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This paper aims to extend the scope of previous studies on education-occupation mismatch to explicitly focus on the role high school track choices have on the risk of being mismatched in the labor market.

The paper uses the most exhaustive available database regarding the early-career paths of university graduates in Romania. Using a novel matching technique, entropy balancing (EB), our study relies on multinomial logit models and logit regressions to estimate the effect of the completed high school track on the likelihood of being mismatched in the labor market. The empirical analysis focuses on two types of education-occupation mismatches: horizontal and vertical mismatches.

We show that studying a different field in college compared to the completed high school track increases the risk of being skill mismatched in the first job after graduation. Five years after college graduation, the influence of the high school track fades, while being skill mismatched in the first employment plays a more important role. In contrast, we find no evidence that pursuing a college major unrelated to the completed high school track increases the probability of being overeducated. However, being overeducated in the first job increases the risk of being overeducated five years later.

The study brings new reliable evidence on the extent to which high school track choices may contribute to the risk of being mismatched in the labor market.

In Brazil, over 4.7 million women enrolled in university in the year 2017. However, Brazilian women have been consistently overrepresented in humanities and care majors and underrepresented in science, technology, engineering and mathematics (STEM). Given that observed gender differences in math-intensive fields have lasting effects on gender inequality in the labor market, and that observed gender variations do not necessarily associate with differences in innate ability, in this paper we explore the paths of societal gender bias and gender differences in a Brazilian university.

We conduct a social experiment at a University in Southeastern Brazil, applying the gender-STEM Implicit Association Test.

We found that women in STEM are less likely to show gender-STEM implicit stereotypes, compared to women in humanities. The results indicate a negative correlation between implicit gender stereotyping and the choice of math-intensive majors by women.

The stereotype-congruent results are indicative of the gender bias in Brazilian society, and suggest that stereotypes created at early stages in life are directly related to future outcomes that reinforce gender disparities in Brazil, which can be observed in career choices.

This study aims to investigate the impact of Holland’s theory of career choice (RIASEC [realistic, investigative, artistic, social, enterprising and conventional]) on the entrepreneurial event model (EEM) and the agropreneurial intention among university students.

This study is quantitative research, and 772 undergraduate students from public and private universities in Malaysia participated. The data were then analysed using SmartPLS 4.

The statistical analysis revealed that the realistic, artistic, enterprising and conventional in Holland’s theory of career choice (RIASEC) are antecedents of perceived desirability and feasibility, which has an indirect effect on agropreneurial intention. Additionally, all dimensions of EEM have a direct effect on agropreneurial intention.

Despite the importance of agriculture in providing food security and reducing poverty, especially in rural areas, there is very limited empirical research in this area. Notably, most of the research on the intention to become an entrepreneur is general entrepreneurship. This study, therefore, undertakes an interventionist role to investigate the factors influencing agropreneurial intention among youth.

This paper aims to assess gender bias in Italian university student mobility controlling for the field of study. It uses data from the Italian National Student Archive (Anagrafe Nazionale degli Studenti – ANS) for the cohort of freshmen enrolled in the 2017 academic year. The macro-regional comparison unfolds across the following areas: North and Centre, Southern Italy and main Islands (Sicily and Sardinia).

The analysis is firstly carried out at the national level, and secondly, it focusses on macro-geographical areas. University mobility choices are thus investigated from a gender perspective, conditioning upon other theoretically relevant characteristics collected for the prospective first-year university student population enrolled in 2017. The authors analyse data in a regression setting (logit models) within the multilevel framework, which considers students at level 1 and the field of study at level 2. Gender differences in the propensity to be a mover – conditional upon the choice of the field of study – were captured by introducing random intercepts to account for clustering of students in fields of study and random slopes to allow the gender effect to differ among them.

Findings show that university student mobility in Italy leads evidence of gender bias. This has been detected using a multilevel random slope approach that allowed the authors to jointly estimate a slope parameter for gender within each field of study. Moreover, using a regression setting allowed the authors to control for heterogeneity in geographical, educational and socio-demographic characteristics across students. In line with previous empirical findings, the authors' data highlight the presence of a relevant mobility flow of university students from the South toward the North-Centre of Italy and lower mobility of female students compared to male students from the South and Islands.

To the best of the authors' knowledge, there are no studies in Italy, which investigate if families' investment in higher education in terms of selection of no-local universities are affected by gender bias and if geographical differences in this behaviour between macro-areas are in place. Thus, investigating students' choices in tertiary education allows the authors to shed light on the presence of gender bias in families' education strategies addressed to increase the endowment of students' assets for future job opportunities.

The authors' work aims to identify the employer-specific drivers of the college (or university) wage gap, which has been identified as one of the major determinants of the dynamics of overall wage and income inequality in the past decades. The authors focus on three employer-level features that can be associated with asymmetries in the employment relation orientation adopted for college and non-college-educated employees: (1) size, (2) the share of standard employment and (3) the pervasiveness of incentive pay schemes.

