IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v36y2009i2p204-228.html
   My bibliography  Save this article

Shopping-Related Attitudes: A Factor and Cluster Analysis of Northern California Shoppers

Author

Listed:
  • Patricia L Mokhtarian

    (Department of Civil and Environmental Engineering, and Institute of Transportation Studies, University of California, Davis, CA 95616, USA)

  • David T Ory

    (Parsons Brinckerhoff, 1401 K Street, NW, Suite 701, Washington, DC 20005, USA)

  • Xinyu Cao

    (Humphrey Institute of Public Affairs, University of Minnesota, 301 19th Avenue South, Minneapolis, MN 55455, USA)

Abstract

This paper presents an analysis of general shopping and travel-related attitudes collected from a custom-designed Internet-based survey conducted in the spring of 2006, of randomly selected residents of two communities in Northern California. These and other data collected in the survey will eventually lead to models of shopping mode (channel) choice, intention, and frequency among other analyses. In this early examination of the data ( N = 966), exploratory factor analysis is performed to identify the conceptual constructs underlying a group of forty-two general shopping-related attitudinal statements, with which respondents agreed or disagreed on a five-point Likert-type scale. From the nineteen potential constructs identified in the design stage, thirteen dimensions emerged empirically: shopping and store enjoyment, price and time consciousness, impulse buying, materialism, trust, caution, trendsetting, and opinions with respect to credit card usage, technology, exercise, and the environment. Cluster analysis is then conducted to identify seven market segments having different attitudinal profiles: store shopaholics (15%), bichannel shopaholics (14%), time-starved worriers (16%), nonmaterialistic greens (16%), unwired antishoppers (14%), practical and leisure-oriented (13%), and technoconservatives (11%). These segments differ significantly, in logical ways, on a number of sociodemographic and other characteristics, including shopping channel choices. Thus, more detailed investigations of choice behavior using these market segments should prove fruitful.

