The method and scope of open innovation exchange in tourist destinations – Analysis of the opinions of tourism experts from Prague and Cracow

Szromek, Adam R.; Kruczek, Zygmunt; Walas, Bartłomiej; Polok, Grzegorz

doi:10.1016/j.joitmc.2023.02.002

Cited by 10 publications

(9 citation statements)

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“…This problem has not been addressed by researchers so far, therefore the research results described in the article contribute to the recognition of opinions on the acceptance of these substitutes and the use of this knowledge in the implementation of innovative forms of tourism management in protected areas. Due to their structure, these solutions should adopt a social dimension, and at the same time be open to their universal access ( Szromek et al, 2022 , Szromek et al, 2023 ). Therefore, at this point it is worth introducing the concept of Open Social Innovation (OSI), which in this regard is becoming a key perspective of the observed social changes.…”

Section: Alternative Behaviors Of Tourists and Open Social Innovationsmentioning

confidence: 99%

Visiting national parks during the COVID-19 pandemic - an example of social adaptation of tourists in the perspective of creating social innovations

Kruczek

Szromek

Jodłowski

et al. 2023

Journal of Open Innovation: Technology, Market, and Complexity

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Section: Alternative Behaviors Of Tourists and Open Social Innovationsmentioning

confidence: 99%

Visiting national parks during the COVID-19 pandemic - an example of social adaptation of tourists in the perspective of creating social innovations

Kruczek

Szromek

Jodłowski

et al. 2023

Journal of Open Innovation: Technology, Market, and Complexity

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“…Levels of Collaboration (Johnston, 2021); (Baban, Baban and Rangone, 2021b) (Băban and Băban, 2022); (Băban, Băban and Mitran, 2023); (Johnston, 2022); ; (Zhao, 2023); (Han et al, 2019); (Ponce, Polasko and Molina, 2021); (Rostoka, Locovs and Gaile-Sarkane, 2019); (Audretsch et al, 2023); (Tomita, 2022); (Koria et al, 2022); (de Araujo et al, 2020); (Huggins, Prokop and Thompson, 2020); (Campana et al, 2020) Policy Open innovation policy (Baban, Baban and Rangone, 2021b); (Johnston, 2022); (Szromek et al, 2023); (de Araujo et al, 2020) 6 Performance Patents/Intellect ual Property Rights…”

Section: Motivesmentioning

confidence: 99%

“…The role of government is to provide funds (Ponce et al, 2021;Campana et al, 2020) and to formulate policies on open innovation that involve collaboration between partners (Szromek et al, 2023).…”

Section: Rq 2 What Are the Latest Technologies Used In University Col...mentioning

confidence: 99%

“…The implementation of open innovation policies must involve all stakeholders (Baban, Baban and Rangone, 2021b). From a government perspective, policymakers need to review the role of state universities in society and concentrate on establishing an ideal organizational structure at the national and regional levels involving various interested parties (Szromek et al, 2023).…”

Section: Rq 2 What Are the Latest Technologies Used In University Col...mentioning

confidence: 99%

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A Systematic Literature Review on University Collaboration in Open Innovation: Trends, Technologies, and Frameworks

