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The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.

This study aims to identify the enablers of supply chain resilience (SCR) through a literature review and expert panel input in the context of Pakistan and the post-pandemic era. This study also aims to categorize and rank the identified enablers using expert panel input.

A review of the extant literature was conducted to investigate and identify the factors that contribute to SCR. The relative ranking of the enablers was carried out by a group of industry and academic experts. The expert panel was convened to compare the main categories and each enabler in pairs and to score the enablers using triangular fuzzy numbers.

This study identified 16 critical SCR enablers. Using the fuzzy analytic hierarchy process (AHP), these enablers were divided into three groups and analyzed. The results show that financial enablers, technology enablers and then social enablers are prioritized when it comes to SCR in emerging markets. The robustness of the ranking of enablers is tested through sensitivity analysis.

The results shall be helpful for policymakers and managers to understand the important enablers and also help allocate resources to important enablers. Managers will be able to formulate strategies to achieve SCR in an uncertain environment.

This is one of the first attempts to identify and rank the enablers of SCR in an emerging economy context.

The purpose of this paper is to provide a snapshot of secondary school food policy (SSFP) across the devolved nations (England, Scotland, Wales and Northern Ireland) to offer insights into a growing area of policy concern. The selected context of research is school food policy (SFP), an area of research which has received little attention in terms of policy approaches. The review is focused on 2010 to 2022.

This work combines interdisciplinary perspectives spanning across food policy, public health, psychology, education and sociology. This combination has merit as it offers different perspectives in terms of understanding SFP. The study was conducted between August 2021 and March 2022, using a desk-based review, analysing policies on food in secondary schools. Data collection was conducted through the Web using key search terms. The READ (Read, Extract, Analyse, Distil) approach was used as a systematic procedure to analyse policy and evaluation documents.

To all levels of government, it is recommended that a coherent policymaking approach be used to tackle SSFP improvements, to progress a whole school approach to food, supported by long-term dedicated resources while engaging children in SSFP development. For education departments, it is recommended that a food curriculum review, connected to school meals alongside a refocus on school food standards monitoring and reporting is crucial in serving the future generations. The current economic crisis has had an impact on public spending. Universal Free School Meals has been said to make an enormous difference to well-being.

The current findings suggest that researching SFP across nations has merit. There is a relative lack of focus on secondary schools, in light of England’s focus on the National Food Strategy (focus on children), post-pandemic, economic crisis – together this makes school food and food policy a topic of real urgency and importance. Lessons can both be learned, particularly in promoting healthier and more educationally inclusive school food practices. Research in this area can inform curriculum design and school food environment and system changes from the perspective of learnings around taking a whole school food approach to education.

The onset of the COVID-19 pandemic certainly exacerbated the teacher shortage in the United States for all racial/ethnic groups, but especially for Black teachers. Black teachers account for 7–8% of the total teacher population and this percentage is the direct result of decades of systemic and structural barriers set against Black teachers in the form of racism. Still, Black teachers who enter the profession do so with the willingness to support all students and uplift Black students who often go years without seeing a teacher that looks like them. Black teachers often face different expectations than their white counterparts and these expectations, without the proper support, lead to Black teachers burning out at higher rates. In an effort to understand Black teachers' and the experiences that contribute them remaining in the classroom, the researchers explored Black teachers' working conditions through a phenomenological approach. The findings of this study suggest that Black teachers deserve working conditions that nurture who they are culturally and professionally, that reject actions of oppression toward them – both implicitly and explicitly, and offer spaces for Black teachers to be authentically heard.

A semiparametric stochastic frontier model is proposed for panel data, incorporating several flexible features. First, a constant elasticity of substitution (CES) production frontier is considered without log-transformation to prevent induced non-negligible estimation bias. Second, the model flexibility is improved via semiparameterization, where the technology is an unknown function of a set of environment variables. The technology function accounts for latent heterogeneity across individual units, which can be freely correlated with inputs, environment variables, and/or inefficiency determinants. Furthermore, the technology function incorporates a single-index structure to circumvent the curse of dimensionality. Third, distributional assumptions are eschewed on both stochastic noise and inefficiency for model identification. Instead, only the conditional mean of the inefficiency is assumed, which depends on related determinants with a wide range of choice, via a positive parametric function. As a result, technical efficiency is constructed without relying on an assumed distribution on composite error. The model provides flexible structures on both the production frontier and inefficiency, thereby alleviating the risk of model misspecification in production and efficiency analysis. The estimator involves a series based nonlinear least squares estimation for the unknown parameters and a kernel based local estimation for the technology function. Promising finite-sample performance is demonstrated through simulations, and the model is applied to investigate productive efficiency among OECD countries from 1970–2019.

