A5022339119- Digital Marketing and Social Media
- Consumer Behavior in Brand Consumption and Identification
- Technology Adoption and User Behaviour
- Customer Service Quality and Loyalty
- Knowledge Management and Sharing
- Sharing Economy and Platforms
- Innovation and Knowledge Management
- Consumer Retail Behavior Studies
- FinTech, Crowdfunding, Digital Finance
- Diverse Aspects of Tourism Research
- Impact of Technology on Adolescents
- Social Capital and Networks
- Environmental Sustainability in Business
- Open Source Software Innovations
- Media Influence and Health
- Service and Product Innovation
- Business Strategy and Innovation
- Marketing and Advertising Strategies
- Outsourcing and Supply Chain Management
- Collaboration in agile enterprises
- Innovation and Socioeconomic Development
- Digital Communication and Language
- Intellectual Capital and Performance Analysis
- University-Industry-Government Innovation Models
- AI in Service Interactions
Audencia Business School
2017-2025
Polytechnic University of Turin
2023
Aix-Marseille Université
2023
University of Parma
2023
Newcastle University
2016-2018
Northumbria University
2007-2016
University of Limerick
2010-2011
Sapienza University of Rome
2010
The use of the internet and social media have changed consumer behavior ways in which companies conduct their business. Social digital marketing offers significant opportunities to organizations through lower costs, improved brand awareness increased sales. However, challenges exist from negative electronic word-of-mouth as well intrusive irritating online presence. This article brings together collective insight several leading experts on issues relating marketing. experts' perspectives...
Online reviews (ORs) are continuing to foster a renewed spread of word-of-mouth in the travel industry. Travelers increasingly using ORs inform them about accommodations and other tourism-related products. As such, it is important improve our understanding behavioral consequences e-word-of-mouth. In this article, we adopt elaboration likelihood model identify what influences travelers information from their decision making. We measure influence six dimensions quality that part central route...
Abstract The initial hype and fanfare from the Meta Platforms view of how metaverse could be brought to life has evolved into an ongoing discussion not only metaverse's impact on users organizations but also societal cultural implications widespread usage. potential consumer interaction with brands within engendered significant debate marketing‐focused discourse key challenges transformative opportunities for marketers. Drawing insights expert contributors, this study examines marketing...
Purpose Recent figures show that users are discontinuing their usage of TripAdvisor, the leading user-generated content (UGC) platform in tourism sector. Hence, it is relevant to study factors influence travelers’ continued use TripAdvisor. Design/methodology/approach The authors have integrated constructs from technology acceptance model, information systems (IS) continuance model and electronic word mouth literature. They used PLS-SEM (smartPLS V.3.2.8) test hypotheses using data 297...
Sharing economy platforms are growing at an unprecedented rate. Travel and tourism scholars have been focusing on customers’ sharing intention, yet the literature has largely overlooked what makes service providers trust a platform decide to continue using it. Drawing sociotechnical theory information systems success model, in conjunction with privacy concerns economic value perspectives, this study develops integrated model of antecedents consequences toward platforms. Data from 606 Airbnb...
Abstract University–Industry Collaboration networks are increasingly significant to national economies. Previous studies have identified barriers and enablers of Collaborations, however our understanding the evolution such collaborations is still limited thereby restricting ability nurture their development. This study explores establishment a successful considers range perceived through four emergent evolutionary phases: embryonic, initiation, engagement established . The adopted...
Purpose The travel and tourism industry (TTI) could benefit the most from artificial intelligence (AI), which reshape this industry. This study aims to explore characteristics of AI start-ups, technological domains financed by Venture Capitalists (VCs), phases supply chain where are in high demand. Design/methodology/approach developed a database European start-ups operating TTI Crunchbase (2005–2020). authors used as unit analysis they often foster radical change. complemented quantitative...
Understanding consumer emotions arising from robot-customers encounters and shared through online reviews is critical for forecasting consumers’ intention to adopt service robots. Qualitative analysis has the advantage of generating rich insights data, but it requires intensive manual work. Scholars have emphasized benefits using algorithms recognizing differentiating among emotions. This study critically addresses advantages disadvantages qualitative machine learning methods by adopting a...
Artificial intelligence-enabled voice assistant services have received notable scholarly attention. Fashion retailers offer AI-based assistants to facilitate online shoppers. However, the consumer motivations use digital and their effect on purchase intentions of fashion shoppers are unexplored. To bridge this literature gap, study presents a unique theoretical model grounded in innovativeness concept, broaden-and-built theory, stimulus-organism-response explore motivated intention awe...