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Background/Objectives: The present study aims to identify information from health research studies that have used a mixed-methods data collection approach, considering the combination of face-to-face and telephone interviews (referred to as the MMFT approach), specifically focusing on identifying themes, objectives, designs, populations involved, and implementation processes. Methods: A scoping review was developed, with systematic searches performed in March 2024 across five databases, namely, PubMed; SciELO; Scopus; Web of Science; as well as Google Scholar and reference lists. The inclusion criteria were defined under the following categories: "Participants" (observational epidemiological studies, with no restrictions as to where they were carried out, sampling techniques, or sample profiles); "Concept" (use of MMFT in data collection), and "Context" (studies carried out in the health area, with no restrictions on the theme/subject). The review process was carried out by three researchers who worked independently. Results: From the initial 1515 potential references, the synthesis of this review included data from seven original studies, highlighting cross-sectional designs, involvement of adults and/or elderly people without specific health conditions, variability between data collection strategies, and complementary use of online approaches. Conclusions: Based on the evidence generated, it is recommended that future studies assess aspects of the MMFT approach in terms of response rate, cost reduction, and increasing the speed of conducting health surveys. [ABSTRACT FROM AUTHOR]

Purpose: Employees facing challenges in their careers – i.e. female, migrant, elderly and lower-educated employees – might expect job searches to have a low likelihood of success and might therefore more often stay in unsatisfactory positions. The goal of this study is to discover inequalities in job mobility for these employees. Design/methodology/approach: We rely on a large sample of Dutch public sector employees (N = 30,709) and study whether employees with challenges in their careers are hampered in translating job dissatisfaction into job searches. Additionally, we assess whether this is due to their perceptions of labor market alternatives. Findings: Findings show that non-Western migrant, elderly and lower-educated employees are less likely to act on job dissatisfaction than their advantaged counterparts, whereas women are more likely than men to do so. Additionally, we find that although they perceive labor market opportunities as limited, this does not affect their propensity to search for different jobs. Originality/value: This paper is novel in discovering inequalities in job mobility by analyzing whether employees facing challenges in their careers are less likely to act on job dissatisfaction and therefore more likely to remain in unsatisfactory positions. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to develop a Workplace Islamic Da'wah (WID) scale, which measures the extent to which an organization incorporates the sharing of religious teachings at work through words and artifacts. WID is theoretically grounded in religious communication theory and is intended for use in organizational settings. Design/methodology/approach: A sequential mixed methods approach was used to develop a scale of WID. Qualitative data were organized into constructs and items using transcendental phenomenology. These items were then refined into a multidimensional construct through expert validity, face validity, exploratory factor analysis and confirmatory factor analysis. Findings: The research findings confirm the validity and reliability of WID as a multidimensional construct, comprising compulsive da'wah, objectics da'wah and impulsive da'wah. Research limitations/implications: This study provides implications for survey researchers interested in developing a scale using mixed methods and for practitioners who can use these findings to streamline their efforts in planning and implementing an Islamic da'wah-based model. Originality/value: To the best of the authors' knowledge, this study is the first of its kind, presenting the operationalization of WID that can be used for future empirical research endeavors in this and related fields. [ABSTRACT FROM AUTHOR]

The excessive consumption of red meat, such as beef, is a growing global health concern linked to increased risks of cancer and cardiovascular diseases. The health consequences associated with red meat consumption were estimated to cost USD 285 billion globally in 2020, accounting for approximately 0.3% of total health expenditures that year. Understanding the psychological mechanisms behind food choices is crucial for changing consumption habits, fostering healthy behaviors, and achieving sustainable dietary patterns. To address these challenges, this study utilizes virtual reality (VR) as a persuasive tool to examine how empathy, as a psychological mechanism, influences the intention to reduce beef consumption and its impact on dietary attitudes. Using an experimental design with 142 participants, the study found that in the VR context, individuals with higher empathy scores experienced a stronger sense of presence, significantly influencing their attitudes toward beef consumption, mediated by the change in anti-beef-eating attitude (p = 0.029). This suggests that VR can serve as an effective medium to reduce individuals' willingness to consume beef and consequently prevent health risks associated with excessive meat intake. This study also highlights the importance of considering individual empathy levels when designing VR interventions to maximize their effectiveness and promote healthier dietary habits, ultimately improving public health. However, one limitation of this study is that it only assessed short-term changes in attitudes following the VR intervention, without incorporating long-term follow-ups to determine if these changes are sustained over time. [ABSTRACT FROM AUTHOR]

Purpose: This research paper aims to examine two hybrid models of logistics service quality (LSQ) and its influence on satisfaction, loyalty and future purchase intention in a business-to-consumer (B2C) e-commerce context. This study extends the literature for LSQ by incorporating the second-order assurance quality construct, which comprises personnel contact quality, order discrepancy handling and order returns, into one of the hybrid models. Design/methodology/approach: A survey-based approach is used to collect data. Participant responses to questions concerning multiple LSQ dimensions and behavioral perceptions from their most recent online shopping experience are measured using structural equation modeling. Findings: Findings highlight the importance of including a second-order construct assurance quality as a more explanatory model. Results illustrate that online ordering procedures and assurance quality impact customer satisfaction more than other prominent LSQ dimensions. Furthermore, the findings revealed a customer loyalty is a partial mediator between customer satisfaction and future purchase intention. This underscores the significance of improved logistics services as a competitive edge for e-commerce retailers. Research limitations/implications: Implications are limited to the e-commerce B2C domain. Practical implications: The findings of this study underscore critical LSQ dimensions that garner greater satisfaction and retention in the online shopping experience. The results indicate that the effective and efficient handling of the initial order and any order problem significantly influences customer satisfaction and reaps the long-term benefits of customer retention. Originality/value: The authors present and empirically test a hybrid model of LSQ in a B2C e-commerce domain that captures many of the important elements of the customer experience as espoused in the literature. [ABSTRACT FROM AUTHOR]

