IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v65y2016icp58-66.html
   My bibliography  Save this article

Explaining the use of attribute cut-off values in decision making by means of involvement

Author

Listed:
  • Peschel, Anne O.
  • Grebitus, Carola
  • Colson, Gregory
  • Hu, Wuyang

Abstract

In order to lower the cognitive burden of decision making, consumers may apply attribute cut-off values to simplify decision strategies. Products with attributes that do not pass the cut-off values are either not being considered by the individual or are greatly discounted. This study provides new evidence on consumers’ heterogeneous use of attribute cut-offs with a unique focus on the relationship with consumer involvement, a key component in consumer choice theory. Behavioral data from an online choice experiment on beef steak employing shelf simulations are combined with questions defining respondents’ attribute cut-off values and their validated Personal Involvement Inventory (PII). Evidence from the analysis indicates that consumers who are highly involved are more likely to exhibit attribute cut-off values and are less likely to violate their cut-off values. Further investigation using a latent class model identifies several key consumer segments (e.g., a price sensitive group) based on their choice behavior and reveals that the relationship between involvement, cut-off use and cut-off violations is not uniform across consumer segments.

Suggested Citation

  • Peschel, Anne O. & Grebitus, Carola & Colson, Gregory & Hu, Wuyang, 2016. "Explaining the use of attribute cut-off values in decision making by means of involvement," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 58-66.
  • Handle: RePEc:eee:soceco:v:65:y:2016:i:c:p:58-66
    DOI: 10.1016/j.socec.2016.08.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214804316300891
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socec.2016.08.007?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Swait, Joffre & Adamowicz, Wiktor, 2001. "The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 135-148, June.
    2. Danielis, Romeo & Marcucci, Edoardo, 2007. "Attribute cut-offs in freight service selection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(5), pages 506-515, September.
    3. Yulian Ding & Michele M. Veeman & Wiktor L. Adamowicz, 2012. "The influence of attribute cutoffs on consumers' choices of a functional food," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(5), pages 745-769, December.
    4. Jean-Noël Kapferer & Gilles Laurent, 1985. "Consumers Involvement Profiles: New Empirical Result," Post-Print hal-00786784, HAL.
    5. Tonsor, Glynn T. & Schroeder, Ted C. & Fox, John A. & Biere, Arlo W., 2005. "European Preferences for Beef Steak Attributes," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(2), pages 1-14, August.
    6. Moser, Riccarda & Raffaelli, Roberta, 2014. "Does attribute cut-off elicitation affect choice consistency? Contrasting hypothetical and real-money choice experiments," Journal of choice modelling, Elsevier, vol. 11(C), pages 16-29.
    7. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    8. Kar H. Lim & Wuyang Hu & Leigh J. Maynard & Ellen Goddard, 2013. "U.S. Consumers’ Preference and Willingness to Pay for Country-of-Origin-Labeled Beef Steak and Food Safety Enhancements," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 61(1), pages 93-118, March.
    9. Schulz, F. & Hamm, U., 1997. "Der Beitrag des Involvementkonstrukts zur Erklärung des Konsumentenverhaltens beim Kauf von Rindfleisch," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 33.
