IDEAS home Printed from https://ideas.repec.org/a/sae/ausman/v42y2017i3p462-481.html
   My bibliography  Save this article

Modeling the habit of self-service technology usage

Author

Listed:
  • Cheng Wang

    (International Business School Suzhou, Xi’an Jiaotong-Liverpool University, Suzhou, China)

  • Jennifer Harris
  • Paul G Patterson

Abstract

Prior self-service technology (SST) studies focus primarily on the initial adoption and its drivers. However, the long-term viability and success of an SST depend on regular and frequent usage. Therefore, this study draws on social psychology and information system/information technology literature to investigate the habit of SST usage and its driving forces. Using panel data pertaining to 626 Australian customers who used a supermarket self-checkout machine over 12 weeks, the results reveal a strong carryover effect of habit. Satisfaction and self-efficacy positively contribute to habit development. Past behavior exerts an impact through frequency and recency effects. Moreover, the driving forces of habit are more complicated for men than for women. The findings provide important implications for service providers planning technology upgrades. The results suggest that to prevent habit disruption, gradual improvements are a better and safer strategy than introducing a new, disruptive technology.

Suggested Citation

  • Cheng Wang & Jennifer Harris & Paul G Patterson, 2017. "Modeling the habit of self-service technology usage," Australian Journal of Management, Australian School of Business, vol. 42(3), pages 462-481, August.
  • Handle: RePEc:sae:ausman:v:42:y:2017:i:3:p:462-481
    DOI: 10.1177/0312896216640862
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0312896216640862
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0312896216640862?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. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    3. Jolley, Bill & Mizerski, Richard & Olaru, Doina, 2006. "How habit and satisfaction affects player retention for online gambling," Journal of Business Research, Elsevier, vol. 59(6), pages 770-777, June.
    4. Bagozzi, Richard P & Warshaw, Paul R, 1990. "Trying to Consume," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(2), pages 127-140, September.
    5. Oh, Haemoon & Jeong, Miyoung & Baloglu, Seyhmus, 2013. "Tourists' adoption of self-service technologies at resort hotels," Journal of Business Research, Elsevier, vol. 66(6), pages 692-699.
    6. Prins, R. & Verhoef, P.C., 2007. "Marketing Communication Drivers of Adoption Timing of a New E-Service among Existing Customers," ERIM Report Series Research in Management ERS-2007-018-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.
    7. Pradeep K. Chintagunta, 1993. "Investigating Purchase Incidence, Brand Choice and Purchase Quantity Decisions of Households," Marketing Science, INFORMS, vol. 12(2), pages 184-208.
    Full references (including those not matched with items on IDEAS)

    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. Chen, Chia-Chen & Chang, Chin-Hsuan & Hsiao, Kuo-Lun, 2022. "Exploring the factors of using mobile ticketing applications: Perspectives from innovation resistance theory," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    2. Christian Maier & Sven Laumer & Jason Bennett Thatcher & Jakob Wirth & Tim Weitzel, 2022. "Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation," Information Systems Research, INFORMS, vol. 33(2), pages 489-514, June.
    3. El Barachi, May & Salim, Taghreed Abu & Nyadzayo, Munyaradzi W. & Mathew, Sujith & Badewi, Amgad & Amankwah-Amoah, Joseph, 2022. "The relationship between citizen readiness and the intention to continuously use smart city services: Mediating effects of satisfaction and discomfort," Technology in Society, Elsevier, vol. 71(C).
    4. Cheolho Yoon & Byongcheon Choi, 2020. "Role of Situational Dependence in the Use of Self-Service Technology," Sustainability, MDPI, vol. 12(11), pages 1-11, June.
    5. Son, Minhee & Han, Kyesook, 2011. "Beyond the technology adoption: Technology readiness effects on post-adoption behavior," Journal of Business Research, Elsevier, vol. 64(11), pages 1178-1182.
    6. Rosenbaum, Mark S. & Wong, IpKin Anthony, 2015. "If you install it, will they use it? Understanding why hospitality customers take “technological pauses” from self-service technology," Journal of Business Research, Elsevier, vol. 68(9), pages 1862-1868.
    7. Kim, Jiyeon & Forsythe, Sandra, 2008. "Adoption of Virtual Try-on technology for online apparel shopping," Journal of Interactive Marketing, Elsevier, vol. 22(2), pages 45-59.
    8. Chun Liu & Kam Hung, 2020. "A comparative study of self-service technology with service employees: a qualitative analysis of hotels in China," Information Technology & Tourism, Springer, vol. 22(1), pages 33-52, March.
    9. Lin, Chiu Hui & Wu, Chih-Wen & Cheng, Yi-Han, 2015. "The empirical study of consumers' loyalty for display technology," Journal of Business Research, Elsevier, vol. 68(11), pages 2260-2265.
    10. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    11. Tseng, Shu-Mei, 2015. "Exploring the intention to continue using web-based self-service," Journal of Retailing and Consumer Services, Elsevier, vol. 24(C), pages 85-93.
    12. repec:dau:papers:123456789/8263 is not listed on IDEAS
    13. Ben Mimoun, Mohamed Slim & Lancelot Miltgen, Caroline & Slama, Boulbeba, 2022. "Is the shopper always the king/queen? Study of omnichannel retail technology use and shopping orientations," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    14. Hye Jin Sung & Hyeon Mo Jeon, 2020. "Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    15. Adapa, Sujana & Fazal-e-Hasan, Syed Muhammad & Makam, Sathyaprakash Balaji & Azeem, Muhammad Masood & Mortimer, Gary, 2020. "Examining the antecedents and consequences of perceived shopping value through smart retail technology," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    16. Markus Blut & Cheng Wang, 2020. "Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage," Journal of the Academy of Marketing Science, Springer, vol. 48(4), pages 649-669, July.
    17. Małecka, Agnieszka & Mitręga, Maciej & Mróz-Gorgoń, Barbara & Pfajfar, Gregor, 2022. "Adoption of collaborative consumption as sustainable social innovation: Sociability and novelty seeking perspective," Journal of Business Research, Elsevier, vol. 144(C), pages 163-179.
    18. Bilgihan, Anil & Madanoglu, Melih & Ricci, Peter, 2016. "Service attributes as drivers of behavioral loyalty in casinos: The mediating effect of attitudinal loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 14-21.
    19. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
    20. Risselada, Hans & Verhoef, Peter C. & Bijmolt, Tammo H.A., 2010. "Staying Power of Churn Prediction Models," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 198-208.
    21. David R. Bell & Jeongwen Chiang & V. Padmanabhan, 1999. "The Decomposition of Promotional Response: An Empirical Generalization," Marketing Science, INFORMS, vol. 18(4), pages 504-526.

    More about this item

    Keywords

    Habit; longitudinal study; panel regression; self-service technology;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    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:ausman:v:42:y:2017:i:3:p:462-481. 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: http://www.agsm.edu.au .

    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.