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This study aims to perform a benefit segmentation and then a classification of visitors that travel to the Rocha Department in Uruguay from the capital city of Montevideo during the summer months.

A convenience sample was obtained with an online survey. A total of 290 cases were usable for subsequent data analysis. The following statistical techniques were used: hierarchical cluster analysis, K-means cluster analysis, machine learning, support vector machines, random forest and logistic regression.

Visitors that travel to the Rocha Department from Montevideo can be classified into four distinct clusters. Clusters are labelled as “entertainment seekers”, “Rocha followers”, “relax and activities seekers” and “active tourists”. The support vector machine model achieved the best classification results.

Implications for destination marketers who cater to young visitors are discussed. Destination marketers should determine an optimal level of resource allocation and destination management activities that compare both present costs and discounted potential future income of the different target markets. Surveying non-residents was not possible. Future work should sample tourists from abroad.

The combination of market segmentation of Rocha Department’s visitors from the city of Montevideo and classification of sampled individuals training various machine learning classifiers would allow Rocha’s destination marketers determine the belonging of an unsampled individual into one of the already obtained four clusters, enhancing marketing promotion for targeted offers.

This study aims to investigate the impact of digital technologies for intangible assets management. The authors analyse how technological innovations and regulations of intellectual property affect business models of companies or intellectual property rights (IPR) intensive industries to determine the impact of digital transformation on intangible assets management, highlighting emerging issues and future effects of the digital technology revolution.

The authors use a case study method to answer our research questions. The authors use Soundreef SpA as our case study, a collecting company that develops technology for monitoring, collecting and maximising the earnings of songwriters and music publishers. The authors also elaborate and adopt the framework of the enhanced intellectual capital as the theoretical lens for presenting and analysing our case study, determining how the digital transformation caused business model innovation and more transparent and timely performance measurement in copyright-based companies.

The analysis of Soundreef SpA’s business model allows us to demonstrate how using new technologies drives the performance measurement of copyright holders and improve the collecting societies’ performance, introducing a new key performance indicator. This turning point is made possible by digital transformation and regulatory change. In the IPR industry, copyright holders’ performance has never been calculated, so the distribution of copyright revenues was based on the criteria approved by governance bodies/management.

In the study, the authors demonstrate that digital transformation is able to enhance the intellectual capital of IPR-intensive companies introducing new ways to manage intangible assets and to measure performance.

This paper aims to analyze how the internationalization process of Brazilian microbreweries takes place, especially in factors of propensity to internationalization, competition and survival in the national and international market.

The authors adopted qualitative approach research, using a multiple case study strategy, analyzing seven Brazilian craft breweries. The authors developed this study through documentary research, semi-structured interviews and nonparticipant observation.

The research findings made it possible to characterize the internationalization process motivated by the background and international experience of entrepreneurs that adopted different strategies for expansion in the international market. The authors noticed that the networks developed in production partnerships, festivals and international missions represent an increase in the ease of internationalization and helps to reduce the risk perception.

The contributions refer to the conjecture that the born global's evolution related to the high competitiveness of the market is influenced by the international background of the founders and by the influence of the international network, overcoming institutional and market challenges in emerging countries, assuming risks associated with rapid and early entry into the international arena.

The paper is potentially useful for managerial practice and policymakers by providing insights into the characteristics of entrepreneurs and companies considering their propensity to internationalize, presenting how entrepreneurs and managers can seek resources and develop their skills and capacities to manage such companies and processes of internationalization.

The research is presented as a complementary study to the limited number of studies examining born globals from emerging markets, also challenging the arguments of the dominant theory regarding gradual and nonlinear internationalization.

The purpose of this paper is to examine the effect on price of different cruise industry characteristics from the point of view of actual prices. The analysis is carried out from the supply side but taking into account the real prices paid by customers.

This paper uses the hedonic price methodology. To develop this research, a database of more than 36,000 prices paid by cruise passengers and different characteristics of ships in 2013 was built. To obtain the results, ten models have been developed with significant adjusted R² of between 0.85 and 0.93 making the models and results robust.

