• Open access
  • Published: 23 September 2023

Using social media marketing to pro-tourism behaviours: the mediating role of destination attractiveness and attitude towards the positive impacts of tourism

  • Zyad M. Alzaydi 1 &
  • Mohamed H. Elsharnouby   ORCID: orcid.org/0000-0001-9447-5717 2 , 3  

Future Business Journal volume  9 , Article number:  42 ( 2023 ) Cite this article

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Social media has recently played a highly impactful role in communication. Specifically, these channels are vital and have a substantial influence on the attitudes, behavioural intentions, and actual behaviour of tourists. Previous research showed clearly that there is an increasing number of individuals who rely heavily on social media platforms for gathering information and gaining knowledge about various issues. The current research tries to show the impact of these platforms on citizens’—as individuals—attitudes and behaviours to support tourism activities. Specifically, the current study examines three research objectives: (1) The impact of social media marketing activities on pro-tourism behaviours. (2) The impact of social media marketing activities on both destination attractiveness and attitude towards the positive impacts of tourism. (3) The mediation role of destination attractiveness and attitude towards the positive impacts of tourism in the relationships between social media marketing activities and pro-tourism behaviours. We adapted the theory of uses and gratifications and the stimulus-organism-response framework in the current research, where social media marketing drives pro-tourism behaviours indirectly through both destination attractiveness and attitude towards the positive impacts of tourism. A survey of 200 Albaha residents was conducted. We have used AMOS to check the constructs’ validity and reliability and Hayes’s PROCESS macro to test the mediation. The findings show that (1) Social media marketing activities help in explaining why city citizens positively behave towards tourism activities in their city; (2) Sequentially both destination attractiveness and attitude towards the positive impacts of tourism partially mediate the relationships between social media marketing and pro-tourism behaviours. The current study contributes to the existing research through the elucidation of why residents behave to support tourism in their countries by using social media marketing activities. In addition, it adds a number of professional insights. For example, the admins of destination social media platforms should increase their efforts towards providing presence, conversation, interactivity, and sharing on these platforms.

Introduction

The pandemic has significantly impacted global economies, e.g. [ 1 ]. The tourism sector has become highly sensitive to the impact of this pandemic [ 2 , 3 , 4 ]. In other words, COVID-19 is widely recognised as a challenge or even a game-changer for travel and tourism [ 5 ]. The negative effects of the pandemic are obvious, but keywords with high relevance such as “sustainable tourism” represent the new development direction of tourism [ 2 ]. Residents are considered a proactive stakeholder group to co-create tourism products and services [ 6 ]. Pro-tourism behaviour is one of the key constructs related to the residents. It represents a behavioural dimension of resident attitudes towards tourism development [ 7 ]. Residents’ pro-tourism behavioural intention plays an important role in determining the sustainability or even success of a tourist destination [ 8 ]. Although understanding resident pro-tourism behaviour is critical, it is still a new research area [ 7 ].

The Internet, as a dynamic technology, is constantly evolving as users adopt and reject new features, devices, and applications and use them in ways that are often unexpected [ 9 ]. It promises broad-based changes to individuals and organisations that are profound to warrant the title of revolution [ 10 ]. The Internet is an easy and convenient way to communicate socially [ 11 ]. In other words, through the internet, information sharing and communication have become easier [ 10 ]. Electronic mail, commonly known as e-mail, is one of the most popular features of the Internet [ 12 ]. Besides, the dropping cost of communication has led to increased traffic and greater information access [ 10 ]. The Internet is central to the new media [ 9 ]. It has become recognised as a global channel where consumers can be targeted, and entities can both advertise and present commercial offerings [ 13 ].

Social media has recently been a highly impactful channel of communication in the modern times of digitised living [ 14 ]. Social media channels are vital in the contemporary period of time and have a substantial influence on the attitudes, behavioural intentions, and actual behaviour of tourists [ 15 , 16 , 17 ]. For most firms, social media alters the ways of communicating with partners significantly [ 18 ]. Social media marketing is an essential part of twenty-first century business [ 19 ]. The media has changed the market dynamics and endangered the brands’ competitive positions. Brands have increasingly adopted social media for various marketing activities such as branding, customer relationship management, service provision, and sales promotion [ 20 ].

Digital marketing is very helpful in promoting tourism destinations, for example, digital marketing using social media [ 21 ]. The previous work highlighted the importance of social media and digital data in understanding the dynamics of tourism [ 22 , 23 , 24 ]. Social media is a widely used technology platform for sharing tourism information and experience, which motivates us to explore social media engagement more [ 25 ]. In other words, the pervasive impact of social media provides new opportunities to study residents’ attitudes to tourism since residents express their opinions and read about tourism development on social media [ 26 ]. The exchange of social media-based information for citizens and tourists is part of the practice-based solution for better sustainable tourism planning [ 27 ]. Although there has been a phenomenal growth in social media studies, that is not a new research topic [ 28 , 29 ], the previous research on social media marketing has little attention particularly related to pro-tourism [ 19 , 29 , 30 , 31 ]. In other words, despite the massive popularity of social media, research with a set of driving constructs along with indicators of social media regarding the changing attitudes and behaviours are lacking in the literature [ 15 , 16 ]. Few studies have been conducted to examine the use of social media by marketers, particularly in eastern countries such as Saudi Arabia [ 29 ]. In other words, although the use of social media has gained increasing importance as a component of brands’ portfolio strategies, scant research has systematically consolidated and extended knowledge on social media marketing strategies [ 43 ]. Specifically, whereas there has been an increasing academic interest related to social media in tourism, the existing literature is still in its infancy [ 32 , 33 , 34 ]. Little attention has been paid to the perceptions of social media from tourism providers’ perspectives, as most studies have addressed social media from a traveler’s point of view [ 32 , 35 ].

Preceding research proposed that destination attractiveness is one of the important determinant factors that could enhance tourism, particularly destination loyalty [ 36 ]. Besides, research on resident attitudes of tourism has become one of the most important areas of tourism [ 37 ]. In other words, since tourists significantly vary from residents in a demographic sense, the contact between them can subsequently shape residents’ behaviours and attitudes [ 38 ]. Despite the importance of residents’ attitude towards tourism impacts and development [ 39 ], little attention has been gained to examining residents’ attitudes in developing countries, especially at the inception stages when the support and involvement of the local community is vital to the success of tourism development efforts [ 40 ]. Attitudes towards tourism and support for tourism development have been prioritised “outcomes” in the tourism impacts literature [ 41 ]. Although satisfactory attention has been paid to residents' attitudes to tourism in previous studies, few research has used residents' attitudes to tourists and tourism simultaneously to explain their support for tourism [ 42 ].

To contribute to filling these research gaps, our research question is to what extent social media marketing activities motivate destination residents to positively (1) perceive high attractive destination, (2) form attitude towards the impacts of tourism, and (3) behave towards the destination tourism (pro-tourism behaviours). Thus, the current study examines the relationships between social media marketing activities and pro-tourism behaviours. It also examines the relationships between social media marketing activities and both destination attractiveness and attitude towards the positive impacts of tourism. Finally, it examines the mediation role of destination attractiveness and attitude towards the positive impacts of tourism in the relationships between social media marketing activities and pro-tourism behaviours.

The current study contributes to the existing research in different main ways: First, it elucidates why residents behave to support tourism in their countries by using social media marketing activities. The results fill research gaps, particularly in eastern countries such as Saudi Arabia [ 15 , 29 , 32 , 43 ]. In addition, it contributes to the literature by revealing the vital role of social media marketing activities in interpreting residents’ pro-tourism behaviours. Residents with high levels of social media participation about their cities/ destinations do more pro-tourism behaviours. Second, although considerable research has demonstrated the relationships between destination attractiveness and attitude, their roles in building pro-tourism behaviours are still limited [ 42 ]. This study adds to the emerging literature by demonstrating that attitude towards the positive impacts of tourism directly increases pro-tourism behaviours. A number of professional insights can be drawn based on this study's findings, which will advise marketers of social marketing platforms about the factors that improve residents’ pro-tourism behaviours. For example, as social media marketing activities facilitate effective ways of communicating with partners [ 19 ], the admins of social media platforms should increase their efforts towards providing presence, conversation, interactivity, and sharing on these platforms. Admins should improve these functions to enhance the perceived destination attractiveness and attitude towards the positive impacts of tourism and boost the pro-tourism behaviours. This may be possible by designing platforms such as Instagram and Facebook pages that deliver and focus on updated information about the sites and locations to enhance the residents’ preferences. The admins of these platforms should also focus on improving conversation functionality by replying to the comments of the fans on their Facebook and/or Instagram page(s). This means that the interactivity level on these platforms is high. Besides, using advanced technology, historical browsing behaviours can be adapted by organising the page’s content from a residents’ perspective to enable reading, commenting, and following the discussions on particular subjects of interest.

