Using mobile information technologies for service innovation in the hospitality industry: Evidence from a multi-moderated mediation model

This study aims to examine the relationship between mobile information technologies, big data features, organizational readiness for innovation, decision-making capabilities, and service innovation performance in the hospitality industry. A quantitative research method was adopted, and the multivariate statistical analysis technique of structural equation modeling was used to test the conceptual model in this study. The data were collected from participants at the management levels of five-star hotels belonging to international and national hotel chains in Türkiye. The results indicated that mobile information technologies influence both service innovation performance and big data features. Big data features have a mediating role and organizational readiness for innovation and decision-making capabilities have moderating roles in this relationship.

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Publication Details

Journal
Tourism and Hospitality Research
Published
2025-02-12
DOI
https://doi.org/10.1177/14673584251320680
Citations
2
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
8.34
Controls
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article

Using mobile information technologies for service innovation in the hospitality industry: Evidence from a multi-moderated mediation model

Mahmut Demir
2 citations
Tourism and Hospitality Research
Technology Adoption and User Behaviour
8.34
article

Using mobile information technologies for service innovation in the hospitality industry: Evidence from a multi-moderated mediation model

Mahmut Demir
article en
2 citations

Abstract

This study aims to examine the relationship between mobile information technologies, big data features, organizational readiness for innovation, decision-making capabilities, and service innovation performance in the hospitality industry. A quantitative research method was adopted, and the multivariate statistical analysis technique of structural equation modeling was used to test the conceptual model in this study. The data were collected from participants at the management levels of five-star hotels belonging to international and national hotel chains in Türkiye. The results indicated that mobile information technologies influence both service innovation performance and big data features. Big data features have a mediating role and organizational readiness for innovation and decision-making capabilities have moderating roles in this relationship.

Tourism and Hospitality Research
Isparta University of Applied Sciences (TR)
Openalex Percentile: Top 4%
Technology Adoption and User Behaviour
8.34
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