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Symptom control is a key aim of advanced cancer and palliative care. Yet, wellbeing in this context is complex, highly contextual, and contested. The World Health Organisation’s (WHO, 2021, p. 10) recent definition of wellbeing, for example, emphasises ‘meaning and purpose’. Models of care – such as the biopsychosocial model – aim to attend to this complexity. And such models matter: if assessments of an intervention lowlight effects relating to psychological and social domains, the potential benefits of these interventions may go unrecognised. In this chapter, the authors provide the results of a review of symptom assessment scales used in advanced cancer and palliative care settings. Combining the analytic strengths of a critical review with the brevity of a rapid review (Grant & Booth, 2009), this critical rapid review asks: to what degree do scales measuring the impacts/effects of symptoms on wellbeing in advanced cancer contexts incorporate the three components of the ‘biopsychosocial’ model: biological, psychological, and social? Findings – considered in the context of conflicting evidence on the effectiveness of medicinal cannabis in supporting patient wellbeing – show that only five of the eleven scales identified through the review attend to social aspects of wellbeing. These findings reinforce critiques of the biopsychosocial model and demonstrate the dominance of dualistic, biomedical conceptualisations of wellbeing. Drawing on Barry et al.’s (2008) scholarship on interdisciplinarity, the findings underscore the limitations of numeric measures of wellbeing conducted in isolation and support calls for an ontological reimagination of wellbeing in advanced cancer and palliative care contexts.

This paper reviews 18 workplace spirituality scales developed over a period of 23 years from year 2000 to early 2023. The objective is to provide inputs which can guide future researchers in choosing an existing appropriate workplace spirituality scale and in adopting sound scale development procedures for the development of new workplace spirituality scales.

This paper outlines the need for and importance of carrying out a review of workplace spirituality scales. Thereafter, it carries out a review of each of the 18 workplace spirituality scales. It describes 10 overall limitations of the collective set of workplace spirituality scales. Finally, five future research directions are outlined.

The review indicates that most of the workplace spirituality scales have limitations associated with them. The collective set of workplace spirituality scales also has several overall limitations.

The review suggests that workplace spirituality researchers need to exercise caution in choosing an appropriate existing workplace spirituality scale for their research. The review also provides directions for the future research for developing more adequate workplace spirituality scales.

The inputs from this review will contribute to improve the practice of workplace spirituality research.

As workplace spirituality can make organizations more beneficial for employees and the society, this review's contribution to improving workplace spirituality research has an indirect social significance.

This is, to the author's knowledge, the first comprehensive review of 18 workplace spirituality scales developed over a period of 23 years from year 2000 to 2023.

The purpose of this study was to ascertain the relationship between EFL teachers' perception of the intended and unintended consequences of formative assessment (FA) decisions and their sense of self-efficacy and anxiety toward data-driven decision-making (DDDM).

A correlational research design and correlational/regression analysis was utilized to conduct this study. In addition, a thematic analysis was conducted of participants' responses to the open-ended questions.

Descriptive statistics suggest that most EFL teachers perceived both intended and unintended consequential validity of their FA decisions with a moderate level of DDDM self-efficacy and a low level of anxiety. The results of the correlational analysis indicated a strong positive relationship indicating that those with higher teachers' perceptions of consequential validity of formative assessment (TPCVFA) scores tended to report higher DDDM efficacy. The results of the correlational analysis also indicated that a significant relationship did not exist between TPCVFA scores and DDDM anxiety. Finally, multiple regression analyses revealed that TPCVFA was a significant predictor of DDDM efficacy; however, TPCVFA was not a significant predictor of DDDM anxiety.

Data collected from 114 Iranian EFL teachers using the Data-Driven Decision-Making Efficacy and Anxiety Inventory (3D-MEA, Dunn et al. 2013a) and the TPCVFA questionnaire, which was self-developed and validated for the current study.

This study aims to focus on assessing the psychometric properties necessary to validate the internal structure of the TOURQUAL scale.

A quantitative research study was conducted in collaboration with the Brazilian Network of Tourism Observatories, comprising 927 respondents surveyed between October 2021 and May 2022. The data analysis involved the application of descriptive statistics and exploratory factor analysis, in alignment with the principles outlined in the Standards for Educational and Psychological Testing 2014 to validate the scale.

