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Academic research into entrepreneurship policy is particularly interesting due to the increasing relevance of the topic and since knowledge about the evolution of themes in this field is still rather limited. The purpose of this paper is to analyse the key concepts, topics, trends and shifts that have shaped the entrepreneurship policy research agenda during the period 1990–2016.

This paper uses text mining techniques, cluster analysis and complementary bibliographic data to examine the evolution of a corpus of 1,048 academic papers focused on entrepreneurship-related policies and published during the period 1990–2016 in ten relevant journals. In particular, the paper follows a standard text mining workflow: first, as text is unstructured, content requires a set of pre-processing tasks and then a stemming process. Then, the paper examines the most repeated concepts within the corpus, considering the whole period 1990–2016 and also in five-year terms. Finally, the paper conducts a k-means clustering to divide the collection of documents into coherent groups with similar content. The analyses in the paper also include geographical particularities considering three regional sub-corpora, distinguishing those articles authored in the European Union (EU), the USA and South and Eastern Asia, respectively.

Results of the analysis show that inclusion, employment and regulation-related papers have largely dominated the research in the field, evolving from an initial classical approach to the relationship between entrepreneurship and employment to a wider, multidisciplinary perspective, including the relevance of management, geographies and narrower topics such as agglomeration economics or internationalisation instead of the previous generic sectorial approaches. The text mining analysis also reveals how entrepreneurship policy research has gained increasing attention and has become both more open, with a growing cooperation among researchers from different affiliations, and more sophisticated, with concepts and themes that moved the research agenda forward, closer to the priorities of policy implementation.

The paper identifies main trends and research gaps in the field of entrepreneurship policy providing actionable knowledge by presenting the spectrum of both over-explored and understudied research themes in the field. In practical terms the results of the text mining analysis can be interpreted as a compass to navigate the entrepreneurship policy research agenda.

The paper presents the heterogeneity of topics under research in the field, reinforcing the concept of entrepreneurship as a multidisciplinary and dynamic domain. Therefore, the definition and adoption of a certain policy agenda in entrepreneurship should consider multiple aspects (needs, objectives, stakeholders, expected outputs, etc.) to be comprehensive and aligned with its complexity. In addition, the paper shows how text mining techniques could be used to map the research activity in a particular field, contributing to the challenge of linking research and policy.

The exploratory nature of text mining allows us to obtain new knowledge and reveals hidden patterns from large quantities of documents/text data, representing an opportunity to complement other qualitative reviews. In this sense, the main value of this paper is not to advise on the future configuration of entrepreneurship policy as a research topic, but to unwrap the past by unveiling how key themes of the entrepreneurship policy research agenda have emerged, evolved and/or declined over time as a foundation on which to build further developments.

This study aims to present an innovative sandbox platform that implements a decision support system (DSS) to assess the sustainable development goals (SDGs) addressed at the municipal level. It intends to determine the relative importance of each SDG in municipalities and explore the synergies that can be discovered among them.

Participatory action research is used to develop a DSS and an algorithm designated as discrete heavy fuzzy was also developed, which extends the Apriori algorithm to include discrete quantitative assessments of the level of SDG compliance by each project. A scenario consisting of three municipalities in Portugal (i.e. Porto, Loulé and Castelo de Vide) was chosen to demonstrate the implementation of the sandbox platform and to interpret the observed results.

The results reveal significant differences in the typology of SDGs addressed by each municipality. It was found that municipal sustainable projects are strongly influenced by the contextual factors of each municipality. Porto has projects that address the first five SDGs. Loulé appears projects that promote innovation, the fight against climate change and the development of sustainable cities. Castelo de Vida has initiatives related to innovation and infrastructure and decent work and economic growth.

This study provides knowledge about the relative importance of the SDGs in Portuguese municipalities and explores the synergies among them. The proposed sandbox platform fills the gaps of the ODSlocal Webtool by proposing a dynamic and interactive approach for the exploration of quantitative indicators regarding the implementation status of the SDGs established in the 2030 Agenda.

This study provides knowledge about the relative importance of the SDGs and the various synergies that exist between them considering the Portuguese municipalities. The sandbox platform presented and developed within this study allows filling the gaps of the ODSlocal Webtool that gathers essentially qualitative information about each project and offers a dynamic and interactive exploration with quantitative indicators of the implementation status of the SDGs established in the 2030 Agenda.

The purpose of this paper is to provide an overview of the direct involvement of public administrations in the supply side of electronic communications markets based on the Spanish experience. It is an example of the difficult balance in the public private interplay in next generation electronic communications networks.

Starting from a general overview of the conditions for public intervention in the development of infrastructures established by the electronic communications regulatory framework, this paper analyses the case of Spain as an illustrative example taking into consideration some specific initiatives to illustrate the different possible mechanisms of intervention on the supply side.

It is the opinion of the authors that a framework of public‐private collaboration in the field of electronic communications infrastructure development is consistent with the industry liberalisation model chosen one decade ago in Spain and it could be particularly adequate in an environment of financial hardship such as the present one, which leads to a greater demand for efficiency in the use of public and private resources. However, the conditions and limitations for public involvement should be persistently respected. In addition, there are novel policy instruments on the supply side that could help the deployment of next generation networks without the burden of substituting private initiative.

The paper presents a systematic analysis of policy instruments for direct intervention of public administrations in the supply side of electronic communications market, including the specific situation of Spain. It is also a contribution to the debate on the role of public administrations in developing electronic communications infrastructures.

The aim of this work is to explain the final negotiated prices for some of the most famous transfers of football players over the last twelve years (2007–2018).

The article analyses different values for forwards taken from the sports website Transfermarkt, developing a statistical model based on personal, performance, risk, environmental and popularity variables. From those values, the article finds an explanation for the final prices paid for 20 superstar players based on a combination of real option valuations, incorporating the players' life cycles and game theory.

