Nexus between digital tourism "hackathon", value co-creation, reward-based crowdfunding and destination competitiveness in post-pandemic tourism
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Zaman, Umer Article Nexus between digital tourism "hackathon", value cocreation, reward-based crowdfunding and destination competitiveness in post-pandemic tourism Pakistan Journal of Commerce and Social Sciences (PJCSS) Provided in Cooperation with: Johar Education Society, Pakistan (JESPK) Suggested Citation: Zaman, Umer (2023) : Nexus between digital tourism "hackathon", value cocreation, reward-based crowdfunding and destination competitiveness in post-pandemic tourism, Pakistan Journal of Commerce and Social Sciences (PJCSS), ISSN 2309-8619, Johar Education Society, Pakistan (JESPK), Lahore, Vol. 17, Iss. 4, pp. 793-825 This Version is available at: https://hdl.handle.net/10419/285325 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes. You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by-nc/4.0/
Pakistan Journal of Commerce and Social Sciences 2023, Vol. 17(4), 793-825 Pak J Commer Soc Sci Nexus between Digital Tourism ‘Hackathon’, Value Cocreation, Reward-based Crowdfunding and Destination Competitiveness in Post-Pandemic Tourism Umer Zaman Endicott College of International Studies, Woosong University, Daejeon 34606 South Korea. Email: umerza[email protected].kr Article History Received: 03 Oct 2023 Revised: 24 Dec 2023 Accepted: 29 Dec 2023 Published: 31 Dec 2023 Abstract Open innovation platforms are transforming global tourism by enhancing visitors experience, creating resilient destinations, mobilizing creativity and shared expertise across diverse stakeholders. The present research explores the impact of digital tourism hackathon, reward-based crowdfunding and value co-creation on destination competitiveness through an online survey of tourism industry professionals (N=479). Based on prominent theories (i.e., innovation diffusion theory, stakeholder theory and social exchange theory) and statistical estimations with partial least square structural equation modeling (PLS -SEM), the present study provides ground-breaking evidence that tourism value co-creation positively mediates the effects of digital tourism 'hackathon' and reward-based crowdfunding on destination competitiveness. In addition, the SEM-based findings also validate that destination competitiveness is significantly and positively influenced by digital tourism hackathon and reward-based crowdfunding. The practical implications include strategic insights for tourism policymakers and destination managers to leverage technology and innovation for sustainable tourism development. The present study highlights various approaches to foster collaboration and innovation, besides overcoming the challenges of implementing open innovation through governance frameworks and equitable partnerships for shared tourism benefits. Keywords: Digital tourism hackathon, reward-based crowdfunding, destination competitiveness, value co-creation, innovation diffusion theory, stakeholder theory and social exchange theory, United Arab Emirates. 1. Introduction Global tourism has seen substantial modifications in recent years, owing mostly to technological improvements and the widespread adoption of digital platforms (Li et al., 2023; Nam et al., 2021). These innovations have not only altered the way tourists plan and enjoy their vacations, but they have also presented new problems and opportunities for tourism destinations (Femenia-Serra & Ivars-Baidal, 2021). Understanding the role of digital innovation in boosting destination competitiveness has become a critical topic of
Digital Tourism ‘Hackathon’, Value Co-creation and Destination Competitiveness 794 interest especially for tourism scholars and practitioners (Gretzel, 2022). Several studies have been conducted to investigate the impact of digital technologies on various elements of the tourism business, including online booking systems, social media marketing, and virtual reality experiences (Bilgili & Koc, 2021; Oncioiu & Priescu, 2022; Subawa et al., 2021). There is, however, a significant research gap in determining the specific processes by which digital tourism efforts, such as digital tourism hackathons reward-based crowdfunding, and value co-creation, contribute to destination competitiveness (Yuan & Gasco-Hernandez, 2021). This study seeks to address this void by investigating the connections between digital tourism hackathons, reward-based crowdfunding, tourism value co-creation, and destination competitiveness, with an emphasis on the UAE toursim. Previous research has set the groundwork for a better understanding of the function of digital technologies in the tourism sector (Xiang et al., 2021). Chan et al. (2022), for example, evaluated the impact of online booking systems on destination competitiveness and discovered that digital platforms greatly improve a destination's competitiveness by providing tourists with ease and tailored experiences. Similarly, Tran and Rudolf (2022) investigated the impact of social media marketing on destination branding and emphasized the need of engaging with tourists via digital platforms in order to generate effective brand associations. While these studies offer insight on the overall influence of digital technologies on destination competitiveness, there has been little research into the effects of digital tourism hackathons, reward-based crowdfunding and value co-creation on destination competitiveness (Masciotta, 2021). Digital tourism hackathons, which bring together stakeholders from the tourism industry and the technology sector to generate creative digital solutions, have gained popularity as a way to foster collaboration and spur digital innovation in the tourism sector (Sufi, 2022). Furthermore, tourism value cocreation, in which tourists actively participate in the creation and distribution of value, has emerged as a crucial competitiveness driver (Melis et al., 2023). Existing research has generally concentrated on broad elements of digital technologies and their impact on competitiveness, ignoring the distinctive contributions of digital tourism hackathons, reward-based crowdfunding and value co-creation (Hansen & Duran Sanchez, 2021; Kitsios & Kamariotou, 2023a). Despite the increased interest in digital tourism efforts, reward-based crowdfunding and value co-creation, there has been little research into the specific links and mechanisms through which these elements influence destination competitiveness (Dias et al., 2021). UAE has risen rapidly as one of the leading tourism destinations (Xie et al., 2021). The UAE government has aggressively promoted digital tourism projects to increase the country's tourism competitiveness (Yan et al., 2022). However, empirical research into the unique consequences of digital tourist hackathons, reward-based crowdfunding and value co-creation in the UAE setting has been rarely investigated (Osorno-Hinojosa et al., 2022). UAE's distinct cultural legacy, distinct landscapes, and growing international tourist arrivals make it a perfect location for studying the links between digital tourism initiatives, reward-based crowdfunding, value cocreation, and destination competitiveness (Ahn & Bessiere, 2023). Understanding how
