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Manufacturer specifications for the resolution of an additive manufacturing (AM) machine can be ten times smaller (more optimistic) than the actual size of manufacturable features. Existing methods used to establish a manufacturable design rule-set are conservative piecewise-constant approximations. This paper aims to evaluate the effectiveness of a first-order model for producing improved design rule-sets for feature manufacturability, accounting for process variation.

A framework is presented which uses an interpolation method and a statistical model to estimate the minimum size for a wide range of features from a set of iterative experiments.

For an SLS process, using this approach improves the accuracy and reliability of minimum feature size estimates for a wider variety of features than assessed by most existing test artifacts.

More research is needed to provide better interpolation models, broaden applicability and account for additional geometric and process parameters which significantly impact the results. This research focuses on manufacturability and does not address dimensional accuracy of the features produced.

An application to the design of thin channels in a prosthetic hand shows the utility of the results in a real-world scenario.

This study is among the first to investigate statistical variation of “pass/fail” features in AM process characterization, propose a means of estimating minimum feature sizes for shapes not directly tested and incorporate a more efficient iterative experimental protocol.

This purpose of this paper is to provide an overview of the steps and processes behind successfully adapting novel materials, namely virgin glass and recycled glass, to three‐dimensional printing (3DP).

The transition from 3DP ceramic systems to glass systems will be examined in detail, including the necessary modifications to binder systems and printing parameters. The authors present preliminary engineering data on shrinkage, porosity, and density as functions of peak firing temperature, and provide a brief introduction to the complexities faced in realizing an adequate and repeatable firing method for 3D printed glass.

Shrinkage behavior for the 3D printed recycled glass showed significant anisotropy, especially beyond peak firing temperatures of 730°C. The average shrinkage ratios for the slow‐ and fast‐axes to the Z‐axis were 1:1.37 and 1:2.74, respectively. These extreme differences can be attributed to the layer‐by‐layer production method and binder burn‐off. At 760°C, the apparent porosity reached a minimum of 0.36 percent, indicative of asymptotic behavior that approaches a fully dense 3DP glass specimen. At low firing temperatures, the bulk density was similar to water, but increased to a maximum of 2.41 g/cm³. This indicates that 3DP recycled glass can behave similarly to common glass with accepted published bulk densities ranging from 2.4‐2.8 g/cm³.

Heating schedule analysis and optimization may reduce geometric variations, therefore, the firing method should be investigated in greater depth.

This paper provides a guide to successfully adopting glass to commercially available 3DP hardware. This research has also enabled rapid prototyping of recycled glass, a monumental step towards a sustainable future for 3DP.

Solid freeform fabrication (SFF) has the potential to revolutionize manufacturing, even to allow individuals to invent, customize, and manufacture goods cost‐effectively in their own homes. Commercial freeform fabrication systems – while successful in industrial settings – are costly, proprietary, and work with few, expensive, and proprietary materials, limiting the growth and advancement of the technology. The open‐source Fab@Home Project has been created to promote SFF technology by placing it in the hands of hobbyists, inventors, and artists in a form which is simple, cheap, and without restrictions on experimentation. This paper aims to examine this.

A simple, low‐cost, user modifiable freeform fabrication system has been designed, called the Fab@Home Model 1, and the designs, documentation, software, and source code have been published on a user‐editable “wiki” web site under the open‐source BSD License. Six systems have been built, and three of them given away to interested users in return for feedback on the system and contributions to the web site.

The Fab@Home Model 1 can build objects comprising multiple materials, with sub‐millimeter‐scale features, and overall dimensions larger than 20 cm. In its first six months of operation, the project has received more than 13 million web site hits, and media coverage by several international news and technology magazines, web sites, and programs. Model 1s are being used in a university engineering course, a Model 1 will be included in an exhibit on the history of plastics at the Science Museum London, UK, and kits can now be purchased commercially.

The ease of construction and operation of the Model 1 has not been well tested. The materials cost for construction (US$2,300) has prevented some interested people from building systems of their own.

The energetic public response to the Fab@Home project confirms the broad appeal of personal freeform fabrication technology. The diversity of interests and desired applications expressed by the public suggests that the open‐source approach to accelerating the expansion of SFF technology embodied in the Fab@Home project may well be successful.

