Beyond Technology: Management Challenges in the Big Data Era

Francisco, Eduardo de Rezende; Kugler, José Luiz; Kang, Soong Moon; Silva, Ricardo; Whigham, Peter A.

doi:10.1590/s0034-759020190603

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…In other words, the members of an organization define organizational behaviors through training and internal regulations to guide their professionals, resulting in legitimacy in line with the expectations of customers, suppliers, and other stakeholders (Liang et al, 2007;Dubey et al, 2015). In the Brazilian context, pressure to update human skills is internal (Félix et al, 2018) and, considering the view of the ecosystem (Francisco et al, 2020), the external environment changes through professional networks.…”

Section: Analysis and Discussion Of Hypothesesmentioning

confidence: 99%

Institutional pressures on setting up big data analytics capability

Klein,

Guilhem,

Sousa

et al. 2023

Rev. contab. finanç.

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This article aims to analyze the setting up of tangible resources and human big data skills, in the face of institutional pressures, in the big data analytics capability in Brazilian companies. Innovation influences the environment in which companies are inserted, increasing uncertainties, resulting in behavioral changes of social players. In response to individual efforts to rationally deal with uncertainties and constraints, organizational homogenization emerges. However, the institutional pressures that influence the setting up of specific resources are still not fully understood in the literature. The replication of the study by Dubey (2019b) is considered, seeing big data technology as an innovation that has caused changes in the social context, thus we seek to grasp the setting up of organizational big data resources in Brazilian companies to build BDA capability, due to institutional pressures. The study makes it possible to see how institutional pressures set up BDA capability, thus being able to provide means to investment allocation decisions in data technology or improve technical management skills in the business intelligence team. The study brought to light the environmental response, resulting from the technological innovation of big data, in Brazilian companies. This demonstrates that organizations adhering to big data technology select their resources in the face of various pressures, in order to build big data analytics capability. This research has a descriptive and quantitative nature, and its operationalization took place through a survey. The research population consists of Brazilian companies that use technology with a large volume of structured and/or unstructured data, to generate results and insights, which support decision making. The survey participants were employees of Brazilian companies that have positions related to building big data analytics capability, located through the LinkedIn platform. 136 valid responses were obtained. To test the hypotheses, the Structural Equation Modeling technique was used by means of the software Smartspls v. 3.2.3. This study contributes by bringing an understanding of organizational behavior in the face of institutional pressures (coercive, normative, and mimetic) when selecting tangible resources and human big data skills to build BDA capability, using Resource-Based Theory. It is observed that the setting up of BDA capability is influenced by tangible resources and human skills. Tangible resources are selected due to formal pressures, competitive conditions, and by imitating existing standards in the market. Meanwhile, the required human skills are impacted, through legitimation and professional networks of decision makers.

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Section: Analysis and Discussion Of Hypothesesmentioning

confidence: 99%

Institutional pressures on setting up big data analytics capability

Klein,

Guilhem,

Sousa

et al. 2023

Rev. contab. finanç.

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“…Examples: MapReduce, Hadoop, MapR, Cloudera, and Hortonworks. (Rijmenam, 2014;Francisco et al, 2019) 2) Integrate legacy with big data platforms (T)…”

Section: Characteristicsmentioning

confidence: 99%

Practices and barriers for big data projects

Terlizzi,

De Oliveira,

Francisco

2024

GeP

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The adoption of big data analytics is increasing in every major industry, demanding investments in new projects, technologies, architectures, and processes to allow the integration of big data platforms with legacy systems; however, many organizations have failed to incorporate it effectively into their decision-making processes and project benefits have not been adequately captured. This study aims to further investigate how a big data analytics project can be implemented in insurance companies. A case study was conducted on one of the largest insurance companies in Brazil with interviews and document analysis. The study identified five main practices that were adopted to successfully implement a big data analytics project (implement automatic autoscaling alerts, use specialized big data tools, integrate the platform with legacy systems, comply with privacy legislation, and ensure the documentation of technical architecture using business process modeling), as well as four barriers that prevent its proper adoption (complexity of access to multicloud data sources, high processing requirements of unstructured data analysis, failure to attend to business necessities at the right time, and project delays brought by bureaucratic interdepartmental processes); some of these have not previously been identified. Finally, an action plan to address these issues is presented.

