Big data and innovative organizational performance: Evidence from a moderated‐mediated model

Abstract

Big data in hotels is crucial in new business models, processes and methods for improving innovative organizational performance. This study investigates how big data and its sharing directly impact innovative organizational performance through big data analytics capabilities. Research data collected from 438 participants at 36 five-star hotels were analysed using structural equation models. The analysis found that using and sharing big data in hotels directly affects big data analytics capabilities and innovative organizational performance. Furthermore, analytical capacities mediate between using and sharing big data and creative organizational performance.These results have some theoretical and practical implications.

Professionals' perspectives on ChatGPT in the tourism industry: Does it inspire awe or concern?

“…Online travel agencies ranging from Expedia to Kayak and Trip.com utilize ChatGPT plugins as "virtual assistants" (Jockims, 2023). Therefore, tourism businesses can leverage the AI ecosystem to enhance the efficiency and effectiveness of their marketing efforts through personalized campaigns for customers (Demir et al, 2022). Consequently, with individualized services and travel experiences, ChatGPT enables tourism businesses to increase customer satisfaction and loyalty (Gursoy et al, 2023;Singh & Singh, 2023).…”

“…Despite being a highly functional AI application, ChatGPT also presents some challenges and limitations (Deng & Lin, 2022;Frąckiewicz, 2023). Deng and Lin (2022) point out that ChatGPT has database limits, which may be disadvantageous for tourism businesses that generate and utilize large amounts of big data (Demir et al, 2022). Additionally, although ChatGPT has an extensive database on certain topics, it may provide limited answers when it comes to understanding the nuances of certain languages, user experiences, and cultural differences (Burger et al, 2023;Kalla & Smith, 2023).…”

Embedded big data in packaged foods: examining consumer sentiment during the purchasing process post-COVID-19

“…Big data is a combination of structured, semi-structured, and unstructured data collected by organizations from many sources that contain greater variety, arriving in increasing volumes and with more velocity (Demir et al, 2022). Big data, which is an important influencer of decision-making by effectively and efficiently aligning consumer preferences and product features (Johnson et al, 2017) is larger and more complex datasets coming from new sources (Ghasemaghaei and Calic, 2020), characterized by the 5 Vs: velocity, volume, value, variety, and veracity (Talwar et al, 2021).…”

“…Big data is a combination of structured, semi-structured, and unstructured data collected by organizations from many sources that contain greater variety, arriving in increasing volumes and with more velocity (Demir et al ., 2022). Big data, which is an important influencer of decision-making by effectively and efficiently aligning consumer preferences and product features (Johnson et al.…”