    10. Glynn T. Tonsor, 2011. "Consumer inferences of food safety and quality," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(2), pages 213-235, June.
    11. Gensch, Dennis H & Javalgi, Rajshekhar G, 1987. "The Influence of Involvement on Disaggregate Attribute Choice Models," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(1), pages 71-82, June.
    12. Greenwald, Anthony G & Leavitt, Clark, 1984. "Audience Involvement in Advertising: Four Levels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 581-592, June.
    13. F. Bailey Norwood & Jayson L. Lusk, 2011. "Social Desirability Bias in Real, Hypothetical, and Inferred Valuation Experiments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 528-534.
    14. Hu, Wuyang, 2007. "Bargains or Rip-offs? Reference Price Effects in Conjoint Stated Demand," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(2), pages 1-17, August.
    15. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    16. Huber, Joel & Klein, Noreen M, 1991. "Adapting Cutoffs to the Choice Environment: The Effects of Attribute Correlation and Reliability," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(3), pages 346-357, December.
    17. Gilles Laurent & Jean-Noël Kapferer, 1985. "Consumer Involvements Profiles: New Empirical Result," Post-Print hal-00820493, HAL.
    18. Swait, Joffre, 2001. "A non-compensatory choice model incorporating attribute cutoffs," Transportation Research Part B: Methodological, Elsevier, vol. 35(10), pages 903-928, November.
    19. Heiner, Ronald A, 1983. "The Origin of Predictable Behavior," American Economic Review, American Economic Association, vol. 73(4), pages 560-595, September.
    20. Grunert, Klaus G. & Hieke, Sophie & Wills, Josephine, 2014. "Sustainability labels on food products: Consumer motivation, understanding and use," Food Policy, Elsevier, vol. 44(C), pages 177-189.
    21. Peschel, Anne & Grebitus, Carola & Steiner, Bodo & Veeman, Michele, 2016. "How does consumer knowledge affect environmentally sustainable choices? Evidence from a cross-country latent class analysis of food labels," MPRA Paper 69864, University Library of Munich, Germany.
    22. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    23. 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.
    24. Edward Oczkowski & Hristos Doucouliagos, 2015. "Wine Prices and Quality Ratings: A Meta-regression Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 103-121.
    25. Larissa Drescher & Jutta Roosen & Stephan Marette, 2014. "The effects of traffic light labels and involvement on consumer choices for food and financial products," Post-Print hal-01173022, HAL.
    26. Martínez, Francisco & Aguila, Felipe & Hurtubia, Ricardo, 2009. "The constrained multinomial logit: A semi-compensatory choice model," Transportation Research Part B: Methodological, Elsevier, vol. 43(3), pages 365-377, March.
    27. Grebitus, Carola & Jensen, Helen H. & Roosen, Jutta & Sebranek, Joseph G., 2013. "Fresh Meat Packaging: Consumer Acceptance of Modified Atmosphere Packaging including Carbon Monoxide," Staff General Research Papers Archive 35611, Iowa State University, Department of Economics.
    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. Linhai Wu & Pingping Liu & Xiujuan Chen & Wuyang Hu & Xuesen Fan, 2021. "Contents of product attributes and the decoy effect: A study on traceable pork from the perspective of consumer utility," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(4), pages 974-984, June.
    2. Oehlmann, Malte & Glenk, Klaus & Lloyd-Smith, Patrick & Meyerhoff, Jürgen, 2021. "Quantifying landscape externalities of renewable energy development: Implications of attribute cut-offs in choice experiments," Resource and Energy Economics, Elsevier, vol. 65(C).

