A topic-based patent analytics approach for exploring technological trends in smart manufacturing

Wang, Juite; Hsu, Chia-Fu

doi:10.1108/jmtm-03-2020-0106

Cited by 38 publications

(15 citation statements)

References 57 publications

(90 reference statements)

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“…e fourth clustering theme is topic modeling, and the main keywords include topic modeling, latent Dirichlet allocation, big data, text analytics, online reviews, etc. Related papers focus on the application of using the Latent Dirichlet Allocation (LDA) topic model in mining hidden topics in some common texts, such as online reviews [51], patent data [52], and research papers [53].…”

Section: Conceptual Structurementioning

confidence: 99%

Text Mining in Management Research: A Bibliometric Analysis

Song

Wang

2021

Security and Communication Networks

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The goal of this paper is to provide a bibliometric analysis of scientific publications that employ text mining in management. To accomplish this, the authors collected 1282 documents from the Web of Science and performed performance analysis and science mapping with the help of the Bibliometrix package in Rstudio. The performance analysis used a range of bibliometric indicators such as productivity, citations, h-index, and m-quotient, in order to identify research trends and the most influential journals, authors, countries, and literature in the study. Science mapping used author keywords co-occurrence, co-authorship, and co-citation analysis to reflect the conceptual, social, and intellectual structure of the research. Specifically, we have seen an exponential increase in the use of text mining in management in recent years. The United States is the dominant country for research, having the earliest studies and the highest number of literature and citations. Furthermore, the research themes showed that topic modeling is at the forefront of current text mining research about management. This study will help scholars and management practitioners interested in the intersection of text mining and management to quickly understand the latest advances in research.

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Section: Conceptual Structurementioning

confidence: 99%

Text Mining in Management Research: A Bibliometric Analysis

Song

Wang

2021

Security and Communication Networks

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“…Additionally, there is growing interest in how the adoption of Industry 4.0 technologies can improve knowledge acquisition and coordination management in GVCs (Strange and Zucchella, 2017; Szalavetz, 2019). It is therefore of practical and academic relevance to explore the potential impact of Industry 4.0 technologies in designing and managing global value creation networks (Wang and Hsu, 2021) allowing to optimize individual buyer–supplier communication and coordination as well as entire value chains (Veile et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

Global value chain breadth and firm productivity: the enhancing effect of Industry 4.0

Opazo‐Basáez

Vendrell‐Herrero

Bustinza

et al. 2021

JMTM

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PurposeGlobal value chains (GVC) incorporate internationally fragmented sources of knowledge so as to increase global competitiveness and performance. This paper sheds light on the role of Industry 4.0 technological capabilities in facilitating knowledge access from international linkages and improving firm productivity.Design/methodology/approachDrawing on organizational learning research, the present study argues that the relationship between GVC breadth, analyzed in respect to the geographical fragmentation of production facilities and productivity follows an inverted U-shaped pattern that can be explained by the interplay between external knowledge access and the coordination costs associated with GVC breadth. We test our predictions using a purpose-built survey that was carried out among a sample of 426 Spanish manufacturing firms.FindingsOur results indicate that organizations adhering to a traditional manufacturing system are able to benefit from fewer transnational relationships (concretely 11 foreign facilities) in the search for productivity improvements. This can be largely attributed to the marginal value of the knowledge accessed and the costs of coordinating international counterparts' production and knowledge transfer. However, our study reveals that the adoption of Industry 4.0 technologies has the potential to broaden optimal GVC breadth, in terms of the number of linkages to interrelate with (concretely 131 foreign facilities) so as to obtain productivity gains while mitigating the complexities associated with coordination.Originality/valueThe study unveils that Industry 4.0 technologies enable management of broader GVC breadth, facilitating knowledge access and counteracting coordination costs from international counterparts.

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“…Startups in these classes offer services along the entire value chain. In line with Wang and Hsu ( 2021 ), startups in smart manufacturing integrate “production, warehouses, logistics, and even environmental and social requirements to create the digitization of the automated manufacturing environment.” They establish global value creation networks with efficiency and productivity improvements among firms across the whole value chains. For example, Sense Photonics is one such company.…”

Section: Resultsmentioning

confidence: 76%

Topic-based classification and identification of global trends for startup companies

2022

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To foresee global economic trends, one needs to understand the present startup companies that soon may become new market leaders. In this paper, we explore textual descriptions of more than 250 thousand startups in the Crunchbase database. We analyze the 2009–2019 period by using topic modeling. We propose a novel classification of startup companies free from expert bias that contains 38 topics and quantifies the weight of each of these topics for all the startups. Taking the year of establishment and geographical location of the startups into account, we measure which topics were increasing or decreasing their share over time, and which of them were predominantly present in Europe, North America, or other regions. We find that the share of startups focused on data analytics, social platforms, and financial transfers, and time management has risen, while an opposite trend is observed for mobile gaming, online news, and online social networks as well as legal and professional services. We also identify strong regional differences in topic distribution, suggesting certain concentration of the startups. For example, sustainable agriculture is presented stronger in South America and Africa, while pharmaceutics, in North America and Europe. Furthermore, we explore which pairs of topics tend to co-occur more often together, quantify how multisectoral the startups are, and which startup classes attract more investments. Finally, we compare our classification to the one existing in the Crunchbase database, demonstrating how we improve it.

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A topic-based patent analytics approach for exploring technological trends in smart manufacturing

Cited by 38 publications

References 57 publications

Text Mining in Management Research: A Bibliometric Analysis

Text Mining in Management Research: A Bibliometric Analysis

Global value chain breadth and firm productivity: the enhancing effect of Industry 4.0

Topic-based classification and identification of global trends for startup companies

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