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The commercialization of research produced by universities constitutes a core facet of academic entrepreneurship (AE). Academic literature reveals the need to shed light on entrepreneurial processes in higher education institutions (HEIs). This study intends to fill this gap by researching the mechanisms for facilitating AE and the variables that can moderate the relationship between such mechanisms and AE in Portuguese HEIs.

Our research model aims to assess the mechanisms of academic entrepreneurship (AE) within a sample of 125 Portuguese public higher education institutions (HEIs). To test our research hypotheses, we employed a structural equation model (SEM) using the partial least squares (PLS) method. Additionally, our evaluation examines the potential moderating effects of incubator programs, support initiatives, and proof-of-concept programs (PoCs). Our research model seeks to evaluate the mechanisms for facilitating AE and explore the effects of including incubator programs, support initiatives, and PoCs as moderators. The seven variables (Research mobilization, Unconventionality, Industry collaboration, University policies, Incubator programs and support initiatives, Proof-of-concept programs, and academic entrepreneurship) were measured using a 7-point Likert scale.

The results revealed that different drivers of AE influence the creation and development of entrepreneurial activities. Our findings also show the moderating effects of incubator programs, support initiatives, and proof-of-concept programs on AE. We find that incubator programs, other support initiatives, and PoCs maintain a moderating effect on AE and benefit their respective HEIs.

The study examines only the Portuguese HEI context. Therefore, generalizing these results necessitates reservations. However, the responses came from various actors in HEIs, from different academic backgrounds and research interests. This makes the results more generalizable. Limitations are evident in external validity, given that we gathered the data over a relatively short period.

Observed factors are explored to gain a deeper understanding of their influence on the mechanisms of AE. The implications arise from the new perspective presented and the methodology used to identify mechanisms capable of fostering AE. We hope this research will encourage other researchers to study this topic further.

the engagement of universities at the global level should be emphasised in future policy. While universities in innovation systems often have a local focus, their engagement in innovation ecosystems transcends the boundaries of geographic locations.

PoCs had a significant positive moderating effect on the impact of research mobilization and university policies on AE. Thus, we find interactions between universities and industry boost AE. This study demonstrates how AE benefits HEIs by extending orientation towards mobilizing research, unconventional approaches, cooperation with industry, and university policy implementation. We thus advocate a new approach, demonstrating the influence that the mobility of research, unconventionality, industry collaboration, and university policies hold over AE.

The study directs attention to the psychological conditions experienced and knowledge management practices leveraged by faculty in higher education institutes (HEIs) to cope with the shift to emergency remote teaching caused by the COVID-19 pandemic. By focusing attention on faculty experiences during this transition, this study aims to examine an under-investigated effect of the pandemic in the Indian context.

Interpretative phenomenological analysis is used to analyze the data gathered in two waves through 40 in-depth interviews with 20 faculty members based in India over a year. The data were analyzed deductively using Kahn’s framework of engagement and robust coding protocols.

Eight subthemes across three psychological conditions (meaningfulness, availability and safety) were developed to discourse faculty experiences and challenges with emergency remote teaching related to their learning, identity, leveraged resources and support received from their employing educational institutes. The findings also present the coping strategies and knowledge management-related practices that the faculty used to adjust to each discussed challenge.

The study uses a longitudinal design and phenomenology as the analytical method, which offers a significant methodological contribution to the extant literature. Further, the study’s use of Kahn’s model to examine the faculty members’ transitions to emergency remote teaching in India offers novel insights into the COVID-19 pandemic’s effect on educational institutes in an under-investigated context.

The purpose of this study is to examine the link between knowledge-oriented leadership (KOL) and organizational performance (OP) at Higher Education Institutions (HEIs) both directly and indirectly through service innovation and knowledge-sharing quality.

This research used Smart PLS 4.0 to model structural equations using a sample comprising 237 academic staff from HEIs in China.

According to the study data, KOL has a negligible direct influence on organizational performance. The link between KOL and OP, on the other hand, is entirely mediated by the quality of knowledge sharing quality and service innovation.

The study results validate universities' experience with KOL and propose ways for academics at higher education institutions to prioritize the quality of knowledge sharing and service innovation, which in turn helps organizations function better in a volatile environment.

Despite the growing relevance of knowledge-oriented leadership in higher education, little research has been conducted to examine the mediating impact of numerous factors in the link between KOL and OP. The present research examines the link between knowledge-oriented leadership, the quality of knowledge sharing, service innovation and the performance of higher education institutions. The current study scientifically investigates the link between KOL and OP and offers insight into the existing literature by examining the mediating role of KSQ and SI.

This study aims to develop and validate a multidimensional scale to measure the motivating factors that lead to opportunity recognition in social entrepreneurship among higher education institute (HEI) students.

