Exploring the domain of open innovation: Bibliometric and content analyses

Hui, Gao; Ding, Xingcheng; Wu, Suming

doi:10.1016/j.jclepro.2020.122580

Cited by 84 publications

(80 citation statements)

References 103 publications

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“…Thomé et al (2020) used the method to determine and illustrate the co-occurrence conceptual framework of food SCs and short food SCs, at odds with the current divergence of the literature approaches. Based on text mining to classify constructive information in textual data ( Zanjirchi et al, 2019 ), content analysis is an essential step to assess a high volume of data in a structured and systematic approach by precisely capture relevant information to identify valuable topics, methods and themes with manual approaches( Gao et al, 2020 ; Kazemi et al, 2019 ).…”

Section: Data Collection and Methodologymentioning

confidence: 99%

“…A hybrid method based on content and bibliometric analyses, the fuzzy Delphi method (FDM), the entropy weight method (EWM) and fuzzy decision-making trial and evaluation laboratory (DEMATEL) is used. Content and bibliometric analyses is to identify the SSCM indicators based on publications data in the Scopus database ( Gao et al, 2020 ; Shukla et al, 2019 ). FDM is applied to identify valid indicators from the experts’ linguistic perception ( Bui et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

198

119

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Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.

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Section: Data Collection and Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

198

119

View full text Add to dashboard Cite

show abstract

“…Using a purple circle for this type of literature (or authors, journals, and institutions) to highlight the key points, nodes whose betweenness centrality exceeds 0.1 are called key nodes, which may lead to breakthrough discoveries. Nodes between groups will attract more attention because they are more likely to lead to new trends (Gao et al 2020 ).…”

Section: Methods and Data Sourcesmentioning

confidence: 99%

“…Keywords contain the core information of an article (Wang and Su 2020a ). Keyword analysis can identify valuable information in each document and reveal research hotspots in a particular field (Gao et al 2020 ). Due to the suddenness of the epidemic, research on the COVID-19 and environment is still in the development stage.…”

Section: Challenges and Solutionsmentioning

confidence: 99%

Can COVID-19 and environmental research in developing countries support these countries to meet the environmental challenges induced by the pandemic?

Wang

Zhang

2021

Environ Sci Pollut Res

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Meeting the huge impact of COVID-19 on the environment requires better research on pandemic and pollution. What is the research capacity of the COVID-19 and environment in developing countries? Can this research capacity support developing countries to deal with the environmental challenges induced by the pandemic? This work is addressed to comprehensively assess the research capacity of the COVID-19 and environment in developing countries using bibliometric analysis techniques and content analysis approach to mining the Web of Science database. The results of data mining were unexpected: the global leader of the COVID-19 and environmental research was not these developed countries, but these developing countries so far, the end of 2020. Developing countries have published more papers on the pandemic and environment than developed countries, and developing countries also dominate pandemic and environmental research in terms of research institutions and authors. The results showed that (i) the impact of COVID-19 and the environment was bidirectional; (ii) energy consumption has posed great impact on environment; (iii) application of big data and artificial intelligence played an important role in improving environmental quality during the COVID-19 pandemic. Finally, policy recommendations such as formulating relevant policies and environmental standards, strengthening international exchanges and cooperation, and adjusting and improving energy consumption structure that were put forward for developing countries to meet the environmental challenges induced by the pandemic were offered. Graphical abstract

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“…The literature points to the relevance of external partners for achieving sustainability performance [4] and open innovation seem to be predestined to be a practice that can lead to increased success [5]. Defined as "a distributed innovation process based on purposively managed knowledge flows across organizational and sectoral boundaries using pecuniary or nonpecuniary mechanisms" [6], open innovation is currently a broadly debated paradigm [7]. Researchers point to several game-changing benefits associated with the open innovation approach for companies.…”

Section: Introductionmentioning

confidence: 99%

Sustainability of Cluster Organizations as Open Innovation Intermediaries

2020

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The purpose of the paper is to identify the most important open innovation practices used by cluster organizations (COs). To reflect these practices, the paper uses the concept of the trajectory of relationship development in COs, applied in the Interizon cluster organization. Additionally, this paper introduces the potential sustainability-related implications of open innovation adoption in cluster organizations. An in-depth direct interview and secondary data analysis were the basic techniques used for data collection. The study demonstrates that cluster organizations can play the role of open innovation intermediaries, implementing a set of different open innovation practices, depending on the level of advancement of cluster cooperation. The use of these practices leads to the development of ever stronger relationships between cluster members, thus conditioning access to the increasingly valuable resources of information and knowledge which are most relevant for the future sustainability-pursuing context. The good effects of multidimensional cooperation in the studied cluster organization prompted the authors to formulate a recommendation for sustainable diversity in the CO. The research goes beyond the state-of-the-art knowledge in the concept of industrial clusters by exposing a broader view on cooperation developed within cluster organizations. The study links the issue of clustering with the concept of open innovation, shedding new light on the processes of supporting knowledge and information flows in COs. Additionally, it contributes to developing a broader comprehension of the context dependencies of open innovation for potential sustainable innovation.

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Exploring the domain of open innovation: Bibliometric and content analyses

Cited by 84 publications

References 103 publications

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Can COVID-19 and environmental research in developing countries support these countries to meet the environmental challenges induced by the pandemic?

Sustainability of Cluster Organizations as Open Innovation Intermediaries

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