IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt095934s0.html
   My bibliography  Save this paper

The Intended and Actual Adoption of Online Purchasing: A Brief Review of Recent Literature

Author

Listed:
  • Cao, XinYu
  • Mokhtarian, Patricia L

Abstract

The rapid growth of e-commerce is imposing profound impacts on modern society. On the supply side, the emergence of e-commerce is greatly changing the operation behavior of some retailers and is increasing product internationalization due to its geographically unlimited nature. On the demand side, the pervasiveness of e-commerce affects how, where, and when consumers shop, and indirectly influences the way in which we live our lives. However, the development of e-commerce is still in an early stage, and why consumers choose (or do not choose) online purchasing is far from being completely understood. To better evaluate and anticipate those profound impacts of e-commerce, therefore, it is important to further refine our understanding of consumers' e-shopping behavior. A number of studies have investigated e-shopping behavior, and reviewing them is valuable for further improving our understanding. This report aims to summarize previous e-shopping research in a systematic way. In this review, we are interested primarily in the potential benefits and costs that the internet offers for the business-to-consumer segment of e-commerce in the transaction (purchase) channel. An overview of the 65 empirical studies analyzed in this report is provided in the Appendix. Most previous studies fall into one or more of several theoretical frameworks, including the theory of reasoned action, the theory of planned behavior, the technology acceptance model, transaction cost theory, innovation diffusion theory, and others. Among them, social psychological theories (the theory of reasoned action, the theory of planned behavior, the technology acceptance model) were widely applied. As shown in the applications of different theories, e-shopping behavior is not a simple decision process, and thus an integration of various theories is necessary to deal with its complexities. We suggest synthesizing these theories through the development of a comprehensive list of benefits and costs, using ea
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • 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.
    • Handle: RePEc:cdl:itsdav:qt095934s0
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/095934s0.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Choi, Jayoung & Geistfeld, Loren V., 2004. "A cross-cultural investigation of consumer e-shopping adoption," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 821-838, December.
    2. Gefen, David & Straub, Detmar W., 2004. "Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services," Omega, Elsevier, vol. 32(6), pages 407-424, December.
    3. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    4. Van den Poel, Dirk & Buckinx, Wouter, 2005. "Predicting online-purchasing behaviour," European Journal of Operational Research, Elsevier, vol. 166(2), pages 557-575, October.
    5. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
    6. Teo, Thompson S.H. & Yu, Yuanyou, 2005. "Online buying behavior: a transaction cost economics perspective," Omega, Elsevier, vol. 33(5), pages 451-465, October.
    7. Van den Poel, Dirk & Leunis, Joseph, 1999. "Consumer Acceptance of the Internet as a Channel of Distribution," Journal of Business Research, Elsevier, vol. 45(3), pages 249-256, July.
    8. Chen, Lei-Da & Tan, Justin, 2004. "Technology Adaptation in E-commerce:: Key Determinants of Virtual Stores Acceptance," European Management Journal, Elsevier, vol. 22(1), pages 74-86, February.
    9. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    10. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    11. Berry, Leonard L. & Parasuraman, A. & Zeithaml, Valarie A., 1988. "The service-quality puzzle," Business Horizons, Elsevier, vol. 31(5), pages 35-43.
    12. Patricia Mokhtarian, 2004. "A conceptual analysis of the transportation impacts of B2C e-commerce," Transportation, Springer, vol. 31(3), pages 257-284, August.
    13. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "Segmenting consumers based on the benefits and risks of Internet shopping," Journal of Business Research, Elsevier, vol. 57(12), pages 1352-1360, December.
    14. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    15. Teo, Thompson S. H. & Yeong, Yon Ding, 2003. "Assessing the consumer decision process in the digital marketplace," Omega, Elsevier, vol. 31(5), pages 349-363, October.
    16. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    17. 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.
    18. Koyuncu, Cuneyt & Bhattacharya, Gautam, 2004. "The impacts of quickness, price, payment risk, and delivery issues on on-line shopping," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(2), pages 241-251, April.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.

    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. Elpida TENIDOU & Dimosthenis PAPPAS & Ioannis KAZANIDIS & Stavros VALSAMIDIS, 2016. "The Usage Of E-Commerce In The Area Of Evros, Greece," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 15(2), pages 3-19.
    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. Arif Hasan & S. K. Gupta, 2020. "Exploring Tourists’ Behavioural Intentions Towards Use of Select Mobile Wallets for Digital Payments," Paradigm, , vol. 24(2), pages 177-194, December.
    4. Barnes, Stuart J. & Vidgen, Richard T., 2014. "Technology socialness and Web site satisfaction," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 12-25.
    5. Sang Soo Kim, 2020. "Purchase Intention in the Online Open Market: Do Concerns for E-Commerce Really Matter?," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    6. Cansu TÜRKER & Abdullah OKUMUŞ, 2019. "Mobil Ödeme Kullanımına Yönelik Niyet ve Algıların SosyoDemografik Özelliklere Göre Farklılıklarının İncelenmesi," Istanbul Management Journal, Istanbul University Business School, vol. 0(87), pages 111-139, December.
    7. Taylor, David G. & Strutton, David, 2010. "Has e-marketing come of age? Modeling historical influences on post-adoption era Internet consumer behaviors," Journal of Business Research, Elsevier, vol. 63(9-10), pages 950-956, September.
    8. Chong, Lee-Lee & Ong, Hway-Boon & Tan, Siow-Hooi, 2021. "Acceptability of mobile stock trading application: A study of young investors in Malaysia," Technology in Society, Elsevier, vol. 64(C).
    9. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    10. repec:dgr:rugsom:04f04 is not listed on IDEAS
    11. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    12. Fernanda Leão Ramos & Jorge Brantes Ferreira & Angilberto Sabino de Freitas & Juliana Werneck Rodrigues, 2018. "The Effect of Trust in the Intention to Use m-banking," Brazilian Business Review, Fucape Business School, vol. 15(2), pages 175-191, March.
    13. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    14. Rahman Ummeh Habiba Faria Benteh & Zafar Muhammad Khubaib, 2020. "Factors Influencing Uber Adoption In Bangladesh And Pakistan," Open Economics, De Gruyter, vol. 3(1), pages 86-97, January.
    15. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    16. Juan F. Tavera Mesías & Juan C. Sánchez Giraldo & Bernardo Ballesteros Díaz, 2011. "Aceptación del E-Commerce en Colombia: un estudio para la ciudad de Medellín," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, December.
    17. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    18. Kamal Abubker Abrahim Sleiman & Lan Juanli & Hongzhen Lei & Ru Liu & Yuanxin Ouyang & Wenge Rong, 2021. "User Trust levels and Adoption of Mobile Payment Systems in China: An Empirical Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    19. Nasser Hamidi & Tahmineh Torabi Rad & Alireza Jahany, 2012. "Evaluation Of Factors Influencing Tendency Towards E- Banking In Bank Customers," Far East Journal of Marketing and Management, Far East Research Centre, vol. 2(3), pages 25-42, August.
    20. Domina, Tanya & Lee, Seung-Eun & MacGillivray, Maureen, 2012. "Understanding factors affecting consumer intention to shop in a virtual world," Journal of Retailing and Consumer Services, Elsevier, vol. 19(6), pages 613-620.
    21. Mariani, Marcello M. & Ek Styven, Maria & Teulon, Fréderic, 2021. "Explaining the intention to use digital personal data stores: An empirical study," Technological Forecasting and Social Change, Elsevier, vol. 166(C).

    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:cdl:itsdav:qt095934s0. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    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.