IDEAS home Printed from https://ideas.repec.org/a/sae/ausman/v11y1986i1p97-115.html
   My bibliography  Save this article

Examining Perceptions of and Preferences for Different Wage Systems: A Joint Space Approach

Author

Listed:
  • Geoffrey N. Soutar

    (Western Australian Institute of Technology.)

  • Norman F. Dufty

    (University of Western Australia.)

  • Lawson K. Savery

    (Western Australian Institute of Technology.)

Abstract

Wage systems have an significant impact on the community and, over the years, a variety of wage policies have been used in Australia. The basic attitudes of political parties, the union movement and employer organisations are well known but public opinion has not been extensively probed. A sample of adults in Perth, Western Australia was asked a series of questions about five wage policies. Joint mapping procedures were used to explore the cognitive dimensions by which people evaluated such policies and the preferences they had towards them. The results obtained are outlined and discussed.

Suggested Citation

  • Geoffrey N. Soutar & Norman F. Dufty & Lawson K. Savery, 1986. "Examining Perceptions of and Preferences for Different Wage Systems: A Joint Space Approach," Australian Journal of Management, Australian School of Business, vol. 11(1), pages 97-115, June.
    • Handle: RePEc:sae:ausman:v:11:y:1986:i:1:p:97-115
    DOI: 10.1177/031289628601100107
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/031289628601100107
    Download Restriction: no
    File URL: https://libkey.io/10.1177/031289628601100107?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. Moore, William L., 1982. "Predictive power of joint space models constructed with composition techniques," Journal of Business Research, Elsevier, vol. 10(2), pages 217-236, June.
    2. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    3. Forrest Young, 1970. "Nonmetric multidimensional scaling: Recovery of metric information," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 455-473, December.
    4. Glenn Milligan, 1980. "An examination of the effect of six types of error perturbation on fifteen clustering algorithms," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 325-342, September.
    5. Wilton, Peter C & Pessemier, Edgar A, 1981. "Forecasting the Ultimate Acceptance of an Innovation: The Effects of Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(2), pages 162-171, September.
    6. Hauser, John R & Urban, Glen L, 1979. "Assessment of Attribute Importances and Consumer Utility Functions: von Neumann-Morgenstern Theory Applied to Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(4), pages 251-262, March.
    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. Florian Schreiber, 2017. "Identification of customer groups in the German term life market: a benefit segmentation," Annals of Operations Research, Springer, vol. 254(1), pages 365-399, July.
    2. Leonard Greenhalg & Scott A. Neslin, 1981. "Conjoint Analysis of Negotiator Preferences," Journal of Conflict Resolution, Peace Science Society (International), vol. 25(2), pages 301-327, June.
    3. Winfried Steiner & Harald Hruschka, 2002. "A Probabilistic One-Step Approach to the Optimal Product Line Design Problem Using Conjoint and Cost Data," Review of Marketing Science Working Papers 1-4-1003, Berkeley Electronic Press.
    4. Merja Halme & Kari Linden & Kimmo Kääriä, 2009. "Patients’ Preferences for Generic and Branded Over-the-Counter Medicines," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 2(4), pages 243-255, December.
    5. Kim, Junyung & Shah, Asad Ullah Amin & Kang, Hyun Gook, 2020. "Dynamic risk assessment with bayesian network and clustering analysis," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    6. Li, Hui & Xu, Yunjie & Huang, Lihua, 2021. "When less is more? The contingent effect of product supply limitation in the release of new electronic products," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    7. Ali Abdelzadeh, 2014. "The Impact of Political Conviction on the Relation Between Winning or Losing and Political Dissatisfaction," SAGE Open, , vol. 4(2), pages 21582440145, May.
    8. Bordt, Michael, 2018. "Discourses in Ecosystem Accounting: A Survey of the Expert Community," Ecological Economics, Elsevier, vol. 144(C), pages 82-99.
    9. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    10. Fusco, Elisa, 2023. "Potential improvements approach in composite indicators construction: The Multi-directional Benefit of the Doubt model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    11. Xue, Hong & Mainville, Denise Y. & You, Wen & Nayga, Rodolfo M., Jr., 2009. "Nutrition Knowledge, Sensory Characteristics and Consumers’ Willingness to Pay for Pasture-Fed Beef," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49277, Agricultural and Applied Economics Association.
    12. Barbara Baarsma, 2003. "The Valuation of the IJmeer Nature Reserve using Conjoint Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(3), pages 343-356, July.
    13. Kowalska-Pyzalska, Anna & Michalski, Rafał & Kott, Marek & Skowrońska-Szmer, Anna & Kott, Joanna, 2022. "Consumer preferences towards alternative fuel vehicles. Results from the conjoint analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    14. Balepur, Prashant Narayan, 1998. "Impacts of Computer-Mediated Communication on Travel and Communication Patterns: The Davis Community Network Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6cb1f85c, Institute of Transportation Studies, UC Berkeley.
    15. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
    16. Horna, J. Daniela & Smale, Melinda & von Oppen, Matthias, 2005. "Private Participation In Agricultural Extension In Nigeria And Benin: Determining The Willingness To Pay For Information," 2005 Annual meeting, July 24-27, Providence, RI 19401, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Glenn Milligan, 1981. "A monte carlo study of thirty internal criterion measures for cluster analysis," Psychometrika, Springer;The Psychometric Society, vol. 46(2), pages 187-199, June.
    18. Geertsema, Paul & Lu, Helen, 2020. "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, vol. 119(C).
    19. John Liechty & Duncan Fong & Eelko Huizingh & Arnaud Bruyn, 2008. "Hierarchical Bayesian conjoint models incorporating measurement uncertainty," Marketing Letters, Springer, vol. 19(2), pages 141-155, June.
    20. Christian P Theurer & Andranik Tumasjan & Isabell M Welpe, 2018. "Contextual work design and employee innovative work behavior: When does autonomy matter?," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-35, October.

    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:ausman:v:11:y:1986:i:1:p:97-115. 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.agsm.edu.au .

    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.