Purpose: This research analyzes online consumer reviews and ratings to assess e-retail order fulfillment performance. The study aims to (1) identify consumer journey touchpoints in the order fulfillment process and (2) determine their relative importance for the consumer experience. Design/methodology/approach: Text mining and analytics were employed to examine over 100 m online purchase orders, along with associated consumer reviews and ratings from Amazon US. Using natural language processing techniques, the corpus of reviews was structured to pinpoint touchpoints related to order fulfillment. Reviews were then classified according to their stance (either positive or negative) toward these touchpoints. Finally, the classes were correlated with consumer rating, measured by the number of stars, to determine the relative importance of each touchpoint. Findings: The study reveals 12 touchpoints within the order fulfillment process, which are split into three groups: delivery, packaging and returns. These touchpoints significantly influence star ratings: positive experiences elevate them, while negative ones reduce them. The findings provide a quantifiable measure of these effects, articulated in terms of star ratings, which directly reflect the influence of experiences on consumer evaluations. Research limitations/implications: The dataset utilized in this study is from the US market, which limits the generalizability of the findings to other markets. Moreover, the novel methodology used to map and quantify customer journey touchpoints requires further refinement. Practical implications: In e-retail and logistics, comprehending touchpoints in the order fulfillment process is pivotal. This understanding helps improve consumer interactions and enhance satisfaction. Such insights not only drive higher conversion rates but also guide informed managerial decisions, particularly in service development. Originality/value: Drawing upon consumer-generated data, this research identifies a cohesive set of touchpoints within the order fulfillment process and quantitatively evaluates their influence on consumer experience using star ratings as a metric. [ABSTRACT FROM AUTHOR]

Purpose: The current digital work environment promoting a "constant-on" culture is a hotbed for cyber incivility. Thus, there is a pressing need to understand its mechanisms. This study aims to shed light on the triggers, sources and impact of rude behaviours in cyberspace. The authors also present the boundary conditions that exacerbate or alleviate the effects of such negative experiences. Design/methodology/approach: Through a systematic literature review based on predefined search protocols, the authors synthesised the current knowledge on cyber incivility and identified 21 peer-reviewed research articles. Findings: The findings reveal the different sources of cyber incivility, its personal, relational and organisational antecedents and consequences, and its personal and situational boundary conditions that curb or enhance the negative impact. Research limitations/implications: The authors unravel the main future research avenues based on the review findings by systemising knowledge on cyber incivility. Managerial efforts in the form of interventions and mitigation are also discussed to help combat this grieving issue in the workplace. Originality/value: This paper presents the first systematic review of the cyber incivility literature and identifies new avenues for future research. Scholars can expand upon the findings of this study to fill gaps and move the incivility in cyberspace forward. It also offers practical insights on mitigating the advancement of such behaviours in organisations. [ABSTRACT FROM AUTHOR]

Organisations encounter a significant challenge in the globalised business landscape, and thus mitigate risk by establishing robust supply chains (SCs) networks is required. In a rapidly changing environment, gaining a competitive edge is imperative. However, the exploration of the essential factors enabling resilient and sustainable supply chain management (RSSCM) in construction projects has been lacking. This study aims to bridge this gap by identifying the enabling factors for resilient and sustainable supply chain management (SSCM). To achieve this, a survey was conducted among Egyptian engineers, involving 32 factors derived from an extensive literature review on RSSCM. The data collected were categorised into four groups, namely Organisational Knowledge and Competence, Risk Management and Security, Collaboration and Communication, and Planning Efficiency and Timing, using brainstorming techniques. Subsequently, the data were analysed utilising a novel hybrid assessment approach that combines evaluation of alternatives and ranking, employing the compromise solution-fuzzy synthetic evaluation methodology, for the first time, offering a unique approach to assessing and prioritising these categories. The findings reveal that 'Planning Efficiency and Timing' emerged as the highest-performing category, whereas 'Collaboration and Communication' performed the worth. Furthermore, our results indicate that brainstorming enabled the grouping of the enablers into four distinct categories, providing a structured framework for understanding and organising them. The integration of MARCOS and FSE offered a robust decision-making approach, proposing a resilient and comprehensive decision-support system capable of tackling intricate real-world issues. This research outcome offers building administrators valuable insights for comparing different supply chains, considering how supply chain characteristics influence resilience and risk exposure in building SCs. [ABSTRACT FROM AUTHOR]

Innovating higher education teaching and learning is challenging due to structural, cultural, and resource-related reasons, and research indicates that university innovation benefits from a bottom-up approach as well as strategic alignment with university objectives. In this paper, we investigate such bottom-up innovation processes within higher education as supported by a specific tool: the University Innovation Canvas (UIC). Adapted from the Business Model Canvas and Lean Canvas, the UIC is designed to promote educational technology innovation and foster alignment of the innovation process with strategic objectives of the university: namely, sustainability and user orientation. An evaluation of the UIC based on interview and questionnaire data shows that its usage differs between innovation teams (on paper vs. digital, individual vs. collaborative, co-located vs. remotely, and synchronous vs. asynchronous). UIC usability is linked with these differences and with teams' experience in realizing innovations. Overall, the UIC is perceived to be useful by (particularly, less-experienced) innovation teams and is successful at supporting sustainable and user-oriented innovations, as 14/15 innovations are still in use after up to four years since completion. To maximize its potential, more effort needs to be devoted to improving understanding of the UIC and supporting different workflows of innovation teams in the future. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to explore the effects of long-term orientation (LTO) and strategy formation mode on corporate social responsibility. While many researchers have investigated how large businesses address corporate social responsibility (CSR), there is little empirical evidence on how small- and medium-sized businesses implement CSR or what individual drivers shape this process. Design/methodology/approach: The paper surveyed 282 small and medium-sized managers from the United Kingdom. The respondents were recruited using platform Prolific Academic. Findings: The findings reveal that LTO is a prerequisite for developing CSR and shapes strategy formation mode. The findings also suggested that deliberate strategies are positively related to CSR. The results are consistent across different components of LTO (futurity, continuity and perseverance) and CSR types (internal and external). Originality/value: The results show that all aspects of LTO are relevant for CSR in SMEs. Besides LTO, deliberate strategy formation model is an important factor contributing to CSR. The paper presents as first an empirical contribution to the strategy literature by examining positive relationship between LTO and deliberate strategy formation mode. [ABSTRACT FROM AUTHOR]

