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The purpose of this paper is to develop and introduce the new concept of the collaborative space.

Building on an extensive overview of past research and footing on extant conceptual work, the paper chooses an explicating conceptualization approach.

The paper presents the collaborative space, which features the three bipolar dimensions, namely, the type of consumption (access vs reownership), source of resource (company-owned vs consumer-owned) and the type of compensation (with vs without monetary fee). These dimensions open up multiple areas of the collaborative space, including the pseudo sharing economy, sharing ecology, redistribution markets and redistribution communities.

The paper shows blind spots in the literature as well as the need to consider the consumption context to outline directions for future research.

For managers, this paper develops a foundation for entering, exploring and exploiting the collaborative space along the stages acquisition, distribution, consumption and compensation.

Collaborative consumption is associated with community-building, resource saving and sustainability. The conceptualization of the collaborative spaces provides different options to enable more sustainable consumption and raise social exchange between consumers.

So far, an overarching framework that reveals similarities and differences of business models that are associated with collaborative consumption and the sharing economy is missing. This paper develops this framework, which is labelled the collaborative space.

Meetings with colleagues are an essential activity in workplace collaboration. The iterative nature of collaborative work demands spaces that team members can access quickly and easily. Creating suitable meeting spaces will become more critical if the hybrid work model continues and the workplace environment becomes the hub for face-to-face collaborative time, learning and training. Workspace and fit-out is expensive so it is crucial that the investment in meeting spaces supports employees’ collaboration activities.

This paper presents a case study of a corporate organisation undertaken in New Zealand to investigate how employees from two business units use their workspace to collaborate within their own team and across other teams in their organisation. The study uses ethnographic techniques, including participant observation and in-depth face-to-face interviews.

The findings show that the frequency and nature of small group work in collaboration was underestimated in the initial planning of the new workspace. Although participants found the design and fit-out of the formal meeting rooms supportive of collaborative work, the meeting rooms were in high demand, and it was difficult to find a room at short notice. The breakout spaces were confusing because they lacked key design attributes identified by the participants as conducive to small group work. Design shortfalls together with fit-out features perceived as supportive of collaborative work are identified.

The research reports on employees’ perceptions and experiences across two functionally diverse business units, reflecting their different needs and concerns.

This study aims to test the relationship between virtual knowledge sharing (VKS) and team effectiveness (TE) during the COVID-19 pandemic. The study also explores the moderating role of collaborative technologies.

This is a cross-sectional study conducted in the service sector of India. A purposive sample of 321 knowledge workers from National Capital Region of India was used. Questionnaires were distributed to knowledge workers working in a virtual environment. The hypotheses were tested with confirmatory factor analysis and structural equation modeling (SEM) using partial least square-SEM.

The study reveals that, amid the COVID-19 pandemic, virtual knowledge sharing (VKS) positively affects team effectiveness (TE). Furthermore, the impact of VKS on TE is contingent upon the utilization of collaborative technologies.

The study contributes to the existing literature by exploring the impact of VKS on TE during the COVID-19 pandemic and the importance of collaborative technologies in facilitating virtual team collaboration, which has practical implications for organizations seeking to enhance TE in virtual environments.

This chapter examines what teacher training has taught us through numerous studies and collaborations on how space can be used to develop a unique culture with students. The principal concept here is that classroom and education design has evolved. The pandemic has spotlighted the physical and virtual spaces we use while learning desired qualities of collaboration, communication, critical thinking and designing for creativity and belonging.

This study aims to examine the key components to facilitate flexible work arrangement (FWA) and the issues and challenges arisen in preparing the workplace for FWA during Covid-19, and to recommend better approach of FWA implementation in workplace.

This study adopted extensive literature review and case studies approach using interviews and observations to determine the key components to facilitate FWA and the issues and challenges arisen in preparing the workplace for FWA during Covid-19, and to recommend better approach of FWA implementation in workplace. Three offices that owning FWA experience during Covid-19 and featuring flexible workspace concepts, elements and layouts in Klang Valley, Malaysia were chosen as case studies.

