ACWA Workshop Strengthens Sustainable Tourism Research Methods for High-Impact Publications

Acwa-network - The Association for Collaboration in Worldwide Academia (ACWA), in collaboration with the Silk Road International Research Institute and Silkroad Research Network, successfully organized the Workshop Training: Contemporary Tourism Research Methodologies on Friday, July 31, 2026. Carrying the theme “Leveraging AI, NVivo, Bibliometric Analysis, Mixed Methods, and Big Data Analytics for Sustainable Tourism and High-Impact Publications,” the workshop brought together academics, researchers, and practitioners from different countries and institutions. The program served as an international academic platform to strengthen research capacity in tourism studies, particularly in responding to rapid methodological and technological transformation. In his opening remarks, Sukrob Babaev, President of ACWA, emphasized that tourism research is changing quickly and requires more advanced approaches. He noted that researchers today are expected to work with larger volumes of data, understand digital behavior, combine qualitative and quantitative methods, and use artificial intelligence responsibly. “Tourism research is changing very quickly. It is no longer enough to collect information, describe a destination, or simply present statistics,” he said. Advancing Tourism Research Methods The workshop highlighted the growing need for contemporary research methodologies in tourism. Tourism is no longer viewed only as sightseeing, travel, or economic activity. It is increasingly connected to cultural heritage, community development, sustainability, digital mobility, social responsibility, and global competitiveness. Through this workshop, ACWA encouraged researchers to move beyond conventional methods and adopt more rigorous, transparent, and data-supported approaches. The event also underlined that sustainable tourism research requires methods capable of capturing complex realities, from tourist behavior and destination preferences to local community perspectives and environmental challenges. Three speakers contributed to the academic discussion, namely Bobur Sobirov, an independent researcher from Silk Road, and two academics from Universitas Dian Nuswantoro, Indonesia, Izza Ulumuddin Ahmad Asshofi and Dr. Imang Dapit Pamungkas. Their sessions collectively emphasized that contemporary tourism studies require not only strong theoretical foundations, but also practical methodological competence. Researchers are expected to identify research gaps, develop novelty, process complex data, and produce findings that are useful for policymakers, communities, and tourism industry actors. Integrating Technology With Rigor A major focus of the workshop was the use of AI, NVivo, bibliometric analysis, mixed methods, and big data analytics. These tools were presented as important instruments for improving research efficiency, transparency, and publication quality. AI can support researchers in literature synthesis, evidence extraction, interview guide development, data cleaning, and preliminary coding. It may also help organize tourism-related digital data, such as online reviews, ratings, visitor comments, and destination preferences. However, the workshop also reminded participants that AI cannot replace scholarly judgment. AI may produce inaccurate information, miss local context, or fail to understand cultural meaning. Therefore, researchers remain responsible for interpretation, critical thinking, validation, and theoretical discussion. NVivo was introduced as a crucial tool for qualitative research. It helps researchers organize interview transcripts, documents, narratives, focus group discussions, and community-based data. More importantly, NVivo supports transparency by providing an audit trail, allowing codes, themes, and interpretations to be traced back to original sources. Bibliometric analysis also received strong attention. This method helps researchers map scientific trends, identify influential authors and journals, discover research gaps, and position their work within global academic conversations. Meanwhile, mixed methods allow researchers to combine statistical patterns with deeper qualitative insights. Big data analytics further expands the scope of tourism research. In the digital era, tourism activities generate large-scale data through booking platforms, social media, online reviews, and mobility systems. These data can support more informed decision-making for sustainable tourism development. Building Global Academic Collaboration Beyond methodology, the workshop also reflected ACWA’s broader mission to build meaningful international academic collaboration. Sukrob Babaev emphasized that strong research must be supported by strong communication and networking. “Communication, communication, and again communication is very important. A good analysis without communication will only become a one-time result that cannot be implemented,” he stated. Through this program, ACWA aims to connect researchers, specialists, and experts across institutions. The workshop was designed not only as a training session, but also as a space for academic exchange, professional networking, and future collaboration. The event also encouraged participants to treat methodology as part of research excellence. To produce high-impact publications, researchers need clear questions, credible data, strong analytical tools, transparent procedures, and responsible interpretation. By combining technological innovation with human academic rigor, the workshop provided an important contribution to sustainable tourism research. It encouraged researchers to produce studies that are not only publication-ready, but also relevant, ethical, and useful for real-world tourism development. ACWA hopes that this workshop will continue as a regular academic tradition, expanding future discussions across broader fields and strengthening global knowledge exchange.