Theoretical background

The conceptual framework (Fig.  1 ) explicates potential antecedents of pro-tourism behaviours. The framework draws on theory of uses and gratifications theory [ 44 ]. Based on the theory, the individuals are actively and selectively involved in media (e.g. social media) usage to satisfy their psychological and social needs (e.g. perceived attractiveness and attitudes). In addition, the current conceptual framework is also based on the stimulus-organism-response (S–O–R) model proposed by Mehrabian and Russell [ 45 ]. The S–O–R model has been extensively employed in tourism [ 46 , 47 ]. It posits that environmental stimulus, such as joining social media platforms (S), elicits an emotional and attitudinal reactions (such as perceived destination attractiveness and attitude towards the positive impacts of tourism) from an organism (O), and these reactions trigger the corresponding behaviour response (R) such as pro-tourism behaviours. Whereby organism refers to the internal processes and outcomes of the stimulus, it normally plays a mediating role between stimulus and responses, e.g. [ 48 ]. Thus, the model hypothesises that social media marketing activities influence pro-tourism behaviours directly and indirectly through destination attractiveness and attitude towards the positive impacts of tourism.

figure 1

Research framework

  • Social media marketing

Social media refers to web-based applications that are used as a source of social interaction, collaboration, and creative expression [ 28 , 49 , 50 ]. The rise of social media has essentially altered the tourism industry, permitting both tourists and tourism providers to become the “media” themselves for communicating, collaborating, and sharing tourism-related information in the form of photos, videos, and stories [ 32 ]. The media gives brands a better platform to promote and build strong relationships with their consumers [ 29 , 51 ].

Social media marketing scope represents a range from defenders to explorers [ 19 ]. It refers to “the utilisation of social media technologies, channels, and software to create, communicate, deliver, and exchange offerings that have value for an organisation’s stakeholders” [ 52 ], p 19. Social media marketing also helps brands in improving their business activities and inducing them to invest more in digital marketing [ 53 ]. Previous studies developed models that are considered as important frameworks to help in understanding social media platforms [ 54 ]. Social media can be examined as a type of persuasion tool [ 18 ]. According to Khan and Jan’s [ 54 ] study, social media plays critical roles or functions such as identity, conversations, sharing, presence, relationships, reputation, and groups functions that help in developing social media user experience. Presence functionality represents the extent to which the user knows the others are present. Sharing functionality represents the extent to which the user exchanges, distributes, and receives content. Identity functionality shows the extent to which the user reveals themselves.

  • Destination attractiveness

Destination attractiveness reflects the excellences, feelings, beliefs, and sentiments of individuals (such as tourists) on the destination [ 55 ]. It refers to travelers’ perceptions about a destination and its aptitude to satisfy their needs and wants [ 56 ]. Destination attractiveness perceptions might be differed from one visitor to another and the purpose of the visit [ 57 ]. For instance, a destination might appeal to a visitor considering a honeymoon, nonetheless not appeal to their family summer holiday. However, the current research examines destination attractiveness from the residents’ perspective. Social media platforms have a significant impact on destination attractiveness [ 58 , 59 ]. Social media enhances the perceived attractiveness of decision markers [ 60 ]. Previous research confirmed that social media content is an influential factor in determining destination attractiveness [ 18 ]. The large information available on platforms can contribute to destination attractiveness [ 61 ]. Thus,

Social media marketing positively influences destination attractiveness.

  • Attitude to the positive impacts of tourism

Attitudes of residents towards tourism development and its influences aid as critically significant inputs in identifying the strategic and managerial priorities of tourism [ 62 ]. In other words, understanding resident attitudes towards tourism development allows government and practitioners to design favourable strategies for community development [ 63 ]. For example, when residents have strong positive attitudes towards tourism, it is likely that they are willing to co-create value with the visitors [ 64 ]. Attitudes towards tourism held by residents are influenced by a variety of individual and community or societal level factors [ 62 ]. Social media has increasing influences over public opinions [ 65 ]. Social media content can generate positive or negative attitudes of the destination [ 15 , 18 ]. The intangible benefits gained through interactions on social networking sites influence consumers’ attitudes towards those sites [ 66 ]. Thus,

Social media marketing positively influences attitude to the positive impacts of tourism.

  • Pro-tourism behaviours

Residents provide pro-tourism behaviours when they perceive that benefits are more than the costs [ 66 ]. Pro-tourism behaviours include participation in tourism development or recommendation and revisit intentions [ 67 ]. Social influences such as the destruction of living standards and conflict between residents had a significant influence on the support of tourism development of residents [ 66 ]. Social media enables interactive connections and collaborations with other stakeholders in the community such as destination residents [ 61 ]. The contribution of users to objects (e.g. tourism destinations) on social media platforms is described by the dimension of interaction [ 68 ]. In the context of tourism, they influence the behaviour of tourists and lead to choosing certain brand(s) and destinations and making travel-related decisions. A tourist information search has a strong impact on behavioural intention rather than the actual behaviour [ 16 ]. Thus,

Social media marketing positively influences pro-tourism behaviours.

Destination attractiveness plays a key factor in destination competitiveness and success [ 69 ]. Destination attractiveness has an impact on tourists' attitude [ 56 ]. The preceding studies show that residents’ perception of destination attractiveness is a key factor in understanding their behaviour towards tourism development [ 70 ]. Destination attractiveness has an impact on tourism development support of local people [ 66 ]. In other words, residents who have a positive perceived destination attractiveness possess pro-tourism behaviour [ 70 ]. Hence,

Destination attractiveness positively influences a) attitude to the positive impacts of tourism and b) pro-tourism behaviours.

The attitude of community stakeholders such as local people or residents is very important for sustainable tourism development [ 66 ]. Residents’ attitudes impact their support for tourism development. In other words, the positive attitudes lead to pro-tourism development behaviours [ 71 , 72 ]. Previous research showed the significant and strong direct effect of attitude towards tourism on support for tourism development [ 39 ]. Positive resident attitudes encourage a more welcoming and friendly destination [ 73 ]. Moreover, resident attitudes have the power to impact resident behaviour towards tourists, which affects tourism planning and development as well as a destination’s success or failure [ 42 , 74 ]. Thus,

Attitude to the positive impacts of tourism positively influences pro-tourism behaviours.

The mediating effect of destination attractiveness and attitude to the positive impacts of tourism

According to the S–O–R paradigm, social media marketing activities can thus be treated as a social stimulus. Destination attractiveness and attitude to the positive impacts of tourism are deemed to be the emotional and attitudinal reactions of the organism and pro-tourism behaviours. They are regarded as the behavioural response of the organism. In addition, whereby organism refers to the internal processes and outcomes of the stimulus, it normally plays a mediating role between stimulus and responses, e.g. [ 48 ]. In other words, since the S–O–R model suggests that the effects of stimuli on an individual’s response would be mediated by individual’s internal state, e.g. [ 76 ], we include destination attractiveness and attitude to the positive impacts of tourism as the mediators in the current study. Preceding research has shown that social media marketing activities positively affected perceived attractiveness [ 18 ] and attitude to the positive impacts of tourism [ 65 ], destination attractiveness positively impacted pro-tourism behaviours [ 70 ], and attitude to the positive impacts of tourism positively impacted pro-tourism behaviours [ 39 ]. Furthermore, destination attitude mediated the relationship between destination attractiveness and destination attachment [ 56 ]. Destination attractiveness and attitude to the positive impacts of tourism may therefore play a mediating role between social media marketing activities and pro-tourism behaviours. Thus,

Destination attractiveness mediates the relationship between social media activities and pro-tourism behaviours.

Attitude to the positive impacts of tourism mediates the relationship between social media activities and pro-tourism behaviours.

Destination attractiveness and attitude to the positive impacts of tourism mediate the relationship between social media activities and pro-tourism behaviours.

Methodology

We chose the quantitative approach to test the effects between the constructs under investigation. We used the questionnaire to collect the data. Before collecting the actual data, we conducted a pre-test study to make sure that all items are understandable and reflect the constructs under investigation.

Pre-test study

We recruited a professional translator to take part in this process and guarantee the reliability of the translated version [ 76 ]. We also chose two marketing professors and ten students to review the questionnaire and evaluate its face and content validity, resulting in minimal design and wording changes. Some examples were added to some scale items to improve these items’ clarity.

