Research
Achievements

2023

2022

2021

2020

2019

2018

  • Komiya, N., & Nakamura, J. (2018). A Study on cognitive improvement and evaluation of casinos in Japan using conjoint card (in Japanese). In Proceedings of SIG on Artificial Intelligence, IEICE, pp. 21-26.
  • Komiya, N., & Nakamura, J. (2018). AR map and brand management: A study of platform construction for search and decision support of brand position in industry (in Japanese). In Poster presentation at the Marketing Conference 2018.
  • Komiya, N., & Nakamura, J. (2018). Brand position derived from words －Explore for changes in brand impressions and how they are perceived (in Japanese). In Proceedings of the 60th SIG on Language Sense processing Engineering (SIG-LSE), pp. 45-50.
  • Komiya, N., & Nakamura, J. (2018). Using Conjoint Analysis to Study the Factors that Enhance the Success of Casinos Entering the Japanese Market. In Presentation of International Conference on Business, Economics and Information Technology (ICBEIT2018), pp.122.
  • Komiya, N., & Nakamura, J. (2018). Derivation of preference levels of casinos by multi-attribute decision making and study on idea generation for cognitive improvement in casinos in Japan (in Japanese). In Proceedings of the 191st SIG on ICS, IPSJ, pp. 1-4.
  • Matsuki, T., & Nakamura, J. (2018). Differences in Employee Satisfaction Factors by Seniority in Japanese Retail and Service Industries. In Proceedings of International Conference on Business, Economics and Information Technology (ICBEIT 2018).
  • Matsuki, T., & Nakamura, J. (2018). Jyugyoin no motivation ga sekkyaku-kodo ni ataeru yoin no moderuka oyobi oogata inshoku chain niokeru kensyo [Modeling and Verifying the Factors for Service Behabior of Employees in Major Food Chains.]. In Proceedings of 2018 Special conference of Japan Society for Management Information, pp. 67-70.
  • Matsuki, T., & Nakamura, J. (2018). Survey of Motivation to Work Among Non-Regular Employees in the Food Services Companies. International Journal of Systems and Service-Oriented Engineering, 8(2), pp. 41-61.
  • Matsuki, T., & Nakamura, J. (2019). Service gyokai niokeru zyugyoin no hataraku motivation ni tsuite – Insyokyu chain ten no anketo cyosa niyoru zissyou kennkyu- [Work Motivation of Employees in the Service Industry -Empirical Study by Survey in Restaurant Chains-]. In Proceedings of the 7th Annual Japanese Conference of Society for Serviceolgy, B-10-01
  • Nagayoshi, S., & Nakamura, J. (2018). Visualize the Organizational Cultures in a Japanese Manufacturing Company with Multi-Dimensional Scaling: How Do We Change Corporate Culture? In Proceedings of the 21st Pacific Asia Conference on Information Systems (PACIS2018).
  • Nagayoshi, S., & Nakamura, J. (2018). Visualize Organizational Culture for Organizational Change: an Empirical Study in a Japanese Manufacturing Company. In Proceedings of the International Conference on Business, Economics and Information Technology (ICBEIT2018).
  • Nagayoshi, S., & Nakamura, J. (2018). Visualize Organizational Perception of Core Value in the Company: an Experiment Employing Multi-dimensional Scaling and the Competing Value Framework. In Proceedings of the Industrial Engineering and Engineering Management (IEEM2018).
  • Nakamura, J., & Nagayoshi, S. (2018). Perception gap in learning from failure: sensitivity analysis in an engineering company, In Poster presentation at the 8th International Conference on Cognitive Science in Svetlogorsk.
  • Nakamura, J., & Nagayoshi, S. (2018). Shift of perceived distance reflecting an organizational culture – revealing through multi-dimensional scaling method. In Proceedings of the 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018), pp. 1895-1902.
  • Nakamura, J. (2018). Don’t discard analogue technology in the era of IoT. In Special Feature Article on Towards Full-scale Utilization of Big Data, My Vision, 39.
  • Nakamura, J. (2018). Dynamic Capability and Technology Evolution in the IoT Environment. Journal of Strategic Management Studies, 10(1), 53-63.
  • Nakamura, J. (2018) Service Platform as a Clue in the context of IoT. In Presentation at Joint DIJ (Deutsches Institut Für Japanstudien) NIRA (Nippon Institute for Research Advancement) workshop.
  • Otsuka, K., & Nakamura, J. (2018). Discovery of latent context in conversation – Proposal of content finding process. In Poster presentation at the 35th Annual Meeting of the Japanese Cognitive Science Society.
  • Otsuka, K., & Nakamura, J. (2018). Proposal of discovery process of potential scenario. In Proceedings of the 43rd Annual Conference of JSiSE, pp. 61-62.
  • Yoshitaka Watanabe, Shinya Manabe, aishiro Tanaka, Yasuhito Fukui, Kiyoshi Okuizumi, Jun Nakamura, & Noriyuki Kushiro. (2018). EMI designs support system using augmented reality. In Proceedings of the 2018 IEEE International Conference on Consumer Electronics (ICCE) DOI: 10.1109/ICCE.2018.8326133

