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This paper extends entrepreneurial ecosystems theory by testing how aspects of the local business environment affect individual entrepreneurs' ability to translate their personal resources into firm performance.

Data were collected from 223 business owners across Australia. Moderation hypotheses were tested using multiple hierarchical regression and confirmed with the Preacher and Hayes (2004) bootstrapping method.

The results show that business owners' psychological capital, social capital and entrepreneurial education directly affect their individual firm performance. These positive relations are moderated by specific aspects of the business environment, such that they are stronger when the environment is more favorable.

This study puts individual business owners back into entrepreneurial ecosystems theory and explains how they can make the most of their personal resources, suggesting a complex interplay where one size does not fit all. Far-reaching practical implications for policymakers are discussed.

This study explored the experiences of Irish emergency medical services (EMS) first responders during the first nationwide restrictions to curb the spread of COVID-19.

A systematic literature review (SLR) of research into healthcare workers' and first responders' experiences during the COVID-19 and 2003 SARS pandemics was performed. The SLR informed the content of an online questionnaire distributed via the Irish Pre-Hospital Emergency Care Council to 2,092 first responders on its live register. Data analysis used both descriptive and content analysis.

EMS first responders faced many challenges including PPE quality, training on its use, issues with decontamination facilities, and organisational effectiveness. Emotional challenges included the anxiety experienced, the impact on families, and ethical dilemmas confronted related to patient care. Positive findings also emerged, such as first responders' dedication to working through the pandemic, collegiality, and the community goodwill displayed.

While investigations of the impact of the COVID-19 pandemic on healthcare workers have been undertaken globally, studies focussing exclusively on the experiences of EMS first responders have been rare. This study addressed this knowledge gap, providing an insight into the challenges and successes experienced by first responders and identifying opportunities for learning that can be applied to future public health emergencies.

This study aims to predict the Indian stock market (Nifty 50) by employing macroeconomic variables as input variables identified from the literature for two sub periods, i.e. the pre-coronavirus disease 2019 (COVID-19) (June 2011–February 2020) and during the COVID-19 (March 2020–June 2021).

Secondary data on macroeconomic variables and Nifty 50 index spanning a period of last ten years starting from 2011 to 2021 have been from various government and regulatory websites. Also, an artificial neural network (ANN) model was trained with the scaled conjugate gradient algorithm for predicting the National Stock exchange's (NSE) flagship index Nifty 50.

The findings of the study reveal that Scaled Conjugate Gradient (SCG) algorithm achieved 96.99% accuracy in predicting the Indian stock market in the pre-COVID-19 scenario. On the contrary, the proposed ANN model achieved 99.85% accuracy in during the COVID-19 period. The findings of this study have implications for investors, portfolio managers, domestic and foreign institution investors, etc.

The novelty of this study lies in the fact that are hardly any studies that forecasts the Indian stock market using artificial neural networks in the pre and during COVID-19 periods.

The purpose of this paper is to make a correlation analysis between students’ online learning behavior features and course grade, and to attempt to build some effective prediction model based on limited data.

The prediction label in this paper is the course grade of students, and the eigenvalues available are student age, student gender, connection time, hits count and days of access. The machine learning model used in this paper is the classical three-layer feedforward neural networks, and the scaled conjugate gradient algorithm is adopted. Pearson correlation analysis method is used to find the relationships between course grade and the student eigenvalues.

Days of access has the highest correlation with course grade, followed by hits count, and connection time is less relevant to students’ course grade. Student age and gender have the lowest correlation with course grade. Binary classification models have much higher prediction accuracy than multi-class classification models. Data normalization and data discretization can effectively improve the prediction accuracy of machine learning models, such as ANN model in this paper.

This paper may help teachers to find some clue to identify students with learning difficulties in advance and give timely help through the online learning behavior data. It shows that acceptable prediction models based on machine learning can be built using a small and limited data set. However, introducing external data into machine learning models to improve its prediction accuracy is still a valuable and hard issue.

With the aid of naturalistic simulations, this paper aims to investigate human behavior during manual and autonomous driving modes in complex scenarios.

