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Child malnutrition is a grave concern for Pakistan, as the country has one of the highest incidences of child stunting in the developing world. The present study examines the relative significance of parents' education on a child's nutritional status in Pakistan.

For analysis, the study has used data from Phase 7 of the Pakistan Demographic and Health Survey (PDHS) (2017–2018). Since the dependent variable ranges from 0 to 1 (1 indicates not a stunted child, while 0 represents a stunted child), binary logistic regressions are used for the analysis.

The results show that mothers' and fathers' education positively contributes to a child's nutrition. However, mothers' education is considered more significant, especially in the long run. The mother's education categories are positive and significant in the long run, while only their higher education is positive and significant for the father's. Moreover, the magnitude of the effect also shows that the probability of stunting is less if the mothers are educated. The long-run coefficient for mothers' higher education is 0.752, while that of fathers' higher education is only 0.232.

The present study compares the importance of mothers' and fathers' education in child nutrition and concludes that the role of the mother is more crucial for child upbringing. There are rarely any studies that focus on the role of fathers' education in child nutrition and compare whose role, mothers' or fathers,' is more important for child well-being.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0483

This study aims to understand client food preferences and how pantry offerings can be optimized by those preferences.

This study develops and administers customized surveys to study three food pantries within the Second Harvest Food Bank of Northwestern North Carolina network. This study then categorizes food items by client preferences, identifies the key predictors of those preferences and obtains preference scores by fitting the data to a predictive model. The preference scores are subsequently used in an optimization model that suggests an ideal mix of food items to stock based upon client preferences and the item and weight limits imposed by the pantry.

This study found that food pantry clients prefer fresh and frozen foods over shelf-friendly options and that gender, age and religion were the primary predictors. The optimization model incorporates these preferences, yielding an optimal stocking strategy for the pantry.

This research is based on a specific food bank network, and therefore, the client preferences may not be generalizable to other food banks. However, the framework and corresponding optimization model is generalizable to other food aid supply chains.

This study provides insights for food pantry managers to make informed decisions about stocking the pantry shelves based on the client’s preferences.

An emerging topic within the humanitarian food aid community is better matching of food availability with food that is desired in a way that minimizes food waste. This is achieved by providing more choice to food pantry users. This work shows how pantries can incorporate client preferences in inventory stocking decisions.

This study contributes to the literature on food pantry operations by providing a novel decision support system for pantry managers to aid in stocking their shelves according to client preferences.

Recommendation systems are a fundamental tool for hotels to adopt a differentiating competitive strategy. The main purpose of this work is to use machine learning techniques to treat imbalanced data sets, not applied until now in the tourism field. These techniques have allowed the authors to analyse the influence of imbalance data on hotel recommendation models and how this phenomenon affects client dissatisfaction.

An opinion survey was conducted among hotel customers of different categories in 120 different countries. A total of 135.102 surveys were collected over eleven quarters. A longitudinal design was conducted during this period. A binary logistic model was applied using the function generalized lineal model (GLM).

Through the analysis of a representative amount of data, the authors empirically demonstrate that the imbalance phenomenon is systematically present in hotel recommendation surveys. In addition, the authors show that the imbalance exists independently of the period in which the survey is done, which means that it is intrinsic to recommendation surveys on this topic. The authors demonstrate the improvement of recommendation systems highlighting the presence of imbalance data and consequences for marketing strategies.

The main contribution of the current work is to apply to the tourism sector the framework for imbalanced data, typically used in the machine learning, improving predictive models.

The purpose of this study is to investigate the determinants of behavioral intention to use smartphone diet applications within the emerging market. Specifically, it focuses on the Privacy Calculus Model constructs, encompassing perceived risk and perceived benefit, as well as the pivotal elements of trust and self-efficacy. It also explores the moderating influence of experience on the influencing factors and intention to use a diet application.

In a survey with 572 respondents, data analysis was conducted using partial least squares (PLS) structural equation modeling.

The findings reveal that perceived risk exerts a significant negative influence on behavioral intention. Conversely, perceived benefit, trust and self-efficacy exhibit a positive impact on behavioral intention. Moreover, the study delves into the moderating role of users' experience, which is found to significantly influence these relationships, suggesting that user experience plays a pivotal role in shaping the adoption dynamics of diet applications.

The limitations of this study may include the sample size and the specific focus on the emerging market of Saudi Arabia. The implications of the findings are relevant for scholars, developers, marketers, and policymakers seeking to promote the use of smartphone diet applications.

This study adds value by exploring the determinants of behavioral intention in the context of smartphone diet applications, and it is a first attempt to test the moderating role of users' experiences, providing valuable insights for various stakeholders in the field.