2017

  • Fujita, Y., Nakamura, J., & Kushiro, N. (2017). Risk ninshiki ni okeru sinjin to veteran no sai: sisenkaisekisouchi no shisaku to hyouka (in Japanese), [Gap between novice and veteran on risk recognition: Prototyping and evaluation of eye-tracking device]. In Proceedings of the 79th National Convention of Information Processing Society of Japan (IPSJ),
  • Fujita, Y., Nakamura, J., & Kushiro, N. (2017). Risk recognition training system on movie – Characteristics of risk recognition from experts’ gaze. In Proceedings of the 16th Forum on Information Technology, Information Processing Society of Japan, Information Processing Society of Japan (IPSJ).
  • Fujita, Y., Nakamura, J., & Kushiro, N. (2017). Video Based Recognition Training Tool Using Eye Tracking Device. In Proceedings of IEEE 6th Global Conference on Consumer Electronics 2017.
  • Matsuki, T., & Nakamura, J. (2017). Effects of Employee Satisfaction on Service by Employment Pattern: The ES-CS Model. In Proceedings of the workshop at IJCAI (International Joint Conference on Artificial Intelligence) 2017.
  • Matsuki, T., & Nakamura, J. (2017). Service gyokai ni okeru, zyugyoin-mannzoku, kokyaku-manzoku, gyoseki no doji-jitugen ni muketa model kaihatsu [Development of Model for three way satisfaction among employee satisfaction, customer satisfaction and business performance in the Japanese service industry]. In Poster presentation at 2017 Marketing Conference of Japan Marketing Academy.
  • Nagayoshi, S., & Nakamura, J. (2017). Accelerate Information Interpretation in the Organizational Failure Learning. In Proceedings of International Conference on Knowledge based and Intelligent and Engineering Systems (KES2017), pp. 971-979.
  • Nagayoshi, S., & Nakamura, J. (2017). How accelerate Knowledge Acquisition and Information Distribution in the Organizational Learning from Failure. In Proceedings of the 21st Pacific Asia Conference on Information Systems (PACIS2017).
  • Nagayoshi, S., & Nakamura, J. (2017). How computer hels the Organizational memory in the Failure Learning? In Proceedings of ICFE (International Conference on Finance and Economics) 2017.
  • Nakamura, J., & Nagayoshi, S. (2017). Perceived Distance as a Reflection of an Organizational Culture of Learning from Failure. In Proceedings of the Industrial Engineering and Engineering Management (IEEM2017).
  • Nagayoshi, S., & Nakamura, J. (2017). Shippai karano manabi kenkyuu: chuuken seizou kigyou no seikouyouin to sosikibunka (in Japanese), [Research on learning from failure: Success factor and organizational culture of a medium-sized manufacturing company]. In Proceedings of the spring national conference at Hosei University, The Japan Society for Management Information.
  • Ohtsuka, K., & Nakamura, J. (2017). Evaluation and consideration by discovery of potential scenario – Cases of learning cram school – . In Proceedings of research presentation (for students) in Japanese Society for Information and Systems in Education, pp. 61-62.
  • Suzuki, K., Tajiri, T., Takaba, N., Okuizumi, K., & Nakamura, J. (2017). Method of Downsizing the 4K Uncompressed Video Signal Generator. In Proceedings of the 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE).

