Measuring strategic technological strength :Patent Portfolio Model

Li, Shuying; Xian, Zhang; Xu, Haiyun; Fang, Shu; Garces, Edwin; Daim, Tuğrul U.

doi:10.1016/j.techfore.2020.120119

Cited by 26 publications

(2 citation statements)

References 44 publications

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“…Patent portfolio analysis, including the identification of the underlying trends, portfolio structure and patent contents, is a powerful tool for the assessment of the technological strength of an industrial sector [10]. Insights into innovation trends and the technical feasibility of commercial devices based on the analysis of patent portfolios is already available in several emerging technological fields [11], for example, nano-sensors [12], fuel cell vehicles [13], new space missions [14] and blockchain technologies in the food supply chain [15].…”

Section: Introductionmentioning

confidence: 99%

Insights from a Patent Portfolio Analysis on Sensor Technologies for Measuring Fruit Properties

Kevrešan,

Mastilović,

Kukolj

et al. 2023

Horticulturae

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A patent portfolio focusing on sensors for the measurement of fruit properties was generated and analyzed with the aim of contributing to a better understanding of the trends in the development and application of sensors intended for measuring fruit properties and their changes. A patent portfolio of 189 patents, utility models and patent applications was formed. Three groups of patents were identified: (i) sensor-based measurement of individual parameters, (ii) multisensor solutions for the simultaneous monitoring of multiple relevant aspects and (iii) solutions integrating sensor-derived data with artificial intelligence tools and techniques. The analysis of the patent portfolio pointed out the main driving forces of technology strengthening in the field of fruit property measurement. The development of sensing technologies enables the real-time, rapid and cost-effective determination of ever-increasing and more sophisticated sets of fruit properties and environmental conditions. Solutions integrating different sensing technologies into multisensor systems for monitoring fruit quality, ripening or freshness as holistic concepts opens avenues for the introduction of a new approach to fresh produce management. Increasing numbers of solutions introducing the application of artificial intelligence tools such as computer vision, machine learning and deep learning into the fresh produce supply chain contribute to the possibilities of substituting human decision-making at points of relevance for fresh produce management with optimal evidence-based solutions.

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Section: Introductionmentioning

confidence: 99%

Insights from a Patent Portfolio Analysis on Sensor Technologies for Measuring Fruit Properties

Kevrešan,

Mastilović,

Kukolj

et al. 2023

Horticulturae

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“…The definition of structural technological inclusion refers to the involvement of medium-tech sectors of the regional economy in the industrialization process and the modernization of low-tech industries (Figure 1). As a result, various strategies for the development of technological sectors (different in terms of technology) of the economy are formed, which constitute the strategic vector of technological development of the region's economy as a whole [2].…”

Section: Introductionmentioning

confidence: 99%

Value Added as an Indicator of Effectiveness of Strategizing High-Tech Sector in Raw Material Region

Moskvina¹,

Филимоненко²,

Лихачева³

et al. 2022

Proceedings of the International Scientific and Practical Conference Strategy of Development of Regional Ecosystems “Education-

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The article examines the issues of structural technological inclusions characteristic of the raw material region and the way out of them due to various options for strategizing economic activity. The emphasis is made on the competitiveness of products of high-tech business and its ability to accumulate added value, which changes the intersectoral structural proportions in the economic system of the region. A sequence of research tasks was determined, including the formation of a portfolio of high-tech products in accordance with the demand for them in various product markets with a subsequent assessment of the effects of strategizing and the growth of added value in the high-tech sector and manufacturing industries in the region. The assessment of the competitiveness of high-tech products was made based on the systematization of information on the possibilities of entering the domestic and world markets by taking into account supply and demand in these markets. The selection criteria and the conditions for dividing into groups in terms of priorities were determined. This allows high-tech products to be grouped for promotion in various markets. Priority positioning schemes for high-tech products make it possible to designate their specific portfolios for promotion in the domestic market, including importsubstituting products, and in world commodity markets. Forecasting value added within the designated portfolios of high-tech products accumulates the effects of possible transformational changes in the structure of the region's economic system. The value-added strategy changes the technological structure of the manufacturing industry in the region, ensuring its high-quality growth and focus on innovative development.

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Technological diversification, technology portfolio properties, and R&D productivity

Yoo

Lee²

2022

J Technol Transf

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Measuring strategic technological strength :Patent Portfolio Model

Cited by 26 publications

References 44 publications

Insights from a Patent Portfolio Analysis on Sensor Technologies for Measuring Fruit Properties

Insights from a Patent Portfolio Analysis on Sensor Technologies for Measuring Fruit Properties

Value Added as an Indicator of Effectiveness of Strategizing High-Tech Sector in Raw Material Region

Technological diversification, technology portfolio properties, and R&D productivity

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