Fab@Home is unique in its goal of popularizing and advancing SFF technology for its own sake. The RepRap project in the UK predates Fab@Home, but aims to build machines which can make most of their own parts. The two projects are complementary in many respects, and fruitful exchanges of ideas and designs between them are expected.

The purpose of this paper is to explore the improvements in speed and precision achievable using straightforward closed-loop control for the gantry motion in additive manufacturing machines. The authors designed and built an economically viable demonstration system to quantify the performance improvement.

The authors develop and evaluate a low-cost closed-loop controller for the X and Y axes of an entry-level three-dimensional (3D) printer. The system developed captures and compensates for the dynamics of the motor and the belt-driven stage and detects mechanical errors, such as skipped motor steps.

The system produces path-following precision improvements of 40 and 75 per cent for two different sample trajectories. Correcting for skipped steps increases reliability and allows for more aggressive tuning of motion parameters; time savings of up to 25 per cent are seen by doubling acceleration rate.

The system presented provides an appropriate platform for further investigation into more complex, application-specific controllers and inclusion of more details of the printer dynamics that could produce still greater improvements in speed and accuracy.

The performance, low cost (40 USD/axis) and applicability to the majority of sub-2000USD 3D printer designs make this work of practical significance.

The CNC machining industry has for many years used similar approaches, but application to 3D printers has not been explored in the literature. This paper demonstrates the value of even a simple controller applicable to almost any 3D printer, while maintaining cost-effectiveness of the solution in a competitive market.

This paper aims to explore and demonstrate the ability to integrate entry-level additive manufacturing (AM) techniques with responsive polymers capable of mechanical to chemical energy transduction. This integration signifies the merger of AM and smart materials.

Custom filaments were synthesized comprising covalently incorporated spiropyran moieties. The mechanical activation and chemical response of the spiropyran-containing filaments were demonstrated in materials that were produced via fused filament fabrication techniques.

Custom filaments were successfully produced and printed with complete preservation of the mechanochemical reactivity of the spiropyran units. These smart materials were demonstrated in two key constructs: a center-cracked test specimen and a mechanochromic force sensor. The mechanochromic nature of the filament enables (semi)quantitative assessment of peak loads based on color change, without requiring any external analytical techniques.

This paper describes the first examples of three-dimensional-printed mechanophores, which may be of significant interest to the AM community. The ability to control the chemical response to external mechanical forces, in combination with AM to process the bulk materials, potentiates customizability at the molecular and macroscopic length scales.

Currently, social network (SN) analysis is focused on the discovery of activity and social relationship patterns. Usually, these relationships are not easily and completely observed. Therefore, it is relevant to discover substructures and potential behavior patterns in SN. Recently, formal concept analysis (FCA) has been applied for this purpose. FCA is a concept analysis theory that identifies concept structures within a data set. The representation of SN patterns through implication rules based on FCA enables the identification of relevant substructures that cannot be easily identified. The authors’ approach considers a minimum and irreducible set of implication rules (stem base) to represent the complete set of data (activity in the network). Applying this to an SN is of interest because it can represent all the relationships using a reduced form. So, the purpose of this paper is to represent social networks through the steam base.

The authors’ approach permits to analyze two-mode networks by transforming access activities of SN into a formal context. From this context, it can be extracted to a minimal set of implications applying the NextClosure algorithm, which is based on the closed sets theory that provides to extract a complete, minimal and non-redundant set of implications. Based on the minimal set, the authors analyzed the relationships between premises and their respective conclusions to find basic user behaviors.

The experiments pointed out that implications, represented as a complex network, enable the identification and visualization of minimal substructures, which could not be found in two-mode network representation. The results also indicated that relations among premises and conclusions represent navigation behavior of SN functionalities. This approach enables to analyze the following behaviors: conservative, transitive, main functionalities and access time. The results also demonstrated that the relations between premises and conclusions represented the navigation behavior based on the functionalities of SN. The authors applied their approach for an SN for a relationship to explore the minimal access patterns of navigation.

The authors present an FCA-based approach to obtain the minimal set of implications capable of representing the minimum structure of the users’ behavior in an SN. The paper defines and analyzes three types of rules that form the sets of implications. These types of rules define substructures of the network, the capacity of generation users’ behaviors, transitive behavior and conservative capacity when the temporal aspect is considered.