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“…Em outros termos, os membros de uma organização definem condutas organizacionais por meio de treinamentos e regulamentos internos para orientar seus profissionais resultando na legitimação consonante com as expectativas de clientes, fornecedores e demais stakeholders (Liang et al, 2007;Dubey et al, 2015). No contexto brasileiro, a pressão para a atualização das habilidades humanas é interna (Félix et al, 2018) e, considerando o entendimento de ecossistema (Francisco et al, 2020), altera-se o ambiente externo por meio das redes profissionais.…”

Section: Análise E Discussão Das Hipótesesunclassified

Pressões institucionais na configuração da capacidade de análise de big data

Klein,

Guilhem,

Sousa

et al. 2023

Rev. contab. finanç.

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Resumo O objetivo deste artigo é analisar a configuração dos recursos tangíveis e das habilidades humanas de big data, diante das pressões institucionais, na capacidade de análise de big data em empresas brasileiras. A inovação influencia o ambiente em que as empresas estão inseridas, aumentando as incertezas, resultando em modificações comportamentais dos atores sociais. Em resposta aos esforços individuais para lidar com as incertezas e restrições de forma racional emerge a homogeneização das organizações. No entanto, as pressões institucionais que influenciam a configuração de recursos específicos ainda não são totalmente entendidas pela literatura. Considera-se a replicação do estudo de Dubey (2019b), entendendo a tecnologia big data como uma inovação que tem causado mudanças no contexto social, assim, busca-se compreender a configuração dos recursos organizacionais de big data nas empresas brasileiras para o desenvolvimento da capacidade de ABD, devido às pressões institucionais. O estudo possibilita compreender como as pressões institucionais configuram a capacidade de ABD, podendo assim subsidiar decisões de alocação de investimento em tecnologia de dados ou aprimoramento de habilidades técnicas de gerenciais da equipe de business intelligence. O estudo trouxe a conhecimento a resposta ambiental, resultante da inovação tecnológica de big data, das empresas brasileiras. Isso demonstra que as organizações que aderiram a tecnologia big data selecionam seus recursos diante de diferentes pressões, a fim de desenvolver a capacidade de análise de big data. Esta pesquisa possui caráter descritivo e quantitativo e sua operacionalização ocorreu por uma survey. A população pesquisada consiste em empresas brasileiras que usam tecnologia com grande volume de dados estruturados e/ou não estruturados, para a geração de resultados e insights, que auxiliam na tomada de decisão. Os participantes da pesquisa foram colaboradores de empresas brasileiras que apresentem funções relacionadas ao desenvolvimento da capacidade de análise de big data, localizados por meio da plataforma LinkedIn. Foram obtidas 136 respostas válidas. Para testar as hipóteses se usou a técnica de Modelagem de Equações Estruturais empregando o software Smartspls v. 3.2.3. Este estudo contribui trazendo a compreensão do comportamento organizacional diante das pressões institucionais (coercitiva, normativa e mimética) na seleção dos recursos tangíveis e habilidades humanas de big data para o desenvolvimento da capacidade de ABD, fundamentado na Teoria Baseada em Recursos. Observa-se que a configuração da capacidade de ABD é influenciada por recursos tangíveis e habilidades humanas. Os recursos tangíveis são selecionados devido a pressões formais, condições competitivas e por imitação de padrões existentes no mercado. Enquanto, as habilidades humanas requeridas, são impactadas, por meio da legitimação e redes profissionais dos tomadores de decisão.

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Beyond Technology: Management Challenges in the Big Data Era

Cited by 5 publications

References 14 publications

Institutional pressures on setting up big data analytics capability

Institutional pressures on setting up big data analytics capability

Practices and barriers for big data projects

Pressões institucionais na configuração da capacidade de análise de big data

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