Background: Previous research shows that people with dementia seem to experience outdoor environments as positive for their mental wellbeing. There are instances where the availability of such environments is limited, due to the perception that it is unsafe. Aim: The aim was to describe the experiences of the outdoor environment in people with dementia. Method: A systematic literature review containing a descriptive synthesis by Evans was used to analyze and compile the data of 11 articles. Findings: The results of the descriptive synthesis formed two themes and two subthemes, the first was reawakening of latent abilities along with the subthemes reminiscing and affected autonomy. The second was support of human interactions along with the subtheme's social communion and experience of meaningful participation. The result shows a relationship between reminiscing, well-being and self-image while residing outdoors, and how the experience of the outdoor environments changes the self-image for people with dementia. Conclusions: Despite findings that suggest positive benefits in relation to visiting the outdoor environment, the lack of research makes the findings inconclusive. Therefore, more research is needed to confirm the positive influence the outdoor environment has on people with dementia.

Being green has never been as omnipresent as nowadays. Finite resources, growing population, natural resources degradation, and biodiversity loss to name some examples are reasons why major changes towards greener strategies in the economy are needed (Volery, 2015). Although research in the field of sustainable entrepreneurship has increased in the past two decades, no clear definition of ecopreneurship is existing yet. Many different terms are used to describe a similar concept (Gast, Gundolf, and Cesinger, 2017). It is self-explanatory that ecological sustainable entrepreneurship is a subfield of entrepreneurship, but the relation to social entrepreneurship gets blurry. With the help of a systematic literature review and interviews with experts, the question of how ecological sustainable entrepreneurship, which in the following is named ecopreneurship, can be defined as a subfield of entrepreneurship, is answered. The results of the literature review are analyzed with the focus on similarities and differences in definitions and put into context in a concept map to create a new and clearer definition of ecopreneurship. Furthermore interviews with experts in research and the industry are used to verify the newly formed definition and compare the findings in the literature with how researchers and practitioners see the field. Throughout the analysis, the question of how ecopreneurship differentiates from social entrepreneurship, is present. A detailed analysis of the relations between sustainability-related subforms of entrepreneurship brings better insights on how ecopreneurship is linked to social entrepreneurship. In summary defining ecopreneurship is di cult, because some characteristics can be interpreted in many dfferent ways depending on the perspective it is looked at. Findings in the literature are very much in line with how researchers and practitioners see and define the field. Nevertheless, different approaches towards ecopreneurship result in slightly different characteristics of ecopreneurship. This work provides future researchers with a clear defini- tion of what ecopreneurship is and how it is related to concepts like social entrepreneurship, sustainability entrepreneurship and traditional entrepreneurship.

It is crucial for schools and teachers to consider the cultural diversity and various backgroundsof students in education. This is essential to ensure an inclusive and fair learning environment.Students with different linguistic backgrounds may have varying needs in understanding andexpressing mathematical concepts. Teachers should be aware of these differences. The purpose of my study is to carefully examine and analyze existing research on mathematicslearning for multilingual students. By compiling results and conclusions from prior studies andresearch, I aim to provide an overview of the current state of knowledge in this crucial area.I have employed a systematic literature review as the methodology. The selection of studies wasbased on thorough searches across multiple databases. The chosen studies encompass acombination of qualitative and quantitative methods to achieve a broader and more diverseunderstanding of the subject. The study's findings indicate that multilingualism is seen both as a resource and sometimes as achallenge for students' learning. Interaction and communication are crucial in mathematicseducation regardless of linguistic background, necessitating an inclusive environment to supportstudents. The socio-cultural background is emphasized as vital to students' comprehension,requiring teachers to consider and adapt instruction to students' diverse cultural experiences.

