IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v21y2019i4d10.1007_s10796-018-9865-4.html
   My bibliography  Save this article

Understanding the Impact of Immersion and Authenticity on Satisfaction Behavior in Learning Analytics Tasks

Author

Listed:
  • Suning Zhu

    (Auburn University)

  • Ashish Gupta

    (Auburn University)

  • David Paradice

    (Auburn University)

  • Casey Cegielski

    (Auburn University)

Abstract

As business analytics (BA) applications permeate across various industry sectors, the workforce needs to be trained and upskilled to meet the challenges of understanding and implementing analytics methodologies. To achieve payoffs from the resource investments in BA training, it is critical for enterprises to understand an individual’s learning behavior along with the process and outcome-centric satisfaction associated with a collaborative analytics training task. This study focuses on identifying the factors that influence the process of learning during BA training to entry-level BA users. Drawing on the theories of situated cognition, goal setting, and flow, we propose a model that explains how trainees in a group learn through a process that is influenced by the characteristics of BA training context through context authenticity, the traits of trainees through task motivation and preference towards teamwork. Using an experimental design built on data collection and a unique task of real visits to a historic cemetery, we found that context authenticity and task motivation have significant impact on focused immersion, which in turn significantly impacts process and outcome satisfaction for learning an analytics task. Results of this study extend and validate the theories of situated cognition, goal setting, and flow within the context of business analytics training. Based on these findings, we provide recommendations for practitioners for designing effective analytics tasks for better training outcomes.

Suggested Citation

  • Suning Zhu & Ashish Gupta & David Paradice & Casey Cegielski, 2019. "Understanding the Impact of Immersion and Authenticity on Satisfaction Behavior in Learning Analytics Tasks," Information Systems Frontiers, Springer, vol. 21(4), pages 791-814, August.
    • Handle: RePEc:spr:infosf:v:21:y:2019:i:4:d:10.1007_s10796-018-9865-4
    DOI: 10.1007/s10796-018-9865-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-018-9865-4
    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/s10796-018-9865-4?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. Tekleab, Amanuel G. & Quigley, Narda R., 2014. "Team deep-level diversity, relationship conflict, and team members' affective reactions: A cross-level investigation," Journal of Business Research, Elsevier, vol. 67(3), pages 394-402.
    2. Nicholas C. Romano & Ramesh Sharda & Joyce Lucca, 2005. "Computer-Supported Collaborative Learning Requiring Immersive Presence (CSCLIP): An Introduction," Information Systems Frontiers, Springer, vol. 7(1), pages 5-12, February.
    3. Shaio Yan Huang & Chao-Hsiung Lee & An-An Chiu & David C. Yen, 2015. "How business process reengineering affects information technology investment and employee performance under different performance measurement," Information Systems Frontiers, Springer, vol. 17(5), pages 1133-1144, October.
    4. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    5. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    6. Shih-Chia Huang & Suzanne McIntosh & Stanislav Sobolevsky & Patrick C. K. Hung, 2017. "Big Data Analytics and Business Intelligence in Industry," Information Systems Frontiers, Springer, vol. 19(6), pages 1229-1232, December.
    7. John Seely Brown & Paul Duguid, 2001. "Knowledge and Organization: A Social-Practice Perspective," Organization Science, INFORMS, vol. 12(2), pages 198-213, April.
    8. Beth A. Bechky, 2003. "Sharing Meaning Across Occupational Communities: The Transformation of Understanding on a Production Floor," Organization Science, INFORMS, vol. 14(3), pages 312-330, June.
    9. Scott D. N. Cook & John Seely Brown, 1999. "Bridging Epistemologies: The Generative Dance Between Organizational Knowledge and Organizational Knowing," Organization Science, INFORMS, vol. 10(4), pages 381-400, August.
    10. Kimberly D. Elsbach & Pamela S. Barr & Andrew B. Hargadon, 2005. "Identifying Situated Cognition in Organizations," Organization Science, INFORMS, vol. 16(4), pages 422-433, August.
    11. Reinartz, Werner & Haenlein, Michael & Henseler, Jörg, 2009. "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 332-344.
    12. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raed S. Algharabat & Nripendra P. Rana, 0. "Social Commerce in Emerging Markets and its Impact on Online Community Engagement," Information Systems Frontiers, Springer, vol. 0, pages 1-22.
    2. Sepasgozar, Samad M.E., 2022. "Immersive on-the-job training module development and modeling users’ behavior using parametric multi-group analysis: A modified educational technology acceptance model," Technology in Society, Elsevier, vol. 68(C).
    3. Raed S. Algharabat & Nripendra P. Rana, 2021. "Social Commerce in Emerging Markets and its Impact on Online Community Engagement," Information Systems Frontiers, Springer, vol. 23(6), pages 1499-1520, December.
    4. Luvai Motiwalla & Amit V. Deokar & Surendra Sarnikar & Angelika Dimoka, 2019. "Leveraging Data Analytics for Behavioral Research," Information Systems Frontiers, Springer, vol. 21(4), pages 735-742, August.

