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dc.title | Big data management capabilities in the hospitality sector: Service innovation and customer generated online quality ratings | en |
dc.contributor.author | Shamim, Saqib | |
dc.contributor.author | Yang, Yumei | |
dc.contributor.author | Zia, Najam Ul | |
dc.contributor.author | Shah, Mahmood Hussain | |
dc.relation.ispartof | Computers in Human Behavior | |
dc.identifier.issn | 0747-5632 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.date.issued | 2021 | |
utb.relation.volume | 121 | |
dc.type | article | |
dc.language.iso | en | |
dc.publisher | Elsevier Ltd | |
dc.identifier.doi | 10.1016/j.chb.2021.106777 | |
dc.relation.uri | https://www.sciencedirect.com/science/article/pii/S074756322100100X | |
dc.subject | big data management | en |
dc.subject | dynamic capabilities | en |
dc.subject | service innovation | en |
dc.subject | knowledge creation | en |
dc.subject | customer generated online quality rating | en |
dc.subject | hospitality | en |
dc.description.abstract | Despite the wide usage of big data in tourism and the hospitality sector, little research has been done to understand 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. © 2021 Elsevier Ltd | en |
utb.faculty | Faculty of Management and Economics | |
dc.identifier.uri | http://hdl.handle.net/10563/1010263 | |
utb.identifier.obdid | 43882306 | |
utb.identifier.scopus | 2-s2.0-85102810733 | |
utb.identifier.wok | 000651382100011 | |
utb.identifier.coden | CHBEE | |
utb.source | j-scopus | |
dc.date.accessioned | 2021-04-07T07:50:42Z | |
dc.date.available | 2021-04-07T07:50:42Z | |
dc.description.sponsorship | Internal Grant Agency [IGA/FaME/2021/006]; Faculty of Management and Economics through Tomas Bata University in Zln, Czech RepublicCzech Republic Government | |
dc.description.sponsorship | IGA/FaME/2021/006; Univerzita Tomáše Bati ve Zlíně | |
utb.contributor.internalauthor | Zia, Najam Ul | |
utb.fulltext.sponsorship | The authors also acknowledge the financial support provided by the Internal Grant Agency ( IGA/FaME/2021/006 ) of Faculty of Management and Economics through Tomas Bata University in Zlín , Czech Republic. | |
utb.wos.affiliation | [Shamim, Saqib] Univ Kent, Kent Business Sch, Canterbury, Kent, England; [Yang, Yumei] Bournemouth Univ, Bournemouth Univ Business Sch, Bournemouth, Dorset, England; [Ul Zia, Najam] Tomas Bata Univ Zlin, Zlin, Czech Republic; [Shah, Mahmood Hussain] Northumbria Univ, Newcastle Business Sch, Newcastle Upon Tyne, Tyne & Wear, England | |
utb.scopus.affiliation | Kent Business School, University of Kent, Canterbury, United Kingdom; Bournemouth University Business School, Bournemouth University, Bournemouth, United Kingdom; Tomas Bata University in Zlin, Czech Republic; Newcastle Business School, Northumbria University, Newcastle, United Kingdom | |
utb.fulltext.projects | IGA/FaME/2021/006 | |
utb.identifier.jel | - |