Mariza Almeida, Guilherme Ary Plonski, Justin Axel-berg, Adelaide Baeta, Branca Terra, Bruno Simões and Henry Etzkowitz
This paper aims to propose a performance measurement system to evaluate the key aspects of entrepreneurial activities in Brazilian universities.
Abstract
Purpose
This paper aims to propose a performance measurement system to evaluate the key aspects of entrepreneurial activities in Brazilian universities.
Design/methodology/approach
This study was developed in two phases. Both phases consisted of a survey sent to Brazilian universities (public, private and not-for-profit) whose technology transfer offices (TTO) had contributed to the annual report by the Ministry of Science, Technology and Innovation (MCTI, 2015), which evaluates the implementation of the Innovation Law. Multiple correspondence analysis was used to analyze the answers.
Findings
A set of 13 indicators and 13 characteristics of the organizational structure of the institutions was identified for the purpose of evaluating the level of development of the entrepreneurship activities.
Research limitations/implications
The main limitation of this study relates to the low quality of the survey responses. It was not possible to qualitatively validate all the selected indicators. This is because universities are still not internally organized, because the higher authorities do not enforce the collection and treatment of data based on the existing legislation.
Originality/value
The results of this study, with the definition of indicators, can be used to inform public policy for the stimulation of entrepreneurship in other countries and regions.
Details
Keywords
Barbara de Lima Voss, David Bernard Carter and Bruno Meirelles Salotti
We present a critical literature review debating Brazilian research on social and environmental accounting (SEA). The aim of this study is to understand the role of politics in…
Abstract
We present a critical literature review debating Brazilian research on social and environmental accounting (SEA). The aim of this study is to understand the role of politics in the construction of hegemonies in SEA research in Brazil. In particular, we examine the role of hegemony in relation to the co-option of SEA literature and sustainability in the Brazilian context by the logic of development for economic growth in emerging economies. The methodological approach adopts a post-structural perspective that reflects Laclau and Mouffe’s discourse theory. The study employs a hermeneutical, rhetorical approach to understand and classify 352 Brazilian research articles on SEA. We employ Brown and Fraser’s (2006) categorizations of SEA literature to help in our analysis: the business case, the stakeholder–accountability approach, and the critical case. We argue that the business case is prominent in Brazilian studies. Second-stage analysis suggests that the major themes under discussion include measurement, consulting, and descriptive approach. We argue that these themes illustrate the degree of influence of the hegemonic politics relevant to emerging economics, as these themes predominantly concern economic growth and a capitalist context. This paper discusses trends and practices in the Brazilian literature on SEA and argues that the focus means that SEA avoids critical debates of the role of capitalist logics in an emerging economy concerning sustainability. We urge the Brazilian academy to understand the implications of its reifying agenda and engage, counter-hegemonically, in a social and political agenda beyond the hegemonic support of a particular set of capitalist interests.
Details
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Ekamdeep Singh, Prihana Vasishta and Anju Singla
Artificial intelligence (AI) has the potential to address significant challenges in education, innovate learning and teaching practices and achieve SDG 4. However, existing…
Abstract
Purpose
Artificial intelligence (AI) has the potential to address significant challenges in education, innovate learning and teaching practices and achieve SDG 4. However, existing literature often overlooks the behavioural aspects of students regarding AI in education, focusing predominantly on technical and pedagogical dimensions. Hence, this study aims to explore the significant relationships among AI literacy, AI usage, learning outcomes and academic performance of generation Z students in the Indian educational context.
Design/methodology/approach
The study used structural equation modelling (SEM) on Gen Z students born in the years 1997–2012 as a sample population for the research in the north Indian states like Punjab, Haryana, Himachal and regions like Chandigarh and N.C.R. Delhi.
Findings
The results established significant positive relationships between AI literacy, AI usage, AI learning outcomes and academic performance. Specifically, higher levels of AI literacy were associated with increased engagement with AI technologies and tools for learning purposes, leading to better learning outcomes and academic performance. The findings demonstrated that AI literacy plays a crucial role in providing effective learning experiences and fostering skills such as problem-solving and critical thinking among Gen Z students.
Research limitations/implications
The implications of the study include the significance of integrating AI education initiatives into curricula, prioritising professional development programmes for educators and making sure that every student has equitable access to AI technologies.
Originality/value
The study introduces a novel perspective by examining variables such as AI literacy, AI usage, AI learning outcomes and academic performance and developing a model that has not been previously studied. It provides a new discourse and proposes a framework uniquely combining AI-infused curriculum design, educator empowerment, robust assessment mechanisms and sustainable practices.