The findings of this study validate the TOURQUAL scale as a robust tool for assessing the perceived quality of tourist services, with results demonstrating one-dimensionality and replicability.

To the best of the authors’ knowledge, this study is the first to assess the psychometric properties for validating the internal structure of the TOURQUAL scale.

This study aimed at identifying the prevalence of statistic anxiety among students in social sciences programs and analyzing the relationship between statistics anxiety and four key variables: attitude toward statistics, statistics self-efficacy, achievement in statistics and academic procrastination.

Method a total of 440 students from all statistics sections offered in the social sciences programs in a four-year public medium-sized university in UAE participated in this study. Students participated by responding to a package that has four instruments: Statistics Anxiety Scale, Attitudes Toward Statistics, Current Statistics Self-Efficacy and Procrastination Assessment Scale.

More than 27% of students have above average statistics anxiety. Significant correlations were observed between statistics anxiety and each of attitude toward statistics course (−0.34), academic procrastination (0.33) and achievement (−0.35). On the other hand, Attitudes Toward Statistics and statistics self-efficacy have non-significant correlations. The four variables together predict more than 32% of the total variance of statistics anxiety, and the best predictor was procrastination followed by course attitude.

Students from only one university participated in this study. Adding more universities and countries could increase the generalizability of the study.

Statistics anxiety is prevalent among students in social sciences programs. Statistics instructors must be ready to deal with reducing it. Several procedures have been suggested to reduce statistics anxiety but improving attitudes towards statistics courses is the key factor in this regard.

Many students from social sciences and humanities programs and colleges experience anxiety or tension related to statistics courses which are required in most higher education institution. This paper tried to understand which variables affecting this phenomenon and in which directions. At the end, statistics is an important subject for all students during their academic life as well as practical life after graduation.

Statistic anxiety is the feeling of worrying and tension that students experience when taking statistics courses, especially in social sciences programs. Studying statistic anxiety and the related variables is crucial because this anxiety negatively and significantly affects students’ achievement and learning.

Small and medium-sized enterprises (SMEs) are highly concerned about every aspect of their international performance (IP) due to their limited resources. However, the literature has not given equal attention to every necessary aspect and has left some fields unexplored. Moreover, different approaches to assessing SME IP have made the literature even more fragmented. This research aims to identify the gaps in the research context and assessment methods of this concept.

A systematic literature review and a thematic analysis method are employed to review 272 journal papers published in high-quality journals.

By extracting six contexts in which the concept of international performance of SMEs has been analyzed, this study integrates the research themes with geographical domains and highlights which contexts require more attention. Moreover, this study provides a comprehensive review of the current state of this concept’s operationalization methods, illustrating the level of fragmentation and differences in the literature. Following the presentation of an enriched future research agenda, this study guides scholars on the current gaps and needs for research in specific contexts and domains while providing suggestions for a more cohesive assessment of the concept.

This study is the first to systematically review the research concerning the foreign performance of firms with less than 500 employees, extract their research context, illustrate uninvestigated fields and provide helpful suggestions about the concept’s operationalization method based on a comprehensive review of the extant assessment methods.

The research studies the issues of ensuring the economic sustainability of chemical industry enterprises based on financial and economic management. This chapter explores the theoretical and methodological aspects of appraising the economic stability of industrial enterprises. The authors presented a unique view on the essence of economic stability and clarified the interpretation of the economic sustainability of enterprises from the perspective of the influence of factors of the external and internal environment. The authors devised an innovative approach to appraising the economic stability of industrial enterprises using integral differential equations derived from regression analysis. The advantage of existing methods in the proposed assessment methodology is that it is possible to see the only clear expression of the comprehensive evaluation of weight values by calculating the main internal (quantity of product sales, employee efficiency, material and technical resources, sales worth, and equity) and external factors (social elements, market demand, inflation, variations in exchange rates, infrastructure, regulation of legislation, etc.).

