Reviewing the Domain of Technology and Innovation Management: A Visualizing Bibliometric Analysis

Ding, Xingcheng; Liu, Ruihong; He, Yuanqiong; Wu, Suming

doi:10.1177/2158244019854644

Cited by 19 publications

(26 citation statements)

References 48 publications

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“…Citation data is available for a wide range of publications on ISI Web's most renowned science academic database, the WoS was suitable for this as one of the main purposes of interdisciplinary literary research and many important bibliometric studies have used this database before (Fetscherin & Usunier, 2012). The WoS database provides extensive coverage of the social sciences, and arts and humanities have previously been used in a wide range of bibliographic research (Danvila-del-Valle et al, 2019;Gurzki & Woisetschläger, 2017;Huang et al, 2019;Mulet-Forteza et al, 2019).…”

Section: Data Source and Proceduresmentioning

confidence: 99%

A bibliometric study of sustainable technology research

Akbari

Khodayari

Danesh

et al. 2020

Cogent Business & Management

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Sustainable technology is a rather new subject in sustainability which is paying academics' attention recently. This article provides a bibliometric review of sustainable technology studies in the sustainability area. Data from the Web of Science (WoS), database relating to 1122 publications available between 1970 and 2019 is used. Numerous bibliometric methods are used to do this indication. The VOSviewer software is used to graph the bibliographic documents. The findings revealed that publications around this area have been enhanced considerably in the last decade and the USA is the most dominant country. Furthermore, the co-citation network of references revealed five clusters; the competitive advantage of environmental innovation, the development of sustainable technologies, environmental policy tools, undesirable output solutions, and innovative environmental activities.

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Section: Data Source and Proceduresmentioning

confidence: 99%

A bibliometric study of sustainable technology research

Akbari

Khodayari

Danesh

et al. 2020

Cogent Business & Management

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show abstract

“…Such maps allow several aspects of a scientific field to be monitored (Noyons et al, 1999; Su et al, 2019), providing a clearer view of the results obtained (Merigó et al, 2016). Keyword co-occurrence refers to the most common keywords used to develop a research field or a scientific document (Callon et al, 1983; Ding et al, 2001; Huang et al, 2019; McCain, 1986, 1991; Zhang et al, 2019), while co-citation assumes that there is some kind of association between two documents jointly cited by a different third one (Boyack & Klavans, 2014; Hoque et al, 2021; McCain, 1990; Ramos-Rodríguez & Ruíz-Navarro, 2004; Small, 1973).…”

Section: Methodsmentioning

confidence: 99%

“…Bibliometrics entails the quantification of academic production based on certain classifications that project indirect indications on its perception (Huang et al, 2019). Multiple definitions of the term exist, although the modern version is usually attributed to Alan Pritchard.…”

Section: Bibliometrics and Social Network Analysismentioning

confidence: 99%

“The Statistical Analysis of Compositional Data” by John Aitchison (1986): A Bibliometric Overview

2022

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This paper presents a complete bibliometric analysis of Aitchison’s 1986 seminal book “The Statistical Analysis of Compositional Data.” We have set three objectives. The first is to analyze the academic structure of Aitchison’s 1986 book. Results reveals that although the work has received citations uninterruptedly since its publication, the number of these has increased very significantly over the past 4 years. This is due to the significant increase in the number of publications on the theme of “Compositional Data Analysis” in fields related to “geoscience” over the last few years. The second objective is to determine which main journals Aitchison’s book has been cited in. The results highlight that the main journals are indexed under the following WoS category: “Geosciences, Multidisciplinary” and “Ecology.” Of these, “Mathematical Geosciences” and “Computers, Geosciences” stand out. The third objective is to determine the main topics analyzed in the principal papers published by authors citing Aitchison’s book. Our results show that the keywords in the main papers to have cited Aitchison’s 1986 book originate from the geoscience field, since many of them are related to concepts directly linked to this field and refer to terms related to “biodiversity,” “geodiversity,” “geoheritage,” and “georesources.” Lastly, the analysis shows how the CoDA methodology is now in a phase of exponential growth, expanding to other fields. This implies that geoscience is becoming consolidated in the scientific literature as one of the branches of modern science that has given rise to a new mathematical theory of great impact.

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“…The advantage of VOSviewer is that it can be employed to process big bibliographic data sets. It is particularly useful for analysing large numbers of bibliographic objects (over a hundred items) [9][10][11][12]. The smart processing of scientific databases normalizes the links between the keywords so as to create maps [12our results showed that a comprehensive bibliometric and visualization investigation was required.…”

Section: Methodsmentioning

confidence: 99%

How Patents Influence Market Value of Industrial Enterprises' Assets?

Dementev¹

2021

КФ

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Scientists and engineers are continuously patenting innovative ideas such as inventions, industrial designs, and utility models. It is therefore relevant to pose the question of the influence of intellectual property in the field of innovative technologies on the market value of the assets of industrial enterprises. We analyse the dependence of the results of intellectual activity in the field of advanced technologies on the capitalization of innovative industrial production after the adoption of the developed technologies. We consider patent landscapes, analyse research publications, and study the dependence of financial indicators on the results of intellectual activity at enterprises producing computers, optics and electronic equipment. Our research methodology is based on the statistical analysis of the dependence of the financial results of industrial enterprises on the actual application of the results of intellectual activity to the technological process. We define the object of analysis by citing research articles and surveys from the WoS database. The patent landscape is assessed using data from commercial information systems such as Orbit Intelligence (Questel) and Amadeus (Bureau van Dijk, Moody’s Analytics) that make it possible to visually show the links between patent activity and technological trends in the computer and electronic technology industries. The research results shall be useful for assessing the effectiveness of employing patents in manufacturing and the prospects of improving production technologies for the formation of corporate innovative technological policy. We conclude that the use of information on patent trends is an effective tool for increasing the competitiveness of enterprises producing electronic equipment. The priority financing of innovative technologies ensures the sustainable development of the manufacturing industry and have a positive impact on the profitability of enterprise assets.

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Reviewing the Domain of Technology and Innovation Management: A Visualizing Bibliometric Analysis

Cited by 19 publications

References 48 publications

A bibliometric study of sustainable technology research

A bibliometric study of sustainable technology research

“The Statistical Analysis of Compositional Data” by John Aitchison (1986): A Bibliometric Overview

How Patents Influence Market Value of Industrial Enterprises' Assets?

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