A Critical Review of Literature in the Rising Tide of Social Media Towards Promoting Tourism

Sin, Kit Yeng; Mohamad, Abang Azlan; Lo, May Chiun

doi:10.33776/et.v10i2.4887

Cited by 12 publications

(5 citation statements)

References 68 publications

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“…Penggunaan VR juga mencoba merangsang minat wisatawan untuk mengunjungi tempat wisata yang belum dikenal. Penelitian lain mengemukakan jika perasaan yang mampu membawa pada situasi virtual akan menciptakan kesan positif dibenak wisatawan [19], [20]. Keadaan tersebut akan berkembang pada rangsangan motivasi yang semakin kuat untuk mengunjungi [21], [22].…”

Section: Tinjauan Pustakaunclassified

Implementasi Virtual Reality Dalam Pemasaran Pariwisata

Djamil¹,

Sulistyo²

2023

JOISM

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Perkembangan teknologi memberikan peluang dalam aktivitas pemasaran pariwisata. Penggunaan virtual reality (VR) menjadi salah satu upaya yang dapat dilakukan. Virtual reality dianggap sebagai cara yang mampu membatasi aktivitas kunjungan. Penelitian ini bertujuan untuk mengungkap perubahan aktivitas nyata menjadi aktivitas virtual berdasarkan pengalaman yang dirasakan. Desain penelitian kualitatif melalui pendekatan studi kasus digunakan pada pengguna layanan VR di museum Taman Pintar dan Play Both Mall Pakuwon. Penelitian ini mampu mengungkap pengalaman seseorang setelah menggunakan layanan VR. Analisa Miles Huberman dikombinasikan dengan metode semi-immersive dan model UTAUT digunakan dalam penelitian ini. Hasil penelitian menemukan jika kesenangan menjadi salah satu faktor pendorong penerimaan teknologi VR. Sedangkan kondisi teknologi, aktivitas sosial dan interaksi yang dilakukan menjadi salah satu penghambat. Meskipun demikian, penggunaan layanan VR mampu menjadi salah satu cara merangsang motivasi pengguna.

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Section: Tinjauan Pustakaunclassified

Implementasi Virtual Reality Dalam Pemasaran Pariwisata

Djamil¹,

Sulistyo²

2023

JOISM

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“…A literature review in this area was presented by K.Y. Sin et al [12], who analysed scientific publications from the period 2012-2019 from the databases of Web of Science, Scopus and Google Scholar.…”

Section: Heritage Tourismmentioning

confidence: 99%

Value Propositions in Heritage Tourism Site Business Models in the Context of Open Innovation Knowledge Transfer

Szromek

2022

Journal of Open Innovation: Technology, Market, and Complexity

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This article discusses the structures of value propositions in cultural heritage tourism site business models in the context of the concept of open innovation. The objective of the study is to identify value propositions in tourism sites and the tendency of managers to use open innovation. The analysis was based on the example of European cultural heritage tourism sites associated with the European Route of Industrial Heritage. The research process included literature analysis and empirical research in the form of interviews conducted with managers of 73 sites. The research allowed for identifying 16 key values observed in the business models of cultural heritage tourism sites and then classify them into three groups, i.e., values proposed to the customer, values captured by the enterprise and social values. The following values were of the highest importance: promotion of historical industrial heritage, satisfying cognitive needs, acting as a symbol of the area, brand strengthening and organization of tourist traffic, so that the industrial heritage is preserved. It was noticed that some values were significantly correlated with the attitudes of managers towards the exchange of knowledge within open innovation. The majority of managers participating in the research were convinced that the revitalization of cultural heritage sites and the business models of these sites should be in the form of open innovation. The limitation of the research carried out is the inability to deepen the interviews, which was caused by the lack of direct contact with managers due to the COVID-19 pandemic.

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“…People's techniques of communication have experienced a tremendous tidal change as a result of the rise of social networking websites like LinkedIn, Facebook, and Twitter [1]. This modification has made it far more challenging to precisely predict issues that a sizable proportion of consumers would encounter.…”

Section: Introductionmentioning

confidence: 99%

Predicting psycho-somatic disorders in online activity using multi-layer perceptron

Gadiparthi,

Reddy

2024

IJ-AI

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<p>Internet services such as social media, blogs, and websites make it possible for people to acquire knowledge instantly. Due to these websites, it is now considerably easier to communicate information. As a result, individuals increasingly devote a higher amount of time to social networking programmes. This study provides estimates about the potential future ramifications of how individuals will utilise social networks. This work presents an accurate and applicable model for forecasting undesirable consequences. The model is of sufficient quality to be useful. This has been the case throughout. Using the model that has been proposed, significant properties are identified from datasets. After recovering the properties, they are categorised using the complicated computational method of multi-layer perceptron-based (MLP) artificial neural networks (ANN). 70% of this data was utilised during the training phase of the machine learning algorithm, while the remaining 30% was utilised during the validation phase of model construction. The proposed model's results were compared to those of more standard machine learning techniques. The approach utilises social networks to predict the issue. The simulation results indicate that the suggested model generates more precise predictions than the support vector machine, logistic regression, and random forest decision tree classifier techniques combined.</p>

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A Critical Review of Literature in the Rising Tide of Social Media Towards Promoting Tourism

Cited by 12 publications

References 68 publications

Implementasi Virtual Reality Dalam Pemasaran Pariwisata

Implementasi Virtual Reality Dalam Pemasaran Pariwisata

Value Propositions in Heritage Tourism Site Business Models in the Context of Open Innovation Knowledge Transfer

Predicting psycho-somatic disorders in online activity using multi-layer perceptron

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