This study aims to identify motivational and attitude variables among Chilean young English learners from Concepción. A child-appropriate Likert scale questionnaire was distributed to 137 students from the 3rd, 4th, and 5th grade of two state-run primary schools. The instrument considered five variables: attitude towards English, intrinsic motivation, extrinsic motivation, Ideal L2 Self, and parent-oriented motivation, because the eclectic nature of early language learning has been shown to be influenced by these factors. The variables for teacher profile considered years of teaching experience, training in primary English language teaching, and access to multisensory and audio-visual materials. A confirmatory factor analysis was conducted to determine the internal consistency of the instrument. The Mann–Whitney U test and the Kruskal–Wallis H-test using Dunn's post hoc contrast were used to compare the motivations and attitudes by gender, teacher profile, and grade. Spearman's rho correlation coefficient was then used to identify the relationship between the target variables and the teacher profile. Results show that teacher profile is a key factor in motivation and attitude to learning English, particularly their access to multisensory and audio-visual materials. This study's main novelty is that it is the first time a questionnaire focused on children's attitudes and motivations has been applied in Chile, with clear implications for teacher education and policy implementation assessment. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to posit that managerial value would be one of the responsible factors for the difference in corporate social responsibility practice among businesses. It then empirically tested the effect of managerial value, with the moderation of organizational culture, on corporate social responsibility practice. Design/methodology/approach: The authors have devised a "moderated micro-macro model" type of multilevel model, wherein managerial value took the micro (individual level) predictor variable role, stakeholder-based corporate social responsibility practice the macro (organizational level) outcome variable role and organizational culture the macro level moderating variable role. Because they need the attention of inquiry, large manufacturing firms in the Amhara region of Ethiopia, with a sample size of 53, constituted the organizational level units. The recent performance of the firms against corporate social responsibility practice and organizational culture have been judged by 473 randomly chosen employees. Managerial value has been rated by randomly picked managers, numbered 253. Analytically, Croon and van Veldhoven's multilevel analytical package and Mplus software suited the designed model. Findings: The study has revealed that managerial value, indeed, is a potential positive driver of CSR practice, the two managerial value dimensions demonstrated differential effects on corporate social responsibility practice and only one of the organizational culture dimensions, hierarchical culture, played a moderation role in managerial value – corporate social responsibility practice link. Originality/value: The model and this empirical test have not been previously verified. [ABSTRACT FROM AUTHOR]

Purpose: In construction projects, underpayments can be recognised as one of the significant drawbacks that impact the success of a project. Research into underpayments is considered ambiguous and provides a limited reflection of the issue, which makes it complicated to trace how it originates in the first place. This study aims to examine the causes that lead to underpayments and develop a holistic synthesis of underpayments for subcontractors in the lifecycle of a construction project. Design/methodology/approach: An open-ended and closed-ended questionnaire was used to collect the data using purposeful sampling with 28 construction stakeholders who ranged from main contractors, subcontractors and others (Small medium enterprises SMEs, Consultancies, Clients etc.). Data collected was analysed to trace drivers and the impact of underpayment and suggested mitigation strategies to be identified whilst viewing the perspectives of a main contractor and subcontractor. Findings: The findings show that the most prominent driver for underpayments is variation disputes followed by cash flow. The research also suggests mitigation strategies such as collaborative working, more robust budget control and early identification of risks as potential remedies to overcome the underpayment issue. The research concludes with a framework that elicits the complexity underlying underpayments for subcontractors in construction projects. Originality/value: The research evolves the understanding that underpayment is a complex phenomenon, relying heavily on the data/information exchange mechanism between the main contractor and subcontractors. This research provokes the need to understand underpayment further so it can be mitigated. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to propose resident-based brand equity models on green, creative and smart development themes through a multi-sample telephone survey on Hong Kong residents (n = 751). Design/methodology/approach: This research adopted a quantitative approach with a round of questionnaire-based survey carried out anonymously on adult citizens who have stayed in Hong Kong for more than one year. Telephone survey was performed by a professional survey research centre with trained interviewers between May and July 2022. Findings: The study identifies the magnitude of these city brand equity attributes and reconfigured their composition under separate samples of Hong Kong residents. The results reveal the relatively stronger brand equity for developing Hong Kong as a smart city brand compared with green and creative branding. Research limitations/implications: The research findings might carry a major limitation of varied interpretations and stereotypes of each city theme (green, creative and smart) by local residents. To minimize the expected bias, two core questions were added to provide respondents with information on each theme before the main survey questions. The questions' wording was also simplified to ensure the constraint and inconsistency of layman effect. Practical implications: The common attributes across the themes, including distinctiveness, uniqueness, confidence, positive image, liveability, long-term residence, feature familiarity and top-of-mind, indicate the most prominent aspects of brand equity formation and enhancement. Since urban sustainability does not follow a single path of strategies and infrastructure development, city brand process should also follow a selective approach, which clearly identifies a multiplicity of local interests that could create the best outcomes and the strongest brand equity for the city. Originality/value: The factor allocation and regression analysis elucidate different configurations of the determining factors with a three-factor model for green city brand equity and two-factor models for the other ones. The findings encore some previous studies supporting the differentiation between common attributes and distinctive attributes, and the overlapping approach to unleash the strongest integration of attributes of brand equity. [ABSTRACT FROM AUTHOR]

