Marcello M Mariani
Biographic Data
| ID | 6194607 |
|---|---|
| NAME | Marcello M Mariani |
| GIVEN NAMES | Marcello M |
| FAMILY NAME | Mariani |
| SIGNATURE | MARIANI M M |
| AFFILIATIONS | University of Reading |
| ORCID | 0000-0002-7916-2576 |
| VERIFIED | Yes |
| TOTAL WORKS | 23 |
| TOTAL CITATIONS | 48 |
| WORKS AS AUTHOR | 21 |
| WORKS AS EDITOR | 2 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 3 |
Assessing the influence of emerging technologies on organizational data driven culture and innovation capabilities
Industry 4.0 applications can accelerate data driven decision making culture in organizations. Such data driven culture can have a profound impact on the organizational capabilities underlying product and process innovation. While there is a relatively developed body of literature on the effect of data driven culture on organizational performance, there is virtually no study that has examined how Industry 4.0 influences the data driven culture of…
Investigating reviewers' intentions to post fake vs. authentic reviews based on behavioral linguistic features
Growing interest in peer-generated online reviews for product promotion has incentivized online review manipulation. The latter is challenging to be detected. In this study, to discern reviews that are likely authentic vs. fake, we leverage interpersonal deception theory (IDT) and then investigate verbal and nonverbal features that reflect reviewers' intentions to post fake vs. authentic reviews by using topic modeling techniques. Our findings sh…
Opinion Paper
Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, …
Exploring environmental concerns on digital platforms through big data
By deploying big data analytical techniques to retrieve and analyze a large volume of more than 2.7 million reviews, this work sheds light on how environmental concerns expressed by tourists on digital platforms, in the guise of online reviews, influence their satisfaction with tourism and hospitality services. More specifically, we conduct a multi-platform study of Tripadvisor.com and Booking.com online reviews (ORs) pertaining to hotel services…
Do submission devices influence online review ratings differently across different types of platforms? A big data analysis
Deploying big data analytical techniques to retrieve and analyze a large volume of more than 2.7 million online consumer reviews (OCRs), this work sheds light on how mobile devices used by consumers to post online reviews influence their satisfaction with services. More specifically, we conduct a multi-platform study of TripAdvisor.com and Booking.com OCRs pertaining to hotel services across eight leading tourism destination cities in the America…
Examining the role of intellectual capital on knowledge sharing in digital platform-based MNEs and its impact on firm performance
Non-market strategies are strategies that happen outside the marketplace. Despite their increasing relevance, they have been overlooked when studying digital platform-based enterprises. To address this gap, our study focuses on digital platforms and builds and tests hypotheses in relation to digital platform based MNEs. First, we identify several antecedents and consequences of the adoption of non-market strategies by digital platform-based multi…
Identifying a destination’s optimal tourist market mix
Extant tourism research has used various portfolio model types to determine optimal tourist market mixes which simultaneously maximize total tourist expenditure and minimise the instability of international inbound tourism demand. We analyse the three portfolio models that have been applied in the tourism literature: two varieties of a levels model (that use the level of tourist arrivals, or bed nights to quantify tourist activity) and a growth r…
Innovative value-based price assessment in data-rich environments
This work introduces, develops, and empirically applies an innovative approach aimed at assessing selling prices based on the value perceived by the customers, as measured by electronic word-of-mouth (eWOM) in the guise of online reviews. To achieve this aim, it applies a constant return to scale Data Envelopment Analysis (DEA) approach where the price is the input, and the value attributes are the outputs measured through eWOM in the form of onl…
The role of emotions in the consumer meaning-making of interactions with social robots
The interaction with social robots is supposed to be a unique and emotionally charged activity. Based on the diffusion of innovations literature, subjective feelings represent a driver of the innovation diffusion process. Yet, to date, no study has comprehensively assessed consumers' emotional responses over time to interactions with social robots. Thus, the study aims to address this research gap by combining innovation diffusion and psychology …
Investigating the effect of advertising irritation on digital advertising effectiveness
The impact of Covid-19 on destination visit intention and local food consumption
Purpose This paper aims to investigate the relationships between motivation and intention to consume local food and between intention to consume local food and intention to visit the destination of that food's origin while examining the moderating effect of risk perception associated with coronavirus disease 2019 (COVID-19). Design/methodology/approach Data were collected from two samples of potential Chinese tourists in the contexts of Italian a…
Features, drivers, and outcomes of food tourism
Food is increasingly becoming a central aspect in staging memorable experiences within the tourism and hospitality sector (Kunasegaran et al., 2019; de Albuquerque Meneguel et al., 2019; Cetin et al., 2019), and it is a major motivation for traveling (Okumus et al., 2021; Chang et al., 2020). Food is therefore important for at least three different sets of reasons. First, it can be a major pull factor to a tourism destination (Su et al., 2020) an…
Environmental discourse in hotel online reviews