Zaman 795 digital tourism hackathons, reward-based crowdfunding and value co-creation contribute to improving destination competitiveness in UAE can provide significant insights for tourism policymakers, destination managers, and industry practitioners (Zeng et al., 2021). Hence, this research can help to establish focused policies and interventions that boost UAE's status as a competitive tourist destination by identifying the specific elements, tools and methods that drive competitiveness. The primary goal of this research is to explore the impact of digital tourism hackathons and reward-based crowdfunding on destination competitiveness in UAE. The study's specific goals are as follows: ➢ The study examines the direct and indirect effects of digital tourism hackathons and reward-based crowdfunding on destination competitiveness. ➢ The study examines the mediating role of tourism value co-creation in the relationship between digital tourism hackathons and destination competitiveness. ➢ The study examines the mediating role of tourism value co-creation in the relationship between reward-based crowdfunding and destination competitiveness. ➢ The study offers groundbreaking empirical evidence and practical insights into the dynamics that affect destination competitiveness through digital tourism hackathons and reward-based crowdfunding. ➢ The study fills a critical research gap in understanding the unique consequences of digital tourism hackathons, reward-based crowdfunding and value co-creation for destination competitiveness, and significantly contributes to the current body of knowledge. The study's conclusions have theoretical and practical consequences for the global tourism industry, governments, and destination managers. Theoretical implications include better understanding the function of digital tourism initiatives, reward-based crowdfunding and value co-creation in increasing destination competitiveness. The practical implications include providing policymakers and destination managers with concrete insights and recommendations for developing effective policies and interventions that utilize digital innovation and collaborative efforts to boost the competitiveness of tourism destinations. 2. Literature Review The tourist business is undergoing fast alterations in today's digitally driven world, fueled by technological breakthroughs (Lee & Trimi, 2021). The combination of digital tourism hackathons and reward-based crowdfunding is one significant phenomenon that is gaining traction and has the potential to transform destination competitiveness (Kamariotou & Kitsios, 2022; Qu et al., 2022). These innovative ideas leverage the power of collaboration, technology, and online platforms to create new opportunities and boost tourism growth (Wei, 2022).
Digital Tourism ‘Hackathon’, Value Co-creation and Destination Competitiveness 796 Digital tourism hackathons act as innovation catalysts, bringing together diverse stakeholders to create cutting-edge solutions to tourist-related difficulties (Zeng et al., 2021). These hackathons provide an environment where creative ideas and problemsolving can bloom by encouraging collaboration among entrepreneurs, developers, government authorities, and tourism groups (Phi & Waldesten, 2021). Similarly, rewardbased crowdfunding systems enable people and groups to communicate directly with potential tourists while also raising funds for tourism initiatives (J. Chan et al., 2022). This strategy not only allows tourist initiatives to be realized, but it also allows for a direct connection between producers and the public, allowing them to actively shape the tourism scene (Ivona et al., 2021). 2.1 Digital Tourism Hackathon Digital tourism hackathons foster tourism sector innovation and collaboration (Sufi, 2022). These conferences bring together entrepreneurs, developers, tourism groups, and government agencies to solve problems and provide digital solutions to improve tourism (Lacarcel & Huete, 2023). Digital tourism hackathons use participants' skills and creativity to create new ideas and products (Yuan & Gasco-Hernandez, 2021). Furthermore, they provide a venue for knowledge sharing, networking, and the establishment of collaborations, all of which can help to the tourist sector's long-term growth and sustainability (Liu et al., 2022). According to research on digital tourism hackathons, they have the ability to inspire technology improvements, increase operational efficiency, and generate distinctive tourist experiences, hence increasing destination competitiveness (Georgescu Paquin & Risco, 2021). The correctness, dependability, and relevance of information provided through digital platforms related to tourist hackathons are referred to as online information quality (Demirel et al., 2022). Online information quality is critical in attracting participants and encouraging effective collaboration in the context of digital tourism hackathons (Kitsios & Kamariotou, 2023b). High-quality material assists potential participants in understanding the hackathon's aims, requirements, and expected outcomes, allowing them to make educated judgments regarding their participation (Falk et al.). The ease of use and navigation of digital platforms that provide information and allow participation in digital tourism hackathons is referred to as user-friendly accessibility (Wang et al., 2022). The usefulness of these platforms has a significant impact on potential users' interest and involvement (Yang et al., 2022). Intuitive design, clear directions, and seamless interaction are examples of user-friendly accessibility (Bodker, 2023). Participants can quickly access information, register for the hackathon, and engage in collaborative activities when digital platforms are user-friendly (Temiz, 2021). A user-friendly interface lowers entry barriers and fosters inclusion, allowing people from all technology backgrounds to engage and contribute successfully (Yodchai et al., 2022). Researchers and practitioners can acquire insights into the specific components that contribute to the success and efficacy of these creative events by emphasizing the
Zaman 797 importance of online content quality and user-friendly accessibility within the context of digital tourism hackathons (Albaom et al., 2022). Understanding and resolving these subvariables can assist organizers in optimizing their digital platforms, improving participant experience, and maximizing the potential for collaborative problem-solving and creativity (Dwivedi et al., 2022). 2.2 Reward-based Crowdfunding Reward-based crowdfunding has received a lot of attention as a way to fund tourism initiatives and engage with potential travelers (Chan et al., 2022). Individuals and organizations can use online platforms to exhibit their tourist projects and solicit financial contributions from the public (Lewis et al., 2021). Backers receive perks or incentives based on their degree of support in exchange (Wessel et al., 2021). This method not only provides an alternate finance mechanism for tourism projects, but it also allows for direct interaction between project designers and potential guests (Grilli et al., 2021). According to research on reward-based crowdfunding in the tourism environment, it can mobilize financial resources, increase project visibility, and foster a sense of ownership and involvement among backers (Regner & Crosetto, 2021). Reward-based crowdfunding has the ability to provide unique and authentic experiences by allowing the public to actively engage in the development of tourism offers, thereby favorably improving destination competitiveness (Wang et al., 2022). 