The Paradigm of Fog Computing with Bio-inspired Search Methods and the “5Vs” of Big Data

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

“…The data collection capability of BDA is affected by BDU and also mediates the relationship between BDU and innovative performance. Data collection capability helps create big data and is also affected by big data volume, variety and velocity (Franca et al, 2020; Millham et al, 2021). This influences innovative performance, both directly and indirectly.…”

“…Del Vecchio et al (2018) claim that ‘Vs’ have been identified as managerial challenges associated with big data. Five components (the 5Vs) form big data (Franca et al, 2020; Millham et al, 2021; Younas, 2019): variety, velocity, volume, verification and value.…”

“…The variety of big data indicates a complex information system that requires more effort and time to transform data into knowledge (Ridzuan & Zainon, 2019; Vaghela, 2019). Big data production is accelerating to incredible volumes per second, which in turn increases the volume and variety of transactions that need that data (Gholizadeh et al, 2020; Husamaldin & Saeed, 2020), so businesses need the hardware and software capacity to handle this density (Millham et al, 2021; Vaghela, 2019). One of the essential features of hotel services is that they are consumed as soon as they are produced (Günaydın et al, 2021), so data velocity is critical to gaining actionable and valuable insights from near real‐time data and competitive advantage (Sujaritha & Kavitha, 2021).…”

“…Volume refers to the amount of data and how and where it will be stored (Balaji et al, 2021; Millham et al, 2021). Given that big data increases continuously, it is necessary to plan ahead on how to deal with these data piles in the future.…”

“…Del Vecchio et al (2018) claim that 'Vs' have been identified as managerial challenges associated with big data. Five components (the 5Vs) form big data (Franca et al, 2020;Millham et al, 2021;Younas, 2019): variety, velocity, volume, verification and value. Big data takes various forms in hotels, from numerical data in traditional databases to unstructured text documents, emails, video and audio recordings, reservation forms, vouchers, in-hotel animation, entertainment and events recordings, restaurants, services and financial transactions (Demir & Demir, 2015). It is critical to identify all the different data sources in an ecosystem and find the right tools to feed them.…”