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The purpose of this paper is to compare the assessment of poverty/deprivation using different conceptions of this phenomenon including the traditional money‐metric measure and different forms of multidimensional constructs.

The data were drawn from a household survey conducted in Nsukka, Nigeria. Interviewer‐administered questionnaires were used in data collection from about 410 households across urban and rural localities. The counting and FGT methodologies were used to assess impoverishment, while regression analyses were used to assess the determinants of deprivation across different constructs.

Between 70 per cent and 78 per cent of the study population were identified as poor/deprived. However, more than 11 per cent of those living on less than USD1.25/day were classified as non‐poor using different measures of multidimensional poverty. Similarly, more than 62 per cent of individuals who live on more than 1.25USD/day (i.e. non‐poor) are classified as poor using different measures of multidimensional deprivation. There is some level of correlation between measures, some inevitably stronger than others. The major determinants of deprivation across the various constructs of deprivation include large family size, low level of education, poor employment, rural location, and poor health.

This paper uses novel datasets that incorporate variables relating to the capability approach in understanding deprivation. Specifically, it analyses the so‐called missing dimensions of poverty. It also applies a new methodology for the assessment of impoverishment and deprivation. It highlights the importance of the capability approach in explaining poverty.

The Maturity Matrix is a tool designed in the UK to assess family practice organisational development and to stimulate quality improvement. It is practice‐led, formative and undertaken by a practice team with the help of trained facilitators. The aim of this study is to assess the Maturity Matrix as a tool and an organisational development measure in European family practice settings.

Using a convenience sample of 153 practices and 11 facilitators based in the UK, Germany, The Netherlands, Switzerland and Slovenia, feasibility was assessed against six criteria: completion; coverage; distribution; scaling; translation; and missing data. Information sources were responses to evaluation questionnaires by facilitators and completed Maturity Matrix profiles.

All practices taking part completed the Maturity Matrix sessions successfully. The Netherlands, the UK and Germany site staff suggested including additional dimensions: interface between primary and secondary care; access; and management of expendable materials. Maturity Matrix scores were normally distributed in each country. Scaling properties, translation and missing data suggested that the following dimensions are most robust across the participating countries: clinical performance audit; prescribing; meetings; and continuing professional development. Practice size did not make a significant difference to the Maturity Matrix profile scores.

The study suggests that the Maturity Matrix is a feasible and valuable tool, helping practices to review organisational development as it relates to healthcare quality. Future research should focus on developing dimensions that are generic across European primary care settings.

The purpose of this paper is to identify the causal (not correlational) effect of women’s entrepreneurship on corporate social responsibility (CSR) practices in Latin America.

This study builds on a hitherto unexploited sparse data set on Latin American B Corporations to identify the causal relationship of interest and on a (synthetic) instrumental variable method.

The results confirm that women’s entrepreneurship has a positive causal effect on social responsibility. This study finds that an increase of 1% in the proportion of women entrepreneurs leads to an increase of 0.5 in the B Impact Assessment score, the CSR indicator.

This study contributes to the literature by providing robust statistical evidence of a causal relationship between women entrepreneurs and social responsibility practices in the Latin American context. This research captures the multidimensional nature of social responsibility by using a comprehensive and vast metric of CSR obtained from the data of the B Impact Assessment tool. This study illustrates how machine learning methods can be used to address the lack of structure of the Latin American B Impact Assessment data.

El propósito de esta investigación es identificar el efecto causal (no correlacional) del emprendimiento de mujeres en las prácticas de responsabilidad social empresarial (RSE) en América Latina.

Nos basamos en un conjunto de datos escasamente explorado hasta el momento sobre las Empresas B en América Latina para identificar la relación causal de interés, y utilizamos un método de Variables Instrumentales (VI) sintéticas.

Nuestros resultados verifican el efecto causal positivo del emprendimiento de las mujeres en la responsabilidad social. Descubrimos que un aumento del 1% en la proporción de mujeres emprendedoras conduce a un aumento de 0.5 en la puntuación de la Evaluación de Impacto B, nuestro indicador de RSE.

Contribuimos a la literatura proporcionando evidencia estadística sólida de una relación causal entre emprendedoras mujeres y prácticas de responsabilidad social en el contexto de América Latina. Esta investigación captura la naturaleza multidimensional de la responsabilidad social mediante el uso de una métrica amplia y vasta de RSE obtenida de los datos de la herramienta de Evaluación de Impacto B. Ilustramos cómo se pueden utilizar métodos de aprendizaje automático para abordar la falta de estructura de los datos de evaluación de impacto B en América Latina.

O propósito desta pesquisa é identificar o efeito causal (não correlacional) do empreendedorismo feminino nas práticas de responsabilidade social corporativa (RSC) na América Latina.