The simulation environment is established by integrating virtual reality interface with a micro-simulation model. In the simulation, the vehicle autonomy is developed by a framework that integrates artificial neural networks and genetic algorithms. Human-subject experiments are carried, and participants are asked to virtually sit in the developed autonomous vehicle (AV) that allows for both human driving and autopilot functions within a mixed traffic environment.

Not surprisingly, the inconsistency is identified between two driving modes, in which the AV’s driving maneuver causes the cognitive bias and makes participants feel unsafe. Even though only a shallow portion of the cases that the AV ended up with an accident during the testing stage, participants still frequently intervened during the AV operation. On a similar note, even though the statistical results reflect that the AV drives under perceived high-risk conditions, rarely an actual crash can happen. This suggests that the classic safety surrogate measurement, e.g. time-to-collision, may require adjustment for the mixed traffic flow.

Understanding the behavior of AVs and the behavioral difference between AVs and human drivers are important, where the developed platform is only the first effort to identify the critical scenarios where the AVs might fail to react.

This paper attempts to fill the existing research gap in preparing close-to-reality tools for AV experience and further understanding human behavior during high-level autonomous driving.

This work aims to systematically analyze the inconsistency in driving patterns between manual and autopilot modes in various driving scenarios (i.e. multiple scenes and various traffic conditions) to facilitate user acceptance of AV technology.

A close-to-reality tool for AV experience and AV-related behavioral study. A systematic analysis in relation to the inconsistency in driving patterns between manual and autonomous driving. A foundation for identifying the critical scenarios where the AVs might fail to react.

To meet future healthcare needs, primary care is undergoing a transformation in which innovations and new ways of working play an important role. However, successful innovations depend on joint learning and rewarding collaborations between healthcare and other stakeholders. This study aims to explore how learning develops when entrepreneurs, healthcare professionals and older people collaborate in a primary care living lab.

The study had an action research design and was conducted at a clinically embedded living lab at a primary care centre on the west coast of Sweden. Data consisted of e-mail conversations, recordings from design meetings and three group interviews with each party (entrepreneurs, healthcare professionals and older people). Data were analysed with inductive qualitative content analysis.

An overarching theme, “To share each other’s worlds in an arranged space for learning”, was found, followed by three categories, “Prerequisites for learning”, “Strategies to achieve learning” and “To learn from and with each other”. These three categories comprise eight subcategories.

This research contributes to knowledge regarding the need for arranged spaces for learning and innovation in primary care and how collaborative learning can contribute to the development of practice.

The coach−athlete relationship mediates the relationship between sports participation and student-athlete character, health and well-being outcomes. High school athletic administrators (AAs) can provide critical leadership, mentorship and direction for coaches to optimize student-athlete performance and human development. Social and emotional learning (SEL) is an evidence-based approach to developing adult and student competencies for holistic development across the lifespan that has been primarily performed and researched in the classroom. The purpose of this research is to capture the lived experiences of AAs applying a novel SEL-based curriculum (InSideOut Initiative, ISOI) with coaches and student-athletes in high school sports.

Interviews of 10 AAs captured their lived experiences of applying SEL-based leadership and coaching and their perception of its impact on coaches and student-athletes in high school athletics.

AAs described leadership and coaching that are characterized by (1) safety, support and mentorship; (2) skill and support-based behavior modeling; (3) trusting, loving and supportive relationships; (4) self-reflection of values/beliefs and behaviors that impact self, student-athlete and culture; (5) the influence of emotions on the aforementioned; (6) the ability to have a long-term, sustainable impact on student-athletes and (7) alignment with their immediate environmental context.

The data captured in this study suggest that ISOI-trained AAs practice SEL-competent leadership and coaching. Evaluation of the novel application of SEL-based interventions in athletics will be useful to understanding their effects on participant social and emotional competencies and outcomes traditionally associated with classroom-based SEL applications.

Athletic administrator interviews describe an approach to high school sports that requires a reconceptualization of the purpose of athletics. When the high school sport operates as a curriculum, integrated opportunity for its student-athletes and athletic administrator and coach leadership aligns with this overarching philosophy, there may be increased potential for positive youth development.

