IDEAS home Printed from https://ideas.repec.org/a/ibn/assjnl/v12y2016i10p208.html

Structural Relationships between Disruptive Attributes and Women Consumers’ Attitude when Using Mobile Retailing

Author

Listed:
  • Azllina Bujang
  • Norbayah Mohd Suki
  • Norazah Mohd Suki

Abstract

This study aims to examine the structural relationship between disruptive attributes and women consumers’ attitude when using Mobile Retailing. A total of 486 completed sets of structured self-administered questionnaires were analyzed using the purposive sampling technique. The sample for this study consisted of Malaysian women who have used Mobile Retailing in the past six months, including mobile retailers and members of women organizations in Malaysia. A Structural Equation Modeling (SEM) technique was used to evaluate the relationship among the hypothesized variables for this study via the Analysis of Moment Structure (AMOS) computer program version 21. Based on the SEM analysis, five significant results and two insignificant results were obtained in regard to the direct relationship between disruptive attribute factors and women consumers’ attitude when using Mobile Retailing. Specifically, reachability, ubiquity, personalization, connectivity, and convenience have a direct, positive relationship with women consumers’ attitude when using Mobile Retailing, whereas mobility and localization have no significant relationship with women consumers’ attitude when using Mobile Retailing. It is vital for retailers to entice female consumers to buy their products. The sellers are able to re-observe and alter their marketing approaches to specific target markets and earn a competitive advantage by recognizing their customers’ personal attitudes and subjective norms, all of which may affect their behavior. The direction for future research concludes this study.

Suggested Citation

  • Azllina Bujang & Norbayah Mohd Suki & Norazah Mohd Suki, 2016. "Structural Relationships between Disruptive Attributes and Women Consumers’ Attitude when Using Mobile Retailing," Asian Social Science, Canadian Center of Science and Education, vol. 12(10), pages 208-208, October.
    • Handle: RePEc:ibn:assjnl:v:12:y:2016:i:10:p:208
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ass/article/download/62013/33885
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/ass/article/view/62013
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sultan, Fareena & Rohm, Andrew J. & Gao, Tao (Tony), 2009. "Factors Influencing Consumer Acceptance of Mobile Marketing: A Two-Country Study of Youth Markets," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 308-320.
    2. Grewal, Dhruv & Bart, Yakov & Spann, Martin & Zubcsek, Peter Pal, 2016. "Mobile Advertising: A Framework and Research Agenda," Journal of Interactive Marketing, Elsevier, vol. 34(C), pages 3-14.
    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. Lucrezia Maria Cosmo & Luigi Piper & Arianna Vittorio, 2021. "The role of attitude toward chatbots and privacy concern on the relationship between attitude toward mobile advertising and behavioral intent to use chatbots," Italian Journal of Marketing, Springer, vol. 2021(1), pages 83-102, June.
    2. Cao, Lanlan & Liu, Xin & Cao, Wenbin, 2018. "The Effects of Search-Related and Purchase-Related Mobile App Additions on Retailers’ Shareholder Wealth: The Roles of Firm Size, Product Category, and Customer Segment," Journal of Retailing, Elsevier, vol. 94(4), pages 343-351.
    3. Anindya Ghose & Avi Goldfarb & Sang Pil Han, 2013. "How Is the Mobile Internet Different? Search Costs and Local Activities," Information Systems Research, INFORMS, vol. 24(3), pages 613-631, September.
    4. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    5. Fuentes, Christian & Bäckström, Kristina & Svingstedt, Anette, 2017. "Smartphones and the reconfiguration of retailscapes: Stores, shopping, and digitalization," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 270-278.
    6. Vinh Truong, 2024. "Optimizing mobile in-app advertising effectiveness using app publishers-controlled factors," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(4), pages 925-943, December.
    7. 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.
    8. Sunday Adewale Olaleye, 2016. "Customer Vs. E-tailer: How Tablet Affects Mobile Commerce," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 224-235, September.
    9. Sharma, Monika & Rahman, Zillur, 2022. "Anthropomorphic brand management: An integrated review and research agenda," Journal of Business Research, Elsevier, vol. 149(C), pages 463-475.
    10. Feng Wang & Li Zuo & Zhi Yang & Yueyan Wu, 2019. "Mobile searching versus online searching: differential effects of paid search keywords on direct and indirect sales," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1151-1165, November.
    11. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro & Gauri, Dinesh K., 2022. "Online and offline retailing: What we know and directions for future research," Journal of Retailing, Elsevier, vol. 98(1), pages 152-177.
    12. Aksoy, Lerzan & Buoye, Alexander & Aksoy, Pelin & Larivière, Bart & Keiningham, Timothy L., 2013. "A Cross-national Investigation of the Satisfaction and Loyalty Linkage for Mobile Telecommunications Services across Eight Countries," Journal of Interactive Marketing, Elsevier, vol. 27(1), pages 74-82.
    13. Scholz, Joachim & Duffy, Katherine, 2018. "We ARe at home: How augmented reality reshapes mobile marketing and consumer-brand relationships," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 11-23.
    14. Watson, Catherine & McCarthy, Jeff & Rowley, Jennifer, 2013. "Consumer attitudes towards mobile marketing in the smart phone era," International Journal of Information Management, Elsevier, vol. 33(5), pages 840-849.
    15. Goneos-Malka, A. & Strasheim, A. & Grobler, A.F., 2014. "Conventionalists, Connectors, Technoisseurs and Mobilarti: Differential profiles of mobile marketing segments based on phone features and postmodern characteristics of consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 905-916.
    16. Iranmanesh, Mohammad & Min, Connie Low & Senali, Madugoda Gunaratnege & Nikbin, Davoud & Foroughi, Behzad, 2022. "Determinants of switching intention from web-based stores to retail apps: Habit as a moderator," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    17. Neeraj Pandey & Vaibhav Maheshwari, 2017. "Four decades of coupon research in pricing: Evolution, development, and practice," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(4), pages 397-416, August.
    18. Daniel Belanche & Luis V. Casaló & Carlos Flavián & Alfredo Pérez-Rueda, 2021. "The role of customers in the gig economy: how perceptions of working conditions and service quality influence the use and recommendation of food delivery services," Service Business, Springer;Pan-Pacific Business Association, vol. 15(1), pages 45-75, March.
    19. Małgorzata Rutkowska & Paweł Bartoszczuk & Uma Shankar Singh, 2021. "Management of Green Consumer Values in Renewable Energy Sources and Eco Innovation in India," Energies, MDPI, vol. 14(21), pages 1-17, October.
    20. Ketelaar, Paul E. & Bernritter, Stefan F. & van Woudenberg, Thabo J. & Rozendaal, Esther & Konig, Ruben P. & Hühn, Arief Ernst & Van Gisbergen, Marnix S. & Janssen, Loes, 2018. "“Opening” location-based mobile ads: How openness and location congruency of location-based ads weaken negative effects of intrusiveness on brand choice," Journal of Business Research, Elsevier, vol. 91(C), pages 277-285.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:assjnl:v:12:y:2016:i:10:p:208. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.