The results show that the main attributes affecting prices are the number of nights of the itinerary, the departure date, the number of days before departure the booking is made, the accommodation type and some facilities, such as casinos, cinemas and swimming pools. The results also yield a ranking of ship companies based on price and quality dimensions. Finally, the authors suggest some implications for management and new research.

This paper offers a new approach in the academic literature of the cruise industry in two respects. First, in its use of a broad database of actual prices paid by passengers – more than 36,000 observations. Second, in the application of the hedonic pricing methodology, widely used in the tourism sector (see the Methodology and Database section) but until now not in the cruising segment.

This paper aims to identify a possible mismatch between the theory found in academic research and the practices of investment managers in Brazil.

The chosen approach is a field survey. This paper considers 78 survey responses from 274 asset management companies. Data obtained are analyzed using independence tests between two variables and multiple regressions.

The results show that most Brazilian investment managers have not adopted current best practices recommended by the financial academic literature and that there is a significant gap between academic recommendations and asset management practices. The modern portfolio theory is still more widely used than the post-modern portfolio theory, and quantitative portfolio optimization is less often used than the simple rule of defining a maximum concentration limit for any single asset. Moreover, the results show that the normal distribution is used more than parametrical distributions with asymmetry and kurtosis to estimate value at risk, among other findings.

This study may be considered a pioneering work in portfolio construction, risk management and performance evaluation in Brazil. Although academia in Brazil and abroad has thoroughly researched portfolio construction, risk management and performance evaluation, little is known about the actual implementation and utilization of this research by Brazilian practitioners.

This study aims to provide a picture of the current state of art in the use of big data for decision-making processes for the management of health-care organizations.

A systematic literature review was carried out. The research uses two analyses: descriptive analysis, describing the evolution of citations; keywords; and the ten most influential papers, and bibliometric analysis, for content evaluation, for which a cluster analysis was performed.

A total of 48 articles were selected for bibliographic coupling out of an initial sample of more than 5,000 papers. Of the 48 articles, 29 are linked on the basis of their bibliography. Clustering the 29 articles on the basis of actual content, four research areas emerged: quality of care, quality of service, crisis management and data management.

Health-care organizations believe strongly that big data can become the most effective tool for correctly influencing the decision-making processes. Thus, more and more organizations continue to invest in big data analytics, and the literature on this topic has expanded rapidly. This study seeks to provide a comprehensive picture of the different streams of literature existing, together with gaps in research and future perspectives. The literature is mature enough for an analysis to be made and provide managers with useful insights on opportunities, criticisms and perspectives on the use of big data for health-care organizations. However, to date, there is no comprehensive literature review on the big data analysis in health care. Furthermore, as big data is a “sexy catchphrase,” more clarity on its usage may be needed. It represents an important tool to be investigated and its great potential is often yet to be discovered. This study thus sheds light on emerging issues and suggests further research that may be needed.

This paper explores Lean Six Sigma principles and the DMAIC (define, measure, analyze, improve, control) methodology to propose a new Lean Six Sigma 4.0 (LSS 4.0) framework for employee occupational exams and address the real-world issue of high-variability exams that may arise.

This study uses mixed methods, combining qualitative and quantitative data collection. A detailed case study assesses the impact of LSS interventions on the exam management process and tests the applicability of the proposed LSS 4.0 framework for employee occupational exams.

The results reveal that changing the health service supplier in the explored organization caused a substantial raise in occupational exams, leading to increased costs. By using syntactic interoperability, lean, six sigma and DMAIC approaches, improvements were identified, addressing process deviations and information requirements. Implementing corrective actions improved the exam process, reducing the number of exams and associated expenses.

It is important to acknowledge certain limitations, such as the specific context of the case study and the exclusion of certain exam categories.

The practical implications of this research are substantial, providing organizations with valuable managerial insights into improving efficiency, reducing costs and ensuring regulatory compliance while managing occupational exams.

This study fills a research gap by applying LSS 4.0 to occupational exam management, offering a practical framework for organizations. It contributes to the existing knowledge base by addressing a relatively novel context and providing a detailed roadmap for process optimization.