Elsevier

Tourism Management

Volume 85, August 2021, 104291
Tourism Management

#ILoveLondon: An exploration of the declaration of love towards a destination on Instagram

https://doi.org/10.1016/j.tourman.2021.104291Get rights and content

Abstract

Travellers increasingly use a combination of photographs, texts and hashtags to expressing their attitude towards tourism destinations (TDs). Existing destination branding literature has not yet investigated how consumers express their love towards TDs on social media. This study addresses this knowledge gap and explores how destination brand love (DBL) is expressed on Instagram using a mixed-methods approach. Study one consists of a qualitative visual content analysis of 700 user-generated photographs; while study two adopts text analytics with a sample of 48,783 posts. The findings show Instagram users’ declaration of DBL is expressed through photographs of some destination attributes (natural & architectural, people, public transportation, food, weather), accompanied by specific positive emotions (amazement, attractiveness, pleasure, preference, enchantment, nostalgia, belongingness, intimacy). The findings also illustrate how Instagram users express their love by providing emotional support when the destination goes through a crisis and that different stakeholders co-create the emotional capital of TDs.

Introduction

Destination branding enables tourism marketers to create a unique and differential image of the destination by combining a place's environmental, social and cultural capital within the destination brand (Campelo, Aitken, Thyne, & Gnoth, 2014). By showcasing the features and characteristics that make a destination distinctive and attractive (Blain, Levy, & Ritchie, 2005), destination branding helps destination management organizations (DMOs) in marketing the destination's identity, not only to visitors but also to residents (Blain et al., 2005; Pike, 2005; Pike & Page, 2014).

Nevertheless, destination brand image is not created by DMOs alone. Social media users today contribute to the co-creation of destination image through posting stories and digital photographs narrating their experience with the destinations' offerings. Moreover, travellers increasingly communicate their feelings about destinations, accommodations, and restaurants through social media (Xiang & Gretzel, 2010; Lo, McKercher, Lo, Cheung, & Law, 2011; Mak, 2017). Assisted by hashtags and geolocation services, social photography becomes increasingly popular, making destination brand image the inevitable product of consumers' social media conversations (Fournier & Avery, 2011; Kim, Lee, Shin, & Yang, 2017; Kladou & Mavragani, 2015; Mak, 2017; Oliveira & Panyik, 2015). Often the urge to share is intensified after satisfactory visits or encounters with destination stimuli and as a result of their DBL. DBL denotes the self-identification and passionate emotional attachment that one has toward a destination (Aro, Suomi, & Saraniemi, 2018). Such digital photographs shared to express DBL are particularly influential, acting as positive word-of-mouth (Bergkvist & Bech-Larsen, 2010; Donaire, Camprubí, & Galí, 2014; Filieri, 2015; Wallace, Buil, & de Chernatony, 2014), and can easily influence actual and prospect tourists’ attitudes towards a destination (Kim & Stepchenkova, 2015; Lund, Cohen, & Scarles, 2017).

However, how images are deployed to express social media users' feeling towards a destination has only received scant research attention (Aro et al., 2018; Kladou & Mavragani, 2015; Oliveira & Panyik, 2015). Instead, extant research has focused on: the potential use of Instagram for destination branding purposes (Fatanti & Suyadnya, 2015), the socio-demographics of travellers who post travel-related pictures (Lo et al., 2011), the similarities and differences between visitors and residents' perceptions of a destination (Garrod, 2009), the differences between projected and travellers’ destination image (Mak, 2017; Stepchenkova & Zhan, 2013), the role of culture in destination image perception (Stepchenkova, Kim, & Kirilenko, 2015), and the effect of travel photographs in forming attitude and destination visit intention (Kim & Stepchenkova, 2015).

