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Corporate changes not only impact the firms involved but also have consequences for their ecosystems. However, the existing literature on ecosystem change is limited. This paper describes and discusses the interconnected patterns between corporate and ecosystem change, shedding light on the various forms these changes take.

The empirical part of the paper is based on the case study of two previously merged organizations' separation.

The paper reveals intensifying and dissipating change patterns, illustrating the linkages between rapid and gradual corporate and ecosystem changes within and across various ecosystem spheres. Three spheres are conceptualized: sphere of control, sphere of interdependency and sphere of negotiation, each indicating a separate change pattern.

The contribution of this paper lies in its discussion on interconnected corporate and ecosystem changes, offering valuable insights for situating corporate change within the ecosystem and establishing a vocabulary for ecosystem change. Moreover, through the empirical study of a corporate divorce, the paper enhances our understanding of this specific form of change.

This study seeks to comprehend how sociomateriality influences the openness paradox within the context of open strategising.

We adopted a qualitative approach and developed a case study as a research method. The data included 10 semi-structured interviews, direct observation and documentary analysis, including virtual documents, collaborative platforms and communication systems.

We found that sociomateriality influences the transition between openness and closure in open strategy (OS) dimensions, namely inclusion, participation and transparency, once organisational practitioners actively build on social relationships and engage with material elements within this paradoxical context.

The primary limitation was the challenge of managing extensive data, especially tracking all meetings and interactions. Nonetheless, we aimed to provide a comprehensive view and meaningful insights from the data. Future research could employ mixed methods to achieve a more holistic understanding of the phenomenon.

By understanding the role of formalisation and legitimation played by sociomateriality during open strategising, practitioners can navigate the complexities of balancing openness and closure, fostering innovation and engagement while ensuring the legitimacy of strategising. Recognising the coexistence of exclusions in social practices enables society to comprehend this paradox and highlight the need to address it, fostering an inclusive environment and promoting balanced openness in various social contexts.

Our study contributes to the OS literature by highlighting the role of sociomateriality in shaping the openness and closure interplay. Additionally, we emphasise the importance of formalisation and legitimation practices involving materiality in the balance between openness and closure in a context where openness is deemed essential for strategic success.

Research on leaders’ knowledge management systems focuses exclusively on how leaders gather and disseminate knowledge in collaboration with external actors. Not much is known about how leaders address the psychological aspects of employees and strategize internal communication. In addition, while previous work has treated high uncertainty as a default feature of crisis, this study aims to propose that perceived uncertainty varies in experience/meaning and has a crucial bearing on the relative balance of cognitive/emotional load on the leader and behavioral/psychological responses.

The authors contribute by qualitatively examining the role of leader knowledge systems in designing communication strategies in the context of the COVID-19 crisis by investigating communication characteristics, style, modes and the relatively unaddressed role of compassion/persuasion. In this pursuit, the authors interviewed 21 C-suite leaders, including chief executive officers, chief marketing officers, chief financial officers, chief human resource officers and founders, and analyzed their data using open, axial and selective coding, which were later extracted for representative themes and overarching dimensions.

Drawing from grounded theory research, the authors present a framework of knowledge systems and their resultant communication with employees in high uncertain and low uncertain crises. The authors highlight interactions of a set of concepts – leaders’ preparedness, leaders’ support to employees tailored communication adapted to perceived uncertainty, leading to enhanced trust – in the achievement of outcomes related to balancing operational and relational systems with employees. The findings suggest that a structured process of communication helps employees mitigate any concern related to uncertainty and feel confident in their leadership.

The research has implications for leaders in managing their knowledge systems, for human esources practitioners in designing effective internal communication programs, as well as for scholars in knowledge management, communication and leadership.

The metaverse, which is now revolutionizing how brands strategize their business needs, necessitates understanding individual opinions. Sentiment analysis deciphers emotions and uncovers a deeper understanding of user opinions and trends within this digital realm. Further, sentiments signify the underlying factor that triggers one’s intent to use technology like the metaverse. Positive sentiments often correlate with positive user experiences, while negative sentiments may signify issues or frustrations. Brands may consider these sentiments and implement them on their metaverse platforms for a seamless user experience.

