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This study aims to explore the innovative governance structures enabled by blockchain-based decentralized autonomous organizations (DAOs) in the context of international business (IB). As nonhierarchical entities managed through collective voting and peer-to-peer interactions, DAOs challenge traditional assumptions of multinational corporation (MNC) governance.

The authors perform a literature review, which combines qualitative content analysis of both academic papers on DAO and whitepapers with quantitative analysis of bibliometrics using VosViewer.

The findings highlight DAOs’ ability to generate new research questions and offer a foundation for future studies on decentralized governance in IB. Through a bibliometric analysis of 73 papers from Web of Science and qualitative content analysis, the authors identify four primary research streams in the DAO literature. A deep dive into financial DAOs, or DeFi DAOs, reveals insights into their governance mechanisms and implications for the studies in the field of IB.

Research on DAOs is in its early stages, and the practice in IB is nascent. As the regulatory, economic and technological landscape for DAOs changes, more research will be needed on the governance mechanisms and their sustainability.

This paper advances the field by providing a multilevel analysis of DAOs’ potential impact on IB, considering macro (country), meso (MNC/DPE) and micro (multicultural team and individual) levels.

This study aims to develop an analytical model for generating relational rent within network organizations and to establish a comprehensive framework for the allocation of such rent.

The design stage involves the formulation of integrated computer-aided manufacturing definition (IDEF0) methodologies. The construction stage comprises the detailed elaboration of three distinct stages for rent allocation methods.

The “relational rent” perspective has illustrated that firms create value and distribute rent within network organizations by identifying partners with complementary resources, establishing high levels of robust informal trust, sharing knowledge and making customized investments tailored to their partners’ needs.

This innovative approach, for the first time, sheds light on the path for managers to secure the stability of network organizations by implementing multiple iterations of benefit distribution. However, it remains an area lacking standardized guidelines for decision-makers. Essentially, our paper pioneers the endeavor, marking the inaugural step toward ensuring network organization stability through profit distribution decisions. Additionally, it constitutes the initial attempt to bridge the gap between qualitative analysis and a quantitative profit distribution framework.

This rent allocation method unequivocally highlights the importance of efficient allocation within network organizations, emphasizing the streamlining of the allocation process and thus substantiating the rationality of the proposed method.

Virtual idols have entered the golden period as the main form of future digital people. However, existing studies only focus on a single idol type and partial role relationships related to virtual idols, lacking synthesized insights. To address these gaps, this paper summarizes different types of virtual idols and all role relationships to achieve a comprehensive literature review.

Based on the business ecosystem theory, this paper constructs a business role ecosystem framework for virtual idols from the two subsystems of value co-creation and value realization.

Firstly, we extract common characteristics and the generalized definition applicable to diverse idol types. Secondly, we find that there are commonalities and differences in the significant characteristics of virtual idols in different application fields. Thirdly, literature in the value co-creation subsystem mainly focuses on co-creation mechanisms in the role relationship between idols and demanders (RRID). A few focus on virtual idols’ constructions in the role relationship between producers and idols (RRPI) and co-creation phenomena in the role relationship between demanders and producers (RRDP). Finally, literature in the value realization subsystem mainly focuses on consumer attitudes and realization mechanisms in RRID. A few focus on realization phenomena in the role relationship between producers and tripartite enterprises (RRPT) and RRPI.

This paper points out future implementing directions of industry practitioners, gives strategies to promote economic value realizations and emphasizes the importance of cultural communication.

This paper discusses the existing theoretical gaps and possible future research directions regarding characteristics, applications and role relationships.

A qualitative approach based on grounded theory was utilized, with data collected through 26 semi-structured interviews with social entrepreneurs. Alas’s Triangular Model provided the framework for data analysis and interpretation.

This study explores how Hong Kong social enterprises approached crisis and change management during the COVID-19 pandemic, examining their resilience-building strategies.