The results of this research are valuable in demonstrating preliminary evidence of how SEL-based leadership and coaching is applied and impacts adult and student-athletes in a unique sport context.

While women are increasingly in senior positions in accountancy firms, a century after gaining entry to this once exclusively male field, they are still struggling to achieve career success. The concept of possible selves and a model of career crafting are activated in an analysis of how a set of New Zealand professional accountants have pursued their careers. This paper aims to focus on how people actively craft career selves in the context of organisational and gendered constraints, some of which are self-imposed, and therefore, can be modified and revised.

Interviews with 36 male and female accounting professionals in New Zealand – 21 working in private firms and 15 in academia identify how careers are shaped by contexts, cultural understandings of gender, organisational structures within which accountants are located and wider environmental factors.

Women accountants in this study are both agential and responsive to a range of constraints they encounter. These women challenge the notion that professional achievement requires single minded allegiance to a career; their strategic career crafting demonstrates how career and family commitments are not irreconcilable but can be skilfully integrated to nurture multiple selves. Their strategies are considered alongside those of a comparable set of male accountants.

This paper contributes to the literature on possible selves and the complexity of gendered lives through the application of a career crafting matrix to explore how accounting professionals forge careers and construct multiple selves.

This paper seeks to explore the functions of Christmas mythemes for children’s consumption culture development. In addition, the purpose of this study is to provide an insight on the development of Central European Children into customers and how mythemes are associated with the wishing behaviour.

Levi-Strauss’ (1955) structural analysis was used to uncover the mythemes of the Christmas story for Austrian children. These mythemes then informed a thematic analysis of 283 Austrian children’s Christmas letters. Campbell’s (1970) functions of myths were used to reflect on the findings.

The Christmas mythemes uncovered were found to encourage materialism by linking self-enhancement (good acquirement) with self-transcendent (good behaviour) values. The role of myths to relieve the tension between the incongruent values of collective/other-oriented and materialistic values is expanded upon. Such sanctification of selfish good acquisition is aided by the mythemes related especially to the Christkind and baby Jesus. Instead, marketers should use Christmas mythemes which emphasise family and collective/other-centred values.

By first uncovering the “mythemes” related to Christmas, the authors contribute to the academic understanding of Christmas, going beyond origin or single myth understandings and acknowledging the multifaceted components of Christmas. The second contribution is in exploring mytheme’s representation in children’s Christmas letters and reflecting on their functions. This differs from previous literature because it looks at one of the main cultural vehicles for Christmas socialisation and its intersection with the mythemes that feed children’s consumption culture formation. Through the authors’ presentation of a conceptual framework that links mytheme functions with proximal processes using a socioecological viewpoint, the authors demonstrate the guidance of mythemes in children’s development. The third contribution is a reflection on the potential ethical implications for children’s formation of their consumer culture based on the functions of the mythemes. Furthermore, the authors add to the existing body of research by investigating a Central European context.

Today, low-income people seeking resources from the federal government must often work through non-profit organizations. The purpose of this paper is to examine the constraints that the poor must face today to secure resources through non-profit organizations.

This is a conceptual paper. The authors review cases of non-profit organizations providing federally supported resources to the poor across multiple sectors.

The authors find that to accept government contracts serving the poor, nonprofit organizations must often engage in one or several practices: reject clients normally consistent with their mission, select clients based on likely outcomes, ignore problems in clients’ lives relevant to their predicament, or undermine client progress to manage funding requirements. To secure government-supported resources from nonprofits, the poor must often acquiesce to intrusions into one or more of the following: their privacy (disclosing sensitive information), their self-protection (renouncing legal rights), their identity (avowing a particular self-understanding) or their self-mastery (relinquishing authority over daily routines).

The authors show that the nonprofits’ dual role as brokers, both liaisons transferring resources and representatives of the state, can complicate their relation to their clients and the predicament of the poor themselves; the authors suggest that two larger trends, toward increasing administrative accountability and demonstrating deservingness, are having both intended and unintended consequences for the ability of low-income individuals to gain access to publicly funded resources.