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This paper aims to propose a structured model based on a data mining algorithm that can calculate, based on business association (BA) attributes, the probability of micro and small enterprises (MSEs) becoming a new member of a BA. Another goal is the probability of a BA attracting new members.

As a methodological procedure, the authors used the Naive Bayes data mining algorithm. The collected data were analyzed both quantitatively and qualitatively and then used to define the model, which was tested randomly, while allowing for the possibility of future validation.

The findings suggest a structured model based on a data mining algorithm. The model can certainly be used as a management tool for BAs concentrating their efforts on those businesses that are certainly potential new recruits. Further, for an MSE, it serves as a means of evaluating a BA, indicating the possible advantages in becoming a member of a particular association.

This paper is not intended to be generalized, considering that it only analyzes the BAs of Rio Grande do Sul, Brazil. In this way, when applying this model to other situations, the attributes listed here can be revised and even modified to adapt to the situation in focus.

The use of the proposed model will make it possible to optimize the time of BA managers. It also gives MSE greater reliability in choosing BA.

Using this model will provide better decision-making and better targeting, thus benefiting both the BAs and the MSEs, which can improve their management and keep jobs.

This paper contributes to the literature because it is the first to connect BAs, MSEs and Naive Bayes. Also, this study helps in better management for BA managers in their daily activities and provides a better choice of BA for MSE managers. Also, this study contextualizes BAs, MSEs and data mining in an objective way.

The study compares how distinct mechanisms that connect pre-established policy objectives to professionals' practices, and the health policy implementation context influenced different approaches to frontline staff participation. The authors analysed 26 teams in six cities from two Brazilian states, during the last cycle of the National Program for Improving Access and Quality of Primary Care (PMAQ).

About 172 in-depth interviews were conducted with frontliners – community health workers (78), nurses (37), doctors (30) – and managers (27). Interview guides were based on key issues identified in the implementation and pay-for-performance (P4P) literature. Drawing on thematic analysis and synthesis of the literature, three types of participation mechanisms were identified: relational, motivational and incremental learning. They were analysed considering distinct contexts at the local level to understand how they influenced different forms of participation: mere adherence, result-oriented and transformative.

Administrations with stronger institutional organizational structures were able to control work processes and reduce professional discretion. However, sustained participation was more likely where there was greater integration between management and frontline health care teams. Motivation based only on financial incentives could not bring about transformative participation. This depended on the degree of professional's ideational motivation towards primary care. Finally, contexts with unfavourable working conditions tend to demotivate professionals, but incremental learning helps teams cope with these obstacles.

The study overcomes gaps in the literature in relation to PMAQ's implementation process. Overall, the study delves into which/how mechanisms alter frontliners participation in performance-oriented health programs.

The purpose of this paper is to analyse the relationship between the motivation and satisfaction of visitors, both tourists and residents, of a sacred urban complex located in Santa Catarina, Brazil.

This descriptive research uses quantitative and survey methods to collect the data. The sample of this study consists of 400 visitors, comprising tourists and residents who were in Vale das Graças, Santa Catarina, Brazil, between August and September 2019. Descriptive statistics and linear regression analysis were used to analyse the data.

The results of this study showed people who visit the site for reasons of religious belief, cultural pleasure and mental relaxation feel satisfied and emotionally touched by the religious atmosphere. It was also perceived that all dimensions of satisfaction significantly influenced the motivation to visit the Vale da Graça; that is, tourists and residents tend to feel more motivated to visit the Sacred Complex when they are satisfied with the contact with faith provoked by the visit.

This research provides theoretical and managerial contributions. Initially, this study contributes to research related to urban religious tourism and the perception of residents and tourists (visitors) in relation to a sacred complex. In general, this research on the subject investigated only the tourist's perspective. In addition, this study also brings management contributions for the destination administrators by understanding the behaviour of visitors to religious tourist sites located in the urban area of municipalities and giving their opinions on the satisfaction and motivation of aspects related to religious contact to visit such sites, thus helping in the management process of the attraction and surroundings.

This study aims to evaluate the suitability of emergency remote education (ERE) during the COVID-19 pandemic and subsequently during the return to in-person education (IPE), investigating aspects of perceived quality differences in these transitions that may have impacted the students’ learning process.

This study applied a 41-item instrument to undergraduate students in higher education institutions (HEIs) in Brazil. For the suitability group, 493 responses were collected, and for the return to IPE group, 187 responses were collected. Three calibration approaches were performed using item response theory, with the first two adjusting data independently, and the third one involving a multigroup estimation.

During ERE, students perceived an increase in course offerings, better organization of classes and more study materials. However, the larger volume of content posed challenges in class monitoring, content comprehension and concentration. Upon returning to IPE, students noticed more organized assessments and activities. They found favorable test environments and collaborative tasks with peers, but they experienced difficulties in accessing professors and with class/content organization.

By identifying the most suitable items for both teaching formats, HEIs can enhance teaching practices that are more satisfactory from the students’ perspective.

This study provides an item ranking procedure inspired by differential item functioning and differential test functioning statistics. In an atypical situation, the item ranking procedure demonstrated its ability to generate useful information for identifying and quantifying the longitudinal effects of perceived quality on students.

Students are expected to achieve identify the prerequisites and basic to an institutionalization process; prioritize strategic human resources processes as a basis for the growth of the company; analyze the importance of the stages in human resources management; define the areas of opportunity and their respective action plans; and propose the leadership skills that a leader requires.

Tramuntana® is a travel agency that stands out for being a prime service, which is promoted by its own customers. Its founder wishes to institutionalize his company. The main problem in which they face to grow and consolidate is to maintain their human resources, and in which they cannot be retained, and therefore, do not have a solid structure.

