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The aim of this study is to understand how virtual teams experience perceived proximity. Existing literature suggests that perceived proximity can be achieved through quality communication and increased identification. However, not much is known as to how these two may be achieved within the context of virtual teams.

The authors address their research question through a comparative case study, with the help of two virtual teams of software developers and the authors adopt a subset from the Constructivist Grounded Theory Method procedures for the purposes of coding to understand the potential explanations regarding the two teams' differences in perceptions of perceived proximity.

The authors’ study shows that shared mental models support quality communication and team members to identify with the shared values of their team. Quality communication is easier achieved when the team shares a dynamic and evolving understanding of the tools for communication and collaboration. The authors also draw attention to the importance of how work is organised and the influence of the temporal dimension on virtual teams beyond the temporal organisation of collaborative work.

The value of this study is found in its contribution towards the development of a formal connection between perceived proximity and shared mental models, that is empirically grounded, and which holds an explanatory value in addressing how perceived proximity can be supported rather than compromised.

The purpose of this paper is to argue for the role of the blockchain, i.e., distributed ledger technology, in building innovative business models, including machine money, autonomous economic agents and decentralised organisations.

The paper is conceptual/argumentative. As such, it draws on research on (e-)commerce, theories of markets, disruptive innovation and extant studies and conceptual work at the intersection of cryptocurrencies, machine-to-machine commerce and the Internet of Things.

The authors highlight three application areas for blockchains, whereby they can function as applications, can help develop autonomous economic agents and can lead the development of decentralised autonomous organisations. With regards to the question of market disintermediation, the authors suggest that, rather than complete disintermediation, the most probable scenario is that of new types of intermediaries finding previously unthinkable roles to play in mediating blockchain-based economic transactions. With regards to the inhibitors that slow down the technology’s adoption and, therefore, the development of new business applications, the authors posit that these relate mainly to the inherent risk of the technology, infrastructure requirements, scepticism of early decision makers and the lack of required new skills and competencies.

The authors examine how new forms of digital money and technologies embedding trust in decentralised networks will alter markets and commerce, at a time when many regulatory issues remain unresolved; in doing so, the authors focus on how blockchain-enabled technologies can be used to enable and further develop decentralised trusted peer-to-peer transaction ledger systems and applications and lead to sustainable business models.

The aim of this article is to map the use of AI in the user experience (UX) design process. Disrupting the UX process by introducing novel digital tools such as artificial intelligence (AI) has the potential to improve efficiency and accuracy, while creating more innovative and creative solutions. Thus, understanding how AI can be leveraged for UX has important research and practical implications.

This article builds on a systematic literature review approach and aims to understand how AI is used in UX design today, as well as uncover some prominent themes for future research. Through a process of selection and filtering, 46 research articles are analysed, with findings synthesized based on a user-centred design and development process.

The authors’ analysis shows how AI is leveraged in the UX design process at different key areas. Namely, these include understanding the context of use, uncovering user requirements, aiding solution design, and evaluating design, and for assisting development of solutions. The authors also highlight the ways in which AI is changing the UX design process through illustrative examples.

While there is increased interest in the use of AI in organizations, there is still limited work on how AI can be introduced into processes that depend heavily on human creativity and input. Thus, the authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans.

The study aims to provide insights in the sensemaking process and the use of business analytics (BA) for project selection and prioritisation in start-up settings. A major focus is on the various ways start-ups can understand their data through the analytical process of sensemaking.

This is a comparative case study of two start-ups that use BA in their projects. The authors follow an interpretive approach and draw from the constructivist grounded theory method (GTM) for the purpose of data analysis, whereby the theory of sensemaking functions as the sensitising device that supports the interpretation of the data.

The key findings lie within the scope of project selection and prioritisation, where the sensemaking process is implicitly influenced by each start-up's strategy and business model. BA helps start-ups notice changes within their internal and external environment and focus their attention on the more critical questions along the lines of their processes, operations and business model. However, BA alone cannot support decision-making around less structured problems such as project selection and prioritisation, where intuitive judgement and personal opinion are still heavily used.

This study extends the research on BA applied in organisations as tools for business development. Specifically, the authors draw on the literature of BA tools in support of project management from multiple perspectives. The perspectives include but are not limited to project assessment and prioritisation. The authors view the decision-making process and the path from insight to value, as a sensemaking process, where data become part of the sensemaking roadmap and BA helps start-ups navigate the decision-making process.

The aim of this study was to address the unmet information needs of Malawian informal carers. We report on a three-year project which we co-created with informal carers, medical doctors and NGOs with the view to disseminate health advisory messages.

This study was developed on the principles of co-production. The impact of our health advisory messaging approach was assessed through observations and questionnaire-based surveys for quality, clarity and usefulness.

The messages were disseminated beyond the local support groups and reached a much wider community via word of mouth. The messages also led to short and medium term benefits for informal carers and their loved ones.

Our findings highlight the importance of understanding the contextual conditions of informal caring and that of co-producing interventions with the people these aim to benefit.

The purpose of this paper is to examine sharing economy online marketplaces with the aim of understanding how trust perceptions form and get communicated through sharing economy platforms.

The authors build on online user comments and reviews as aggregated by independent third-party websites, and apply a qualitative analysis.

The findings show that the quantity of information and communication are important drivers towards building trust perceptions, while an overall lack of interaction between users and the marketplace provider intensifies perceived risks.

The authors validated the importance of trust and the authors have illustrated that the critical conditions that hinder trust formation are information asymmetry as well as the lack of interaction. What is also an interesting implication is that the impact of both of these can be exacerbated when there is a perceived lack of support among users and between them and the marketplace operator.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

Business analytics (BA) can help firms better select and prioritize project work they undertake. Data generated through analytics permits awareness of changes in the operating environment and can be used to inform sensemaking and alongside intuition to enhance decision-making.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.