Journal of Advertising and Sales Management

Journal of Advertising and Sales Management

Explaining the pattern of customers' purchase intention in online shopping behavior by considering the variable of online brand trust

Authors
1 PhD student, Department of Business Administration, U.A.E Branch, Islamic Azad University, Dubai, United Arab Emirates.
2 Professor, Department of Business Administration, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran
3 Assistant Professor. Department of Business Management central branch, Islamic Azad University, Tehran, Iran
4 Assistant Professor. Department of statistic & mathematics, north tehranBranch, Islamic Azad University, Tehran, Iran
JABM.3.2.15564.35808
Abstract
Internet shopping is basically the process of buying goods or services using the Internet. Nowadays, Internet shopping is called as the factor with the greatest growth in the virtual space; The general online shopping process, when potential consumers perceive a need for some good or service, they go online and search for information about that need; But in most search activities, potential consumers' needs are captured through information about products or services. They then evaluate the options and choose the one that best fits their criteria for meeting the need. Finally, a transaction is made and mail order service is provided.

The present study seeks to provide a conceptual model to explain the pattern of customers' purchase intention in online shopping behavior by considering the variable of online brand trust and uses the foundation's data strategy, which includes open, central, and selective coding, in order to achieve the research pattern model. has taken.

The research findings in six categories include causal conditions such as the user-friendliness of the website content, background conditions such as the appropriate arrangement of products on the website, intervening conditions such as the user-friendliness of the website design, central conditions such as having an image of the iElectronics icon, strategies such as Market research and results such as brand recommendations are provided to others.
Keywords

Subjects


  1. دانایی‌فرد، حسن، (1394)، روش شناسی مطالعات دلالت پژوهی در علوم اجتماعی و انسانی: بنیان ها، تعاریف، اهمیت، رویکردها و مراحل اجرا. روش شناسی علوم انسانی, 86(22), 39-72.‎

     

    D.K. Ahorsu, C.Y. Lin, V. Imani, M. Saffari, M.D. Griffiths, A.H. Pakpour(2020)The fear of COVID-19 scale: development and initial validation.International Journal of Mental Health and Addiction (2020), 10.1007/s11469-020-00270-8.

     


    L.S. Alaimo, M. Fiore, A. Galati(2020)How the COVID-19 pandemic is changing online food shopping human behaviour in Italy.

     

    1. Baldwin(2019)Silver Economy Spending Power Trends in Europe

    World Data Lab (2019)


    1. Bouri, R. Gupta, D. Roubaud(2019)Herding behaviour in cryptocurrencies

    Finance Res. Lett., 29 (2019), pp. 216-221, 10.1016/j.frl.2018.07.008

    June 2018.


    1. Bu, N. Wang, B. Jiang, Q. Jiang(2021)International journal of information management motivating information system engineers ’ acceptance of privacy by design in China : an extended UTAUT model

    Int. J. Inf. Manag., 60 (April) (2021), rticle 102358, 10.1016/j.ijinfomgt.2021.102358

     


    Y.-W. Chang, J. Chen(2021)What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness

    1. Retailing Consum. Serv., 58 (2021),

    2. Chang, E. Pierson, P.W. Koh, J. Gerardin, B. Redbird, D. Grusky, J. Leskovec

    (2021)Mobility network models of COVID-19 explain inequities and inform reopening.Nature, 589 (7840) (2021), pp. 82-87, 10.1038/s41586-020-2923-3

     


    1. Chayomchai(2021)The online technology acceptance model of generation-Z people in Thailand during COVID-19 crisis

    Manag. Market., 15 (s1) (2020), pp. 496-512, 10.2478/mmcks-2020-0029

     


    1. Clipper(2021)The influence of the COVID-19 pandemic on technology: adoption in health care.Nurse Leader, 18 (5) (2020), pp. 500-503, 10.1016/j.mnl.2020.06.008.

     


    B.L. Dey, W. Al-Karaghouli, S.S. Muhammad(2021)Adoption, adaptation, use and impact of information systems during pandemic time and beyond: research and managerial implications

    Inf. Syst. Manag., 37 (4) (2020), pp. 298-302, 10.1080/10580530.2020.1820632

     

    Y.K. Dwivedi, N.P. Rana, A. Jeyaraj, M. Clement, M.D. Williams(2019)

    Re-examining the unified theory of acceptance and use of technology (UTAUT): towards a revised theoretical model

     

    Y.K. Dwivedi, E. Ismagilova, D.L. Hughes, J. Carlson, R. Filieri, J. Jacobson, V. Jain, H. Karjaluoto, H. Kefi, A.S. Krishen, V. Kumar, M.M. Rahman, R. Raman, P.A. Rauschnabel, J. Rowley, J. Salo, G.A. Tran, Y. Wang(2021)Setting the future of digital and social media marketing research: perspectives and research propositions.

     


    1. Eger, L. Komárková, D. Egerová, M. Mičík(2021)The effect of COVID-19 on consumer shopping behaviour: generational cohort perspective
    2. Retailing Consum. Serv., 61 (2021), Article 102542, 10.1016/j.jretconser.2021.102542.

     


    1. Hoque, G. Sorwar(2017)Understanding factors influencing the adoption of mHealth by the elderly: an extension of the UTAUT model

    Int. J. Med. Inf., 101 (September 2015) (2017), pp. 75-84, 10.1016/j.ijmedinf.2017.02.002

     


    1. Jadil, N.P. Rana, Y.K. Dwivedi(2021)A meta-analysis of the UTAUT model in the mobile banking literature: the moderating role of sample size and culture

     

    S.S. Oh, K.A. Kim, M. Kim, J. Oh, S.H. Chu, J.Y. Choi(2021)Measurement of digital literacy among older adults: systematic review

    1. Med. Internet Res., 23 (2) (2021), 10.2196/26145