Undergraduate and Graduate School of Business and executive education.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 1: Accounting and Finance.

The paper presents the concept of Solidarity Economy proposed by the Austrian-Brazilian economist and professor Paul Singer who passed away in 2018 at age 86 years in his home in São Paulo. Singer arrived at the concept of Solidarity Economy by mixing utopian socialist thought originated in Europe during the Industrial Revolution with the wisdom of Latin American working people to find alternative paths to the capitalist economic system. Following the teachings of Paul Singer, we, as practitioners and academics, report the first stage of the formation of a popular cooperative in the sector of recycling that occurred between 2019 and 2021 in the Town of Goiás, Goiás, Brazil. Our analysis of this collective endeavour leads to two main lessons: first, Solidarity Economy is an even broader proposal of an alternative to the capitalist economy than Paul Singer imagined, because its roots are not restricted to the European cooperativism of the nineteenth century, and second, economics must be taught in more popular way because the most urgent economic problems affect primarily the working people.

This article aims to evaluate the effect of organic coffee certification on coca cultivation, based on a survey of 496 members from coffee cooperatives located in the upper Tambopata valley in Peru. Coca is a bush from the leaves of which cocaine is extracted.

The results were estimated using the propensity score matching methodology.

The results suggest that participation in organic coffee certification statistically significantly reduces the scale of coca cultivation.

This paper analyses a unique primary data set from a coca-growing region in Peru. The value of this paper is that the results suggest that under specific conditions, such as reasonable high and stable coffee prices, organic coffee certification can be an effective element of drug control policy in Latin America.

The data monetization market is valued at $1.5 billion, with an expected annual growth rate of 25%. This growth presents significant opportunities for companies to expand their revenue streams. However, many companies struggle to extract value from their data due to existing challenges and need for more knowledge. While existing studies describe and classify dimensions of the phenomenon, there is a need to explore causality relations that can help the structuring of data monetization processes. This study aimed to support the structuring of the data monetization process.

Proposing causality relations is important to explore the data monetization phenomenon. Therefore, empirical knowledge about data monetization was organized into design patterns using the context-intervention-mechanism-outcome (CIMO) logic. The effectiveness of these patterns was then assessed through an exploratory case study conducted at a leading Brazilian academic institution where data monetization is central to its business model.

The study yields six design patterns that address various aspects such as data pricing, data-driven business models and best practices for data monetization. Additionally, it presents a comprehensive understanding of the data monetization process through a value-added chain framework.

The findings contribute to the advancement of knowledge in the field, the proposition of causality, and offer valuable insights into organizations that wish to structure their resources and capabilities and leverage data.

This paper aims to investigate the effects of political skill in a specific workplace setting – the job negotiation. The authors expected negotiator political skill to be positively related to distributive negotiation outcome, problem-solving as a negotiation strategy to mediate this relationship and political skill to also moderate – that is amplify – the link between problem-solving and negotiation outcome.

In Study 1, a laboratory-based negotiation simulation was conducted with 88 participants; the authors obtained self-reports of political skill prior to the negotiation and – to account for non-independence of negotiating partners’ outcome – used the Actor–Partner Interdependence Model for data analysis. Study 2 was carried out as a real-life negotiation study with 100 managers of a multinational corporation who were given the opportunity to re-negotiate their salary package prior to a longer-term foreign assignment. Here, the authors drew on two objective measures of negotiation success, increase of annual gross salary and additional annual net benefits.

In Study 1, the initial hypothesis – political skill will be positively related to negotiator success – was fully supported. In Study 2, all three hypotheses (see above) were fully supported for additional annual net benefits and partly supported for increase of annual gross salary.

To the authors' best knowledge, this paper presents the first study to examine political skill as a focal predictor variable in the negotiation context. Furthermore, the studies also broaden the emotion-centered approach to social effectiveness that is prevalent in current negotiation research.

The extant service ecosystem literature rarely addresses the dark side of actors’ agency, which hinders further development of the service-dominant (S-D) logic, particularly with regard to understanding service ecosystem dynamics. Therefore, the purpose of this paper is to delineate the dark-side facets of actors’ agency that adversely affect actor-to-actor relationships and resource integration, in the context of shaping service ecosystems.

With abductive reasoning, this study seeks to reorient results from prior literature in accordance with empirical findings. The empirical data pertain to 21 firms in Finland, New Zealand, Singapore and Sweden, representing various industries, sizes, international reach, technologies, ownership forms and histories.

The dark side of agency emerges as an actor’s deliberate attempts to influence a service ecosystem to achieve self-interested benefits, despite understanding that these actions inhibit other actors from providing service and can be detrimental to other actors and the ecosystem. The findings also reveal three facets of the dark side: conflict, ambiguity and opportunism. The process of shaping service ecosystems is prone to systematic conflict, ambiguous and opportunistic behaviours occurring between the focal actors’ ecosystem and other ecosystems vying for the same set of resources.

This study advances the S-D logic by addressing the crucial role of agency in a dialectical relationship with institutions and structures. Service-for-service exchanges can take place in asymmetric, ambiguous, opportunistic situations driven by self-interested motives.

Processes aimed at shaping service ecosystems can demonstrate the dark sides of actors’ agency, related to conflict, ambiguity or opportunism. Managers interested in shaping strategies should be prepared for this outcome.

A service ecosystem perspective requires policy makers and regulators to reconsider their role in shaping processes. No “invisible hand” guides markets to equilibrium, so they should be more proactive in shaping ecosystems, rather than merely fixing market failures.

This research offers the first S-D logic-based investigation into the dark side of actors’ agency in shaping service ecosystems.