The purpose of this study is to investigate if there is a trend in online consumers’ environmental discourse, and whether online consumers’ environmental discourse differs across different types of online review platforms, i.e., transaction-based vs. community-based platforms. To achieve this purpose, first we define the concept of online consumers’ environmental discourse and operationalize the measures of online consumers’ environmental discour…
Innovation Analytics and Digital Innovation Experimentation
Explaining the intention to use digital personal data stores
This Is My Hometown! The Role of Place Attachment, Congruity, and Self-Expressiveness on Residents’ Intention to Share a Place Brand Message Online
In a gradually more hypercompetitive global tourism arena, destination marketers are increasingly seeking effective ways to promote places through appealing place brand messages. Local residents can be valuable ambassadors for the place, as well as co-creators of place-related brand communication. However, research focusing on place advertising from the residents’ perspective is scant. To address this gap, this work identifies three main antecede…
Online reviews
Effects of the Booking.com rating system
The “Pink Night” festival revisited
Tourism Management, Marketing, and Development
Companies and destinations in the tourism sector are confronted with increasing managerial challenges and have to deal with a competitive, turbulent, and fast-changing environment. The understanding that both tourism companies and destinations endowed with the best assets (natural and cultural) cannot survive the escalating international competition without good managerial practices, has provided significant momentum for the development of the di…
Facebook as a destination marketing tool
Tourism Management, Marketing, and Development
Open data initiatives from governments or local authorities are recent, but they have rapidly resulted in the development of services or mobiles applications, often dedicated to tourism. This paper defines the open data phenomenon and explores the different implications for the tourism industry, considered as a sectoral system of innovation and production. This approach allows to grasp the different dimensions of the impacts of open data - instit…
Behind the scenes of public funding for performing arts in Italy
This paper focuses on how Italian performing arts organizations were funded between 2003 and 2005. How does policy regulate the financing system for performing arts? What are the underlying logics that govern financing choices? In this paper the authors move beyond the simple examination of formal policies by analysing the funding data and organizational routines of the ministerial offices responsible for the allocation of grants. The authors imp…
Facebook as a destination marketing tool
Online reviews
The “Pink Night” festival revisited
Effects of the Booking.com rating system
Behind the scenes of public funding for performing arts in Italy
This paper focuses on how Italian performing arts organizations were funded between 2003 and 2005. How does policy regulate the financing system for performing arts? What are the underlying logics that govern financing choices? In this paper the authors move beyond the simple examination of formal policies by analysing the funding data and organizational routines of the ministerial offices responsible for the allocation of grants. The authors imp…
Identifying a destination’s optimal tourist market mix
Extant tourism research has used various portfolio model types to determine optimal tourist market mixes which simultaneously maximize total tourist expenditure and minimise the instability of international inbound tourism demand. We analyse the three portfolio models that have been applied in the tourism literature: two varieties of a levels model (that use the level of tourist arrivals, or bed nights to quantify tourist activity) and a growth r…
Behind the scenes of public funding for performing arts in Italy
This paper focuses on how Italian performing arts organizations were funded between 2003 and 2005. How does policy regulate the financing system for performing arts? What are the underlying logics that govern financing choices? In this paper the authors move beyond the simple examination of formal policies by analysing the funding data and organizational routines of the ministerial offices responsible for the allocation of grants. The authors imp…
Tourism Management, Marketing, and Development
Open data initiatives from governments or local authorities are recent, but they have rapidly resulted in the development of services or mobiles applications, often dedicated to tourism. This paper defines the open data phenomenon and explores the different implications for the tourism industry, considered as a sectoral system of innovation and production. This approach allows to grasp the different dimensions of the impacts of open data - instit…
Tourism Management, Marketing, and Development
Companies and destinations in the tourism sector are confronted with increasing managerial challenges and have to deal with a competitive, turbulent, and fast-changing environment. The understanding that both tourism companies and destinations endowed with the best assets (natural and cultural) cannot survive the escalating international competition without good managerial practices, has provided significant momentum for the development of the di…
Facebook as a destination marketing tool
The “Pink Night” festival revisited
Online reviews
Effects of the Booking.com rating system
This Is My Hometown! The Role of Place Attachment, Congruity, and Self-Expressiveness on Residents’ Intention to Share a Place Brand Message Online
In a gradually more hypercompetitive global tourism arena, destination marketers are increasingly seeking effective ways to promote places through appealing place brand messages. Local residents can be valuable ambassadors for the place, as well as co-creators of place-related brand communication. However, research focusing on place advertising from the residents’ perspective is scant. To address this gap, this work identifies three main antecede…
Environmental discourse in hotel online reviews
