Updated on 2022/01/28

写真a

 
MURASE, Toshio
 
Affiliation
Faculty of Commerce, School of Commerce
Job title
Associate Professor

Research Institute

  • 2017
    -
     

    産業経営研究所   兼任研究所員

Degree

  • University of Central Florida   Ph.D. in Industrial Organizational Psychology

Research Experience

  •  
     
     

    Northwestern University   Engineering Department   Postdoc

  •  
     
     

    Georgia Institute of Technology   School of Psychology   Postdoc

  •  
     
     

    Roosevelt University   Psychology Department   Assistant Professor

 

Research Areas

  • Social psychology   Industrial Organizational Psychology

  • Business administration   Organizational Behavior

Research Interests

  • Social Networks

  • Teams

  • Leadership

Papers

  • Sequential Synchrony Analysis

    Murase, T, Poole, Asencio, R, McDonald, J. D

    Group processes: Computational and data driven approaches    2017  [Refereed]  [Invited]

  • Data Descriptor: Data from a pre-publication independent replication initiative examining ten moral judgement effects

    Warren Tierney, Martin Schweinsberg, Jennifer Jordan, Deanna M. Kennedy, Israr Qureshi, S. Amy Sommer, Nico Thornley, Nikhil Madan, Michelangelo Vianello, Eli Awtrey, Luke Lei Zhu, Daniel Diermeier, Justin E. Heinze, Malavika Srinivasan, David Tannenbaum, Eliza Bivolaru, Jason Dana, Clintin P. Davis-Stober, Christilene du Plessis, Quentin F. Gronau, Andrew C. Hafenbrack, Eko Yi Liao, Alexander Ly, Maarten Marsman, Toshio Murase, Michael Schaerer, Christina M. Tworek, Eric-Jan Wagenmakers, Lynn Wong, Tabitha Anderson, Christopher W. Bauman, Wendy L. Bedwell, Victoria Brescoll, Andrew Canavan, Jesse J. Chandler, Erik Cheries, Sapna Cheryan, Felix Cheung, Andrei Cimpian, Mark A. Clark, Diana Cordon, Fiery Cushman, Peter H. Ditto, Alice Amell, Sarah E. Frick, Monica Gamez-Djokic, Rebecca Hofstein Grady, Jesse Graham, Jun Gu, Adam Hahn, Brittany E. Hanson, Nicole J. Hartwich, Kristie Hein, Yoel Inbar, Lily Jiang, Tehlyr Kellogg, Nicole Legate, Timo P. Luoma, Heidi Maibeucher, Peter Meindl, Jennifer Miles, Alexandra Mislin, Daniel C. Molden, Matt Motyl, George Newman, Hoai Huong Ngo, Harvey Packham, P. Scott Ramsay, Jennifer L. Ray, Aaron M. Sackett, Anne-Laure Sellier, Tatiana Sokolova, Walter Sowden, Daniel Storage, Xiaomin Sun, Jay J. Van Bavel, Anthony N. Washburn, Cong Wei, Erik Wetter, Carlos T. Wilson, Sophie-Charlotte Darroux, Eric Luis Uhlmann

    SCIENTIFIC DATA   3  2016.10  [Refereed]

     View Summary

    We present the data from a crowdsourced project seeking to replicate findings in independent laboratories before (rather than after) they are published. In this Pre-Publication Independent Replication (PPIR) initiative, 25 research groups attempted to replicate 10 moral judgment effects from a single laboratory's research pipeline of unpublished findings. The 10 effects were investigated using online/lab surveys containing psychological manipulations (vignettes) followed by questionnaires. Results revealed a mix of reliable, unreliable, and culturally moderated findings. Unlike any previous replication project, this dataset includes the data from not only the replications but also from the original studies, creating a unique corpus that researchers can use to better understand reproducibility and irreproducibility in science.

    DOI

  • The pipeline project: Pre-publication independent replications of a single laboratory's research pipeline

    Martin Schweinsberg, Nikhil Madan, Michelangelo Vianello, S. Amy Sommer, Jennifer Jordan, Warren Tierney, Eli Awtrey, Luke Lei Zhu, Daniel Diermeier, Justin E. Heinze, Malavika Srinivasan, David Tannenbaum, Eliza Bivolaru, Jason Dana, Clintin P. Davis-Stober, Christilene du Plessis, Quentin F. Gronau, Andrew C. Hafenbrack, Eko Yi Liao, Alexander Ly, Maarten Marsman, Toshio Murase, Israr Qureshi, Michael Schaerer, Nico Thornley, Christina M. Tworek, Eric -Jan Wagenmakers, Lynn Wong, Tabitha Anderson, Christopher W. Bauman, Wendy L. Bedwell, Victoria Brescoll, Andrew Canavan, Jesse J. Chandler, Erik Cheries, Sapna Cheryan, Felix Cheung, Andrei Cimpian, Mark A. Clark, Diana Cordon, Fiery Cushman, Peter H. Ditto, Thomas Donahue, Sarah E. Frick, Monica Gamez-Djokic, Rebecca Hofstein Grady, Jesse Graham, Jun Gu, Adam Hahn, Brittany E. Hanson, Nicole J. Hartwich, Kristie Hein, Yoel Inbar, Lily Jiang, Tehlyr Kellogg, Deanna M. Kennedy, Nicole Legate, Timo P. Luoma, Heidi Maibuecher, Peter Meindl, Jennifer Miles, Alexandra Mislin, Daniel C. Molden, Matt Motyl, George Newman, Hoai Huong Ngo, Harvey Packham, Philip S. Ramsay, Jennifer L. Ray, Aaron M. Sackett, Anne-Laure Sellier, Tatiana Sokolova, Walter Sowden, Daniel Storage, Xiaomin Sun, Jay J. Van Bavel, Anthony N. Washburn, Cong Wei, Erik Wetter, Carlos T. Wilson, Sophie-Charlotte Darroux, Eric Luis Uhlmann

    JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY   66   55 - 67  2016.09  [Refereed]

     View Summary

    This crowdsourced project introduces a collaborative approach to improving the reproducibility of scientific research, in which findings are replicated in qualified independent laboratories before (rather than after) they are published. Our goal is to establish a non-adversarial replication process with highly informative final results. To illustrate the Pre-Publication Independent Replication (PPIR) approach, 25 research groups conducted replications of all ten moral judgment effects which the last author and his collaborators had "in the pipeline" as of August 2014. Six findings replicated according to all replication criteria, one finding replicated but with a significantly smaller effect size than the original, one finding replicated consistently in the original culture but not outside of it, and two findings failed to find support. In total, 40% of the original findings failed at least one major replication criterion. Potential ways to implement and incentivize pre-publication independent replication on a large scale are discussed. (C) 2015 The Authors. Published by Elsevier Inc.

    DOI

  • Sequential Analysis of Process

    Poole, M. S, Lambert, N. J, Murase, T, McDonald, J. D, Asencio, R

    Sage Handbook of Process Organization Studies on Quantitative Sequence Methods    2016  [Refereed]  [Invited]

  • Information elaboration, team effectiveness, and environmental turbulence: a motivated information processing perspective corresponding

    Resick, C. J, Murase, T, Randall, K. R, DeChurch, L. A

    Organizational Behavior and Human Decision Processes   124   165 - 176  2014  [Refereed]

  • Mind the Gap: Leadership and the Development of Shared Understanding Between Teams

    Murase, T, Carter, D, DeChurch, L. A, Marks, M

    The Leadership Quarterly   25   972 - 986  2014  [Refereed]

    DOI

  • Collaboration in multiteam systems: The leader and the architect

    DeChurch, L.A, Doty, D.A, Murase, T, Jimenez

    Collaboration in a Comprehensive Approach to Operations: Effective Collaboration in Joint, Multinational, Multiagency Teams and Staffs    2013  [Refereed]

  • Teams Are Changing: Time to "Think Networks"

    Toshio Murase, Daniel Doty, Amy Wax, Leslie A. DeChurch, Noshir S. Contractor

    INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY-PERSPECTIVES ON SCIENCE AND PRACTICE   5 ( 1 ) 41 - 44  2012.03  [Refereed]

    DOI

  • Searching for Outcomes of Leadership: A 25-Year Review

    Nathan J. Hiller, Leslie A. DeChurch, Toshio Murase, Daniel Doty

    JOURNAL OF MANAGEMENT   37 ( 4 ) 1137 - 1177  2011.07  [Refereed]

     View Summary

    A significant question in management research is, "What criteria should be used to evaluate the effects of leadership?" In this review, the authors systematically summarize various ways the field of leadership has (and has not) sought to answer questions about whether, when, and how leadership affects outcomes. A total of 1,161 empirical studies over 25 years, spanning micro- and macro-oriented perspectives, were content coded to answer six basic questions that set the scope of leadership science. The authors first descriptively summarize these criterion issues in the empirical literature and draw comparisons across areas (e.g., To what extent have leader-member exchange, transformational, and strategic leadership research differentially examined various outcomes?). Second, the authors explore the implications of criterion selection issues for the further advancement of leadership theory and offer concrete recommendations for future leadership research.

