The influence of the specifics of small businesses on innovation:: A multiple case study of the Brazilian metal-mechanical industry

Purpose – Based on a multi-case analysis of small businesses in the metal-mechanical industry in the region of Sorocaba, State of São Paulo, Brazil, the purpose of this paper is to analyze how small businesses (in terms of the owner, business, and influences exerted by the environment) influence innovation. Design/methodology/approach – Six case studies are used to analyze the Brazilian metal-mechanical industry. The data are collected through semi-structured interviews and direct observations. In addition, innovations over the previous five years are evaluated in order to establish a comparative pattern between companies. Findings – This study examines how facilitating factors are related to the owners of small businesses. These factors include owners’ personal ambitions, the centralization of decisions, and their confidence in their ability to make effective decisions. Factors related to the organization that favor innovation include a simple and streamlined structure and fewer levels of bureaucracy, whereas low capital intensity limit innovation. While some factors related to the environment favor innovation, others have a limiting effect (e.g. short-term horizons and a lack of formal strategic planning). Originality/value – The main contribution of this research is to show that innovation is not synonymous with financial investment. Strategic reorganization and the rationalization of productive resources through competitive priorities may lead to innovation in different spheres, helping to increase the competitiveness and strength of the national economy

A multiple case study of the Brazilian metal-mechanical industry

Purpose – Based on a multi-case analysis of small businesses in the metal-mechanical industry in the region of Sorocaba, State of São Paulo, Brazil, the purpose of this paper is to analyze how small businesses (in terms of the owner, business, and influences exerted by the environment) influence innovation. Design/methodology/approach – Six case studies are used to analyze the Brazilian metal-mechanical industry. The data are collected through semi-structured interviews and direct observations. In addition, innovations over the previous five years are evaluated in order to establish a comparative pattern between companies. Findings – This study examines how facilitating factors are related to the owners of small businesses. These factors include owners’ personal ambitions, the centralization of decisions, and their confidence in their ability to make effective decisions. Factors related to the organization that favor innovation include a simple and streamlined structure and fewer levels of bureaucracy, whereas low capital intensity limit innovation. While some factors related to the environment favor innovation, others have a limiting effect (e.g. short-term horizons and a lack of formal strategic planning). Originality/value – The main contribution of this research is to show that innovation is not synonymous with financial investment. Strategic reorganization and the rationalization of productive resources through competitive priorities may lead to innovation in different spheres, helping to increase the competitiveness and strength of the national economy

A INFLUÊNCIA DA CULTURA ORGANIZACIONAL NOS PROCESSOS DE TRABALHO DOS COLETORES DE LIXO DOMICILIAR: UM ESTUDO DE CASO

O trabalho exercido pelo coletor de lixo pode ser considerado penoso, pois solicita deste indivíduo grande esforço para concluir sua tarefa. Esse trabalho envolve manusear resíduos domiciliares, além de se locomover em um ambiente repleto de variabilidades relacionadas ao clima, interação com a população, trânsito, estado de conservação das vias, entre outras. O presente artigo tem como objetivo analisar a atividade do coletor de lixo, ressaltando características referentes aos níveis e aos elementos da cultura organizacional que permeiam essa atividade. A pesquisa, de natureza qualitativa e exploratória, foi realizada a partir de um estudo de caso em uma empresa privada instalada em uma cidade de médio porte no interior de São Paulo. A coleta de dados ocorreu por meio de entrevistas, análise documental e observações assistêmicas Entre os principais resultados, tem-se que os trabalhadores atribuem sentido ao trabalho e valorizam o companheirismo para tornar o trabalho menos penoso. Os novos trabalhadores recebem treinamento antes de iniciar suas atividades, mas são os próprios coletores que transmitem como o trabalho real deve ser realizado. Os vocabulários próprios e os discursos transmitem o que é considerado correto e tornam visíveis a intensidade emocional presente na rotina desses trabalhadores.Palavras-chave: Coletores de lixo. Cultura Organizacional. Ergonomia da Atividade.ABSTRACTThe work carried out by the garbage collector can be considered arduous, since it demands of this individual a great effort to complete his/her task. This work involves handling of household residues, besides moving in an environment full of variabilities related to the climate, interaction with the population, and state of conservation of streets, among others. This article aims to analyze the activity of the garbage collector, highlighting characteristics referring to the levels and elements of the organizational culture that permeate this activity. The research, of a qualitative and exploratory nature, was carried out based on a case study in a private company installed in a medium-size city in the interior of São Paulo, Brazil. The data collection took place through interviews, documentary analysis, and non-systemic observations. Among the main results, it has been that the workers give meaning to the work and value the companionship to make the work less arduous. New workers receive training before starting their activities, but it is the collectors themselves who convey how the real work should be done. Own vocabularies and discourses convey what is considered correct and make visible the emotional intensity present in the routine of these workers. Keywords: Garbage collector. Organizational Culture. Activity Ergonomics

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost