Given the research interest on Big Data in Marketing, we present a literature analysis based text mining semi-automated approach with goal of identifying main trends this domain. In particular, focuses relevant terms and topics related five dimensions: Data, Geographic location authors’ affiliation (countries continents), Products, Sectors. A total 1560 articles published from 2010 to 2015 were scrutinized. The findings revealed that is bipartite between technological domains, publications...

The development of the Internet and mobile devices enabled emergence travel hospitality review sites, leading to a large number customer opinion posts. While such comments may influence future demand targeted hotels, they can also be used by hotel managers improve experience. In this article, sentiment classification an eco-hotel is assessed through text mining approach using several different sources reviews. latent Dirichlet allocation modeling algorithm applied gather relevant topics that...

Purpose This paper aims to present an automated literature analysis unveil the drivers for incorporating social media in tourism and hospitality brand strategies. Design/methodology/approach To gather relevant literature, Google Scholar was queried with “brand”/“branding” “social media” articles ten top-ranked journals, resulting a total of 479 collected articles. The methodology adopted is based on text mining topic modeling procedures. topics discovered are characterized by terms belonging...

Purpose The purpose of this paper is to further our knowledge what influences users adopt mobile augmented reality in tourism (MART). A conceptual model proposed, combining the extension Unified Theory Acceptance and Usage Technology (UTAUT2) with task technology fit (TTF), explain behavioural intention user behaviour MART adopters. Design/methodology/approach questionnaire was completed by a sample 335 respondents Portugal. Both UTAUT2 TTF were combined into new from which several...

Numerous valuable clients can be lost to competitors in the telecommunication industry, leading profit loss. Thus, understanding reasons for client churn is vital companies. This study aimed develop a prediction model predict telecom through customer segmentation. Data were collected from three major Chinese companies, and Fisher discriminant equations logistic regression analysis used build model. According results, it concluded that constructed by had higher accuracy (93.94%) better...

Digital journalism has faced a dramatic change and media companies are challenged to use data science algorithms be more competitive in Big Data era. While this is relatively new area of study the landscape, machine learning artificial intelligence increased substantially over last few years. In particular, adoption models for personalization recommendation attracted attention several publishers. Following trend, paper presents research literature analysis on role Science (DS) Journalism...

Purpose Virtual reality (VR) and augmented (AR) are two technological breakthroughs that stimulate perception. Both have been applied in tourism contexts to improve tourists’ experience. This paper aims frame both AR VR developments during the past 15 years from a scientific perspective. Design/methodology/approach study adopts text mining topic modelling approach analyse total of 1,049 articles for 406 AR. The papers were selected Scopus, with title, abstract keywords being extracted...

Abstract This article aims to assess the evolution of literature on link between Industry 4.0 and sustainable development. Through a systematic analysis literature, sample 234 documents was identified, published 2011 2021. Given large number papers collected, text mining approach performed analyze documents. In particular, latent Dirichlet allocation model adopted group articles in different relevant topics starting from two dictionaries belonging terms both domain sustainability. As result,...

Digital corporations are creating new paths of business driven by consumers empowered social media. Understanding the role that each feature drawn from online platforms has on price fluctuation is vital for leveraging decision-making. In this study, 5,603 simulations reservations 23 Portuguese cities were gathered, including characterizing features media, web visibility, and hotel amenities, four renowned sources: Booking.com, TripAdvisor, Google, Facebook. After data preparation, removal...

Mobile applications (MA) and social media (SM) platforms are changing Internet user behavior. This study aims to unveil within current academic literature, the fields where usability research has been focusing their efforts in dimensions institutional websites (IW), SM MA usability, suggest possible paths for future studies. Search was performed peer-review journals, providing 302 published articles between 1994 2018. To examine manuscripts, text mining (TM) adopted discover pertinent terms,...

Purpose This study aims to present a model drawn on both the extension of unified theory acceptance and use technology (UTAUT2) perceived value for explaining consumer behavior toward mobile hospitality services (MHS) from two perspectives: intention recommendation. Design/methodology/approach The partial least square (PLS) was applied data gathered 348 validated responses survey test number research hypotheses. Findings Results found that proposed conceptual explains 62 per cent MHS 51...

Feature selection is a highly relevant task in any data-driven knowledge discovery project. The present research focuses on analysing the advantages and disadvantages of using mutual information (MI) data-based sensitivity analysis (DSA) for feature classification problems, by applying both to bank telemarketing case. A logistic regression model built tuned set features identified each two techniques as most influencing success contact, total 13 MI 9 DSA. latter performs better lower values...

Purpose Strategic goal achievement in every sector of a company relies fundamentally on the firm's employees. This study aims to disclose factors that spur employees major Information Technology (IT) companies United States (US). Design/methodology/approach In this paper, 15,000 reviews from top 15 IT were collected social media platform Glassdoor uncover satisfy To learn most meaningful features influence scores, positive and negative remarks, as well advice management team, analyzed...

This study explores the relationships among sport stadium visitors' experiences, satisfaction, team brand image, and destination image. A text mining approach was first used to analyse 26,538 individual reviews from 17 European stadiums on TripAdvisor. The online were then as input create a word frequency of each review construct structural equation model. Results indicate that visitor experience had strong impact image moderate effect Satisfaction mediated influence but not Team exerted...