Some studies touched on travellers' relationship with tourism destinations, examining the emotional bonds between people and places (Pan, Lee, & Tsai, 2014; Cheng & Kuo, 2015). Scholars investigated travellers' love towards a destination (Aro et al., 2018; Lee & Hyun, 2016; Swanson, 2015, 2017). Nevertheless, they paid little attention to how social media users express their love towards a destination through image-sharing, and specifically on Instagram, overlooking the point that a brand's reality often lies in the experience of its consumers, through their passionate brand identification and engagement (Kohli, Yen, Alwi, & Gupta, 2020). This oversight might explain why many DMOs are struggling to differentiate their destinations from competitors (Aro et al., 2018; Stepchenkova & Zhan, 2013), as they fail to observe how consumers express or declare strong emotions towards a specific destination using digital photographs.

Furthermore, very few studies have explored DBL in crisis situation, such as, when a destination suffers a terrorist attack. Although crises are assumed to have negative effects on a destination's reputation, attractiveness, perceived safety, and intention to travel (Sönmez, Apostolopoulos, & Tarlow, 1999), tourists sometimes manifest forms of emotional solidarity towards residents (Woosnam & Aleshinloye, 2013). By exploring the declaration of love prior to and during a time of crisis, this study also contributes to research on tourists' emotional solidarity during a crisis (Woosnam & Aleshinloye, 2013).

To address these research gaps, this paper asks the following research questions: how do Instagram users express their love towards a destination brand in their posts? And more specifically, which destination attributes, emotions, and hashtags are adopted in the declaration of love towards a tourism destination? How do Instagram users declare their love before, during and after a crisis?

We chose Instagram and London as the research setting. Instagram is the leading image-sharing social media platform, with one billion monthly active users (Statista, 2020). London is one of the most popular tourism destinations and ranks the highest on the global power city index (ONS, 2020; UNWTO, 2019). Since we focus on exploring how DBL is expressed, we chose to explore the user-generated posts published under the destination love hashtag #iLoveLondon on Instagram, which hosts over 1 million posts (i.e. 1,277,359; January 2021, Instagram). Adopting an abductive mode of reasoning, we adopted a mixed-methods approach to gain a comprehensive understanding of the researched topic (Johnson & Onwuegbuzie, 2004). Combing a visual content analysis of 700 Instagram photographs and a text analysis of 48,783 posts’ text and hashtags, this study extends the depth and breadth of enquiry through method and data triangulation (Creswell & Miller, 2000; Torrance, 2012).

The study's findings can provide valuable insights to managers of destination management organizations (DMOs) and help them identify the destination attributes and the most appropriate hashtags used to express love towards a destination. As such, this paper extends previous understandings of DBL, by specifically illustrating how love is expressed through social image-sharing on Instagram and unravelling the emotional bond between people and places (Cheng & Kuo, 2015).

Section snippets

Destination brand love (DBL)

Destination image is commonly defined as the sum of the beliefs, ideas, and impressions that a person has of a destination (Crompton, 1979, p. 18). Baloglu and McCleary (1999, p. 870) defined image as an individual's mental representation of knowledge (beliefs), feelings, and global impressions about a destination. Destination image comprises an affective component, namely an individual's feelings towards a destination (Echtner & Ritchie, 1993). Baloglu and Brinberg (1997) reveal that the

Research context, data collection and sampling

As explained in the introduction, London was chosen as the research context because it is one of the world's most visited tourism destinations (ONS, 2020; UNWTO, 2019) and has more than one millions of user-generated posts declaring feelings of love towards London on Instagram. Taking on a consumer-centric approach to branding (Kohli et al., 2020), we took the stance to accept that when Instagram users post under relevant destination love hashtags such as #iLoveLondon, they are expressing and

Research findings

Considering this paper focuses on exploring how destination BL is expressed through: a) key destination attributes and characteristics, b) emotions and feelings c) hashtags; the findings section will be presented discussing the findings derived from study one and from study two.

