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1 – 10 of 10Luis Hernan Contreras Pinochet, Guilherme de Camargo Belli Amorim, Durval Lucas Júnior and Cesar Alexandre de Souza
The article's objective is to analyze the consequent factors of Big Data Analytics Capability for firms in the competitive scenario, using different analytical models.
Abstract
Purpose
The article's objective is to analyze the consequent factors of Big Data Analytics Capability for firms in the competitive scenario, using different analytical models.
Design/methodology/approach
The research had a quantitative approach, using a survey of data from firms located in the state of São Paulo – Brazil. Structural Equation Modeling (SEM) was used to validate the model.
Findings
The results reveal that all hypotheses were accepted. Business value was the construct that had the most explanatory power in the model. It is necessary to invest more in analytical tools, as well as people trained in the analysis of these models, in addition to a change of mindset, which will dictate the bias of the firm's strategic decision-making. The Big Data analysis is evident from firms' growing investments, particularly those that operate in complex and fast-paced environments.
Practical implications
The proposed theoretical model makes it possible to verify firms' analytical structure and whether they are better positioned to analyze customer data and information in real-time, generate insights and implement solutions to maintain and improve their market position.
Originality/value
The contribution of this article is to present a proposal to expand the research models in the literature that analyzed the direct and indirect relationship between “Big Data Analytics Capability” and “Product Innovation Performance”.
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Vanessa Itacaramby Pardim, Luis Hernan Contreras Pinochet, Adriana Backx Noronha Viana and Cesar Alexandre de Souza
This research sought to propose a theoretical model that analyzes the factors associated with unlearning (individual and organizational) and contributes to generating and…
Abstract
Purpose
This research sought to propose a theoretical model that analyzes the factors associated with unlearning (individual and organizational) and contributes to generating and realizing ideas among young people at the beginning of their careers based on the predominant type of structure.
Design/methodology/approach
The study had a sample (n = 971) and used the multivariate data analysis partial least squares - Structural Equation Modeling (PLS-SEM regular) and multigroup analysis (PLS-MGA) to identify significant differences between the estimates of the specific parameters of each group (a- Organic/b- Mechanistic).
Findings
All the direct relationships and formulated mediations were found to be supported, except for H6 (ET→EO) within the group that had a primarily mechanistic organizational structure. Thus, the more turbulent the environmental, the more initiative-taking, innovative and risk-taking a company tends to be. However, it remains to be seen whether the organizational structure plays a role in facilitating or hindering this relationship. H1 (IG→IR) indicates that predominantly organic organizations have a stronger and more consistent relationship with the knowledge developed through individual and organizational unlearning process. This knowledge contributes to the idea-generation process and ultimately leads to realizing those ideas.
Originality/value
The article contributes to literature by proposing an original and integrated theoretical model incorporating individual and organizational approaches to unlearning to understand the effect on idea generation and realization.
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Keywords
Vanessa Itacaramby Pardim, Luis Hernan Contreras Pinochet, Adriana Backx Noronha Viana and Cesar Alexandre de Souza
Education is undergoing digital transformation intensified by COVID-19. In this context, gamification is an attractive alternative based on the use of elements of the games with…
Abstract
Purpose
Education is undergoing digital transformation intensified by COVID-19. In this context, gamification is an attractive alternative based on the use of elements of the games with educational purposes. However, it keeps the educational content to be learned as a central element without neglecting the “fun,” which contributing to engaging students. Therefore, this study aims to analyze the factors that affect students' engagement in an undergraduate course of Business Administration with gamified activities in remote education.
Design/methodology/approach
The authors collected data through a survey available to students of the administration course at a private university in São Paulo (n = 671). This study used a quantitative approach, using SEM with PLS estimation and with the support of other analytical techniques.
Findings
The results support all the hypotheses formulated. Those with the associated construct “competition” obtained the most robust relationships, which denotes that competition is an essential element in gamification. Despite being supported by the results, “network exposure” influencing engagement is one point of attention to improving teaching strategies.
Research limitations/implications
Graduate schools could implement this type of gamified activity, evaluating whether students enrolled in higher degrees would willingly engage in a learning activity considered “less serious.”
Practical implications
Higher education institutions can benefit from this study by understanding that gamification is presented as an active methodology that increases students' engagement in teaching.
Originality/value
This research addressed gaps in the factors that affect students' engagement with gamified activities, proposing an alternative theoretical model to those present in the literature.
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Luis Hernan Contreras Pinochet, Evandro Luiz Lopes, Caio Henrique Fernandes Srulzon and Luciana Massaro Onusic
“Internet of things” is a broad term used to describe network connectivity to physical objects. Called connectable or smart objects, they are embedded in electronic circuits and…
Abstract
Purpose
“Internet of things” is a broad term used to describe network connectivity to physical objects. Called connectable or smart objects, they are embedded in electronic circuits and software that make them capable of detecting, collecting and transmitting data and information. This paper aims to examine the influence of the attributes of “internet of things” products in the functional and emotional experience of purchase intention.