Survey protocols measuring financial knowledge typically offer a don't know (DK) response option along with factual statements about personal finance. The potential problem of this practice is that a DK response could capture something other than financial knowledge and mislead empirical research on the association between financial knowledge and behavioral outcomes. In this study, we examined whether the current scales are contaminated by systemic personality effects and how reduced validity influences analytical modeling of the knowledge effect. Two studies with different national datasets were conducted in this investigation. Study 1 found that personality types and emotions are partially correlated with the propensity to give a DK response. Study 2 showed that controlling for DK response options alters the association between financial knowledge and behaviors in regression analyses. Our findings suggest that a DK response reduces construct validity of the financial knowledge score. [ABSTRACT FROM AUTHOR]

Although sustainable finance (SF) has become a leading trend in the financial industry, little is known about how attention to news on SF, trust in the industry, and recent accusations of greenwashing affect the likelihood to invest in SF products. Based on a survey of a representative sample of Swiss citizens, we find that more attention to news about SF and trust in SF are positively related to the likelihood of investing in SF, whereas greenwashing perceptions are negatively related. Furthermore, attention to SF and economic news are positive predictors of sustainable finance literacy (SFL), whereas attention to SF news is negatively associated with greenwashing perception of SF. Collectively, these findings imply that engaging citizens with SF investments, particularly information seeking on SF news and trust in SF rather than SFL, need to be fostered. The Implications of the communication practices of the SF industry and policy implications are discussed. [ABSTRACT FROM AUTHOR]

Many adolescent health surveys ask if respondents are male or female. Non-response may be due to fear of de-anonymisation or being a gender-nonconforming youth. The present study investigates the frequency of non-response and its potential reasons. To this end, data from 54,833 adolescents aged 11–18 from six countries, participating in the 2018 Health Behaviour in School-aged Children (HBSC) study, were analysed. Respondents were divided into three groups: (1) "Responders" who answered both questions on age and gender, (2) "Age non-responders" who did not answer the question on age, and (3) "Gender non-responders" who answered the question on age but not the one on gender. These groups were compared regarding their non-response to other questions and regarding their health. Overall, 98.0% were responders, 1.6% were age non-responders and 0.4% were gender non-responders. On average, age non-responders skipped more questions (4.2 out or 64) than gender non-responders (3.2) and responders (2.1). Gender non-responders reported more psychosomatic complaints, more frequent substance use and lower family support than responders. This study shows that age and gender non-responders differ in their response styles, suggesting different reasons for skipping the gender question. The health disparities found between the groups suggest that further research should use a more nuanced approach, informed by LGBT+ youth's insights, to measure sex assigned at birth and gender identity. [ABSTRACT FROM AUTHOR]

This study determined predictors of food skills in Canadian gym members. A random sample of gym members were invited to complete a validated Food Skills Questionnaire with supplementary questions. All questions/variables significantly associated (p < 0.05) and fair-to-moderately correlated (r ≥ 0.40) with Total Food Skills (TFSs) were analyzed by multiple regression. The respondents' (n = 576) mean ± SD age was 41.3 ± 14.8 years, with 67.3% females and 13.2% students. The mean TFSs score was 77.1 ± 11.9 (maximum 100). Females reported higher TFSs than males; however, this did not remain significant when nutrition-related beliefs were considered. Increasing age, taking a nutrition/cooking course, teen meal preparation, primary cook, time preparing weekend meals, believing that preparing healthy food is important, and self-reported nutritional quality of diet and nutrition knowledge were positively associated with TFSs (p < 0.05). Purchasing food/beverages from convenience stores, buying pre-prepared dinners, and being a student were negatively associated with TFSs (p < 0.05). The strongest predictors of TFSs were self-reported nutrition knowledge and nutritional quality of diet. The adjusted R2 increased by 0.30 when food-related experiences/behaviours and nutrition-related beliefs were included in the final model, which accounted for 50% of the variance in TFSs. Food experiences/behaviours and nutrition beliefs, which are associated with food skills, are potential intermediary targets for programs and/or research to improve food skills. [ABSTRACT FROM AUTHOR]

The emergence and development of smart cities represent a significant challenge for the post-modern world. Generation Z members currently entering adult life will play an important role in the implementation of the concept of a smart city. The objective of this study is to identify and analyze Generation Z students' perceptions and attitudes towards the responsible management of smart cities. Following a quantitative approach, the authors designed and applied an online survey in order to reach the purpose of the study. The research sample comprised 468 representatives of Generation Z final-year undergraduate students at a university located in a smart city in the making, Bucharest (Romania). The data were statistically analyzed and interpreted using various tools and methods, such as Cronbach's alpha and correlational analysis. The results show that students are aware of the role played by the city government in ensuring responsible management of the economic, social, and environmental issues of a smart city. Also, they emphasize that most of them are involved in or would like to be involved in different projects specific to smart cities. These results may represent the starting point for understanding Generation Z students' expectations regarding responsible management in the context of smart cities. [ABSTRACT FROM AUTHOR]

Food quality and food safety issues arouse increasing interest and concern among consumers and policy‐makers. Consequently, the importance of country‐of‐origin labelling (COOL) is increasing in business, policy and research. Numerous studies have reported a wide range of estimates for consumers' willingness‐to‐pay (WTP) for COOL using stated preference methods and, in particular, discrete choice experiments. We apply meta‐regression analyses to synthesise the heterogeneous results of 204 WTP for COOL estimates extracted from 59 studies which used discrete choice experiments and were published between 2009 and 2020. Meta‐regression analysis allows an adjusted summary proxy to be derived for the WTP for COOL and the determinants of heterogeneity in reported WTP estimates are also investigated. Our results suggest that there is a significant positive WTP for COOL, and also reveal that the reported WTP estimates are unaffected by publication bias. In addition, they show systematic variation in WTP estimates across the context and methodological characteristics of the studies. More precisely, we find that the region and the product (animal‐ vs. plant‐based) analysed, as well as certain characteristics of the choice design (e.g., the number of attributes used, or the inclusion of an opt‐out option) can have a significant impact on the estimated WTP for COOL. Finally, our results reveal significant differences in price premiums between various types of COOL (e.g., domestic vs. foreign). This highlights that results from individual primary studies should not be generalised without further consideration of the underlying study design. [ABSTRACT FROM AUTHOR]