Sampling and actual data collection

The research population includes all the residents who live in Albaha City in Saudi Arabia. Since it was difficult to get a frame, a convenience non-probability sample was chosen for this study [ 77 ]. Two hundred fourteen completed questionnaires were collected between July–September 2021. The questionnaires have been collected online via a link, which was sent to people who live there. Fourteen questionnaires were dropped as the trapped questions were wrongly answered. The sample size is still acceptable since previous research used similar size in their studies and some of them stated that a sample size between 200 and 300 is recommended to produce sophisticated results and improve credibility and generalisability, e.g. [ 78 , 79 , 80 ]. The questionnaire starts with socio-demographic information. Table 1 shows the sample characteristics. Among the sample participants: 84% were male and 16% were female, 71% were younger than 30 years old, 19% were 30 to 39, 6%were 40 to 49, and 4% were older than 50 years. Afterwards, the survey adopted existing scales for the variables selected from the current literature.

Research context

The tourism context was chosen as the current research is part of a funded project to investigate how to enhance the tourism activities in Saudi Arabia, particularly Albaha destination. Tourism has become a strategic sector that contributes to the country developments. However, the country must exert great effort as tourism destinations have increasingly become competitive all over the world due to the diverse options the tourists have for travel. King Salman has developed a 2030 vision to make Saudi Arabia Kingdom a successful and pioneering model in the world at all levels/ sectors. One of these sectors is tourism. The current research is conducted to support achieving the vision’s goals. The current research will be applied on Albaha destination as an area of the Saudi Arabia Kingdom.

Construct measures

Social media marketing scale comprises seven dimensions, namely, identity functionality (3 items), conversation functionality (3 items), sharing functionality (4 items), presence functionality (3items), reputation functionality (3items), relationships functionality (3 items), and groups functionality (3 items) [ 54 ]. The destination attractiveness scale includes 9 items proposed by Hu and Ritchie [ 55 ], and Thach and Axinn (1994), cited in [ 81 ]. Attitude to the positive impacts of tourism and pro-tourism behaviours includes 8 and 5 items, respectively [ 82 ].

Data analysis and results

Instrument validation.

Table 2 shows the standard deviations and means of each construct. It also shows Cronbach’s alphas for all research constructs, which were greater than the recommended value (0.7) [ 83 ]. The variables were also evaluated for convergent and discriminant validity through the Confirmatory Factor Analysis (CFA) using AMOS [ 84 , 85 ]. As shown in Table 2 for the remaining items, the unidimensionality of each construct and the measurement model was checked, based on Janssens et al.’s study [ 23 ]. It had a good fit ( X 2 (217) = 297.81 p  = 0.000; GFI = 0.89; NFI = 0.895; CFI = 0.968; TLI = 0.96; RMSEA = 0.043; SRMR = 0.0423). Based on Fornell and Larcker’s [ 77 ] and Janssens et al.’s [ 87 ] studies, four criteria were used to evaluate the convergent validity of constructs’ items. All factor loadings’ estimates of the remaining items were above 0.5 (loadings ranged from 0.631 to 0.909). All of t -values > 1.96 (loadings ranged from 6.545 to 16.741 ( p  < 0. 001)), as shown in Table 2 . As Table 2 also indicates, all composite reliability (CRs) were above the recommended level of 0.7 except for the relationships functionality construct. However, it was very close (0.68) to the accepted level. All amount of variance (AVE) estimates were above the recommended level of 0.5, except for attitude to the positive impacts of tourism and pro-tourism behaviours constructs. However, they were very close (0.498 and 0.468, respectively) to the accepted level. All four criteria provided support of the constructs’ convergent validity. Discriminant validity was also evaluated. All square roots of AVE estimates on the diagonal were greater than the construct correlations with another factor, as shown in Table 3 . It provides evidence of discriminant validity for all research constructs.

Direct effect

Direct effect of social media marketing construct.

Empirical results in Table 4 show that while social media marketing construct influences destination attractiveness ( β  = 0.979, p  < 0.001) and pro-tourism behaviours ( β  = 0.287, p  < 0.01), it does not influence the attitude to the positive impacts of tourism ( β  = 0.139, p  > 0.05). Thus, hypotheses 1 and 3 are supported and hypothesis 2 is not supported.

Direct effect of destination attractiveness construct

Empirical results (as shown in Table 4 ) show that destination attractiveness influences the attitude to the positive impacts of tourism ( β  = 0.211, p  < 0.01). However, it does not influence pro-tourism behaviours ( β  = 0.061, p  > 0.05). These results provide support for hypothesis 4a that destination attractiveness enhances the attitude to the positive impacts of tourism but does not directly enhance the pro-tourism behaviours (hypothesis 4b is not supported).

Direct effect of the attitude to the positive impacts of tourism

Empirical results (as shown in Table 4 ) show that attitude to the positive impacts of tourism influences the pro-tourism behaviours, ( β  = 0.199, p  < 0.01). These results provide support for hypothesis 5 that the attitude to the positive impacts of tourism enhances the pro-tourism behaviours.

Indirect effect

The current research includes three mediating hypotheses (H6a, H6b, and H6c). To test the mediation, we followed Hayes’s PROCESS macro (Model 6) instructions [ 88 ]. Table 5 shows the statistical significance of the direct and indirect effects. The results were produced with the bootstrap procedure (5000 bootstraps) and the confidence interval (95%). For hypotheses 6a, and b, (as shown in Table 5 ), the bootstrap procedure generated (− 0.215 and 0.073), and (− 0.006 and 0.095), respectively, included (zero) for the indirect effect of (H6a) social media marketing activities on pro-tourism behaviours through destination attractiveness, and (H6b) social media marketing activities on pro-tourism behaviours through attitude to the positive impacts of tourism. Thus, both hypotheses are not supported. However, for hypothesis 6c, (as shown in Table 5 ), the bootstrap procedure generated did not include zero for the indirect effect of social media marketing activities on pro-tourism behaviours through destination attractiveness and attitude to the positive impacts of tourism (0.006 and 0.085). After taking both destination attractiveness and attitude to the positive impacts of tourism into account, the direct relationship between social media marketing activities and pro-tourism behaviours still became significant; the bootstrap procedure generated (0.164 and 0.427) did not include zero, showing partial mediation existence. Thus, hypothesis 6c is supported.

This research shows that social media marketing activities enhance destination attractiveness, ultimately leading to attitude to the positive impacts of tourism and pro-tourism behaviours, as shown in Fig.  2 .

figure 2

The direct and indirect effect results

The results indicate that social media marketing plays a positively significant role in influencing destination attractiveness. However, social media marketing does not play a direct significant role in shaping the residents’ attitudes to the positive impacts of tourism. These results are in line with preceding research that confirmed that social media platforms have a significant impact on perceived destination attractiveness [ 58 ]. In other words, social media content is an influential factor in determining destination attractiveness [ 18 ]. The large information available on platforms can contribute to destination attractiveness [ 61 ]. The results also show that social media marketing activities play an important role in improving pro-tourism behaviours. These results are consistent with previous studies [e.g. 30], which indicated that residents’ social media use is positively related to their support for tourism. In a similar vein, this is consistent with previous research [e.g., 60] that confirmed that social media enhances decision makers’ behaviours. Social influences such as destruction of living standards and conflict between residents had a significant influence on the support of tourism development of residents [ 66 ].

The direct influence of destination attractiveness on attitude to the positive impacts of tourism is confirmed. When residents perceive their communities or cities as attractive, they are more likely to create a positive attitude to the positive impacts of tourism. This result is in line with previous research [ 56 ]. Besides, the direct influence of attitude to the positive impacts of tourism on pro-tourism behaviours is also confirmed. This result is in line with previous research [ 30 , 39 , 72 ]. However, the direct influence of destination attractiveness on pro-tourism behaviours is not confirmed.

We also intended to extend the understanding of the mediating role of destination attractiveness and attitude to the positive impacts of tourism in satisfying the relationships between social media marketing activities and pro-tourism behaviours. The results show partial mediation existence of both destination attractiveness and attitude to the positive impacts of tourism in the influence of social media marketing activities on pro-tourism behaviours. This means that pro-tourism behaviours might happen due to social media marketing activities, not necessarily destination attractiveness or attitude to the positive impacts of tourism. However, the indirect impact of social media marketing on pro-tourism behaviours should be through both destination attractiveness and attitude to the positive impacts of tourism, respectively.

Conclusions

The current study examines the relationships between social media marketing activities and pro-tourism behaviours. It also examines the relationships between social media marketing activities and both destination attractiveness and attitude towards the positive impacts of tourism. Finally, it examines the mediation role of destination attractiveness and attitude towards the positive impacts of tourism in the relationships between social media marketing activities and pro-tourism behaviours. This study contributes to the marketing literature and provides practical implications. The following sections highlight these contributions and implications.

