Search results

This paper aims to identify the antecedents’ factors that positively and negatively influence the intention to use big data analytics (BDA) by future managers of companies.

The sample comprised 364 business students from a public university in Brazil. The methodology had a quantitative approach, with the use of structural equation modeling.

This paper presented a robust model with a high explanatory factor for the intention to use BDA, in which the elements of positive influence on the intention to use are expected performance, social influence and cost–benefit, and the negative influence factor is resistance to use.

Research on BDA has improved the understanding of the phenomenon, mostly emphasizing the technical dimensions of BDA and underestimating organizational and human dimensions. This research contributed to the literature by presenting new insights into these organizational and human aspects by presenting influencing factors for future managers. User resistance is a variable that can incorporate technology adoption theories in BDA.

The results present a positive perception of future managers in the decision on financial resources in the acquisition of new technologies and enable managers to improve planning, investment and choice of technologies while presenting insights from the next generation. Issues regarding privacy, security and ethical aspects are key to minimizing user resistance.

This paper fills a significant research gap on the adoption of BDA, presenting the perception of future managers on fundamental aspects of adoption in a developing country. In addition, the research offers a theoretical model with new latent variables for a current and relevant topic.

Knowledge-intensive entrepreneurial firms (KIE) strongly rely on scientific and strategic research and development (R&D) capabilities to achieve higher performance levels. Hence, the purpose of this paper is to disentangle the effects of scientific capabilities and strategic R&D on KIE performance; and how the constituent elements of these dimensions can be configured to generate conditions for high performance.

The authors’ empirical setting involves companies that submitted projects to the Innovative Research in Small Businesses (PIPE) program in Brazil. The authors then run partial least square structural equation modeling to verify how scientific and strategic R&D capabilities influence the performance construct. Second, the authors apply fuzzy-set qualitative comparative analysis to identify configurations that are equifinal in terms of generating superior performance.

Findings indicate a strong association between scientific capabilities and KIE performance. The configurational approach outlines the existence of multiple paths to success, but human capital stands as a core condition throughout estimations.

The authors’ assessment has implications for how KIE firms are managed according to their organizational profiles and trajectories. Also, it advances the authors’ comprehension on how entrepreneurship policies can better target these distinct profiles.

The authors’ analysis provides new evidence on the inherent complexity behind the generation of high performance in KIE when addressing their portfolios of knowledge-related capabilities. More than that, the authors were able to identify the existence of heterogeneous profiles that can equally lead to higher levels of performance.

This paper aims to understand the difficulties faced by Latin American oil and gas (O&G) companies in adopting integrated practices aligned with the UN Sustainable Development Goals (SDG) Agenda.

A Delphi study was conducted with 14 experts with extensive knowledge and experience in the O&G sector to collect opinions and investigate sustainable practices in the Latin American context.

A consensus was reached after two rounds, demonstrating a unified view of sustainability experts on the difficulties faced by O&G companies to adopt practices aligned with the SDGs. The difficulties identified through the Delphi method were allocated into five clusters named: “public sector and governments,” “civil society,” “corporate issues,” “technology and innovation” and “financial aspects.” These clusters were used to discuss the main challenges associated with implementing business practices that recognize the SDGs and their achievement as a synergistic reinforcing system rather than an additive structure.

This study provides further insights into the underexplored subject relating to the challenges experienced by Latin American O&G companies in the implementation of the SDGs, adopting the perspective of academic and industry experts in this field. The findings can help professionals in O&G companies implement sustainable practices, policymakers in debates about futures laws and regulations and academic in future research.

It was aimed to propose and test a theoretical model to evaluate how some dimensions of environmental awareness influence the intention of consuming organic products using gender as a control variable.

The research was developed through quantitative methodology with the use of multivariate data analysis (PLS-SEM). The model uses a second-order construct. Although, it was conducted in a nonprobabilistic way using a convenience sample, with 213 university students.

It was confirmed the relation between the environmental awareness dimensions' influence and the intention to buy organic products that is also influenced according to the consumers' gender. There is a more positive effect and intensity in the organics' purchase by women.