In a planned missing design, the nonresponses occur according to the researcher's will, with the goal of increasing data quality and avoiding overly extensive questionnaires. When adjusting a structural equation model to the data, there are different criteria to evaluate how the theoretical model fits the observed data, with the root mean square error of approximation (RMSEA), standardized root mean square residual (SRMR), comparative fit index (CFI) and Tucker–Lewis index (TLI) being the most common. Here, I explore the effect of the nonresponses due to a specific planned missing design—the three-form design—on the mentioned fit indices when adjusting a structural equation model. A simulation study was conducted with correctly specified model and one model with misspecified correlation between factors. The CFI, TLI and SRMR indices are affected by the nonresponses, particularly with small samples, low factor loadings and numerous observed variables. The existence of nonresponses when considering misspecified models causes unacceptable values for all the four fit indexes under analysis, namely when a strong correlation between factors is considered. The results shown here were performed with the simsem package in R and the full information maximum-likelihood method was used for handling missing data during model fitting. [ABSTRACT FROM AUTHOR]

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Sufficient and nourishing foods during the early years of a child's life are essential for optimal growth and healthy life. The existing disparities among rural-urban populations also affect the dietary pattern as well. Therefore, this study aims to identify the factors that contribute towards the rural-urban disparity in children's dietary diversity (CDD) and quantify their importance for the reduction of rural-urban disparities in achieving a minimum dietary diversity level. Using Pakistan Demographic and Health Survey (PDHS) data, version 2017-18, a non-linear decomposition analysis was performed. Eighty-one (81%) of the gap in CDD between rural-urban areas is attributed to the differences in the observed factors (endowments) and of these most of the difference is explained by three factors i.e. number of antenatal care visits (45%), maternal education (18%) and type of toilet facility (15%). There is a need to explore maternal education-related interventions to decrease the rural-urban gap regarding CDD as maternal education may affect CDD through different dimensions. Moreover, such programs should be initiated that may be helpful to enhance women's role in society, such as skilled education, well-paid job opportunities and better health facilities. [ABSTRACT FROM AUTHOR]

In European countries, refugees await the approval of their asylum claim in reception centres. Scholars have repeatedly expressed concern about the consequences of a long reception period for refugees' mental health but the mechanisms that drive this negative relationship remain not fully understood. Using survey data from 481 Syrian refugees in the Netherlands, we show that the length of stay in reception centres was associated with an increasing number of forced relocations between reception centres, which weakened refugees' mental health during their resettlement up to 2 years later. In an attempt to improve refugees' mental health, reception centres now offer day‐time activities. However, while we find that length of stay in reception centres was associated with more frequent participation in day‐time activities, it did not substantially improve refugees' mental health. We call for policy makers to reduce the detrimental effects of a frequent forced relocations between reception centres. [ABSTRACT FROM AUTHOR]

The Timber Products Output (TPO) survey is used to determine industrial uses of roundwood, reporting on volumes of roundwood received and residues generated by the primary forest industry by tree species and counties of harvest. This knowledge aids stakeholders in making informed decisions about available forest resources and/or harvest intensity. The widespread use of TPO estimates makes it important to understand the scale and scope of missing data in the survey. This first attempt analyzed respondent-level and question-level nonresponse (RLNR and QLNR, respectively) for Northern and Southern TPO regions, comparing response to mill profile questions (those providing general business information) to those related to mill activity (that related to wood processing information). The RLNR differed between regions, by question grouping, survey mode, and mill volume. The QLNR results for selected mill activity questions indicate that the Southern region generally has lower nonresponse than the Northern region. Parametric analysis of RLNR indicated survey mode was significant for both question groups in the Northern region whereas mill type was significant for mill activity questions in the Southern region. The QLNR parametric analysis indicated self-administered surveys in the Northern region were associated with higher nonresponse, and surveys completed by sawmills in the Southern region were associated with lower nonresponse. Study Implications: Analysis of survey item nonresponse in the national Timber Products Output survey provides analytic background needed to assess the accuracy and completeness of the survey data. Population estimates from the data are used to monitor roundwood production and make informed decisions about forest resources. Responses varied across specific questions, and regional differences appeared to be related to survey mode. Current survey design could be improved to allow for analysis of all survey questions and assessment of the quality of responses. For nonresponse adjustment methods to be comparable across regions, factors causing observed regional difference should first be addressed. [ABSTRACT FROM AUTHOR]

This study investigated the trait preferences for cassava in the context of climate change and conflict stressors among value-chain actors in Nigeria to strengthen social inclusion and the community-resilience outcomes from breeding programs. Multi-stage sampling procedures were used to select and interview male and female value-chain participants in the Osun, Benue and Abia States. The results indicated that farmers preferred cassava traits such as drought tolerance, early bulking, multiple-product use and in-ground storability to strengthen resilience. Climate change and challenges related to social change shaped the response strategies from both genders, and influenced trait preferences, including the early re-emergence of cassava leaves, stems that had ratooning potential, and especially the root milking that was important among female respondents. The major response strategies employed by men included frequent farm visits to prevent theft and engaging in non-agricultural livelihoods. Those employed by women included backyard farming, early harvesting, having preferences for food with fewer processing steps, and depending on remittances. The resilience capacity was higher for men than for women due to their better access to assets, as well as their abilities to relocate their farms and out-migrate in search of other livelihoods. Considering gendered cassava traits, and enhancing their resilience and response strategies, can complement efforts to make breeding more socially inclusive, resilient, and anticipatory to future challenges created by climate and related social changes. [ABSTRACT FROM AUTHOR]