Theoretical contributions

The current research advances the insights of tourism developments in different ways. First, on contrary to previous research that focused on tourists’ perspective, the current study contributes to residents’ behaviour to support tourism in their countries by using social media marketing activities from the resident’s perspective. The results fill the research gap that previous research showed that social media marketing has little attention media in tourism [ 32 , 33 ], particularly in eastern countries such as Saudi Arabia [ 15 , 19 , 29 , 43 ]. It also contributes to the literature by revealing the vital role of social media marketing activities in interpreting residents’ pro-tourism behaviours. Residents with high levels of social media participation about their cities/ destinations do more pro-tourism behaviours.

Second, preceding studies revealed the lack of knowledge in showing the relationships between destination attractiveness and attitude and their roles in building pro-tourism behaviours, [ 42 ]. This study adds to the emerging literature by demonstrating that attitude towards the positive impacts of tourism directly increases pro-tourism behaviours. Investigating these relationships shed light on how to shape the residents’ pro-tourism behaviours through destination attractiveness and attitude to the positive impacts of tourism. The results underline the importance of social media marketing activities as effective antecedents that enhance residents’ perceived destination attractiveness and improve their attitudes to the positive impacts of tourism. Thus, this research supplements preceding studies on enhancing residents’ perceived destination attractiveness and improving their attitudes to the positive impacts of tourism by introducing social media marketing activities as drivers of them. Third, this study is the first to investigate the mediating role of destination attractiveness and attitude towards the positive impacts of tourism in the linkage between social media marketing activities and pro-tourism behaviours. These mediators enhance the understanding of tourism development [ 41 , 67 ].

Practical implications

A number of practical implications are raised based on the current research findings, which guide marketers about social marketing platform-related factors that improve residents’ pro-tourism behaviours. First, as social media marketing activities facilitate effective ways of communicating with partners [ 19 ], the admins of social media platforms should increase their efforts towards providing presence, conversation, interactivity, and sharing on these platforms. Admins should improve these functions to enhance the perceived destination attractiveness and attitude towards the positive impacts of tourism and boost pro-tourism behaviours. This may be possible by designing platforms such as Instagram and Facebook pages that deliver and focus on updated information about sites and locations to enhance the residents’ preferences. The admins of these platforms should also focus on improving conversation functionality by replying to the comments of the fans on their Facebook and/or Instagram page(s). This means that the interactivity level on these platforms is high. Besides, using advanced technology, historical browsing behaviours can be adapted by organising the page’s content from a residents’ perspective to enable reading, commenting, and following the discussions on particular subjects of interest. Admins of social media platforms can also invite social media influencers on these pages or channels to interact with the residents and enhance their perceived attractiveness about the destinations they belong to. In addition, as social media use was found to influence residents’ support for tourism, it sheds new light on the significance of using social media to improve residents’ levels of support for tourism. For instance, relevant institutions and management of the destinations should create official accounts on popular social media platforms (such as Facebook, Twitter, Instagram and WhatsApp). They should provide updated information every day on new news regarding that destination(s).

Second, according to our findings, the admins of social media platforms are advised to advance strategic and tactical initiatives that inspire and reinforce the attitude towards the positive impacts of tourism. This may demand that the admins employ relationship activities to improve residents’ interaction on social media platforms such as online communities [ 20 ]. Our findings show that social media marketing activities that residents receive play a critical role in enhancing residents’ perceived attractiveness about the destination and creating the attitude towards the positive impacts of tourism. Thus, admins are advised to post valuable content that emphasises destination values to enhance residents’ attitudes towards the positive impacts of tourism.

Third, the results provide a base on which admins can improve residents’ perceived attractiveness and attitudes and thus, develop the likelihood of experiencing pro-tourism behaviours from destination’s residents. Admins should explore how to build the greatest possible residents’ perceived attractiveness and attitude towards the positive impacts of tourism with the destination. To enhance the resident’s attitudes, for example, the government and institutions should adopt a benefit-sharing system and provide more job opportunities to the destination residents in order to ensure their appropriate rights and interests. In addition, Marketing should emphasise on activities linked with high conversation, interactivity, sharing, and relations that could build a highly perceived attractiveness and attitude towards the positive impacts of tourism on residents. For example, developing precise and pertinent content on social media platforms of the destination (e.g. sharing information about the new touristic activities of the destination; providing information of any enhancements of current services, activities, or promotion activities). Finally, the government and tourism institutions should allow residents to participate in decision-making processes connected to tourism planning and even serve as the main management personnel of the destination tourism corporate [ 30 ].

Limitations and future research

The current study reports essential antecedents of having residents who support tourism in their countries, though numerous limits exist. First, while the selected research approach to examine the hypotheses supports achieving the research objectives, different approaches and/or methods such as the experimental approach would improve the results' validity. Furthermore, although the use of point-in-time snapshot data is crucial in considering directional relations between the study constructs, they do not allow for causal explanations that could be recognised through using the longitudinal design (whether over short or long periods of time). Second, we selected tourism to represent the research context in general. However, the findings might deliver a confounded explanation since the tourism sector reflects diverse tourism categories such as domestic tourism, international tourism, business tourism, adventure tourism, wildlife tourism, medical tourism, and wellness tourism. Thus, the research could employ specific types or conduct comparative research to show the differences. Assessing residents' attitudes and behaviours towards tourism types could be insightful. Finally, further study would examine the impact of advanced technological tools such as artificial intelligence (AI) and generative tools in enhancing the interactions between residents and tourists on the destination’s social media platforms.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.

Abbreviations

Stimulus–organism–response

Confirmatory factor analysis

Amount of variance

Composite reliability

Wang Q, Zhang F (2021) What does the China’s economic recovery after COVID-19 pandemic mean for the economic growth and energy consumption of other countries? J Clean Prod 295:126265

Article   Google Scholar  

Wang Q, Huang R (2021) The impact of COVID-19 pandemic on sustainable development goals–a survey. Environ Res 202:111637

Bhatia A, Roy B, Kumar A (2022) A review of tourism sustainability in the era of Covid-19. J Stat Manag Syst 25(8):1871–1888

Google Scholar  

Chang CL, McAleer M, Ramos V (2020) A charter for sustainable tourism after COVID-19. Sustainability 12(9):3671

Higgins-Desbiolles F (2020) The “war over tourism”: challenges to sustainable tourism in the tourism academy after COVID-19. J Sustain Tour 29(4):551–569

Erul E, Woosnam KM, Ribeiro MA, Salazar J (2020) Complementing theories to explain emotional solidarity. J Sustain Tour. https://doi.org/10.1080/09669582.2020.1800718

Liu J, Lin H, Hu B, Zhou Z, Agyeiwaah E, Xu Y (2022) Advancing the understanding of the resident pro-tourism behavior scale: an integration of item response theory and classical test theory. J Bus Res 141:113–125

Shen K, Geng C, Su X (2019) Antecedents of residents’ pro-tourism behavioral intention: place image, place attachment, and attitude. Front Psychol 10:2349

Dutton WH, Blank G (2014) The emergence of next-generation internet users. IEEP 11:29–47

Feldman MP (2002) The Internet revolution and the geography of innovation. Int Soc Sci J 54(171):47–56

Jones S (2008) Internet goes to college: how students are living in the future with today’s technology. Diane Publishing, USA

Hillstrom K (2005) The internet revolution. Omnigraphics, Detroit

Giovannetti E, Kagami M, Tsuji M (2003) The internet revolution: a global perspective Cambridge University Press (Vol 66)

Dwivedi Y, Kapoor K, Chen H (2015) Social media marketing and advertising. Mark Rev 15(3):289–309

Alansari MT, Velikova N, Jai TMC (2018) Marketing effectiveness of hotel Twitter accounts: the case of Saudi Arabia. J Hosp Tour Technol 9(1):65–79

Javed M, Tučková Z, Jibril AB (2020) The role of social media on tourists’ behavior: An empirical analysis of millennials from the Czech Republic. Sustainability 12(18):7735

Rather RA (2021) Monitoring the impacts of tourism-based social media, risk perception and fear on tourist’s attitude and revisiting behaviour in the wake of COVID-19 pandemic. Curr Issue Tour 24(23):3275–3283

Shu M, Scott N (2014) Influence of social media on Chinese students’ choice of an overseas study destination: an information adoption model perspective. J Travel Tour Mark 31(2):286–302

Felix R, Rauschnabel P, Hinsch C (2017) Elements of strategic social media marketing: a holistic framework. J Bus Res 70:118–126