Findings have suggested that there are four components required to form flexible workspace for FWA adoption, such as open plan workspace design, task-oriented space, hot desking policy and IT infrastructure. Interestingly, the interview findings do not support the idea that the flexible furniture can facilitate FWA; instead, they believe that versatile, acoustical and aesthetical furniture may be installed when necessary. Among the issues and challenges faced were rearranging and designing open office plan layout, hot desk relocation and reconfiguration of spaces where people may congregate. Lastly, this research recommends that innovative planning software and tools, smart technology and apps, modern IT technology and infrastructure, and digital apps can be introduced to the workplace to help FM manage and monitor the facilities operations, workplace situations and occupancy rates.

Since the outbreak of Covid-19, FWA such as “Work From Home” and remote working have become the mainstream in the workplace, affecting how the workplace looks and feels as flexible working is fundamentally related to the flexible workspace. From Facilities Management (FM) perspective, FWA is the biggest consequence of Covid-19, but it also presents opportunities and certain challenges to incorporate a new office environment and employees’ needs in terms of FWA into the corporate culture.

Although there is a growing body of literature on the benefits of innovation ecosystem participation for keystone/focal firms, there are limited studies on what motivates or impedes other actors’ participation (i.e. suppliers and complementors) in collaborative innovation. Hence, this study aims to address the root causes of collaborative innovation failure and develop a better understanding of the hindering factors for the generation of collaborative innovation performance in ecosystem-based manufacturing.

This study adopted a qualitative research study with 45 managers involving an online survey with open-ended questions followed by an expert focus group with seven managers from a UK-based high value manufacturing ecosystem. Data analysis and coding followed a highly iterative process using a thematic analysis approach.

This study identified six common barriers to collaborative innovation from the perspective of supplier firms. Particularly, this study found unique impeding factors in relation to revealed and deterring barriers in an ecosystem-based manufacturing context. This paper argues that suppliers and small- and medium-sized enterprises not only require financial support but also need to develop a strategic mindset, confidence, effective partnerships and knowledge about risks and returns to participate in collaborative innovation.

The extant literature identifies the motivations for joining innovation ecosystems and the prominence of value co-creation activity from the perspective of focal firms or orchestrators. However, this study offers insights into the need for an effective value co-appropriation setup amongst the ecosystem actors including suppliers. Importantly, this study proposes that effective value co-appropriation is essential for making collaborative innovation happen in manufacturing ecosystems.

This research aims to extract Industry 4.0 technological building blocks (TBBs) capable of value generation in collaborative consumption (CC) and the sharing economy (SE). Furthermore, by employing a mixed methodology, this research strives to analyse the relationship amongst TBBs and classify them based on their impact on CC.

Due to the importance of technology for the survival of collaborative consumption in the future, this study suggests a classification of the auxiliary and fundamental Industry 4.0 technologies and their current upgrades, such as the metaverse or non-fungible tokens (NFT). First, by applying a systematic literature review and thematic analysis (SLR-TA), the authors extracted the TBBs that impact on collaborative consumption and SE. Then, using the Bayesian best-worst method (BBWM), TBBs are weighted and classified using experts’ opinions. Eventually, a score function is proposed to measure organisations’ readiness level to adopt Industry 4.0 technologies.

The findings illustrated that virtual reality (VR) plays a vital role in CC and SE. Of the 11 TBBs identified in the CC and SE, VR was selected as the most determinant TBB and metaverse was recognised as the least important. Furthermore, digital twins, big data and VR were labelled as “fundamental”, and metaverse, augmented reality (AR), and additive manufacturing were stamped as “discretional”. Moreover, cyber-physical systems (CPSs) and artificial intelligence (AI) were classified as “auxiliary” technologies.

