IDEAS home Printed from https://ideas.repec.org/p/cdl/indrel/qt8sc9k91b.html
   My bibliography  Save this paper

Cultural Effects on Employee Loyalty in Japan and The U. S.: Individual- or Organization-Level? An Analysis of Plant and Employee Survey Data from the 80’s

Author

Listed:
  • Lincoln, James R.
  • Doerr, Bernadette

Abstract

This paper uses 1980’s survey data on large samples of American and Japanese factories and their employees to examine how organization (factory) cultures then differed between Japan and the U. S. and how they affected employee loyalty – intention to leave or stay. Central to the analysis is the idea, taken from Blau’s seminal 1962 paper, that cultural effects may operate at the individual-level through the values, beliefs, and norms employees accept and “internalize” but also at the group- (including organization-) level through the mechanism of social pressure aimed at inducing conformity. Following Benedict’s classic attribution of a “shame” culture to Japan and “guilt” culture to the U. S., we predict and find that cultural dimensions pertaining to company paternalism/familism and group work shape employee loyalty chiefly at the organization-level in Japan and chiefly at the individual-level in the U. S. This conclusion is qualified, however, by the finding that in both countries the “strength” (within-plant variance) of the culture conditions the size of the cultural effects. They are larger when the culture is stronger. Apart from question of the level at which cultural effects operate, we find, consistent with most expectations, that Japanese employees are more loyal (that is, less inclined to quit) in the presence of organization cultures favoring paternalism/familism, groupism, and vertical cohesion (close/frequent supervision). The reverse is in general true of the American employees.

Suggested Citation

  • Lincoln, James R. & Doerr, Bernadette, 2012. "Cultural Effects on Employee Loyalty in Japan and The U. S.: Individual- or Organization-Level? An Analysis of Plant and Employee Survey Data from the 80’s," Institute for Research on Labor and Employment, Working Paper Series qt8sc9k91b, Institute of Industrial Relations, UC Berkeley.
  • Handle: RePEc:cdl:indrel:qt8sc9k91b
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/8sc9k91b.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.
    2. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    3. Quigley, John M. & Raphael, Steven, 2008. "Neighborhoods, Economic Self-Sufficiency, and the MTO Program," Berkeley Program on Housing and Urban Policy, Working Paper Series qt1nd2t0pw, Berkeley Program on Housing and Urban Policy.
    4. Tyler J. VanderWeele, 2011. "Sensitivity Analysis for Contagion Effects in Social Networks," Sociological Methods & Research, , vol. 40(2), pages 240-255, May.
    5. Kenneth A. Frank & Kyle Fahrbach, 1999. "Organization Culture as a Complex System: Balance and Information in Models of Influence and Selection," Organization Science, INFORMS, vol. 10(3), pages 253-277, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaren Haber, 2016. "Institutionalized Involvement: Teams and Stress in 1990s U.S. Steel," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 55(4), pages 632-661, October.

    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. Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, September.
    2. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    3. Clifton-Sprigg, Joanna, 2014. "Educational spillovers and parental migration," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 2015-46, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Marco Tonello, 2011. "Mechanisms of peer interactions between native and non-native students: rejection or integration?," Working Papers 2011/21, Institut d'Economia de Barcelona (IEB).
    5. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: A Survey," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 603-629, August.
    6. Bet Caeyers, 2014. "Peer effects in development programme awareness of vulnerable groups in rural Tanzania," CSAE Working Paper Series 2014-11, Centre for the Study of African Economies, University of Oxford.
    7. Kang, Changhui, 2007. "Classroom peer effects and academic achievement: Quasi-randomization evidence from South Korea," Journal of Urban Economics, Elsevier, vol. 61(3), pages 458-495, May.
    8. James Farrell, 2019. "Peer Effects Among Teachers: A Study of Retirement Investments," Journal of Family and Economic Issues, Springer, vol. 40(3), pages 486-497, September.
    9. Xu Lin, 2010. "Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 825-860, October.
    10. Adriaan R Soetevent & Peter Kooreman, 2005. "Social Ties within School Classes: The Roles of Gender, Ethnicity, and Having Older Siblings," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 21(3), pages 373-391, Autumn.
    11. Yao, Yuxin & Ohinata, Asako & van Ours, Jan C., 2016. "The Educational Consequences of Language Proficiency for Young Children," IZA Discussion Papers 9800, Institute of Labor Economics (IZA).
    12. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
    13. Weinhardt, Felix, 2014. "Social housing, neighborhood quality and student performance," Journal of Urban Economics, Elsevier, vol. 82(C), pages 12-31.
    14. Chesney, Alexander J., 2022. "Should I get a master’s degree?," Economics of Education Review, Elsevier, vol. 91(C).
    15. Silvia Mendolia & Alfredo R Paloyo & Ian Walker, 2018. "Heterogeneous effects of high school peers on educational outcomes," Oxford Economic Papers, Oxford University Press, vol. 70(3), pages 613-634.
    16. Lugo, Maria Ana, 2011. "Heterogenous peer effects, segregation and academic attainment," Policy Research Working Paper Series 5718, The World Bank.
    17. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    18. Masakazu Hojo & Takashi Oshio, 2012. "What Factors Determine Student Performance in East Asia? New Evidence from the 2007 Trends in International Mathematics and Science Study," Asian Economic Journal, East Asian Economic Association, vol. 26(4), pages 333-357, December.
    19. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    20. Sund, Krister, 2009. "Estimating peer effects in Swedish high school using school, teacher, and student fixed effects," Economics of Education Review, Elsevier, vol. 28(3), pages 329-336, June.

    More about this item

    Keywords

    Business; Employee Loyalty; Japan; United States;
    All these keywords.

    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:cdl:indrel:qt8sc9k91b. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/irucbus.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.