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The case on Moodcafe captures the journey of the start-up and its entrepreneurs from the beginning till the fund-raising stage. The case brings forth critical decisions that each entrepreneur or the team of co-founders have to address during their start-up journey. This short case gives opportunity to delve into two aspects mainly a) As a founder, which investor should one choose for seeking funds and what should be the terms and conditions of investment? and b) How can one review and assess the business model of a start-up?

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.

This study aims to explore the management learning during a long-term crisis like a pandemic. The paper addresses both what health-care managers have learnt during the COVID-19 pandemic and how the management learning is characterized.

The paper is based on a qualitative case study carried out during the COVID-19 pandemic at two different public hospitals in Sweden. The study, conducted with semi-structured interviews, applies a combination of within-case analysis and cross-case comparison. The data were analyzed using thematic deductive analysis with the themes, i.e. sensemaking, decision-making and meaning-making.

The COVID-19 pandemic was characterized by uncertainty and a need for continuous learning among the managers at the case hospitals. The learning process that arose was circular in nature, wherein trust played a crucial role in facilitating the flow of information and enabling the managers to get a good sense of the situation. This, in turn, allowed the managers to make decisions meaningful for the organization, which improved the trust for the managers. This circular process was iterated with higher frequency than usual and was a prerequisite for the managers’ learning. The practical implications are that a combined management with hierarchical and distributed management that uses the normal decision routes seems to be the most successful management method in a prolonged crisis as a pandemic.

The gained knowledge can benefit hospital organizations, be used in crisis education and to develop regional contingency plans for pandemics.

This study has explored learning during the COVID-19 pandemic and found a circular process, “the management learning wheel,” which supports management learning in prolonged crises.

The case revolves around a critical incident that took place at an Indian pharmaceutical company, in which various stakeholders had very different perspectives regarding the nature, causes and consequences of the incident. By illustrating the contrasting perceptions of the same event, the authors have shed light on the nature of perception and perceptual processes, including cognitive biases and errors in human judgement. The case provides insights into how these manifest in the organisational context and how managers could be made more aware of them to avoid errors in judgment and make choices that are more informed.

As of 2020, London's Financial Times had ranked Fundação Dom Cabral (FDC) as one of the world's leading executive education institutions and the top such institution in Latin America for 15 consecutive years. In 2011, FDC was also ranked fifth on the Financial Times' list of the 40 most respected business schools in the world. For FDC itself and for its co-founder, Emerson de Almeida, this recognition was a wonderful way of celebrating the 35th anniversary of an institution that has become a leader in applied management education in Brazil.

How did this young Brazilian institution achieve this? As is the case for any great undertaking, many people played crucial roles in its creation and consolidation. However, its history is closely tied to the life of its co-founder, Emerson de Almeida.

Emerson was FDC's Chief Executive from its foundation in 1976 until 2012, when he became President of its Board of Governance. ¹ He is primarily an innovator and drew his inspiration from visits to world-renowned business schools. Once he understood the needs arising from executive thinking processes, he was able to adapt these schools' best practices to suit the Brazilian culture and context.

‘You must always try the impossible’, he says. This case study presents the story of an exceptional institutional intrapreneur who championed and led the transformation of executive education in Brazil.

This bibliometric study provides an overview of research related to digital transformation (DT) in the tourism industry from 2013 to 2022. The goals of the research are as follows: (1) to identify the development of academic papers related to DT in the tourism industry, (2) to analyze dominant research topics and the development of research interest and research impact over time and (3) to analyze the change in research topics during the pandemic.

In this study, the authors processed 3,683 papers retrieved from the Web of Science and Scopus. The authors performed different types of bibliometric analyses to identify the development of papers related to DT in the tourism industry. To reveal latent topics, the authors implemented topic modeling based on latent Dirichlet allocation with Gibbs sampling.

The authors identified eight topics related to DT in the tourism industry: City and urban planning, Social media, Data analytics, Sustainable and economic development, Technology-based experience and interaction, Cultural heritage, Digital destination marketing and Smart tourism management. The authors also identified seven topics related to DT in the tourism industry during the Covid-19 pandemic; the largest ones are smart analytics, marketing strategies and sustainability.