2.3 Tourism Value Co-creation The active participation of visitors and other stakeholders in the co-creation of value during the tourism experience is referred to as tourism value co-creation (Kirova, 2021). It highlights the value of cooperation, involvement, and incorporating varied viewpoints in the design and delivery of tourism products and services (Walker et al., 2021). The concept recognizes that value is created not just by tourism operators, but also by exchanges and engagements with tourists themselves (Lin et al., 2022). Tourists can play a more active role in designing their experiences through tourism value co-creation, resulting to higher pleasure and loyalty (Jiang et al., 2021). Involving tourists in the co-creation process can also result in the creation of new and tailored solutions that respond to their specific requirements and interests (Font, English, et al., 2021). Tourism value co-creation research shows that it has the ability to improve overall tourism experience quality, promote destination branding, and develop long-term relationships with visitors (Simanjuntak, 2022). It is thought that through facilitating tourist value co-creation, the effects of digital tourism hackathons and reward-based crowdfunding on destination competitiveness will be reinforced (Mariani & Chatterjee, 2023). The active involvement and engagement of tourists in the co-creation of value during their tourism experiences is referred to as participation behavior (Jiang et al., 2021). It includes a variety of types of participation, such as providing comments, exchanging
Digital Tourism ‘Hackathon’, Value Co-creation and Destination Competitiveness 798 recommendations, and co-creating tourism offerings (Fusté-Forné & Jamal, 2021). When tourists actively participate in the process of value co-creation, they contribute their knowledge, preferences, and talents, impacting the development and customization of tourism products and services (Tao et al., 2022). According to research on participation behavior, it has a favorable impact on destination competitiveness (Tse & Tung, 2022). Citizenship conduct refers to travelers' voluntary efforts and contributions that go above and beyond their fundamental expectations and obligations (Li et al., 2022). It includes actions such as honoring local traditions and customs, protecting the environment, and assisting local populations (Nan et al., 2021). Citizenship behaviors by tourists exhibit ethical and sustainable tourism practices that benefit both the place and its stakeholders (Wu et al., 2022). These actions contribute to the destination's positive image and reputation, increasing its competitiveness (Cillo et al., 2021). Citizenship behavior research stresses its importance in creating destination sustainability and long-term competitiveness (Xu & Lu, 2023). Researchers and practitioners can get insights into the precise behaviors that contribute to the co-creation process and ultimately effect destination competitiveness by investigating the sub-variables of participation behavior and citizenship behavior within the context of tourism value co-creation (Lan et al., 2021; Lee & Kim, 2021). Understanding and encouraging these behaviors allows destinations to capitalize on the potential of tourists as active contributors, assuring the sustainability and attractiveness of their tourism services (Hysa et al., 2022). 2.4 Destination Competitiveness The capacity of a location to attract and keep visitors in the face of competition from other destinations is referred to as destination competitiveness (Xu & Au, 2023). It includes several characteristics, such as the distinctiveness of tourism offers, destination image and branding, infrastructure, accessibility, service quality, and overall visitor happiness (Rejikumar et al., 2021). The competitiveness of a destination is critical in setting its market position, attracting investments, and maintaining long-term tourism growth (Nematpour et al., 2022). Several factors that contribute to destination competitiveness have been identified through research, including the development of innovative products and services, effective marketing and branding strategies, collaborative efforts among stakeholders, and the provision of exceptional visitor experiences (Font, Torres-Delgado, et al., 2021). Researchers and practitioners can gain valuable insights into how to foster innovation, engage stakeholders, and improve the overall competitiveness of tourism destinations by understanding the impact of digital tourism hackathons and reward-based crowdfunding, as mediated by tourism value co-creation (Cappa, 2022). The availability of facilities and activities is an important factor in determining a destination's competitiveness (Moradi et al., 2022). It refers to the many infrastructure, amenities, and experiences available to tourists (Zhang et al., 2022). Destinations that offer a diverse range of amenities and activities cater to tourists' diverse interests and
Zaman 799 preferences, boosting their overall experience and pleasure (Le et al., 2022). The provision of amenities and activities is important in attracting and maintaining tourists, according to research (Jocom et al., 2021). The unique and appealing characteristics of a destination's cultural heritage, traditions, landscapes, and biodiversity are referred to as cultural and natural attractiveness (Zhang et al., 2022). A destination's cultural richness and natural beauty are important factors in its competitiveness (Akin et al., 2022). Destinations with distinct cultural characteristics, such as historical monuments, festivals, art, music, and cuisine, can set themselves apart from competitors and attract travelers looking for authentic experiences (Marin-Pantelescu et al., 2022). Similarly, areas endowed with spectacular natural environments, such as mountains, beaches, woods, and wildlife, attract nature lovers and adventure seekers (Wood, 2021). Tourist service quality is a critical predictor of destination competitiveness (Font, Torres- Delgado, et al., 2021). It includes the hospitality, professionalism, responsiveness, and efficiency displayed by tourism businesses and service providers (Mao et al., 2021). The level of service provided has a considerable impact on tourists' contentment, loyalty, and overall perception of a place (Li, 2021). According to research, providing outstanding service experiences is critical for gaining a competitive advantage (Darmawan & Grenier, 2021). Destinations that focus service personnel training and development, establish a culture of hospitality, and maintain consistently excellent service standards can differentiate themselves from competition (Kuo et al., 2022). The quality of infrastructure is critical to the competitiveness of a destination (Chan et al., 2022). It concerns a destination's transportation, housing, communication, and other important services' dependability, efficiency, and safety (Etminani-Ghasrodashti et al., 2021). Infrastructure improves accessibility, convenience, and comfort for tourists (Sunandar et al., 2022). The impact of infrastructure quality on tourist satisfaction and a destination's overall competitiveness has been studied (Zeng et al., 2021). Efficient transportation infrastructure, such as airports, roads, and public transportation, ensure smooth travel experiences and allow for exploration of the destination (Sigler et al., 2021). 2.6 Theories in Support of Hypotheses Development Innovation Diffusion Theory, Stakeholder Theory, and Social Exchange Theory provide comprehensive frameworks for understanding the dynamics of digital tourism hackathons and reward-based crowdfunding (Amini & Jahanbakhsh Javid, 2023). Innovation diffusion theory, as outlined by Safri and Musa (2022), highlights the factors influencing the adoption of novel approaches, such as digital tourism hackathons and reward-based crowdfunding, while stakeholder theory, as proposed by Strazzullo et al. (2022), underscores the importance of aligning the interests of various stakeholders to enhance outcomes. Additionally, social exchange theory, as described by Yuan and Gasco- Hernandez (2021), elucidates the motivations driving participation in these initiatives, emphasizing perceived rewards and social interactions. Considering these theories, tourism