Background: School bullying causes serious impacts on adolescents' physical and mental health. Few studies have explored the various factors influencing bullying by combining different levels of data. Methods: Based on the database of four Chinese provinces and cities of the Program for International Student Assessment (PISA) in 2018, this study used a multilevel analysis model that combined school-level variables and student-level variables to explore the influencing factors of students being bullied. Results: Students' gender, grade repetition, truancy and arriving late for class, economic, social, and cultural status (ESCS), teacher support, and parent support had significant explanatory power on school bullying on the student-level; on the school-level, school discipline atmosphere and competitive atmosphere among students had significant impacts on school bullying. Conclusions: Boys, students who have repeated grades, truancy and arriving late for class, and students with lower ESCS suffer from more severe school bullying. When developing school bullying interventions, teachers and parents should pay more attention to those students and provide more emotional support and encouragement to them. Meanwhile, students in schools with a lower discipline atmosphere and a higher level of competitive atmosphere experience greater levels of bullying, and schools should create more positive and friendly environments to prevent bullying events. [ABSTRACT FROM AUTHOR]

Classroom thermal comfort has a direct effect on student health and educational outcomes. However, measuring thermal comfort (TC) is a non-trivial task. It is represented by several subjective metrics e.g., Thermal Sensation Vote, Thermal Comfort Vote, Thermal Preference Vote, etc. Since machine learning (ML) is being increasingly used to predict occupant comfort, multiple TC metrics for the same indoor space may yield contradictory results. This poses the challenge of selecting the most suitable single TC metric or the minimal TC metric combination for a given indoor space. Ideally, it will be a metric that can be used to predict all other TC metrics and occupant behavior with high accuracy. This work addresses this problem by using a primary student thermal comfort dataset gathered from 11 schools and over 500 unique students. A comprehensive evaluation is carried out through hundreds of TC prediction models using several ML algorithms. It evaluates the ability of TC metrics to predict (a) other TC metrics, and (b) the adaptive behavior of primary students. An algorithm is proposed to select the most suitable single TC metric or the minimal TC metric input combination. Results show that ML models can accurately predict all TC metrics and occupant-adaptive behavior using a small subset of TC metrics with an average accuracy as high as 79%. This work also found Thermal Sensation Vote to be the most significant single TC predictor, followed by Thermal Satisfaction Level. Interestingly, satisfaction with clothing was found to be as equally relevant as thermal preference. Furthermore, the impact of seasons and choice of ML algorithms on TC metric and occupant behavior prediction is shown. [ABSTRACT FROM AUTHOR]

Drones operate on electric batteries and not on gasoline, so the eco-friendly role of drones has recently attracted a lot of attention. Thus, this study was designed in order to investigate differences in behavioral intentions, such as intention to use, word-of-mouth, and willingness to pay more, according to demographic characteristics and past experiences in the field of eco-friendly drone food delivery services. Data were collected from 422 potential consumers of eco-friendly drone food delivery services in South Korea. The data analysis results indicated that females are more willing to pay extra than males are, respondents who were in their 50s had higher word-of-mouth intention than other generations, marital status showed significant differences in willingness to pay more and intentions to use, and there was a difference in willingness to pay more and word-of-mouth with regards to monthly income. In addition, respondents who had previously heard of drone food delivery services had higher averages with willingness to pay more and intentions to use as opposed to respondents who had not heard of them, and respondents who had experience controlling drones were willing to pay additional fees when they used eco-friendly drone food delivery services. The results of this study would be a great assistance for executives who will operate eco-friendly drone food delivery services. [ABSTRACT FROM AUTHOR]

Im Vergleich zu Umfragen an Wahrscheinlichkeitsstichproben bieten Umfragen an Access-Panels, die auf Nicht-Wahrscheinlichkeitsstichproben basieren, unbestreitbare wirtschaftliche Vorteile. Diese Vorteile gehen jedoch mit unvermeidbaren Qualitätseinbußen einher, die auch dann bestehen bleiben, wenn Erstere sehr niedrige Responseraten haben. Daher müssen die wirtschaftlichen Vorteile und die methodischen Einschränkungen gegeneinander abgewogen werden. Es wird argumentiert, dass diese Abwägung anhand normativer Festlegungen erfolgen muss. Unter Anwendung der hier vorgeschlagenen Maßstäbe kommt der Beitrag zu dem Schluss, dass die Qualitätsansprüche an über Massenmedien verbreitete Meinungsumfragen höher sein sollten als für rein (sozial)wissenschaftliche Zwecke. Compared with surveying respondents of a probability sample, surveying members of a self-selective custom online panel offers indisputable economic advantages. However, these advantages come with an unavoidable drop in quality. This disadvantage holds true even in comparison to probability sampling surveys with very low response rates. Therefore, it is necessary to balance the economic advantages against the methodological limitations. We argue that this consideration needs to be done according to normative determinations. Using the criteria proposed in this article, we conclude that public opinion research distributed through mass media should have higher quality standards than research with solely scientific purposes. [ABSTRACT FROM AUTHOR]

This qualitative study explores the effects of being in a relationship with a transgender or non-binary (TGNB) person on an individual's sexual and/or gender identity. To this aim, the responses of 107 partners of TGNB individuals to the following open-ended question were collected: "What effect, if any, has having a relationship with a transgender person had on your gender and/or sexual identity?." Through thematic analysis, 4 overarching themes emerged from the participants' responses: 1) No reason to change; 2) Exploration and changes; 3) New perspective; and 4) Negative effects and confusion. Overall, this study suggests that being in a relationship with a TGNB person may prompt a reflection on the concept of sexual and gender identity, and an exploration of one's own identity, which is usually experienced as positive, but may also be a source of distress for the individual and/or the couple. Also, in many other cases, the relationship has been observed to have no effect on the partner's identity, due to a number of reasons. These findings constitute a relevant addition to the understanding of couple's dynamics in trans-including couples. [ABSTRACT FROM AUTHOR]