Fitriasari,

Sensuse,

Hidayat

et al. 2024

EJKM

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Open innovation is a concept of collaboration of ideas, knowledge, and resources that originates from within the organization and involves external organizations. University-industry collaboration is a factor driving innovation and competitiveness. Most research on interactions between universities and industry concentrated on the industrial side meanwhile, universities, as knowledge producers, play a vital role in creating an open innovation ecosystem that encourages realizing innovations that benefit society. Therefore, the problem raised in this research is how university collaboration can support open innovation. This research aims to identify research trends, the latest technologies, and inter-university collaboration frameworks that can support open innovation. The methodology used is Kitchenham's Systematic Literature Review (SLR) and bibliometric. SLR consists of Identification Study, Selection Studies, Quality Assessment, Data Extraction and Study Synthesis. From the SLR stages, 21 papers published between 2019 and 2023 were obtained. Synthesis and additional literature review were carried out to identify trends, technologies, and frameworks related to the topic comprehensively. In terms of trend, based on the application bibliometric, it was found that there was an increase in the number of publications and the top list of open innovation journals. University collaboration in open innovation more frequently takes place in the UK, and the industries mostly involved are small-medium enterprises. Quantitative research methodology and data analyses, comprising of hypothesis test, regression test, and descriptive statistics, are mostly preferred. Meanwhile, descriptive data analysis is the most common means of qualitative data analysis. Numerous suggestions on topics for future research were also identified. In addition, data analysis using machine learning survival data is identified as a novelty among data analysis methods. Technology transfer and the use of digital platforms may support open innovation processes, and the use of blockchain technology may promote digital platforms development. Seven domains form the framework for university collaboration in open innovation, namely Social Behavior, People, Process, Organization, Environment, Technology, and Performance. The findings of trends, technologies, and frameworks in this research may serve as a foundation for research on similar topics, and the identified framework domains could serve as framework components that might be used by universities to collaborate with partners in implementing open innovation processes. The research have contributes to knowledge management theoretically and practically. Theoretically, open innovation can expand the knowledge base by supporting the concept that knowledge and expertise can be found outside organizational boundaries. Practically, it can enrich knowledge management practices by emphasizing the importance of utilizing digital platform technology in supporting knowledge management sourced from external knowledge and collaboration services in the open innovation process.

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“…Brand diffusion is a complex and dynamic process that is systematic and unpredictable. While prior research has focused on specific aspects of brand diffusion, such as brand events (Luo and Zhai, 2017), opinion leaders (Szromek et al , 2023) and brand image (Barreda et al , 2020; Wisker et al , 2023), these studies have not yet provided a systematic portrayal of the entire process of brand diffusion and formation. Moreover, WHSs own distinct historical and cultural characteristics, and scholars have recognized the importance of WHSs’ brand diffusion (Hassan et al , 2021; Lanen et al , 2022).…”

Section: Introductionmentioning

confidence: 99%

Understanding the world heritage sites’ brand diffusion and formation via social media: a mixed-method study

Wang

Liu

SUN

et al. 2023

IJCHM

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Purpose Building on social media and destination brand-related literature, this study aims to explore World Heritage Sites’ (WHSs) brand diffusion and formation process from long-term and short-term perspectives, which includes brand diffusion, user-generated content (UGC), opinion leaders and brand events’ impact. Design/methodology/approach This study uses a mixed-method including text mining, keyword analysis and social network analysis to explore the brand formation process of four popular WHSs in Beijing, namely, the Palace Museum, Great Wall, Summer Palace and Temple of Heaven and more than 10,000,000 users’ data on Sina Weibo has been implemented to uncover the underlying social media branding mechanism. Findings The results show that the number of postings keeps in a stable range in most months, but, in general, there are no common rules for changing trends among the four WHSs; long-term high-frequency keywords related to history and culture account for a higher percentage; different kinds of accounts have varying impacts on information diffusion, in which media accounts lead to a bigger influence. However, more followers do not necessarily mean more interactions and most of the interaction ratio is much lower than 0.01000; brand events facilitate brand dissemination and have an impact on the creation of UGC. Practical implications This study is valuable for destination marketers to deeper understand brand diffusion and formation and provides valuable insights for developing effective destination marketing strategies. Originality/value Unlike previous studies that only concern a few parts of destination brand formation via social media (e.g. brand diffusion, brand events or opinion leaders’ impact), this study takes a more comprehensive perspective by systematically analyzing the brand formation process of WHSs on social media. By considering both long-term diffusion and short-term representative events, this study provides a more holistic understanding of the branding mechanism.

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The method and scope of open innovation exchange in tourist destinations – Analysis of the opinions of tourism experts from Prague and Cracow

Cited by 10 publications

References 50 publications

Visiting national parks during the COVID-19 pandemic - an example of social adaptation of tourists in the perspective of creating social innovations

Visiting national parks during the COVID-19 pandemic - an example of social adaptation of tourists in the perspective of creating social innovations

A Systematic Literature Review on University Collaboration in Open Innovation: Trends, Technologies, and Frameworks

Understanding the world heritage sites’ brand diffusion and formation via social media: a mixed-method study

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