IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/117452.html
   My bibliography  Save this paper

Knowledge creation through multimodal communication

Author

Listed:
  • Berliant, Marcus
  • Fujita, Masahisa

Abstract

Knowledge creation either in isolation or joint with another person, using either face to face or internet contact, incorporating internet search ability is analyzed. In addition to formal knowledge, tacit knowledge plays an essential role in the knowledge production process. Due to a myopic decision rule used by knowledge workers, the sink point of the dynamic system is found not be the most effective long run profile for knowledge creation. The framework is applied to pandemic restrictions on face to face communication; workers with longer commutes experience less of a relative productivity loss from restrictions than workers with shorter commutes.

Suggested Citation

  • Berliant, Marcus & Fujita, Masahisa, 2023. "Knowledge creation through multimodal communication," MPRA Paper 117452, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:117452
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/117452/1/Knowledge_Creation_through_Multiple_Modes_of_Communications_May_26.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Marcus Berliant & Masahisa Fujita, 2008. "Knowledge Creation As A Square Dance On The Hilbert Cube," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(4), pages 1251-1295, November.
    2. Hiroyasu Inoue & Kentaro Nakajima & Tetsuji Okazaki & Yukiko U. Saito, 2022. "The Role of Face-to-face Contact on Innovation: Evidence from the Spanish Flu Pandemic in Japan," CIGS Working Paper Series 22-007E, The Canon Institute for Global Studies.
    3. Marcus Berliant & Masahisa Fujita, 2011. "The Dynamics of Knowledge Diversity and Economic Growth," Southern Economic Journal, John Wiley & Sons, vol. 77(4), pages 856-884, April.
    4. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    5. Berliant, Marcus & Fujita, Masahisa, 2012. "Culture and diversity in knowledge creation," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 648-662.
    6. Marcus Berliant & Masahisa Fujita, 2009. "Dynamics of knowledge creation and transfer: The two person case," International Journal of Economic Theory, The International Society for Economic Theory, vol. 5(2), pages 155-179, June.
    7. MORIKAWA Masayuki, 2020. "Productivity of Working from Home during the COVID-19 Pandemic: Evidence from an Employee Survey," Discussion papers 20073, Research Institute of Economy, Trade and Industry (RIETI).
    8. Marcus Berliant & Masahisa Fujita, 2011. "The Dynamics of Knowledge Diversity and Economic Growth," Southern Economic Journal, John Wiley & Sons, vol. 77(4), pages 856-884, April.
    9. Diego Battiston & Jordi Blanes i Vidal & Tom Kirchmaier, 2021. "Face-to-Face Communication in Organizations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(2), pages 574-609.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Berliant, Marcus & Fujita, Masahisa, 2012. "Culture and diversity in knowledge creation," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 648-662.
    2. José M. Gaspar, 2018. "A prospective review on New Economic Geography," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 237-272, September.
    3. Tadashi Yagi, 2014. "Knowledge Creation by Consumers and Optimal Strategies of Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(3), pages 585-596, September.
    4. Pierpaolo Parrotta & Dario Pozzoli & Mariola Pytlikova, 2014. "The nexus between labor diversity and firm’s innovation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(2), pages 303-364, April.
    5. Ryusuke Ihara, 2011. "Agglomeration with the pros and cons of labor heterogeneity," ERSA conference papers ersa11p528, European Regional Science Association.
    6. Fumihiko Isada & Yuriko Isada, 2015. "Trans-nationalisation of a main office in a multinational firm," International Journal of Business and Management, International Institute of Social and Economic Sciences, vol. 3(4), pages 15-40, November.
    7. Eduardo A. Haddad & Jesus P. Mena-Chalco, Otávio J.G. Sidone, 2016. "Produção Científica e Redes de Colaboração dos Docentes Vinculados aos Programas de Pós-graduação em Economia no Brasil," Working Papers, Department of Economics 2016_10, University of São Paulo (FEA-USP).
    8. Max Nathan, 2015. "Same difference? Minority ethnic inventors, diversity and innovation in the UK," Journal of Economic Geography, Oxford University Press, vol. 15(1), pages 129-168.
    9. Byeongwoo Kang & Kaoru Nabeshima, 2021. "National origin diversity and innovation performance: the case of Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5333-5351, June.
    10. Kekezi, Orsa, 2021. "Diversity of experience and labor productivity in creative industries," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-18.
    11. Tomohiro MACHIKITA & Yasushi UEKI, 2011. "Impacts of Incoming Knowledge on Product Innovation: Technology Transfer in Auto-related Industries in Developing Economies," Working Papers DP-2011-08, Economic Research Institute for ASEAN and East Asia (ERIA).
    12. Trax, Michaela & Brunow, Stephan & Suedekum, Jens, 2015. "Cultural diversity and plant-level productivity," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 85-96.
    13. Ryusuke Ihara & Shizu Yamamoto, 2016. "Role of tolerance in communication with diverse people," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 191-202, January.
    14. Todo, Yasuyuki & Matous, Petr & Inoue, Hiroyasu, 2016. "The strength of long ties and the weakness of strong ties: Knowledge diffusion through supply chain networks," Research Policy, Elsevier, vol. 45(9), pages 1890-1906.
    15. Sam Tavassoli & Nunzia Carbonara, 2014. "The role of knowledge variety and intensity for regional innovation," Small Business Economics, Springer, vol. 43(2), pages 493-509, August.
    16. Max Nathan, 2013. "Top Team Demographics, Innovation and Business Performance: Findings from English Firms and Cities 2008-9," SERC Discussion Papers 0129, Centre for Economic Performance, LSE.
    17. Gianmarco I.P. Ottaviano & Giovanni Prarolo, 2009. "Cultural Identity And Knowledge Creation In Cosmopolitan Cities," Journal of Regional Science, Wiley Blackwell, vol. 49(4), pages 647-662, October.
    18. Nathan, Max, 2013. "Top team demographics, innovation and business performance: findings from English firms and cities 2008-9," LSE Research Online Documents on Economics 59250, London School of Economics and Political Science, LSE Library.
    19. Ceren Ozgen, 2021. "The economics of diversity: Innovation, productivity and the labour market," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1168-1216, September.
    20. Ihara, Ryusuke, 2019. "Heterogeneous labor and agglomeration over generations," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 367-381.

    More about this item

    Keywords

    Knowledge creation; Tacit knowledge; Multimodal communication; Pandemic restrictions;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:117452. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.