Background and Motivation. Requirements engineering is decision intensiveand involves many roles and stakeholders. As humans are often subjective in theirdecision-making and biased by subjective criteria, we are interested in exploring howthis impacts requirements prioritization. Each requirements prioritization techniquehas its advantages and limitations to use on software products for single/multiplepurposes in the software field. Understanding how human aspects affect requirementsprioritization remains greatly unexplored. Objectives. This thesis aims to understand how human factors impact requirementsprioritization. The primary goal is to address and understand the various human as-pects that affect people when they make decisions. The secondary goal is to identifyvarious human aspects that receive more attention while prioritizing requirements. Methods. Systematic Literature Review (SLR) and survey were chosen as the re-search methods for this thesis. A snowballing method was used to extract empiricalresearch papers that were used for implementing the survey questionnaire. Each em-pirical paper from snowballing method has identified some human aspects throughone or more prioritization techniques and prioritization criteria. Using these humanaspects as input a survey questionnaire is designed for gaining insights on occur-rences/experiences of these human aspects in a large organization of Agile practi-tioners. Results. From the literature review, we identified 21 papers through the snow-balling method. And we identified more than two human aspects from each SLRpaper that impact requirements prioritization that were grouped into 11 categories.We also discovered many requirements prioritization techniques and their criteriawhere we included the top 15 RP techniques, 11 human aspects, and 17 RP cri-teria in the web-based survey questionnaire that were extracted through the SLRapproach. Our survey respondents considered the human aspects as very importantare Domain Knowledge of Individuals/ Stakeholders/ Analysts; Ability to consid-er/understand multiple perspectives; Ability to build/reach Consensus; Cognitiveskills and Limitations; Group Cohesion/ Team Maturity; and Accept Diversity as-pects as having the largest impact when prioritizing requirements. We have alsodiscovered that Emotions/ Emotional Cohesion which is also rated by the surveyrespondents as very important and is having the least impact as a human aspectwhen prioritizing requirements. Conclusions. Our study focus on the human aspects in requirements prioritizationmethod, the actual human aspects are least graded and human behavior that is con-sidered as an human aspect is highly graded by the practitioners in the survey. So aclear map is needed to identify the human aspect bias for requirements prioritizationand the results of this study can be helpful to all the researchers who want to carryour research on requirements prioritization in relation with human aspects.

Yes / The unique characteristics of games have led scientific research to increasingly focus on their potential role in learning processes. Currently, their effectiveness in fostering experiential learning and skill acquisition in several areas is already supported by the existing evidence, mainly about the potential of digital games. Paradoxically, the current post-digital era seems to have led to a growing popularity of analogue games. The present Systematic Literature Review aimed to map the existing literature on the potential of board, tabletop, or other analogue games in learning processes. It intended to systematize the contemporary state of the art (2012-2022) around the pedagogical role of these games, their effectiveness, the promoted learning outcomes, the methodological aspects of the interventions, the used games – including mechanics and other characteristics – and the current discussions around inclusion and accessibility in analogue game-based learning. Adopting the PRISMA methodology, we searched ACM Digital Library, EBSCO, ERIC, Scopus - Elsevier, and Web of Science databases, as well as other peer-reviewed “grey literature” sources. The search resulted in an initial sample of 2741 articles that was then screened by inclusion and exclusion criteria previously defined according to the research objectives. We obtained a final sample of 45 articles. To formulate the mapping of existing research, these studies were analyzed using a combination of statistical, content, and critical analysis procedures. The obtained results support the role of board, tabletop, and other analogue games in educational contexts – based on their educational potential – with a broad range of knowledge, cognitive, and psychological outcomes. The study also emphasized the relevance of these games in the promotion of soft skills and other aspects typically associated with meaningful learning, such as engagement, satisfaction, flexibility, and freedom of experimentation. However, important limitations were found in a fair amount of the pedagogical approaches studied, which can be mostly attributed to the low prevalence of modern board games that relate what is intended to be learned to aspects of game design and have little to no consideration of accessibility and inclusion aspects in these studies. / The present work was developed in the scope of the Project Training the Educators to Facilitate the Teaching and Assessment of Abstract Syllabus by the Use of Serious Games – TEGA (2020-1- UK01-KA203-079248), funded by the European Commission on the scope of Erasmus+ Programme. The research team also acknowledges the funding by Fundação para a Ciência e para a Tecnologia (FCT) provided to CICANT R&D Unit (UIDB/05260/2020), on the scope of Verão com Ciência initiative, which allowed the inclusion of a research initiation grant holder as co-author of the present work.

