Search results

This study aims to reveal the presence of products with negatively correlated nutrients in the marketplace and their implications for consumer choices. It also investigates the role of an overall simplified nutrition scoring system (SNSS) – health star rating (HSR), in improving the healthiness of consumer choices.

Three (lab, online and eye-tracking) experiments investigate the effects of negatively correlated nutrients and the mitigating role of an overall SNSS for consumers’ food choices. A final panel-data study analyzes the changes in actual food purchases after the introduction of HSRs (an SNSS) in Australia.

Experimental results show that consumers use a decision strategy based on a dominant nutrient to choose food products, which creates health halos and leads to less healthy choices when products have negatively correlated nutrients. The presence of an overall SNSS leads to more accurate healthiness perception and healthier choices. Panel data analysis shows that the healthiness of consumer food purchases increased after the introduction of HSRs.

The study investigated the effect of an overall SNSS on specific categories, but not on the overall shopping basket.

For policymakers, this paper shows that overall SNSS helps consumers choose healthier options. Food manufacturers and retailers could be motivated to formulate healthier products when consumers choose healthier options.

This is the first study to document the presence of products with negatively correlated nutrients and their implications for consumer choices. It highlights the unique role of an overall SNSS, in helping consumers identify healthier options when products have negatively correlated nutrients.

This study investigates the correlation between financial inclusion and legal system quality.

Pearson correlation analysis was used to assess the correlation between financial inclusion and legal system quality.

The author finds evidence for a positive correlation between financial inclusion and legal system quality. The findings suggest that improvements in legal system quality go hand in hand with improvements in the level of financial inclusion. More specifically, higher supply of ATM per 100,000 adults is correlated with stronger insolvency resolution framework among G7, European and non-European countries. Also, the number of bank branch per 100,000 adults is positively correlated with strong rule of law and legal rights in non-European countries. Also, the number of ATMs per 100,000 adults is positively correlated with strength of insolvency resolution framework and negatively correlated with the time it takes to resolve insolvency before, during and after the global financial crisis.

No study has explicitly analyzed the correlation between financial inclusion and legal system quality. This present study contributes to the literature by filling this research gap.

This paper aims to investigate the correlation between banking sector non-performing loans (NPLs) and the level of sustainable development.

Pearson correlation test statistic was used to assess the correlation between bank NPLs and sustainable development.

There is a significant positive correlation between banking sector NPLs and the level of sustainable development measured by the sustainable development index (SDI). The significant positive correlation is evident in European countries and in countries in the region of the Americas. There is a significant negative correlation between banking sector NPLs and achieving SDG3 and SDG7 in African countries and European countries. There is also a significant negative correlation between NPLs and achieving SDG10 in European countries. There is a significant positive correlation between banking sector NPLs and achieving SDG4 and SDG7 in the region of the Americas. There is also a significant positive correlation between NPLs and achieving SDG10 in African countries and in countries in the region of the Americas.

The present study is unique and different from other studies because it used a unique SDI to capture the level of sustainable development. The analysis is also unique because it covers several regions, which have not been covered in previous studies.

This paper aims to provide an overview, a classification of existing research groups for correlated default models using a reduced-form method and an identification of future research opportunities in the field.

A systematic literature review is used for the identification, selection, evaluation and synthesis of relevant literature using keywords regarding the reduced-form default models in the Web of Science database. The authors also add articles from cross-referencing and expert recommendations to the literature. HistCite^™ program is used to generate a citation map of the literature.

The results show that reduced-form correlated default risk models are developing towards modelling credit risk with both observable and unobservable variables. The frailty correlated default model at the firm level is still a potential research field.

This is the first paper systematically reviewing the research on reduced-form models of default timing.

The conclusions of studies on the factors correlated with the perceived usefulness of online reviews are inconsistent due to differences in research perspectives, research objects, research methods and data types. This study conducted a meta-analysis to verify a proposed model of perceived usefulness to obtain general conclusions.

