Understanding the stages of the life cycle of companies is fundamental to their management and performance, since the characteristics of companies vary according to the moment they are going through. With this focus, the purpose of this article is to identify and analyze the models of the different company cycles found in the literature presenting comparisons with a life cycle model proposed by an author present in the industrial market. The company life cycle models were identified through a systematic literature review that aimed to rescue the perception of several authors. The authors have a similar approach on the subject of the study, and their proposals come from the 1980s and 1990s, characterizing a time gap on the subject. The article contributes to the research on the company life cycle, as it presents models identified in the literature, as well as a perspective of the stages of companies emphasizing a life cycle model used by industries in the market. The article identifies similarities and differences between company life cycle models used in the market and used others in academic scientific circles. The results of the article provide the characteristics of the company life cycle stages to managers of industrial organizations, helping to understand the organization’s moment in the market, as well as to understand the next stages to be developed.
PurposeThe purpose of this paper is to develop a theoretical model composed of performance indicators divided into stages that represent a chronological order of the market development process.Design/methodology/approachThe theoretical model presented by this paper was developed based on the information collected through three systematic reviews. The first review identified the steps that segment the market development process. The second and third systematic review sought to identify a set of indicators that are most used in companies' market development.FindingsThe paper develops a theoretical model that identifies the market development indicators that are most present in the current literature, dividing them into stages that represent the chronological order of the market development process.Originality/valueA research opportunity was identified based on the investigation of the existing literature. The study collaborates with existing research and provides a model that guides companies in market development decisions and actions.
This research presents a systematized literature review to identify the main critical success factors (CSFs) that influence startups’ competitiveness. Considering that aspects related to competitiveness should be the target of organizations, especially early-stage companies, this paper identifies a broad of factors regarding startups’ competitiveness. A total of 36 articles were selected in Scopus and Web of Science databases and an in-depth bibliometric analysis of the corpus was performed using the VOSviewer software. 25 CSFs that influence startups’ competitiveness were identified and categorized into three fundamental points of view (FPVs), namely: organizational, human, and environmental. Organizational FPV covers factors that define the internal characteristics of startups. Human FPV, in turn, consists of characteristics of human capital, while the Environmental FPV refers to external factors and the startup context. This work could help practitioners and policymakers by enlightening them about startups’ competitiveness and the elements involved therein, along with providing them with a robust conceptual framework.
Innovation environments are places where open innovation and technology are boosted. The purpose of this paper is to present the evolution of innovation and technology environments through the most covered topics in the scientific literature. In this sense, technology transfer has been the subject of research since 1975; however, in the period from 2006–2021, the focus shifted to innovation. It was possible to observe an exponential growth of the term, “innovation”, but it is no longer the central theme and is linked to different terms related to different ways of innovating, characterizing open innovation variables. In this article, 4650 academic studies involving innovation environments were reviewed. The analysis identified the nomenclatures that characterized innovation environments and the particularities of these environments. The contributions, such as which countries developed more research in this area, and the analysis of which environments were more common in these countries were also presented. Additionally, some methodological and theoretical gaps in the current research were identified, providing pathways to support future research and practices seeking a better understanding and development of innovation environments. This article can also serve as a basis for a consultation for members of the quadruple helix, who wish to install or create environments for innovation and attract companies or investments to develop any open innovation activity.
PurposeThe purpose of this paper is to propose a competitiveness measurement system for start-ups considering multiple critical success factors.Design/methodology/approachThe methodological approach uses concepts from key performance indicators (KPIs) and multi-criteria decision analysis (MCDA) based on the fuzzy AHP (FAHP) methodology to weight the criteria related to fundamental points of view (FPVs) and critical success factors (CSFs).FindingsData collection was performed with 21 specialists and 28 start-ups, which returned the weights and performance of CSFs and FPVs related to the start-ups’ competitiveness. The results show only one start-up had a highly competitive global performance. In addition, all start-ups showed low competitiveness related to industry 4.0 technologies.Originality/valueThe article collaborates with existing research as a starting point for discussions on the subject, considering that previous research did not address the measurement of the start-ups’ competitiveness level through multiple factors, as developed in this article. In addition, we provide decision-makers and other stakeholders in the start-up ecosystem with a robust measurement system to assess business competitiveness and diagnose the company’s situation.
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