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The purpose is to present proposals to foster what we call a socially meaningful transparency practice that aims to enhance public understanding of data-based systems through the production of accounts that are relevant and useful to diverse publics, and society more broadly.

The authors’ proposals emerge from reflections on challenges they experienced producing written and visual accounts of specific public sector data-based systems for research purposes. Following Ananny and Crawford's call to see limits to transparency practice as “openings”, the authors put their experience into dialogue with the literature to think about how we might chart a way through the challenges. Based on these reflections, the authors outline seven proposals for fostering socially meaningful transparency.

The authors identify three transparency challenges from their practice: information asymmetry, uncertainty and resourcing. The authors also present seven proposals related to reduction of information asymmetries between organisations and non-commercial external actors, enhanced legal rights to access information, shared decision making about what gets made transparent, making visible social impacts and uncertainties of data-systems, clear and accessible communication, timing of transparency practices and adequate resourcing.

Socially meaningful transparency aims to enhance public understanding of data-based systems. It is therefore a necessary condition not only for informed use of data-based products, but crucially for democratic engagement in the development of datafied societies.

The paper contributes to existing debates on meaningful transparency by arguing for a more social, rather than individual, approach to imagining how to make transparency practice more meaningful. The authors do this through their empirical reflection on our experience of doing transparency, conceptually through our notion of socially meaningful transparency, and practically through our seven proposals.

Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability.

This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration.

In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation.

The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient.

This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

The purpose of this paper is to investigate employees’ perception of their organization and to examine the impact of such perception on overall employee satisfaction using qualitative and quantitative employee reviews in an online platform.

The employee online reviews were classified into positive and negative sentiments using sentiment analysis. Further, multiple regression was employed to examine the impact of sentiments (positive and negative) and employee ratings on pre-defined job attributes in explaining overall employee satisfaction with the organization.

The findings of the sentiment analysis shows that employee online reviews exhibit more positive sentiments than negative sentiments. Positive sentiments show a significant positive effect, and negative sentiments show a significant inverse relationship with overall employee satisfaction. Further, pre-defined job attributes are differently related to overall employee satisfaction with the organization, skill development being the strongest predictor.

Practitioners may customize the organization's policies and practices based on the sentiments associated with employee reviews. Organizations emphasizing employee engagement and satisfaction are suggested to include skill development as their priority.

Most existing work on overall employee satisfaction is primarily based on the survey questionnaire method; only recently, online employee reviews (OERs) are gaining attention. The current research uses employee online reviews to study overall employee satisfaction.

This paper addresses the relevance of job search methods and strategies in determining vertical mismatch and the risk of underusing skills or knowledge in first jobs amongst graduates from bachelor's and master's programmes in Spain. Support from universities (via internships and career services) is compared to support from public institutions and informal strategies.

The authors use the 2019 University Graduate Job Placement Survey. The dependent variables are estimated with a bivariate probit model with sample selection on a subsample of graduates who were not working at graduation.

Internships and university career employment offices significantly improve the quality of first job matches. Job banks and public examinations also contribute to finding well-matched first positions, while for public employment services, results are mixed. When the job search is not supported by institutions, graduates generally do worse finding their first jobs, particularly when temporary employment agencies are involved. There are also large differences in mismatch risks across fields of study.

If more graduates found their first jobs through internships and university job placement services, educational mismatch rates would decrease substantially. Further collaboration between universities and employers for the provision of high-quality internships may foster their conversion into regular, well-matched jobs. Industrial policies addressed to knowledge-based economic activities would enhance the creation of highly skilled positions. Further orientation towards STEM degrees is required to improve imbalances between supply and demand for graduate labour in Spain.

Evidence about education mismatch among master's degree graduates is very scarce. This paper compares them to bachelor's degree graduates. It addresses two complementary types of education mismatch and takes into account potential self-selection into post-graduation job search.

There has been limited research on why football clubs contribute to charity. This paper examines how football clubs and their charitable conduits report information when discussing their connectedness. In addition, it explores reasons why, and the extent to which, football clubs support altruism via such charitable vehicles.

Case studies of four major football teams (Manchester City/Manchester United in England and AC Milan/Inter Milan in Italy) are discussed, with formal reports of the clubs and their associated charitable conduits being analysed.

Boundaries between the clubs and their charitable conduits are frequently blurred. Evidence suggests that acknowledging the co-existence of different factors may help to understand what is reported by these organisations and address some of the caveats in terms of autonomy and probity of their activities and reporting practices.

The research uses case studies of four major ‘powerhouses’ of the game and their associated charitable spinoffs. While this is innovative and novel, expanding the research to investigate more clubs and their charitable endeavours would allow greater generalisations.

The study provides material that can be used to reflect on the very topical subject of ‘sportswashing’. This has the potential to input to deliberations relating to the future governance of the game.

The paper explores relationships between businesses and charities/nonprofits in a sector so far little investigated from a charitable accountability perspective. It suggests that motives for engaging in charitable activity and highlighting such engagement may extend beyond normal altruism or warm-glow emotions.

The paper aims at assessing the role of the different stages of the employment process in gauging workers' willingness to upskill themselves at the end of a seasonal employment contract by investing in further training.

The paper analyses data from a dedicated survey administered to a sample of seasonal employees. Through a regression analysis it explores the different stages of the employment process (job search, selection on the job activities), making a distinction between monetary and nonmonetary components of the investment in training.

Results show that all stages matter, but they do not have the same importance. Ex-ante motivations and work experience, notably the level of perceived workload and organizational commitment, are the main factors affecting workers' willingness to acquire industry-specific skills through training.

So far, the literature has extensively dealt with the poor levels of training in seasonal employers, but it did not analyse worker’s willingness to invest in training over the different stages of the worker experience. This paper fills this gap by separately testing the relative importance of such stages and identifying the most important phases of the employment process.

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 article extends the distinction of semantic from syntactic labour to comprehend all forms of mental labour. It answers a critique from de Fremery and Buckland, which required envisaging mental labour as a differentiated spectrum.

The paper adopts a discursive approach. It first reviews the significance and extensive diffusion of the distinction of semantic from syntactic labour. Second, it integrates semantic and syntactic labour along a vertical dimension within mental labour, indicating analogies in principle with, and differences in application from, the inherited distinction of intellectual from clerical labour. Third, it develops semantic labour to the very highest level, on a consistent principle of differentiation from syntactic labour. Finally, it reintegrates the understanding developed of semantic labour with syntactic labour, confirming that they can fully and informatively occupy mental labour.

The article further validates the distinction of semantic from syntactic labour. It enables to address Norbert Wiener's classic challenge of appropriately distributing activity between human and computer.

The article transforms work in progress into knowledge for diffusion.

It has practical implications for determining what tasks to delegate to computational technology.

The paper has social implications for the understanding of appropriate human and machine computational tasks and our own distinctive humanness.

The paper is highly original. Although based on preceding research, from the late 20th century, it is the first separately published full account of semantic and syntactic labour.