Page 35 - Management 19 (2024), številka 1
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Fabrizio Gritta | The Use of Social Big Data in Small Hospitality Businesses


                were previously unavailable (Jingjing et al. 2018).   an underutilisation of Social Big Data analysis
                In addition to influencing marketing strategies,   emerges.
                the availability of digital data affects the creation
                and adoption of new solutions in the sector. The-  Methodology 
                se solutions are designed to optimise operations,   The objective of the literature review was to con-
                personalise experiences, and create new offers   duct a comprehensive analysis of existing and
                based on consumer needs (Sigala, Rahimi, and   emerging literature,  utilising  published  articles
                Thelwall 2019). The utilisation of Big Data in the   from national and international scientific jour-
                tourism sector is on the rise (Belias et al. 2021),   nals as the unit of analysis. In order to retrieve
                with the objective of developing effective strate-  relevant articles, primary titles and keywords
                gies (Blanco-Moreno et al. 2023). A recent study   such as ‘Web 2.0’, ‘small hotels’, ‘small accommo-
                demonstrated how AI enables the hospitality in-  dation’, ‘Big Data’, ‘AI’, ‘social media’, and ‘data
                dustry to adapt efficiently to customer needs by   analysis’ were considered.
                analysing large data sets to identify trends and   A series of research cycles were conducted
                personalise experiences (Das, Talukder, and Pego   using a list of keywords to iteratively adopt the
                2024).                                     relevant terms. Databases such as Google Scho-
                  The advent of online activities has signifi-  lar,  EBSCO, and Scopus were employed in this
                cantly reduced the visibility gap between small   process. Given the paucity of literature on the
                hospitality businesses and large hotel chains,   utilisation of Social Big Data by small enterpri-
                which have greater resources for Web 2.0 and   ses, the research strategy was revised to encom-
                Social Big Data. Pencarelli, Cioppi, and Forlani   pass a broader scope, incorporating additional
                (2015) identified a correlation between entrepre-  questions such as the capacity of small hotels to
                neurs’ online efforts and commercial success. A   utilise social media and the challenges they face
                2018 study demonstrated that the utilisation of   in technological advancement. This was condu-
                social media platforms, including Facebook, In-  cted through an analytical lens, examining the
                stagram, Twitter, LinkedIn, and TikTok, by small   problem from multiple perspectives.
                businesses is positively correlated with their   The selection process for the studies started
                marketing success, although this correlation is   from the titles and abstracts, ensuring that their
                limited to the commercial aspect (Panahande   content contained elements relevant to our qu-
                2021). Nevertheless, small businesses encounter   estion.
                obstacles, including the necessity for compre-  The procedure for identifying articles to inclu-
                hensive training and the expenses associated   de in the review was based on a process of reading
                with technological innovations (Dredge et al.   previously selected contributions and screening
                2018). While the analytics market expanded by   out articles that, despite the title and/or abstra-
                26 % in 2018, small businesses remained static,   ct, were not relevant to the subject of investigati-
                cognizant of the advantages of Big Data but con-  on. In this phase, a synthesis of the contributions
                strained by their size (Di Deo 2019). Overcoming   was made, highlighting how different authors ad-
                these limitations is crucial for the development   dress the theme of Web 2.0 evolution in relation
                of  successful  digital  marketing  strategies,  whi-  to market approach and the use of Big Data gene-
                ch are supported by local government policies   rated by the media.
                (Gritta and Calabrese 2023). Technological inno-  Thirdly, the literature was subjected to a cri-
                vations such as Big Data, AI, and blockchain are   tical analysis and commentary in order to ascer-
                transforming the intersection between ICT and   tain the extent of advancement in studies and
                policy, facilitating dynamic resource integration   research activity pertaining to the relationship
                among actors (Troisi et al. 2019).         between small businesses and the utilisation of
                  In conclusion, the analysis of the literature in-  social media and user-generated data.
                dicates that the combined use of Big Data and AI   To enhance the discourse, interviews were
                can greatly benefit tourism businesses through   conducted with managers of small hotels in
                the analysis of large amounts of data from social   Rome, focusing exclusively on small enterprises
                media. This can be used to improve their opera-  due to their pivotal role in advanced economies
                tions and customer experience. Regarding small   (Mattiacci and Ceccotti 2005). In Europe, 99  %
                hospitality businesses, significant use of social   of businesses are Small and Medium Enterprises
                media is noted, especially in the phase of co-  (Corsi and Migliori 2016). In Italy, micro-enter-
                -creating the journey with customers. However,   prises with fewer than 10 employees represent

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