The nonprobabilistic nature in addition to the use of the convenience sample, factors that do not allow the generalization of the results, are some limitations. Moreover, the dimensions of environmental awareness proposed do not include all of the motivators about the organic consumption.

The results identified the factors that motivate the intention to consume organic products in Brazilian context and can contribute to managerial strategies formulation in order to increase the value perceived by the customer in relation to the consumption of these products.

This paper presents a deeper understanding about the dynamics between the factors that can guide the choice for organic products, besides providing a greater theoretical and empirical support tested by the use of a second-order construct.

There is no consensus on the most effective way to foster entrepreneurship in educational institutions, and educational policies on entrepreneurial activity differ significantly amidst organizations and contexts. Thus, the objective of this research is to analyze influence of the college environment and entrepreneurial characteristics on the entrepreneurial intention of Brazilian high school/technical students.

The empirical research used partial least squares structural equation modeling (PLS-SEM) and a sample of 384 students of technical courses, such as Administration, Systems Development, Chemistry, Secretariat, among others.

The proposed model was validated, and the hypotheses were confirmed, proving suitable for high school/technical education. Assessing the high school environment with this model can help determine each organization's strengths and weaknesses and, indeed, the impacts on the ecosystems in which it operates. The results of the multi-group analysis indicate differences concerning the courses as well.

The main limitations involve non-probabilistic sampling procedures and the collection having been carried out with a single cross-section.

For managers and teachers, this article presents indicators to qualify the activities of the educational environment, considering teaching activities, extracurricular activities, fairs, actions of teachers and students, among other initiatives.

The article contributes to high school managers, particularly in technical schools, so that they understand the factors that influence the profile and entrepreneurial intention of students; in other words, something that can impact the lives of thousands of students, teachers and the community itself.

This research presents a novel analysis of the antecedents that drive student entrepreneurship in an underexplored educational context in a developing country. The results show the necessary conditions for technical schools to foster entrepreneurial activity, feeding innovation ecosystems with entrepreneurial talent.

This study investigated the impact of some determinant organizational factors on disseminating LGBT information in Brazilian companies in 2019.

The study is exploratory and has a quantitative approach, which uses secondary data from the CSR Hub database 2019 of publicly traded Brazilian companies. For constructing the LGBT disclosure metric, the authors took the study by Parizek and Evangelinos (2021). The independent variables were the social responsibility, financial and governance characteristics of the companies. Analysis was conducted by combining a symmetric method (multiple linear regression analysis with econometric models) and an asymmetric approach (fuzzy-set qualitative comparative analysis).

The research findings showed that companies with higher performance in CSR have greater LGBT disclosure. Findings also show that companies with higher financial performance tend to have greater LGBT disclosure. This is because larger companies have more resources to invest in CSR practices and sexual diversity policies, as well as a greater number of stakeholders pressing them to act more responsibly. Additional results showed that companies that signed the UN Global Compact and publish an environmental report annually have greater engagement in LGBT disclosure.

This study's novelty emerges from applying the fsQCA technique, which helps to a broaden understanding of the conditions necessary to achieve greater LGBT disclosure. Furthermore, this study initiates the debate on LGBT disclosure in emerging economies, a recent topic and still little explored empirically.

The study aims to analyze the influence of managerial support, autonomy and reward perception on the innovative behavior of university professors.

Quantitative methodology based on partial least squares structural equation modeling. The sample obtained totaled 208 responses from professors at three public universities in the State of Sao Paulo, Brazil.

The results indicate that managerial support is a fundamental factor for developing an organizational environment that is more conducive to innovative behavior and corporate entrepreneurship. However, in educational institutions with a more focused entrepreneurial ecosystem, it was discovered that reward perception is not a fundamental factor for the innovative behavior of university professors.

From a practical perspective, academic institutions interested in stimulating corporate entrepreneurship should create opportunities for collaboration among professors to solve problems, encourage professors to expose their work beyond the university environment and improve the main indicators of management support and autonomy presented in this research.

The study presents indicators and implications, which are of particular interest for university managers and public policy writers.