    DOI

  • Leadership and emergence collective cognition

    Murase, T, Resick, C. J, Jiménez, M, Sanz, E, DeChurch, L. A

    Theories of team cognition: Cross-disciplinary perspectives    2011  [Refereed]

  • Leadership and emergence in organizations

    DeChurch, L. A, Hiller, N. J, Murase, T, Doty, D. A, Salas, E

    The Leadership Quarterly   21   1069 - 1085  2011  [Refereed]

  • Mental Model Metrics and Team Adaptability: A Multi-Facet Multi-Method Examination

    Christian J. Resick, Toshio Murase, Wendy L. Bedwell, Elizabeth Sanz, Miliani Jimenez, Leslie A. DeChurch

    GROUP DYNAMICS-THEORY RESEARCH AND PRACTICE   14 ( 4 ) 332 - 349  2010.12  [Refereed]

     View Summary

    This paper empirically examines the convergent, discriminant, and predictive validity of three team mental model measurement approaches. Specifically, this study measures the similarity (MM-similarity) and quality (MM-quality) facets of team strategy-focused mental models using structural networks, priority rankings, and importance ratings. The convergent and divergent relationships among the three mental model metrics are then examined via a multi-facet multi-method matrix. Finally, the relative utility of each metric for understanding the relationships between team mental models, team adaptability, and decision effectiveness are compared. The study was conducted in a laboratory setting, modeling 56 four-person decision-making teams. Results indicate little convergent and extensive discriminant validity across the three mental model metrics. In addition, only mental models measured using the structural networks metric were found to have predictive validity in relation to team adaptation and performance. The quality and similarity of team structural networks were found to have interactive effects in relation to adaptation such that mental model quality was most strongly related to adaptation for teams with low mental model similarity and unrelated to adaptation for teams with high similarity. In turn, adaptation was critical for team decision effectiveness.

    DOI

  • Coworker Informal Work Accommodations to Family: Scale Development and Validation

    Jessica Mesmer-Magnus, Toshio Murase, Leslie A. DeChurch, Miliani Jimenez

    EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT   70 ( 3 ) 511 - 531  2010.06  [Refereed]

     View Summary

    Drawing on research regarding the utility of coworker support in mitigating work/family conflict, the authors developed a scale to measure Coworker-enacted Informal Work Accommodations to Family (C-IWAF). C-IWAF differs from coworker support in that it describes actual behaviors coworkers engage in to help one another deal with incompatible work and family demands. Results based on a sample of 390 working caregivers provide support for the independence of C-IWAF from other forms of coworker support. Analyses of the factor structure obtained for this instrument indicate that C-IWAF is composed of six unique factors: child care assistance, facilitating telework, continuing work modification, short-term work modification, helping behavior, and deviating behavior. Implications of these results for research and practice are discussed.

    DOI

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Awards

  • The Top Paper Award in the Group Communication Division of the 2015 National Communication Association Conference

    2015   Communication Association Conference  

    Winner: Murase, T, Asencio, R, McDonald, J, Poole M.S, DeChurch, L. A, Contractor, N

  • Best Conference Poster Award in INGRoup

    2015  

    Winner: Asencio, R, Huang, Y, DeChurch, L, Contractor, N, Sawant, A, Murase, T

Specific Research

  • 企業内に存在する認知の溝を埋める管理者行動の探索

    2018  

     View Summary

    本研究は認知の溝を探るため、二つのプロジェクトを平行して行った。一つは、某日系企業の協力のもと、リーダーシップ行動とチームワーク認知のデータをアンケート調査を通じて収集した。現時点の分析結果から分かったことは、リーダーの業務行動はチームワーク認知を向上させないが、ビジョン行動は正の影響を与えることがわかった。この結果は、二つ目のプロジェクトでは、「認知の溝とはいったい何か」というより本質的問題に踏み込み調査を行っている。チームが上手く行ってないとき、「世界観が異なる」などとよく耳にするが、これらの言葉を測定する妥当な尺度は見当たらない。この「世界観」を測定するため、尺度作成を行っている。現時点では、インタビュー調査から、現場の人はどのように感じているかの聞き取り調査を行っている。この聞き取りから質問項目を作成し、世界観の異なりを測定する尺度の構築を目指している。

  • 未来を創造するミドルリーダーシップの探索

    2017  

     View Summary

    本研究は、ミドルリーダーが部署間の連携を高めるため、どのような心理的・社会的障害を見定め、組織の将来の方向性や価値観の部門を越えた形成を探るのが目的である。2017年の活動は、文献レビューを中心に行った。レビューを通じてわかったのが、共通の価値観や認知(Shared mental model)がチームワークでは重要だが、これらの概念が部門間の連携の状況では応用されていない点である。そして、部門間を越えた共通の価値観を構築するとき、リーダーがどのような行動を取るかもあまり理解されていない。2018年は、この理解を更に具体化し、部門間を越えた価値観を形成する過程のリーダーシップの障害と、その生涯を解消する行動をsense makingやshared mental modelの理論に基礎として、モデルを固める。そのモデルに沿ってインタビュー調査を行う予定である。

 

Syllabus

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Teaching Experience

  • Psychological Research Methods for Human Computer Interaction

    Georgia Institute of Technology  

  • Introduction to Statistics

    Roosevelt University  

  • Advanced Research Methods

    Roosevelt University  

  • Intermediate Statistics (ANOVA)

    Roosevelt University  

  • Teams and Groups

    Roosevelt University  

  • Research Methods

    Roosevelt University  

  • Social Networks in Organizations

    Roosevelt University  

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