Papers - Shimizu, Takumi

Designing Data Ecosystem for Digital Society

Yoshiaki Fukami, Takumi Shimizu

Journal of the Japanese Society for Artificial Intelligence (The Japanese Society for Artificial Intelligence)  37 ( 5 ) 575 - 581 2022

ISSN  21882266

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Models of Exchanged Datasets and Interactions of Buyers in the Data Market: Toward Multi-Agent Simulators for System Design

Teruaki Hayashi, Hiroyasu Matsushima, Hiroki Sakaji, Yoshiaki Fukami, Takumi Shimizu

Procedia Computer Science (Elsevier BV)  207 ( 2022 ) 1695 - 1704 2022

Accepted,  ISSN  1877-0509

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Value creation by reusing data as exchangeable resources has been widely studied as a new source of innovation, resulting in the establishment of a data market and its ecosystem. However, owing to the nascent nature of the market, observable information on exchanged datasets and interactions among stakeholders, such as buyers and providers, in the market are limited. Therefore, a lack of observable information that contributes to designing the market system and formulating regulations to promote the sound growth of data markets exists. This study modeled exchanged datasets and data buyers as agents, the smallest units of the data market components, and prepared seven scenarios for four market sizes. We simulated the effects of datasets and agent models with different market sizes on the agents' data purchases and emergence of popular datasets and discussed the factors that affect the purchase frequency distribution of the datasets. We present the experimental results and new implications for developing a data market simulator. The development of this simulator is expected to significantly advance research on the market understanding and system design in data markets.

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Technology Standardization for Innovation: How Google Leverages an Open Digital Platform

Yoshiaki Fukami, Takumi Shimizu

Information 12 ( 11 ) 1 - 16 2021.10

Joint Work, Accepted

Data Combination for Problem-solving: A Case of an Open Data Exchange Platform

T Hayashi, H Sakaji, H Matsushima, Y Fukami, T Shimizu, Y Ohsawa

The Review of Socionetwork Strategies, 1-14 (Springer Science and Business Media LLC)   2021

Research paper (scientific journal), Joint Work, Accepted,  ISSN  2523-3173

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<title>Abstract</title>In recent years, rather than enclosing data within a single organization, exchanging and combining data from different domains has become an emerging practice. Many studies have discussed the economic and utility value of data and data exchange, but the characteristics of data that contribute to problem-solving through data combination have not been fully understood. In big data and interdisciplinary data combinations, large-scale data with many variables are expected to be used, and value is expected to be created by combining data as much as possible. In this study, we conducted three experiments to investigate the characteristics of data, focusing on the relationships between data combinations and variables in each dataset, using empirical data shared by the local government. The results indicate that even datasets that have a few variables are frequently used to propose solutions for problem-solving. Moreover, we found that even if the datasets in the solution do not have common variables, there are some well-established solutions to these problems. The findings of this study shed light on the mechanisms behind data combination for solving problems involving multiple datasets and variables.

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Growing Process of Communities on Data Platforms: Case Analysis of a COVID-19 Dataset

Hayashi T., Shimizu T., Fukami Y., Sakaji H., Matsushima H.

Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021 (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021)     3466 - 3471 2021

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In recent years, there have been growing expectations for the creation of new businesses and the improvement of the value of existing services by exchanging data in different fields. Data stored in-house within organizations have become a new source of innovation. While there is a high need for the value creation of data, determining the data value is not an easy task, as there is a wide range of factors to be considered, such as data pricing, acquisition cost, usage value, and update frequency. In this study, we observe communication, such as the sharing of know-hows in data exchange and analysis, and discuss the growing process of a community on the data platform. For the experiment, we focused on the data community in the COVID-19 disaster and used a unique dataset from the data platform Kaggle, which is the data analysis competition service. The results suggest that user actions differ in the discussion of the dataset and analysis. Moreover, providing topics, user participation, and activating actions in the early stages after the dataset is released are essential for forming a data community. We argue that the actions on the data analysis, such as comments and votes, are also crucial for fostering a common understanding of the data value.

