IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v65y2012i5p634-640.html
   My bibliography  Save this article

Income effects on relative importance of two online purchase goals: Saving time versus saving money?

Author

Listed:
  • Punj, Girish

Abstract

The premise of the article is that income levels influence the relative importance of two objectives most consumers identify as reasons for shopping online, namely, saving time and saving money. The paper proposes and examines twin hypotheses that higher-income consumers may be more interested in saving time, while lower-income consumers may be more interested in saving money. The results show that higher-income consumers exhibit a greater tendency toward saving time than lower-income consumers, while the relationship between income level and saving money is less certain. The findings have important implications for marketing managers and public policy makers. Marketing managers need to be aware of the relative importance of saving time versus saving money to online shoppers while selecting the product assortment to be made available online. Public policy makers want to educate lower-income consumers on the importance of having saving money as an important shopping goal.

Suggested Citation

  • Punj, Girish, 2012. "Income effects on relative importance of two online purchase goals: Saving time versus saving money?," Journal of Business Research, Elsevier, vol. 65(5), pages 634-640.
  • Handle: RePEc:eee:jbrese:v:65:y:2012:i:5:p:634-640
    DOI: 10.1016/j.jbusres.2011.03.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296311000968
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2011.03.003?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Leclerc, France & Schmitt, Bernd H & Dube, Laurette, 1995. "Waiting Time and Decision Making: Is Time like Money?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(1), pages 110-119, June.
    2. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    3. Rohm, Andrew J. & Swaminathan, Vanitha, 2004. "A typology of online shoppers based on shopping motivations," Journal of Business Research, Elsevier, vol. 57(7), pages 748-757, July.
    4. Austan Goolsbee & Peter J. Klenow, 2006. "Valuing Consumer Products by the Time Spent Using Them: An Application to the Internet," American Economic Review, American Economic Association, vol. 96(2), pages 108-113, May.
    5. Gilly, Mary C & Zeithaml, Valarie A, 1985. "The Elderly Consumer and Adoption of Technologies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 353-347, December.
    6. Ernest J. Wilson III, 2004. "The Information Revolution and Developing Countries," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262232308, December.
    7. Biswas, Dipayan, 2004. "Economics of information in the Web economy: Towards a new theory?," Journal of Business Research, Elsevier, vol. 57(7), pages 724-733, July.
    8. Edward Comor, 2000. "Household Consumption on the Internet: Income, Time, and Institutional Contradictions," Journal of Economic Issues, Taylor & Francis Journals, vol. 34(1), pages 105-116, March.
    9. Duxbury, Darren & Keasey, Kevin & Zhang, Hao & Chow, Shue Loong, 2005. "Mental accounting and decision making: Evidence under reverse conditions where money is spent for time saved," Journal of Economic Psychology, Elsevier, vol. 26(4), pages 567-580, August.
    10. Goldfarb, Avi & Prince, Jeff, 2008. "Internet adoption and usage patterns are different: Implications for the digital divide," Information Economics and Policy, Elsevier, vol. 20(1), pages 2-15, March.
    11. Goldman, Arieh & Johansson, J K, 1978. "Determinants of Search for Lower Prices: An Empirical Assessment of the Economics of Information Theory," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(3), pages 176-186, December.
    12. Bradford F. Mills & Brian E. Whitacre, 2003. "Understanding the Non‐Metropolitan—Metropolitan Digital Divide," Growth and Change, Wiley Blackwell, vol. 34(2), pages 219-243, June.
    13. Beatty, Sharon E & Smith, Scott M, 1987. "External Search Effort: An Investigation across Several Product Categories," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(1), pages 83-95, June.
    14. Doti, James L & Sharir, Shumel, 1981. "Households' Grocery Shopping Behavior in the Short-Run: Theory and Evidence," Economic Inquiry, Western Economic Association International, vol. 19(2), pages 196-208, April.
    15. Bertrand, Marianne & Shafir, Eldar & Mullainathan, Sendhil, 2006. "Behavioral Economics and Marketing in Aid of Decision Making Among the Poor," Scholarly Articles 2962609, Harvard 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. Gabler, Colin B. & Myles Landers, V. & Reynolds, Kristy E., 2017. "Purchase decision regret: Negative consequences of the Steadily Increasing Discount strategy," Journal of Business Research, Elsevier, vol. 76(C), pages 201-208.
    2. Ariansyah, Kasmad & Sirait, Emyana Ruth Eritha & Nugroho, Badar Agung & Suryanegara, Muhammad, 2021. "Drivers of and barriers to e-commerce adoption in Indonesia: Individuals’ perspectives and the implications," Telecommunications Policy, Elsevier, vol. 45(8).
    3. Yeo, Vincent Cheow Sern & Goh, See-Kwong & Rezaei, Sajad, 2017. "Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 150-162.
    4. Chatterjee, Subimal & Rai, Dipankar & Heath, Timothy B., 2016. "Tradeoff between time and money: The asymmetric consideration of opportunity costs," Journal of Business Research, Elsevier, vol. 69(7), pages 2560-2566.
    5. Kacprzak, Agnieszka & Dziewanowska, Katarzyna, 2019. "Investigating the influence of consumer socio-demographic characteristics on the preferred type of consumption experience," Journal of East European Management Studies, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 24(4), pages 513-544.
    6. Xu, Lina & Roy, Abhijit, 2022. "Cashback as cash forward: The serial mediating effect of time/effort and money savings," Journal of Business Research, Elsevier, vol. 149(C), pages 30-37.