The study is demonstrably original. Through its unique analysis of the innovative behavior of university professors and the connections between variables in the university environment and its use of a robust modeling method in an emerging-economy context, the study furthers existing research by helping to understand why some firms are better than others at corporate entrepreneurship.

The purpose of this paper is to analyze what is the influence of the junior enterprise environment on the entrepreneurial profile and intention of university students and what is the difference in the entrepreneurial behavior between students who participated and students who did not participate in junior enterprises.

A quantitative approach based on multivariate data analysis using confirmatory factor analysis and structural equation modeling was applied to a sample of 549 respondents.

Participation in junior enterprises influences the development of the students’ entrepreneurial profile more than their entrepreneurial intention. This study presents which behavioral characteristics are mostly developed with participation in a junior enterprise.

The questionnaire with perception conditions and self-assessment indicators; data collection by a single cross-sectional research design; the scope of the research, which did not use a probabilistic sampling.

Practical implications are to assist higher education institutions in having a more accurate understanding of the role of junior enterprises in stimulating university entrepreneurship. To implement an effective entrepreneurial education, stimulating junior companies can be a fundamental action for the HEIs, and this is valid for courses in all areas. Entrepreneurial education in a practical context, as in the case of a junior company, can increase entrepreneurial intention.

This research fills a research gap on the uncertainty of the effectiveness of entrepreneurial education in developing the entrepreneurial behavior and entrepreneurial intention of students, at least when considering the junior company as part of entrepreneurial education in the university context, presenting a robust quantitative methodology and a large sample in a developing country.

The aim of this research was to evaluate the maturity level of strategic communication management implemented by Brazilian startups.

This study employed the analytic hierarchy process (AHP), survey and Grey Fixed Weight Clustering modeling techniques. Three experts with extensive academic and practical experience in the subject participated in the AHP process, providing their opinions on the relative importance of eight variables associated with the topic under investigation, thus enabling their prioritization. Concurrently, data were collected through a survey from 23 respondents who have extensive knowledge about the realities of Brazilian startups. The weights derived from the AHP and the survey data were utilized in the Grey Fixed Weight Clustering modeling.

Based on the opinions of the 23 respondents, the level of implementation of practices related to strategic management, brand management, external image management and internal communication management is superficial. In addition, according to the majority of experts, Brazilian startups exhibited a medium level of maturity to address the key challenges related to communication management. Furthermore, this study reveals that the variables “financial resources allocation,” “stakeholder relationship” and “brand management” were deemed the most significant for the model.

The contributions presented herein can be beneficial for both researchers and startup managers seeking to enhance communication strategies in their organizations. This research also contributes by highlighting how grey systems theory can be extremely useful for conducting decision-making analyses in the context of startups, which is characterized by uncertainty and imprecise information.

This study aims to evaluate the influence of factors attributed to relationship attractiveness between supplier and customer, from the supplier’s perspective.

The empirical exercise was based on the use of multivariate data analysis with confirmatory factor analysis and a partial least squares approach to structural equation modeling.

The study resulted in a robust model, with a high explanatory factor for the latent variable relational attractiveness and commitment was the most influential factor, followed by expected value and interorganizational trust.

Some limitations of the study can be highlighted: conducting research in a single cooperative and with a single audience; choosing a short-cycle supply chain, which may make it difficult to generalize to other industries; the cross-section nature of data also hinders the analysis to understand how the association between variables of interest may vary over time.

The negative influence of interpersonal trust reinforces the importance of developing collaborative attitudes between parties, whereas the non-significant value for dependence (financial and volume dependence) shows this is not a risk factor for relational attractiveness in a supply chain. Such results provide evidence on how to develop relationship management between suppliers and customers that are part of the same supply chain.

It offers a new perspective for research in cooperatives, which still have no consensus on the motivating factors for members’ participation, including as evidence the results of the largest flower producing center in Latin America. The more a cooperative succeeds in increasing relational attractiveness, the greater the cooperative power and the ability to adapt to shocks and changes, which are fundamental factors for the success and longevity of the cooperative.

The research presents a model that is comprehensive enough to fit in different contexts and consider its specific characteristics. Additionally, this paper has added in-depth information on the relational attractiveness relationships in the context of a developing country.