Online reviews: Differences by submission device

Mariani, Marcello M.; Borghi, Matteo; Gretzel, Ulrike

doi:10.1016/j.tourman.2018.08.022

Cited by 120 publications

(104 citation statements)

References 17 publications

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“…But not all the production activities play on the same plain big data field. Some suggest that the environmental context may have a significant role in it and contingency theory would justify it (Dale Stoel and Muhanna, 2009;Mariani et al, 2019;Pratono, 2016). However, research has not fully considered the effects of environmental context on the relationship between various big data solutions and performance.…”

Section: Introductionmentioning

confidence: 99%

Big data analytics business value and firm performance: linking with environmental context

Vitari

Raguseo

2019

International Journal of Production Research

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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Introductionmentioning

confidence: 99%

Big data analytics business value and firm performance: linking with environmental context

Vitari

Raguseo

2019

International Journal of Production Research

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“…In terms of methods, unsupervised machine learning will probably gain momentum as well as Artificial Intelligence (AI). Third, while the retrieval of large volumes of varied data in real time might generate an opportunity to overcome generalization issues and work with representative samples (Gerard et al, 2016), the challenge would be to ensure comparability: for instance scholars interested in e-WOM will increasingly resort to cross-platform cross-country studies whereby online customer behaviors will be compared (Mariani, Borghi and Kazakov, 2019) also controlling for mobile devices (Mariani, Borghi and Gretzel, 2019). Fourth, increasingly applied researchers might have access to (digital) data streams (Pigni et al, 2016) in real time.…”

Section: Future Perspective 75 Years 2020-2095mentioning

confidence: 99%

Big Data and analytics in tourism and hospitality: a perspective article

Mariani

2019

103

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A perspective articlePurpose: This study aims at discussing the evolution of Big Data and Analytics in the tourism and hospitality field. It analyses the important role that Big Data (BD) has played so far in tourism and hospitality research and delineates how it might evolve in the future.Design/methodology/approach: In line with the Platinum Jubilee Special Issue of Tourism Review, this work consists of a critical and conceptual analysis including a mini literature review of recent work in the area at the intersection of BD and tourism and hospitality research.Findings: Findings suggest that tourism and hospitality scholars are increasingly aware of and adopting BD approaches to retrieve, collect, analyse, report and visualize their data. However, a number of avenues for improvement in the use and interpretation of BD and BD analytics as both sets of methods and technology need to be developed. Moreover, BD analytics promise to enhance a number of digital technologies in tourism and hospitality such as AI and IoT that heavily rely on data. As such we envision that a new digital entrepreneurship field might be shaped within the tourism and hospitality literature. Research pathways for future inquiry at the intersection of big data and tourism and hospitality are outlined.Originality/value: While thinking retrospectively about research revolving around BD and its role in the tourism and hospitality research field so far, this study also addresses the challenges pertaining to how BD research will be conducted in the next seven decades within tourism and hospitality.

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“…Further research might look at budget hotels (such as one-star and two-star) as well, provided that good quality financial data will become available. Fifth, our study did not control for reviewer-level factors such as reviewers' cultural background [100] and submission device used for the review [99]: these factors might be taken into account in future studies to understand if and to what extent they drive online reviewing behavior and ultimately eWOM and performance. Last, our study focuses on a single destination that, though relevant from a national and international point of view, is not necessarily representative of hotel populations in other destinations.…”

Section: Limitations and Research Agendamentioning

confidence: 99%

Online Review Helpfulness and Firms’ Financial Performance: An Empirical Study in a Service Industry

Mariani

Borghi

2020

International Journal of Electronic Commerce

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This study aims to bridge a significant research gap in the electronic word-of-mouth (eWOM) literature: measuring the effect of the degree of online review helpfulness (ORH) on firms' financial performance. As studies of the impact of ORH on firm performance in the context of service industries in general and more specifically in the hospitality sector are virtually nonexistent, this work intends to offer insights to eWOM researchers by analyzing if and to what extent ORH affects the financial performance of hospitality firms. Based on a re-visitation of the antecedents of ORH stemming from information adoption models, social influence theory and dual process theory, we analyze the moderating effects of the degree of ORH on the relationships between online review valence/volume and firms' financial performance. Based on the examination of 395,964 online reviews related to 261 higherend hotels located in London, the third most visited destination worldwide, we find that the degree of ORH positively moderates the positive effect of the reviews' valence on financial performance, while it does not moderate significantly the positive effect of the reviews' volume on financial performance. Theoretical contributions to the nascent research stream taking an outcome-oriented approach to the study of eWOM helpfulness and managerial implications are discussed.

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Online reviews: Differences by submission device

Cited by 120 publications

References 17 publications

Big data analytics business value and firm performance: linking with environmental context

Big data analytics business value and firm performance: linking with environmental context

Big Data and analytics in tourism and hospitality: a perspective article

Online Review Helpfulness and Firms’ Financial Performance: An Empirical Study in a Service Industry

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