Discussion

Instagram is increasingly used by travellers to narrate their travel experience and share them with their peers and the extended social media network (Haldrup & Larsen, 2003). This study sought to achieve an in-depth explanation of the declaration of love towards a destination brand on social media. While there is increasing interest in travel photography (e.g. Kim & Stepchenkova, 2015; Lo et al., 2011; Lo & McKercher, 2015; Mak, 2017; Nikjoo & Bakhshi, 2019), little is known about the

Managerial implications

Whilst Instagram as a social media platform is actively employed by users through photo sharing, interacting, tagging and discussions, to communicate, display and declare their love towards places and destinations, the findings highlight the potential of such customer-to-customer practice in value co-creation. The findings are going to be of interest for DMOs of the most loved tourism destinations such as London, New York, Rome, Paris, and increasingly Barcelona, Amsterdam, and Istanbul. The

Limitations and future research directions

The research suffers from the following limitations. Firstly, the data was collected from one platform (i.e. Instagram) and at a specific point in time. Although this is one of the most popular platforms to post travel experiences (Fatanti & Suyadnya, 2015; Sheldon & Bryant, 2016), it is not the only one. Hence, future research could use a combination of social media platforms where travellers post pictures of the destination they visit such as Pinterest, Facebook, Weibo, and WeChat. Moreover,

Impact statement

We contribute to the destination brand love literature by exploring how travellers declare their love towards a destination (attributes, emotions, hashtags) on Instagram

Credit roles

Raffaele Filieri: Conceptualization; Data curation; Formal analysis; Funding acquisition; Investigation; Methodology; Project administration; Resources; Software; Validation; Visualization; Writing – original draft; Writing – review & editing, Dorothy A. Yen: Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Project administration; Resources; Supervision; Validation; Visualization; Writing – original draft; Writing – review & editing, Qionglei Yu: Conceptualization;

Declaration of competing interest

None.

Dr. Raffaele Filieri is Professor of Digital Marketing in the Marketing Department at Audencia Business School, Nantes, France. His research interests include eWOM, social media marketing, online trust, online value co-creation, technology adoption and continuance intention, branding, and inter-firm knowledge management. His researches have appeared in Annals of Tourism Research; Tourism Management; Journal of Travel Research; Journal of Interactive Marketing; Journal of Business Research;

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    Dr. Raffaele Filieri is Professor of Digital Marketing in the Marketing Department at Audencia Business School, Nantes, France. His research interests include eWOM, social media marketing, online trust, online value co-creation, technology adoption and continuance intention, branding, and inter-firm knowledge management. His researches have appeared in Annals of Tourism Research; Tourism Management; Journal of Travel Research; Journal of Interactive Marketing; Journal of Business Research; Industrial Marketing Management; Psychology & Marketing; International Journal of Contemporary Hospitality Management; International Journal of Hospitality Management; Information & Management; Transportation Research Part E; Information Technology & People; Computers in Human Behavior; Technological Forecasting & Social Change; International Journal of Information Management; Journal of Consumer Affairs; Expert Systems; Journal of Brand Management, Journal of Knowledge Management and many more.

    Dr Dorothy A. Yen is Professor in Marketing at Brunel Business School, Brunel University London. Dorothy takes on a consumer-centric approach to understand and discuss marketing, branding, and tourism phenomena. Dorothy is particular interested in exploring how culture affects human behavior, in both b2b and b2c domains. She studies cross-cultural business relationships, film branding, consumer acculturation, sojourners and migrants food consumption and social media practices, tourism boycott, and contributes to the debate of Anglo-Chinese business relationships by discussing how guanxi affects relationship performance. Her works are published in journals such as British Journal of Management, Annals of Tourism Research, Industrial Marketing Management, Journal of Business Research, International Marketing Review, European Journal of Marketing, Journal of Marketing Management, Technological Forecasting and Social change, Journal of General Management, Studies in Higher Education, and others.

    Dr. Qionglei Yu is a senior lecturer in Marketing and Programme Director for MSc International Marketing at Newcastle University Business School, holding a Ph.D Degree in Management from the University of Sheffield. Dr Yu's research interests include internal marketing, consumer behaviour, cross-cultural studies and international tourism. Her research has appeared in Annals of Tourism Research; The International Journal of Human Resource Management; International Marketing Review; Technological Forecasting & Social Change.

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