The authors find that in a large percentage (70%) of the analysed cases, the price paid was higher than the intrinsic market value resulting from Transfermarkt, implying the existence of monopolistic rents, paid as “growth options” on prices from different negotiating conditions. On occasions, the final prices also exceed the value of the growth option, calculated under neutral bargaining conditions, highlighting the lack of economic viability of important transfers, leading to financial difficulties for the clubs involved.

The algorithm provides more flexibility and realism than previous proposals, based on the life cycle of football players, introducing the uncertainty and volatility of projections through Monte Carlo simulation, the capacity of clubs to bargain a price at any point of the contract and finally, the buyer's ability to transfer the player if his subsequent performance is not as expected.

The purpose of this paper is to present an overview of the policy tools to complement public involvement and public‐private collaboration in the deployment of next generation electronic communications infrastructures.

The special issue, of which this paper is a part, examines a number of policy tools that support public involvement and enhance public‐private partnering in next generation infrastructures, tools that are generally overlooked. The papers explore the main domains where these complementary actions might take place. They encompass policies directed to the demand and supply sides of the market, information society and industrial innovation policies, additional measures that can be taken by local and regional public administrations and new policy tools to foster user empowerment.

From the authors' perspective, public involvement and public‐private partnering for the deployment of next generation infrastructures in telecommunications will require an integrated policy approach. The appropriate policy mix includes instruments of innovation, information society development and new user empowerment.

This paper introduces a timely contribution to the debate on public support of next generation infrastructures in electronic communications.

This research proposes analytical valuation models throughout football players' life cycles based on crowd valuations from social media to produce dynamic sporting human capital disclosures, and therefore, supplying further useful information to capture the intellectual capital (IC) of football clubs.

This work is carried out using an econometric model that includes 658 observations of crowd judgments versus their transfer fees, for the best footballers of the three major European Leagues between 2006 and 2018. To make the model more parsimonious, the set of independent variables that really add value has been found across the stepwise methodology.

The significant differences between both models are analyzed, integrating previous academic literature based on the existence of negotiation elements in prices, and in the capacity of crowdsourcing to explain assessments of football players, from a dynamic perspective, alongside a new variable: injuries, which has not been explained before.

The broader assessments from crowdsourcing should be integrated in intellectual capital disclosures (ICD), from a critical, novel and dynamic perspective, creating a virtuous cycle between managers and fans, to increase transparency of financial information for stakeholders and society.

This study aims to identify the impact of restaurant pandemic mitigation measures on perceived service quality.

A total of 15,251 reviews were collected from 300 TripAdvisor Lisbon restaurant Web pages between March 2020 and December 2021, when Covid-19 contingency measures were in place. Grounded on the online reviews, a word frequency matrix was created and used as input on partial least squares–structural equation modeling to test the proposed hypotheses.

The results suggest that precaution measures, such as the Vaccination Certificate, negative tests and restaurant layout configuration, positively influenced perceived service quality and consumer satisfaction, moderated by consumers’ beliefs.

This study provides relevant information for restaurant managers, which will help them implement strategies to guarantee service quality, consumer satisfaction and revisit intentions in future pandemic scenarios.

This study aims to unveil within the current academic literature the principal directions in the ethnic entrepreneurship and small business marketing research context.

An automated literature analysis procedure was undertaken, attempting to cover all literature published on the subject since 1962. A total of 188 articles were analysed using text mining and topic modelling.

The results show a lack of framing of ethnic entrepreneurship literature outside the narrower scope of migration. Some core themes were found (e.g. network, diversity) around which several other themes orbit, including both related issues to the ethnic factor (e.g. barriers and minorities) and managerial issues (e.g. marketing and production).

Ethnic minority business and small business marketing research has seen a growing number of publications. However, a careful review of existing work is missing.

This study aims to understand if an online dating app is considered an acceptable channel to conduct advertising activities and understand the differences between Generations X, Y and Z for such acceptance.

A total of 411 Tinder users’ reactions were obtained and analyzed using text mining to compute the sentiment score of each response, and a Kruskal–Wallis H test to verify if there are statistical differences between each generation.

The results showed positive acceptability toward the marketing campaign on Tinder, especially Z Generation. Nevertheless, the statistical analysis revealed that the differences between each generation are not statistically significant.

The main limitation relates to the fact that the participants, during the data collection, revealed their identification, perhaps leading to acquiescence bias. In addition, the study mainly covered the male population. A balanced sample would be positive to examine any possible differences between gender.

Results provide an essential indication for companies regarding their marketing activities conducted on Tinder to fully exploit the possibility of using Tinder as an alternative and valuable channel to conduct marketing activities.

Up until now, no studies tried to understand the effect of a marketing activity online on an online dating app.

Strategic goal achievement in every sector of a company relies fundamentally on the firm's employees. This study aims to disclose the factors that spur employees of major Information Technology (IT) companies in the United States (US).

In this paper, 15,000 reviews from the top 15 United States IT companies were collected from the social media platform Glassdoor to uncover the factors that satisfy IT employees. To learn the most meaningful features that influence the scores, positive and negative remarks, as well as advice to the management team, were analyzed through a support vector machine.

Results highlight a positive attitude of coworkers, contributing to a positive environment and job satisfaction. However, unsatisfied IT employees reveal that work exhaustion is the main reason for their job dissatisfaction.

IT human resource departments can use these valuable insights to align their strategies in accordance with their employees' desires and expectations in order to thrive.

The study highlights the relevance of IT companies to understand the reasons behind their employees' satisfaction. Up until now, little is known concerning the variants of job satisfaction among IT employees, enriching the understanding in this particular professional area.