The pandemic triggered an existential crisis for many social enterprises, causing severe revenue losses. However, strong leadership and cultures based on social mission enabled resilience. Enterprises demonstrated agility by rapidly transitioning operations online and establishing partnerships. Technology adaptation and social innovation were pivotal to sustaining impact.

As the sample comprises enterprises that survived the pandemic, insights into failed enterprises are lacking. Comparative analysis could illuminate differences in crisis response between successful and unsuccessful cases.

The study’s practical implications suggest that social enterprises should focus on developing flexible crisis management plans, cultivating purposeful leadership, embracing digital transformation, strengthening collaborative networks and prioritizing organizational learning to effectively navigate crises while staying true to their social missions.

Findings demonstrate how shared values and cultures grounded in purpose can anchor organizations amidst upheaval, fostering resilience. This underscores the role of social enterprises in modeling responsiveness to societal needs.

While research has examined social enterprises’ vulnerability in crises, investigation into their crisis management practices is limited. This study enriches understanding of how social enterprises effectively navigate turbulence.

This study investigates organizations' non-adoption intention towards the enterprise metaverse. The innovation resistance theory (IRT) is used as an underpinning theory to examine the impact of various risks on non-adoption intention towards the enterprise metaverse.

A total of 294 responses were collected to examine the proposed hypotheses. A structural equation modelling technique was used to investigate the hypotheses using SPSS AMOS and PROCESS MACRO.

The results of this study reveal that performance, security and psychological risks are significantly associated with non-adoption intention towards enterprise metaverse. Further, distrust significantly meditates the association between performance risk, social risk, technological dependence risk, security risk and psychological risk and non-adoption intention towards enterprise metaverse. Moreover, the results of moderated-mediation hypotheses indicate that the mediating effect of distrust on the association among performance risk, social risk, psychological risk and non-adoption intention towards enterprise metaverse is higher for individuals having high technostress compared to individuals having low technostress.

The study's findings will enrich the metaverse literature. Further, it provides a deeper understanding of enterprise metaverse adoption from a B2B perspective using the underpinnings of IRT. The study helps organizations understand the risks associated with the adoption of the enterprise metaverse.

The purpose of this paper is to better understand the role of virtual teams in organizational transformation. This conceptual paper explores the significant influence of the digital era on organizational structures, specifically focusing on the transformative shift toward virtual teams (VTs) with a strong message for small and medium-sized enterprises (SMEs).

The article is based on the review of existing concepts identified in the previously published studies and their critical reflection. The literature search was conducted in the Web of Science database in May 2024 by using the keywords VTs, Digitalization and SMEs.

In the rapidly changing business environment, organizational transformation is no longer a choice but a prerequisite for the survival and growth of businesses. It is argued in the study that organizations, especially SMEs, need to embrace VT despite the challenge of a comprehensive theoretical framework for understanding VT and the need for the development of a novel theory, which has been a reoccurring phenomenon and subject of debate in the literature. Furthermore, the paper underlines the necessity of providing essential preparation and training for VTs, focusing on both technological skills and collaborative work methods. In the context of SMEs, the paper argues that collaboration with external partners and the adoption of virtuality can enhance competitiveness. In the end, the emergence of virtual learning communities is proposed as a solution, providing a platform for SME owners/managers to share experiences and acquire new skills.

Overall, this study provides several recommendations for future research on VTs.

This study aims to investigate the combined use of System Dynamics (SD) applications in Enterprise Engineering (EE) research and practice. SD application in EE is becoming widely accepted as a tool to support decision-making processes and for capturing relationships within enterprises.

A systematic literature review (SLR) is conducted using a standard SLR method to provide a comprehensive review of existing literature. The search was conducted on ten platforms identifying 30 publications which were analysed through the use and development of a codebook.

The SLR showed that 90% of the result set consisted of peer-reviewed academic conferences and journal papers. The SLR identified a highly dispersed author set of 83 authors. Amongst these authors, Vinay Kulkarni was an active author who has co-authored up to four publications in this research area. The analysis further revealed that the combined use of SD applications and EE is an emerging research area that still needs to develop in maturity. While all phases of EE have received attention, the current research work is more focused on the design phase. The important gap between model development and implementation is identified.