    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. Linder, Christian, 2019. "Customer orientation and operations: The role of manufacturing capabilities in small- and medium-sized enterprises," International Journal of Production Economics, Elsevier, vol. 216(C), pages 105-117.
    2. Ferguson, J.E. & Huysman, M.H., 2009. "Between ambition and approach: towards sustainable knowledge management in development organizations," Serie Research Memoranda 0003, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Jörg Henseler & Marko Sarstedt, 2013. "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics, Springer, vol. 28(2), pages 565-580, April.
    4. Steffen Maas & Tassilo Schuster & Evi Hartmann, 2018. "Stakeholder Pressures, Environmental Practice Adoption and Economic Performance in the German Third-party Logistics Industry—A Contingency Perspective," Journal of Business Economics, Springer, vol. 88(2), pages 167-201, February.
    5. Kawai, Norifumi & Chung, Chul, 2019. "Expatriate utilization, subsidiary knowledge creation and performance: The moderating role of subsidiary strategic context," Journal of World Business, Elsevier, vol. 54(1), pages 24-36.
    6. Davide Nicolini, 2011. "Practice as the Site of Knowing: Insights from the Field of Telemedicine," Organization Science, INFORMS, vol. 22(3), pages 602-620, June.
    7. Zhang, Man & Hartley, Janet L., 2018. "Guanxi, IT systems, and innovation capability: The moderating role of proactiveness," Journal of Business Research, Elsevier, vol. 90(C), pages 75-86.
    8. Mütterlein, Joschka & Kunz, Reinhard E. & Baier, Daniel, 2019. "Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 113-124.
    9. María Leticia Santos-Vijande & José Ángel López-Sánchez & John Rudd, 2016. "Frontline employees’ collaboration in industrial service innovation: routes of co-creation’s effects on new service performance," Journal of the Academy of Marketing Science, Springer, vol. 44(3), pages 350-375, May.
    10. Gupta, Prashant & Seetharaman, A. & Raj, John Rudolph, 2013. "The usage and adoption of cloud computing by small and medium businesses," International Journal of Information Management, Elsevier, vol. 33(5), pages 861-874.
    11. Asif Khan & Chih-Cheng Chen & Kwanrat Suanpong & Athapol Ruangkanjanases & Santhaya Kittikowit & Shih-Chih Chen, 2021. "The Impact of CSR on Sustainable Innovation Ambidexterity: The Mediating Role of Sustainable Supply Chain Management and Second-Order Social Capital," Sustainability, MDPI, vol. 13(21), pages 1-25, November.
    12. Emmanuelle Vaast & Geoff Walsham, 2009. "Trans-Situated Learning: Supporting a Network of Practice with an Information Infrastructure," Information Systems Research, INFORMS, vol. 20(4), pages 547-564, December.
    13. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    14. Teller, Christoph & Kotzab, Herbert & Grant, David B., 2012. "The relevance of shopper logistics for consumers of store-based retail formats," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 59-66.
    15. Osama Sohaib & Kyeong Kang & Mohammad Nurunnabi, 2018. "Gender-Based iTrust in E-Commerce: The Moderating Role of Cognitive Innovativeness," Sustainability, MDPI, vol. 11(1), pages 1-16, December.
    16. Petschnig, Martin & Heidenreich, Sven & Spieth, Patrick, 2014. "Innovative alternatives take action – Investigating determinants of alternative fuel vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 68-83.
    17. Maggie Chuoyan Dong & Yulin Fang & Detmar W. Straub, 2017. "The Impact of Institutional Distance on the Joint Performance of Collaborating Firms: The Role of Adaptive Interorganizational Systems," Information Systems Research, INFORMS, vol. 28(2), pages 309-331, June.
    18. Al-Baraa Abdulrahman Al-Mekhlafi & Idris Othman & Ahmed Farouk Kineber & Ahmad A. Mousa & Ahmad M. A. Zamil, 2022. "Modeling the Impact of Massive Open Online Courses (MOOC) Implementation Factors on Continuance Intention of Students: PLS-SEM Approach," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    19. Abdul Alem Mohammed & Basri B. Rashid & Shaharuddin B. Tahir, 2017. "Customer relationship management and hotel performance: the mediating influence of marketing capabilities—evidence from the Malaysian hotel industry," Information Technology & Tourism, Springer, vol. 17(3), pages 335-361, September.
    20. Paola Perez-Aleman, 2011. "Collective Learning in Global Diffusion: Spreading Quality Standards in a Developing Country Cluster," Organization Science, INFORMS, vol. 22(1), pages 173-189, February.

    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:infosf:v:21:y:2019:i:4:d:10.1007_s10796-018-9865-4. 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.