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This study examines the use of a dynamic value-based approach to analyze the business model structuration of smart service providers in Brazil, mapping their value creation, configuration and appropriation strategies, and determining how well-defined their current business models are.

This is a qualitative study based on semi-structured interviews with entrepreneurs (or CEOs and directors of technology) of seven business ventures in three different phases of business model structuration: (1) academic: companies or innovation and research centers linked to universities; (2) startups: technology-based companies originating from the technological needs of clients, be they new branches of the traditional business of incumbents or new entrants and (3) autonomous service providers whose offerings are related to master’s or doctoral projects.

We propose a typology of business model structuration with four stages. At first (individual or initial business model), albeit with high skilling of owners, only manual or adaptation services are offered. In the second stage (platform business model), although services offered are oriented toward the entire process automatization of the client (Factory integrated), technologies are restricted to the client company (or even one department) and these clients' needs are mainly data processing and connectivity. In the third stage (scaling digital business model), although the services offered are oriented toward greater digitalization through an entire array of field devices connected to the internet (IoT) and organized in a more formalized structure, the business model is still being constructed, companies in this stage are mainly startups. In the fourth stage (innovation ecosystem business model), the entire manufacturing process is digitized, with integration and network connectivity, both between service providers and the extended supply chain of their clients, and new technologies are customized and developed through the interaction of a whole innovation ecosystem.

Mapping value-based strategies aids in understanding business model structuration in Industry 4.0. Future research should focus on parameterizing the dimensions founded of each value strategy.

This study advances the comprehension of the business model in |Industry 4.0 by providing a value-based strategy perspective of business model structuration. Practically, by focusing on smart service providers, it contributes to a greater understanding of smart service providers in Brazil and their strategic challenges.

The purpose of this paper is to identify complementarities between the approaches of population ecology and evolutionary economics in order to contribute to a synthesis of organizational evolutionary dynamics and its implications for a strategic management research model. Using the metatriangulation technique to construct theories, we attempt to entwine these two perspectives. The proposed model is structured in two dimensions: the environmental selective system and the corporate adaptation process. The environmental selective system gathers together the complementary factors presented by evolutionary economics and ecology: technological innovation, demographic processes, environmental dynamism, population density and other institutional processes, and interpopulation dynamics. As ecology does not encompass the corporate adaptation process (generation, selection, and propagation of variations), the proposed model adopts the theoretical grounds underpinning evolutionary economics. The model offers three main contributions for future research into strategic management. First, it allows the development of descriptive and normative studies of the relationship among the environmental selection factors and the different types of enterprise strategies. Second, the proposed conceptual framework may be very beneficial for studies of interorganizational learning. Third, the model has the advantage of responding to the criticism of strategy theories in terms of their inability to generalize.

The purpose of this paper is to examine the development cycle of Brazilian banking sector during the lengthy period between 1889 and 2009, also identifying an equilibrium number of financial institutions based on the carrying capacity of the environment.

The number of institutions in equilibrium is calculated based on the population density dependence model adopted under the organizational ecology theory. Quantitative data of founding and failure and qualitative data (interviews with the directors, officers and chief executive officers (CEOs) of selected companies) were used.

In all three bank segments (commercial, investment and multiple), the total number of banks in operation on December 31, 2009 was below the carrying capacity. However, in the multiple bank segment, the gap between the actual and potential figures is slightly smaller. As indicated by the respondents, there is almost no room for newcomers in the major bank segments. In counterpart, there is still space for new arrivals in the mid-market bank sector.

The findings presented here may change, as carrying capacity is determined by political, legal and economic factors, including the availability of resources in niches and constraints imposed through laws, rules and other regulatory aspects. However, raising the life cycle of the entire population offers opportunities for future research on individual organizational trajectories, using new theoretical and methodological perspectives, such as dynamic capabilities and process theory.

The main contribution of this paper lies in indicating the growth potential for banking institution populations in Brazil, and may be used not only by potential newcomers eager to enter the sector, but also as a tool for assessing anti-trust policies.

The development cycle of Brazilian financial institution populations is unknown, and carrying capacity is a construct less explored by academic literature, particularly in Brazil. This is a unique study since a demography of an entire banking population in a developing country does not exist, besides there is not such a financial institution like the multiple bank in Brazil.