IDEAS home Printed from https://ideas.repec.org/a/spr/infsem/v19y2021i3d10.1007_s10257-021-00528-1.html
   My bibliography  Save this article

How consumer innovativeness, technological expertise, and consideration set size can explain mobile commerce use: An extended understanding using a moderation–mediation model

Author

Listed:
  • Ho Huy Tuu

    (Nha Trang University)

  • Nguyen Huu Khoi

    (Nha Trang University)

  • Svein Ottar Olsen

    (UiT The Arctic University of Norway)

Abstract

This study integrates consumer innovativeness (CI) and technological expertise (TE) in consumer attitudes and mobile commerce use (MCU) and introduces consumer consideration set size (CSS) as a moderator and a mediator of these relationships. Based on a survey sample of 577 Vietnamese consumers, it uses a structural equation modelling approach to test the hypotheses. The findings show that attitudes, CI, TE, and CSS have direct positive effects on MC use. The results also indicate a significant moderation effect between CI and TE on MCU. In particular, this study demonstrates that CSS is an important moderator and mediator in the relationships between attitudes, CI, TE, and MCU. The inclusion of mediation effects sharply increases the explained variance of MCU from 25.0% to 37.3%, with an effect size of 49.2%, compared with the model that only includes the direct effects. When the moderator effects are added, the explained variance of MCU increases to 51.7%, with an effect size of 38.6%, compared with the mediation model. Thus, the inclusion of mediation and moderation extends our understanding of the innovativeness–attitude–behaviour relationship in explaining MCU. A deeper understanding of the size and structure of the consideration set is essential to obtain a higher consumer adoption rate and increase loyalty, especially for innovative consumers with high TE.

