https://iaiai.org/letters/index.php/lbds/issue/feed IIAI Letters on Business and Decision Science 2025-02-22T13:07:07+00:00 Tokuro Matsuo iiai-jm@iaiai.org Open Journal Systems <p>IIAI Letters on Business and Decision Science (LBDS) is one of IIAI's <span lang="EN-US"> as open conference publication series. LBDS </span>shares the latest theories and applications in the field of research based on scientific approaches to business and decision making, as well as new insights into their application to society. LBDS includes research on organizational management and business administration based on theoretical and quantitative methods, information systems of organizations studied in the field of business informatics, theoretical research and implementation of economic transactions discussed in the field of information science, and decision science of people and organizations based on psychological approaches. The articles published in LBDS cover the most recent theories and applications of business and decision science.</p> <p> </p> <p>ISSN: 2185-9930 (electronic), Established on 2022, Open Access</p> https://iaiai.org/letters/index.php/lbds/article/view/325 Business Professionals' Acceptance of Ikebana 2024-12-20T11:58:21+00:00 Kenzaburo Hitomi s2040013@jaist.ac.jp Takaya Yuizono editorial-office@iaiai.org <p>Mindfulness, a type of mental training, is gaining attention among business professionals. This study explored the potential of ikebana as a form of mindfulness practice. Further, it sought to elucidate how ikebana is integrated into personal and business settings. To achieve this, semi-structured interviews were conducted with business professionals experienced in ikebana, guided by two research questions. Consequently, we confirmed that participants’ words regarding their personal lives, business, and self-perception are relatied to the ikebana. Additionally, participants noted that ikebana can be a mood-changer in everyday life and promote self-awareness and awareness of others in business contexts.</p> 2025-02-22T00:00:00+00:00 Copyright (c) 2025 IIAI Letters on Business and Decision Science https://iaiai.org/letters/index.php/lbds/article/view/350 Value Design Method for Digital Innovation 2025-01-20T21:59:02+00:00 Hikaru Fujine s2010155@jaist.ac.jp NAOSHI UCHIHIRA uchihira@jaist.ac.jp <p>With the evolution of digital technologies such as IoT (Internet of Things) and AI (Artificial Intelligence), opportunities for digital innovation are expanding for all companies, including small and medium-sized enterprises and non-IT companies. However, while many companies can engage in “defensive digital transformation (DX)” by using digital technologies to improve their daily operations, achieving “offensive DX” to create new value in products and services through digital technologies is not easy. We have been developing the “Digital Innovation Design Method” to support offensive DX. This paper presents a new method to further concretize the “value design” of Digital Innovation Design Method. Specifically, while the original value design used the Value Proposition Canvas, the Value Proposition Canvas is generic and difficult for companies unfamiliar with digital technologies to utilize for offensive DX. The method proposed in this paper supports value design considering the characteristics of digital innovation utilizing “Value Graph” and “Digital Value Patterns” in addition to “Value Proposition Canvas” and evaluates its effectiveness through a descriptive experiment with 32 participants.</p> 2025-02-22T00:00:00+00:00 Copyright (c) 2025 IIAI Letters on Business and Decision Science https://iaiai.org/letters/index.php/lbds/article/view/338 The Influence of Body Usage on Creative Drawing: A Comparison of Calisthenics and Meditation in Junior High School Students 2025-01-14T16:13:50+00:00 SATOKO NISHIZAWA satoko.nishizawa@gmail.com Takaya Yuizono yuizono@jaist.ac.jp <p>This study investigates the influence of body usage on creativity drawing. We examined the effects of physical exercise and meditation on creativity in second-year junior high school students (N=97) through a within-subjects experiment. Participants performed three-minute sessions of calisthenics and meditation before drawing, and their artworks were analyzed for differences in area, color usage, and the presence of warm/cold colors. The results showed that 1) drawings after meditation tended to have larger areas, while those after calisthenics showed an increased use of warm colors; 2) In the questionnaire, the students who felt that calisthenics activated their creative drawing often commented on body image, while other students who felt that meditation activated them commented on thinking and feeling.</p> 2025-02-22T00:00:00+00:00 Copyright (c) 2025 IIAI Letters on Business and Decision Science https://iaiai.org/letters/index.php/lbds/article/view/352 A Novel Balanced Reporting Innovation with Data Governance Evolution (BRIDGE) Method 2025-01-26T09:36:41+00:00 Kunihiko Takamatsu ktakamatu@gmail.com Sayaka Matsumoto syma@irds.titech.ac.jp Koichi Akashi kouichikaisei@gmail.com Hibiki Ito hibiki.itoo@gmail.com Takafumi Kirimura kirimura-t49@ms.osaka-kyoiku.ac.jp Taion Kunisaki taion11kunichan@gmail.com Kenya Bannaka k-bannaka@kobe-tokiwa.ac.jp Ikuhiro Noda noda@kobe-tokiwa.ac.jp Ryosuke Kozaki kozaroto@gmail.com Aoi Kishida aoi.kishida@gmail.com Katsuhiko Murakami aaaccck@gmail.com Yasuo Nakata nakata0325@gmail.com Masao Mori mori@irds.titech.ac.jp <p>The era of Society 5.0 demands both creativity and systematic knowledge implementation in organizational settings. However, there exists a significant gap between understanding new knowledge and its practical application. This paper proposes the Balanced Reporting Innovation with Data Governance Evolution (BRIDGE) method as a novel approach to facilitate the transition from intellectual understanding to unconscious competence in implementing new knowledge. Through the lens of Eduinformatics, we demonstrate how the BRIDGE method effectively integrates abductive reasoning for innovation while ensuring organizational acceptance. Using a case study from institutional research practices, we show how the method provides a structured transition period where traditional and innovative approaches coexist, enabling organizations to maintain operational continuity while implementing new methodologies. The BRIDGE method addresses the fundamental challenge of knowledge acceptance by acknowledging that while creativity and abduction are essential for generating new knowledge, successful implementation requires careful consideration of organizational dynamics. Our findings suggest that this method can be adapted for various organizational contexts where new knowledge needs to be effectively implemented and accepted, providing a practical framework for bridging the gap between innovation and adoption.</p> 2025-02-22T00:00:00+00:00 Copyright (c) 2025 IIAI Letters on Business and Decision Science https://iaiai.org/letters/index.php/lbds/article/view/346 Proposal of a Haiku Evaluation Method Using Large Language Model and Prompt Engineering 2025-01-20T05:55:02+00:00 Shunki Tomizawa tomizawa@ist.hokudai.ac.jp Soichiro Yokoyama yokoyama@ist.hokudai.ac.jp Tomohisa Yamashita tomohisa@ist.hokudai.ac.jp Hidenori Kawamura kawamura@ist.hokudai.ac.jp <div class="page" title="Page 1"> <div class="layoutArea"> <div class="column"> <p>In this paper we describe the development of a haiku evaluation system using Large Language Model (LLM). We propose several prompting methods for haiku evaluation and selection, and verify the performance of the proposed methods using an automatically evaluable haiku dataset. We also performed haiku evaluation and selection on a large haiku database containing over 100 million verses using the proposed methods and validated their effectiveness through a questionnaire survey of haiku poets. The main contributions of this paper are as follows. First, we investigated the effectiveness of the procedures for demonstrating the validity of a number of haiku rating systems, including the creation of rating datasets and the results of subjective ratings through questionnaires. Second, we investigated methods for conducting haiku evaluation using LLM and prompt engineering.</p> </div> </div> </div> 2025-02-22T00:00:00+00:00 Copyright (c) 2025 IIAI Letters on Business and Decision Science