Selection of Information Sources for Identifying Technology Trends: A Comparative Analysis

Mikova, Nadezhda; Соколова, Анна

doi:10.2139/ssrn.2391727

Cited by 8 publications

(6 citation statements)

References 33 publications

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“…The audiences for tech mining follow a structure similar to that of corporate R&D, but with a stronger focus on funding and strategy. Data sources are selected, and the inclusion criteria used reflect those audiences and purposes, with tech mining pulling data largely from the patent and engineering and technical databases, while systematic reviews extract data from a variety of health, life science, and social science databases, depending on the specific topic . Both of these bibliometric methods appropriately focus on data sources that match the domain of the question and target audience.…”

Section: Discussionmentioning

confidence: 99%

“…Tech mining is one of the most crisply defined methodologies in this area and uses techniques closely related to systematic review methods. Other terms and methodologies used for these activities include competitive technical intelligence, disruptive or emerging technologies forecasting or foresight, forecasting and foresight technologies, horizon scanning, monitoring for anticipation, patent landscape reports, persistent forecasting, prediction horizon, technology futures or monitoring or roadmapping, and others …”

Section: Introductionmentioning

confidence: 99%

“…Other terms and methodologies used for these activities include competitive technical intelligence, disruptive or emerging technologies forecasting or foresight, forecasting and foresight technologies, horizon scanning, monitoring for anticipation, patent landscape reports, persistent forecasting, prediction horizon, technology futures or monitoring or roadmapping, and others. [7][8][9][10][11][12][13] 2 | CASE STUDY: IDENTIFYING EMERGING TECHNOLOGIES RELEVANT TO HEALTH SCIENCES LIBRARIANS This is the first article of the project, focusing on methodologic context. We intend to write subsequent articles on phases 1 to 3.…”

Section: Introductionmentioning

confidence: 99%

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Systematic reviews and tech mining: A methodological comparison with case study

Anderson

Shannon

Bickett

et al. 2018

Research Synthesis Methods

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When the Medical Library Association identified questions critical for the future of the profession, it assigned groups to use systematic reviews to find the answers to these questions. Group 6, whose question was on emerging technologies, recognized early on that the systematic review process would not work well for this question, which looks forward to predict future trends, whereas the systematic review process looks back in time. We searched for new methodologies that were more appropriate to our question, developing a process that combined systematic review, text mining, and visualization techniques. We then discovered tech mining, which is very similar to the process we had created. In this paper, we describe our research design and compare tech mining and systematic review methodologies. There are similarities and differences in each process: Both use a defined research question, deliberate database selection, careful and iterative search strategy development, broad data collection, and thoughtful data analysis. However, the focus of the research differs significantly, with systematic reviews looking to the past and tech mining mainly to the future. Our comparison demonstrates that each process can be enhanced from a purposeful consideration of the procedures of the other. Tech mining would benefit from the inclusion of a librarian on their research team and a greater attention to standards and collaboration in the research project. Systematic reviews would gain from the use of tech mining tools to enrich their data analysis and corporate management communication techniques to promote the adoption of their findings.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Systematic reviews and tech mining: A methodological comparison with case study

Anderson

Shannon

Bickett

et al. 2018

Research Synthesis Methods

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“…Technology assessment, forecasting its development and foresight studies form the basis of FTA; hence, these approaches show great consistency in terms of methodology. However, taking into account the studies conducted by Andersen, Alkaersig (2014) and Mikova, Sokolova (2014), these approaches are not the same. Each of these projects plays completely separate role and very often they complement one another.…”

Section: The Current Classification Of Methods Used In Fta -A Literatmentioning

confidence: 99%

Innovative Classification of Methods of the Future-Oriented Technology Analysis

Halicka

2016

Technological and Economic Development of Economy

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Abstract. In the era characterized by significant dynamics of the environment traditional methods of anticipating the future, assuming the immutability of the factors affecting the forecasted phenomenon, may be in the long term ineffective. The modern approach of predicting the future of technology, taking into account the multidimensionality of the environment, is, among other things, the Future-Oriented Technology Analysis (FTA). Designing the FTA research procedure is a complex process, both in organizational and methodological terms. The catalogue of methods that can be used in this process is extensive and constantly open. However, in the source literature the rules for the selection of methods appropriate for the type of research were not specified. The ways of combining methods in the research process were also missing. The main aim of this article was to present the author's classification of methods of future-oriented technology analysis and indicate the possibilities of its application. In the text, using statistical methods and artificial neural networks, the classification of methods with the potential of exploitation in prospective technology analysis was carried out. Each of the received classes was analysed, the characteristics of particular groups of methods were selected, and authorial names characterizing the given classes were chosen. According to the author, the application of the proposed classification of methods of future-oriented technology analysis facilitates the design of the FTA research process. It will contribute to the systematization and standardization of the manner of selection of research methods. It will also allow for the selection of complementary methods.

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“…On the Stage 2 (quantitative approach), quantitative analysis of the trends comprises three main steps proposed by Mikova and Sokolova (2014): data collecting, data processing, and data mapping.…”

Section: Methodsmentioning

confidence: 99%

Climate Change and Our Future: Anticipating Trends and Challenges Using Media Data

Mikova

2016

SSRN Journal

Self Cite

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This paper proposes a multidisciplinary approach to understanding the future perspectives of climate change. First, it analyzes the possibilities of using the media as an information source for anticipating trends and challenges in this area through exploring the topics that have been actively discussed in the news in the recent 5 years. Second, qualitative and quantitative approaches are combined in this study in order to identify trends of different categories: social, technological, economic, environmental, political and values/culture. It allows integrating the results of trends monitoring obtained from qualitative and quantitative sources and create a complex map of trends. Qualitative approach is based on the literature review and consultations with the experts, while quantitative analysis includes collecting the news from Factiva database and processing it in Vantage Point software using bibliometric analysis, natural language processing, statistical analysis and principal component analysis. The results shown that 58% of trends were validated by the news and its contribution to the final trends list accounts for 25% on average, which means that the media can be considered as a useful additional data source for validating and updating trends. The results of this multidisciplinary study can be of interest to researchers, economists, business representatives and policy makers that are involved in the climate change related activities. JEL Classification: O33.

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Selection of Information Sources for Identifying Technology Trends: A Comparative Analysis

Cited by 8 publications

References 33 publications

Systematic reviews and tech mining: A methodological comparison with case study

Systematic reviews and tech mining: A methodological comparison with case study

Innovative Classification of Methods of the Future-Oriented Technology Analysis

Climate Change and Our Future: Anticipating Trends and Challenges Using Media Data

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