Big data management capabilities in the hospitality sector: Service innovation and customer generated online quality ratings
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Big data management capabilities in the hospitality sector: Service innovation and customer generated online quality ratings
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Big data management capabilities in the hospitality sector: Service innovation and customer generated online quality ratings
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Computers in Human Behavior
ISSN
0747-5632
e-ISSN
—
Svazek periodika
121
Číslo periodika v rámci svazku
106777
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
14
Strana od-do
1-14
Kód UT WoS článku
000651382100011
EID výsledku v databázi Scopus
2-s2.0-85102810733