To identify research topics and their development over time, the authors applied a novel methodological approach – a smart literature review. This machine learning approach is able to analyze a huge amount of documents. At the same time, it can also identify topics that would remain unrevealed by a standard bibliometric analysis.

At the authors’ libraries, they consolidated two departments and attempted to find ways to increase productivity, reduce duplication and improve job happiness within their software development teams. The authors have lost institutional knowledge when developers leave the team, yet the authors remain responsible for critical library services. The merging of the authors’ departments provided the opportunity to rethink how their teams are structured and whether a different model could provide better professional development, more knowledge sharing and better stability of their services. This article presents a case study of moving from a project-centric approach to a platform-based model.

The authors met with those responsible for establishing priorities for their services and developers to assess successful and unsuccessful implementations and pivoted based on those assessments.

The authors found that their developers were happier to increase their portfolios and professional development, and the librarians were satisfied with more stable services during a particularly unstable time within the authors’ institution.

This is a practical example of a positive way to structure development teams in libraries. Frequently, teams support a single service to the library because of the criticality of that service on a day-to-day basis, but that can create a lack of shared knowledge during institutional instability. This study reveals the benefits of a platform-based approach, including increased developer happiness, reduced disruptions due to staff turnover and improved system stability. It also discusses the challenges of managing product owners' expectations and balancing feature development with maintenance work.

This paper aims to explore how the maieutic role of management accounting (MA) can be sustained in the context of MA digitalization.

The paper begins with practitioners’ descriptions of the context that makes the MA support of non-routine decisions maieutic. To understand how the maieutic characteristics can be sustained in future MA digitalization, the authors then analyze the discourses these practitioners have about artificial intelligence (AI) in providing MA support.

As a basis, the authors’ data show various maieutic characteristics within the use of MA answers in decision-making as well as within the MA process of generating such answers. The paper then identifies three MA digitalization discourses, namely, “computation,” “judgment” and human-AI “interaction” discourse, each with their unique agendas on how AI should be used.

The paper is based on the premises that AI and digitalization are often discussed without sufficient understanding about the context being digitalized. The authors’ data suggest that MA support in non-routine decision-making is fundamentally maieutic, and AI – as it currently stands – is not expected to change this by providing perfect answers. The authors provide novel insights about maieutic MA support and the current discourses on using AI in MA support, and how digitalization does not necessarily compromise maieutic MA support but instead has the potential to sustain or even enhance it.

In the context of a highly regulated teacher education system, this chapter offers an alternative vision for a ‘better normal’ for teacher education in England. It foregrounds the need for teacher educators and teacher preparation curricula to promote ‘a way of being’ that enables teachers and teacher educators to have agency, develop as ‘thinking’ professionals and be resilient in an ever-changing policy context.

The article investigates the institutional setup of e-lending in public libraries in Denmark, Norway and Sweden. Our point of departure is that e-lending has necessitated new library collaborations between local, regional and national levels, and therefore, institutional e-lending setups have emerged. The study seeks to provide better understanding of how the institutional setups are structured, how governance logics have shaped them and what tensions and dynamics become visible in the key actors’ problematisations of these setups.

The study is situated in the neo-institutional tradition and applies the institutional logics perspective. The research questions are answered by taking a qualitative approach, grounded in an extensive interview study with representatives of libraries, publishers and policy actors in three Scandinavian countries. To provide in-depth insight into e-lending setups, the scope of empirical material is then limited to accounts the central library and policy actors involved in establishing e-lending.

The analysis shows that the e-lending setups are both similar (especially when it comes to financing), and different across Scandinavia, especially when it comes to centralisation and involvement of librarians in this task. The differences are attributed to the influence of different governance logics (question of administrative autonomy, collaboration in the field and existing legal and political frames), and to what extent the digital and market logics are incorporated or rejected in the field.

The study provides new insights into the question of how Scandinavian public libraries face the consequences of the digitalisation of book distribution and consumption by investigating how they organise their e-lending services. This has not been explored before, notably in a comparative perspective.