IDEAS home Printed from https://ideas.repec.org/a/cmj/networ/y2013i1p61-67.html
   My bibliography  Save this article

Evaluating Skills And Challenges As Antecedents Of Compelling Online Information-Seeking Experiences

Author

Listed:
  • Alina LAZOC
  • Dina Maria LUȚ

    (Dimitrie Cantemir Christian University, Faculty of Management in Tourism and Commerce Timisoara, Romania)

Abstract

In contemporary information societies, consumers are increasingly expected to be proficient users of online information to support and guide their buying decisions. Due to the world wide web and its availability on a wide range of connectable devices, information from infinite commercial and non-commercial sources can be instantly accessed and used. However, consumers’ level of self-efficacy in dealing with technology and the wide range of information content as well as the extent to which they feel cognitively challenged by the technological and content issues may significantly influence the intensity of their involvement with companies’ marketing information. Based on the online flow theory, describing total involvement experiences, as well as on recent developments of the information literacy construct, in the present paper we propose a research instrument for assessing two essential preconditions of optimal, highly engaging consumer online information-seeking experiences. We posit that consumers have compelling online search experiences when the level of both their technical and their cognitive skills match the informational challenges perceived in the online medium. Nevertheless, the following study represents only the first step in a complex scale development process and in building and testing the structural model describing causal relationships between flow constructs.

Suggested Citation

  • Alina LAZOC & Dina Maria LUȚ, 2013. "Evaluating Skills And Challenges As Antecedents Of Compelling Online Information-Seeking Experiences," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 1, pages 61-67, July.
    • Handle: RePEc:cmj:networ:y:2013:i:1:p:61-67
    as

    Download full text from publisher

    File URL: http://seaopenresearch.eu/Journals/articles/NIS_1_7.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    2. Gary Marchionini, 1989. "Information‐seeking strategies of novices using a full‐text electronic encyclopedia," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(1), pages 54-66, January.
    3. Hoffman, Donna L. & Novak, Thomas P., 2009. "Flow Online: Lessons Learned and Future Prospects," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 23-34.
    4. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    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. Baabdullah, Abdullah M. & Alalwan, Ali Abdallah & Algharabat, Raed S. & Metri, Bhimaraya & Rana, Nripendra P., 2022. "Virtual agents and flow experience: An empirical examination of AI-powered chatbots," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    2. Morgan-Thomas, Anna & Veloutsou, Cleopatra, 2013. "Beyond technology acceptance: Brand relationships and online brand experience," Journal of Business Research, Elsevier, vol. 66(1), pages 21-27.
    3. Han, Sang-Lin & An, Myounga & Han, Jerry J. & Lee, Jiyoung, 2020. "Telepresence, time distortion, and consumer traits of virtual reality shopping," Journal of Business Research, Elsevier, vol. 118(C), pages 311-320.
    4. repec:cmj:networ:y:2013:i:1:p:74-80 is not listed on IDEAS
    5. Chen, Chongyang & Zhang, Kem Z.K. & Gong, Xiang & Zhao, Sesia J. & Lee, Matthew K.O. & Liang, Liang, 2017. "Understanding compulsive smartphone use: An empirical test of a flow-based model," International Journal of Information Management, Elsevier, vol. 37(5), pages 438-454.
    6. Lazoc Alina, 2012. "Developing And Proposing A Conceptual Model Of The Flow Experience During Online Information Search," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1154-1160, July.
    7. Arghashi, Vahideh & Yuksel, Cenk Arsun, 2022. "Interactivity, Inspiration, and Perceived Usefulness! How retailers’ AR-apps improve consumer engagement through flow," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    8. Gao, Lingling & Bai, Xuesong, 2014. "Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 653-665.
    9. Li Wang & Yuan Yang & Yishuai Li, 2021. "Extending lead-user theory to a virtual brand community: the roles of flow experience and trust," Asian Business & Management, Palgrave Macmillan, vol. 20(5), pages 618-643, November.
    10. Pantano, Eleonora & Rese, Alexandra & Baier, Daniel, 2017. "Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 81-95.
    11. Ozkara, Behcet Yalin & Ozmen, Mujdat & Kim, Jong Woo, 2017. "Examining the effect of flow experience on online purchase: A novel approach to the flow theory based on hedonic and utilitarian value," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 119-131.
    12. Huimin Wang & Kyungtag Lee, 2020. "Getting in the Flow Together: The Role of Social Presence, Perceived Enjoyment and Concentration on Sustainable Use Intention of Mobile Social Network Game," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    13. Barta, Sergio & Flavián, Carlos & Gurrea, Raquel, 2021. "Managing consumer experience and online flow: Differences in handheld devices vs PCs," Technology in Society, Elsevier, vol. 64(C).
    14. Daniel-Rareș Obadă & Dan-Cristian Dabija, 2022. "“In Flow”! Why Do Users Share Fake News about Environmentally Friendly Brands on Social Media?," IJERPH, MDPI, vol. 19(8), pages 1-26, April.
    15. Guda Sridhar & Teidorlang Lyngdoh, 2019. "Flow and Information Sharing as Predictors of Ethical Selling Behavior," Journal of Business Ethics, Springer, vol. 158(3), pages 807-823, September.
    16. Kim, Jihye & Kim, Minseong, 2020. "Spectator e-sport and well-being through live streaming services," Technology in Society, Elsevier, vol. 63(C).
    17. Chen, Yi-Mu & Hsu, Tsuen-Ho & Lu, Yu-Jou, 2018. "Impact of flow on mobile shopping intention," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 281-287.
    18. Fatma Zeynep Özata & ?çlem Er, 2015. "Determinants Of User Satisfaction With Mobile Applications: Case Of Facebook As A Mobile App In Turkey," Proceedings of Business and Management Conferences 2304356, International Institute of Social and Economic Sciences.
    19. Zhao, Zhenzhen & Renard, Damien, 2018. "Viral Promotional Advergames: How Intrinsic Playfulness and the Extrinsic Value of Prizes Elicit Behavioral Responses," Journal of Interactive Marketing, Elsevier, vol. 41(C), pages 94-103.
    20. Li Mo & Xiaosan Zhang & Yabin Lin & Zhenghui Yuan & Zengjun Peng, 2023. "Consumers’ Attitudes towards Online Advertising: A Model of Personalization, Informativeness, Privacy Concern and Flow Experience," Sustainability, MDPI, vol. 15(5), pages 1-12, February.
    21. 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.

    More about this item

    Keywords

    Information-seeking experience; Conceptual flow model; Online information skills; Online information challenges; Scale development;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines

    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:cmj:networ:y:2013:i:1:p:61-67. 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: Serghie Dan (email available below). General contact details of provider: https://seaopenresearch.eu/ .

    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.