The study aims to examine the moderating influence of perceived co-worker support in the nexus between compulsory citizenship behaviour, job involvement and social loafing amongst university interns.

Four hundred and sixty-two) respondents took part in the study by completing a self-reported questionnaire distributed via online WhatsApp platform. The respondents were selected using multistage sampling technique. The data were processed and analysed using IBM SPSS version 24 and PLS-SEM, respectively.

Results reveal interns’ experience of compulsory citizenship behaviour positively influences their social loafing and negatively influences their job involvement. Furthermore, the support received from co-workers’ reduces the negative influence of compulsory citizenship behaviour on interns’ (1) social loafing and (2) job involvement.

The study’s main limitations have been identified as the type of organisation in which the internship was completed and the number of years of internship experience. Future research may seek to address this problem by obtaining data from a cohort that is categorised based on the nature of the organisation and duration of the internship.

Perceived co-worker support has been found to reduce the negative effects of interns’ compulsory citizenship behaviour on their job outcomes. It is recommended that organisations establish a supportive work environment to assist interns. This can be achieved through various means, such as engaging in team-building activities and assigning mentors, among other strategies.

One of the first to have examined a model linking compulsory citizenship behaviour, job involvement, social loafing and perceived co-worker support amongst interns in a higher education environment.

First-generation college students in the United States are a unique demographic that is often characterized by the institutions that serve them with a risk-laden and deficit-based model. However, our analysis of the transcripts of open-ended, semi-structured interviews with 22 “first-gen” respondents suggests they are actively deft, agentic, self-determining parties to processes of identity construction that are both externally imposed and potentially stigmatizing, as well as exemplars of survivance and determination. We deploy a grounded theory approach to an open-coding process, modeled after the extended case method, while viewing our data through a novel synthesis of the dual theoretical lenses of structural and radical/structural symbolic interactionism and intersectional/standpoint feminist traditions, in order to reveal the complex, unfolding, active strategies students used to make sense of their obstacles, successes, co-created identities, and distinctive institutional encounters. We find that contrary to the dictates of prevailing paradigms, identity-building among first-gens is an incremental and bidirectional process through which students actively perceive and engage existing power structures to persist and even thrive amid incredibly trying, challenging, distressing, and even traumatic circumstances. Our findings suggest that successful institutional interventional strategies designed to serve this functionally unique student population (and particularly those tailored to the COVID-moment) would do well to listen deeply to their voices, consider the secondary consequences of “protectionary” policies as potentially more harmful than helpful, and fundamentally, to reexamine the presumption that such students present just institutional risk and vulnerability, but also present a valuable addition to university environments, due to the unique perspective and broader scale of vision their experiences afford them.

This paper undertakes a structured literature review to analyse the literature on performance management and measurement (PMM) in universities over the last four decades. Over that time, PMM has emerged as an influential force in universities that impacts their operations and redefines their identity.

A structured literature review approach was used to analyse a sample of articles on PMM research from a broad range of disciplines over four decades. This was undertaken to understand the impacts of PMM practices on universities, highlight changes over time and point to avenues for future research.

The analysis highlights the fact that research on PMM in universities has grown significantly over the 40 years studied. We provide an overview of published articles over four decades regarding content, themes, theories, methods and impacts. We provide an empirical basis for discussing past, present and future university PMM research. The future research avenues offer multiple provocations for scholars and policymakers, for instance, PMM implementation strategies and relationships with various government programs and external evaluation and the role of different actors, particularly academics, in shaping PMM systems.

Unlike a traditional literature review, the structured literature review method can develop insights into how the field has changed over time and highlight possible future research. The sample for this literature review differs from previous reviews in covering a broad range of disciplines, including accounting.

Homelessness has many causes and also is stigmatized in the United States, leading to much misunderstanding of its causes and what policy solutions may ameliorate the problem. The problem is of course getting worse and impacting many communities far removed from the West Coast cities the authors examine in this study. This analysis examines the socioeconomic variables influencing homelessness on the West Coast in recent years. The authors utilize a panel fixed effects model that explicitly includes measures of healthcare access and availability to account for the additional health risks faced by individuals who lack shelter. The authors estimate a spatial error model (SEM) in order to better understand the impacts that systemic shocks, such as the COVID-19 pandemic, have on a variety of factors that directly influence productivity and other measures of welfare such as income inequality, housing supply, healthcare investment, and homelessness.