Category Archives: Strategic planning

Patent Analysis of Shale Gas Technology in China and Implications for its Exploitation

China has made significant progress in developing new energy sources such as solar energy and wind power in recent decades. However, commercial exploitation of shale gas in China is in the very early stages, in sharp contrast to that in the United States. Patents related to shale gas exploitation are analyzed by using data mining and patent maps. The findings show that shale gas exploitation involves complex technologies that technological accumulation is a long-term process. Despite decades of rapid growth, significant technology gaps still exist for Chinese enterprises and technological factors could be the bottleneck of China’s exploitation of its massive shale gas resources. Meanwhile, foreign enterprises have applied for a large number of patents in China. Chinese enterprises might have to obtain licenses from foreign patent holders, which could have important implications for shale gas exploitation in China.

Author(s): Mier Zhang, Wei Guo and Zhen Lei
Organization(s): Dalian University of Technology and Pennsylvania State University
Source: Energy Technology
Year: 2014

Digging for gold with a simple tool: Validating text mining in studying electronic word-of-mouth (eWOM) communication

Text-based electronic word-of-mouth (eWOM) communication has increasingly become an important channel for consumers to exchange information about products and services. How to effectively utilize the enormous amount of text information poses a great challenge to marketing researchers and practitioners. This study takes an initial step to investigate the validities and usefulness of text mining, a promising approach in generating valuable information from eWOM communication. Bilateral data were collected from both eWOM senders and readers via two web-based surveys. Results provide initial evidence for the validity and utility of text mining and demonstrate that the linguistic indicators generated by text analysis are predictive of eWOM communicators’ attitudes toward a product or service. Text analysis indicators (e.g., Negations and Money) can explain additional variance in eWOM communicators’ attitudes above and beyond the star ratings and may become a promising supplement to the widely used star ratings as indicators of eWOM valence.

Author(s): Chuanyi Tang and Lin Guo
Organization(s): Old Dominion University and University of New Hampshire
Source: Marketing Letters
Year: 2013

http://link.springer.com/article/10.1007/s11002-013-9268-8

The Contribution of Information Science through Intellectual Property to Innovation in the Brazilian Health Sector

In response to the challenges of the 21st century, emerging countries have played an increasingly leading role in the global economy, and public health has been a notable feature of the government agendas in these countries. According to the IMF, Brazil is one of the countries with the greatest potential to stand out in this context. The quantity of research and development into technologies for drugs and medications is important for supporting innovation in the health sector. Information science can therefore help considerably in the analysis of patents, indicating trends, revealing opportunities for investors, and assisting the decision-taking process by private sector managers and government agents. This study is based on the extraction of valuable information contained in the hidden Web through technology foresight of products deemed strategic by the Brazilian Ministry of Heath, which are the target of public policies and investments by the state for domestic production.

Author(s): Adelaide Maria de Souza Antunes, Suzanne de Oliveira Rodrigues Schumacher, Flavia Maria Lins Mendes, Luc Quoniam, and Jorge Lima de Magalhães
Organization(s): National Institute of Industrial Property (INPI),
Brazil & Federal University of Rio de Janeiro
(UFRJ), Aix-Marseille Université
Source: Rethinking the conceptual base for new practical applications in information value and quality (IGI Book series Advances in Information Quality and Management)
Year: 2014

https://vpinstitute.org/the-contribution-of-information-science-through-intellectual-property-to-innovation-in-the-brazilian-health-sector/

A hybrid visualisation model for technology roadmapping: bibliometrics, qualitative methodology and empirical study

Technology roadmapping offers a flexible instrument to portray development status in support of technology forecasting and assessment. This paper integrates bibliometrics with qualitative methodologies and visualisation techniques to construct a hybrid model for composing technology roadmaps. Continue reading A hybrid visualisation model for technology roadmapping: bibliometrics, qualitative methodology and empirical study

Technology life cycle analysis method based on patent documents

To estimate the future development of one technology and make decisions whether to invest in it or not, one needs to know the current stage of its technology life cycle (TLC). The dominant approach to analyzing TLC uses the S-curve to observe patent applications over time. But using the patent application counts alone to represent the development of technology oversimplifies the situation. In this paper, we build a model to calculate the TLC for an object technology based on multiple patent-related indicators. Continue reading Technology life cycle analysis method based on patent documents

Assessment of Non-Financial Criteria in the Selection of Investment Projects for Seed Capital Funding: the Contribution of Scientometrics and Patentometrics

The aim of this article is to assess the potential of using scientometric and patentometric indicators as a way of instrumentalizing the selection process of projects for seed capital funding. Continue reading Assessment of Non-Financial Criteria in the Selection of Investment Projects for Seed Capital Funding: the Contribution of Scientometrics and Patentometrics

Discovering the professional communities and social networks of emerging research areas: Use of technology intelligence from bibliometric and text mining analysis

This study focuses on applying technology intelligence to discover the professional communities and social networks of biomedical engineering (BME) field in Thailand. Continue reading Discovering the professional communities and social networks of emerging research areas: Use of technology intelligence from bibliometric and text mining analysis

Technology trends analysis and forecasting application based on decision tree and statistical feature analysis

Analyzing mass information and supporting foresight are very important task but they are extremely time-consuming work. In addition, information analysis and forecasting about the science and technology are also very critical tasks for researchers, government officers, businessman, etc. Some related studies recently have been executed and semi-automatic tools have been developed actively. Continue reading Technology trends analysis and forecasting application based on decision tree and statistical feature analysis

Design of TOD Model for Information Analysis and Future Prediction

Analyzing mass information and supporting insight based on analysis results are very important work but it needs much effort and time. Information analysis and future prediction about science and IT filed data are also very critical tasks for researchers, government officers, businessman, etc. Therefore, in this paper, we propose technology opportunity discovery (TOD) model based on feature selection and decision making for effective, systematic, and objective information analysis and future forecasting of science and IT field. Continue reading Design of TOD Model for Information Analysis and Future Prediction