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Although prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these technologies could be integrated to achieve better results. Based on this, we propose several collaborative networks combining technologies associated with Industry 4.0.

A literature review was performed using a research model to support the evaluation and identification of key and collaborative technologies related to Industry 4.0. We examined these technologies using hierarchical cluster analysis and principal components analysis, based on their characteristics.

The study identified big data, cloud computing, the internet of Things and cyber-physical systems as key technologies for Industry 4.0, and a further eight collaborative technologies that are strongly related to industrial performance. We found five collaborative networks with distinct goals in the context of Industry 4.0: (1) smart manufacturing; (2) technological platforms; (3) market reactiveness; (4) smart products and (5) flexibility.

The findings allowed us to create five pathways for future work on Industry 4.0 technologies via collaborative networks. In practice, this will help managers to improve their focus on priorities regarding the implementation of Industry 4.0 technologies.

This study provides insights into how to establish links between technologies through collaborative networks for certain purposes. In addition, we propose five future directions for these collaborative networks that require further investigation by researchers.

This research examines the impact of integrating lean manufacturing (LM) principles and Industry 4.0 (I4.0) into the product development process (PDP) of manufacturing companies in southern Brazil, with the objective of improving market performance (MP).

A survey was conducted with 110 product development managers to evaluate the level of LM and I4.0 principles, PDP phases, and the improvement of MP. Quantitative analysis was employed to analyse the data, including confirmatory factor analysis (CFA) and ordinary least squares (OLS) hierarchical regression.

The study reveals that integrating LM and I4.0 principles in the PDP enhances product development and positively impacts the MP of manufacturing companies. Additionally, I4.0 partially mediates the LM-PDP relationship, while LM partially mediates the I4.0-PDP relationship, highlighting their interdependence rather than one being a prerequisite for the other.

The study has limitations regarding its narrow focus on product development managers in Brazil and the absence of multiple case studies.

The study emphasises the importance of coordinated efforts in manufacturing companies to adopt and manage both LM and I4.0 principles, as they positively impact all phases of the PDP and ultimately contribute to the overall MP of the companies.

The novelty of this study lies in its systemic approach, examining the relationships and effects of LM and I4.0 principles on the PDP, and demonstrating how these effects manifest in manufacturing companies.

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 use of management processes based on a systemic approach in the management of organizations aims the perception of the organizations in a more comprehensive way, integrating the various activities through the verification of the horizontal vision of the customer's satisfaction. But this perception is not easy to achieve. Thus, in order for the process management, a survey was conducted in the monitoring of performance indicators of a manufacturer of children's toys company, midsized, located in the Rio Pardo Valley, in the city of Santa Cruz do Sul, Rio Grande do Sul State – Brazil.

It was evaluated the indicators used by the organization in the following dimensions: products, main processes, support processes, learning and growth, customer, strategy and plans, with the aim of permeating the vision of process management. From the results tabulation it was possible to realize the understanding of the process agents studied in relation to the business, mission, organizational vision and values, as well as establish indicators measured among which are the active, inactive and absent.

At the end, the results of this research showed important facts perceived by the organization in the development and deployment of its performance or development indicators. The amount of 36 percent of the indicators analyzed are active and of these only 16 percent are related to the customer perspective.

With the study it was possible to identify which organization's objectives are disclosed and accompanied, through commitment and discipline are suggested improvement ideas to contribute to the mission, vision and values that are fully disseminated among the employees.

This article aims to identify strategies used by a midsize meatpacking plant company located in the state of Rio Grande do Sul, Brazil, in order to remain competitive in the market. Thus, the purpose of this paper is to understand which strategies the company uses and how those have been designed according to the company managers.

Concerning the methodology, a descriptive research was developed as a case study. The data collection was accomplished through researches on official company documents which describe its history and are used for several tasks. This information source pointed out critical events during the history of the organization which allowed the researchers to identify the strategies developed and implemented through its leaders' insight during those historical periods when the company was in crisis.

Mintzberg and McHugh's model was applied to identify strategies, as well as discovering the effects they obtained by using them. It has been observed that in order to remain competitive in the market, the company used strategies classified as Deliberate‐Accomplished and Emergent.

Through this case study it has been possible to identify the strategies created and applied by the meatpacking company's managers in order to remain competitive in the market.

The purpose of this paper is to draw a picture on the reality of furniture industries in relation to management practices for project design of new products.

In order to do so it was developed a multiple case study in three companies of the sector located in Santa Maria, Rio Grande do Sul. This study was based on verification criteria focussing on project’s lifecycle.

As a result, it was possible to detect major faults from the organizations examined, it was found that processes are analyzed in a non-formalized and non-standardized way and, thus, restricting the integration of the projective stages, which reduced the quality of the final product.

From the results obtained in the multiple case study, it was possible to propose actions managerial characteristics that demonstrate the process of design of new products as a result of an operational standard, integrated with the management practices of the organization.

The purpose of this paper is to study the level of importance existing among the indicators that were previously defined for a Performance Measurement Systems (PMS) and are relative to franchises in Brazil, using the Analytic Hierarchy Process (AHP) methodology, together with a series of tests, which are responsible by verifying the degree of reliability, robustness and stability of the parameters used and the results obtained. As a result, the author suggests that the diagnosing of the five delimited indicators have different relevance assigned to them.

This paper reviews extant literatures in Franchise, PMS, Multiple Criteria Decision Making (MCDM), in specific the theory about AHP.

The authors found that it was possible justified, for both the relative and the evaluative method, that the I3 was the main point of the system and, as a consequence, be considered as priority when talking about sectorial development of franchises in Brazil. As for the other indicators, even being located in a level lower than I3, they must be taken into contemplation in these measurements, however, with a relatively inferior importance degree.

It was possible to better comprehend which economics and non-economic factors selected have a more predominance in the Brazilian franchise context, according to characteristics of the companies present.

The absence of scientific papers that describe the relevance level of the main factors that influence in the Brazilian franchise system.