In recent years, the increasing complexity of the hyper-connected world demands new approaches for social network analysis. The main challenges are to find new computational methods that allow the representation, characterization and analysis of these social networks. Nowadays, formal concept analysis (FCA) is considered an alternative to identifying conceptual structures in a social network. In this FCA-based work, this paper aims to show the potential of building computational models based on implications to represent and analyze two-mode networks.

This study proposes an approach to find three important substructures in social networks such as conservative access patterns, minimum behavior patterns and canonical access patterns. The present study approach considered as a case study a database containing the access logs of a cable internet service provider.

The result allows us to uncover access patterns, conservative access patterns and minimum access behavior patterns. Furthermore, through the use of implications sets, the relationships between event-type elements (websites) in two-mode networks are analyzed. This paper discusses, in a generic form, the adopted procedures that can be extended to other social networks.

A new approach is proposed for the identification of conservative behavior in two-mode networks. The proper implications needed to handle minimum behavior pattern in two-mode networks is also proposed to be analyzed. The one-item conclusion implications are easy to understand and can be more relevant to anyone looking for one particular website access pattern. Finally, a method for a canonical behavior representation in two-mode networks using a canonical set of implications (steam base), which present a minimal set of implications without loss of information, is proposed.

The purpose of this paper is to analyze the differential impact each of the dominant theoretical explanations has on innovation persistence. The authors hereby differentiate the degree of novelty, distinguishing between innovation based on invention (new products for the international market) and those based on imitation or adoption processes (new products for the company or new products in the national market).

Placing this study in the context of a developing country, the authors apply an ordered probit model inflated in zeros (ZIOP). This methodology enables one to not only provide results not biased by the excess of zeros but also take into account the unobserved heterogeneity with respect to the sources of zeros (that is those firms which do not innovate). The empirical analysis is based on three Colombian innovation surveys carried out between 2003 and 2008 by the Colombian National Statistics Department.

The results provide empirical evidence that two elements are essential for both types of innovation persistence: accessing external financial resources and learning through interaction. Furthermore, the sunk R&D cost approach and technological learning explain persistence in innovation of new products for the international market.

The limitations of this study are directly related to the methodological choice. The authors were unable to take into consideration two sources of heterogeneity: the one related to initial conditions and the one related to the source of the many non-innovators. They opted to focus on the latter due the research question and setting of this study. Additionally, macroeconomic instability did not allow to consider a long panel; instead the authors had to rely on a short panel.

The results provide important insights to managers. Continuous investments in innovation activities are important bot to become an innovative firm as well as to improve the odds of persistently innovating. Particularly, R&D investments are a pre-requisite for new-to-the-world innovations. Finally, it is not one specific set of capabilities which is a prerequisite for the generation of innovation; rather it is a strategic combination of various skills that increase the probability to (persistently) innovate.

With innovation persistence being especially relevant for long-run dynamics behind economic growth, the results of this study provide insights into potential public policies. Governments are in a position to at least lower barriers, which might enable more firms to persistently innovate. Continuous access – less than the actual amount – to financial resources aimed at innovation activities and learning through interaction with external agents is fundamental for both kinds of innovation persistence. Both are market characteristics where governments can – at least indirectly – intervene.

Despite the existence of various theoretical approaches, the bulk of empirical research focuses on the verification of true state innovation persistence. Thus, while innovation persistency has been widely confirmed to exist to a certain degree, knowledge regarding which theoretical approach is likely to drive a firm to persistently innovation is still scarce. Additionally, this study is placed in the context of a developing country, which by most empirical research has been overlooked but is characterized by one element which is decisive for the empirical methodology: many firms do not innovate, let alone persistently innovate.

El objetivo de este artículo es analizar el impacto diferencial que cada una de las explicaciones teóricas dominantes tiene sobre la persistencia de la innovación. Para esto, diferenciamos el grado de novedad, distinguiendo entre la innovación basada en la invención (nuevos productos para el mercado internacional) y aquellas basadas en procesos de imitación o adopción (nuevos productos para el mercado nacional).

Este estudio se lleva a cabo en el contexto de un país en desarrollo, en el cual la mayoría de empresas no innovan. Consecuentemente, aplicamos un modelo probit ordenado inflado en ceros (ZIOP). Esta metodología no sólo proporciona resultados no sesgados por el exceso de ceros, sino que también tiene en cuenta la heterogeneidad no observada con respecto a las fuentes de ceros (es decir, aquellas empresas que no innovan). El análisis empírico se basa en tres Encuestas de Innovación en Colombia realizadas entre 2003 y 2008 por el Departamento Nacional de Estadísticas de Colombia.

