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The physical filmmaking landscape has been transformed by the emergence of digital platforms that foster interaction and dialogue. The accessibility and affordability of mobile production tools have empowered anyone with a mobile phone to become a media content creator. Accordingly, this paper aims to present a multi-method approach for creating phygital projects that involve people as active participants rather than mere subjects who collaborate with the researchers to tell their stories.

Research participants can embrace diverse roles, serving as co-researchers, content creators, curators and collaborators. The authors use various engagement strategies with the research participants, who are often marginalized or underrepresented, to encourage their participation and give them agency and creative control. Thus, we also use a participatory action research approach to help advocate for the participants’ facial equality concerns.

Collaborative videography embraces the mosaic of voices expressing intricate social issues. In this project, research participants with “facial differences” explain their experiences in facing society.

By experimenting with participatory frameworks and combining physical interactions (such as in-person meetings) with digital platforms like Zoom and social media, the authors suggest a multi-method approach that honors the authentic stories of the research participants, effectively engages the audience and explains how phygital research methodologies can be used in interpretive consumer research, particularly in co-creating films that capture strong visuals.

Energy conservation and environmental protection industry (ECEPI) is a strategic choice to promote energy conservation and emission reduction, develop green economy and circular economy. However, China’s ECEPI is still in the stage of rapid development and the overall scale is relatively small, what development periods have the ECEPI experienced? This study aims to contribute to a better understanding of collaborative innovation evolution based on social network analysis from the perspective of multi-dimensional proximity.

Methodologically, this study uses social network analysis method to explore the co-evolution of multidimensional collaboration networks. It divides China’s ECEPI into four periods based on national policies from 2001 to 2020. This contribution constructs collaborative innovation networks from geographical, technological and organizational proximity.

The results show that the collaborative innovation network was initially formed in the central region of China, gradually expanded to neighboring cities and the core positions of Beijing, Jiangsu and Guangdong have been continuously consolidated. C02F has been the core of the collaboration networks, and the research focus has gradually shifted from the treatment of wastewater, sewage or sludge to the separation field. Enterprises always occupy a dominant position in the collaboration networks.

This research investigates the dynamic evolution process of collaborative innovation network in China’s ECEPI from the perspective of multidimensional proximity, explores the community structure, important nodes and multidimensional proximity features in the network, expands the research perspective on evolution characteristics of innovative network and the research field of social network analysis. Theoretically, this study enriches collaborative innovation theory, social network theory and multi-dimensional proximity theory.

The purpose of this paper is to investigate the impact of two dimensions of technological relatedness, namely technological similarity and complementarity, on collaborative performance, plus the mediating role of collaboration network stickiness and the moderating role of partner expertise and geographical distance in interfirm collaboration contexts.

This study takes Chinese Scientific and Technological Achievements (STA) of inter-firm collaboration in five high-tech fields in 2010–2020 as the sample and uses OLS regression to test the hypothesis.

Technological similarity and complementarity positively affect collaborative performance. Partner expertise negatively moderates the relationship between similarity, complementarity and collaborative performance. Geographical distance positively moderates the relationship between similarity and collaborative performance while negatively moderates that between complementarity and collaborative performance. Collaboration network stickiness partly mediates the relationship between similarity and collaborative performance.

This study expands literature on inter-firm collaboration, especially research on the antecedents of collaborative performance. Moreover, this study not only compensates for lack of empirical analysis in partner selection research, but also utilizes second-hand data to enhance the objectivity of analysis. Additionally, we enrich the research on the moderating role of partner expertise and geographical distance as well as the mediating role of collaboration network stickiness.

Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.

Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.

Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.

We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.

The purpose of this study was to examine the application of the collaborative research supervision approach (CRSA) to learning projects in higher education, using socialisation, externalisation, combination and internalisation (SECI) dimensions. The study, therefore, examined how these dimensions assisted learners in Botswana's higher education to generate research knowledge.

The study used a mixed-method research approach and exploratory research design. Purposive sampling was used to examine how the CRSA dimensions were employed in a classroom of 111 higher education learners who were carrying out research projects. Out of this population, 97 responded to a questionnaire, and 14 learners participated in a face-to-face interview. One hundred and eleven research documents produced by learners were analysed, and 42 observations were conducted.

The study found that the four dimensions of CRSA assist greatly in the development of knowledge of the research processes. This study confirms that the CRSA in higher education institutions has the potential to enhance research knowledge and skills, build learners' confidence in research, engage in learning, reduce workload, reduce the frustration of doing research and help learners complete their work in time. Learners with weak research skills easily catch up with their average-performing peers.

It is important to recognise the methodological limitations of this study. The study used a mixed method and a single case. As a result, the results' significance cannot be justified. Additionally, the context and methodology restrict the findings' generalisability. There is obviously potential for additional cases since this article only offers a preliminary analysis of the single case issue. Consequently, the study recommends that yet another study could be conducted to check if the approach could be used for graduate learners. Another study could also be conducted to check if the approach could be used as a supervisory approach that can provide prospects for knowledge sharing and creating learning in an organisation.

The study discovered that when properly implemented, CRSA arrangement enhances research knowledge development and reduces the workload for both the supervisor and the student. When choosing this desired research supervision approach, either in terms of policy or in actual practice, it is important to take the potential for information exchange into account. This might result in improved research supervision efficacy in higher education and hence the production of better quality graduate learning projects.

This study recommends the use of the CRSA in higher education, so as to help learners with weak research skills, to collaboratively work with learners with high and average research skills. It also improves the quality of supervisor–learner learning relationship.

