IDEAS home Printed from https://ideas.repec.org/a/sae/woemps/v31y2017i2p265-283.html
   My bibliography  Save this article

Union learning representatives in the UK: activity, impact and organization

Author

Listed:
  • Richard Saundry

    (Plymouth University, UK)

  • Valerie Antcliff

    (Manchester Metropolitan University, UK)

  • Alison Hollinrake

    (University of Central Lancashire, UK)

Abstract

The debate over the significance of union learning representatives (ULRs) in the UK has become increasingly polarized. Some commentators see little prospect of ULRs contributing to advancing either workplace learning or union organization due to the constraints of neo-liberal state policy. An opposing view emphasizes union agency in developing a collective approach to learning and extended joint regulation through a process of critical engagement. This article presents analysis of data from the 2009 National Survey of ULRs, which finds a positive relationship between ULR activity and its impact in enhancing training outcomes, increasing union membership and the joint regulation of workplace learning. This supports arguments that agency of ULRs is not inevitably suppressed by the structural limitations of union learning.

Suggested Citation

  • Richard Saundry & Valerie Antcliff & Alison Hollinrake, 2017. "Union learning representatives in the UK: activity, impact and organization," Work, Employment & Society, British Sociological Association, vol. 31(2), pages 265-283, April.
    • Handle: RePEc:sae:woemps:v:31:y:2017:i:2:p:265-283
    DOI: 10.1177/0950017016630247
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0950017016630247
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0950017016630247?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Stefan Boes & Rainer Winkelmann, 2006. "Ordered Response Models," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 12, pages 167-181, Springer.
    2. Antonio Afonso & Pedro Gomes & Philipp Rother, 2009. "Ordered response models for sovereign debt ratings," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 769-773.
    3. John McIlroy, 2008. "Ten Years of New Labour: Workplace Learning, Social Partnership and Union Revitalization in Britain," British Journal of Industrial Relations, London School of Economics, vol. 46(2), pages 283-313, June.
    4. Jason Heyes & Mark Stuart, 1998. "Bargaining for Skills: Trade Unions and Training at the Workplace," British Journal of Industrial Relations, London School of Economics, vol. 36(3), pages 459-467, September.
    5. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
    6. Patricia Findlay & Chris Warhurst, 2011. "Union Learning Funds and Trade Union Revitalization: A New Tool in the Toolkit?," British Journal of Industrial Relations, London School of Economics, vol. 49(Supplemen), pages 115-134, June.
    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. William H. Greene & Mark N. Harris & Rachel J. Knott & Nigel Rice, 2021. "Specification and testing of hierarchical ordered response models with anchoring vignettes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 31-64, January.
    2. Hanen Sdiri & Mohamed Ayadi, 2022. "Does Innovation Foster or Mitigate the Corruption Obstacle? Firm-Level Evidence from Tunisia," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 367-386, March.
    3. Barrington-Leigh, C.P., 2024. "The econometrics of happiness: Are we underestimating the returns to education and income?," Journal of Public Economics, Elsevier, vol. 230(C).
    4. Rosati, Nicoletta & Bellia, Mario & Matos, Pedro Verga & Oliveira, Vasco, 2020. "Ratings matter: Announcements in times of crisis and the dynamics of stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    5. repec:hal:journl:hal-03680153 is not listed on IDEAS
    6. Melcarne, Alessandro & Monnery, Benjamin & Wolff, François-Charles, 2022. "Prosecutors, judges and sentencing disparities: Evidence from traffic offenses in France," International Review of Law and Economics, Elsevier, vol. 71(C).
    7. Lechner, Michael & Okasa, Gabriel, 2019. "Random Forest Estimation of the Ordered Choice Model," Economics Working Paper Series 1908, University of St. Gallen, School of Economics and Political Science.
    8. Robert Perrett & Miguel Martínez Lucio & Jo McBride & Steve Craig, 2012. "Trade Union Learning Strategies and Migrant Workers," Urban Studies, Urban Studies Journal Limited, vol. 49(3), pages 649-667, February.
    9. Diane Pelly, 2023. "Worker Well-Being and Quit Intentions: Is Measuring Job Satisfaction Enough?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 397-441, September.
    10. Cacchiarelli, Luca & Carbone, Anna & Esti, Marco & Laureti, Tiziana & Sorrentino, Alessandro, 2015. "Wine quality and prices: experts vs market," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202750, European Association of Agricultural Economists.
    11. T. Lakshmanasamy, 2022. "Money and Happiness in India: Is Relative Comparison Cardinal or Ordinal and Same for All?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(4), pages 931-957, December.
    12. Sayed Alim Samim & Zhiquan Hu & Sebastian Stepien & Sayed Younus Amini & Ramin Rayee & Kunyu Niu & George Mgendi, 2021. "Food Insecurity and Related Factors among Farming Families in Takhar Region, Afghanistan," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    13. Diane Pelly, 2022. "Worker well-being and quit intentions: is measuring job satisfaction enough?," Working Papers 202204, Geary Institute, University College Dublin.
    14. Tennant, David F. & Tracey, Marlon R. & King, Damien W., 2020. "Sovereign credit rating: Evidence of bias against poor countries," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    15. Zhang, Zhaohui & Paudel, Krishna P., 2019. "Policy improvements and farmers' willingness to participate: Insights from the new round of China's Sloping Land Conversion Program," Ecological Economics, Elsevier, vol. 162(C), pages 121-132.
    16. Xi Wang & Songnian Chen, 2022. "Partial Identification and Estimation of Semiparametric Ordered Response Models with Interval Regressor Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 830-849, August.
    17. Cacchiarelli, Luca & Carbone, Anna & Esti, Marco & Laureti, Tiziana & Sorrentino, Alessandro, 2015. "Assessing the Value of Quality in the Italian Wine Market," 2015 Conference, August 9-14, 2015, Milan, Italy 211379, International Association of Agricultural Economists.
    18. Faisal, Asif & Yigitcanlar, Tan & Paz, Alexander, 2023. "Understanding driverless car adoption: Random parameters ordered probit model for Brisbane, Melbourne and Sydney," Journal of Transport Geography, Elsevier, vol. 110(C).
    19. Jinsuk Yang & Qing Hao & Mahmut Yaşar, 2023. "Institutional investors and cross‐border mergers and acquisitions: The 2000–2018 period," International Review of Finance, International Review of Finance Ltd., vol. 23(3), pages 553-583, September.
    20. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    21. Clara Berridge & Yuanjin Zhou & Julie M. Robillard & Jeffrey Kaye, 2023. "AI Companion Robot Data Sharing: Preferences of an Online Cohort and Policy Implications," Journal of Elder Policy, John Wiley & Sons, vol. 2(3), pages 19-54, June.

    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:sae:woemps:v:31:y:2017:i:2:p:265-283. 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: SAGE Publications (email available below). General contact details of provider: http://www.britsoc.co.uk/ .

    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.