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The onboarding stage of new hires represents a unique opportunity for mutual learning between the new hires and the organisation regardless of the company size. The current paper aims to address these learning opportunities.

The authors reflect on current practice, draw on recent literature and their experience with recruitment and selection processes in the industry to generate new insights and identify opportunities for practitioners and new hires alike.

Today's new hires expect onboarding experiences that allow for a much greater degree of flexibility, customisation and personalisation. Similarly, many new hires expect hiring, onboarding, and learning and development to be interconnected to generate new learning and career opportunities. However, these expectations require changes in the way in which onboarding is implemented, evaluated and connected to other human resource practices, specifically with the dramatic (and successful) increase in remote work arrangements in 2020 in response to the global impact of the pandemic.

The current paper provides readers with an overview of potential learning opportunities, outlines specific success factors and highlights a variety of pointers for practice and further professional development.

Before the onset of the COVID-19 pandemic, most employees worked from their employers' offices, and new team members were integrated into their roles through standard onboarding procedures. However, in response to the pandemic, organizations quickly reestablished new remote onboarding strategies. As hybrid employment gains popularity, the onboarding process has been affected by the digital transformation (DT) phenomenon, and organizations must now implement remote strategies to onboard new employees.

In this context, by considering the major changes that happen in the field, the purpose of this article is to provide a literature review of the onboarding process (OP), using the context-interventions-mechanisms-outcomes framework.

The review identifies four mechanisms describing the complexity of the OP and the impact of DT: basic onboarding, advanced onboarding, integration of newcomers and remote onboarding.

The findings have implications for both HR professionals concerned with onboarding strategy, and researchers studying the OP.

This study explores the motivations underlying the European Super League (SL) breakaway attempt. While institutional settings bind football to tradition, investors conceive football companies as an opportunity to diversify their investments in a fast-growing technological industry. The study investigates the market structure and identifies the reasons behind the European football crisis, proposing to modify the role of Union of European Football Associations (UEFA) in the European football market.

After summarizing the unusual features of the European football market, the article displays the agents involved and their interrelations. Modeling the market facilitates picturing the misalignment of targets of regulatory bodies and football clubs. It also helps visualize the potential consequences of the SL coup on the market.

The market does not allow football companies to monetize their business and compete with other entertainment sectors. Only a radical change in the balance of power between clubs and self-interested institutional settings can settle this situation. Indeed, this relation leads to market inefficiency because the two most critical clubs' financial problems (the high dependence on broadcasting revenues and the uncontrolled expenditures on players' salaries) are linked to the same issue: the governing bodies strongly influence the profit equation by holding control of media rights and incentivizing clubs to overspend to win both on-field and off-field.

This study is the first to assess the football business market using an evolutionary approach to address its problems. It offers a visualizing tool to understand the market and proposes an alternative solution for solving the football market crisis.

The purpose of this study is to revisit the conventional wisdom about a key contribution [i.e. strengths, weaknesses, opportunities, threats (SWOT) analysis] in the field of strategic management. The societal context and the role of academics, consultants and executives is taken into account in the emergence of SWOT analysis during the 1960–1980 period as a pivotal development within the broader context of the satisfactory, opportunities, faults, threats (SOFT) approach. The authors report on both the content and the approach, so that other scholars seeking to invigorate indigenous theories and/or underreported strategy practices will thrive.

Applying a historiographic approach, the authors introduce an evidence-based methodology for interpreting historical sources. This methodology incorporates source criticism, triangulation and hermeneutical interpretation, drawing upon insights from robust evidence through three iterative stages.

The underreporting of the SOFT approach/SWOT analysis can be attributed to several factors, including strategy tools being integrated into planning frameworks rather than being published as standalone materials; restricted circulation of crucial long-range planning service/theory and practice of planning reports due to copyright limitations; restricted access to the Stanford Research Institute Planning Library in California; and the enduring popularity of SOFT and SWOT variations, driven in part by their memorable acronyms.

In the spirit of a renaissance in strategic planning research, the authors unveil novel theoretical and social connections in the emergence of SWOT analysis by combining evidence from both theory and practice and delving into previously unexplored areas.

Caution is advised for scholars who examine the discrete time frame of 1960–1980 through mere bibliometric techniques. This study underscores the risks associated with gathering incomplete and/or inaccurate data, emphasizing the importance of triangulating evidence beyond scholarly databases. The paradigm shift of strategic management research due to the advent of large language models poses new challenges and the risk of conserving and perpetuating academic urban legends, myths and lies if training data is not adequately curated.