Design/methodology/approach
The study used a model adapted from Yaping et al. (2014), with adjustment for the constructs “emotional experience”, “functional experience” and “purchase intention”. The survey consisted of a sample of 747 valid questionnaires regarding users of “internet of things” products, through a structured questionnaire with 36 assertions, which were answered based on the Likert scale. The quantitative research approach followed an exploratory descriptive phase followed by the application of structural equation modeling.
Findings
Results validated most of the relationships of the model, with high levels of significance. In addition, there was a greater influence of emotional experience than functional on purchase intention for the selected sample, which mainly consisted of young people.
Originality/value
In short, the study confirmed the statistical significance of the structural paths, indicating that the proposed model is consistent, and with an appropriate adjustment can be applied in future research.
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Valmiane Vieira Azevedo Almeida, Carlos Francisco Simões Gomes, Luis Hernan Contreras Pinochet and Marcos dos Santos
This paper aims to comprehensively analyze renewable energy alternatives in Brazil, focusing on identifying the most suitable option for investment in the country’s sustainable…
Abstract
Purpose
This paper aims to comprehensively analyze renewable energy alternatives in Brazil, focusing on identifying the most suitable option for investment in the country’s sustainable development.
Design/methodology/approach
The study adopts the step-wise weight assessment ratio analysis-multiobjective optimization by ratio analysis −3NAG (a combination of three normalization methods) methodology, a multicriteria decision-making approach, to evaluate and rank renewable energy sources based on key criteria such as resource availability, cost-effectiveness, job creation potential and environmental impact.
Findings
The analysis reveals that solar energy emerges as the preferred choice for Brazil, offering significant advantages over other alternatives such as hydroelectric, wind and biomass energy. Solar energy’s distributed generation capability, cost reduction trends and positive environmental impact contribute to its favorable position in meeting Brazil’s energy needs.
Research limitations/implications
While the study provides valuable insights into renewable energy selection, there are limitations regarding the criteria’ scope and the exclusion of specific renewable energy options. Future research could explore sensitivity analyses and incorporate additional criteria to enhance the study’s comprehensiveness.
Originality/value
This research contributes to the existing literature by thoroughly analyzing renewable energy alternatives in Brazil using a robust multicriteria decision-making methodology. The study’s findings provide actionable guidance for policymakers, businesses and stakeholders seeking to promote sustainable energy development in the country.
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Luis Hernan Contreras Pinochet, Stefani da Silva Santos, Vanessa Itacaramby Pardim and Cesar Alexandre de Souza
This study aims to investigate the effects of nomophobia in the organizational environment, and the authors developed a research model consisting of the construct's loneliness…
Abstract
Purpose
This study aims to investigate the effects of nomophobia in the organizational environment, and the authors developed a research model consisting of the construct's loneliness, depression and anxiety. The growing competitiveness of the market and the need of many companies regarding the availability of employees demand attention.
Design/methodology/approach
The authors surveyed 454 Brazilian respondents and used covariance-based structural equation modeling to analyze the survey results. The model’s hypotheses proved significant, confirming the relationships proposed by the theoretical model.
Findings
Loneliness and depression, rather than anxiety, explained the influence of nomophobia on individuals’ ability to communicate when inserted in the professional context. Individuals were most likely to have high nomophobia incorporate psychological traits that involve emotional instability, and could benefit from the connection between people in a social group.
Practical implications
This study confirms that nomophobia can be a situational phobia evoked by the unavailability of a smartphone or by the idea of not having it, not being able to use it or losing it, even within the business context.
Social implications
The increase in loneliness and depression indicates a deficiency in the face of the smartphone’s benefits.
Originality/value
This paper provides contributions that seek to understand the effect of symptoms from smartphones in the workplace, also indicating that users may cause vulnerability. Companies can prevent vulnerability by creating policies prohibiting their use in the organization’s context and developing healthy habits that do not lead to addiction.
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Luis Hernan Contreras Pinochet, Cesar Alexandre de Souza, Adriana Backx Noronha Viana and Guillermo Rodríguez-Abitia
This research aims to propose the development of a model that identifies, in essential services, the determining factors affecting the technological advances offered by different…
Abstract
Purpose
This research aims to propose the development of a model that identifies, in essential services, the determining factors affecting the technological advances offered by different smart technologies in supermarket retail channels that influence citizens' quality of life, amidst the coronavirus disease 2019 (COVID-19) pandemic.
Design/methodology/approach
The data were collected using a cross-sectional questionnaire survey (n = 469). The authors applied the structural equation modeling (SEM) technique to test the hypotheses, along with the partial least squares (PLS) method for estimating latent variables and combining with the necessary condition analysis (NCA) method.
Findings
According to the results of the NCA method, the results were adequate, and more attention should be paid to the quality of life construct after finding the bottleneck point of 50%. In this sense, adaptive resilience was characterized as the main necessary predictor construct for quality of life. In addition, Generation Z and Millennials have the highest frequency of use in all smart technologies, with “assisted purchase” being the most widely used.