A meta-analysis was conducted to study the factors correlated with the perceived usefulness of online reviews based on 51 studies.

The results indicate that, with the exception of negative reviews, the order of relevance for the perceived usefulness of online reviews is as follows: the trust tendency of review readers, review replies, review depth, review pictures, reviewer trustworthiness, positive reviews, reviewer expertise, review time and reviewer information disclosure. Perceived usefulness was significantly positively correlated with purchase intention. Review time, positive reviews and negative reviews were also more significantly correlated with perceived usefulness for search products than for experiential products. Review depth, reviewer trustworthiness, reviewer expertise and purchase intention had greater positive correlations with perceived usefulness for experiential products than for search products.

This study proposes an extended information adoption model based on argument quality and source credibility. The model includes personal factors such as the trust tendency of review readers, constructs a theoretical model of the factors correlated with the perceived usefulness of online reviews and considers the moderating effects of product type.

The purpose of this paper is to analyze the district effectiveness literature. It begins by summarizing the school effectiveness research, the correlates of effective schools, and the conceptual and methodological characteristics of this field. It then describes the findings from a review of 50 studies of district effectiveness, the most frequently identified correlates of effective districts, and the conceptual and methodological features of this research. From there, it compares and contrasts the two fields, paying attention to the ways in which they frame notions of success, purposes of education, the contextualized nature of school performance, and theoretical explanations for student success.

Data sources for this literature review included 50 primary documents on district effectiveness. The studies were bound to those that presented the original results from investigations of the relationship between district‐level policies, routines, behaviors, or other characteristics and classroom‐level outcomes.

Several themes run through the literature on district effectiveness. These include findings that standards‐aligned curricula, coherent organizational structures, strong instructional leadership, frequent monitoring and evaluation, and focused professional learning lead to higher test scores. Most of these investigations are framed from technical perspectives that explore the relationship between organizational regulations and improved test performance. Less common are inquiries about the socio‐political and normative forces that shape districts’ improvement experiences. One consequence of this technical focus is that the field of district effectiveness has come to share several of the conceptual and methodological properties that characterized the former school‐level research.

The article concludes by discussing the implications for the growing volume of district‐level research on educational leadership, district improvement, and educational equity.

This article details the ways in which a sharp focus on questions of what works in the district effectiveness literature has deepened researchers’ and practitioners’ knowledge of the specific mechanisms that may produce more desirable results in test performance, yet these questions alone, decoupled from corresponding inquiries about the complex, highly contextualized character of higher or lower scoring districts, leave researchers and practitioners vulnerable to the same scholarly and practical pitfalls of their predecessors.

The purpose of this paper is to examine the relationships between both job insecurity and fairness and employees' attitudes (job satisfaction, organisational commitment and turnover intention). Moreover, of even greater interest, it aims to test whether fairness mitigates the negative correlates associated with job insecurity.

The aproach takes the form of a cross‐sectional study based on self‐reported data. The sample was composed of 697 employees from a Spanish public organisation.

The findings showed that job insecurity is detrimental to employees' attitudes, whereas fairness is beneficial. Moreover, the results showed the negative correlates of job insecurity to be less strong in the presence of fairness.

First, this is a cross‐sectional study, and therefore no causal relationships can be assumed. Second, the study is based on self‐reported data, which could lead to common variance source and method problems.

Job insecurity is a widespread concern in contemporary societies. Thus, research on how to palliate its negative correlates is valued. This study suggests fairness judgements might buffer the negative correlates associated with job insecurity.

Previous research has shown job insecurity to be detrimental to both individuals and organisations (e.g. job satisfaction, organisational commitment and turnover intention). Nonetheless, differences observed across studies in the strength of these relationships suggest the presence of moderating factors. The study provides evidence on the moderating role of fairness judgements.

