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ORCIDJun Nakamura 0001
Person information
- affiliation: Chuo University, Faculty of Global Management, Tokyo, Japan
- affiliation (former): Shibaura Institute of Technology, Tokyo, Japan
- affiliation (former): Kanazawa Institute of Technology, Research Center for Social and Industrial Management Systems, Tokyo, Japan
- affiliation (PhD 2011): University of Tokyo, Graduate School of Engineering, Japan
Other persons with the same name
- Jun Nakamura — disambiguation page
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2020 – today
- 2024
[j13]Yuka Naito, Jun Nakamura, Yoshinobu Ishiwata:
Characteristics of The Reciprocal Movement of Radiographers' Gaze through A Comparison of Entry-Level and Experienced Radiographer. J. Robotics Netw. Artif. Life 10(4): 318-322 (2024)- [j12]Sanetake Nagayoshi, Jun Nakamura:
Impact of Computer Usage on Organizational Memory and Learning from Failure: A Case Study of a Japanese Company. Rev. Socionetwork Strateg. 18(2): 349-371 (2024) - [c42]Sanetake Nagayoshi
, Jun Nakamura:
Effective Organizational Learning from Failure: Mechanism for Knowledge Accumulation & Sharing, and Measurement Execution. MISNC 2024: 118-124 - 2023
- [j11]Jun Nakamura, Nozomi Komiya:
Exploring Features of the Unconscious in Quality Inspection in Manufacturing. J. Robotics Netw. Artif. Life 9(4): 385-389 (2023) - [c41]Sanetake Nagayoshi, Jun Nakamura:
How are Routines from "Organizational Learning from Failure" Built? IEEM 2023: 335-339 - [c40]Jun Nakamura, Sanetake Nagayoshi:
Empirical study on cognitive bias in stress condition - improving the working capabilities of gantry crane operations. KES 2023: 434-441 - [c39]Sanetake Nagayoshi, Jun Nakamura:
How Computer Usage affects Organizational Memory - Case Study of a Japanese Company Implementing Organizational Learning from Failure. MISNC 2023: 5-12 - [c38]Sanetake Nagayoshi, Jun Nakamura:
How Psychological Safety, Participant-Intention, and Organizational Routine Affect Failure-Learning Implementation. MISNC 2023: 74-83 - 2022
- [j10]Jun Nakamura, Sanetake Nagayoshi:
Exploring Knowledge Engineering in Cognitive Skills Transfer for Small and Medium-Sized Companies Using Eye Tracking. Int. J. Syst. Serv. Oriented Eng. 12(1): 1-16 (2022) - [j9]Jun Nakamura:
Cognitive Biases as a Clue to Creating Diversified Stories. J. Robotics Netw. Artif. Life 8(4): 253-258 (2022) - [j8]Jun Nakamura, Sanetake Nagayoshi, Nozomi Komiya:
Anticipation During a Cyclic Manufacturing Process: Toward Visual Search Modeling of Human Factors. Rev. Socionetwork Strateg. 16(2): 599-614 (2022) - [c37]Jun Nakamura, Sanetake Nagayoshi:
What can a line of sight tell us? Working with a gantry crane at 50 m above ground level. KES 2022: 692-700 - 2021
- [c36]Sanetake Nagayoshi, Jun Nakamura:
Failure Knowledge-sharing Motivation with Self Determination Theory - Evidence from a Japanese Company. IEEM 2021: 394-398 - [c35]Sanetane Nagayoshi, Jun Nakamura:
Can a Computer-based Knowledge Repository Strengthen Organizational Memory? Evidence from a Japanese Company. IEEM 2021: 472-476 - [c34]Jun Nakamura, Sanetake Nagayoshi, Nozomi Komiya:
Cognitive Biases as Clues to Skill Acquisition in Manufacturing Industry. IEEM 2021: 1275-1278 - [c33]Sanetake Nagayoshi, Jun Nakamura:
