from peer-reviewed academic journals in the period of the last five years. The results show that agility is important for an organization to adopt Industry 4.0 technologies as it helps companies to cope with the changes that arise along with the adoption of Industry 4.0 technologies. Further, it also indicates that by adopting Industry 4.0 technologies, companies can significantly enhance their agility capability into various aspects with different technologies. The technologies which enhance the agility are: smart manufacturing, internet of things, cyber-physical system, big data and analytics and cloud computing. On the other hand, important aspects of agility include supply chain, workforce, information system, facilities, management, manufacturing and technology agility.

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A Self‐Tuning Model for Smart Manufacturing SMEs: Effects on Digital Innovation

Cited by 186 publications

References 177 publications

Worldwide Research on Open Innovation in SMEs

Worldwide Research on Open Innovation in SMEs

A Quantitative Enhancement Mechanism of University Students’ Employability and Entrepreneurship Based on Deep Learning in the Context of the Digital Era

Organizational Agility in Industry 4.0: A Systematic Literature Review

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