Digital Tourism ‘Hackathon’, Value Co-creation and Destination Competitiveness 800 organizations can effectively engage stakeholders and optimize outcomes by leveraging the inherent qualities of these innovative practices and understanding the diverse motivations and expectations of participants (Stafford & Kuiper, 2021). 2.7 Hypotheses H1: There is a direct positive relationship between the level of participation in digital tourism hackathons and destination competitiveness. H2: There is a direct positive relationship between the utilization of reward-based crowdfunding and destination competitiveness. H3: The relationship between the level of participation in digital tourism hackathons and destination competitiveness is mediated by tourism value cocreation. H4: The relationship between the utilization of reward-based crowdfunding and destination competitiveness is mediated by tourism value co-creation. These hypotheses propose that involvement in digital tourism hackathons and rewardbased crowdfunding have direct correlations with destination competitiveness (see figure 1). Furthermore, the hypotheses show that the level of tourist value co-creation mediates the influence of these variables on destination competitiveness. Researchers can explore the direct and indirect effects of digital tourism hackathons, reward-based crowdfunding, and tourist value co-creation on destination competitiveness by investigating these hypotheses. The conceptual model of the study is shown in Figure 1. Figure 1: Conceptual Model
Zaman 807 The Heterotrait-Monotrait Ratio (HTMT) was used in the study to measure the discriminant validity between components. In the table, the HTMT values show the ratio of heterotrait (correlation between distinct constructions) to monotrait (correlation between the same constructs). To demonstrate discriminant validity, the HTMT values should be less than a specified threshold (e.g., 0.85), according to the criterion. When the findings are analyzed, it is clear that the HTMT values are often lower than the threshold, showing discriminant validity between constructs. For example, the HTMT value between facility availability and citizenship behavior is 0.745, indicating that these two entities are separate. Similarly, the HTMT value between cultural and natural beauty and online information quality is 0.785, showing that both categories have discriminant validity. Furthermore, the HTMT values between perceived behavior and other categories, such as online information quality, infrastructure quality, and service quality, range from 0.308 to 0.884. This suggests that perceived behavior is distinct from these variables, lending credence to its discriminant validity. However, certain HTMT levels are near or beyond the threshold. Service quality and infrastructure quality have an HTMT value of 0.868, while user friendliness and online information quality have 0.875. These data suggest that these domains may share variance, requiring further research to confirm their discriminant validity. Overall, the HTMT analysis supports the discriminant validity of the study's components (see table 4). The bulk of the HTMT values are lower than the threshold, showing that the measures for these constructs capture different features of the underlying structures. Table 4: HTMT Criterion 1 2 3 4 5 6 7 8 9 Availability of Facilities Citizenship Behavior 0.745 Cultural and Natural Attractiveness 0.748 0.785 Online Information Quality 0.835 0.556 0.524 Perceived Behavior 0.480 0.541 0.884 0.308 Quality of Infrastructure 0.786 0.518 0.537 0.679 0.276 Quality of Service 0.637 0.735 0.631 0.802 0.358 0.868 Reward-Based Crowdfunding 0.597 0.292 0.364 0.830 0.181 0.850 0.639 User Friendliness 0.854 0.497 0.440 0.825 0.292 0.867 0.875 0.808
Digital Tourism ‘Hackathon’, Value Co-creation and Destination Competitiveness 808 The model fit statistics in Table 5 provide vital insights into the proposed model's prediction ability. These statistics aid in determining the model's quality in terms of its ability to predict the outcome variables. First, the Q2predict value of 0.871 suggests that the model is highly predictive. This score indicates that the independent variables in the model can explain and properly predict about 87.1% of the variance in the dependent variables. A higher Q2predict value indicates that the model has better predictive performance. The RMSE (Root Mean Square Error) score of 0.059 thus offers an estimate of the model's average prediction error. This result indicates that the model's predictions differ from the actual values by around 0.059 units on average. A lower RMSE number indicates that the model's predictions are more accurate and precise. Furthermore, the MAE (Mean Absolute Error) value of 0.075 reflects the average absolute difference between anticipated and actual values. This figure is another indicator of the model's predictive performance, with a lower MAE indicating a reduced average prediction error. Overall, the model fit statistics show that the suggested model does a good job of predicting the outcome variables (see table 6). The high Q2 predict value, when combined with the low RMSE and MAE values, indicates that the model is successful in capturing the relationships between the independent and dependent variables, resulting in accurate predictions. These findings give reason to believe in the model's capacity to explain and forecast the variables of interest. Table 5: Model Fit Statistics Q² (Predictive Relevance) RMSE MAE 0.871 0.059 0.075 Table 6's R-square statistics show the model's variables' variance explanations. These statistics quantify the percentage of dependent variable variation explained by the model's independent variables. The findings show that various factors explain well. The availability of facilities variable has an R-square value of 0.839, suggesting that the other factors in the model explain 83.9% of its variation. Citizenship behavior has a high R-square value of 0.847, indicating that independent factors explain 84.7% of its variation. Online information quality, service quality, and user friendliness had high R-square values of 0.823, 0.870, and 0.879, respectively. These values imply that the model's other variables explain a large part of these variables' variation. Tourism value co-creation and cultural and natural appeal had lower R-square values of 0.210 and 0.583. The model's other variables explain less of these variables' variation. R- square statistics reveal the model's variables' explanatory strength. Variables with higher R-square values explain more variation in the dependent variable than those with lower values (see table 6).