Creative Activity Outcomes and Optimal Task Scheduling. IEEM 2021: 1641-1645 - [c32]Jun Nakamura, Sanetake Nagayoshi, Nozomi Komiya:
Skill Transfer of Traditional Pottery Techniques: Exploring the Effects of Metacognition Through Gaze Movement. KES 2021: 1705-1712 - [c31]Jun Nakamura, Sanetake Nagayoshi, Nozomi Komiya:
Effects of Anticipation in Manufacturing Processes: Towards Visual Search Modeling in Human Factors. MISNC 2021: 15-20 - 2020
- [c30]Sanetake Nagayoshi, Jun Nakamura:
Organizational Learning from Failure Can Augment Ambidexterity: Evidence from Japan. IEEM 2020: 244-248 - [c29]Jun Nakamura, Sanetane Nagayoshi, Masahiko Teramoto:
Extracting characteristics of plates, pots, and vases in molding process: an attempt of creating a simple model. KES 2020: 1402-1411 - [c28]Nozomi Komiya, Jun Nakamura, Kazuhiko Tsuda:
Study on Human Cognition: A study challenging Gambling Businesses using a Cognitive Model for Casinos. KES 2020: 1848-1857 - [c27]Sanetake Nagayoshi, Jun Nakamura:
Visualization of the Change Process of Organization Members' Unconscious Perception in Organizational Transformation. KES 2020: 3369-3378
2010 – 2019
- 2019
- [j7]Tomonori Matsuki, Jun Nakamura:
Effect of Employees' Values on Employee Satisfaction in Japanese Retail and Service Industries. Adv. Hum. Comput. Interact. 2019: 4951387:1-4951387:11 (2019) - [j6]Nozomi Komiya, Jun Nakamura:
Exploring the Types of Casinos Preferred in Japan via Conjoint Analysis of Relevant Words. Adv. Hum. Comput. Interact. 2019: 8632892:1-8632892:10 (2019) - [c26]Sanetake Nagayoshi, Jun Nakamura:
Sharing Personal Failure Story in Organization: Sharing with Individual or Organization? IEEM 2019: 561-565 - [c25]Nozomi Komiya, Jun Nakamura:
Factors that influence casino design: Exploration of knowledge-based ideas for introducing casinos into Japan. KES 2019: 1305-1313 - [c24]Jun Nakamura, Sanetake Nagayoshi:
The pottery skills and tacit knowledge of a maser: An analysis using eye-tracking data. KES 2019: 1680-1687 - [c23]Sanetake Nagayoshi, Jun Nakamura:
How does the computer-based repository augment organizational memory of the failure learning activity in the Japanese company? KES 2019: 1705-1714 - 2018
- [j5]Tomonori Matsuki, Jun Nakamura:
Survey of Motivation to Work Among Non-Regular Employees in the Food Services Companies: A Statistical Analysis Considering Length of Employment. Int. J. Syst. Serv. Oriented Eng. 8(2): 41-61 (2018) - [c22]Yoshitaka Watanabe, Shinya Manabe, Taishiro Tanaka, Yasuhito Fukui, Kiyoshi Okuizumi, Jun Nakamura, Noriyuki Kushiro:
EMI designs support system using augmented reality. ICCE 2018: 1-2 - [c21]Sanetake Nagayoshi, Jun Nakamura:
Visualize Organizational Perception of Core Value in the Company: An Experiment Employing Multi-dimensional Scaling and the Competing Value Framework. IEEM 2018: 1578-1582 - [c20]Jun Nakamura, Sanetake Nagayoshi:
Shift of perceived distance reflecting an organizational culture - revealing through multi-dimensional scaling method. KES 2018: 1895-1902 - [c19]Sanetake Nagayoshi, Jun Nakamura:
Visualize the Organizational Cultures in a Japanese Manufacturing Company with Multi-Dimensional Scaling-How Do We Change Corporate Culture? PACIS 2018: 178 - 2017
- [c18]Yuji Fujita, Jun Nakamura, Noriyuki Kushiro:
