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More pluralistic approaches have recently emerged in entrepreneurship, yet the discipline remains disinterested in the ideological influences underpinning its research and teaching practices. Following Louis Althusser’s work on interpellation, the process by which ideology enrols and consummates its subjects, the chapter examines the interpellation of entrepreneurship-as-practice researchers and draws attention to the powerful nature of ideology. Critical reflexivity is put forward as an exercise to explore the researchers’ beliefs and identity and to tease out their relationship with the discipline. Finally, using three autoethnographic accounts, the chapter argues that the boundaries of the entrepreneurship discipline can only be shifted if and when researchers learn to recognise themselves as ‘the person in the mirror’. The reflexive spotlight also allows researchers to spot ideological breaks and engage in acts of ‘ideological resistance’.

The authors focus on using Critical Race Theory (CRT) as a lens through which to analyze the holistic welfare development of Black male student-athletes, namely their identity development and overall college and career readiness. The authors contend that if structured and delivered well with the appropriate supports, athletics can be more of a mobilizing mechanism for Black males versus an exploitive one. Specifically, athletic identity does not have to be exclusive, but rather one aspect of the student-athletes' multidimensional sense of self. To this end, the authors outline specific research, practice, and policy recommendations that address the unique challenges of Black male student-athletes in K-16.

The purpose of this study is to test the effect of entrepreneurship education programs (EEPs) on the individual entrepreneurial orientation (IEO) by considering the innovativeness, proactiveness and risk-taking dimensions of undergraduate students and the role of these dimensions on the relationship between program inspiration (PI) and entrepreneurial intention (EI).

This study uses a pre- and post-test analysis with data from 1,423 undergraduate students from two emerging countries in Latin America: Colombia and Ecuador. To verify the effect of the EEP on innovativeness, proactiveness and risk-taking at two-time points, the analysis of median for the difference of two paired populations (Sign Test and the Wilcoxon signed-rank test) was used. In addition, structural equation modeling analysis under the covariance and multigroup approach was applied to test the relationship between PI, IEO and EI.

The results of this study show that the EEP enhances innovativeness, proactiveness and risk-taking whose effects are more prominent in Ecuadorian students. Equally importantly, the EEP benefits represented in PI translate into higher EI through the mediating effect of the IEO dimensions for both the Colombian and Ecuadorian contexts, where the findings suggest no significant differences between two groups.

The findings of this study contribute to a better understanding of entrepreneurship education's role in entrepreneurial competence's development and intention by revealing the role of IEO dimensions. This study is one of the first studies that applies the IEO to contribute to the literature on the relationship between entrepreneurship education and intention from an emotional entrepreneurial perspective.

Amid rapid technological progress, the construction industry is embracing Construction 4.0, redefining work practices through emerging technologies. However, the implications of Construction 4.0 technologies to enhancing well-being are still poorly understood. Particularly, the challenge lies in selecting technologies that critically contribute to well-being enhancement. Therefore, this study aims to evaluate the implications of Construction 4.0 technologies to enhancing well-being.

A list of Construction 4.0 technologies was identified from a national strategic plan on Construction 4.0, using Malaysia as a case study. Fourteen construction industry experts were selected to evaluate the implications of Construction 4.0 technologies on well-being using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The expert judgment was measured using linguistic variables that were transformed into fuzzy values. Then, the collected data was analyzed using the following analyses: fuzzy TOPSIS, Pareto, normalization, sensitivity, ranking performance and correlation.

Six Construction 4.0 technologies are critical to enhancing well-being: cloud & real-time collaboration, big data & predictive analytics, Internet of Things, building information modeling, autonomous construction and augmented reality & virtualization. In addition, artificial intelligence and advanced building materials are recommended to be implemented simultaneously as a very strong correlation exists between them.

The novelty of this study lies in a comprehensive understanding of the implications of Construction 4.0 technologies to enhancing well-being. The findings can assist researchers, industry practitioners and policymakers in making well-informed decisions to select Construction 4.0 technologies when targeting the enhancement of the overall well-being of the local construction industry.

This paper aims to determine the impact of perceived virtuality on team dynamics and outcomes by adopting the Input-Mediators-Outcome (IMO) framework. Further, it also investigates the mediating role of team processes and emergent states.

The authors collected survey data from 315 individuals working in virtual teams (VTs) in the information technology sector in India using both offline and online questionnaires. They performed the analysis using Partial Least Squares Structural Equation Modelling (PLS-SEM).

The authors investigated two sets of hypotheses – both direct and indirect (or mediation interactions). Results show that psychological empowerment and conflict management are significant in managing VTs. Also, perceived virtuality impacts team outcomes, i.e. perceived team performance, team satisfaction and subjective well-being.

The interplay between the behavioural team process (conflict management) and the emergent state (psychological empowerment) was examined. The study also helps broaden our understanding of the various psychological variables associated with teamwork in the context of VTs.

Findings from this study will aid in assessing the consequences of virtual teamwork at both individual and organisational levels, such as guiding the design and sustainability of VT arrangements, achieving higher productivity in VTs, and designing effective and interactive solutions in the virtual space.

The study examined the interplay between behavioural team processes (such as conflict management) and emergent states (such as psychological empowerment). The study also theorises and empirically tests the relationships between perceived virtuality and team outcomes (i.e. both affective and effectiveness). It may serve as a guide to understanding team dynamics in VTs better.