The study elucidates the existing status of interdisciplinary research combining techniques from the SD and EE disciplines, suggesting future research topics that combine the strengths of these existing disciplines.

The main aim of this paper is to describe the potential benefits of enterprise building information models (EBIMs) for health-care institutions. The main research question addressed is how data from EBIM could be leveraged to create value for hospitals beyond design, construction and traditional facility management.

Three different prototypes, which use different technologies in combination with EBIM, are described to illustrate different uses of EBIM within the context of a hospital and health-care operations. The case study approach has been used to present the prototypes.

EBIM data, in combination with other data sources, increases the potential benefits of the data with respect to many health-care-related processes, during the operation of a health-care institution. The benefits of EBIM span beyond the design and construction life cycle phases of a hospital and provide value to a variety of stakeholders in multiple health-care-related processes.

The main limitation of this work is the limited sources of data and information such as the specific methods that were used in the design and development of each of the prototypes and a deeper insight into the design rationale and decisions. Another limitation of this paper is that the findings have not been validated.

This study demonstrates the value of convergence of a number of technologies such as EBIM, data and different types of technologies, throughout the life cycle of a building. This study also highlights the value of building information models (BIMs) data for supporting the design of novel educational and other types of application areas. The practical implications include the value for multiple stakeholders, such as resources planning, fleet and equipment management and contract negotiation. Benefits identified for resource planning can have strategic and financial implications at the management level. For patients, visitors and health-care personnel, there may be reduced infections, cleaner and pleasant facilities as well as a reduction of time to find relevant resources.

Social implications" could be replaced by "For patients, visitors and health-care personnel, there may be cleaner and pleasant facilities and easy navigation support through the hospital. Furthermore, enhanced access to knowledge and information about the artefact and assets in the hospital can enhance learning and knowledge sharing.

This study identifies the lack of research in using BIM with other data for value-added services for multiple stakeholders in the operations phase of a hospital and addresses that research gap.

This article aims to understand the challenges and key takeaways of implementing total quality management (TQM) in a virtual organisation.

An interventionist research (IVR) methodology combined with a qualitative critical event analysis was used to evaluate the challenges and concerns faced during the company’s adoption of TQM and understand the roles of the key players involved.

Standard process tools such as desktop procedures (DTP), focused teams, and service-level agreements (SLAs) were fundamental to implementing TQM in the company. These processes require the right leaders, but external agents may also be influential, acting as accelerators of change in adopting and using management practices in small companies. Indeed, the researcher acted as a problem solver, bringing innovative solutions to the firm using a hands-on iterative approach.

This research underscores the importance of critical success factors (CSF), such as employee engagement, training, and project management tools. These factors are not just important but crucial for the success of TQM in organisations seeking to adopt the industry’s best practices.

This study, conducted as a virtual IVR for TQM implementation, provides novel insights for practitioners and academics. It elucidates the pivotal role of some quality management tools in the journey towards TQM and the role of both internal and external critical players in the process, particularly in small virtual organisations based on innovative business models.

Airports are an essential part of the airline value chains. Artificial intelligence (AI) technologies are widely used at airports; the study aims to explore how the virtual integration competence and the perceived warmth of AI in airports increase customer service competencies and satisfy their passengers.

Based on the perspectives of digital competencies and hybrid intelligence, a continued usage intention model was analyzed using the partial least squares approach; this study used purposed sampling to collect data from those airports; participants who adopted the AI service in airports in Beijing, Taipei and Singapore who have the potential to use AI service usage experience more than three times and 384 completed questionnaires were analyzed.

AI innovations serve human tasks at airports and analytics applications as change drivers and can replace legacy procedures. The research findings help point out the perceived warmth of AI and the virtual integration competence of airports utilizing the intimacy of AI services.

AI innovations provide a service change to replace human tasks and intelligence and analytics applications at airports. AI services are a powerful tool for airports to serve their passengers efficiently; airports will collaborate with airlines to offer AI services to passengers.