Yes / This paper aims to focus on systematically analysing and synthesising the extant research published on supply chain integration (SCI) area, given the significance of SCI research area. More specifically, the authors aim to answer three questions: “Q1 – What are the factors (e.g. both driving and inhibiting) that influence SCI?”, “Q2 – What are the key developments (e.g. both in research and industry) in SCI area?” and “Q3 – What are the approaches employed/discussed to integrate supply chains?”. Over the past decade, SCI has gained increasing attention in the supply chain management (SCM) context, both from the practitioners’ perspective and as a research area. In realising the global transformations and competitive business environment, a number of organisations are collaborating with their supply chain (SC) partners, to conduct seamless SC operations. A systematic and structured literature review is carried out to observe and understand the past trends and extant patterns/themes in the SCI research area, evaluate contributions and summarise knowledge, thereby identifying limitations, implications and potential directions of further research. Thus, to trace the implementation of SCI practices, a profiling approach is used to analyse 293 articles (published in English-speaking peer-reviewed journals between 2000 and 2013) extracted from the Scopus database. The Systematic Review Approach proposed by Tranfield et al. (2003) was followed to analyse and synthesise the extant literature on SCI area. The analysis presented in this paper has identified relevant SCI research studies that have contributed to the development and accumulation of intellectual wealth to the SCI and SCM area. Each of the 293 papers was examined for achieving the aim and objectives of the research, the method of data collection, the data analysis method and quality measures. While some of the papers provided information on all of these categories, most of them failed to provide all the information, especially for Q2 and Q3 that resulted in 23 and 21 papers, respectively. This study would have benefited from the analysis of further journals; however, the analysis of 293 articles from leading journals in the field of operations and SCM was deemed sufficient in scope. Moreover, this research has implications for researchers, journal editors, practitioners, universities and research institutions. It is likely to form the basis and motivation for profiling other database resources and specific operations and SCM-type journals in this area. This systematic literature review highlights a taxonomy of contextual factors driving and inhibiting SCI for researchers and SC practitioners to refer to while researching or implementing SCI. It also exemplifies some areas for future research, along with the need for researchers to focus on developing more practical techniques for implementing SCI and improving organisational performance. The prime value and uniqueness of this paper lies in analysing and compiling the existing published material in relation to Q1, Q2 and Q3, including examining other variables (such as yearly publications, geographic location of each publication, type of publication, type of research methods used), which lacks in the recent published five SCI literature review-based articles (by Kim, 2013; Leuschner et al., 2013; Alfalla-Luque et al., 2013; Parente et al., 2008; Fabbe-Costes and Jahre, 2007). This has been achieved by extracting and synthesising existing publications using “Supply Chain Integration” keyword. This paper provides a critique of the conceptual and empirical works in SCI discipline and offers research agendas that can stimulate future researchers to carefully explore the topic.

Yes / The evolving field of disruptive technologies has recently gained significant interest in various industries, including agriculture. The fourth industrial revolution has reshaped the context of Agricultural Technology (AgriTech) with applications of Artificial Intelligence (AI) and a strong focus on data-driven analytical techniques. Motivated by the advances in AgriTech for agrarian operations, the study presents a state-of-the-art review of the research advances which are, evolving in a fast pace over the last decades (due to the disruptive potential of the technological context). Following a systematic literature approach, we develop a categorisation of the various types of AgriTech, as well as the associated AI-driven techniques which form the continuously shifting definition of AgriTech. The contribution primarily draws on the conceptualisation and awareness about AI-driven AgriTech context relevant to the agricultural operations for smart, efficient, and sustainable farming. The study provides a single normative reference for the definition, context and future directions of the field for further research towards the operational context of AgriTech. Our findings indicate that AgriTech research and the disruptive potential of AI in the agricultural sector are still in infancy in Operations Research. Through the systematic review, we also intend to inform a wide range of agricultural stakeholders (farmers, agripreneurs, scholars and practitioners) and to provide research agenda for a growing field with multiple potentialities for the future of the agricultural operations.

Yes / The use of Artificial Intelligence (AI) in Digital technologies (DT) is proliferating a profound socio-technical transformation. Governments and AI scholarship have endorsed key AI principles but lack direction at the implementation level. Through a systematic literature review of 59 papers, this paper contributes to the critical debate on the ethical use of AI in DTs beyond high-level AI principles. To our knowledge, this is the first paper that identifies 14 digital ethics implications for the use of AI in seven DT archetypes using a novel ontological framework (physical, cognitive, information, and governance). The paper presents key findings of the review and a conceptual model with twelve propositions highlighting the impact of digital ethics implications on societal impact, as moderated by DT archetypes and mediated by organisational impact. The implications of intelligibility, accountability, fairness, and autonomy (under the cognitive domain), and privacy (under the information domain) are the most widely discussed in our sample. Furthermore, ethical implications related to the governance domain are shown to be generally applicable for most DT archetypes. Implications under the physical domain are less prominent when it comes to AI diffusion with one exception (safety). The key findings and resulting conceptual model have academic and professional implications.