This research addresses the professional logics of street-level managers (SLMs) and bureaucrats (SLBs) working in the Brazilian National Social Security Agency (INSS) through their perceptions of distributive justice and discretion. Since SLMs have the authority to influence SLBs' actions, we investigate whether these two groups hold similar viewpoints.

We integrate the administrative data and survey responses (n = 678) with earlier thematic content analysis (n = 350) in three stages: mean-testing, regression analyses and complementary qualitative analysis, integrated through a mixed-methods matrix.

Whilst no significant differences emerge in distributive justice ideas between groups, SLMs demand wider benefit-granting discretion, praising professionalism whilst adopting managerial posture and jargon.

The study adds to the theoretical discussions concerning SLM’s influence on SLB’s decision-making, suggesting that other factors outweigh it. The finding concerning the managers’ demand for wider discretion asks for further in-depth approaches.

Findings supply valuable insights for policymakers and managers steering administrative reforms, by questioning whether some roles SLMs play are limited to symbolic levels. Further, SLBs’ heterogenous formations might be more relevant to policy divergence than managerial influence and perhaps an underutilised source of innovation.

By approaching street-level management professional logics within a Global South welfare state through a mixed-methods approach, this study offers a holistic understanding of complex dynamics, providing novel insights for public sector management.

Consumer culture is promoting immediate gratification, and the rise of digital financial services is increasing the risk of indebtedness while debt reduces well-being and affects mental health. The authors assess the effects of consumer information provision, debt literacy, chronic debt and attitudes toward debt on the intent to purchase on credit.

An online survey including an experiment with a credit offer vignette was conducted in a representative sample of Estonia (n = 1204). Treatment conditions depicted either the total cost and duration of the credit agreement or the annual percentage rate.

Receiving modified information resulted in a 26 to 30 percentage points decrease in propensity to purchase on credit. Purchasing on credit was associated with attitudes towards credit and chronic debt, but not with debt literacy.

The findings reveal large effects of information provision and highlight the limited effects of debt literacy on credit decisions. Limitations may emerge from differences in financial regulation across countries.

The authors' results highlight the importance of applying behavioural insights in consumer credit information provision, both in the financial sector and policy. Testing the messages allows having evidence-based solutions that promote responsible purchasing on credit.

The findings call for changes in credit information provision requirements. Their effect is significantly larger compared to the literature, emphasizing the role of credit information provision in less regulated online markets.

Allocation of the marketing budget has become increasingly challenging due to the diverse channel exposure to customers. This study aims to enhance global marketing knowledge by introducing an ensemble attribution model to optimize marketing budget allocation for online marketing channels. As empirical research, this study demonstrates the supremacy of the ensemble model over standalone models.

The transactional data set for car insurance from an Indian insurance aggregator is used in this empirical study. The data set contains information from more than three million platform visitors. A robust ensemble model is created by combining results from two probabilistic models, namely, the Markov chain model and the Shapley value. These results are compared and validated with heuristic models. Also, the performances of online marketing channels and attribution models are evaluated based on the devices used (i.e. desktop vs mobile).

Channel importance charts for desktop and mobile devices are analyzed to understand the top contributing online marketing channels. Customer relationship management-emailers and Google cost per click a paid advertising is identified as the top two marketing channels for desktop and mobile channels. The research reveals that ensemble model accuracy is better than the standalone model, that is, the Markov chain model and the Shapley value.

To the best of the authors’ knowledge, the current research is the first of its kind to introduce ensemble modeling for solving attribution problems in online marketing. A comparison with heuristic models using different devices (desktop and mobile) offers insights into the results with heuristic models.

Drawing on the resource-based view (RBV), this paper aims to analyse the relevance of Industry 4.0 (I4.0) technologies and participation in global value chains (GVC) and the effects of the complementarity between both in the adoption of circular economy (CE) actions by small and medium-sized enterprises (SME).

This paper analysed a large-scale international sample by employing logistic and linear regression models to test the research hypotheses on the effects of I4.0 technologies, GVC participation, and the interaction on CE actions (recycling or reusing materials, reducing the consumption and impact of natural resources, saving energy and/or switching to sustainable energy sources, developing sustainable products or services).

The evidence suggests that I4.0 technologies already represent important resources for CE adoption and SME participating in GVC display a greater likelihood of adopting CE actions. From the perspective of resource complementarity, by interacting the two factors viewed as resources in this article, results may report that adopting I4.0 technologies and simultaneously participating in GVC may turn out detrimental to SME undertaking CE actions, specifically as regards recycling and reusing materials, saving energy or switching to sustainable energy sources and in cases of widely adopting CE practices.