The scale was developed through two phases; in phase 1, semi-structured interviews with social entrepreneurs and aspiring students were conducted to explore themes for item generation. Phase 2 included developing and validating the scale using exploratory (EFA) and confirmatory factor analysis (CFA). The sample included HEI students (n = 300 for EFA, n = 300 for CFA) with either academic background or volunteering experiences in social entrepreneurship.

A 24-item scale is developed in the study, with six factors measuring the motivating factors influencing opportunity recognition in social entrepreneurship: life experiences, social awareness, social inclination, community development, institutional voids and natural option for a meaningful career.

The scale facilitates the development of theories and models in social entrepreneurship. The scale also enables policymakers and social entrepreneurship educators to understand the motivating factors that lead to opportunity recognition among students. It would help them to provide target-specific support to students.

To the best of the authors’ knowledge, this study is the first attempt to develop a scale that measures opportunity recognition in social entrepreneurship based on specific motivating factors. The study used the model by Yitshaki and Kropp (2016) as the conceptual framework. This study is the first attempt to triangulate the model’s findings using a quantitative methodology and through the development of a measurement scale. Besides, the scale adds value to social entrepreneurship research, which lacks empirical research on HEI students.

The study aims to ratify skills necessary to bridge the gap between the existing models and emerging needs of a technology-enabled workspace; especially in the Indian context.

This paper extends the ongoing debate on a relevant employability framework suitable both for higher education institutes and corporates. To remain resilient to future catastrophes similar to the ongoing pandemic, the relevancy of established employability skills to suit the changing scenario needs to be established.

The partial least squares (PLS) technique has been used to present a framework confirming the importance of digital competencies, business fundamentals and behavioral skills. In-depth discussions with specialists ratified the proposed framework and recommended potential changes in curriculum and pedagogy.

This study validates an explicit and comprehensive employability skill framework and useful recommendations in teaching strategies, which may provide a broad skill base for graduates to prepare for the volatile business environment in the long run.

The study has been able to put forth significant employability skills as deemed significant by the three stakeholders. This will provide guidance to higher educational institutions (HEIs) to come up with a broad skill-base for the fresh graduates and prepare them for the volatile business environment and encourage life-long learning to remain productive in the long run.

The study is unique as it incorporates the perceived importance of the competencies assumed by each stakeholder, namely, employers, faculty and management graduates, which was unfortunately lacking in earlier researches.

The study explores Degree Apprenticeship Identity (DAI) conceptualisation to enrich understanding to enhance work-integrated learning (WIL). Lived experiences of degree apprentices (DAs) are examined, and a model of DAI developed to support teaching and learning interventions on this relatively new and significant programme.

It draws pragmatically upon qualitative data from semi-structured interviews with Chartered Manager Degree Apprenticeship from diverse backgrounds in a higher education institutes (HEI). Data were explored abductively, using thematic analysis to investigate common patterns that influence identity; investigating personal experiences, socio-economic and cultural background, educational context and social interactions.

Influential themes surfaced, including pride in work, supporting others, sharing experiences and belonging, facilitating DAI model formation. The model illustrates that DAI is composed of existing personal, necessary professional and power of learning transformation through social identity by interventions that encourage peer engagement, group reflection and group-actualisation.

As this is a small-scale exploratory study, it is not intended to be representative of wider populations, which results in generalisability of findings. Data were collected from a well-established closed cohort programme led by the researcher, previously programme director. Interviews generated a broad range of anecdotal evidence, surfacing valuable insights relating to DAI formation.

To enhance WIL, tutors can foster social interventions that encourage peer dialogue, heighten DAs sense of self as capable learners and increase confidence growth.

The research provides a DAI Model, a fresh approach to understanding ways to enhance WIL for DAs through a stronger focus on group identity through social interventions. This preliminary model presents an opportunity for further research; other apprenticeships, larger and/or open cohorts.

According to the literature, general personality traits are less strongly related to the creation of new ventures than specific/proximal personality traits. Therefore, this study aims to understand the different proximal personalities that influence the entrepreneurial intention to start a new venture and the relationship between them.

Data were gathered through a self-administered questionnaire filled in by students of entrepreneurship or related courses at the end of the second semester (2019/2020 academic year), and the research option is based on covariance-based structural equation modelling.

The results of this study show that entrepreneurial intentions can be predicted by specific individual traits, namely, risk-taking, entrepreneurial alertness, creativity, proactivity and self-efficacy. Moreover, it was found that risk-taking mediates the relationship between entrepreneurial alertness and proactivity. On the other hand, students’ creativity mediates the relationship between risk-taking and proactivity. Finally, students’ self-efficacy mediates the relationship between proactiveness and entrepreneurial intention.

