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Acceptance of text-mining systems: The signaling role of information quality

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  • Nathalie Demoulin

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Kristof Coussement

    (IESEG - School of Management (LEM), LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

Abstract

The popularity of the big data domain has boosted corporate interest in collecting and storing tremendous amounts of consumers' textual information. However, decision makers are often overwhelmed by the abundance of information, and the usage of text mining (TM) tools is still at its infancy. This study validates an extended technology acceptance model integrating information quality (IQ) and top management support. Results confirm that IQ influences behavioral intentions and TM tools usage, through perceptions of external control, perceived ease of use, and perceived usefulness; top management support also has a key role in determining the usage of TM tools.

Suggested Citation

  • Nathalie Demoulin & Kristof Coussement, 2018. "Acceptance of text-mining systems: The signaling role of information quality," Post-Print hal-02111772, HAL.
    • Handle: RePEc:hal:journl:hal-02111772
    DOI: 10.1016/j.im.2018.10.006
    Note: View the original document on HAL open archive server: https://hal.science/hal-02111772
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    References listed on IDEAS

    as
    1. Donald P. Ballou & Harold L. Pazer, 1985. "Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems," Management Science, INFORMS, vol. 31(2), pages 150-162, February.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Ragu-Nathan, Bhanu S. & Apigian, Charles H. & Ragu-Nathan, T. S. & Tu, Qiang, 2004. "A path analytic study of the effect of top management support for information systems performance," Omega, Elsevier, vol. 32(6), pages 459-471, December.
    4. Webster, Frederick Jr., 1988. "The rediscovery of the marketing concept," Business Horizons, Elsevier, vol. 31(3), pages 29-39.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    7. Stephen P. Harter, 1992. "Psychological relevance and information science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 602-615, October.
    8. Huang, Tony Cheng-Kui & Liu, Chuang-Chun & Chang, Dong-Cheng, 2012. "An empirical investigation of factors influencing the adoption of data mining tools," International Journal of Information Management, Elsevier, vol. 32(3), pages 257-270.
    9. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    10. K. Coussement & K.W. de Bock, 2013. "Textual Customer Data Handling for Quantitative Marketing Analysis," Post-Print hal-00836249, HAL.
    11. 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.
    12. Greenfield, Geoffrey & Rohde, Fiona, 2009. "Technology acceptance: Not all organisations or workers may be the same," International Journal of Accounting Information Systems, Elsevier, vol. 10(4), pages 263-272.
    13. Tefko Saracevic, 1975. "RELEVANCE: A review of and a framework for the thinking on the notion in information science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 26(6), pages 321-343, November.
    14. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    15. Lin, Hsiu-Fen, 2014. "Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 80-92.
    16. Raguseo, Elisabetta, 2018. "Big data technologies: An empirical investigation on their adoption, benefits and risks for companies," International Journal of Information Management, Elsevier, vol. 38(1), pages 187-195.
    17. K. Coussement & D. van den Poel, 2008. "Integrating the voice of customers through call center emails into a decision support system for churn prediction," Post-Print hal-00788086, HAL.
    18. Yunjie (Calvin) Xu & Zhiwei Chen, 2006. "Relevance judgment: What do information users consider beyond topicality?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(7), pages 961-973, May.
    19. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
    Full references (including those not matched with items on IDEAS)

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    3. Dehghani, Milad & William Kennedy, Ryan & Mashatan, Atefeh & Rese, Alexandra & Karavidas, Dionysios, 2022. "High interest, low adoption. A mixed-method investigation into the factors influencing organisational adoption of blockchain technology," Journal of Business Research, Elsevier, vol. 149(C), pages 393-411.

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