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Startups have attracted increased attention over the past years. While entrepreneurs develop startups to capture new business opportunities, also large companies are turning to these fast-growing organizations in efforts to become more agile. However, managing business model innovation and validation is challenging. A number of methodologies, like the Lean Startup (LS), emerged to reduce uncertainties concerning innovation-based projects, and to contribute to business model validation. Despite its popularity, the literature on the LS and its key underpinnings (Agile Methodologies and Customer Development) is sparse, lacking an integrated and structured analysis of their impacts and potentialities. The paper aims to discuss this issue.

The authors conducted a comprehensive systematic literature review on the topic fully analyzing a final set of 71 papers.

There is a turning point in the research stream’s maturity with publications in conferences and major journals, with the predominance of empirical investigations in the European region. Articles on the topic are on the rise in several technology fields. However, the literature on the subject falls short on providing guidance to assist practitioners and scholars on the adoption and investigation of these methodologies.

The paper provides guidance for practice by presenting a staircase roadmap for the LS implementation drawing from the final set of papers reviewed.

The study categorizes the current literature through a concept map, and offers a structured research agenda beyond the categories from the thematic analysis.

Most studies investigating the adoption of lean startup (LS) practices by technology new ventures focus on software startups in mature entrepreneurial ecosystems and disregard their applicability for opportunity exploitation in other technological backgrounds. This study contributes to this research stream by exploring how Brazilian technology new ventures (in different technological fields) tentatively adopt LS to exploit opportunities and whether LS is suitable to their emerging economy context.

The authors adopt an exploratory multiple-case study based on qualitative data collection and analysis of nine Brazilian biotechnology, engineering and software startups.

The study shows how technology new ventures tackle the activities of opportunity exploitation – namely, developing a product or service, acquiring human resources, gathering financial resources and setting up the organization – by leveraging LS tools and practices for business model validation; also, it identifies six contextual constraints hindering the systematic adoption of LS and reveals how technology new ventures cope with such constraints in their early stages by integrating LS with complementary strategies and practices. Furthermore, the study reveals that the systematic and comprehensive adoption of LS nurtures the development of an entrepreneurial experimental capability to explore opportunities in a quasi-scientific and hypothesis-driven fashion.

The study investigates how Brazilian engineering, biotechnology and software startups exploit opportunities and overcome constraints to business model validation through the combined adoption of LS and complementary strategies and practices and provides a set of propositions to guide future research.

This paper aims to identify the determining factors for the financial performance (FP) of social enterprises in an emerging country, in this case Brazil.

This paper identifies the determinants of the FP of social enterprises in Brazil using the resource-based view as a theoretical lenses and the quantitative method (n = 601) of logistic regression, analyzing the importance of nine variables related to SEs.

The findings refer to practical contributions (which show how SEs should focus and allocate their resources to maximize FP) and theoretical contributions linked to entrepreneurship literature (by differentiating the results of this work from the literature on commercial entrepreneurship in terms of resources), social entrepreneurship literature (by presenting the resources that determine their FP), business literature, entrepreneurial finance and entrepreneurship in emerging economies.

This work represents a novelty from a methodological point of view, filling the gap regarding the lack of studies that apply a quantitative methodology to a large sample and analyze several different variables when most studies analyze only one factor related to the performance of an organization. It also fills the gap in entrepreneurship studies that use some theoretical lenses. This work is also a pioneer in analyzing the variables involved, such as market orientation, technologies and impact measurement in social entrepreneurship. As this work uses data from a secondary sample, there is the limitation of not choosing the analyzed variables. Even though there were many variables in the sample, it was impossible to consider some variables, referring to various aspects of resources and performance. For this same reason, the social performance of SEs, which is of fundamental importance within the objectives of any organization of this type, was not analyzed and may be a suggestion for future work.

Although active learning methodologies are recognized as an effective means to achieve expected educational demands, in practice, the teaching and learning processes are still widely characterized by traditional pedagogy aspects. As a result, teaching innovations in science, technology, engineering and math (STEM) education are carried out in isolation in specific disciplines, programs or departments. To addresses these challenges and to stimulate useful teaching innovations, this study aims to propose the capability maturity model to active learning (CMMAL) for assessing the maturity level of active learning methodologies in higher education institutions (HEIs).