Nuestros resultados proporcionan evidencia empírica de que tanto el enfoque de éxito genera éxito con el de capacidades son importantes. Sin embargo, se encontró que todas las variables que se desprenden de estos enfoques teóricos no están relacionadas en forma significativa con los dos tipos de persistencia estudiados. Además, el enfoque de costos hundidos de I + D se relaciona en forma robusta con la persistencia en la innovación de nuevos productos para el mercado internacional.

Las limitaciones de este estudio están directamente relacionadas con la elección metodológica. No pudimos tomar en consideración simultáneamente dos fuentes de heterogeneidad: la relacionada con las condiciones iniciales y la relacionada con el exceso de empresas no innovadoras. Optamos por centrarnos en lo último debido a la pregunta de investigación y el contexto país en el que se desarrolla esta investigación. Adicionalmente, la inestabilidad macroeconómica no permitió considerar un panel largo; por el contrario, se usó un panel corto que cubre un periodo de tiempo de estabilidad económica.

Nuestros resultados proporcionan información importante para los gerentes. Las inversiones continuas en actividades de innovación son importantes tanto para aumentar la probabilidad de convertirse en una empresa innovadora como para mejorar las posibilidades de innovación persistente. En particular, las inversiones en I + D son un requisito para lograr innovaciones nuevas en el mundo. Finalmente, no se identificaron un conjunto único de capacidades necesarias para la generación de cualquier tipo de innovación; más bien se debe adoptar un enfoque estratégico diferenciado.

Dado que la persistencia de la innovación es especialmente relevante para las dinámicas de crecimiento económico de largo plazo, los resultados de nuestro estudio proporcionan información útil para el diseño de políticas públicas. Los gobiernos están en posición de al menos reducir las barreras que impiden que las empresas innoven persistentemente. El acceso continuo a los recursos financieros destinados a actividades de innovación y el aprendizaje a través de la interacción con agentes externos son fundamentales para ambos tipos de persistencia de innovación. Ambas son condiciones del mercado que pueden ser intervenidas, al menos indirectamente, por el gobierno.

A pesar de la existencia de tres enfoques principales sobre la persistencia en la innovación, la mayor parte de las investigaciones se han centrado en la verificación de la existencia de verdadera persistencia en innovación. Por lo tanto, aunque se ha confirmado ampliamente que la persistencia de la innovación existe hasta cierto punto, el conocimiento sobre qué enfoque teórico es probable que impulse a una empresa a innovar de manera persistente es aún escaso. Además, este estudio se ubica en el contexto de un país en desarrollo, contexto que ha sido pasado por alto en la mayoría de las investigaciones empíricas, aspecto que decisivo para la selección de la metodología empírica: muchas empresas no innovan, y mucho menos innovan persistentemente.

O objetivo deste artigo é analisar o impacto diferencial que têm sobre a persistência da inovação cada uma das explicações teóricas dominantes. Para isso diferenciamos o grau de novidade, distinguindo entre inovação baseada em invenção (novos produtos para o mercado internacional) e aqueles baseados em processos de imitação ou adoção (novos produtos para o mercado nacional).

Esta pesquisa ocorre no contexto de um país em desenvolvimento, no qual a maioria das empresas não inovam. Assim sendo, temos aplicado o modelo Probit ordenado inflado-zero (ZIOP). Essa metodologia permite não só que os resultados da pesquisa não sejam influenciados por excesso de zeros, mas também a inclusão da heterogeneidade não observada em relação às fontes de zeros (isto é, aquelas empresas que não inovam). A análise empírica baseia-se em três pesquisas sobre Inovação na Colômbia realizadas entre 2003 e 2008 pelo Departamento Nacional de Estatísticas da Colômbia.

Nossos resultados fornecem evidências empíricas que indicam que tanto a abordagem de sucesso gera sucesso quanto a abordagem de capacidade é importante. No entanto, não se encontrou que todas as variáveis que emergiram dessas abordagens teóricas foram significativamente relacionadas aos dois tipos de persistência pesquisados. Além disso, a abordagem dos custos irrecuperáveis de P and D está relacionada de forma robusta à persistência na inovação de novos produtos para o mercado internacional.