Elsharnouby M, Mohsen J, Saeed O, Mahrous A (2021) Enhancing resilience to negative information in consumer-brand interaction: the mediating role of brand knowledge and involvement. J Res Interact Mark 16(3):329–345

Hartanto Y, Firmansyah MA, & Adhrianti L (2022) Implementation digital marketing pesona 88 curup in to build image for the decision of visit tourist attraction. In: 4th social and humanities research symposium (SoRes 2021) (pp 589–594). Atlantis Press

Giglio S, Bertacchini F, Bilotta E, Pantano P (2019) Using social media to identify tourism attractiveness in six Italian cities. Tour Manage 72:306–312

Peco-Torres F, Polo-Pena AI, Frias-Jamilena DM (2021) Brand personality in cultural tourism through social media. Tour Rev 76(1):164–183

Joo Y, Seok H, Nam Y (2020) The moderating effect of social media use on sustainable rural tourism: a theory of planned behavior model. Sustainability 12(10):4095

Paul I, Roy G (2023) Tourist’s engagement in eco-tourism: a review and research agenda. J Hosp Tour Manag 54:316–328

Nunkoo R, Gursoy D, Dwivedi YK (2023) Effects of social media on residents’ attitudes to tourism: conceptual framework and research propositions. J Sustain Tour 31(2):350–366

Vu H, Muskat B, Li G, Law R (2020) Improving the resident–tourist relationship in urban hotspots. J Sustain Tour 29(4):595–615

Al-Qaysi N, Mohamad-Nordin N, Al-Emran M (2020) A systematic review of social media acceptance from the perspective of educational and information systems theories and models. J Edu Comput Res 57(8):2085–2109

Sohail M, Hasan M, Sohail AF (2020) The impact of social media marketing on brand trust and brand loyalty: an Arab perspective. Int J Online Mark 10(1):15–31

Shen K, Yang J (2022) Residents’ support for Tourism Amidst the COVID-19 Era: an application of social amplification of risk framework and knowledge, attitudes, and practices theory. Int J Environ Res Public Health 19(6):3736

Ketter E, Avraham E (2021) # StayHome today so we can# TravelTomorrow: tourism destinations’ digital marketing strategies during the Covid-19 pandemic. J Travel Tour Mark 38(8):819–832

Canovi M, Pucciarelli F (2019) Social media marketing in wine tourism: winery owners’ perceptions. J Travel Tour Mark 36(6):653–664

Hudson S, Roth M, Madden T, Hudson R (2015) The effects of social media on emotions, brand relationship quality, and word of mouth: an empirical study of music festival attendees. Tour Manag 47:68–76

Nusair K (2020) Developing a comprehensive life cycle framework for social media research in hospitality and tourism: a bibliometric method 2002–2018. Int J Contemp Hosp Manag 32(3):1041–1066

Lu Y, Chen Z, Law R (2018) Mapping the progress of social media research in hospitality and tourism management from 2004 to 2014. J Travel Tour Mark 35(2):102–118

Nasira M, Mohamada M, Ab Ghania N, Afthanorhana A (2020) Testing mediation roles of place attachment and tourist satisfaction on destination attractiveness and destination loyalty relationship using phantom approach. Manag Sci Lett 10:443–454

McGehee N, Andereck K (2004) Factors predicting rural residents’ support of tourism. J Travel Res 43(2):131–140

Ward C, Berno T (2011) Beyond social exchange theory: attitudes toward tourists. Ann Tour Res 38(4):1556–1569

Gannon M, Rasoolimanesh S, Taheri B (2021) Assessing the mediating role of residents’ perceptions toward tourism development. J Travel Res 60(1):149–171

Teye V, Sirakaya E, Sönmez SF (2002) Residents’ attitudes toward tourism development. Ann Tour Res 29(3):668–688

Jordan E, Spencer D, Prayag G (2019) Tourism impacts, emotions, and stress. Ann Tour Res 75:213–226

Shen K, Yang J, Geng C (2021) How residents’ attitudes to tourists and tourism affect their pro-tourism behaviours: the moderating role of Chinese traditionality. Front Psychol 12:792324

Li F, Larimo J, Leonidou L (2021) Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda. J Acad Mark Sci 49(1):51–70

Katz E, Gurevitch M, Haas H (1973) On the use of mass media for important things. Am Sociol Rev 38:164–181

Mehrabian A, Russell J (1974) An approach to environmental psychology. The MIT Press

Rodríguez-Torrico P, Prodanova J, San-Martín S, Jimenez N (2020) The ideal companion: the role of mobile phone attachment in travel purchase intention. Curr Issue Tour 23(13):1659–1672

Yin J, Cheng Y, Bi Y, Ni Y (2020) Tourists perceived crowding and destination attractiveness: the moderating effects of perceived risk and experience quality. J Destin Mark Manag 18:100489

Emir A, Halim H, Hedre A, Abdullah D, Azmi A, Kamal SBM (2016) Factors influencing online hotel booking intention: a conceptual framework from stimulus-organism-response perspective. Int Acad Res J Bus Technol 2(2):129–134

Dabbagh N, Reo, R (2010) Back to the future: tracing the roots and learning. Web 2.0-based e-learning: applying social informatics for tertiary teaching. IGI Global 1.

Kaplan A, Haenlein M (2010) Users of the world, unite! The challenges and opportunities of social media. Bus Horiz 53(1):59–68

Elsharnouby MH, Jayawardhena C, Liu H, Elbedweihy AM (2022) Strengthening consumer–brand relationships through avatars. J Res Interact Mark (ahead-of-print), 1–21

Tuten T (2020) Social media marketing. Sage

Chatterjee S, Kar A (2020) Why do small and medium enterprises use social media marketing and what is the impact: empirical insights from India. Int J Inf Manag 53:102103

Khan JA (2019) A measure of social media marketing: scale development and validation. Jindal J Bus Res 8(2):158–168

Hu Y, Ritchie J (1993) Measuring destination attractiveness: a contextual approach. J Travel Res 32(2):25–34

Reitsamer B, Brunner-Sperdin A, Stokburger-Sauer N (2016) Destination attractiveness and destination attachment: the mediating role of tourists’ attitude. Tour Manag Perspect 19:93–101

Pike S, Pontes N, Kotsi F (2021) Stopover destination attractiveness: a quasi-experimental approach. J Destin Mark Manag 19:100514

Kim S, Lee K, Shin S, Yang S (2017) Effects of tourism information quality in social media on destination image formation: the case of Sina Weibo. Inform manag 54(6):687–702

Yadav M, Roychoudhury B (2019) Effect of trip mode on opinion about hotel aspects: a social media analysis approach. Int J Hosp Manag 80:155–165

Boivin M, Tanguay G (2019) Analysis of the determinants of urban tourism attractiveness: the case of Québec City and Bordeaux. J Destin Mark Manag 11:67–79

Del Vecchio P, Mele G, Ndou V, Secundo G (2018) Creating value from social big data: implications for smart tourism destinations. Inf Process Manage 54(5):847–860

Tatoglu E, Erdal F, Ozgur H, Azakli S (2002) Resident attitudes toward tourism impacts: the case of Kusadasi in Turkey. Int J Hosp Tour Adm 3(3):79–100

Murphy P, Pritchard M, Smith B (2000) The destination product and its impact on traveler perceptions. Tour Manag 21(1):43–52

Monterrubio C (2016) The impact of spring break behaviour: an integrated threat theory analysis of residents’ prejudice. Tour Manag 1(54):418–427

Fedeli G (2020) Fake news’ meets tourism: a proposed research agenda. Ann Tour Res 80:102684

Oh S, Lee S, Oh J (2018) Influence of Tourism development impact, Destination attractiveness and the support policy of tourism development on local stakeholder’s Tourism development attitudes. Int J Pure Appl Math 120(6):6159–6170

Dang L, Weiss J (2021) Evidence on the relationship between place attachment and behavioral intentions between 2010 and 2021: a systematic literature review. Sustainability 13(23):13138

Ebrahim RS (2020) The role of trust in understanding the impact of social media marketing on brand equity and brand loyalty. J Relationsh Mark 19(4):287–308

Mikulic J, Kresic D, Prebezac D et al (2016) Identifying drivers of destination attractiveness in a competitive environment: a comparison of approaches. J Destin Mark Manag 5(2):154–163

Nazneen S, Xu H, Ud DN (2021) Assessment of residents’ destination image and their pro-tourism development behaviour: perspectives on the China-Pakistan economic corridor. Tour Rev 76(1):184–197

Lee T (2013) Influence analysis of community resident support for sustainable tourism development. Tour Manag 34:37–46

Tournois L (2018) A pre-event assessment of residents’ reactions to Dubai expo 2020. Tour Manag 68:46–51

