IDEAS home Printed from https://ideas.repec.org/a/igg/jmhci0/v15y2023i1p1-19.html
   My bibliography  Save this article

Predictors of Usability of a Mobile Intelligent Agent Information Provider for College Students

Author

Listed:
  • Rex Perez Bringula

    (University of the East, Philippines)

  • Janszen Kiel L. Jose

    (University of the East, Philippines)

  • Arnelle T. Lardizabal

    (University of the East, Philippines)

  • John Raymon D. Lizaso

    (University of the East, Philippines)

Abstract

This study determined the factors that influenced the usability of a mobile-based intelligent agent called “AskRed.” The design-related factors were evaluated in terms of performance, accuracy, responsiveness, aesthetics, and completeness. The usability of the software was determined in terms of satisfaction and intention to re-use the software. The software received favorable ratings from the students. Experts' software evaluation recommended strengthening the design of the intelligent agent in terms of security, performance, completeness, and ease-of-use. Multiple regression analyses showed that performance and completeness influenced satisfaction and intention to re-use. Aesthetics and responsiveness influenced satisfaction but not intention to re-use. Responsiveness had a negative impact on satisfaction. The predictive powers of the regression equations are 58% and 73%. This study provided empirical evidence on the predictors of usability of an intelligent agent used in a university setting.

Suggested Citation

  • Rex Perez Bringula & Janszen Kiel L. Jose & Arnelle T. Lardizabal & John Raymon D. Lizaso, 2023. "Predictors of Usability of a Mobile Intelligent Agent Information Provider for College Students," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 15(1), pages 1-19, January.
    • Handle: RePEc:igg:jmhci0:v:15:y:2023:i:1:p:1-19
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMHCI.322457
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lumpapun Punchoojit, 2022. "A Correlation Study of Demographic Characteristics and Smartphone Task Performance: A Comparison Between Younger and Elderly Users," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 14(1), pages 1-18, January.
    2. Alalwan, Ali Abdallah, 2020. "Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse," International Journal of Information Management, Elsevier, vol. 50(C), pages 28-44.
    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. Dogra, Nikhil & Adil, Mohd & Sadiq, Mohd & Dash, Ganesh & Paul, Justin, 2023. "Unraveling customer repurchase intention in OFDL context: An investigation using a hybrid technique of SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    2. Sheikh Ashiqurrahman Prince & Ishraat Saira Wahid, 2023. "Halal-organic meat: a successful business and humanitarian model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    3. Shahzad, Khuram & Zhang, Qingyu & Zafar, Abaid Ullah & Ashfaq, Muhammad & Rehman, Shafique Ur, 2023. "The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    4. Das, Manoj & Ramalingam, Mahesh, 2022. "What drives product involvement and satisfaction with OFDs amid COVID-19?," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    5. Kashfia Maisha & Sabakun Naher Shetu, 2023. "Influencing factors of e-learning adoption amongst students in a developing country: the post-pandemic scenario in Bangladesh," Future Business Journal, Springer, vol. 9(1), pages 1-16, December.
    6. Marvello Yang & Jingzu Gao & Qing Yang & Abdullah Al Mamun & Mohammad Masukujjaman & Mohammad Enamul Hoque, 2024. "Modeling the intention to consume and willingness to pay premium price for 3D-printed food in an emerging economy," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    7. Seon Hee Kim & Se Ran Yoo & Hyeon Mo Jeon, 2022. "The role of experiential value, novelty, and satisfaction in robot barista coffee shop in South Korea: COVID-19 crisis and beyond," Service Business, Springer;Pan-Pacific Business Association, vol. 16(3), pages 771-790, September.
    8. Lara Stocchi & Naser Pourazad & Nina Michaelidou & Arry Tanusondjaja & Paul Harrigan, 2022. "Marketing research on Mobile apps: past, present and future," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 195-225, March.
    9. Anbumathi, Rajendiran & Dorai, Sriram & Palaniappan, Umayal, 2023. "Evaluating the role of technology and non-technology factors influencing brand love in Online Food Delivery services," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    10. Torabi, Zabih-Allah & Rezvani, Mohammad Reza & Hall, C. Michael & Allam, Zaheer, 2023. "On the post-pandemic travel boom: How capacity building and smart tourism technologies in rural areas can help - evidence from Iran," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    11. Tsai, Pei-Hsuan & Chen, Chih-Jou & Hsiao, Wei-Hung & Lin, Chin-Tsai, 2023. "Factors influencing the consumers’ behavioural intention to use online food delivery service: Empirical evidence from Taiwan," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    12. Shah, Adnan Muhammad & Abbasi, Amir Zaib & Yan, Xiangbin, 2023. "Do online peer reviews stimulate diners’ continued log-in behavior: Investigating the role of emotions in the O2O meal delivery apps context," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    13. Verma, Anuj & Chakraborty, Debarun & Verma, Meenakshi, 2023. "Barriers of food delivery applications: A perspective from innovation resistance theory using mixed method," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    14. Do Giang Nguyen & Minh-Tri Ha, 2022. "What Makes Users Continue to Want to Use the Digital Platform? Evidence From the Ride-Hailing Service Platform in Vietnam," SAGE Open, , vol. 12(1), pages 21582440211, January.
    15. Nurul Labanihuda Abdull Rahman, 2022. "A Review and Bibliometric Analysis of Online Food Delivery by Using Scopus Database ," GATR Journals jmmr303, Global Academy of Training and Research (GATR) Enterprise.
    16. Lu, Baozhou & Yan, Lixiao & Chen, Zhipeng, 2022. "Perceived values, platform attachment and repurchase intention in on-demand service platforms: A cognition-affection-conation perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    17. Gao Jingzu & Long Siyu & Wu Mengling & Qing Yang & Abdullah Al Mamun & Naeem Hayat, 2024. "Sustainable entrepreneurship through customer satisfaction and reuse intention of online food delivery applications: insights from China," Journal of Innovation and Entrepreneurship, Springer, vol. 13(1), pages 1-22, December.
    18. Chakraborty, Debarun & Siddiqui, Mujahid & Siddiqui, Aaliyah & Paul, Justin & Dash, Ganesh & Mas, Francesca Dal, 2023. "Watching is valuable: Consumer views – Content consumption on OTT platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    19. Vaggelis Saprikis & Giorgos Avlogiaris, 2023. "Modeling users’ acceptance of mobile social commerce: the case of ‘Instagram checkout’," Electronic Commerce Research, Springer, vol. 23(1), pages 511-540, March.
    20. Das, Manoj & Ramalingam, Mahesh, 2023. "To praise or not to praise- Role of word of mouth in food delivery apps," Journal of Retailing and Consumer Services, Elsevier, vol. 74(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:igg:jmhci0:v:15:y:2023:i:1:p:1-19. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.