Suggested Citation

  • Patricia L Mokhtarian & David T Ory & Xinyu Cao, 2009. "Shopping-Related Attitudes: A Factor and Cluster Analysis of Northern California Shoppers," Environment and Planning B, , vol. 36(2), pages 204-228, April.
    • Handle: RePEc:sae:envirb:v:36:y:2009:i:2:p:204-228
    DOI: 10.1068/b34015t
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b34015t
    Download Restriction: no
    File URL: https://libkey.io/10.1068/b34015t?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. Cao, XinYu & Mokhtarian, Patricia L, 2005. "The Intended and Actual Adoption of Online Purchasing: A Brief Review of Recent Literature," Institute of Transportation Studies, Working Paper Series qt45q5p1vb, Institute of Transportation Studies, UC Davis.
    2. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    3. Ory, David T & Mokhtarian, Patricia L, 2007. "Description of a Northern California Shopping Survey Data Collection Effort," Institute of Transportation Studies, Working Paper Series qt7k9413nw, Institute of Transportation Studies, UC Davis.
    4. Cao, XinYu & Mokhtarian, Patricia L, 2005. "The Intended and Actual Adoption of Online Purchasing: A Brief Review of Recent Literature," Institute of Transportation Studies, Working Paper Series qt095934s0, Institute of Transportation Studies, UC Davis.
    5. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "The Intended and Actual Adoption of Online Purchasing: A Brief Review of Recent Literature," University of California Transportation Center, Working Papers qt5z75n416, University of California Transportation Center.
    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. Brand, Christian & Schwanen, Tim & Anable, Jillian, 2020. "‘Online Omnivores’ or ‘Willing but struggling’? Identifying online grocery shopping behavior segments using attitude theory," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    2. Qing Zhai & Xinyu Cao & Patricia L. Mokhtarian & Feng Zhen, 2017. "The interactions between e-shopping and store shopping in the shopping process for search goods and experience goods," Transportation, Springer, vol. 44(5), pages 885-904, September.
    3. Al Haddad, Christelle & Chaniotakis, Emmanouil & Straubinger, Anna & Plötner, Kay & Antoniou, Constantinos, 2020. "Factors affecting the adoption and use of urban air mobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 696-712.
    4. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    5. Tang, Wei & Mokhtarian, Patricia L, 2009. "Accounting for Taste Heterogeneity in Purchase Channel Intention Modeling: An Example from Northern California for Book Purchases," Institute of Transportation Studies, Working Paper Series qt9mg5s5g8, Institute of Transportation Studies, UC Davis.
    6. Tang, Wei & Mokhtarian, Patricia L, 2009. "Accounting for Taste Heterogeneity in Purchase Channel Intention Modeling: An Example from Northern California for Book Purchases," Institute of Transportation Studies, Working Paper Series qt3v25m8dc, Institute of Transportation Studies, UC Davis.
    7. Jonas De Vos & Patricia L. Mokhtarian & Tim Schwanen & Veronique Van Acker & Frank Witlox, 2016. "Travel mode choice and travel satisfaction: bridging the gap between decision utility and experienced utility," Transportation, Springer, vol. 43(5), pages 771-796, September.
    8. Kim, Sung Hoo & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "Identifying latent mode-use propensity segments in an all-AV era," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 192-207.
    9. Xi, Guangliang & Cao, Xinyu & Zhen, Feng, 2020. "The impacts of same day delivery online shopping on local store shopping in Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 35-47.
    10. Becky P. Y. Loo & Bo Wang, 2018. "Factors associated with home-based e-working and e-shopping in Nanjing, China," Transportation, Springer, vol. 45(2), pages 365-384, March.
    11. Colaço, Rui & de Abreu e Silva, João, 2022. "Exploring the e-shopping geography of Lisbon: Assessing online shopping adoption for retail purchases and food deliveries using a 7-day shopping survey," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    12. Minh Hieu Nguyen & Jimmy Armoogum & Binh Nguyen Thi, 2021. "Factors Affecting the Growth of E-Shopping over the COVID-19 Era in Hanoi, Vietnam," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    13. Oleksandr Rossolov & Yusak O. Susilo, 2023. "Are consumers ready to pay extra for crowd-shipping e-groceries and why? A hybrid choice analysis for developing economies," Papers 2303.07044, arXiv.org.
    14. Mokhtarian, Patricia & Tang, Wei Laura, 2011. "Trivariate Probit Models of Pre-purchase/ Purchase Shopping Channel Choice: Clothing Purchases in Northern California," Institute of Transportation Studies, Working Paper Series qt03v2q5b7, Institute of Transportation Studies, UC Davis.
    15. Basil Schmid & Milos Balac & Kay W. Axhausen, 2019. "Post-Car World: data collection methods and response behavior in a multi-stage travel survey," Transportation, Springer, vol. 46(2), pages 425-492, April.
    16. Shah, Harsh & Carrel, Andre L. & Le, Huyen T.K., 2021. "What is your shopping travel style? Heterogeneity in US households’ online shopping and travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 83-98.
    17. Rossolov, Oleksandr & Susilo, Yusak O., 2024. "Are consumers ready to pay extra for crowd-shipping e-groceries and why? A hybrid choice analysis for developing economies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    18. Xinyu Cao & Zhiyi Xu & Frank Douma, 2012. "The interactions between e-shopping and traditional in-store shopping: an application of structural equations model," Transportation, Springer, vol. 39(5), pages 957-974, September.