The research results were given to participants and respondents for approval to find out if what was written was what they said. The research results were also given to colleagues to check whether the analysis is balanced and fair and to check biases and exaggerations.

This research aims to explore the research data ethics governance framework and collaborative network to optimize research data ethics governance practices, to balance the relationship between data development and utilization, open sharing, data security and to reduce the ethical risks that may arise from data sharing and utilization.

This study explores the framework and collaborative network of research data ethics policies by using the UK as an example. 78 policies from the UK government, university, research institution, funding agency, publisher, database, library and third-party organization are obtained. Adopting grounded theory (GT) and social network analysis (SNA), Nvivo12 is used to analyze these samples and summarize the research data ethics governance framework. Ucinet and Netdraw are used to reveal collaborative networks in policy.

Results indicate that the framework covers governance context, subject and measure. The content of governance context contains context description and data ethics issues analysis. Governance subject consists of defining subjects and facilitating their collaboration. Governance measure includes governance guidance and ethics governance initiatives in the data lifecycle. The collaborative network indicates that research institution plays a central role in ethics governance. The core of the governance content are ethics governance initiatives, governance guidance and governance context description.

This research provides new insights for policy analysis by combining GT and SNA methods. Research data ethics and its governance are conceptualized to complete data governance and research ethics theory.

A research data ethics governance framework and collaborative network are revealed, and actionable guidance for addressing essential aspects of research data ethics and multiple subjects to confer their functions in collaborative governance is provided.

This study analyzes policy text using qualitative and quantitative methods, ensuring fine-grained content profiling and improving policy research. A typical research data ethics governance framework is revealed. Various stakeholders' roles and priorities in collaborative governance are explored. These contribute to improving governance policies and governance levels in both theory and practice.

The purpose of this paper is to develop a model considering synergy effect for prefabricated construction service combination selection.

This research defines prefabricated construction service as a service-led construction method that meets the specific requirements of clients. Based on network theory, the multi-dimensional collaborative relationships of the prefabricated construction inter-services are formulated. The synergy effect is quantitatively calculated through the linear weighting of the strengths of collaborative relationships. Further, a weighted synergy network (WSN) is developed, from which a service composition selection model considering the synergy effect is established. Then, a genetic algorithm is employed to implement the model.

The results showed that (1) when the number of prefabricated construction services is increased, the synergy effect of combination options is enhanced; (2) The finer-grained prefabricated construction services, the stronger the synergy effect of service combination; (3) Clients have heterogeneous preferences for collaborative relationships, and there are differences in the synergy effect of service combination.

The contribution of this research includes proposed a method to quantify the synergy effect from the perspective of collaborative relationships, explored the specific procedure for the prefabricated construction service combination selection under the service-led construction, and provided a reference for promoting the development in construction. Besides, the model proposed could be applied to prefabricated construction service composition selection with diverse research boundaries or client preferences by executing the same procedure.

This study aims to explore the research internationalization process in Georgia, one of the post-Soviet countries. Specifically, it examines the individual-level reasons that motivate faculty at Georgian universities to engage in the process of research internationalization. It also unpacks scholars’ perspectives on the driving factors for selecting the key partners in international research.

Sixteen faculty members for this exploratory qualitative study were selected through stratified purposeful sampling from five higher educational institutions in Georgia. Participants were asked to discuss their participation in international research projects and underline the activities and events that motivated them to participate in international collaborative projects. The critical incident method was used to analyze our qualitative data collected through semi-structured interviews.

The research revealed that faculty at Georgian universities are more oriented toward collaboration with their peers from European countries and the USA. This preference is influenced by such factors as higher quality of science, higher level of freedom and autonomy, personal contacts and networks, as well as language competencies. The data also helped to unpack Georgian scholars’ individual-level rationales that were conceptualized into three domains: human capital, financial capital and physical capital.

This study is an original work conducted in Georgia. It contributes to the development of the field of internationalization of research. The three-domain conceptual framework on the individual-level rationale for internationalization can be used in future research on post-Soviet countries and beyond.

This conceptual paper seeks to critically evaluate and illuminate the diverse autoethnographic methodologies that are pivotal for understanding the dynamics of contemporary workspaces. The objective is to contribute to the ongoing scholarly debate on the value of autoethnography in workplace research and explore how it can shed light on complex organizational phenomena.

The paper adopts a narrative literature review approach, focusing on four main forms of autoethnography: realist, impressionistic, expressionistic and conceptualistic autoethnographies. Each form is discussed and dissected, emphasizing their specific sub-forms and illustrating their application through representative examples. The paper engages in a critical debate on utilizing autoethnography in workplace research.

The findings illuminate how autoethnographic methods can be used to gain nuanced and complex understandings of personal experiences situated in workplace culture, as well as how broader social and cultural contexts shape these experiences. The study also highlights the potential of these methods to explore marginalized and silenced stories within workplaces and contribute to the knowledge on power dynamics, inequalities and injustices embedded in the organizational culture.

The following contribution discusses approaches for conducting autoethnographic explorations of selected work environments, offering researchers valuable insights into these methods' application. Through better comprehension and application of these methodologies, researchers can enhance their contribution toward cultivating more inclusive and equitable workplace environments.

The paper stands out in its extensive review and critical discussion of the autoethnographic methods as applied in workplace research. It expands upon individual autoethnographic studies by providing a comprehensive, multifaceted perspective, delving into the merits and limitations of these approaches in particular context of researching contemporary places of work.