2016

  • Nagayoshi, S., & Nakamura, J. (2016). Case Study on Strategic Management with Learning from Failure. In Proceedings of the International Conference on Business, Economics and Information Technology (ICBEIT2016).
  • Nagayoshi, S., & Nakamura, J. (2016). Does sympathy to colleague overcome shame of defect? In Proceedings of the 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES2016) (pp. 1720-1729).
  • Nagayoshi, S., & Nakamura, J. (2016). One’s Fault is Another’s Lesson: What Motivates the Employees to Participate in the Learning Activity? In Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2016).
  • Nagayoshi, S., & Nakamura, J. (2016). Strategic Management with Learning from Failure: A Case Study on Sangikyo Corporation in Japan. Asia Pacific Business Economics Perspectives, 4(1), 41- 50.
  • Nagayoshi, S., & Nakamura, J. (2016). What arouses rationality Recognition of Learning from Failure? Self-Interest or Altruism? In Proceedings of the 3rd Multidisciplinary International Social Networks Conference on Social Informatics 2016, Data Science Article, 17.
  • Nagayoshi, S., & Nakamura, J. (2016). What subdues shame in learning from failure? Empirical study on a company in Japan. In Proceedings of the 20th Pacific Asia Conference on Systems (PACIS2016).

2015

2014

2013年

2012

  • Nakamura, J., & Ohsawa, Y. (2012). Souzousei wo hyouka suru Scoring shuhou [Scoring method to evaluate creativity]. Simulation & Gaming, 22(1), pp.99-108.

2011

  • Nakamura, J., & Ohsawa, Y. (2011). Gengohyogen wo katuyo sita bijutsu ni okeru Scenario soushutu sien to hyouka [Scenario generation and its evaluation in the art with linguistic representation]. Japan Journal of Educational Technology, 35, pp. 137-140.

2010

  • Nakamura, J., Ohsawa, Y., & Nishio, H. (2010). An Analogy Game: Toward Cognitive Upheaval through Reflection in Action. International Journal of Advanced Intelligence Paradigm, 2(2), pp. 220-234.
  • Ohsawa, Y., Abe, A., & Nakamura, J. (2010). Chance Discovery as Value Sensing with Analogical Thinking. International Journal of Organizational and Collective Intelligence, 1(1), pp. 44-57.

2009

2008

Social Contributions

Grants in Fund

  • Takahashi Industrial and Economic Research Foundation (2019)
  • JSPS KAKENHI Grant Number 19K03062 (as a representative)
  • JSPS KAKENHI Grant Number 17K03872 (as a co-researcher)
  • JSPS KAKENHI Grant Number 15K00319 (as a representative)
  • NPO NeuroCreative Laboratory, Japan (2009)
  • The Nissan Science Foundation Grant, Japan (2008)
  • Foundation for the Fusion of Science and Technology, Japan (2008)

Awards

Oct. 2019 Japan Marketing Academy, Best Oral Paper Award
Tomoroni Matsuki
Jun. 2019 JSAI (Japanese Society for Artificial Intelligence) Incentive Award
Nozomi Komiya
Sep. 2011 University of Tokyo, Graduate School of Engineering, Department of Technology Management for Innovation, Highest honor
Jun Nakamura
Mar. 2010 Foundation for the Fusion Of Science, Award for FOST KUMADA (Evaluation and Development of Analogy Game to support creative thinking)
Jun Nakamura
Mar. 2009 Neuro Creative Lab, Award for creativity research (Higher order cognitive function and empathy)
Jun Nakamura
Oct. 2003 IBM Japan, Hundred Percent Club
Jun Nakamura