The current study adopts machine learning sentiment analysis techniques using Support Vector Machine, Doc2Vec, RNN, and CNN to explore the sentiment of individuals toward metaverse in a user-generated context. The topics were discovered using the topic modeling method, and sentiment analysis was performed subsequently.

The results revealed that the users had a positive notion about the experience and orientation of the metaverse while having a negative attitude towards the economy, data, and cyber security. The accuracy of each model has been analyzed, and it has been concluded that CNN provides better accuracy on an average of 89% compared to the other models.

Analyzing sentiment can reveal how the general public perceives the metaverse. Positive sentiment may suggest enthusiasm and readiness for adoption, while negative sentiment might indicate skepticism or concerns. Given the positive user notions about the metaverse’s experience and orientation, developers should continue to focus on creating innovative and immersive virtual environments. At the same time, users' concerns about data, cybersecurity and the economy are critical. The negative attitude toward the metaverse’s economy suggests a need for innovation in economic models within the metaverse. Also, developers and platform operators should prioritize robust data security measures. Implementing strong encryption and two-factor authentication and educating users about cybersecurity best practices can address these concerns and enhance user trust.

In terms of societal dynamics, the metaverse could revolutionize communication and relationships by altering traditional notions of proximity and the presence of its users. Further, virtual economies might emerge, with virtual assets having real-world value, presenting both opportunities and challenges for industries and regulators.

The current study contributes to research as it is the first of its kind to explore the sentiments of individuals toward the metaverse using deep learning techniques and evaluate the accuracy of these models.

Successful adoption of building information modelling (BIM) by early adopters is crucial for its effective diffusion. The purpose of this study is to develop a framework of understanding that supports contextualized understanding of BIM adoption decisions in a BIM infant industry. The framework bridges the gap in current knowledge in terms of the absence of such a framework, which has hindered the structured understanding of the BIM decision of an adopter, curtailing the appropriate strategizing of their BIM adoption.

The study focuses on a BIM infant industry, where early adopters begin using BIM, allowing insights into this crucial initial stage of adoption. Identifying affordances as a versatile concept that could effectively represent not only what an adopter perceives and expects from BIM implementation, but also, what the adopter, in fact, can achieve from it, an affordance-led framework of understanding (AFU) was developed to comprehensively capture varying dynamics of BIM decision process. The study took a qualitative retroductive approach to theory with semi-structured interviews to gather necessary data from a sample of BIM adopters purposively selected to maximize the breadth and depth of data.

The study concludes by identifying and defining pertinent affordances as a new concept and a compulsory state for BIM adoption. Findings further demonstrate that existing theories can be linked to the AFU to strategically direct the affordances dynamics towards the pertinent state.

The AFU enables a deeper contextualizable view of innovation adoption that was absent in existing innovation studies. It significantly enhances the precision of strategizing BIM adoption compared to previous approaches, enabling adopters to plan and implement BIM in a manner that aligns well with their expectations and specific conditions.

The main aim of this study is to examine the effect of virtual store atmospheric factors on impulsive purchasing in the metaverse context.

Grounded in purposive sampling, 451 individuals with previous metaverse experience were recruited to accomplish the objectives of this research. Next, to identify both linear and nonlinear relationships, the data were analyzed using partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) approaches.

The findings underscore the significance of the virtual store environment and online trust in shaping impulsive buying behaviors within the metaverse retailing setting. Theoretically, this study elucidates the impact of virtual store atmosphere and trust on impulsive buying within a metaverse retail setting.

From the findings of the study, because of the importance of virtual shop content, practitioners must address its role in impulse purchases via affective online trust. The study’s findings are likely to help retailers strategize and improve their virtual store presentations in the metaverse.

The discovery adds to the understanding of consumer behavior in the metaverse by probing the roles of virtual store atmosphere, online trust and impulsive buying.