Social implications
Finally, the effect of the pandemic changed the consumption routine with supermarkets, not being a mere option but a necessity in the context of a smart city.
Originality/value
As a result, the proposed model was consistent, showing that all direct and indirect SEM paths were validated, highlighting data security and privacy and resilience issues. In addition, the NCA method complemented the procedures performed in the SEM phase.
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Nairana Radtke Caneppele, Fernando Antonio Ribeiro Serra, Luis Hernan Contreras Pinochet and Izabela Martina Ramos Ribeiro
The purpose of this study is to understand how neuroscientific tools are used and discussed in ongoing research on strategy in organizations.
Abstract
Purpose
The purpose of this study is to understand how neuroscientific tools are used and discussed in ongoing research on strategy in organizations.
Design/methodology/approach
The authors used a bibliometric study of bibliographic pairing to answer the research question. They collected data from the Web of Science and Scopus databases using the keywords “neuroscience*,” “neurostrategy*” and “neuroscientific*.”
Findings
This study presents a framework that relates fundamental aspects discussed in current research using neuroscientific tools: Neuroscience and its research tools in organizations; emotions and information processing; interdisciplinary application of neuroscientific tools; and moral and ethical influences in the leaders' decision-making process.
Research limitations/implications
The inclusion of neuroscientific tools in Strategic Management research is still under development. There are criticisms and challenges related to the limitations and potential to support future research.
Practical implications
Despite recognizing the potential of neuroscientific tools in the mind and brain relationship, this study suggests that at this stage, because of criticisms and challenges, they should be used as support and in addition to other traditional research techniques to assess constructs and mechanisms related to strategic decisions and choices in organizations.
Social implications
Neuroscientific methods in organizational studies can provide insights into individual reactions to ethical issues and raise challenging normative questions about the nature of moral responsibility, autonomy, intention and free will, offering multiple perspectives in the field of business ethics.
Originality/value
In addition to presenting the potential and challenges of using scientific tools in strategic management studies, this study helps create methodological paths for studies in strategic management.
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Luis Hernan Contreras Pinochet, Guilherme Tongnole Diogo, Evandro Luiz Lopes, Eliane Herrero and Ricardo Luiz Pereira Bueno
Given the large global investments made in FinTechs and the context of Brazilian credit (which has been suffering from the effects of the crisis in the last decade), the purpose…
Abstract
Purpose
Given the large global investments made in FinTechs and the context of Brazilian credit (which has been suffering from the effects of the crisis in the last decade), the purpose of this paper is to study the propensity of consumption of credit services offered by FinTechs of loans. In order to discover the factors that influenced the propensity to apply for FinTech loans, a theoretical model was designed, which was tested by means of a survey given to individuals who might contract loans.
Design/methodology/approach
The final sample consisted of 507 individuals whose data were analyzed through structural equation modeling (SEM), with estimation of partial least squares.
Findings
From the results of the research, it was possible to draw a profile of the FinTechs of Brazilian loans and also to estimate the antecedents of the propensity to utilize this type of service.
Research limitations/implications
The model proposed in this work was developed to measure the propensity to consume in relation to the credit services offered by lending FinTechs.
Practical implications
The consumer should intensify the use of these channels to shape financial products and services to their needs, thereby democratizing access to credit, which is often restricted in quantity and quality by policies of institutions that dominate the Brazilian lending market.
Originality/value
Aspects such as trust, personal innovation, perceived utility, ease of use and social influence, as well as the constructs that precede them like privacy, stigma and transactional distance, explain 41.5 percent of the propensity to use services from lending FinTechs in Brazil.
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Luis Hernan Contreras Pinochet, Giulie Furtani Romani, Cesar Alexandre de Souza and Guillermo Rodríguez-Abitia
The purpose of this paper is to identify the intention of living in a smart city as from its characteristics in the individual perception by the young public based on the proposal…
Abstract
Purpose
The purpose of this paper is to identify the intention of living in a smart city as from its characteristics in the individual perception by the young public based on the proposal of an expanded model.
Design/methodology/approach
The empirical research carried out herein was based on a survey, consisting of a sample of 380 valid questionnaires. Data analysis was carried out through multivariate quantitative approach using structural equation modeling, with estimation by partial least square.
Findings
In the model, it was possible to adapt all the characteristics of smart cities. The “environment” characteristic was the one that presented the greatest relationship in contributing to efficiencies that allow the migration of citizens and in reducing the environmental impact in the cities’ quality, and the “economy” characteristic was the one that presented the lowest relationship opening the opportunity that this concept can be more widespread within the economic agents and individuals for the society.
Originality/value
Finally, it is argued that efficiency in all characteristics will depend on the engagement of citizens in the innovation processes of public living in general. The smart city is distinguished from other typologies due to its success in the field of innovation, essentially depending on the collaborative process that is developed in environments that encourage discovery and idea generation.
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