IDEAS home Printed from https://ideas.repec.org/p/ecl/illbus/06-0120.html

Exploring the Black Box of Task-Technology Fit: The Case of Mobile Information Systems

Author

Listed:
  • Gebauer, Judith

    (U of Illinois at Urbana-Champaign)

  • Ginsburg, Mark

    (Seventh Rank Associates)

Abstract

Task-technology fit has been developed as a diagnostic tool to determine whether information systems meet user needs, and has been demonstrated to have a positive impact on the effectiveness of various types of information systems, such as group support systems and management support systems. Despite empirical evidence for the relevance of task-technology fit to improve information system effectiveness, the theory of task-technology fit provides little guidance of how to determine and operationalize fit for particular combinations of task and technology. Consequently, the theoretical validity of the concept of task-technology fit remains limited as does its practical applicability. In this paper, we present the results of an inductive study to explore the concept and antecedents of fit for mobile information systems to support mobile professionals. We performed a content analysis of online user reviews of four mobile technology products with the objective to identify issues that are relevant to users. The mobile technology products include a cell-phone, two personal digital assistants (PDAs), and an ultra-light laptop. The identified issues can be grouped into four conceptual constructs: overall user evaluation, task-related fit, context-related fit, and technology performance, and are characterized by a lower level of abstraction than the level of abstraction deployed in previous research studies on task-technology fit. In order to improve our understanding about how to achieve fit for particular combinations of task, use context, and technology we performed several statistical analyses. (1) An exploratory factor analysis yielded five factors, each indeed including a different set of conceptual constructs; (2) a case-wise analysis indicated user-perceived strengths and limits of individual devices with respect to the five factors; and (3) the results of a multiple regression analysis provided insights about the extent to which the five factors were related with overall technology evaluation. The results presented in the current paper will serve as input for a larger survey.

Suggested Citation

  • Gebauer, Judith & Ginsburg, Mark, 2006. "Exploring the Black Box of Task-Technology Fit: The Case of Mobile Information Systems," Working Papers 06-0120, University of Illinois at Urbana-Champaign, College of Business.
    • Handle: RePEc:ecl:illbus:06-0120
    as

    Download full text from publisher

    File URL: http://www.business.illinois.edu/Working_Papers/papers/06-0120.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
    2. Gebauer, Judith & Shaw, Michael J. & Gribbins, Michele L., 2006. "Task-Technology Fit for Mobile Information Systems," Working Papers 06-0107, University of Illinois at Urbana-Champaign, College of Business.
    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. Hemant K. Bhargava & Abhay Nath Mishra, 2014. "Electronic Medical Records and Physician Productivity: Evidence from Panel Data Analysis," Management Science, INFORMS, vol. 60(10), pages 2543-2562, October.
    2. repec:jtr:journl:v:4:y:2012:i:1:p:12-37 is not listed on IDEAS
    3. Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).
    4. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    5. 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).
    6. Wang, Xun & Rodrigues, Vasco Sanchez & Demir, Emrah & Sarkis, Joseph, 2024. "Algorithm aversion during disruptions: The case of safety stock," International Journal of Production Economics, Elsevier, vol. 278(C).
    7. Brooks, Patti & El-Gayar, Omar & Sarnikar, Surendra, 2015. "A framework for developing a domain specific business intelligence maturity model: Application to healthcare," International Journal of Information Management, Elsevier, vol. 35(3), pages 337-345.
    8. Thuy Duong Oesterreich & Eduard Anton & Julian Schuir & Alexander Brehm & Frank Teuteberg, 2023. "How can I help you? Design principles for task-oriented speech dialog systems in customer service," Information Systems and e-Business Management, Springer, vol. 21(1), pages 37-79, March.
    9. Peter Verhoeven & Florian Sinn & Tino T. Herden, 2018. "Examples from Blockchain Implementations in Logistics and Supply Chain Management: Exploring the Mindful Use of a New Technology," Logistics, MDPI, vol. 2(3), pages 1-19, September.
    10. John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task-technology fit model to structure and evaluate the adoption of E-books by Academics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
    11. Slamet Soedarsono & Sri Mulyani & Hiro Tugiman & Didik Suhardi, 2019. "Information Quality and Management Support as Key Factors in the Applications of Continuous Auditing and Continuous Monitoring: An Empirical Study in the Government Sector of Indonesia," Contemporary Economics, Vizja University, vol. 13(3), September.
    12. Thomas Gackstatter & Benedikt Müller-Stewens & Klaus Möller, 2019. "Effective accounting processes: the role of formal and informal controls," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 30(2), pages 131-152, July.
    13. Vijeta Singh & Puja Padhi, 2015. "Information and Communication Technology in Microfinance Sector: Case Study of Three Indian MFIs," IIM Kozhikode Society & Management Review, , vol. 4(2), pages 106-123, July.
    14. Gao Changchun & Muhammad Jamal Haider & Tayyaba Akram, 2017. "Investigation of the Effects of Task Technology Fit, Attitude and Trust on Intention to Adopt Mobile Banking: Placing the Mediating Role of Trialability," International Business Research, Canadian Center of Science and Education, vol. 10(4), pages 77-91, April.
    15. Vicky Gu & Jonathan Davis & Ray Cao & John Vogt, 2017. "The effect of externalities on adoption of social customer relationship management (SCRM)," International Journal of Quality Innovation, Springer, vol. 3(1), pages 1-15, December.
    16. Jahangir Karimi & Toni M. Somers & Yash P. Gupta, 2004. "Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data," Information Systems Research, INFORMS, vol. 15(2), pages 175-193, June.
    17. Moćan Dinko Stanković, 2022. "Determinants of collaborative hybrid organisations in the construction industry of the Republic of Croatia," Organization, Technology and Management in Construction, Paradigm, vol. 15(1), pages 107-121, January.
    18. Melchor-Ferrer, Elias & Buendía-Carrillo, Dionisio, 2014. "Financial information management for university departments, using open-source software," International Journal of Information Management, Elsevier, vol. 34(2), pages 191-199.
    19. K J Leonard & J Lin & S Dalziel & R Yap & D Adams, 2005. "Incorporating operations research techniques to evaluate information systems impact on healthcare," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 173-179, February.
    20. Henri Barki & Ryad Titah & Céline Boffo, 2007. "Information System Use--Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use," Information Systems Research, INFORMS, vol. 18(2), pages 173-192, June.
    21. Qing Wang & Muhammad Saqib Khan & Muhammad Kamran Khan, 2021. "Predicting user perceived satisfaction and reuse intentions toward Massive Open Online Courses (MOOCs) in the Covid-19 pandemic," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(2), pages 1-11, March.

    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:ecl:illbus:06-0120. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cbuiuus.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.