With an in-depth investigation, this research identifies TBBs of Industry 4.0 with the capability of value generation in CC and SE. To the authors’ knowledge, this is the first research that identifies and examines the TBBs of Industry 4.0 in the CC and SE sectors and examines them. Furthermore, a novel mixed method has identified, weighted and classified pertinent technologies. The score function that measures the readiness level of each company to adopt TBBs in CC and SE is a unique contribution.

Despite a growing body of research focusing on the dark side of sharing economy development, arguments are fragmented and incomplete. This study aims to address the gap by integrating existing viewpoints based on a provider’s perspective.

This study conducted a bibliometric analysis using text mining and clustering algorithm techniques to measure the scope of scientific output on this topic and identify the main research themes.

Through the bibliometric analysis, this study developed an integrative framework based on the platform providers’ internal management issues and external conflicts with consumers, society, government regulations and traditional business. It also identified significant gaps within each research theme and proposed a future research agenda.

Sharing economy development has not yet been fully understood and regulated, leading to unprecedented challenges to existing business systems. The study addresses knowledge gaps and advances the understanding of the dark side of the sharing economy based on the provider’s internal management and interplay with external forces. It offers a roadmap for future research to advance understanding of the “hidden” dark side of the sharing economy.

This study aims to investigate how configurations of boundary objects (BOs) support innovation teams in developing innovative product concepts. Specifically, it explores the effectiveness of different artefact configurations in facilitating collaboration and bridging knowledge boundaries during the concept development process.

The research is based on data from ten undergraduate innovation teams working with an industry partner in a creative industry. Six categories of BOs are identified, which serve as tools for collaboration. The study applies fsQCA (fuzzy-set qualitative comparative analysis) to analyse the configurations employed by the teams to bridge knowledge boundaries and support the development of innovative product concepts.

The findings of the study reveal two distinct groups of configurations: product envisioning and product design. The configurations within the “product envisioning” group support the activities of visioning and pivoting, enabling teams to innovate the product concept by altering the product vision. On the other hand, the configurations within the “product design” group facilitate experimenting, modelling and prototyping, allowing teams to design the attributes of the innovative product concept while maintaining the product vision.

This research contributes to the field of innovation by providing insights into the role of BOs and their configurations in supporting innovation teams during concept development. The results suggest that configurations of “product envisioning” support bridging semantic knowledge boundaries, while configurations within “product design” bridge pragmatic knowledge boundaries. This understanding contributes to the broader field of knowledge integration and innovation in design contexts.

Collaborative robotics and autonomous driving are fairly new disciplines, still with a long way to go to achieve goals, set by the research community, manufacturers and users. For technologies like collaborative robotics and autonomous driving, which focus on closing the gap between humans and machines, the physical, psychological and emotional needs of human individuals becoming increasingly important in order to ensure effective and safe human–machine interaction. The authors' goal was to conceptualize ways to combine experience from both fields and transfer artificial intelligence knowledge from one to another. By identifying transferable meta-knowledge, the authors will increase quality of artificial intelligence applications and raise safety and contextual awareness for users and environment in both fields.

First, the authors presented autonomous driving and collaborative robotics and autonomous driving and collaborative robotics' connection to artificial intelligence. The authors continued with advantages and challenges of both fields and identified potential topics for transferrable practices. Topics were divided into three time slots according to expected research timeline.

The identified research opportunities seem manageable in the presented timeline. The authors' expectation was that autonomous driving and collaborative robotics will start moving closer in the following years and even merging in some areas like driverless and humanless transport and logistics.

The authors' findings confirm the latest trends in autonomous driving and collaborative robotics and expand them into new research and collaboration opportunities for the next few years. The authors' research proposal focuses on those that should have the most positive impact to safety, complement, optimize and evolve human capabilities and increase productivity in line with social expectations. Transferring meta-knowledge between fields will increase progress and, in some cases, cut some shortcuts in achieving the aforementioned goals.