As limitações desta pesquisa estão diretamente relacionadas à escolha metodológica. Não temos podido considerar duas fontes de heterogeneidade: a relacionada às condições iniciais e a relacionada ao excesso de empresas não inovadoras. Optou-se por centrar-se nesse último devido à questão de pesquisa e ao contexto do país em que foi realizada. Além disso, a instabilidade macroeconômica não permitiu um painel longo; pelo contrário, foi utilizado um painel curto que cobre um período de estabilidade econômica.

Nossos resultados provêem informação importante para os gerentes. Investimentos contínuos em atividades de inovação são importantes tanto para aumentar a probabilidade de se tornar numa empresa inovadora quanto para melhorar as possibilidades de inovação persistente. Em particular, os investimentos em P and D são um requisito para alcançar inovações no mundo. Finalmente, um conjunto único de capacidades necessárias para a geração de qualquer tipo de inovação não foi identificado; ao contrário, uma abordagem estratégica diferenciada deve ser adotada.

Dado que a persistência da inovação é especialmente relevante para as dinâmicas de longo prazo por trás do crescimento econômico, os resultados obtidos provêem informação útil para o desenho de políticas públicas. Os governos estão em posição de, pelo menos, reduzir as barreiras que impedem as empresas de inovar persistentemente. O acesso contínuo a recursos financeiros para atividades de inovação e a aprendizagem por meio da interação com agentes externos são fundamentais para os dois tipos de persistência de inovação. Ambas são condições do mercado que podem ser intervencionadas, pelo menos indiretamente, pelo governo.

Embora da existência de três abordagens principais sobre persistência na inovação, a maior parte das pesquisas concentraram-se em verificar a existência de verdadeira persistência na inovação. Portanto, ainda quando tem sido amplamente confirmado que a persistência da inovação existe até certo ponto, o conhecimento sobre qual abordagem teórico provavelmente alavanca uma empresa a inovar persistentemente ainda é escasso. Além disso, esta pesquisa está localizada num contexto de um país em desenvolvimento, que tem sido negligenciado na maioria das pesquisas empíricas, aspecto decisivo para a seleção da metodologia empírica: muitas empresas não inovam e muito menos inovam persistentemente.

The scientific community shares a heritage of knowledge generated by several different fields of research. Identifying how scientific interest evolves is relevant for recording and understanding research trends and society’s demands.

This article presents SciBR-M, a novel method to identify scientific interest evolution from bibliographic material based on Formal Concept Analysis. The SciBR-M aims to describe the thematic evolution surrounding a field of research. The method begins by hierarchically organising sub-domains within the field of study to identify the themes that are more relevant. After this organisation, we apply a temporal analysis that extracts implication rules with minimal premises and a single conclusion, which are helpful to observe the evolution of scientific interest in a specific field of study. To analyse the results, we consider support, confidence, and lift metrics to evaluate the extracted implications.

The authors applied the SciBR-M method for the Educational Data Mining (EDM) field considering 23 years since the first publications. In the digital libraries context, SciBR-M allows the integration of the academy, education, and cultural memory, in relation to a study domain.

Cultural changes lead to the production of new knowledge and to the evolution of scientific interest. This knowledge is part of the scientific heritage of society and should be transmitted in a structured and organised form to future generations of scientists and the general public.

The method, based on Formal Concept Analysis, identifies the evolution of scientific interest to a field of study. SciBR-M hierarchically organises bibliographic material to different time periods and explores this hierarchy from proper implication rules. These rules permit identifying recurring themes, i.e. themes subset that received more attention from the scientific community during a specific period. Analysing these rules, it is possible to identify the temporal evolution of scientific interest in the field of study. This evolution is observed by the emergence, increase or decrease of interest in topics in the domain. The SciBR-M method can be used to register and analyse the scientific, cultural heritage of a field of study. In addition, the authors can use the method to stimulate the process of creating knowledge and innovation and encouraging the emergence of new research.

There are currently two issues that generate growing interest among specialized scholars within the family business field: technological innovation (TI) and socioemotional wealth (SEW). While it is true that both topics are highly popular among researchers, the joint study of both perspectives is scarce. Thus, the purpose of this paper is to analyse the interrelationships between TI and SEW in the context of family firms.

