Investigating technology opportunities: the use of SAOx analysis

Kim, Kyuwoong; Park, Kyeongmin; Lee, Sungjoo

doi:10.1007/s11192-018-2962-9

Cited by 28 publications

(16 citation statements)

References 41 publications

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“…Among them, the patent map [ 69 ] and knowledge map [ 96 ] reflect the intricate information. Additionally, the TRIZ method [ 64 ] explains the laws and principles inherent in innovation, and the morphological analysis (MA) [ 75 ] method searches for original and practical solutions through morphological analysis.…”

Section: Resultsmentioning

confidence: 99%

A Review of Technological Forecasting from the Perspective of Complex Systems

Feng

Wang

et al. 2022

Entropy

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Technology forecasting (TF) is an important way to address technological innovation in fast-changing market environments and enhance the competitiveness of organizations in dynamic and complex environments. However, few studies have investigated the complex process problem of how to select the most appropriate forecasts for organizational characteristics. This paper attempts to fill this research gap by reviewing the TF literature based on a complex systems perspective. We first identify four contexts (technology opportunity identification, technology assessment, technology trend and evolutionary analysis, and others) involved in the systems of TF to indicate the research boundary of the system. Secondly, the four types of agents (field of analysis, object of analysis, data source, and approach) are explored to reveal the basic elements of the systems. Finally, the visualization of the interaction between multiple agents in full context and specific contexts is realized in the form of a network. The interaction relationship network illustrates how the subjects coordinate and cooperate to realize the TF context. Accordingly, we illustrate suggest five trends for future research: (1) refinement of the context; (2) optimization and expansion of the analysis field; (3) extension of the analysis object; (4) convergence and diversification of the data source; and (5) combination and optimization of the approach.

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Section: Resultsmentioning

confidence: 99%

A Review of Technological Forecasting from the Perspective of Complex Systems

Feng

Wang

et al. 2022

Entropy

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“…The SAO model aims to analyze text data into a subject-actionobject structure, by identifying the key concepts and relationships underlying the data [112]. According to extant studies, the SAO structure helps researchers to extract keywords and relationships from the data, as the SAO structure abstracts a large amount of text into a simple structure, where an action links two keywords [113], [114].…”

Section: Research Framework and Methods A Introduction Of Research Framework And Methodsmentioning

confidence: 99%

“…The SAO/P model proposed in this study, which is based on the SAO model, is used to organize concept maps based on the subjects (i.e., actors) in technology standardization. In general, the O in the SAO structure indicates the purpose of a subject's action [114]- [116]; however, when the SAO structure is used in patent analysis, then O represents the problems that needs to be solved by S, while S refers to the solutions [114]- [116]. Considering the possibility of utilizing the SAO structure in various ways, in this modification of the traditional SAO model, we divide O (motive of action/result of action) and P (problem to be solved by actor's action/difficulty related to action) to differentiate the roles depending on the context, such as the purpose of a subject's action or difficulties that need to be solved.…”

Section: Research Framework and Methods A Introduction Of Research Framework And Methodsmentioning

confidence: 99%

The Primary Actors of Technology Standardization in the Manufacturing Industry

Moon

Lee

2021

IEEE Access

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To date, discussions on standards and standards-related market issues have mainly been focused on market influence, such as a company's performance, trade, and technological innovation. Despite the fact that many studies have been conducted with a focus on technology standards, the ways in which primary actors of standards affect the market are yet to be fully investigated in extant studies. In this study, we investigate the primary actors in technology standardization by carrying out a systematic review and constructing a conceptual framework and concept maps of primary actors. Based on our analysis, we categorize primary actors, according to their roles and timing of engagement in standardization, as follows: Technology producers, standard-setters, regulators, and technology users. We illustrate each actor's detailed actions, motives, and difficulties with concept maps that are structured based on the SAO/P model, in order to elucidate why primary actors participate in standardization and how they act to achieve their goals or resolve difficulties. Based on our findings, we derive implications in terms of the strategic management of standardization activities in the manufacturing industry.

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“…The methods are bounded by complexity and randomness to discover technological opportunities. TRIZ inventive principles and engineering parameters, which are available tools for solving complicit problems, have been introduced to improve information accuracy and explore technology opportunities [22,23]. Nevertheless, due to the complexity of TRIZ, this study selects USIT, which is simplified from TRIZ and applicable for industry fields [24], and further reorganizes it to perform the function of guidelines for varying technology values in MA.…”

Section: Technology Opportunity Discoverymentioning

confidence: 99%

Discovering Technology Opportunity by Keyword-Based Patent Analysis: A Hybrid Approach of Morphology Analysis and USIT

et al. 2019

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As innovative technology is being developed at an accelerated rate, the identification of technology opportunities is especially critical for both companies and governments. Among various approaches to search for opportunities, one of the most frequently used is to discover technology opportunity from patent data. In line with it, this paper aims to propose a hybrid approach based on morphological analysis (MA) and unified structured inventive thinking (USIT) for technology opportunity discovery (TOD) through patent analysis using text mining and Word2Vec clustering analysis to explore the intrinsic links of innovation elements. A basic morphology matrix is constructed according to patent information and then is extended using the innovation algorithms that are reorganized from USIT. Technology opportunities are analyzed at two layers to generate new technical ideas. To illustrate the research process and validate its utility, this paper selects the technology of coalbed methane (CBM) extraction as a use case. This hybrid approach contributes by suggesting a semi-autonomous and systematic procedure to perform MA for TOD. By integrating the innovation algorithms, this approach improves the procedure of value extension in MA.

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Investigating technology opportunities: the use of SAOx analysis

Cited by 28 publications

References 41 publications

A Review of Technological Forecasting from the Perspective of Complex Systems

A Review of Technological Forecasting from the Perspective of Complex Systems

The Primary Actors of Technology Standardization in the Manufacturing Industry

Discovering Technology Opportunity by Keyword-Based Patent Analysis: A Hybrid Approach of Morphology Analysis and USIT

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