Enterprises' network structure and their technology standardization capability in Industry 4.0

Jiang, Hong; Sun, Shuyu; Xu, Hongtao; Zhao, Shukuan; Chen, Yong

doi:10.1002/sres.2716

Cited by 17 publications

(11 citation statements)

References 96 publications

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“…Due to the complexity of digital technology, dynamic capabilities are essential for companies to internalize their various resources into a competitive advantage in a highly volatile environment. In addition, during internalization, the institutional environment of the organization and the learning ability of individuals determine the extent of knowledge acquisition, which is relevant in terms of the firm's ability to develop its dynamics (Jiang et al 2020). The dynamic capabilities of companies with a high level of digital transformation maturity often provide strategic guidance to companies in terms of process, technology, organization, and transformation (Lin et al 2020).…”

Section: Cluster 2 (Blue): Digital Finance Innovation Dynamic Capabil...mentioning

confidence: 99%

Digital finance innovation in green manufacturing: a bibliometric approach

Chang

Zhang

Liu

2022

Environ Sci Pollut Res

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In the era of Industry 4.0, the innovative applications of the industrial internet of things continue to deepen, and the trend of digital transformation of the green manufacturing industry continues to expand. In this context, the study of digital finance innovation in green manufacturing enterprises is conducive to transforming and upgrading enterprises and national economic development. In order to review the theoretical foundations and the current state of research under this topic, this paper provides an overview of digital finance innovation in green manufacturing companies based on 296 papers published between 1900 and 2021 through bibliometric and scientific visualization methods. This paper uses HistCite to identify the most influential authors, institutions, and countries and uncover the lineage of research on digital finance innovation in green manufacturing companies. At the same time, VOSviewer is used to identify research hotspots and research clusters under the topic. Finally, on this basis, this paper classifies the types of digital innovation from the perspective of value creation. It proposes a theoretical framework for the realization path of digital finance innovation in green manufacturing enterprises based on intelligent servitization and orchestration capabilities. The findings of this paper enrich the existing innovation theory and facilitate scholars to conduct future research more effectively.

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Section: Cluster 2 (Blue): Digital Finance Innovation Dynamic Capabil...mentioning

confidence: 99%

Digital finance innovation in green manufacturing: a bibliometric approach

Chang

Zhang

Liu

2022

Environ Sci Pollut Res

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“…Dengan demikian, konteks Industri 4.0 dapat meningkatkan kompleksitas data yang dikelola di tingkat produksi dan memberikan masukan pengetahuan praktis. Jiang et al (2020) mengikuti arah ilmiah serupa, mengembangkan model untuk menyelidiki hubungan antara struktur jaringan perusahaan, kapasitas akuisisi informasi, dan kemampuan standarisasi teknologi. Selain itu, dengan beberapa studi kasus, Bordeleau et al (2020) juga mengeksplorasi faktor-faktor yang dapat meningkatkan pembelajaran perusahaan secara maksimal dan mengidentifikasi semua teknologi manufaktur yang berubah karena pengenalan Industri 4.0.…”

Section: Manajemen Pengetahuan Dan Teknologi Perbatasanunclassified

Manajemen Pengetahuan Dan Transformasi Digital Di Era Industri 4.0

Zuana

Sopiah²

2022

JIE

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This article is an overview of the Systematic Literature Review (SLR) on Knowledge Management (KM), Digital Transformation (DT), and Industry 4.0, which defines the interactions, bonds, and interdependencies of these new research streams. Playing an important role in a progressive discipline, our research summarizes the state of the art past literature using a rigorous methodological approach. The researchers adopted the Scopus database in their analysis and used the Bibliometrix R package. The analysis revealed 761 peer-reviewed English articles. This study shows several research clusters: KM and DT; KM and innovation ecosystem; KM and border technology; and KM, decision making, and Industry 4.0. In addition, this article contributes to identifying growing areas of research that have uncovered previously unknown and interesting relationships between KM, DT, and the public sector. Therefore, the article emphasizes the important role of DT in the development of KM,, discusses future research perspectives as quantitative analysis and combines academics and practitioners.

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“…In this study, MS (Brown et al , 2017; Borzillo, 2009) construct has been operationalized through observed variables, such as we have resources to support innovation (Francis and Bessant, 2005), we have resources to support technology acquisition (Jiang et al , 2020; Jones et al , 2001; Granstrand et al , 1992), we have resources to support technology development and we have resources to support technology indigenization (Husain et al , 2016).…”

Section: Conceptual Framework and Hypothesis Developmentmentioning

confidence: 99%

“…The prior research studies have explored the relationship among technology development process (Sharif, 1999), technology development capability (TDC) (Hsu and Fang, 2009; Golish et al , 2008; Rush et al , 2007), innovation capability (Wang and Dass, 2017; Zawislak et al , 2012), technology acquisition (Jiang et al , 2020; Jones et al , 2001; Granstrand et al , 1992), technology exploration and exploitation (Lichtenthaler, 2010; Rothaermel and Deeds, 2004). The prior research studies have also explored the way TDC affects firms’ ascent to a leadership position in their respective industry (Huang and Sharif, 2016; Jewell, 1998).…”

Section: Introductionmentioning

confidence: 99%

Impact of customer focus on technology leadership via technology development capability – a moderated mediation model

Husain

Dayan

Sushil

et al. 2021

JBIM

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Purpose This study aims to develop and empirically examine a model that investigates the mediating role of technology development capability (TDC) on the relationship between customer focus (CF) and technology leadership (TL). Design/methodology/approach The analysis and interpretation of a partial least square model include the following two stages: the first stage focuses on assessing the reliability and validity of the measurement model, while the second pertains to evaluating the structural model. Findings The general understanding prevailing in practice and literature is that management sponsorship (MS) has a positive impact on the relationship between CF and TDC. It is also generally understood that MS has a positive impact on TL initiatives. However, the findings of this study contradict these assumptions. Specifically, the study indicates that MS has a negative moderating effect on CF and technology development capabilities, and has no impact on CF and TL relationships. Originality/value CF, TDC and MS, and their interplay and impact in enhancing firms’ TL position, have not been explored thus far in an integrated manner in the context of the automobile industry in developing countries. The research relating to CF, technology development capabilities, technology innovation capabilities, MS and TL reported in the literature has drawn inferences from case studies, anecdotal evidence and experiences of industry leaders, experts and consultants. This study attempts to fill the gaps mentioned above by presenting and testing a new moderated mediation model that shows the relationship between CF, TDC, MS and TL.

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Enterprises' network structure and their technology standardization capability in Industry 4.0

Cited by 17 publications

References 96 publications

Digital finance innovation in green manufacturing: a bibliometric approach

Digital finance innovation in green manufacturing: a bibliometric approach

Manajemen Pengetahuan Dan Transformasi Digital Di Era Industri 4.0

Impact of customer focus on technology leadership via technology development capability – a moderated mediation model

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