Not with the bot! The relevance of trust to explain the acceptance of chatbots by insurance customers (doi:10.7910/DVN/LK4LAT)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Document Description

Citation

Title:

Not with the bot! The relevance of trust to explain the acceptance of chatbots by insurance customers

Identification Number:

doi:10.7910/DVN/LK4LAT

Distributor:

Harvard Dataverse

Date of Distribution:

2024-01-04

Version:

1

Bibliographic Citation:

de Andrés-Sánchez, Jorge, 2024, "Not with the bot! The relevance of trust to explain the acceptance of chatbots by insurance customers", https://doi.org/10.7910/DVN/LK4LAT, Harvard Dataverse, V1, UNF:6:rbdjbYi7PX8SOFJWPLZjHg== [fileUNF]

Study Description

Citation

Title:

Not with the bot! The relevance of trust to explain the acceptance of chatbots by insurance customers

Identification Number:

doi:10.7910/DVN/LK4LAT

Authoring Entity:

de Andrés-Sánchez, Jorge (University Rovira i Virgili)

Distributor:

Harvard Dataverse

Access Authority:

de Andrés-Sánchez, Jorge

Depositor:

de Andrés-Sánchez, Jorge

Date of Deposit:

2024-01-03

Holdings Information:

https://doi.org/10.7910/DVN/LK4LAT

Study Scope

Keywords:

Social Sciences

Abstract:

Industry 4.0 profoundly impacts the insurance sector, as evidenced by the significant growth of insurtech. One of these technologies is chatbots, which enable policyholders to seamlessly manage their active insurance policies. This paper analyses policyholders’ attitude toward conversational bots in this context. To achieve this objective, we employed a structured survey involving policyholders. The survey aimed to determine the average degree of acceptance of chatbots for contacting the insurer to take action such as claim reporting. We also assessed the role of variables of the technology acceptance model, perceived usefulness and perceived ease of use, as well as trust, in explaining attitudes and behavioral intention. We have observed a low acceptance of insureds to implement insurance procedures with the assistance of a chatbot. The theoretical model proposed to explain chatbot acceptance provides good adjustment and prediction capability. Even though the three assessed factors are relevant for explaining attitude toward interactions with conversational robots and behavioral intention to use them, the variable trust exhibited the greatest impact. The findings of this paper have fair potential theoretical and practical implications. They outline the special relevance of trust in explaining customers’ acceptance of chatbots since this construct impacts directly on attitude but also perceived usefulness and perceived ease of use. Likewise, improvements in the utility and ease of use of robots are also needed to prevent customers’ reluctance toward their services.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

File Description--f8083347

File: Not with the bot!.tab

  • Number of cases: 230

  • No. of variables per record: 1

  • Type of File: text/tab-separated-values

Notes:

UNF:6:rbdjbYi7PX8SOFJWPLZjHg==

Variable Description

List of Variables:

Variables

caso;BI1;BI2;BI3;ATT1;ATT2;ATT3;ATT4;PU1;PU2;PU3;PU4;P41;P42;P43;P44;TRUST1;TRUST2;TRUST3;Genero;Edad;GA;Renta;Polizas

f8083347 Location:

Variable Format: character

Notes: UNF:6:rbdjbYi7PX8SOFJWPLZjHg==