Big data management capabilities in the hospitality sector: Service innovation and customer generated online quality ratings
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F21%3A63527059" target="_blank" >RIV/70883521:28120/21:63527059 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S074756322100100X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S074756322100100X?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.chb.2021.106777" target="_blank" >10.1016/j.chb.2021.106777</a>
Alternative languages
Result language
angličtina
Original language name
Big data management capabilities in the hospitality sector: Service innovation and customer generated online quality ratings
Original language description
Despite the wide usage of big data in tourism and the hospitality sector, little research has been done to un derstand the role of organizations’ capability of managing big data in value creation. This study bridges this gap by investigating how big data management capabilities lead to service innovation and high online quality ratings. Instead of treating big data management as a whole, we access big data management capabilities at the strategic and operational level. Using a sample of 202 hotels in Pakistan, we collected the primary data for big data capabilities, knowledge creation and service innovation; the secondary data about quality rating were collected from Booking.com. Structural equation modelling through SmartPLS was used for data analysis. The results indicated that big data management capabilities lead to high online quality ratings through the mediation of knowledge creation and service innovation. We contribute to the current literature by empirically testing how strategic level big data capabilities enable the firm to add value in innovativeness and positive online quality ratings through acquiring, contextualizing, experimenting and applying big data.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computers in Human Behavior
ISSN
0747-5632
e-ISSN
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Volume of the periodical
121
Issue of the periodical within the volume
106777
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
1-14
UT code for WoS article
000651382100011
EID of the result in the Scopus database
2-s2.0-85102810733