| Autor: |
Pillai, Rajasshrie, Ghanghorkar, Yamini, Sivathanu, Brijesh, Algharabat, Raed, Rana, Nripendra P. |
| Předmět: |
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| Zdroj: |
Information Technology & People; 2024, Vol. 37 Issue 1, p449-478, 30p |
| Abstrakt: |
Purpose: AI-based chatbots are revamping employee communication in organizations. This paper examines the adoption of AI-based employee experience chatbots by employees. Design/methodology/approach: The proposed model is developed using behavioral reasoning theory and empirically validated by surveying 1,130 employees and data was analyzed with PLS-SEM. Findings: This research presents the "reasons for" and "reasons against" for the acceptance of AI-based employee experience chatbots. The "reasons for" are – personalization, interactivity, perceived intelligence and perceived anthropomorphism and the "reasons against" are perceived risk, language barrier and technological anxiety. It is found that "reasons for" have a positive association with attitude and adoption intention and "reasons against" have a negative association. Employees' values for openness to change are positively associated with "reasons for" and do not affect attitude and "reasons against". Originality/value: This is the first study exploring employees' attitude and adoption intention toward AI-based EEX chatbots using behavioral reasoning theory. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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