The CMMAL provides inputs for planning and decision-making, identifying variables such as the current state of teaching and learning processes, project management, team development, allocation of resources and infrastructure and the choice of evaluation and assessment methods. From the relevant literature, the primary aspects that impact on active learning were identified and incorporated into the structure of the model. Next, a survey was performed with 295 STEM professors and experts validating the scope of the model proposed.

The findings demonstrated the contribution of the CMMAL mainly to (1) assess the maturity levels of active methodologies in higher education and (2) stimulate the institutionalization of active learning practices in HEIs to minimize some problems related to the dissemination of new teaching practices.

The primary practical and academic contribution of our study is the proposition of an artifact with a scope compatible with the need of the HEIs for the implementation of active learning methodologies. This paper presents a different perspective of current literature in active learning in STEM education, introducing a model that contributes to open the dialogue with HEIs interested in better understand and improve the performance in student-centered pedagogy.

The model also informs and leads to specific recommendations for HEIs seeking to enhance the performance of and alter the culture around active learning methodologies.

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies. Universities have gradually become the core of the knowledge production system and, therefore, their role regarding innovation has become more important and diversified. This study is aimed at identifying the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

This study is aimed at identifying, based on a systematic literature review, the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

The analysis of the 72 selected articles enabled identifying 15 mechanisms of U–I collaboration, proposing a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process.

In this paper, the authors screened nearly 1,500 papers and analyzed in detail 86 papers addressing U–I collaboration, mechanisms of U–I collaboration and operationalization steps of the U–I collaboration process. This paper provides a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process. This research contributes to both theory and practice by highlighting managerial aspects and stimulating academic research on such timely topic.

Presents a new procedure for quality control and quality assurance in scenarios where several variables and attributes have to be monitored. The proposed procedure, named integrated process control, begins with the definition of control stations on the production line, where a single chart that aggregates several variables and attributes is used. This procedure is complemented by using Pareto charts, which determine the quality characteristics contributing the most to the number of defectives. The integrated process control also uses traditional control charts; however, these are used selectively following the indication of the Pareto charts. The joint use of these tools facilitates the identification and solution of quality problems, allowing the improvement actions to be taken at the right time and place. The key advantages of the proposed procedure are: the ability to handle variables and attributes on a single integrated chart, the statistical approach, providing a solid basis for decision making, and the strong managerial appeal provided by the integrated charts.

The purpose of this paper is to present the results of an analytical and experimental research for the development of an innovative product designated RFID environment (RFID‐Env). This software is designed for the use of professionals in computer systems and plant engineering who are engaged in research and development (R&D) of ultra high frequency (UHF) passive radio frequency identification (RFID) systems as applied to the management and operation of logistic supply chains.

The RFID‐Env makes it possible to simulate on computer screens a complete RFID‐Env by processing user data on the technical and physical characteristics of real or virtual RFID‐Envs. Information outputted can include descriptions of the performance to be expected from a given configuration and detailed reports as to whether that particular configuration will succeed in reading all the RFID tags flowing through a defined system.

The paper shows the models and methods on how these simulations can be performed, and this is the major scientific contribution of this work, i.e. what are the logical and physical models that enable the development of software simulators for RFID‐Envs.

This work will be continued to introduce more consideration of the physical environment, such as the interferences produced by the tagged products themselves by scattering the radio frequency (RF) signals, and the models, positioning and focusing of the antennas. New RF prediction models shall be created along the continuation of this paper, with the purpose to rise the amount of environments that can be simulated.

The product is intended for use by developers in computer sciences, and by engineers doing R&D for the solution of RFID problems, and makes it possible to simulate a complete range of virtual RFID‐Envs so that R&D can proceed in a non‐factory atmosphere.

There are only a few related papers that consider in an isolated form some of the problems approached here, but it was not found models that proposed as an integrated form all the processing to an RFID‐Env simulation like here presented.

The purpose of this paper is to propose an assessment model for process management maturity focussed on business process management (BPM) governance practices.

This investigation uses case studies.

The BPM governance elements identified and analysis of the BPM maturity models previously used gave rise to the assessment model for organizational maturity in BPM developed for this study.

The model allowed the authors to diagnose organizations’ current situation in terms of process management and provided a preliminary assessment of the next steps in the evolution of maturity for each of the factors analyzed.