This exploratory study attempts to enhance the current understanding of the research and practice of VTs within a developing economy.

This study aims to explore the effect of mental health in terms of depression, anxiety, stress, fear of COVID-19 and quality of life (QoL) on the reluctance to be vaccinated in a population of Palestinian adults living in occupied Palestinian territories and Israel.

The authors recruited 1,122 Palestinian adults who consented to participate in the study; 722 were females, and the mean age of the sample was 40.83 (SD 8.8). Depression, anxiety, and stress scale (DASS), World Health Organization QoL-BREF, FCov-19 and reluctance to the vaccine scale were administered; hierarchical regression analysis was applied to test vaccine reluctance as a dependent variable, and mental health, fear of COVID-19 and QoL as independent variables. This study hypothesized influence of such variables on the vaccine choice with differences due to the participants’ geographical locations.

Findings showed an effect of mental health, particularly depression, QoL and fear of COVID on vaccine reluctance, with depression and fear of COVID in the West Bank and Gaza, while in Israel, QoL played a role in vaccination choices.

The future needs to be comprehended more thoroughly to discover mutations and fluctuations over time in vaccine hesitancy and the increasing role of psychological distress, diminished QoL and fear of Covid-19. Online recruitment might not have allowed the study to include the most disadvantaged strips of the Palestinian population.

Human rights perspectives must be considered in public health and public mental health policies to ensure the QoL and well-being for the Palestinian population during and following the pandemic.

The crumbling of the Palestinian health-care system exacerbated the sense of dread among the population and made them less likely to vaccinate. The pandemic-like spread of Covid-19 prompts a plea for the global community to actively advocate for the urgent re-establishment of equity, autonomy and durability of the medical infrastructure in the occupied territories and equal entitlements for the Palestinians in Israel.

The results demonstrated the importance for public mental health to consider the multiple levels implied in the vaccine refusal in Palestine and Israel among the Palestinian population.

This paper aims to illustrate by means of a case study how HKT-R Spider reference profiles of recidivists and non-recidivists may be supportive in leave decisions.

The authors describe what is known for recidivists and non-recidivists about changes in risk factors during treatment. The HKT-R Spider is introduced. By comparing a case study to group profiles, the authors illustrate how discussions about leave may be rationalised. From a study among 278 patients to explore the profiles, the authors report the inter agreement, and differences between recidivists and non-recidivists of the clinical HKT-R factors. Intra correlation coefficients, Wilcoxon signed ranks test and independent and paired t-tests are applied. To explore which combination of factors are discriminating between both groups, the authors also performed logistic regression analyses at six treatment stages.

The inter agreement reliability and internal consistency of the clinical HKT-R scale were acceptable to good in all six stages studied. The HKT-R Spider and profiles can be used to assist in evidence-informed decision-making about leave.

Globally recidivists had somewhat higher levels of clinical risk factors at all six decision moments, but the interpretation of HKT-R Spiders profiles should always be adapted to the individual’s context.

Applying the HKT-R Spider reference profiles on individual cases may structure and rationalize discussions lead to decisions based on clinical facts.

This study aims to examine the technical efficiency of the chemical-free farming system in India using a hybrid combination of data envelopment analysis (DEA) and machine learning (ML) approaches.

The study used a two-stage approach. In the first stage, the efficiency scores of decision-making units’ efficiency (DMUs) are obtained using an input-oriented DEA model under the assumption of a variable return to scale. Based on these scores, the DMUs are classified into efficient and inefficient categories. The 2nd stage of analysis involves the identification of the most important predictors of efficiency using a random forest model and a generalized logistic regression model.

The results show that by using their resources efficiently, growers can reduce their inputs by 34 percent without affecting the output. Orchard's size, the proportion of land, grower's age, orchard's age and family labor are the most important determinants of efficiency. Besides, growers' main occupation and footfall of intermediaries at the farm gate also demonstrate significant influence on efficiency.

The study used only one output and a limited set of input variables. Incorporating additional variables or dimensions like fertility of the land, climatic conditions, altitude of the land, output quality (size/taste/appearance) and per acre profitability could yield more robust results. Although pineapple is cultivated in all eight northeastern states, the data for the study has been collected from only two states. The production and marketing practices followed by the growers in the remaining six northeastern states and other parts of the country might be different. As the growers do not maintain farm records, their data might suffer from selective retrieval bias.

Given the rising demand for organic food, improving the efficiency of chemical-free growers will be a win-win situation for both growers and consumers. The results will aid policymakers in bringing necessary interventions to make chemical-free farming more remunerative for the growers. The business managers can act as a bridge to connect these remote growers with the market by sharing customer feedback and global best practices.

Although many developments have happened to the DEA technique, the present study used a traditional form of DEA. Therefore, future research should combine ML techniques with more advanced versions like bootstrap and fuzzy DEA. Upcoming research should include more input and output variables to predict the efficiency of the chemical-free farming system. For instance, environmental variables, like climatic conditions, degree of competition, government support and consumers' attitude towards chemical-free food, can be examined along with farm and grower-specific variables. Future studies should also incorporate chemical-free growers from a wider geographic area. Lastly, future studies can also undertake a longitudinal estimation of efficiency and its determinants for the chemical-free farming system.

No prior study has used a hybrid framework to examine the performance of a chemical-free farming system.