Baseamo-nos em um conjunto de dados escasso até então não explorado sobre as Empresas B na América Latina para identificar a relação causal de interesse, e utilizamos um método de Variáveis Instrumentais (VI) sintéticas.

Nossos resultados verificam o efeito causal positivo do empreendedorismo feminino na responsabilidade social. Descobrimos que um aumento de 1% na proporção de mulheres empreendedoras leva a um aumento de 0,5 no escore de Avaliação de Impacto B, nosso indicador de RSC.

Contribuímos para a literatura fornecendo evidências estatísticas robustas de uma relação causal entre empreendedoras mulheres e práticas de responsabilidade social na América Latina. Esta pesquisa captura a natureza multidimensional da responsabilidade social usando uma métrica abrangente e vasta de RSC obtida a partir dos dados da ferramenta de Avaliação de Impacto B. Ilustramos como métodos de aprendizado de máquina podem ser usados para lidar com a falta de estrutura dos dados de avaliação de impacto B na América Latina.

The Hospital Survey on Patient Safety Culture (HSOPSC) is a rigorously designed tool for measuring inpatient safety culture. The purpose of this paper is to develop a cross-cultural HSOPSC for Hungary and determine its strengths and weaknesses.

The original US version was translated and adapted using existing guidelines. Healthcare workers (n=371) including nurses, physicians and other healthcare staff from six Hungarian hospitals participated. Answers were analyzed using exploratory factor analyses and reliability tests.

Positive responses in all dimensions were lower in Hungary than in the USA. Half the participants considered their work area “acceptable” regarding patient safety. Healthcare staff worked in “crisis mode,” trying to accomplish too much and too quickly. The authors note that a “blame culture” does not facilitate patient safety improvements in Hungary.

The results provide valuable information for promoting a more positive patient safety culture in Hungary and for evaluating future strategies to improve patient safety.

Introducing a validated scale to measure patient safety culture in Hungary improves healthcare quality.

As the retail banking institutions are becoming more customer centric, their focus on service quality is increasing. Established service quality frameworks such as SERVQUAL and SERVPERF have been applied in the banking sector. While these models are widely accepted, they are expensive because of the need for replication across bank branches. The purpose of this paper is to propose a novel, user friendly and cost effective approach by amalgamating the traditional concept of service quality in banks (marketing base) and sentiment analysis literature (information systems base).

In this study, the main objective is to analyze user reviews to better understand the correlation between RATER dimension sentiment scores as independent variables and user overall rating (customer satisfaction) grouping in “good” and “bad” as dependent variable through development of authors’ own logistic regression model using lexicon-based sentiment analysis. The model has been developed for three largest private banks in India pertaining to three banking product categories of loans, savings and current accounts and credit cards.

The results show that the responsiveness and tangibles dimensions significantly impact the user evaluation rating. Even though the three largest private banks in India are concentrating on the tangibles dimension, not all of them are sufficiently focused on the responsiveness dimension. Additionally, customers looking for loan products are more susceptible to negative perceptions on service quality.

This study has highlighted two types of scores whereby user provided overall evaluation scores help provide validation to the sentiment scores. The developed model can be used to assess performance of a bank in comparison to its peers and to generate in depth insights on point of parity (POP) and point of difference (POD) fronts.

Individuals with an intellectual disability (ID) develop mental health difficulties at similar rates to individuals in the general population. Using Patient Reported Outcome Measures can help track deterioration and improve the outcomes of individuals seeking help for their difficulties. The Clinical Outcome in Routine Evaluation-Learning Disabilities (CORE-LD) is a multi-trait measure of psychological distress which has shown moderate test-rest reliability. However, the CORE-LD is yet to be validated for the population it was designed for. Therefore the purpose of this paper is to establish the concurrent validity of the CORE-LD in a population of individuals with a diagnosis of mild–moderate ID.

Participants with a diagnosis of mild–moderate ID, as well as other co-morbidities, were recruited from two UK inpatient hospitals and asked to complete the CORE-LD and its general population counterpart the Clinical Outcome in Routine Evaluation-Outcome Measure (CORE-OM).

Statistically significant differences were found regarding the CORE-LD across gender, with females scoring higher on the CORE-LD than males. There was no significant difference between security levels. The overall mean scores on each measure were moderately correlated. The data from this analysis suggest a significant positive correlation (r_s=0.68).

This initial study’s findings have demonstrated the CORE-LD may have concurrent validity, and further replication studies in larger and more diverse samples are needed.

Pain is demonstrated as a complex, multi-dimensional phenomenon that is interdependent and connected between people. The author proposes that social scientists use a “total model” of pain to better understand pain epistemologically and ontologically and people’s “pain lives.” Through this model, and drawing from the author’s own research on mixed martial artists, new ways to conceptualize, study, and talk about pain within the sporting context have been outlined.