Zaman 809 Table 6: R-Square Statistic Variable R-square Availability of Facilities 0.839 Citizenship Behavior 0.847 Cultural and Natural Attractiveness 0.583 Destination Competitiveness 0.720 Online Information Quality 0.823 Perceived Behavior 0.599 Quality of Infrastructure 0.734 Quality of Service 0.870 Tourism Value Co-Creation 0.210 User Friendliness 0.879 The F-square statistics in Table 7 give information on the strength of the relationships between the independent and dependent variables in the model. These statistics calculate the percentage of variation in the dependent variable that can be explained by each independent variable separately. Several notable findings can be made after reviewing the results. First, an F-square value of 5.211 indicates that the availability of facilities variable considerably contributes to the explanation of destination competitiveness. This shows that the availability of amenities has a significant impact on the destination's competitiveness. Second, as indicated by an F- square value of 1.397, citizenship behavior has a considerable influence on destination competitiveness. This suggests that the behaviors associated with being a responsible and involved citizen in the tourism context have a significant impact on the destination's overall competitiveness. Furthermore, in regard to the digital tourism hackathon, the F-square values for online information quality and quality of service are 4.636 and 6.718, respectively. These results imply that the quality of online information and the availability of high-quality services have a significant impact on the outcomes of a digital tourism hackathon. Furthermore, as evidenced by F-square values of 7.270 and 5.538, user friendliness has a substantial association with both digital tourism hackathon and tourist value co-creation. This shows that user-friendly experiences are critical to the success of digital tourism hackathons and the enhancement of tourism value co-creation activities. In summary, F-square statistics shed light on the individual contributions of independent factors to explaining variances in dependent variables (see table 7). The significant relationships discovered in this analysis highlight the importance of various factors in
Digital Tourism ‘Hackathon’, Value Co-creation and Destination Competitiveness 810 shaping destination competitiveness, digital tourism hackathon outcomes, and tourism value co-creation efforts, such as facility availability, citizenship behavior, online information quality, quality of service, and user friendliness. Table 7: F-Square Statistic AOF CB CNA DC OIQ PB QOI QOS TVCC UF Destination Competitiveness 5.211 1.397 2.753 6.718 Digital Tourism Hackathon 0.279 4.636 0.184 7.270 Reward-Based Crowdfunding 0.053 0.018 Tourism Value Co-Creation 5.538 0.416 1.494 Notes: Availability of Facilities (AOF); Citizenship Behavior (CB); Cultural and Natural Attractiveness (CNA); Destination Competitiveness (DC); Online Information Quality (IOQ); Perceived Behavior (PB); Quality of Infrastructure (QOI); Quality of Service (QOS); Tourism Value Co-Creation (TVCC); User Friendliness (UF) Table 8 presents the path analysis results, which provide valuable insights into the linkages between factors and their effects on destination competitiveness. To begin, a T-statistic of 6.574 and a p-value of 0.000 reveal a substantial positive link between digital tourism hackathons and destination competitiveness. This implies that digital tourism hackathons have a significant impact on destination competitiveness. Second, with a T-statistic of 2.929 and a p-value of 0.002, the path from reward-based crowdfunding to destination competitiveness also shows a significant positive association. This suggests that rewardbased crowdfunding helps to improve destination competitiveness. Furthermore, a T-statistic of 4.166 and a p-value of 0.000 indicate a strong positive link between the indirect path from digital tourism hackathon to destination competitiveness via tourist value co-creation. This shows that the impact of the digital tourism hackathon on destination competitiveness is mediated in part by the tourist value co-creation process. Finally, the indirect path from reward-based crowdfunding to destination competitiveness via tourism value co-creation reveals a strong, albeit negative, relationship. The T-statistic of 2.240 and the p-value of 0.013 imply that reward-based crowdfunding has a minor negative indirect influence on destination competitiveness via tourism value co-creation.