Purpose: This study identifies the facilitators and inhibitors for the adoption of e-learning for the undergraduate students of architecture. Nine constructs are identified as facilitators and five constructs are identified as inhibitors to the adoption of online learning systems in the context of the study. These constructs were used to propose a research model. Design/methodology/approach: 596 architecture undergraduates responded to a structured questionnaire. The questionnaire was finalized after a pilot study and included standard scale items drawn from previous studies. An exploratory factor analysis was followed by structural equation modeling (SEM) to test the proposed model. Findings: All the identified facilitators emerged significant except social influence and price value. Furthermore, technology risk emerged insignificant while all other inhibitors had significant impact on Behavioral Intention to adopt e-learning. Research limitations/implications: The study has strong implications in academia as HEIs in developing countries need to make their students computer proficient, boost the implications of e-learning services by mitigating risks and motivating students to acquire knowledge through flexible e-learning modules. Originality/value: The COVID-19 pandemic forced educational institutions to switch to online modes of learning. For students of architectural programs in a developing country like India, this has been unprecedented and has brought in a new set of challenges and opportunities. With the extension of the pandemic induced lockdown in educational institutions, students – and other stakeholders – have no choice but to adapt to this new normal of dependence on remote learning. [ABSTRACT FROM AUTHOR]

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A method commonly used in health care research is the waiting room (WR) survey. While patients are waiting for their appointment, they are asked to complete a questionnaire measuring their attitudes, behaviors and other characteristics. In this paper we synthesize practical guidelines for WR surveys by comparing the method with two similar approaches: public intercept (PI) surveys and drop-off-pick-up (DOPU) surveys. In this comparison we use the Total Survey Error approach Groves (Survey Methodology, Wiley, New York, 2004); (Groves in Public Opinion Quarterly 74(5): 849-879, 2010) and apply it to three case examples in which one of the three surveys is used. We take into account measurement (validity, measurement- and processing error) and representation (coverage-, sampling- and nonresponse error). From our review, we conclude that waiting room surveys, though limited to patients and their caregivers, can provide useful information on patients' perspective on health care. Response rates in waiting rooms are usually high, but often not even reported. We recommend adjustment for sampling bias by taking into account the number of visits to the hospital per respondent and sample times proportionate to the number of sample members expected on a particular time. These surveys also allow for collection of para-data; i.e., relevant information in the circumstances of a request to participate in survey research, and behavior of surveyors can easily be controlled, or investigated in an experimental design. [ABSTRACT FROM AUTHOR]

Augmenting survey data with digital traces is a promising direction for combining the advantages of active and passive data collection. However, extracting interpretable measurements from digital traces for social science research is challenging. In this study, we demonstrate how to obtain measurements of news media consumption from survey respondents' web browsing data using Bidirectional Encoder Representations from Transformers, a powerful natural language processing algorithm that estimates contextual word embeddings from text data. Our approach is particularly relevant for political scientists and communication researchers studying exposure to online news content but can easily be adapted to projects in other disciplines working with similar data sets. [ABSTRACT FROM AUTHOR]

Purpose: Self-efficacy, or a person's belief in his/her ability to perform specific tasks, has been correlated with workplace performance and role adjustments. Despite its relevance, and numerous studies of it in the management literature, evidence regarding its function in professionals employed in hybrid roles, such as doctor-managers, is lacking. The aim of this study was to fill this gap by exploring the mediating effect of physicians' managerial attitude on the relationship between their self-efficacy and workplace performance.Design/methodology/approach: Primary and secondary data from 126 doctor-managers were obtained from the Italian National Health Service. A structural equation modeling approach was used for analysis.Findings: This study's results provide for the first time empirical evidence about a surprisingly little-analyzed topic: how physicians' managerial attitude mediates the relationship between their self-efficacy and workplace performance. The study offers important evidence both for scholars and organizations.Practical Implications: This study's results provide valuable input for the human resources management of hybrid roles in professional-based organizations, suggesting a systematic provision of feedback about doctor-managers' performance, the adoption of a competence approach for their recruitment, and a new design of doctor-managers' career paths.Originality/value: The authors provide new evidence about the importance of managerial traits for accountable healthcare organizations, documenting that behavioral traits of physicians enrolled into managerial roles matter for healthcare organizations success. [ABSTRACT FROM AUTHOR]

Administrative data may suffer from delays or mistakes in reporting. To adjust for the resulting measurement errors, it is often necessary to combine data from related sources, such as sample survey, administrative or 'big' data. However, the additional measure variable usually has a different definition and errors of its own, and the available joint data set may not have a completely known sampling distribution. We develop a modelling approach which capitalizes on one's knowledge and experience with the data source where they exist, and apply it to register‐ and survey‐based Employed status. Comparisons are made to adjustments by hidden Markov models. Our approach is applicable to similar situations involving big data sources. [ABSTRACT FROM AUTHOR]

A growing trend in UX research is the use of Online Panels (OPs), namely people enrolled in a web platform who have agreed to participate regularly in online studies and/or in the execution of simple and repetitive operations. The effect of the participation of such "professional respondents" on data quality has been questioned in a variety of fields (e.g., Psychology and Marketing). Notwithstanding the increasing use of OPs in UX research, there is a lack of studies investigating the bias affecting usability assessments provided by this type of respondents. In this paper we have addressed this issue by comparing the usability evaluations provided by professional respondents commonly involved in debugging activities, non-professional respondents, and naive people not belonging to any OP. In a set of three studies, we have addressed both the effect of expertise and type of task (debugging vs. browsing) on the usability assessments. A total of 138 individuals participated in these studies. Results showed that individuals who performed the debugging test provided more positive usability ratings regardless of their skills, conversely, professional respondents provided more severe and critical ratings of perceived usability than non-professionals. Finally, the comparison between the online panelists and naive users allowed us to better understand whether professional respondents can be involved in usability evaluations without jeopardizing them. [ABSTRACT FROM AUTHOR]