Chancellor C, Townson L, Duffy L (2021) Destination ambassador programs: building informed tourist friendly destinations. J Destin Mark Manag 21:100639

Bornhorst T, Ritchie J, Sheehan L (2010) Determinants of tourism success for DMOs and destinations: an empirical examination of stakeholders’ perspectives. Tour Manag 31(5):572–589

Yang X, Gu D, Wu J, Liang C, Ma Y, Li J (2021) Factors influencing health anxiety: the stimulus–organism–response model perspective. Internet Res 31(6):2033–2054

Mosaad M, AbouAish E, Elsharnouby MH (2022) The role of brand and fan personalities in building fan-brand relationships. Int J Cust Relationsh Mark Manag (IJCRMM) 13(1):1–21

Saunders M, Lewis P, Thornhill A (2009) Research methods for business students. Pearson, New York

Ahmed R, Philbin SP, Cheema FEA (2021) Systematic literature review of project manager’s leadership competencies. Eng Constr Archit Manag 28(1):1–30

Abdo MS, Ahmed SA, Awad BK, Elsharnouby MH (2023) Fostering green purchasing behavior: the moderated mediation role of customer disidentification. Manag Sustain Arab Rev 2(2):155–176

Novita D, Husna N (2020) The influence factors of consumer behavioral intention towards online food delivery services. TECHNOBIZ Int J Bus 3(2):40–42

Cheng T, Wu H, Huang L (2013) The influence of place attachment on the relationship between destination attractiveness and environmentally responsible behavior for island tourism in Penghu. Taiwan J Sustain Tour 21(8):1166–1187

Ribeiro M, Pinto P, Silva J, Woosnam K (2017) Residents’ attitudes and the adoption of pro-tourism behaviours: the case of developing island countries. Tour Manage 61:523–537

Nunnally J (1978) Psychometric methods. McGraw-Hill, New York

Suhr, DD (2006). Exploratory or confirmatory factor analysis? Stat Data Anal 1–17

Orçan F (2018) Exploratory and confirmatory factor analysis: which one to use first? J Measurement Evaluation Edu Psychol 9(4):414–421

Fornell C, Larcker D (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39–50

Janssens W, Wijnen K, De Pelsmacker P, Kenhove V (2008) Marketing research with SPSS. Pearson, USA

Hayes A (2017) Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. Guilford publications, New York

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Alzaydi, Z.M., Elsharnouby, M.H. Using social media marketing to pro-tourism behaviours: the mediating role of destination attractiveness and attitude towards the positive impacts of tourism. Futur Bus J 9 , 42 (2023). https://doi.org/10.1186/s43093-023-00220-5

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research paper on role of social media in promoting tourism destination

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The impact of social media marketing strategies on promoting sustainability of tourism with fuzzy cognitive mapping: a case of Kalanggaman Island (Philippines)

  • Published: 12 March 2021
  • Volume 23 , pages 14998–15030, ( 2021 )

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research paper on role of social media in promoting tourism destination

  • Kafferine Yamagishi 1 ,
  • Lanndon Ocampo   ORCID: orcid.org/0000-0002-5050-7606 2 ,
  • Dharyll Prince Abellana 2 ,
  • Reciel Ann Tanaid 3 , 4 ,
  • Ann Myril Tiu 3 , 4 ,
  • Maria Esther Medalla 4 ,
  • Egberto Selerio Jr. 2 ,
  • Chrisalyn Go 2 ,
  • Rey Cesar Olorvida 5 ,
  • Amalia Maupo 5 ,
  • Dearielyn Maskariño 5 &
  • Emilyn Tantoo 6  

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The current literature has espoused the role of social media platforms in promoting tourism destinations. Despite such advances, limited works are reported on how social media foster the sustainability of tourist destinations. This work builds upon the argument that sustainable tourism (ST) agenda and initiatives can be integrated alongside the traditional competitive mission of social media marketing as a communications strategy of tourism stakeholders. With such an argument and the scarce literature on the topic, this paper analyzes the impact of social media strategies on marketing indicators contextualized within ST. In addressing this objective, a fuzzy cognitive mapping technique is adopted to examine the changes in marketing performance indicators given an initial set of activation values of social media marketing strategies. A case study in Kalanggaman Island (Philippines), an emerging tourist destination, is carried out to demonstrate the evaluation process. Three policy scenarios with interrelated social media marketing strategies are examined: minimal effort, moving visuals, and collaborative strategies. The minimal effort scenario increases counting metrics, comments, and Web traffic, while the moving visuals scenario yields increases in reach, counting metrics, comments, and Web traffic. Finally, the collaborative strategies scenario enhances indicators on awareness, the share of voice, counting metrics, comments, and lead. The findings generated from the proposed framework provide policy- and decision-makers a platform for analyzing possible social media policies in disseminating the ST agenda.

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research paper on role of social media in promoting tourism destination

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Using social media marketing to pro-tourism behaviours: the mediating role of destination attractiveness and attitude towards the positive impacts of tourism

Agostino, D. (2013). Using social media to engage citizens: a study of Italian municipalities. Public Relations Review, 39 (3), 232–234.

Article   Google Scholar  

Aichner, T., & Jacob, F. (2015). Measuring the degree of corporate social media use. International Journal of Market Research, 57 (2), 257–276.

Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34 (7), 1177–1190.

Alves, H., Fernandes, C., & Raposo, M. (2016). Social media marketing: A literature review and implications. Psychology & Marketing, 33 (12), 1029–1038.

Appleby, R., Mackie, J., Smith, B., Bernede, L., & Jones, D. (2018). Human–dingo interactions on Fraser Island: an analysis of serious incident reports. Australian Mammalogy, 40 (2), 146–156.

Asmelash, A. G., & Kumar, S. (2019). Assessing progress of tourism sustainability: Developing and validating sustainability indicators. Tourism Management, 71, 67–83.

Berthon, P. R., Pitt, L. F., Plangger, K., & Shapiro, D. (2012). Marketing meets Web 2.0, social media, and creative consumers: Implications for international marketing strategy. Business Horizons, 55 (3), 261–271.

Blancas, F. J., González, M., Lozano-Oyola, M., & Perez, F. (2010). The assessment of sustainable tourism: Application to Spanish coastal destinations. Ecological Indicators, 10 (2), 484–492.

Bonsón, E., & Ratkai, M. (2013). A set of metrics to assess stakeholder engagement and social legitimacy on a corporate Facebook page. Online Information Review, 37 (5), 787–803.

Boon-Long, S., & Wongsurawat, W. (2015). Social media marketing evaluation using social network comments as an indicator for identifying consumer purchasing decision effectiveness. Journal of Direct, Data and Digital Marketing Practice, 17 (2), 130–149.

Bortree, D. S., & Seltzer, T. (2009). Dialogic strategies and outcomes: An analysis of environmental advocacy groups’ Facebook profiles. Public Relations Review, 35, 317–319.

Boulianne, S. (2009). Does Internet use affect engagement? A meta-analysis of research. Political Communication, 26 (2), 193–211.

Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13 (1), 210–230.

Butler, R. W. (1999). Sustainable tourism: A state-of-the-art review. Tourism Geographies, 1 (1), 7–25.

Carty, V. (2010). Wired and mobilizing: Social movements, new technology, and electoral politics . Routledge.

Book   Google Scholar  

Chalmers, A. W., & Shotton, P. A. (2015). Changing the face of advocacy? Explaining interest organizations’ use of social media strategies. Political Communication, 33 (3), 374–391.

Chan, N. L., & Guillet, B. D. (2011). Investigation of social media marketing: How does the hotel industry in Hong Kong perform in marketing on social media websites? Journal of Travel & Tourism Marketing, 28 (4), 345–368.

Chávez-Cortés, M., & Maya, J. A. A. (2010). Identifying and structuring values to guide the choice of sustainability indicators for tourism development. Sustainability, 2 (9), 3074–3099.

Cheng, M., & Edwards, D. (2015). Social media in tourism: A visual analytic approach. Current Issues in Tourism, 18 (11), 1080–1087.

Cheng, M., Wong, I. A., Wearing, S., & McDonald, M. (2017). Ecotourism social media initiatives in China. Journal of Sustainable Tourism, 25 (3), 416–432.

Davenport, T. H., & Beck, J. C. (2002). The strategy and structure of firms in the attention economy. Ivey Business Journal, 66 (4), 48–48.

Google Scholar  

Dhar, V., & Ghose, A. (2009). Sponsored search and market efficiency. Working paper . New York University.

Edgell, D. L., Sr. (Ed.). (2016). Managing sustainable tourism in the new millennium. In Managing sustainable tourism: A legacy for the future (pp. 208–226). Routledge.