This study aims to investigate the feasibility of health cadres in Indonesia to take perinatal depression screening in the community using Edinburgh Postnatal Depression Scale (EPDS) and Whooley.

The field study involved 11 health cadres (community volunteers who assist in maternal and child health) who were trained to administrate EPDS and Whooley towards 36 pregnant and postpartum mothers in a low resource urban setting for a month. A comparison of scores from both tools, the number and type of mistakes made by the cadres, and cadres perception about the tools were combined to determine the most feasible tool for cadres in identifying depression symptoms.

The results show both tools are comparable for screening depression symptoms in mothers; however, EPDS was better at differentiating the level of symptoms. Whooley, with two case-finding questions, is simpler for cadres, whereas the EPDS is more difficult to be computed by cadres. Cadres support the implementation of such a screening, as it provides a channel for mothers to express their negative feelings.

The findings indicate Whooley is sufficient for first-level screening in the community by cadres, whereas the EPDS should be used by qualified health-care workers for further evaluation at primary health clinics.

Health cadres could potentially be trained to use standardized yet simple psychological tools. Involving trained health cadres in integrated maternal mental health services in primary health care in Surabaya, Indonesia is promising.

The use of the EPDS and the Whooley questions has not been applied in Indonesia particularly among health cadres despite their long-lasting role in primary health-care system.

This research is aimed at preparing landslide susceptibility using spatial analysis and soft computing machine learning techniques based on convolutional neural networks (CNNs), artificial neural networks (ANNs) and logistic regression (LR) models.

Using the Geographical Information System (GIS), a spatial database including topographic, hydrologic, geological and landuse data is created for the study area. The data are randomly divided between a training set (70%), a validation (10%) and a test set (20%).

The validation findings demonstrate that the CNN model (has an 89% success rate and an 84% prediction rate). The ANN model (with an 84% success rate and an 81% prediction rate) predicts landslides better than the LR model (with a success rate of 82% and a prediction rate of 79%). In comparison, the CNN proves to be more accurate than the logistic regression and is utilized for final susceptibility.

Land cover data and geological data are limited in largescale, making it challenging to develop accurate and comprehensive susceptibility maps.

It helps to identify areas with a higher likelihood of experiencing landslides. This information is crucial for assessing the risk posed to human lives, infrastructure and properties in these areas. It allows authorities and stakeholders to prioritize risk management efforts and allocate resources more effectively.

The social implications of a landslide susceptibility map are profound, as it provides vital information for disaster preparedness, risk mitigation and landuse planning. Communities can utilize these maps to identify vulnerable areas, implement zoning regulations and develop evacuation plans, ultimately safeguarding lives and property. Additionally, access to such information promotes public awareness and education about landslide risks, fostering a proactive approach to disaster management. However, reliance solely on these maps may also create a false sense of security, necessitating continuous updates and integration with other risk assessment measures to ensure effective disaster resilience strategies are in place.

Landslide susceptibility mapping provides a proactive approach to identifying areas at higher risk of landslides before any significant events occur. Researchers continually explore new data sources, modeling techniques and validation approaches, leading to a better understanding of landslide dynamics and susceptibility factors.

This paper aims to draw on values theory, associative network theory and schema congruity theory to examine how consumers attribute human-like values to product categories and products, and how these attributions affect product evaluations.

Study 1 randomly assigned 925 respondents to one of three product categories (cars, mobile phones and vacations). They were asked about their values and to attribute values to an assigned product category. Study 2 randomly assigned 919 respondents to one of the four value-expressive car conditions. They were asked to attribute values to the car, and then about their attitudes and purchase intentions.

Respondents attributed human-like values to product categories and products that were distinct and reflected the motivational compatibilities and conflicts inherent in the circular structure of human values. Moreover, multifaceted value congruity effects were found to positively influence attitudes and intentions to purchase a car, including congruity with product category values-schema, consumers’ personal values-schema and the structure of human values.

The authors demonstrate how a cognitive memory-based view can be used to better understand the complexities of the attribution of human-like values to products and product categories. Moving beyond the attribution of brand personality, this study shows the importance of not only understanding the attributions of values to a product but also considering how these attributions interact with the more abstract product category values to influence evaluations.