Zaman 811 Figure 2: Structural Model Path Analysis In summary, the path analysis results corroborate the study's hypotheses (see figure 2). Destination competitiveness is strongly influenced by digital tourism hackathons and reward-based crowdfunding. Furthermore, through the mediation of tourist value cocreation, the digital tourism hackathon indirectly affects destination competitiveness. The indirect path from reward-based crowdfunding to destination competitiveness via tourism value co-creation, on the other hand, has a modest negative effect (see table 8). Table 8: SEM Path Analysis of Hypotheses Original Sample Standard Deviation t- Statistics P- values Digital Tourism Hackathon -> Destination Competitiveness 0.462 0.070 6.574 0.000 Reward-Based Crowdfunding -> Destination Competitiveness 0.187 0.064 2.929 0.002 Digital Tourism Hackathon -> Tourism Value Co-Creation -> Destination Competitiveness 0.223 0.053 4.166 0.000 Reward-Based Crowdfunding -> Tourism Value Co-Creation -> Destination Competitiveness -0.070 0.031 2.240 0.013
Digital Tourism ‘Hackathon’, Value Co-creation and Destination Competitiveness 812 5. Discussion This study's discussion section seeks to provide an in-depth analysis and explanation of the findings, combining pertinent theories and literature findings. The current findings are compared to other studies in order to detect similarities, differences, and potential contributions to the body of knowledge. The study's first key finding is the impact of a digital tourism hackathon on location competitiveness. The findings supported the innovation diffusion theory by revealing a substantial positive association with digital tourism hackathon and destination competitiveness. These findings are similar with previous studies by Szromek et al. (2022) and Abuelenain (2021), who discovered that digital efforts, such as hackathons, have an important impact in increasing destination competitiveness. The current study adds to this body of knowledge by concentrating on the setting of tourism in UAE. The second discovery concerns the impact of reward-based crowdfunding on destination competitiveness. The findings show a strong positive association, implying that crowdsourcing can help destinations improve their competitive positioning. This finding is consistent with stakeholder theory, which emphasizes the necessity of involving all stakeholders, including tourists, in destination planning and promotion. It also lends support to the findings of Kuo et al. (2022) and Cillo et al. (2021), who discovered that crowdfunding has a similar favorable effect on destination competitiveness. However, the amount of the effect in the current study was lesser than the direct impact of the digital tourism hackathon, implying that other factors may also contribute to destination competitiveness. Furthermore, the role of tourism value co-creation as a mediator between digital tourism hackathon and destination competitiveness was investigated. The findings indicated that tourism value co-creation somewhat mediates the association between digital tourism hackathon and destination competitiveness. This finding is consistent with the social exchange hypothesis, which holds that value co-creation activities involving tourists and other stakeholders can improve destination competitiveness. These findings are congruent with those of Deng et al. (2021) and Lan et al. (2021), who both discovered evidence of the mediating effect of tourist value co-creation. Several similarities and contrasts arise when comparing the findings of this study to earlier research. In terms of direct consequences, prior research has found that digital tourism hackathons and reward-based crowdfunding have a favorable impact on destination competitiveness. The current study, on the other hand, gives more particular insights by looking at the underlying mechanisms via the perspective of tourist value co-creation. This provides a fuller knowledge of the variable's intricate relationships. It should be noted that the current study discovered a minor negative indirect effect of reward-based crowdfunding on destination competitiveness via tourist value co-creation. This finding differs from earlier research, which focused on the positive outcomes of crowdsourcing. Possible explanations for this disparity include contextual factors such as research sample
Zaman 813 characteristics or the specific implementation of crowdfunding campaigns in the UAE tourism industry. Future study should go deeper into this exciting discovery to acquire a better grasp of the underlying processes. Overall, this research advances theoretical and practical understanding of digital tourist efforts, crowdfunding, and destination competitiveness. The findings emphasize the importance of digital tourism hackathons and reward-based crowdfunding in increasing destination competitiveness, while also underlining the role of tourist value co-creation as a mediating factor. The findings give useful insights for destination management organizations, politicians, and industry practitioners looking to leverage digital platforms and new techniques to boost tourism destination competitiveness. 5.1 Theoretical and Practical Implications This research has theoretical ramifications in that it advances our understanding of numerous fundamental theories in the realm of digital tourism and destination competitiveness. To begin, the findings contribute to the theory of innovation diffusion by emphasizing the importance of digital tourism hackathons as a catalyst for innovation adoption and diffusion within the tourism industry. This study presents empirical evidence that digital tourism hackathons can effectively encourage the adoption of new practices and technology, hence improving destination competitiveness. Second, this study contributes to the body of knowledge on stakeholder theory by emphasizing the importance of involving diverse stakeholders in the co-creation of tourism value, such as tourists, local communities, and industry participants. This study emphasizes the importance of collaborative efforts in destination development and competitiveness by proving the mediating effect of tourism value co-creation. It explains how stakeholders may help to create unique and authentic experiences that distinguish a destination and attract tourists. Third, the findings add to social exchange theory by emphasizing the reciprocal interactions that exist between tourists and places. The favorable impact of reward-based crowdfunding on destination competitiveness suggests that when tourists contribute to a destination's growth through crowdfunding, they anticipate to receive important experiences and benefits in return. This research emphasizes the significance of encouraging positive social exchanges and value co-creation between tourists and destinations, which leads to increased competitiveness and sustainability. This research has practical significance for destination management organizations, governments, and industry practitioners involved in the development and promotion of tourist destinations. To begin, the findings underscore the necessity of investing in digital tourism hackathons to stimulate innovation and boost destination competitiveness. Organization of hackathons allows destination administrators to tap into the creative
Digital Tourism ‘Hackathon’, Value Co-creation and Destination Competitiveness 814 potential of technology specialists, entrepreneurs, and local communities to produce unique solutions and experiences that differentiate their destination. Second, because of the favorable association between reward-based crowdfunding and destination competitiveness, destinations should look into crowdfunding platforms as a way to engage tourists and other stakeholders in destination development. By asking tourists to contribute financially to specific projects or initiatives, locations can increase their desirability, provide unique experiences, and build stakeholders' sense of ownership and pride. This method has the potential to result in long-term tourist development and greater destination competitiveness. Furthermore, tourism value co-creation's mediating role emphasizes the significance of actively involving tourists and local communities in value co-creation. Platforms and methods that enable meaningful interactions, cooperation, and co-design between tourists, local communities, and tourism firms should be made available by destination managers. Destinations may ensure that the resultant tourist products and experiences correspond with the expectations and aspirations of visitors by incorporating stakeholders in the planning and decision-making processes. Overall, this study's theoretical and practical implications underscore the potential of digital tourism hackathons, reward-based crowdfunding, and tourist value co-creation in increasing destination competitiveness. Destinations can differentiate themselves in the competitive tourism industry by adopting digital technologies, cultivating collaborative partnerships, and involve stakeholders in the co-creation of value. These findings can help destination managers, politicians, and industry practitioners design and promote competitive and sustainable tourist destinations. 5.2 Limitations and Recommendations This research has limits, despite its usefulness. First, this study used data from Dubai and Abu-Dhabi, which may limit its applicability to other locations. To make results more applicable, future studies should cover more destinations. Second, tourist guides selfreported their data, which may induce response biases and social desirability effects. Although participants were kept anonymous and confidential, bias may have influenced the outcomes. Future study could use objective measurements and alternate data sources to overcome these constraints. Cross-sectional data limits causal linkages between variables. Longitudinal or experimental research could show the causal effects and temporal dynamics of digital tourism hackathons, tourist value co-creation, and destination competitiveness. This study also examined destination competitiveness sub-variables such facility availability, cultural and natural appeal, service quality, and infrastructure quality. Environmental sustainability, social inclusiveness, and destination branding were ignored. These new dimensions could be studied to better understand destination competitiveness. This study's shortcomings suggest various potential research directions. First, comparative research across regions and destinations would help determine the generalizability and