Edwards, D., Cheng, M., Wong, I. A., Zhang, J., & Wu, Q. (2017). Ambassadors of knowledge sharing: Co-produced travel information through tourist-local social media exchange. International Journal of Contemporary Hospitality Management, 29 (2), 690–708.

Effing, R., & Spil, T. A. (2016). The social strategy cone: Towards a framework for evaluating social media strategies. International Journal of Information Management, 36 (1), 1–8.

Eid, R., & El-Gohary, H. (2011). The impact of e-marketing use on small business enterprises’ marketing success. The Service Industries Journal, 33 (1), 31–50.

Erdoğmuş, İE., & Cicek, M. (2012). The impact of social media marketing on brand loyalty. Procedia-Social and Behavioral Sciences, 58, 1353–1360.

Falcone, P. M. (2019). Tourism-based circular economy in Salento (South Italy): A SWOT-ANP analysis. Social Sciences, 8 (7), 216.

Falcone, P. M., & De Rosa, S. P. (2020). Use of fuzzy cognitive maps to develop policy strategies for the optimization of municipal waste management: A case study of the land of fires (Italy). Land Use Policy, 96, 104680.

Fallah, M., & Ocampo, L. (2020). The use of the Delphi method with non-parametric analysis for identifying sustainability criteria and indicators in evaluating ecotourism management: the case of Penang National Park (Malaysia). Environment Systems and Decisions . https://doi.org/10.1007/s10669-020-09790-z

Felix, G., Nápoles, G., Falcon, R., Froelich, W., Vanhoof, K., & Bello, R. (2019). A review on methods and software for fuzzy cognitive maps. Artificial Intelligence Review, 52 (3), 1707–1737.

Fuentes, C. (2014). Managing green complexities: Consumers’ strategies and techniques for greener shopping. International Journal of Consumer Studies, 38 (5), 485–492.

Ghose, A., & Yang, S. (2009). An empirical analysis of search engine advertising: Sponsored search in electronic markets. Management Science, 55 (10), 1605–1622.

Golbeck, J., Grimes, J., & Rogers, A. (2010). Twitter use by the U.S. Congress. Journal of the American Society for Information Science and Technology, 61, 1612–1621.

Greenberg, J., & MacAulay, M. (2009). NPO 2.0? Exploring the web presence of environmental nonprofit organizations in Canada. Global Media Journal—Canadian Edition, 2, 63–88.

Grunert, K. G., Hieke, S., & Wills, J. (2014). Sustainability labels on food products: Consumer motivation, understanding and use. Food Policy, 44, 177–189.

Hall, C. M. (2016). Intervening in academic interventions: framing social marketing’s potential for successful sustainable tourism behavioural change. Journal of Sustainable Tourism, 24 (3), 350–375.

Han, W., McCabe, S., Wang, Y., & Chong, A. Y. L. (2018). Evaluating user-generated content in social media: An effective approach to encourage greater pro-environmental behavior in tourism? Journal of Sustainable Tourism, 26 (4), 600–614.

Hashemkhani Zolfani, S., Sedaghat, M., Maknoon, R., & Zavadskas, E. K. (2015). Sustainable tourism: A comprehensive literature review on frameworks and applications. Economic Research-Ekonomska Istraživanja, 28 (1), 1–30.

Hays, S., Page, S. J., & Buhalis, D. (2013). Social media as a destination marketing tool: Its use by national tourism organisations. Current Issues in Tourism, 16 (3), 211–239.

Heijnen, J., de Reuver, M., Bouwman, H., Warnier, M., & Horlings, H. (2013). Social media data relevant for measuring key performance indicators? A content analysis approach. In International conference on electronic commerce (pp. 74–84). Springer.

Higgins-Desbiolles, F. (2018). Sustainable tourism: Sustaining tourism or something more? Tourism Management Perspectives, 25, 157–160.

Ho, J. A., Chia, K. W., Ng, S. I., & Ramachandran, S. (2017). Problems and stakeholder responsibilities in island tourism: The case of Tioman Island in Malaysia. Journal of Hospitality & Tourism Research, 41 (4), 445–474.

Hoffman, D. L., & Fodor, M. (2010). Can you measure the ROI of your social media marketing? MIT Sloan Management Review, 52 (1), 41–49.

Howard, P. N., & Hussain, M. M. (2011). The upheavals in Egypt and Tunisia: The role of digital media. Journal of Democracy, 22 (3), 35–48.

Hult, G. T. M. (2011). Market-focused sustainability: Market orientation plus! Journal of the Academy of Marketing Science, 39, 1–6.

Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53 (1), 59–68.

Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in social media research: Past, present and future. Information Systems Frontiers, 20 (3), 531–558.

Karjaluoto, H., Ulkuniemi, P., Keinänen, H., & Kuivalainen, O. (2015). Antecedents of social media B2B use in industrial marketing context: Customers’ view. Journal of Business & Industrial Marketing, 30 (6), 711–722.

Kask, S., Kull, T., & Orru, K. (2016). Understanding of sustainable tourism among Russian tourism managers. European Journal of Tourism Research, 14, 101–105.

Kassab, S. E. (2016). Concept mapping as a tool for learning and assessment in problem-based learning. Suez Canal University Medical Journal, 19 (1), 1–9.

Kidwai, S., & Imperatore, C. (2011). How to use social media as an advocacy tool. Techniques: Connecting Education and Careers (J1), 86 (6), 36–39.

Killian, G., & McManus, K. (2015). A marketing communications approach for the digital era: Managerial guidelines for social media integration. Business Horizons, 58 (5), 539–549.

Kim, A. J., & Ko, E. (2012). Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand. Journal of Business Research, 65 (10), 1480–1486.

Kiráľová, A., & Pavlíčeka, A. (2015). Development of social media strategies in tourism destination. Procedia-Social and Behavioral Sciences, 175, 358–366.

Kobayashi, T., Ikeda, K. I., & Miyata, K. (2006). Social capital online: Collective use of the Internet and reciprocity as lubricants of democracy. Information, Communication & Society, 9, 582–611.

Koh, E., & Fakfare, P. (2019). Overcoming “over-tourism”: The closure of Maya Bay. International Journal of Tourism Cities, 6 (2), 279–296.

Kristjánsdóttir, K. R., Ólafsdóttir, R., & Ragnarsdóttir, K. V. (2018). Reviewing integrated sustainability indicators for tourism. Journal of Sustainable Tourism, 26 (4), 583–599.

Kumar, V., Bhaskaran, V., Mirchandani, R., & Shah, M. (2013). Practice prize winner—Creating a measurable social media marketing strategy: Increasing the value and ROI of intangibles and tangibles for hokey pokey. Marketing Science, 32 (2), 194–212.

Kunasekaran, P., Gill, S., Ramachandran, S., Shuib, A., Baum, T., & Herman Mohammad Afandi, S. (2017). Measuring sustainable indigenous tourism indicators: A case of Mah Meri ethnic group in Carey Island, Malaysia. Sustainability, 9 (7), 1256.

Lee, T. H., & Hsieh, H. P. (2016). Indicators of sustainable tourism: A case study from a Taiwan’s wetland. Ecological Indicators, 67, 779–787.

Local government of Palompon Tourism Office. (2019). Tourist visit statistics of Kalanggaman Island (Philippines) from 2010–2018 . Palompon, Leyte.

Lovejoy, K., Waters, R. D., & Saxton, G. D. (2012). Engaging stakeholders through Twitter: How nonprofit organizations are getting more out of 140 characters or less. Public Relations Review, 38, 313–318.

Lovett, J. (2011). Social media metrics secrets (Vol. 159). Wiley.

Luo, X., Zhang, J., & Duan, W. (2013). Social media and firm equity value. Information Systems Research, 24 (1), 146–163.

Meise, J. N., Rudolph, T., Kenning, P., & Phillips, D. M. (2014). Feed them facts: Value perceptions and consumer use of sustainability-related product information. Journal of Retailing and Consumer Services, 21 (4), 510–519.

Middleton, V. T. C., & Hawkins, R. (1998). Sustainable tourism: A marketing perspective . Butterworth Heinemann.

Miller, G. (2001). The development of indicators for sustainable tourism: Results of a Delphi survey of tourism researchers. Tourism Management, 22 (4), 351–362.

Minazzi, R. (2015). Social media impacts on travel suppliers: Social media marketing. In Social media marketing in tourism and hospitality (pp. 77–126). Springer.

Miniero, G., Codini, A., Bonera, M., Corvi, E., & Bertoli, G. (2014). Being green: from attitude to actual consumption. International Journal of Consumer Studies, 38 (5), 521–528.