Video based risk recognition training tool using eye tracking device. GCCE 2017: 1-4 - [c17]Kosho Suzuki, Takayuki Tajiri, Nobumichi Takaba, Kiyoshi Okuizumi, Jun Nakamura:
Method of downsizing the 4K uncompressed video signal generator. GCCE 2017: 1-3 - [c16]Sanetake Nagayoshi, Jun Nakamura:
Accelerate Information Interpretation in the Organizational Failure Learning. KES 2017: 971-979 - [c15]Sanetake Nagayoshi, Jun Nakamura:
How Accelerate Knowledge Acquisition and Information Distribution in the Organizational Leaning from Failure. PACIS 2017: 207 - 2016
- [c14]Sanetake Nagayoshi, Jun Nakamura:
Does Sympathy to Colleague Overcome Shame of Defect? KES 2016: 1720-1729 - [c13]Sanetake Nagayoshi, Jun Nakamura:
What Arouses Rationality Recognition of Learning from Failure? Self-Interest or Altruism? MISNC 2016: 17 - [c12]Sanetake Nagayoshi, Jun Nakamura:
What Subdues shame in Learning from Failure? : Empirical Study on a Company in Japan. PACIS 2016: 154 - 2015
- [j4]Jun Nakamura, Masahiko Teramoto:
Concept Design for Creating Essential Hypothesis, Rules, and Goals: Toward a Data Marketplace. Open J. Inf. Syst. 2(2): 16-26 (2015) - [c11]Jun Nakamura, Masahiko Teramoto:
Knowledge-Based Circulation Growth Model: Applying a Data Marketplace to Concept Design. ICDM Workshops 2015: 728-733 - [c10]Masahiko Teramoto, Jun Nakamura:
Application of Applied KOTO-FRAME to the Five-Story Pagoda Aseismatic Mechanism. ICDM Workshops 2015: 742-748 - [c9]Sanetake Nagayoshi, Jun Nakamura:
Organization Learning from Failure Through Knowledge Network: Case Study on an Engineering Company in Japan. MISNC 2015: 80-93 - 2014
- [c8]Jun Nakamura:
Creating Essential Hypothesis and Rules in Product Planning - Introducing Abductive Inference Model. ICDM Workshops 2014: 470-476 - [c7]Masahiko Teramoto, Jun Nakamura:
Adaptability of Dynamic Quality Function Deployment to the Concept Design of Electric Trucks: An Attempt to Knowledge Management and Data Engineering. ICDM Workshops 2014: 496-502 - [c6]Jun Nakamura:
Discovering Design Concept for Immovable Objects. KES 2014: 954-960 - 2013
- [c5]Jun Nakamura, Masahiko Teramoto:
Frame as a Clue to Intention of Data: Toward New Product Ideas with Framed Components. ICDM Workshops 2013: 720-725 - [c4]Masahiko Teramoto, Jun Nakamura:
e-Trucks Realize Four Zeros Expectations, The Challenge by Market of Data. ICDM Workshops 2013: 726-732 - 2012
- [c3]Jun Nakamura, Yukio Ohsawa:
Generating new product ideas by assemblage of different product components. CogSci 2012 - 2010
- [j3]Jun Nakamura, Yukio Ohsawa, Hiroyuki Nishio:
An analogy game: toward cognitive upheaval through reflection-in-action. Int. J. Adv. Intell. Paradigms 2(2/3): 220-234 (2010) - [j2]Yukio Ohsawa, Akinori Abe, Jun Nakamura:
Chance Discovery as Analogy Based Value Sensing. Int. J. Organ. Collect. Intell. 1(1): 44-57 (2010) - [c2]Yukio Ohsawa, Yoko Nishihara, Jun Nakamura, Noriyuki Kushiro, Katsumi Nitta:
Tsugology for revealing intentions and constraints. SMC 2010: 1332-1337
2000 – 2009
- 2009
- [j1]Jun Nakamura, Yukio Ohsawa:
A shift of mind - Introducing a concept creation model. Inf. Sci. 179(11): 1639-1646 (2009) - 2008
- [c1]Jun Nakamura, Yukio Ohsawa:
Insight or Trial and Error: Ambiguous Items as Clue for Discovering New Concepts in Constrained Environments. KES (2) 2008: 742-749
Coauthor Index
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