In the first part of this chapter, pain is discussed with respect to how it has been researched and understood within the fields of medicine, sport psychology, and the sociology of sport. In the second part of this chapter, the total pain model developed by Dame Cicely Saunders is explored as a revolutionary development for the ways in which pain is understood and treated within the health field. Lastly, the author proposes a reconstructed methodology for the study of pain.

Pain should be studied not from one tradition, but using an amalgamation of the medical, sport psychology, and sociology of sport traditions and perspectives. In this way, the many dimensions of the phenomenon, social, cultural, political, material/physical, spiritual, existential, emotional, and cognitive must be explored from all systems and languages of pain in order to achieve a more robust understanding of pain in sport.

The dualistic relationship between theory and method currently present in most qualitative research does not fully account for the complexity of bodies in pain. Therefore, it is critical to adopt an interwoven methodological and theoretical approach that enables scholars to relate to, and feel with, people in pain.

The application of massive open online courses (MOOCs) helps integrate sustainable development goals (SDGs) into architectural curricula. The essence of MOOC development is building an education platform that promotes the sharing and continuing of global education resources.

This study establishes a four-dimensional evaluation model based on the four characteristics of MOOCs. The quadrilateral area evaluation method is used to create an evaluation radar chart to comprehensively evaluate satisfaction and demand in the traditional teaching model of architectural technology. This study discusses whether the curriculum is suitable for the development of MOOCs and how to optimize the sustainable pedagogical mode according to its characteristics to meet future teaching needs and realize the sustainable development of education.

Satisfaction evaluation found that current education is not open enough from the students' perspective; therefore, MOOCs enhance students' participation and significantly reduce future learning costs. Through demand evaluation, it was found that both teachers and students believed that the lack of direct and effective communication between them and the difficulty in ensuring the learning effect were problems that must be addressed in MOOCs.

This study focused on the sustainability of MOOCs in curriculum development. It emphasizes the combination of MOOCs' teaching modes and the course itself and provides specific guidance and suggestions for improving the course. It uses an evaluation method for objective analysis and visualization.

The missing travel time data for roads is a common problem encountered by traffic management departments. Tensor decomposition, as one of the most widely used method for completing missing traffic data, plays a significant role in the intelligent transportation system (ITS). However, existing methods of tensor decomposition focus on the global data structure, resulting in relatively low accuracy in fibrosis missing scenarios. Therefore, this paper aims to propose a novel tensor decomposition model which further considers the local spatiotemporal similarity for fibrosis missing to improve travel time completion accuracy.

The proposed model can aggregate road sections with similar physical attributes by spatial clustering, and then it calculates the temporal association of road sections by the dynamic longest common subsequence. A similarity relationship matrix in the temporal dimension is constructed and incorporated into the tensor completion model, which can enhance the local spatiotemporal relationship of the missing parts of the fibrosis type.

The experiment shows that this method is superior and robust. Compared with other baseline models, this method has the smallest error and maintains good completion results despite high missing rates.

This model has higher accuracy for the fibrosis missing and performs good convergence effects in the case of the high missing rate.

This paper aims to examine how consumers perceive incomplete information in print apparel advertisements in magazines and whether incomplete information influences decisions.

A total of 239 examples of print apparel advertisements in fashion magazines were collected in 2006. Content analysis was utilised to code the types of information in print apparel advertisements prior to the design of the questionnaire in the consumer survey. In the questionnaire, attitudes toward incomplete information in print apparel advertisements, information search, involvement, purchasing intentions, and demographics were included. A consumer survey was administered in Taiwan using stratified sampling. The total number of completed, usable questionnaires returned was 304.

Consumers who thought missing information in print apparel advertising to be important tended to find missing information from other sources like media, word‐of‐mouth, salespersons, and in stores. Information search behaviour positively influenced purchasing intentions. Consumers with higher levels of involvement tended to pay more attention to missing information and were more likely to search information.

Print apparel advertisements are presented not only in magazines, but on outdoor billboards, in catalogues, on the internet, in newspapers, and in buses. The restrictions of readers of fashion magazines as respondents in the study could limit the applicability of research findings of the study to attitudes toward incomplete information in print apparel advertisements of fashion magazine readers.

Print apparel advertisements are not a major source for consumers to obtain comprehensive fashion information. Simplified but clear design of print apparel advertising is acceptable for consumers who are prone to ignore missing information. Those who tend to notice missing information in print apparel advertisements would investigate other sources to obtain information for purchase decisions. Print apparel advertisements showing fashion clothing and brand names only are easy for browsing. The attractiveness of print apparel advertising design seems to be more important than detailed information included in advertisements.

The contribution of the study is to reveal attitudes toward incomplete information in print apparel advertising. The results of the study could be beneficial for apparel advertisers and could be valuable for marketers to realise the types of information consumers prefer while searching though the medium of fashion magazines.