Khalil, Muhamad Luqman
[VerfasserIn];
Norzalita Abd Aziz
[VerfasserIn];
Long, Fei
[VerfasserIn];
Zhang, Huan
[VerfasserIn]
What factors affect firm performance in the hotel industry post-Covid-19 pandemic?
: examining the impacts of big data analytics capability, organizational agility and innovation
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Medientyp:
E-Artikel
Titel:
What factors affect firm performance in the hotel industry post-Covid-19 pandemic?
:
examining the impacts of big data analytics capability, organizational agility and innovation
Beschreibung:
The Covid-19 pandemic has had an adverse effect on the global economy, particularly the hotel industry. Industry players have turned to big data to recover and improve their business performance. This paper aims to identify the key resources to develop and build big data analytics capabilities (BDAC). Drawing upon the knowledge-based and dynamic capability views, this research also examines the interplay among BDAC, organizational agility, marketing and organizational innovations, and firm performance in the hotel industry. The partial least square structural equation modeling is used for the data analysis, while quota sampling is used for the sampling design. Based on the statistical data analysis from 115 star-rated hotels in Malaysia, BDAC positively impacts organizational agility, marketing and organizational innovations, and firm performance. Likewise, organizational agility positively impacts firm performance, marketing and organizational innovations. The empirical findings provide researchers and industry players with meaningful insights for improving firm performance in the hotel industry using big data.