The paper returns novel insights into the adoption of CE practices by presenting evidence that I4.0 technologies and participation in GVC may be successful means for SME seeking to implement CE actions but must be combined carefully. This paper also provides theoretical and practical implications for SME managers, firms participating in GVCs and policy makers, and shedding light on new research avenues.

The purpose of this study is to analyze the strategies that allow sowing social entrepreneurship initiatives among young university students in Latin America. This study will also help to understand the different needs and expectations currently treated in higher education in developing its role as a promoter of entrepreneurship in students.

The study uses a multinomial logistic regression method analysis based on data collected through an online survey and applied to a sample of 599 advanced business administration students in five Latin American countries.

The results indicate that three of the independent variables under study are relevant as strategies to instill in university students the initiative for creating social entrepreneurship: establishing links with social communities, providing entrepreneurial education with a social orientation, and offering financial education.

These research findings indicate the role universities should have in promoting social entrepreneurship in university students. Therefore, the proposed strategies are crucial to improving this type of entrepreneurship.

The main contribution of this study is to analyze issues as crucial as social entrepreneurship in Latin American university students and broaden knowledge of the main strategies universities in this region must adopt so that students launch into the social area.

El propósito de este estudio es analizar las estrategias que permitan sembrar iniciativas de emprendimiento social entre jóvenes universitarios de América Latina. Esto permitirá conocer las diferentes necesidades y expectativas que se tienen actualmente en la educación superior en el desarrollo de su papel como promotor del emprendimiento en los estudiantes.

El estudio utiliza un análisis método regresión logística multinomial basado en datos recopilados a través de una encuesta en línea, aplicada a una muestra de 599 estudiantes avanzados de administración de empresas en cinco países latinoamericanos.

Los resultados evidencian que tres de las variables independientes en estudio son relevantes como estrategia para sembrar en los estudiantes universitarios la iniciativa de crear emprendimiento social: el tener vínculos con las comunidades sociales, otorgar educación emprendedora con orientación social y el brindar educación financiera.

Los hallazgos de esta investigación señalan el rol que deben de tener las universidades para fomentar el emprendimiento social en los estudiantes universitarios. Por lo tanto, se proponen estrategias claves para mejorar este tipo de emprendimientos.

La principal contribución de este estudio es analizar temas tan importantes como el emprendimiento social en los estudiantes universitarios de América Latina y ampliar el conocimiento de las principales estrategias que deben adoptar las universidades de esta región para que los estudiantes se lancen en el área social.

O objetivo deste estudo é an analisar as estratégias que permitem semear iniciativas de empreendedorismo social entre jovens universitários da América Latina. Permitirá conhecer as diferentes necessidades e expectativas atualmente tratadas no ensino superior no desenvolvimento do seu papel de promotor do empreendedorismo nos alunos.

O estudo utiliza um método de análise de regressão logística multinomial baseado em dados coletados por meio de uma pesquisa on-line, aplicada a uma amostra de 599 estudantes avançados de administração de empresas em cinco países latino-americanos.

Os resultados mostram que três das variáveis independentes em estudo são relevantes como estratégia para incutir nos estudantes universitários a iniciativa de criar empreendedorismo social: ter ligações com comunidades sociais, proporcionar educação empreendedora com orientação social e fornecer educação financeira.

Os resultados desta investigação indicam o papel que as universidades devem ter na promoção do empreendedorismo social nos estudantes universitários. Portanto, as estratégias propostas são fundamentais para melhorar esse tipo de empreendedorismo.

A principal contribuição deste estudo é analisar temas tão importantes quanto o empreendedorismo social nos universitários latino-americanos, e ampliar o conhecimento das principais estratégias que as universidades desta região devem adotar, para que os estudantes se lancem na área social.

This study investigates how perceived political corruption, a generally overlooked corruption type, relates to firms' new product development (NPD) through perceived regulatory obstacles. It also examines firms' perceptions of business association support in this relationship, considering these associations' potential support for NPD.

This study conducted an empirical analysis of 1,663 firms in Turkey, a country noted for a history of legislative corruption, and in which there are strong business associations. Drawing the data from the World Bank's 2019 Enterprise Surveys Dataset, this study tested the hypotheses via the two-stage factor score regression method.

This study finds that perceived political corruption significantly relates to NPD negatively through perceived regulatory obstacles. It also finds that the perceived support of business associations to NPD is significantly greater when firms perceive regulatory obstacles but only slight political corruption.

As far as political corruption is concerned, this study reveals that corruption can also be the cause of regulatory obstacles, expanding the common view of corruption as a means of overcoming regulatory obstacles to NPD. In addition, it introduces the role of business associations in this relationship by revealing their support to NPD for different levels of perceived political corruption and regulatory obstacles.