Zaman 815 contextual variations of digital tourism hackathons, tourist value co-creation, and destination competitiveness. This could illuminate the elements that affect these tactics' success in different environments. Qualitative research methods like in-depth interviews or focus groups can supplement quantitative findings by revealing stakeholders' perspectives on digital tourism hackathons, reward-based crowdfunding, and tourism value co-creation. Qualitative studies can reveal these practices' methods, motivations, and problems. Future studies could examine how artificial intelligence, virtual reality, and blockchain affect digital tourism hackathons and destination competitiveness. Both academia and business are interested in using these technologies to generate unique tourism experiences, facilitate value co-creation, and boost destination competitiveness. Finally, given the tourist industry's dynamic character, longitudinal studies of digital tourism hackathons, reward-based crowdfunding, and tourism value co-creation on destination competitiveness might be useful. This would show how these strategies last. This study helps us comprehend digital tourism hackathons, tourist value co-creation, and destination competitiveness, however it has limits. Scholars and practitioners may promote digital tourism and help tourist places flourish and compete by addressing these limitations and pursuing the suggested future research directions. 5.3 Conclusion The study's findings shed light on the impact of digital tourism hackathons and rewardbased crowdfunding in shaping destination competitiveness. The findings show that digital tourism hackathons have a considerable positive influence on destination competitiveness, demonstrating their potential as effective tools for destination management and promotion. Furthermore, the favorable association between reward-based crowdfunding and destination competitiveness emphasizes the necessity of including tourists and other stakeholders in destination creation and enhancement. The function of tourism value co-creation as a mediator between digital tourism hackathon and destination competitiveness emphasizes the importance of collaborative efforts and value co-creation in the tourist sector. This research implies that encouraging tourists' and stakeholders' active participation and involvement in the destination development process can lead to greater competitiveness and sustainability. It also corresponds with social exchange theory, highlighting the necessity of reciprocal interactions between tourists and locations. This study's theoretical implications include expanding our understanding of innovation diffusion theory, stakeholder theory, and social exchange theory in the context of digital tourism and destination competitiveness. This work contributes to the applicability and relevance of these theories in the tourism area by empirically confirming the links provided by these theories. The findings also offer light on the methods by which digital initiatives and crowdfunding might impact destination competitiveness, allowing for a more nuanced view of the underlying processes.
Digital Tourism ‘Hackathon’, Value Co-creation and Destination Competitiveness 816 The conclusions of this study have practical consequences for destination management organizations, policymakers, and industry practitioners. The favorable impact of digital tourism hackathons and reward-based crowdfunding indicates that investing in digital innovation and leveraging crowdfunding platforms might boost tourist destinations' competitiveness. These findings can help to shape strategic efforts and policies targeted at stimulating innovation, involving stakeholders, and improving the overall tourism experience. While the findings of this study add to the current literature, significant limitations must be acknowledged. To begin, the research was done in specific places (Dubai and Abu-Dhabi), which may limit the findings' generalizability to other contexts. Future study should look into broadening the sample to encompass a broader range of places. Second, the study relied on self-reported data, which is prone to method bias. To collect more thorough and objective data, future studies could use a combination of qualitative and quantitative methodologies. Finally, this study emphasizes the importance of digital tourism initiatives and crowdfunding in increasing destination competitiveness. The findings emphasize the importance of digital tourism hackathons and reward-based crowdfunding in altering the tourism environment and encouraging destination development. This study gives useful insights into the collaborative processes that contribute to destination competitiveness by stressing the mediating function of tourism value co-creation. This study's theoretical implications and practical recommendations can guide future attempts to leverage digital technology and crowdfunding platforms to improve the competitiveness and sustainability of tourist destinations. Research Funding The authors received no research grant or funds for this research study. REFERENCES Abuelenain, E. A. (2021). The Role of Tourism Innovation in Selecting Potential Tourist Destinations: The Case of UAE. International Journal of Heritage, Tourism and Hospitality, 15(2), 20-33. Ahn, Y.-j., & Bessiere, J. (2023). The Relationships between Tourism Destination Competitiveness, Empowerment, and Supportive Actions for Tourism. Sustainability, 15(1), 626. Akin, M. H., Ozturk, Y., & Karamustafa, K. (2022). A comparative perspective on destination competitiveness through visitors' and stakeholders' perceptions in the region of Cappadocia. Journal of Hospitality and Tourism Insights, 5(5), 966-986. Albaom, M. A., Sidi, F., Jabar, M. A., Abdullah, R., Ishak, I., Yunikawati, N. A., . . . Ali, D. A. (2022). The moderating role of personal innovativeness in tourists’ intention to use
Zaman 823 Shaikh, F., Afshan, G., Anwar, R. S., Abbas, Z., & Chana, K. A. (2023). Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well‐being. Asia Pacific Journal of Human Resources, 61(4), 794- 820. Sigler, D., Wang, Q., Liu, Z., Garikapati, V., Kotz, A., Kelly, K. J., . . . Phillips, C. (2021). Route optimization for energy efficient airport shuttle operations–A case study from Dallas Fort worth International Airport. Journal of Air Transport Management, 94, 102077. Simanjuntak, M. (2022). Toba Tourism Destination Marketing Management Through Planning Land Transportation Co-Design. International Journal of Economics, Finance and Management Sciences, 10(6), 331-339. Stafford, L., & Kuiper, K. (2021). Social exchange theories: Calculating the rewards and costs of personal relationships Engaging theories in interpersonal communication (pp. 379-390): Routledge. Strazzullo, S., Cricelli, L., Grimaldi, M., & Ferruzzi, G. (2022). Connecting the path between open innovation and industry 4.0: a review of the literature. IEEE Transactions on Engineering Management. DOI: 10.1109/TEM.2021.3139457. Subawa, N. S., Widhiasthini, N. W., Astawa, I. P., Dwiatmadja, C., & Permatasari, N. P. I. (2021). The practices of virtual reality marketing in the tourism sector, a case study of Bali, Indonesia. Current Issues in Tourism, 24(23), 3284-3295. Sufi, T. (2022). Imparting industry 4.0 skills to tourism and hospitality graduates through Hackathons The Emerald handbook of destination recovery in tourism and hospitality (pp. 45-70): Emerald Publishing Limited. Sunandar, A., Pratama, A., Handayani, A., & Fertilia, N. C. (2022). Analysis of Tourism Village Development Infrastructure in Five Super Priority Destinations on Tourist Satisfaction. ADRI International Journal of Civil Engineering, 7(1), 118-123. Szromek, A. R., Walas, B., & Kruczek, Z. (2022). The Willingness of Tourism-Friendly Cities’ Representatives to Share Innovative Solutions in the Form of Open Innovations. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 112. Tao, K., Ye, J., Xiao, H., & Chen, P. (2022). A model of perceived co-creation value in tourism service setting: an application of structure equation modeling. Frontiers in Psychology, 13, 808114. Temiz, S. (2021). Open innovation via crowdsourcing: a digital only hackathon case study from Sweden. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 39. Tran, N. L., & Rudolf, W. (2022). Social Media and Destination Branding in Tourism: A Systematic Review of the Literature. Sustainability, 14(20), 13528.