Actual costs frequently deviate from the estimated costs in either favorable or adverse direction in construction projects. Conventional cost evaluation methods do not take the uncertainty and correlation effects into account. In this regard, a simulation-based cost risk analysis model, the Correlated Cost Risk Analysis Model, previously has been proposed to evaluate the uncertainty effect on construction costs in case of correlated costs and correlated risk-factors. The purpose of this paper is to introduce the detailed evaluation of the Cost Risk Analysis Model through scenario and sensitivity analyses.

The evaluation process consists of three scenarios with three sensitivity analyses in each and 28 simulations in total. During applications, the model’s important parameter called the mean proportion coefficient is modified and the user-dependent variables like the risk-factor influence degrees are changed to observe the response of the model to these modifications and to examine the indirect, two-sided and qualitative correlation capturing algorithm of the model. Monte Carlo Simulation is also applied on the same data to compare the results.

The findings have shown that the Correlated Cost Risk Analysis Model is capable of capturing the correlation between the costs and between the risk-factors, and operates in accordance with the theoretical expectancies.

Correlated Cost Risk Analysis Model can be preferred as a reliable and practical method by the professionals of the construction sector thanks to its detailed evaluation introduced in this paper.

The main purpose of this paper is to construct a poverty profile for Sri Lanka, and examine the micro‐level determinants and correlates of poverty.

The study is based on the latest Sri Lanka Integrated Survey commissioned by the World Bank. The unconditional poverty profile was constructed using three different poverty measures (poverty headcount, average poverty gap and squared poverty gap), nested in the Foster‐Greer‐Thorbecke index. The conditional poverty profile was constructed on the basis of a multivariate analysis of poverty correlates. Partial correlates of poverty are computed using two comparable methodologies. First, a logistic regression was estimated, with the probability of a household being in poverty as the dependent variable and a set of economic and demographic variables as correlates. Second, the quantile regression approach was utilized to examine the correlates of per capita consumption at different points on the distribution.

The empirical findings are broadly encouraging. The estimation results show that the education of the household head, being salary employed and being engaged in business have a significant positive effect on the standard of living. The probability of being poor increases with the household size, household head being female, living in a rural area, and being a casual wage earner. These findings indicate the importance of a set of policies which are super pro‐poor, namely increasing school enrolment and achievement, effective family planning programs to reduce the birth rate and dependency load within households, and granting priorities for specific cohorts (children‐, elderly‐, rural‐ and female‐headed households) in targeted interventions.

This is the first study that examines the probable determinants and correlates of Sri Lankan poverty in a multivariate framework employing both logit and quantile regressions.

This study sought to examine the relation of cultural practices and values with favoritism and nepotism/cronyism. Additionally, this study's purpose was also to examine how trust mediates the relation between culture and favoritism.

Correlations were used for exploratory investigation into the bivariate relations between culture and favoritism and nepotism/cronyism across 97 cultures. Hierarchical linear regression analyses were then conducted to examine the cultural correlates of favoritism and nepotism/cronyism holding all other variables constant. Lastly, partial least squares structural equation modeling was used to examine the mediating role of societal levels of trust.

Bivariate correlations showed that collectivism, familism, uncertainty avoidance, and power distance are positive correlates of both favoritism and nepotism/cronyism. Institutional collectivism, future orientation and trust, on the other hand, were negative correlates of favoritism and nepotism/cronyism. Uncertainty avoidance and trust were key correlates of favoritism while familism and future orientation were key correlates of nepotism/cronyism. Trust fully mediated the relation between culture and favoritism but did not mediate the relation between culture and nepotism/cronyism.

This study adds to the current body of literature on culture and favoritism. Notably, the findings regarding different key cultural correlates with respect to favoritism and nepotism/cronyism provide valuable implications for expanding our understanding of the psychological and social nuances of favoritism. Specifically, favoritism in transactions and interactions with those not bound by social commitment relationships may be explained by beliefs while interactions with those with social relationships (e.g., family and friends) may be explained by preferences.