| 研究課題/領域番号 |
22K13487
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分07080:経営学関連
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| 研究機関 | 京都橘大学 |
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研究代表者 |
FAZEKAS BALAZS 京都橘大学, 国際英語学部, 専任講師 (50808368)
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| 研究期間 (年度) |
2022-04-01 – 2025-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
2,470千円 (直接経費: 1,900千円、間接経費: 570千円)
2024年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2023年度: 650千円 (直接経費: 500千円、間接経費: 150千円)
2022年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
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| キーワード | social network analysis / organizational networks / organizational fields / networks / alliance networks / network filters / network friction / management / ネットワーク / 新制度学派 / フィールド / 組織論 / バウンダリー |
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| 研究開始時の研究の概要 |
Network theory has identified different effects that the overall network has on individuals in the network. This research, however, argues that hidden walls exist in social networks that alter these effects. Moreover, these hidden boundaries can act as filters that filter network effects and influences. The aim is to identify different kinds of boundary filters and analyze their importance for the stability of social structures, such as organizations and larger organizational groups.
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| 研究実績の概要 |
The project has progressed in two ways. The theoretical paper written in 2022 has been rejected by a top journal (acceptance rate around 6%), but it has been completely rewritten with a new focus on a field-network framework. This will be presented at the Annual Meeting of the Academy of Management in Chicago (August, 2024), and then submitted to a journal for review.
The other work based on the IIP database has progressed and visual analysis of the network boundary regions are now possible. Filters and other boundary phenomena are proposed in a new paper under development. This paper will be presented at the EAISM IPDMC Conference in Dublin (June, 2024), and then developed for publication. Some of the implications can add new insights to innovation ecosystem research, and network theory.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The project is progressing according to plan with minor delays. Two papers are under development and interesting results have been found during the project that can add new insight to network theory and innovation research. The first key phase of data collection has been completed, and analysis is underway. However, due to the large size of the dataset (10,000x10,000x10), analysis is taking longer than originally envisioned. The publication of papers might also take longer, due to the extremely low acceptance rates within the target journals. Presently, I am planning to present the findings in two international conferences (the above mentioned AOM and IPDMC) and continue looking for how network boundary regions function as filters and how they impact flows along network nodes.
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| 今後の研究の推進方策 |
This year much work remains. I need a more robust analysis of the data, not just across the network, but also across time. This will need further effort and additional data analysis. The network is currently built on joint-patents that had been granted, due to computational limitations. An even larger dataset could be built based on application data. This work is underway, but it is unlikely to be completed within the three years of the project. Furthermore, for more rigorous testing additional organizational data is needed. I am currently weighing options to gather further data for more robust quantitative testing. Due to the large size of the dataset, very careful research design is needed. Beside these ambitions, the major goal for this year is the completion of the two research papers.
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