This must be the place: A destination-loyalty model for extreme sporting events

Raggiotto, Francesco; Scarpi, Daniele

doi:10.1016/j.tourman.2020.104254

Cited by 19 publications

(17 citation statements)

References 80 publications

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“…Finally, individuals can develop positive and negative emotions for inanimate objects, such as stores (Badrinarayanan and Becerra 2019), brands (Park et al 2010), and places (Raggiotto and Scarpi 2021), even in computer-mediated environments (Dwivedi et al 2019). Such a bond is usually referred to as emotional attachment and stems from the emotions perceived during an experience, for instance, while shopping (Dunn and Hoegg 2014; Badrinarayanan and Becerra 2019).…”

Section: Theoretical Background and Hypothesesmentioning

confidence: 99%

I, Robot, You, Consumer: Measuring Artificial Intelligence Types and their Effect on Consumers Emotions in Service

Pantano

Scarpi

2022

Journal of Service Research

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This research draws upon the increasing usage of AI in service. It aims at understanding the extent to which AI systems have multiple intelligence types like humans and if these types arouse different emotions in consumers. To this end, the research uses a two-study approach: Study 1 builds and evaluates a scale for measuring different AI intelligence types. Study 2 evaluates consumers’ emotional responses to the different AI intelligences. The findings provide a measurement scale for evaluating different types of artificial intelligence against human ones, thus showing that artificial intelligences are configurable, describable, and measurable (Study 1), and influence positive and negative consumers’ emotions (Study 2). The findings also demonstrate that consumers display different emotions, in terms of happiness, excitement, enthusiasm, pride, inspiration, sadness, fear, anger, shame, and anxiety, and also emotional attachment, satisfaction, and usage intention when interacting with the different types of AI intelligences. Our scale builds upon human intelligence against AI intelligence characteristics while providing a guidance for future development of AI-based systems more similar to human intelligences.

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Section: Theoretical Background and Hypothesesmentioning

confidence: 99%

I, Robot, You, Consumer: Measuring Artificial Intelligence Types and their Effect on Consumers Emotions in Service

Pantano

Scarpi

2022

Journal of Service Research

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“…Authors that focus on gastronomic tourism emphasize that gastronomy is a critical component of overall destination satisfaction. Tourists' expectations about gastronomy, destination, and frequency to visit again forecast their loyalty [68,69]. Tourists are the real ambassadors of their own country, presenting country images in a sophisticated way to others.…”

Section: Destination Satisfaction and Destination Loyaltymentioning

confidence: 99%

Gastronomic Tourism and Tourist Motivation: Exploring Northern Areas of Pakistan

Ullah

Khan

Saeed

et al. 2022

IJERPH

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Gastronomic tourism is becoming an essential consideration among tourists when choosing a tourist destination. One of the main reasons for visiting a specific destination for almost 15% of tourists is “gastronomy”. This has led to the development of a new kind of tourism called “Gastronomic Tourism”. However, there has been minimal research on gastronomy tourism, specifically in Pakistan. The primary purpose of this study is to measure the level of satisfaction in a tourist destination and furthermore consider gastronomy as a component of visitor motivation. A survey of 307 tourists who had recently visited Pakistan’s northern areas was undertaken to conduct the study. This has enabled us to better understand the variables that influence the behaviors and attitudes of tourists toward this popular tourist attraction. Gastronomy motivation impacts tourism location selection, and gastronomic experience influences satisfaction, according to the research. Specifically, tourists show a keen interest in gastronomic experiences after feeling satisfied with the destination and local foods, developing loyalty toward the destination.

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“…Extant studies tend, however, only recently begun to recognise such possibilities, as they are focused on specific events and fail to consider their relationship to the destination hosting the event or the other events in its calendar. An exception is the recent study by Raggiotto and Scarpi (2021), which successfully linked event satisfaction with destination loyalty. In theory, therefore, it may be possible to cross-leverage benefits from events in a portfolio in terms attendees' returning to the destination (as opposed to specifically the event).…”

Section: Drivers Of Event Successmentioning

confidence: 99%

Cross-leveraging synergistic benefits from across an event portfolio: Empirical evidence from Madeira

Almeida

Garrod

2021

Journal of Destination Marketing & Management

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This must be the place: A destination-loyalty model for extreme sporting events

Cited by 19 publications

References 80 publications

I, Robot, You, Consumer: Measuring Artificial Intelligence Types and their Effect on Consumers Emotions in Service

I, Robot, You, Consumer: Measuring Artificial Intelligence Types and their Effect on Consumers Emotions in Service

Gastronomic Tourism and Tourist Motivation: Exploring Northern Areas of Pakistan

Cross-leveraging synergistic benefits from across an event portfolio: Empirical evidence from Madeira

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