The authors' establishment-level analysis (data from the Basic Survey on Wage Structure (BSWS), 2005–2018) focusses on Japan, an economy characterised by many unique economic and institutional features relevant to the aims of the authors' analysis. The authors use an adjusted measure of firm-specific college wage premium, which is not biased by confounding individual and establishment-level factors and reflects unobservable characteristics of employees that determine the payment of a premium. The authors' empirical methods account for the complexity of the relationships they investigate, and the authors test their baseline outcomes with econometric approaches (propensity score methods) able to address crucial identification issues related to endogeneity and reverse causality.

The authors' findings indicate that larger establishment size, a larger share of regular workers and more pervasive implementation of IPSs for college workers tend to increase the college wage gap once all observable workers, job and establishment characteristics are controlled for. This evidence corroborates the authors' hypotheses that a larger establishment size, a higher share of regular workers and a more developed set-up of performance pay schemes for college workers are associated with a better capacity of employers to attract and keep highly educated employees with unobservable characteristics that justify a wage premium above average market levels. The authors provide empirical evidence on how three relevant establishment-level characteristics shape the heterogeneity of the (adjusted) college wage observed across organisations.

The authors' contribution to the existing knowledge is threefold. First, the authors combine the economics and management/organisation literature to develop new insights that underpin the authors' testable empirical hypotheses. This enables the authors to shed light on employer-level drivers of wage differentials (size, workforce composition, implementation of performance-pay schemes) related to many structural, institutional and strategic dimensions. The second contribution lies in the authors' measure of the “adjusted” college wage gap, which is calculated on the component of individual wages that differs between observationally identical workers in the same establishment. As such, the metric captures unobservable workers' characteristics that can generate a wage premium/penalty. Third, the authors provide empirical evidence on how three relevant establishment-level characteristics shape the heterogeneity of the (adjusted) college wage observed across organisations.

The purpose of this article is to debut a novel initiative that could potentially optimize resources that are currently constrained but, if unleashed, could help ameliorate the science, technology, engineering and mathematics teacher shortage. The initiative involves the reconceptualization of the National Network for Educational Renewal (NNER) tripartite model, which evolved from the work of Goodlad (1994a) and promotes cooperation and partnerships between the three important players responsible for preparing succeeding generations of competent teachers: PK-12 schools, university colleges of education and university colleges of arts and sciences (Roselle, Hands, Marino, Kilgallen, & Howard, 2021; Goodlad, 1994a).

The approach used in writing the article was narrative, offering a brief review of the various challenges that have had an impact on the national teacher shortage, particularly in the field of mathematics.

The study suggests that a reconceptualized NNER tripartite model can be implemented to assuage the devastating effects of the coronavirus disease 2019 pandemic on learning, offer support to an overworked teacher workforce and provide a possible math teacher recruitment pipeline by forming a life-giving partnership between a college of education, a college of arts and sciences, a local elementary school and undergraduate math club members.

This is an original application of the NNER tripartite model, particularly with math teacher recruitment in mind, and it is hoped that the model will be considered transferable to a variety of school-university contexts. However, additional study is required to explore the validity and replicability of this model.

This study aims to conduct a bibliometric analysis on “intertemporal choice” behavior of individuals from journals in the Scopus database between 1957 and 2023. The research covered the data on the said topic since it first originated in the Scopus database and carried out performance analysis and content analysis of papers in the business management and finance disciplines.

Bibliometric analysis, including science mapping and performance analysis, followed by content analysis of the papers of identified clusters, was conducted. Three clusters based on cocitation analysis and six themes (three major and three minor) were identified using the bibliometrix package in R studio. The content analysis of the papers in these clusters and themes have been discussed in this study, along with the thematic evolution of intertemporal choice research over the period of time, paving a way for future research studies.

The review unpacks publication and citation trends of intertemporal choice behavior, the most significant authors, journals and papers along with the major clusters and themes of research based on cocitation and degree of centrality and relevance, respectively, i.e. discounting experiments and intertemporal choice, impulsivity, risk preference, time-inconsistent preference, etc.

Over the past years, the research on “intertemporal choice” has flourished because of the increasing interest of researchers and scholars from different fields and the dynamic and pervasive nature of this topic. The well-developed and scattered body of knowledge on intertemporal choice has led to the need of applying a bibliometric analysis in the intertemporal choice literature.

For many years, universities have been confronted with the rise of a managerial logic, in line with the new public management movement. They have been encouraged to implement new accounting tools such as cost calculations. Literature shows mixed results regarding the institutionalization of such tools, and the logic they try to support. In most studies, the agency of actors is examined to explain the institutionalization of accounting tools and only few studies consider the specific characteristics of these accounting tools to understand this process. To enrich the literature on institutionalization, this article examines how the affordances of costing tools affect the institutionalization of these tools and the institutionalization of new logics in pluralistic organizations such as universities.