    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. Steiner, B.E. & Peschel, A.O. & Grebitus, C., 2017. "Multi-Product Category Choices Labeled for Ecological Footprints: Exploring Psychographics and Evolved Psychological Biases for Characterizing Latent Consumer Classes," Ecological Economics, Elsevier, vol. 140(C), pages 251-264.
    2. Moser, Riccarda & Raffaelli, Roberta, 2014. "Does attribute cut-off elicitation affect choice consistency? Contrasting hypothetical and real-money choice experiments," Journal of choice modelling, Elsevier, vol. 11(C), pages 16-29.
    3. Román, Concepción & Arencibia, Ana Isabel & Feo-Valero, María, 2017. "A latent class model with attribute cut-offs to analyze modal choice for freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 212-227.
    4. Oehlmann, Malte & Glenk, Klaus & Lloyd-Smith, Patrick & Meyerhoff, Jürgen, 2021. "Quantifying landscape externalities of renewable energy development: Implications of attribute cut-offs in choice experiments," Resource and Energy Economics, Elsevier, vol. 65(C).
    5. Enoch Owusu-Sekyere & Awudu Abdulai & Henry Jordaan & Helena Hansson, 2020. "Heterogeneous demand for ecologically sustainable products on ensuring environmental sustainability in South Africa," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(1), pages 39-64, January.
    6. Yang Yang & Jill E. Hobbs & David C. Natcher, 2020. "The Arctic as a food producing region: Consumer perceptions and market segments," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(4), pages 387-410, December.
    7. Yulian Ding & Michele M. Veeman & Wiktor L. Adamowicz, 2012. "The influence of attribute cutoffs on consumers' choices of a functional food," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(5), pages 745-769, December.
    8. Peschel, Anne & Grebitus, Carola & Steiner, Bodo & Veeman, Michele, 2016. "How does consumer knowledge affect environmentally sustainable choices? Evidence from a cross-country latent class analysis of food labels," MPRA Paper 69864, University Library of Munich, Germany.
    9. Peschel, Anne O. & Grebitus, Carola & Steiner, Bodo & Veeman, Michele, 2015. "A Behavioral Approach to Understanding Green Consumerism Using Latent Class Choice Analysis," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202727, European Association of Agricultural Economists.
    10. Truong, Thuy D. & Adamowicz, Wiktor L. (Vic) & Boxall, Peter C., 2015. "Modeling non-compensatory preferences in environmental valuation," Resource and Energy Economics, Elsevier, vol. 39(C), pages 89-107.
    11. Rebecca Boehm & Hannah Kitchel & Selena Ahmed & Anaya Hall & Colin M. Orians & John Richard Stepp & Al Robbat, Jr. & Timothy S. Griffin & Sean B. Cash, 2019. "Is Agricultural Emissions Mitigation on the Menu for Tea Drinkers?," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    12. Benedict G. C. Dellaert & Joffre Swait & Wiktor L. Vic Adamowicz & Theo A. Arentze & Elizabeth E. Bruch & Elisabetta Cherchi & Caspar Chorus & Bas Donkers & Fred M. Feinberg & A. A. J. Marley & Linda , 2018. "Individuals’ Decisions in the Presence of Multiple Goals," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 51-64, March.
      • Dellaert, B.G.C. & Swait, J. & Adamowicz, W.L. & Arentze, T.A. & Bruch, E.E. & Cherchi, E. & Chorus, C.G. & Donkers, A.C.D. & Feinberg, F.M. & Marley, A.A.J. & Salisbury, L.C., 2017. "Individuals' Decisions in the Presence of Multiple Goals," ERIM Report Series Research in Management ERS-2017-007-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Zhang, Rong & Zhu, Lichao, 2019. "Threshold incorporating freight choice modeling for hinterland leg transportation chain of export containers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 858-872.
    14. María Feo-Valero & Leandro García-Menéndez & Salvador Saz-Salazar, 2016. "Rail freight transport and demand requirements: an analysis of attribute cut-offs through a stated preference experiment," Transportation, Springer, vol. 43(1), pages 101-122, January.
    15. María Feo-Valero & Leandro García-Menéndez & Salvador del Saz-Salazar, 2016. "Rail freight transport and demand requirements: an analysis of attribute cut-offs through a stated preference experiment," Transportation, Springer, vol. 43(1), pages 101-122, January.
    16. Dubey, Subodh & Cats, Oded & Hoogendoorn, Serge & Bansal, Prateek, 2022. "A multinomial probit model with Choquet integral and attribute cut-offs," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 140-163.
    17. Peter Stüttgen & Peter Boatwright & Robert T. Monroe, 2012. "A Satisficing Choice Model," Marketing Science, INFORMS, vol. 31(6), pages 878-899, November.
    18. Mandy Ryan & Mabelle Amaya‐Amaya, 2005. "‘Threats’ to and hopes for estimating benefits," Health Economics, John Wiley & Sons, Ltd., vol. 14(6), pages 609-619, June.
    19. Edenbrandt, Anna Kristina & Lagerkvist, Carl-Johan & Lüken, Malte & Orquin, Jacob L., 2022. "Seen but not considered? Awareness and consideration in choice analysis," Journal of choice modelling, Elsevier, vol. 45(C).
    20. Khakdaman, Masoud & Rezaei, Jafar & Tavasszy, Lóránt, 2022. "Shippers’ willingness to use flexible transportation services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 1-20.

    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:eee:soceco:v:65:y:2016:i:c:p:58-66. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620175 .

    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.