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データ流通エコシステムにおけるプラットフォームを媒介とした価値創造

清水たくみ， 早矢仕晃章， 深見嘉明， 松島裕康， 坂地泰紀， 大澤幸生

情報通信政策研究 4 (1), 103-123 (Institute for Information and Communications Policy)  4 ( 1 ) 103 - 123 2020

Research paper (scientific journal), Single Work, Accepted,  ISSN  2433-6254

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<p>Value creation with digital data receives much attention as a source of innovation as the digitization of industries and economic systems advances. Data exchange ecosystems have emerged to facilitate data exchange and trade among heterogeneous actors, including private firms, non-profit organizations, public sectors, and individuals. Although the importance of nurturing data exchange ecosystems is well recognized, there are limited studies on developing and designing such ecosystems since there are many complex problems that need to be solved, such as legal, policy, and technology issues. Moreover, little is known about mechanisms behind data exchange platforms including the characteristics of data and the relationships between data while many discussions on business and technological aspects of data exchange ecosystems exist. Therefore, this paper unpacks data exchange mechanisms by analyzing the data combination networks on a digital platform. Our network analysis identifies 1) the characteristics of highly linkable data, 2) the conditions that facilitate data combination, and 3) structural characteristics of data networks on a digital platform. The paper demonstrates that variables related to "time" and "place" in the data facilitate data combination between diverse datasets. The paper also shows that the mixture of sensitive and shareable data increases the likelihood of link between the data from different fields. Furthermore, the structural characteristics of the data network (locally dense and global sparse) indicate the possibility of combining diverse data by filling the structural holes of sparse networks. Implications for developing data exchange platforms and promoting the data economy are discussed based on the findings of the paper.</p>

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Who Becomes a High Performing Leader in Knowledge Sharing Online Communities?

Takumi Shimizu

Journal of the Japan Society for Management Information 27 ( 1 ) 51 - 66 2018.06

Research paper (scientific journal), Single Work, Accepted

Innovating through standardization: How Google Leverages the Value of Open Digital Platforms

Y Fukami, T Shimizu

Pacific Asia Conference on Information Systems (PACIS) Proceedings 2018, 1-14 (Proceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018)     1 - 14 2018

Joint Work, Accepted,  ISSN  9784902590838

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The purpose of this paper is to examine how an actor strategically develops and diffuses technology standards that align with innovation trajectories while maintaining a consensus with competitors. We conduct a field study of HTML5 standardization and examine how Google strategically influences the development and diffusion of HTML5 toward their favorable standard trajectories. We show that Google has adopted two strategic policies (integrating outside technologies and avoiding the monetization of technologies) and engaged in two relational practices (forming alliances with browser vendors and engaging developer communities) to realize an open Web application platform on the HTML5 while competing and coordinating with other actors. Google attracts application developers and browser vendors to collaboratively develop HTML5 specifications and HTML5-compatible products and services, which have enriched Google's open Web application strategy. These relational practices were enabled and amplified by non-commercial policies for corresponding web applications and the use of other parties' technologies.

Coordinating collective framing process with heterogeneous actors in technology standard development

T Shimizu

Academy of Management Proceedings 2018 (1), 13077  2018

Online Communities and Knowledge Collaborations

S Faraj, T Shimizu

Oxford Research Encyclopedia of Business and Management    1 - 20 2018

Research paper (scientific journal), Joint Work, Accepted

Material-Discursive Practices in Technology Standards Development: A Topic-Modeling Approach to Technology Evolution

Takumi Shimizu

Proceedings of 23rd Americas Conference on Information Systems    1 - 10 2017.08

Single Work, Accepted

Management of Creativity in Web2.0

Takumi Shimizu, Takashi Iba

Journal of Infosocionomics Society 2 ( 2 ) 144 - 158 2007.06

Research paper (scientific journal), Joint Work, Accepted