The data were collected at a French university which is considered as an example of successful institutionalization of the tool and is cited as a model to follow. The data include a four-month participant observation and 18 interviews. Access to internal and external documents was also available. The analysis of the data is based on a framework proposed by Jarzabkowski and Kaplan (2015), which draws on the concept of affordance of tools, to investigate how the possibilities and constraints of costing tools shape the selection, application and outcomes of cost calculations.

The results show that the affordances of cost calculations facilitate the institutionalization of a new logic and its coexistence with previous logics. Technical affordances are mobilized by actors aiming to bring in a new logic without directly confronting the old ones. Role affordances also play a major role in the institutionalization by facilitating the adhesion of the actors through multiple applications of the tool. Finally, value-based affordances reinforce the institutionalization of a managerial logic by emphasizing the values shared with the other logics and thus facilitating the coexistence of the three logics at stake in the university.

This research provides three main contributions. First, it contributes to the literature on the institutionalization of accounting tools. It shows the relevance of the concept of affordance (Leonardi and Vaast, 2017) to unpack the characteristics of accounting tools (including the constraints and the possibilities they offer) and to achieve a better understanding of the institutionalization of accounting tools. Second, this paper contributes to the literature dealing with the role of accounting tools in the institutionalization of logics. The results suggest that the institutionalization of tools and the institutionalization of logics are two different phenomena that move at different speeds. However, these phenomena interact: the institutionalization of accounting tools can facilitate the coexistence of different logics in pluralistic organizations. Third, this paper contributes to the literature on affordances. The data reveal several types of affordances for accounting tools: technical affordances that refer to the technical possibilities to shape and tweak the tool; role affordances that refer to the various roles and purposes that the tool can fulfill and value-based affordances that refer to the plasticity of the values and beliefs that the tool can convey. The study shows that each type of affordance is prevalent at a different time of the process of institutionalization and that the combination of these affordances contributes to the institutionalization of the tool and of new logics.

This study examines the relationship between economic policy uncertainty (EPU) and managers' ex ante strategic choice on firms’ fixed and variable costs structure, i.e. cost rigidity and the moderating effect of government contracts and political connections.

Using a sample of 4,162 US firms during 2003–2019 and EPU measure from Baker et al. (2016), the authors examine the association between EPU and cost rigidity using multivariate regression analysis. The authors also examine the moderating effects of government customers and political connections using the subsampling method.

This study finds that increases in EPU leads to higher cost rigidity, suggesting that managers tend to look ahead and make an ex ante commitment to invest more in fixed costs to avoid congestion costs in anticipation of future product demand during EPU. The study also finds that the presence of government customers and political connections moderates the need for adopting greater cost rigidity.

This study measures firms' cost rigidity based on archival data. Future studies could utilize managers' cost structure choices using firms' internal management cost structure forecasts data to measure cost rigidity to examine the relationship between cost rigidity and EPU.

This study demonstrates that managers tend to make a proactive commitment to invest in fixed inputs when facing demand uncertainty from EPU to avoid congestion costs. This study also highlights the value of having government contracts and political connections by demonstrating that managers are less concerned about the congestion costs, hence weakening the impact of EPU on cost rigidity when they have government as major customers and/or political connections.

This study extends the management accounting literature by documenting that cost rigidity is related to EPU and that the relationship between cost rigidity and EPU also depends on whether the firm has government as major customers and/or political connections or not.

Circumstances such as pandemics can cause individuals to fall into a state of need, so they turn to donation services for assistance. However, donation services can be designed based on supply-side considerations, e.g. efficiency or inventory control, which restrict consumer choice without necessarily considering how consumer vulnerabilities like low financial or interpersonal power might cause them to react to such restrictions. Thus, the purpose of this paper is to examine service designs that limit the choices consumers are given in terms of either the allowable quantity or assortment variety and examine effects on consumer perceptions of justice and satisfaction.

Three experiments are reported, including one manipulating the service design of an actual food pantry.

When consumers have low financial or interpersonal power, meaning their initial state of control is low, and they encounter a donation service that provides limited (vs. expanded) choice that drops control even lower, they perceive the situation as unjust and report lower satisfaction.

Donation service providers should strive to design services that allow for expanded consumer choice and use interpersonal processes that empower beneficiaries so they perceive the service experience as just and satisfying. Collecting feedback from beneficiaries is also recommended.

While researchers have started to look at the service experiences of vulnerable populations, they have focused primarily on financial service designs. The authors look at donation service designs and identify problems with supply-side limits to choice quantity and assortment.