Suggested Citation

  • Ho Huy Tuu & Nguyen Huu Khoi & Svein Ottar Olsen, 2021. "How consumer innovativeness, technological expertise, and consideration set size can explain mobile commerce use: An extended understanding using a moderation–mediation model," Information Systems and e-Business Management, Springer, vol. 19(3), pages 1015-1038, September.
  • Handle: RePEc:spr:infsem:v:19:y:2021:i:3:d:10.1007_s10257-021-00528-1
    DOI: 10.1007/s10257-021-00528-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10257-021-00528-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10257-021-00528-1?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. Grewal, Rajdeep & Mehta, Raj & Kardes, Frank R., 2000. "The role of the social-identity function of attitudes in consumer innovativeness and opinion leadership," Journal of Economic Psychology, Elsevier, vol. 21(3), pages 233-252, June.
    2. Riquelme, Isabel P. & Román, Sergio & Iacobucci, Dawn, 2016. "Consumers' Perceptions of Online and Offline Retailer Deception: A Moderated Mediation Analysis," Journal of Interactive Marketing, Elsevier, vol. 35(C), pages 16-26.
    3. Punj, Girish & Moore, Robert, 2009. "Information search and consideration set formation in a web-based store environment," Journal of Business Research, Elsevier, vol. 62(6), pages 644-650, June.
    4. Andrew Caplin & Mark Dean & John Leahy, 2019. "Rational Inattention, Optimal Consideration Sets, and Stochastic Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 1061-1094.
    5. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
    6. Nel, Jacques & Boshoff, Christo, 2019. "Online customers’ habit-inertia nexus as a conditional effect of mobile-service experience: A moderated-mediation and moderated serial-mediation investigation of mobile-service use resistance," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 282-292.
    7. Key Pousttchi & Maik Dehnert, 2018. "Exploring the digitalization impact on consumer decision-making in retail banking," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 265-286, August.
    8. Yong Liu & Meng Wang & Danyu Huang & Qiang Huang & Hua Yang & Zhigang Li, 2019. "The impact of mobility, risk, and cost on the users’ intention to adopt mobile payments," Information Systems and e-Business Management, Springer, vol. 17(2), pages 319-342, December.
    9. Katrin Arning & Martina Ziefle, 2010. "Ask and You Will Receive: Training Novice Adults to use a PDA in an Active Learning Environment," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 2(1), pages 21-47, January.
    10. Roberts, Scott D. & Dant, Rajiv P., 1991. "Rethinking resource allocation in modern society: A meanings-based approach," Journal of Economic Psychology, Elsevier, vol. 12(3), pages 411-429, September.
    11. Pieters, R. & Verplanken, B., 1995. "Intention-Behaviour consistency : Effects of consideration set size, involvement and need for cognition," Other publications TiSEM 3c86be3d-66f5-4f17-abc0-3, Tilburg University, School of Economics and Management.
    12. Spassova, Gerri & Isen, Alice M., 2013. "Positive affect moderates the impact of assortment size on choice satisfaction," Journal of Retailing, Elsevier, vol. 89(4), pages 397-408.
    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. Loock, Moritz & Hinnen, Gieri, 2015. "Heuristics in organizations: A review and a research agenda," Journal of Business Research, Elsevier, vol. 68(9), pages 2027-2036.
    2. Carlo Baldassi & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Marco Pirazzini, 2020. "A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure," Management Science, INFORMS, vol. 66(11), pages 5075-5093, November.
    3. Tianshi Li & Wenli Li & Yuqing Zhao & Jingpei Ma, 2023. "Rationality manipulation during consumer decision-making process: an analysis of Alibaba’s online shopping carnival," Electronic Commerce Research, Springer, vol. 23(1), pages 331-364, March.
    4. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    5. Lindbeck, Assar & Weibull, Jörgen, 2020. "Delegation of investment decisions, and optimal remuneration of agents," European Economic Review, Elsevier, vol. 129(C).
    6. Chen, Xuqi & Shen, Meng & Gao, Zhifeng, 2017. "Impact of Intra-respondent Variations in Attribute Attendance on Consumer Preference in Food Choice," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258509, Agricultural and Applied Economics Association.
    7. Bartosz Maćkowiak & Filip Matějka & Mirko Wiederholt, 2023. "Rational Inattention: A Review," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 226-273, March.
    8. Qiu, Chun & Zhao, Ping, 2019. "Mobile coupon acquisition and redemption for restaurants: The effects of store clusters as a double-edged sword," Journal of Business Research, Elsevier, vol. 103(C), pages 163-172.
    9. Ketron, Seth & Spears, Nancy, 2021. "Sound-symbolic signaling of online retailer sizes: The moderating effect of shopping goals," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    10. Román, Sergio & Riquelme, Isabel P. & Iacobucci, Dawn, 2023. "Fake or credible? Antecedents and consequences of perceived credibility in exaggerated online reviews," Journal of Business Research, Elsevier, vol. 156(C).
    11. Pedro Longart & Eugenia Wickens & Ali Bakir, 2016. "Consumer Decision Process in Restaurant Selection: An Application of the Stylized EKB Model," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 28(2), pages 173-190.
    12. Daniel R Clark & Dan Li & Dean A Shepherd, 2018. "Country familiarity in the initial stage of foreign market selection," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(4), pages 442-472, May.
    13. Carol L. Esmark & Stephanie M. Noble, 2018. "Retail space invaders: when employees’ invasion of customer space increases purchase intentions," Journal of the Academy of Marketing Science, Springer, vol. 46(3), pages 477-496, May.
    14. Jianjun Miao & Dongling Su, 2023. "Asset market equilibrium under rational inattention," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(1), pages 1-30, January.
    15. Xitong Li & Jörn Grahl & Oliver Hinz, 2022. "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment," Information Systems Research, INFORMS, vol. 33(2), pages 620-637, June.
    16. Ishtiaq Ahmad Bajwa & Shafiq Ur Rehman & Abid Iqbal & Zaheer Anwer & Murtaza Ashiq & Muhammad Ajmal Khan, 2022. "Past, Present and Future of FinTech Research: A Bibliometric Analysis," SAGE Open, , vol. 12(4), pages 21582440221, October.
    17. Cowley, Elizabeth, 2004. "Recognition confidence, recognition accuracy and choice," Journal of Business Research, Elsevier, vol. 57(6), pages 641-646, June.
    18. Civelli, Andrea & Deck, Cary & Tutino, Antonella, 2022. "Attention and choices with multiple states and actions: A laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 199(C), pages 86-102.
    19. Hossein Nasiri Zarandi & Fereshteh Lotfizadeh, 2016. "The Influence of Cognitive Innovativeness on the Behavior and Style of Consumer Adoption: Implications for Electronic-Banking Service Adoption," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 8(5), pages 90-103, October.
    20. Xiangyu Gao & Stefanus Jasin & Sajjad Najafi & Huanan Zhang, 2022. "Joint Learning and Optimization for Multi-Product Pricing (and Ranking) Under a General Cascade Click Model," Management Science, INFORMS, vol. 68(10), pages 7362-7382, October.

    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:spr:infsem:v:19:y:2021:i:3:d:10.1007_s10257-021-00528-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.