The study addressed broad aspects related to digital technology platforms and renewable energy sources, including the integration of these systems and concepts. The main objective was to identify the implementation environment for a digital technology platform of renewable energy sources (RES) based on business and consumer feedback. This gives an insight into whether there is a favourable environment for implementing a RES digital technology platform. The study was based on research carried out using computer-assisted telephone interview (CATI) and computer-assisted web interview (CAWI) methods. Additionally, an alternative model of attitudes towards digital technology platforms (DTPs) built using CATREG (categorical regression) analysis was also referred to. The study found that currently, there is a positive attitude among companies, including those which install RES systems, as well as among consumers towards the implementation of DTP-based RES projects. This attitude is driven by the many benefits that can be achieved by using these platforms. However, there are some obstacles to the implementation of a digital RES platform. These relate to cyber security concerns, including computer or internet failures. However, the obstacles are not crucial for the practical implementation of the discussed platform. [ABSTRACT FROM AUTHOR]

It is estimated that Latin America and the Caribbean (LAC) is the region with the second highest figures for food insecurity (FI) globally, with a prevalence of 40.9% in the entire region. This cross-sectional study analyzes the household factors associated with FI across 13 LAC countries. We used data from the first round of high-frequency phone surveys, conducted by the World Bank. Approximately 4 out of 10 people in LAC experienced FI during the first phase of the COVID-19 pandemic. FI was positively associated with the number of individuals aged from 5 to 18 years, the number of men, the illness, accident, or death of an income-earning household member, and health expenditure due to COVID-19 or other illnesses, as well as the increase in food prices, reduced family income, and job loss by a member of the household. On the other hand, households located in capital cities and those with more bedrooms were less likely to have experienced FI. The design of social policies must focus on the economic deficiencies experienced by the LAC population, with unemployment, reduced income, and high food costs being the main factors that must be addressed to ensure adequate nutrition. [ABSTRACT FROM AUTHOR]

As ever more surveys are conducted, recruited respondents are more likely to already have previous survey experience. Furthermore, it has become more difficult to convince individuals to participate in surveys, and thus, incentives are increasingly used. Both previous survey experience and participation in surveys due to incentives have been discussed in terms of their links with response quality. This study aims to assess whether previous web survey experience and survey participation due to incentives are linked with three indicators of response quality: item non‐response, primacy effect and non‐differentiation. Analysing data of the probability‐based CROss‐National Online Survey panel covering Estonia, Slovenia and Great Britain, we found that previous web survey experience is not associated with item non‐response and the occurrence of a primacy effect but is associated with non‐differentiation. Participating due to the incentive is not associated with any of the three response quality indicators assessed. Hence, overall, we find little evidence that response quality is linked with either previous web survey experience or participating due to the incentive. [ABSTRACT FROM AUTHOR]

As a result, the pandemic led to rapid changes and survey agencies across the world have been faced with profound transformations of data collection and survey practices in a short period of time. Prior to the COVID-19 pandemic, survey agencies had started moving towards online data collection, as response rates in social surveys had been falling for decades and survey costs were increasing (de Leeuw, 2018). The papers can be broadly split into three main topics: (1) transitioning to online data collection or to mixed-mode designs; (2) data quality in online surveys; and (3) innovations in survey data collection. [Extracted from the article]

We conducted an experiment to evaluate the effects on fieldwork outcomes and interview mode of switching to a web‐first mixed‐mode data collection design (self‐administered web interview and interviewer‐administered telephone interview) from a telephone‐only design. We examine whether the mixed‐mode option leads to better survey outcomes, based on response rates, fieldwork outcomes, interview quality and costs. We also examine respondent characteristics associated with completing a web interview rather than a telephone interview. Our mode experiment study was conducted in the 2019 wave of the Transition into Adulthood Supplement (TAS) to the US Panel Study of Income Dynamics (PSID). TAS collects information biennially from approximately 3,000 young adults in PSID families. The shift to a mixed‐mode design for TAS was aimed at reducing costs and increasing respondent cooperation. We found that for mixed‐mode cases compared to telephone only cases, response rates were higher, interviews were completed faster and with lower effort, the quality of the interview data appeared better, and fieldwork costs were lower. A clear set of respondent characteristics reflecting demographic and socioeconomic characteristics, technology availability and use, time use, and psychological health were associated with completing a web interview rather than a telephone interview. [ABSTRACT FROM AUTHOR]

Driven by innovations in the digital space, surveys have started to move towards online data collection across the world. However, evidence is needed to demonstrate that online data collection strategy will produce reliable data which could be confidently used to inform policy decisions. This issue is even more pertinent in cross‐national surveys, where the comparability of data is of the utmost importance. Due to differences in internet coverage and willingness to participate in online surveys across Europe, there is a risk that any strategy to move existing surveys online will introduce differential coverage and nonresponse bias. This paper explores representativeness across waves in the first cross‐national online probability‐based panel (CRONOS) by employing R‐indicators that summarize the representativeness of the data across a range of variables. The analysis allows comparison of the results over time and across three countries (Estonia, Great Britain and Slovenia). The results suggest that there are differences in representativeness over time in each country and across countries. Those with lower levels of education and those who are in the oldest age category contribute more to the lack of representativeness in the three countries. However, the representativeness of CRONOS panel does not become worse when compared to the regular face‐to‐face interviewing conducted in the European Social Survey (ESS). [ABSTRACT FROM AUTHOR]

A sequential mixed‐mode data collection, online‐to‐telephone, was introduced into the National Child Development Study for the first time at the study's age 55 sweep in 2013. The study included a small experiment, whereby a randomised subset of study members was allocated to a single mode, telephone‐only interview, in order to test for the presence of mode effects on participation and measurement. Relative to telephone‐only, the offer of the Web increased overall participation rates by 5.0 percentage points (82.8% vs. 77.8%; 95% confidence interval for difference: 2.7% to 7.3%). Differences attributable to mode of interview were detected in levels of item non‐response and response values for a limited number of questions. Most notably, response by Web (relative to telephone) was found to have increased the likelihood of non‐response to questions relating to pay and other financial matters, and increased the likelihood of 'less desirable' responses. For example, response by Web resulted in the reporting of more units of alcohol consumed, and more negative responses to subjective questions such as self‐rated health, self‐rated financial status and well‐being. As there was evidence of mode effects, there is the potential for biases in some analyses, unless appropriate techniques are utilised to correct for these. [ABSTRACT FROM AUTHOR]