    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. Tang, Wei & Mokhtarian, Patricia L, 2009. "Accounting for Taste Heterogeneity in Purchase Channel Intention Modeling: An Example from Northern California for Book Purchases," Institute of Transportation Studies, Working Paper Series qt3v25m8dc, Institute of Transportation Studies, UC Davis.
    2. Tang, Wei & Mokhtarian, Patricia L, 2009. "Accounting for Taste Heterogeneity in Purchase Channel Intention Modeling: An Example from Northern California for Book Purchases," Institute of Transportation Studies, Working Paper Series qt9mg5s5g8, Institute of Transportation Studies, UC Davis.
    3. Patricia L. Mokhtarian & Wei (Laura) Tang, 2013. "Trivariate probit models of pre-purchase/purchase shopping channel choice: clothing purchases in Northern California," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 12, pages 243-273, Edward Elgar Publishing.
    4. Punj, Girish, 2011. "Effect of Consumer Beliefs on Online Purchase Behavior: The Influence of Demographic Characteristics and Consumption Values," Journal of Interactive Marketing, Elsevier, vol. 25(3), pages 134-144.
    5. Yue-Teng Wong, 2013. "Personal Characteristics and Hedonic Shopping Orientation on Apparel Adult Shoppers’ Repatronage Behavioral Intention," Journal of Economics and Behavioral Studies, AMH International, vol. 5(8), pages 505-510.
    6. Pengyu Zhu & Liping Wang & Yanpeng Jiang & Jiangping Zhou, 2018. "Metropolitan size and the impacts of telecommuting on personal travel," Transportation, Springer, vol. 45(2), pages 385-414, March.
    7. Clemes, Michael D. & Gan, Christopher & Zhang, Junli, 2014. "An empirical analysis of online shopping adoption in Beijing, China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(3), pages 364-375.
    8. Xinyu Cao & Zhiyi Xu & Frank Douma, 2012. "The interactions between e-shopping and traditional in-store shopping: an application of structural equations model," Transportation, Springer, vol. 39(5), pages 957-974, September.
    9. Pérez-Hernández, Javier & Sánchez-Mangas, Rocío, 2011. "To have or not to have Internet at home: Implications for online shopping," Information Economics and Policy, Elsevier, vol. 23(3), pages 213-226.
    10. Ory, David T & Mokhtarian, Patricia L, 2007. "Description of a Northern California Shopping Survey Data Collection Effort," Institute of Transportation Studies, Working Paper Series qt39w9w743, Institute of Transportation Studies, UC Davis.
    11. Ory, David T & Mokhtarian, Patricia L, 2007. "Description of a Northern California Shopping Survey Data Collection Effort," Institute of Transportation Studies, Working Paper Series qt7k9413nw, Institute of Transportation Studies, UC Davis.
    12. Martin Dijst & Sendy Farag & Tim Schwanen, 2008. "A Comparative Study of Attitude Theory and other Theoretical Models for Understanding Travel Behaviour," Environment and Planning A, , vol. 40(4), pages 831-847, April.
    13. Li Mo & Xiaosan Zhang & Yabin Lin & Zhenghui Yuan & Zengjun Peng, 2023. "Consumers’ Attitudes towards Online Advertising: A Model of Personalization, Informativeness, Privacy Concern and Flow Experience," Sustainability, MDPI, vol. 15(5), pages 1-12, February.
    14. Un-Kon Lee, 2021. "The Effect of Confirmation of Nation Brand Image in International Tourism Advertisement on Travel Intention of Foreign Tourists: The Case of Korean ITA for Chinese Tourists," SAGE Open, , vol. 11(1), pages 21582440209, January.
    15. Nitin Walia & Mark Srite & Wendy Huddleston, 2016. "Eyeing the web interface: the influence of price, product, and personal involvement," Electronic Commerce Research, Springer, vol. 16(3), pages 297-333, September.
    16. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    17. Barbara Mróz-Gorgoń & Wojciech Wodo & Anna Andrych & Katarzyna Caban-Piaskowska & Cyprian Kozyra, 2022. "Biometrics Innovation and Payment Sector Perception," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    18. Pham Minh & Dang Thao Yen & Ngo Thi Huong Quynh & Hoang Thi Hong Yen & Tran Thi Thanh Nga & Nguyen Van Quoc, 2021. "Assessment of influencer’s effects on customers’ online purchasing behavior in Vietnam," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 11(2), pages 81-96.
    19. Baabdullah, Abdullah M. & Alalwan, Ali Abdallah & Algharabat, Raed S. & Metri, Bhimaraya & Rana, Nripendra P., 2022. "Virtual agents and flow experience: An empirical examination of AI-powered chatbots," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    20. Reema Nofal & Pelin Bayram & Okechukwu Lawrence Emeagwali & Lu’ay Al-Mu’ani, 2022. "The Effect of eWOM Source on Purchase Intention: The Moderation Role of Weak-Tie eWOM," Sustainability, MDPI, vol. 14(16), pages 1-20, August.

    More about this item

    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:sae:envirb:v:36:y:2009:i:2:p:204-228. 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: .

    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.