The results have implications for entrepreneurship education given that a better understanding of the personality traits that influence entrepreneurial intentions can lead to the development of new approaches and pedagogical tools.

This model can be used as a diagnostic tool for designing an effective and efficient entrepreneurship curriculum and pedagogy, acting as an (ongoing) audit of students’ entrepreneurial intentions to get a scientific basis in case of further course/module adjustments.

Lack of appropriate student support and drawbacks in academic progression signify the importance of enhancing assessment and feedback in higher education (HE). Although assessment and feedback are significant in HE, minimal empirical research holistically explores the best practices. This study aims to address the niche and develop a decisive guideline for enhancing assessment setting and feedback provision within HE curricula.

A systematic approach was taken to obtain data for the study: a literature review underpinning the thematic content analysis of study documents, followed by semi-structured interviews. Document analysis contained mid-module reviews/student feedback; rubrics used in assessment; and formative/summative feedback provided for the graded work. Documental analysis informed the key attributes of the semi-structured interview. Interpretive structural modelling (ISM) analysis identified the influence and reliance of each driver.

This study revealed 15 drivers – 4 fundamental, 6 significant and 5 important – for enhancing assessment and feedback. The level partitioning from the ISM analysis established that all assessment and feedback needs to be underpinned by the university policy and fed into the assessment regime and marking scheme. This study identified that National Student Survey results were significantly improved due to implementing said drivers compared with the national and sector benchmarks.

The developed drivers enable the best practices in assessment setting and feedback provision. The level partition diagram can be used as a decisive guideline or a provisional framework in assessment and feedback provision for quality assurance in HE.

This study is one of, if not the only, to develop a guideline for signposting drivers and their influence and reliance to enhance assessment and feedback in a holistic HE setting. The developed drivers and the level partition diagram bring novelty and add to the current body of knowledge.

In order to achieve a sustained level of entrepreneurship in India, it is very important that the spirit and culture of entrepreneurship are ingrained in students, right at the “school” level. Specifically, in this study we examine how student entrepreneurial behavior is influenced by entrepreneurial activities at school.

We chose schools in India to recruit the students’ samples; 520 higher secondary school students were approached in-person to understand their entrepreneurial intentions (EI). We applied PLS-SEM to test the relationships of serial mediation.

Our findings imply that the students' entrepreneurial intentions are largely influenced by the school’s entrepreneurship program (e.g. labs, lectures and exercises). Further, we noted that school career guidance and students’ entrepreneurship attitude effectively mediate the relationship between school entrepreneurship curriculum and EI.

Entrepreneurship education beginning in schools does foster stronger entrepreneurial intent over the short-term. It also helps in fostering entrepreneurs, who create jobs and support in achieving the country’s desired SDGs.

The study contributes new dimensions to entrepreneurship research focusing on school children hence anchoring at early stages.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0350

As sustainable performance has a central role in the small and medium enterprises (SMEs) performance literature, this study aims to examine the influence of networking capabilities in enhancing sustainable performance through knowledge workers’ productivity and digital innovation. It also examines the sequential mediating role of knowledge workers’ productivity and digital innovation on networking capabilities and SMEs’ sustainable performance relationship.

Data were collected from 308 knowledge workers in the information technology sector and analyzed using the Hayes Process Macro bootstrapping method to test the proposed hypotheses.

Results indicate that knowledge workers’ productivity and digital innovation individually and sequentially mediate the relationship between networking capabilities and SME’s sustainable (economic and environmental) performance, surprisingly, they do not act as a mediator between networking capability and SME’s social performance. SMEs should prioritize investments in the professional development of their knowledge workers through training and skill enhancement programs. This investment equips knowledge workers with the tools to effectively use the knowledge and resources acquired through networking. Thus, knowledge workers may improve performance by using these resources to tackle challenges.

Although this research focused on this specific context, it is prudent to acknowledge that additional factors may also exert influence on sustainable performance within SMEs, factors that managers may consider when making decisions. Methodologically, the cross-sectional design of this research poses a potential limitation, as it does not allow for the complete elimination of endogeneity concerns. However, it is worth noting that scholars have endorsed the use of cross-sectional data in cases where management researchers aim to expand beyond well-documented and longitudinal data sets.

This research offers practical recommendations for SMEs to improve their sustainable performance through networking. SMEs should seek partnerships with complementary knowledge to improve operations and for other performance-oriented benefits.

This study adds significantly to the literature on sustainable SME performance by studying the interdependent effects of networking capabilities. It also represents the individual and sequential mediation mechanism that links networking capabilities to SME success through knowledge worker productivity and digital innovation.