Abstract
This paper reports on lessons learned from implementing a text analysis tool in an industrial setting. We conducted two rounds of focus group interviews — one pre- and a second one post-implementation — and extended our analysis by a survey undertaken one month after the tool had gone live. This methodology let us explore and compare the suitability of three different technology acceptance models. Findings show that the Technology Acceptance Model (TAM) fits as a general mathematical approach describing our tool’s acceptance, whereas the Hospitality Metaphor (HM) produces slightly more precise analytical results, explaining its adoption from a more holistic point of view. Finally, we found that the hybrid approach emphasized by the Unified Theory of Acceptance and Use of Technology (UTAUT) showed the most reliable and trustful results, as it combines both human and business/technology aspects.
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Ghezzi, G., Schlögl, S., Bernsteiner, R. (2017). Implementation of a Text Analysis Tool: Exploring Requirements, Success Factors and Model Fit. In: Uden, L., Lu, W., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2017. Communications in Computer and Information Science, vol 731. Springer, Cham. https://doi.org/10.1007/978-3-319-62698-7_26
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DOI: https://doi.org/10.1007/978-3-319-62698-7_26
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