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The Preferences of Consumers When Selecting Clothing Detergent Products

Author

Listed:
  • Andrew R. Kamwendo

    (Department of Marketing & Retail Management, Durban University of Technology, South Africa)

  • Mandusha Maharaj

    (Department of Marketing & Retail Management, Durban University of Technology, South Africa,)

Abstract

The retailing environment has shown that consumer purchases are dependent upon the consideration and subsequent evaluation of product attributes. Consumer’s selection of products are driven by their preferences for the attributes that the products possess. The aim of this study was to investigate product attribute preferences for cross-category shopping products in Durban. The quantitative study design based on a cross-sectional descriptive survey was conducted. The study population consisted of consumers within the city of Durban. The study sampled 213 students selected from three universities in Durban (University A, B and C). Research respondents were chosen using convenience sampling. Respondents were purposely selected based on their capacity to give meaningful information relevant to the study. The Cronbach alpha test was conducted to test for reliability of the first instrument. The results indicated acceptable, consistent scoring patterns for the sections of the research instrument. The study revealed that for clothing detergent products, product form is the most important attribute followed by product effectiveness. It is important to note that significant differences were found in the respondent's preferences for product attributes in terms of the respondent's demographics. For clothing detergents, significant differences were found in terms of respondents preferences for the price, scent, size and product form of clothing detergents. Subsequently, generalised product attribute preferences were obtained. The findings of the study are limited due to the low response rate among older respondents. Future studies may benefit from investigating sub-categories. Moreover, future studies should consider other consumer segmentation methods in order to better understand and classify retail behaviour when developing modelling approaches. Retail managers may benefit from communicating more value for money for their skincare product offerings. Brands that are synonymous with longer lasting products either through offering more volume or products that require less application to achieve desired results may provide a competitive advantage.

Suggested Citation

  • Andrew R. Kamwendo & Mandusha Maharaj, 2022. "The Preferences of Consumers When Selecting Clothing Detergent Products," International Review of Management and Marketing, Econjournals, vol. 12(6), pages 23-36, November.
  • Handle: RePEc:eco:journ3:2022-06-3
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    References listed on IDEAS

    as
    1. Piyush Sharma, 2011. "Country of origin effects in developed and emerging markets: Exploring the contrasting roles of materialism and value consciousness," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 42(2), pages 285-306, February.
    2. Ernest H. Forman & Saul I. Gass, 2001. "The Analytic Hierarchy Process---An Exposition," Operations Research, INFORMS, vol. 49(4), pages 469-486, August.
    3. Mark Crowder, 2015. "Public procurement: the role of cognitive heuristics," Public Money & Management, Taylor & Francis Journals, vol. 35(2), pages 127-134, March.
    4. James S. Dyer & Rakesh K. Sarin, 1979. "Group Preference Aggregation Rules Based on Strength of Preference," Management Science, INFORMS, vol. 25(9), pages 822-832, September.
    5. Kardes, Frank R, et al, 1993. "Brand Retrieval, Consideration Set Composition, Consumer Choice, and the Pioneering Advantage," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(1), pages 62-75, June.
    6. Vithala R. Rao, 2014. "Applied Conjoint Analysis," Springer Books, Springer, edition 127, number 978-3-540-87753-0, September.
    7. Eggers, Felix & Sattler, Henrik, 2009. "Hybrid individualized two-level choice-based conjoint (HIT-CBC): A new method for measuring preference structures with many attribute levels," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 108-118.
    8. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    9. Parment, Anders, 2013. "Generation Y vs. Baby Boomers: Shopping behavior, buyer involvement and implications for retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 20(2), pages 189-199.
    10. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    11. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
    12. Timothy J. Gilbride & Greg M. Allenby, 2004. "A Choice Model with Conjunctive, Disjunctive, and Compensatory Screening Rules," Marketing Science, INFORMS, vol. 23(3), pages 391-406, October.
    13. Hauser, John R & Wernerfelt, Birger, 1990. "An Evaluation Cost Model of Consideration Sets," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(4), pages 393-408, March.
    14. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    15. Paul E. Green & Abba M. Krieger & Yoram Wind, 2001. "Thirty Years of Conjoint Analysis: Reflections and Prospects," Interfaces, INFORMS, vol. 31(3_supplem), pages 56-73, June.
    16. Joseph F. Hair & Christian M. Ringle & Siegfried P. Gudergan & Andreas Fischer & Christian Nitzl & Con Menictas, 2019. "Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 115-142, April.
    17. Butler, John C. & Dyer, James S. & Jia, Jianmin & Tomak, Kerem, 2008. "Enabling e-transactions with multi-attribute preference models," European Journal of Operational Research, Elsevier, vol. 186(2), pages 748-765, April.
    18. Scholl, Armin & Manthey, Laura & Helm, Roland & Steiner, Michael, 2005. "Solving multiattribute design problems with analytic hierarchy process and conjoint analysis: An empirical comparison," European Journal of Operational Research, Elsevier, vol. 164(3), pages 760-777, August.
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    More about this item

    Keywords

    Attributes preferences; conjoint analysis; consideration set; clothing detergent; heuristics; product category;
    All these keywords.

    JEL classification:

    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising
    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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