Distance has been a core concept and issue in international business and management research. While scholars argue that distance through internationalization is increasing costs, distance is also associated with positive implications such as the integration of more diverse knowledge. Still, many firms struggle to manage distance effectively and efficiently in their multinational contexts. The purpose of this study therefore is to propose Open Strategy – increasing transparency and inclusion in the strategy process – as an attractive concept for managing distance.

This is a conceptual paper where the authors introduce Open Strategy to the IB community.

The authors argue that opening the strategy of multinational enterprises, enables firms to leverage diversity by re-combining the firms diverse and distant knowledge. It also reduces distance by moving beyond formal mechanisms of control and coordination to improve joint understanding, cooperative commitment and strategy implementation. The framework shows how firms can move beyond established dogmas in international business research by rendering their strategy processes more open.

Leveraging the Open Strategy literature, the authors are able to find a way to respond to the challenge of increasing distance, in fact even arguing that distance can be beneficial if framed as diversity.

This article examines the role the Australian Trade Union Training Authority (TUTA) played in international education through the provision of trade union courses and exchanges. We consider how an investigation of trade union networks contributes to a richer understanding of international education linkages.

This paper is based on research conducted for an Australian Research Council (ARC)-funded project: Trade union training: reshaping the Australian industrial landscape (ARC LP180100500). This research involved a critical analysis of 60 semi-structured oral history interviews and textual archives, including the official records held by the National Archives of Australia and papers held by the Noel Butlin Archives, the Australian Council of Trade Unions and in private collections.

TUTA was established primarily as a national union training organisation, but from its inception, it also acted as a hub for the development of regional and international labour networks. The nature of TUTA’s work placed it at the intersection of international trade union and educational domains. Although there were some points of contact with formal international programs (e.g. Japan–Australia and Kellogg Foundations, the Colombo Plan and US Department of Labour exchanges schemes), the specific contribution of TUTA is overlooked in the educational exchange literature. The role of TUTA is revealed through institutional connections and individual experiences.

Further research is required to gain a deeper understanding of the impact of TUTA from the perspective of former participants in international TUTA course and current and former trade unionists in the Asia–Pacific.

This article builds new knowledge by examining the connections forged in the Asia–Pacific region at the intersection of trade union and educational networks, an area often overlooked in the literature on educational exchange.

The study aims to understand the influence of supplier development (SD) activities on supplier satisfaction through the lens of social capital theory (SCT) and to understand the mediating role of the buyer–supplier relationship (BSR) in improving supplier satisfaction (SS).

The research is based on survey of 110 key informants belonging to 50 medium to small supplier companies in the Indian automotive sector. We employed the PLS variance-based modelling technique for the data analysis.

The investigation resulted in a comprehensive framework for SD activities influencing SS. Further findings recognize a positive influence of SD activities such as payment terms and BSR, which are components of structural social capital on the SS. SD activities such as quality management and delivery, which are indicators of relational capital, affect SS through the mediation of BSR.

The study confirms the role of BSR in SS. The deliberations can help the managers of buyer and supplier firms and researchers to classify and strategize SD activities to improve performance and BSR to become preferred customers through SS.

Through the subject of business network dynamics, this study aims to examine how business network relationships impact company entry market and development within fast growing economies as China. The paper looks at business network relationships in a fast-growing economy and provides an understanding of the relational perspectives in internationalisation of three luxury fashion companies and their entry models affected by the China context-related variables.

The methodology is following a qualitative approach, based on multiple case-studies research, proposing three cases of companies entering the Chinese market in the luxury and fashion industry.

The research analyses the local business network paths and how they affect the entry strategy through the socio-cultural and political players. The paper adds knowledge to studies in market entry and business networks, in the fast-growing economies area, with its new norms and values.

This study tries to analyse how business networks and related relationships “with Chinese characteristics” affect the market entry strategy in the internationalisation path from the perspective of the luxury fashion industry sector. In so doing it tries to provide an original further development of business network models within the new Chinese context.