Investigating Knowledge Structure and Future Directions in IT-Based Business Methods Using Hierarchical Main Path Approach
Business method (BM) has been recognized as a key factor for business innovation. BM patents are widely used to analyze and understand BM domains. However, previous studies have not considered the significant characteristics of the BM domain and patents, such as relative weight for knowledge flows a...
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Published in | IEEE access Vol. 11; pp. 135334 - 135350 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | Business method (BM) has been recognized as a key factor for business innovation. BM patents are widely used to analyze and understand BM domains. However, previous studies have not considered the significant characteristics of the BM domain and patents, such as relative weight for knowledge flows and various knowledge interrelations among sub-domains. This study employed a hierarchical main path analysis that considered the relative difference in knowledge inheritances and identified the knowledge structure in the BM domain. In addition, the knowledge unconventionality metric was adopted to optimize knowledge diffusion in the last layer for forecasting further developmental directions. The empirical analysis showed that the BM domain consists of eight sub-domains, and each sub-domain has a high interrelationship with other sub-domains. Most dominant knowledge was invented based on different types of knowledge in different sub-domains. In particular, the overall trajectories and future directions were analyzed according to the changes in relative importance of sub-domains. The dominant patents, trajectories, and future directions for each sub-domain were analyzed based on the high knowledge persistence and end-node information of the main paths. |
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AbstractList | Business method (BM) has been recognized as a key factor for business innovation. BM patents are widely used to analyze and understand BM domains. However, previous studies have not considered the significant characteristics of the BM domain and patents, such as relative weight for knowledge flows and various knowledge interrelations among sub-domains. This study employed a hierarchical main path analysis that considered the relative difference in knowledge inheritances and identified the knowledge structure in the BM domain. In addition, the knowledge unconventionality metric was adopted to optimize knowledge diffusion in the last layer for forecasting further developmental directions. The empirical analysis showed that the BM domain consists of eight sub-domains, and each sub-domain has a high interrelationship with other sub-domains. Most dominant knowledge was invented based on different types of knowledge in different sub-domains. In particular, the overall trajectories and future directions were analyzed according to the changes in relative importance of sub-domains. The dominant patents, trajectories, and future directions for each sub-domain were analyzed based on the high knowledge persistence and end-node information of the main paths. |
Author | Le, Nguyen-Truong Park, Hyunseok Raghavan, Nagarajan Yoon, Sejun |
Author_xml | – sequence: 1 givenname: Sejun orcidid: 0000-0002-8625-2203 surname: Yoon fullname: Yoon, Sejun organization: Department of Information System, Hanyang University, Seoul, South Korea – sequence: 2 givenname: Nagarajan orcidid: 0000-0001-6735-3108 surname: Raghavan fullname: Raghavan, Nagarajan organization: Engineering Product Development Pillar, Singapore University of Technology and Design, Tampines, Singapore – sequence: 3 givenname: Nguyen-Truong surname: Le fullname: Le, Nguyen-Truong organization: Fraunhofer Institute for Industrial Engineering IAO, Stuttgart, Germany – sequence: 4 givenname: Hyunseok orcidid: 0000-0001-6426-1531 surname: Park fullname: Park, Hyunseok email: hp@hanyang.ac.kr organization: Department of Information System, Hanyang University, Seoul, South Korea |
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SubjectTerms | Business Business method business model Diffusion layers Empirical analysis Forecasting hierarchical main path Knowledge Knowledge engineering knowledge inheritance knowledge structure knowledge trajectories Measurement patent citation network Technological innovation Trajectories Trajectory |
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Title | Investigating Knowledge Structure and Future Directions in IT-Based Business Methods Using Hierarchical Main Path Approach |
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