    7. Dasom Lee & David J. Hess, 2022. "Public concerns and connected and automated vehicles: safety, privacy, and data security," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    8. Cheng, Zhiming, 2021. "Education and consumption: Evidence from migrants in Chinese cities," Journal of Business Research, Elsevier, vol. 127(C), pages 206-215.
    9. Xing, Xinyu & Song, Mengmeng & Duan, Yucong & Mou, Jian, 2022. "Effects of different service failure types and recovery strategies on the consumer response mechanism of chatbots," Technology in Society, Elsevier, vol. 70(C).
    10. Ramon Palau-Saumell & Santiago Forgas-Coll & Javier Sánchez-García & Emilio Robres, 2019. "User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    11. Ernest Emeka Izogo & Chanaka Jayawardhena, 2019. "Building committed online shoppers through shopping goals and switching cost," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 127-140, September.
    12. Bhatnagar, Amit & Syam, Siddhartha S., 2014. "Allocating a hybrid retailer's assortment across retail stores: Bricks-and-mortar vs online," Journal of Business Research, Elsevier, vol. 67(6), pages 1293-1302.
    13. Kacprzak, Agnieszka & Pawłowska, Anna, 2017. "Work and shopping overflow — Consequences and differentiation among selected psychological and demographic characteristics," European Management Journal, Elsevier, vol. 35(6), pages 755-765.
    14. Hou, Jianwei & Elliott, Kevin, 2021. "Mobile shopping intensity: Consumer demographics and motivations," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    15. Vakulenko, Yulia & Arsenovic, Jasenko & Hellström, Daniel & Shams, Poja, 2022. "Does delivery service differentiation matter? Comparing rural to urban e-consumer satisfaction and retention," Journal of Business Research, Elsevier, vol. 142(C), pages 476-484.
    16. Kulshreshtha, Kushagra & Sharma, Gunjan, 2022. "From restaurant to cloud kitchen: Survival of the fittest during COVID-19 An empirical examination," Technological Forecasting and Social Change, Elsevier, vol. 179(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. 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.
    2. Girish Punj, 2013. "Do consumers who conduct online research also post online reviews? A model of the relationship between online research and review posting behavior," Marketing Letters, Springer, vol. 24(1), pages 97-108, March.
    3. Akhter, Syed H., 2003. "Digital divide and purchase intention: Why demographic psychology matters," Journal of Economic Psychology, Elsevier, vol. 24(3), pages 321-327, June.
    4. Frank J. van Rijnsoever & Martin J. Dijst & Carolina Castaldi, 2009. "Involvement and use of multiple search channels in the automobile purchase process," Innovation Studies Utrecht (ISU) working paper series 09-06, Utrecht University, Department of Innovation Studies, revised Apr 2009.
    5. DeSarbo, Wayne S. & Choi, Jungwhan, 1998. "A latent structure double hurdle regression model for exploring heterogeneity in consumer search patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 423-455, November.
    6. Murthi, B.P.S. & Rao, Ram C., 2012. "Price Awareness and Consumers’ Use of Deals in Brand Choice," Journal of Retailing, Elsevier, vol. 88(1), pages 34-46.
    7. Cheema, Amar & Papatla, Purushottam, 2010. "Relative importance of online versus offline information for Internet purchases: Product category and Internet experience effects," Journal of Business Research, Elsevier, vol. 63(9-10), pages 979-985, September.
    8. Akhter, Syed H., 2012. "Who spends more online? The influence of time, usage variety, and privacy concern on online spending," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 109-115.
    9. Biswas, Dipayan, 2004. "Economics of information in the Web economy: Towards a new theory?," Journal of Business Research, Elsevier, vol. 57(7), pages 724-733, July.
    10. Namwoon Kim & Jin K. Han & Rajendra K. Srivastava, 2002. "A Dynamic IT Adoption Model for the SOHO Market: PC Generational Decisions with Technological Expectations," Management Science, INFORMS, vol. 48(2), pages 222-240, February.
    11. Stephen McDonald & Colin Wren, 2017. "Consumer Search Ability, Price Dispersion and the Digital Divide," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(2), pages 234-250, April.
    12. Talukdar, Debabrata & Gauri, Dinesh K. & Grewal, Dhruv, 2010. "An Empirical Analysis of the Extreme Cherry Picking Behavior of Consumers in the Frequently Purchased Goods Market," Journal of Retailing, Elsevier, vol. 86(4), pages 336-354.
    13. Bertrand Kian Hassani & Yacoub Bahini, 2022. "Relationships between ESG Disclosure and Economic Growth: A Critical Review," JRFM, MDPI, vol. 15(11), pages 1-23, November.
    14. Binkley, James K. & Bejnarowicz, John, 1999. "Consumer Price Awareness In Food Shopping: The Case Of Quantity Surcharges," 1999 Annual meeting, August 8-11, Nashville, TN 21512, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Nathan M. Fong, 2017. "How Targeting Affects Customer Search: A Field Experiment," Management Science, INFORMS, vol. 63(7), pages 2353-2364, July.
    16. Christopher Y. Olivola & Stephanie W. Wang, 2016. "Patience auctions: the impact of time vs. money bidding on elicited discount rates," Experimental Economics, Springer;Economic Science Association, vol. 19(4), pages 864-885, December.
    17. Andre Boik & Shane Greenstein & Jeffrey Prince, 2016. "The Empirical Economics of Online Attention," Working Papers id:11100, eSocialSciences.
    18. González Chapela, Jorge, 2016. "Disentangling income and price effects in the demand for time online," Information Economics and Policy, Elsevier, vol. 35(C), pages 65-75.
    19. 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).
    20. Mikkonen, Karri & Niskanen, Hanna & Pynnönen, Mikko & Hallikas, Jukka, 2015. "The presence of emotional factors: An empirical exploration of bundle purchasing process," Telecommunications Policy, Elsevier, vol. 39(8), pages 642-657.

    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:jbrese:v:65:y:2012:i:5:p:634-640. 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/jbusres .

    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.