https://iaiai.org/letters/index.php/lbds/issue/feed IIAI Letters on Business and Decision Science 2024-02-05T11:11:20+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/192 Survey of the Act on the Protection of Personal Information in Japan and International Standard Framework for De-identification 2023-12-25T09:50:21+00:00 Sanggyu Shin shin.sanggyu.t@tokai.ac.jp <p>This paper discusses the law definitions of de-identification, re-identification, anonymization, and pseudonymization based on Japan’s amendment act of the Act on the Protection of Personal Information. It also introduces the current international standardization trends in de-identification, including the standardized framework ISO/IEC 27559 and ITU-TSG17 X.1148, and related international standards, ISO/IEC 20889, etc. Personal data de-identified by anonymization or pseudonymization must be de-identified adequately before being used as part of publicly available big data sets. Dealing with Big Data and sensitive personal data requires knowledge and technical competence to maintain the appropriateness of that data. Many companies are implementing Big Data projects and need a sound legal understanding to develop in line with international standards to remain compliant with the ever-increasing regulatory risk requirements.</p> 2024-02-05T00:00:00+00:00 Copyright (c) 2024 IIAI Letters on Business and Decision Science https://iaiai.org/letters/index.php/lbds/article/view/213 Simulation Modeling of a Conceptual Model for Supply Chain Risks in Japan’s Automobile Industry 2023-12-29T09:30:02+00:00 Toko Sasaki tohko@nuis.ac.jp Akira Nagamatsu editorial-office@iaiai.org <p>Japan’s automobile industry suffered enormous losses because of the 2011 Tohoku earthquake. Four years earlier, the 2007 Niigata Chuetsu offshore earthquake had damaged Riken’s Kashiwazaki plant in Niigata, impeding operations among most Japan’s automobile manufacturers. Five years after the 2011 Tohoku earthquake, many plants, including semiconductor manufacturer Renesas and automotive parts supplier Aisin Kyushu in Kumamoto were affected by the 2016 Kumamoto earthquake, the impact affected entire Japan’s automobile industry. Thus, production stoppages at lower-tier suppliers have often affected nearly every Japan’s automobile manufacturer.</p> <p>Therefore, the purposes of this study are to describe how disasters affected the supply chain network in Japan’s automobile industry, to build a conceptual model that reproduces concentration and consolidation within the supply chain structure, and to compare the propagation of the supply chain disruption using several models.</p> 2024-02-05T00:00:00+00:00 Copyright (c) 2024 IIAI Letters on Business and Decision Science https://iaiai.org/letters/index.php/lbds/article/view/186 Business Model Proposal for Agriculture and Tourism Business Sectors Supported by ICT System in Nepal through Systematic Business Analysis Process 2023-11-30T06:30:31+00:00 Pabitra Chaudahry g2293106@tcu.ac.jp Koji Okada okadak@tcu.ac.jp <p>Nepal is the least developed country in the world. Most people live in rural areas that have poor economic conditions. With limited job opportunities within the country, there is a massive outflow of labor overseas, and we must depend on remittances for our daily lives. To resolve this problem, an effective business model is needed to create sufficient job opportunities and improve the economic situation. Many researchers suggest that improvement of the agricultural sector and investment in tourism would facilitate job opportunities and assist the importance of an ICT-based business model; however, none of them proposed a model with a systematic methodology. Therefore, a series of business analyses were conducted to investigate the overall scenario. First, we conducted an (i) PESTLE analysis, (ii) SWOT analysis followed by case studies, and (iii) 3C analysis. The following results were obtained: (i) PESTLE analysis and (2) SWOT show major strengths in “Agriculture and Tourism”; a massive mobile connection rate exceeding the total population and a high primary education completion rate, indicate the possibility of agribusiness and tourism businesses, but the demand and supply chain is fragmented due to a lack of information. To understand the actual situation, I investigated two specific areas Dang, which is known as the grain basket of Nepal, and Pokhara City, a melting point of tourist destination for mountaineering and adventures activities along with enormous trekking sites holding massive consumption agricultural product (iii) 3C analysis helped to figure out the key success factor of ICT businesses to link production and consumption sites. Therefore, I proposed a mobile application-based business model using the business model canvas. Our goal is to link the demand of tourists and farmers food supply and connect them to technical support for modern farming techniques for mass production and cultivation by using ICT technology such as mobile applications.</p> 2024-02-05T00:00:00+00:00 Copyright (c) 2024 IIAI Letters on Business and Decision Science https://iaiai.org/letters/index.php/lbds/article/view/225 Survey Analysis of Students' Attitudes in PBL Activities 2024-01-21T08:01:14+00:00 Takaaki Hosoda t-hosoda@aiit.ac.jp Koji Okazaki okazaki-kouji@aiit.ac.jp <p>This paper shows the results of a questionnaire survey conducted in 2023 for students enrolled in PBL courses at the Advanced Institute of Industrial Technology. The purpose of this survey was to develop a unified evaluation index for PBL activities as part of the Institutional Research (IR) activities of the Centre for Research and Education of Highly Skilled Professionals. As a result, it was found that they tend to avoid extremely difficult themes due to their anxiety of completing the course while the students value the originality and novelty of the PBL themes. Furthermore, they expect their PBL themes to be practical by discovering it by their own, rather than being given by someone else. Also, they prefer team-based work to individual work. The PBL faculty members are expected to build good relationships with the students and provide a guidance based on their expertise. While the students want to keep a relationship with the graduate school for the future, it is unclear what type of relationship they need. It would be a future work to be investigated. Finally, the results shows that their expectations for competencies to be acquired through PBL activities were high enough across the board and indicates the willingness of the students to acquire competencies through PBL activities.</p> 2024-02-05T00:00:00+00:00 Copyright (c) 2024 IIAI Letters on Business and Decision Science