Modica, P., & Uysal, M. (Eds.). (2016). Sustainable island tourism: Competitiveness and quality of life . CABI.

Ocampo, L., Ebisa, J. A., Ombe, J., & Escoto, M. G. (2018). Sustainable ecotourism indicators with fuzzy Delphi method—A Philippine perspective. Ecological Indicators, 93, 874–888.

O'Connor, P. (2008). Online social media and travel International-September 2008-Market research report . Retrieved October 6, 2009, from http://oxygen.mintel.com/sinatra/oxygen/display/id=387948 .

Olazabal, M., & Pascual, U. (2016). Use of fuzzy cognitive maps to study urban resilience and transformation. Environmental Innovation and Societal Transitions, 18, 18–40.

Osoba, O. A., & Kosko, B. (2017). Fuzzy cognitive maps of public support for insurgency and terrorism. The Journal of Defense Modeling and Simulation, 14 (1), 17–32.

Petray, T. L. (2011). Protest 2.0: Online interactions and aboriginal activists. Media, Culture & Society, 33, 923–940.

Poellnitz, D. (2011). U.S. Patent Application No. 12/854,108.

Popescu, A., & Grefenstette, G. (2011). Mining social media to create personalized recommendations for tourist visits. In Proceedings of the 2nd international conference on computing for geospatial research & applications (p. 37). ACM.

Quiñones, R., Caladcad, J. A., Quiñones, H., Caballes, S. A., Abellana, D. P., Jabilles, E. M., Himang, C., & Ocampo, L. (2019). Open innovation with fuzzy cognitive mapping for modeling the barriers of university technology transfer: A Philippine scenario. Journal of Open Innovation: Technology, Market, and Complexity, 5 (4), 94.

Ramos, T., & Pires, S. M. (2013). Sustainability assessment: The role of indicators. In Sustainability assessment tools in higher education institutions (pp. 81–99). Springer.

Ráthonyi, G. (2013). Influence of social media on tourism—Especially among students of the University of Debrecen. Applied Studies in Agribusiness and Commerce, 7 (1), 105–112.

Rathore, A. K., Joshi, U. C., & Ilavarasan, P. V. (2017). Social media usage for tourism: A case of Rajasthan tourism. Procedia Computer Science, 122, 751–758.

Rossmann, D., & Young, S. W. H. (2015). Social media optimization: Making library content shareable and engaging. Library Hi Tech, 33 (4), 526–544.

Ruda, A. (2016). Spatial decision support using data geo-visualization: The example of the conflict between landscape protection and tourism development. Journal of Maps, 12 (5), 1262–1267.

Rutty, M., Gössling, S., Scott, D., & Hall, C. M. (2015). c. In C. M. Hall, S. Gössling, & D. Scott (Eds.), The Routledge handbook of tourism and sustainability (p. 3663). Routledge.

Sahai, S., Goel, R., Malik, P., Krishnan, C., Singh, G., & Bajpai, C. (2018). Role of social media optimization in digital marketing with special reference to trupay. International Journal of Engineering & Technology, 7 (2.11), 52–57.

Sajid, S. I. (2016). Social media and its role in marketing. Business and Economics Journal, 7 (1), 1000203.

Saura, J. R., Palos-Sánchez, P., & Cerdá Suárez, L. M. (2017). Understanding the digital marketing environment with KPIs and web analytics. Future Internet, 9 (4), 76.

Scott, D., Hall, C. M., & Gössling, S. (2016). A review of the IPCC Fifth Assessment and implications for tourism sector climate resilience and decarbonization. Journal of Sustainable Tourism, 24 (1), 8–30.

Shah, D. V., Kwak, N., & Holbert, R. L. (2001). “Connecting” and “disconnecting” with civic life: Patterns of Internet use and the production of social capital. Political Communication, 18, 141–162.

Shao, J. (2016). Are present sustainability assessment approaches capable of promoting sustainable consumption? A cross-section review on information transferring approaches. Sustainable Production and Consumption, 7, 79–93.

Shao, J., Rodriguez, M. A. D., & Gretzel, U. (2012). Riding the social media wave: Strategies of DMOs who successfully engage in social media marketing. In M. Sigala, E. Christou, & U. Gretzel (Eds.), Social media in travel, tourism and hospitality: Theory, practice and cases (pp. 87–98). Ashgate Publishing Limited.

Shao, J., Taisch, M., & Mier, M. O. (2014). Sustainability assessment instruments for consumers-A multi-domain review from industrial engineering to marketing. In International conference on engineering, technology and innovation (ICE) (pp. 1–9). IEEE.

Sharpley, R. (2000). Tourism and sustainable development: Exploring the theoretical divide. Journal of Sustainable Tourism, 8 (1), 1–19.

Shu, M., & Scott, N. (2014). Influence of social media on Chinese students’ choice of an overseas study destination: An information adoption model perspective. Journal of Travel & Tourism Marketing, 31 (2), 286–302.

Singh, P. K., & Chudasama, H. (2017). Assessing impacts and community preparedness to cyclones: A fuzzy cognitive mapping approach. Climatic Change, 143 (3–4), 337–354.

Tandoc, E. C., & Takahashi, B. (2016). Log in if you survived: Collective coping on social media in the aftermath of Typhoon Haiyan in the Philippines. New Media & Society, 19 (11), 1778–1793.

Tang, L. R., Jang, S. S., & Morrison, A. (2012). Dual-route communication of destination websites. Tourism Management, 33 (1), 38–49.

Tepes, A., & Neumann, M. B. (2020). Multiple perspectives of resilience: A holistic approach to resilience assessment using cognitive maps in practitioner engagement. Water Research, 178, 115780.

Article   CAS   Google Scholar  

Tiago, M. T. P. M. B., & Veríssimo, J. M. C. (2014). Digital marketing and social media: Why bother? Business Horizons, 57 (6), 703–708.

UNWTO. (2017). UN statistical commission encourages statistical framework for measuring sustainable tourism . Retrieved June 1, 2019, from http://media.unwto.org/press-release/2017-04-07/unstatistical-commission-encourages-statistical-framework-measuring-sustai .

Vargas-Sánchez, A. (2018). The unavoidable disruption of the circular economy in tourism. Worldwide Hospitality and Tourism Themes, 10 (6), 652–661.

Waltz, T. J., Powell, B. J., Matthieu, M. M., Chinman, M. J., Smith, J. L., Proctor, E. K., Damschroder, L. J., & Kirchner, J. E. (2015). Innovative methods for using expert panels in identifying implementation strategies and obtaining recommendations for their use. In Implementation science (Vol. 10, No. S1, p. A44). BioMed Central.

WCED, S. W. S. (1987). World commission on environment and development. Our Common Future, 17, 1–91.

Weaver, D. (2006). Sustainable tourism . Routledge.

Weaver, D. (2007). Towards sustainable mass tourism: Paradigm shift or paradigm nudge? Tourism Recreation Research, 32 (3), 65–69.

Weaver, D. B. (2017). Core–periphery relationships and the sustainability paradox of small island tourism. Tourism Recreation Research, 42 (1), 11–21.

Weinberg, B. D., & Pehlivan, E. (2011). Social spending: Managing the social media mix. Business Horizon, 54 (3), 275–282.

Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research: An International Journal, 16 (4), 362–369.

Wunsch-Vincent, S., & Vickery, G. (2007). Participative web and user-created content: Web2.0, wikis and social networking . OECD.

Yang, J., Ge, Y., Ge, Q., Xi, J., & Li, X. (2016). Determinants of island tourism development: The example of Dachangshan Island. Tourism Management, 55, 261–271.

Yang, X., & Wang, D. (2015). The exploration of social media marketing strategies of destination marketing organizations in China. Journal of China Tourism Research, 11 (2), 166–185.

Zeng, B., & Gerritsen, R. (2014). What do we know about social media in tourism? A review. Tourism Management Perspectives, 10, 27–36.

Zhang, M., Jansen, B. J., & Chowdhury, A. (2011). Business engagement on Twitter: A path analysis. Electronic Markets, 21 (3), 161.

Zhao, L., & Zhu, J. S. (2010). Internet marketing budget allocation: From practitioner’s perspective. International Journal of Information Technology and Decision Making, 9 (5), 779–797.

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Yamagishi, K., Ocampo, L., Abellana, D.P. et al. The impact of social media marketing strategies on promoting sustainability of tourism with fuzzy cognitive mapping: a case of Kalanggaman Island (Philippines). Environ Dev Sustain 23 , 14998–15030 (2021). https://doi.org/10.1007/s10668-021-01283-6

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DOI : https://doi.org/10.1007/s10668-021-01283-6

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