This literature review systematically analyses the findings of 25 journal articles focusing on TI and SEW, published between 2012 and 2018.

The findings reveal an integrative approach, identifying different variables that relate TI and SEW. A conceptual framework is built in which these variables are incorporated into four categories (SEW, TI, moderating effects and performance). New lines of research emerge with the development of a conceptual model and the formulation of six propositions.

The conceptual framework can be useful as integrative summary of the factors that family business managers and directors should take into account to be successful in implementing innovative projects and strategies.

The study of TI from the SEW approach has emerged as a fruitful field of research in recent years, but the current knowledge of the role that SEW plays in family firms’ TI is still scarce. This paper contributes to the family business literature by offering a conceptual framework of the SEW–TI relationship and new research avenues that will provide a better comprehension for scholars and specialists for future investigations in the field.

Actualmente existen dos temas que generan un creciente interés entre los académicos especializados en el campo de estudio de la empresa familiar: la innovación tecnológica y la riqueza socioemocional. Si bien es cierto que ambos temas son muy populares entre los investigadores, el estudio conjunto de ambas perspectivas es escaso. Así, el objetivo de este trabajo es analizar las interrelaciones entre la innovación tecnológica (IT) y la riqueza socioemocional (SEW) en el contexto de las empresas familiares.

Esta revisión de la literatura analiza sistemáticamente los hallazgos de 25 artículos de revistas que se centran en la IT y el SEW, publicados entre 2012 y 2018.

Los hallazgos revelan un enfoque integrador, identificando diferentes variables que relacionan la IT y el SEW. Así pues, se construye un marco conceptual en el que estas variables son incorporadas en cuatro categorías (SEW, IT, efectos moderadores y rendimiento). Nuevas líneas de investigación surgen con el desarrollo de un modelo conceptual y la formulación de seis proposiciones.

El marco conceptual puede ser útil como resumen exhaustivo de los factores que los gerentes y directores de empresas familiares deben tener en cuenta para tener éxito en la implementación de proyectos y estrategias innovadoras.

El estudio de la IT desde el enfoque del SEW ha surgido como un campo de investigación fructífero en los últimos años, pero el conocimiento actual del rol que juega el SEW en la IT de las empresas familiares es todavía escaso. Este trabajo contribuye a la literatura de la empresa familiar ofreciendo un marco conceptual de la relación SEW-IT y nuevas vías de investigación que proporcionarán una mejor comprensión a académicos y especialistas para futuras investigaciones en este campo de estudio.

Innovación tecnológica, Riqueza socioemocional, Empresas familiares, Revisión de literature

Revisión general

Actualmente existem dois temas que geram um crescente interesse entre os acadêmicos especializados no campo de estudo da empresa familiar: inovação tecnológica e riqueza sócio-emocional. Conquanto é verdadeiro que ambos temas são muito populares entre os investigadores, o estudo conjunto de ambas perspectivas é escasso. Assim, o objectivo deste trabalho é analisar as inter-relações entre inovação tecnológica (IT) e riqueza socioemocional (SEW) no contexto das empresas familiares.

Esta revisão da literatura analisa sistematicamente os achados de 25 artigos de revistas que se centram na IT e o SEW, publicados entre 2012 e 2018.

Os achados revelam um enfoque integrador, identificando diferentes variáveis que relacionam a IT e o SEW. Constrói-se um marco conceptual no qual estas variáveis são incorporadas em quatro categorias (SEW, TI, efeitos moderadores e rendimento). Novas linhas de investigação surgem com o desenvolvimento de um modelo conceptual e a formulação de seis proposições.

O marco conceptual pode ser útil como resumo exhaustivo dos factores que os gerentes e diretores de empresas familiares devem ter em conta para ter sucesso na implementação de projectos e estratégias inovadoras.

O estudo da IT desde o enfoque do SEW tem surgido como um campo de investigação frutífero nos últimos anos, mas o conhecimento atual do papel que joga o SEW na IT das empresas familiares é ainda escasso. Este trabalho contribui à literatura da empresa familiar oferecendo um marco conceptual da relação SEW-TI e novas vias de investigação que proporcionarão um melhor entendimento a académicos e especialistas para futuras investigações neste campo de estudo.

Inovação tecnológica, Riqueza sócio-emocional, Empresas familiares, Revisão da literatura

Revisão geral