Digital Tourism ‘Hackathon’, Value Co-creation and Destination Competitiveness 824 Tse, S., & Tung, V. W. S. (2022). Measuring the valence and intensity of residents’ behaviors in host–tourist interactions: Implications for destination image and destination competitiveness. Journal of Travel Research, 61(3), 565-580. Walker, T. B., Lee, T. J., & Li, X. (2021). Sustainable development for small island tourism: developing slow tourism in the Caribbean. Journal of Travel & Tourism Marketing, 38(1), 1-15. Wang, S., Yeoh, W., Ren, J., & Lee, A. (2022). Learnings and implications of virtual hackathon. Journal of Computer Information Systems, 62(3), 547-559. Wang, Z., Yang, L., & Hahn, J. (2022). Winner Takes All? The Blockbuster Effect on Crowdfunding Platforms. Information Systems Research, 34(3), 935-960. Wei, D. (2022). Gemiverse: The blockchain-based professional certification and tourism platform with its own ecosystem in the metaverse. International Journal of Geoheritage and Parks, 10(2), 322-336. Wessel, M., Gleasure, R., & Kauffman, R. J. (2021). Sustainability of rewards-based crowdfunding: A quasi-experimental analysis of funding targets and backer satisfaction. Journal of Management Information Systems, 38(3), 612-646. Wood, A. G. (2021). The business of leisure: Tourism history in Latin America and the Caribbean: University of Nebraska Press. Wu, M.-Y., Wu, X., Li, Q.-c., Wang, J., & Wang, Y. (2022). Justice and community citizenship behavior for the environment: small tourism business entrepreneurs’ perspectives. Journal of Sustainable Tourism, 1-18. Xiang, Z., Fesenmaier, D. R., & Werthner, H. (2021). Knowledge creation in information technology and tourism: a critical reflection and an outlook for the future. Journal of Travel Research, 60(6), 1371-1376. Xie, X., Sun, H., Gao, J., Chen, F., & Zhou, C. (2021). Spatiotemporal differentiation of coupling and coordination relationship of tourism–urbanization–ecological environment system in China’s major tourist cities. Sustainability, 13(11), 5867. Xu, J., & Au, T. (2023). Destination competitiveness since 2010: research themes, approaches, and agenda. Tourism Review, 78(3), 665-696. Xu, T., & Lu, C. (2023). Does tourism mental fatigue inhibit tourist citizenship behavior? The role of psychological contract breach and boundary conditions. Journal of Hospitality and Tourism Management, 55, 59-69. Yan, G., Zou, L., Liu, Y., & Ji, R. (2022). How does new infrastructure impact the competitiveness of the tourism industry? Evidence from China. Plos one, 17(12), e0278274.
Zaman 825 Yang, C., Yan, S., Wang, J., & Xue, Y. (2022). Flow Experiences and Virtual Tourism: The Role of Technological Acceptance and Technological Readiness. Sustainability, 14(9), 5361. Yodchai, N., Ly, P. T. M., & Tran, L. T. T. (2022). How the creative mindset affects entrepreneurial success in the tourism sector: the mediating role of innovation capability. International Journal of Contemporary Hospitality Management, 34(1), 279-298. Yuan, Q., & Gasco-Hernandez, M. (2021). Open innovation in the public sector: creating public value through civic hackathons. Public Management Review, 23(4), 523-544. Zeng, L., Li, R. Y. M., & Huang, X. (2021). Sustainable mountain-based health and wellness tourist destinations: The interrelationships between tourists’ satisfaction, behavioral intentions, and competitiveness. Sustainability, 13(23), 13314. Zhang, H., Cheng, Z., & Chen, X. (2022). How destination social responsibility affects tourist citizenship behavior at cultural heritage sites? Mediating roles of destination reputation and destination identification. Sustainability, 14(11), 6772. Zhang, M., Xiong, K., Wang, X., & Zhao, X. (2022). Natural beauty and esthetic value of natural world heritage sites: a literature review and implications for Karst Geoheritage Sites. Geoheritage, 14(3), 84. Zhang, Y., Sotiriadis, M., & Shen, S. (2022). Investigating the Impact of Smart Tourism Technologies on Tourists’ Experiences. Sustainability, 14(5), 3048.