The purpose of this study is to investigate if there is a trend in online consumers’ environmental discourse, and whether online consumers’ environmental discourse differs across different types of online review platforms, i.e., transaction-based vs. community-based platforms. To achieve this purpose, first we define the concept of online consumers’ environmental discourse and operationalize the measures of online consumers’ environmental discour…
Innovation Analytics and Digital Innovation Experimentation
Explaining the intention to use digital personal data stores
Innovative value-based price assessment in data-rich environments
This work introduces, develops, and empirically applies an innovative approach aimed at assessing selling prices based on the value perceived by the customers, as measured by electronic word-of-mouth (eWOM) in the guise of online reviews. To achieve this aim, it applies a constant return to scale Data Envelopment Analysis (DEA) approach where the price is the input, and the value attributes are the outputs measured through eWOM in the form of onl…
The role of emotions in the consumer meaning-making of interactions with social robots
The interaction with social robots is supposed to be a unique and emotionally charged activity. Based on the diffusion of innovations literature, subjective feelings represent a driver of the innovation diffusion process. Yet, to date, no study has comprehensively assessed consumers' emotional responses over time to interactions with social robots. Thus, the study aims to address this research gap by combining innovation diffusion and psychology …
Investigating the effect of advertising irritation on digital advertising effectiveness
The impact of Covid-19 on destination visit intention and local food consumption
Purpose This paper aims to investigate the relationships between motivation and intention to consume local food and between intention to consume local food and intention to visit the destination of that food's origin while examining the moderating effect of risk perception associated with coronavirus disease 2019 (COVID-19). Design/methodology/approach Data were collected from two samples of potential Chinese tourists in the contexts of Italian a…
Features, drivers, and outcomes of food tourism
Food is increasingly becoming a central aspect in staging memorable experiences within the tourism and hospitality sector (Kunasegaran et al., 2019; de Albuquerque Meneguel et al., 2019; Cetin et al., 2019), and it is a major motivation for traveling (Okumus et al., 2021; Chang et al., 2020). Food is therefore important for at least three different sets of reasons. First, it can be a major pull factor to a tourism destination (Su et al., 2020) an…
Opinion Paper
Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, …
Exploring environmental concerns on digital platforms through big data
By deploying big data analytical techniques to retrieve and analyze a large volume of more than 2.7 million reviews, this work sheds light on how environmental concerns expressed by tourists on digital platforms, in the guise of online reviews, influence their satisfaction with tourism and hospitality services. More specifically, we conduct a multi-platform study of Tripadvisor.com and Booking.com online reviews (ORs) pertaining to hotel services…
Do submission devices influence online review ratings differently across different types of platforms? A big data analysis
Deploying big data analytical techniques to retrieve and analyze a large volume of more than 2.7 million online consumer reviews (OCRs), this work sheds light on how mobile devices used by consumers to post online reviews influence their satisfaction with services. More specifically, we conduct a multi-platform study of TripAdvisor.com and Booking.com OCRs pertaining to hotel services across eight leading tourism destination cities in the America…
Examining the role of intellectual capital on knowledge sharing in digital platform-based MNEs and its impact on firm performance
Non-market strategies are strategies that happen outside the marketplace. Despite their increasing relevance, they have been overlooked when studying digital platform-based enterprises. To address this gap, our study focuses on digital platforms and builds and tests hypotheses in relation to digital platform based MNEs. First, we identify several antecedents and consequences of the adoption of non-market strategies by digital platform-based multi…
Identifying a destination’s optimal tourist market mix
Extant tourism research has used various portfolio model types to determine optimal tourist market mixes which simultaneously maximize total tourist expenditure and minimise the instability of international inbound tourism demand. We analyse the three portfolio models that have been applied in the tourism literature: two varieties of a levels model (that use the level of tourist arrivals, or bed nights to quantify tourist activity) and a growth r…
Assessing the influence of emerging technologies on organizational data driven culture and innovation capabilities
Industry 4.0 applications can accelerate data driven decision making culture in organizations. Such data driven culture can have a profound impact on the organizational capabilities underlying product and process innovation. While there is a relatively developed body of literature on the effect of data driven culture on organizational performance, there is virtually no study that has examined how Industry 4.0 influences the data driven culture of…
Investigating reviewers' intentions to post fake vs. authentic reviews based on behavioral linguistic features
Growing interest in peer-generated online reviews for product promotion has incentivized online review manipulation. The latter is challenging to be detected. In this study, to discern reviews that are likely authentic vs. fake, we leverage interpersonal deception theory (IDT) and then investigate verbal and nonverbal features that reflect reviewers' intentions to post fake vs. authentic reviews by using topic modeling techniques. Our findings sh…
Business (18 works) · Computer Science (16 works) · Marketing (14 works) · Digital Marketing and Social Media (13 works) · Tourism (13 works) · Diverse Aspects of Tourism Research (11 works) · Advertising (9 works) · Marketing (8 works) · Political science (8 works) · Psychology (7 works)