Context. Reports suggest that defects in code cost the US in excess of $50billion per year to put right. Defect Prediction is an important part of Software Engineering. It allows developers to prioritise the code that needs to be inspected when trying to reduce the number of defects in code. A small change in the number of defects found will have a significant impact on the cost of producing software. Aims. The aim of this dissertation is to investigate the factors which a ect the performance of defect prediction models. Identifying the causes of variation in the way that variables are computed should help to improve the precision of defect prediction models and hence improve the cost e ectiveness of defect prediction. Methods. This dissertation is by published work. The first three papers examine variation in the independent variables (code metrics) and the dependent variable (number/location of defects). The fourth and fifth papers investigate the e ect that di erent learners and datasets have on the predictive performance of defect prediction models. The final paper investigates the reported use of di erent machine learning approaches in studies published between 2000 and 2010. Results. The first and second papers show that independent variables are sensitive to the measurement protocol used, this suggests that the way data is collected a ects the performance of defect prediction. The third paper shows that dependent variable data may be untrustworthy as there is no reliable method for labelling a unit of code as defective or not. The fourth and fifth papers show that the dataset and learner used when producing defect prediction models have an e ect on the performance of the models. The final paper shows that the approaches used by researchers to build defect prediction models is variable, with good practices being ignored in many papers. Conclusions. The measurement protocols for independent and dependent variables used for defect prediction need to be clearly described so that results can be compared like with like. It is possible that the predictive results of one research group have a higher performance value than another research group because of the way that they calculated the metrics rather than the method of building the model used to predict the defect prone modules. The machine learning approaches used by researchers need to be clearly reported in order to be able to improve the quality of defect prediction studies and allow a larger corpus of reliable results to be gathered.

En psykossjukdom medför att perceptionen av världen och andra människor förändras. Patienter med en psykossjukdom upplever sig ha sämre livskvalitet och hälsa än andra individer i samhället och de upplever ofta lidande på grund av sin sjukdom. Sjuksköterskor upplever blandade känslor i samband med vård av patienter med en psykossjukdom, men deras grundläggande uppgift är trots detta att främja hälsa, förebygga sjukdom, återställa hälsa och att lindra lidande. Syftet med denna studie är att belysa hur patienter med en psykossjukdom upplever vården på en psykiatrisk slutenvårdsavdelning, ur ett patientperspektiv. Studien är en systematisk litteraturstudie och data analyserades med en induktiv latent innehållsanalys. Resultatet visade att patienternas upplevelser kan beskrivas i fyra områden: rädsla och osäkerhet påverkar interaktionen med andra; tvångsåtgärder: skrämmande men nödvändiga; självbestämmande, delaktighet och välbefinnande; samt vårdpersonalen är avgörande för patienternas upplevelser. I studien diskuteras rädsla och osäkerhet; att vårdpersonalen och upplevelserna påverkar attityden till behandlingen; vårdpersonalens betydelsefulla roll när patienten har svåra symtom; individualiserad vård och god kommunikation bidrar till ökat välbefinnande samt att mer kompetens hos vårdpersonal kan minska bruket av tvångsåtgärder. Studiens slutsats är att sjuksköterskor har en central roll i patienternas upplevelse av vården. De har ansvar för att interaktionen med patienten och relationsbyggande fortlöper samt att användandet av tvångsinsatser motiveras och enbart sker när det är absolut nödvändigt, annars finns risk att behandlingsresultat och följsamhet av behandling efter utskrivning påverkas negativt. / A psychosis means that the perception of the world and other people change. Patients with a psychotic disorder perceive themselves as having poorer quality of life and health than other individuals in the community and they often experience suffering because of their illness. Nurses experience mixed feelings while caring for patients with a psychotic disorder, but in spite of this a nurse’s fundamental duty is to promote health, prevent disease, restore health and to alleviate suffering. The purpose of this study is to highlight how patients with a psychotic disorder experience health care in a psychiatric inpatient ward, from a patient perspective. The study is a systematic literature review and data were analyzed using an inductive latent content analysis. The results showed that patients 'experiences involved four areas: fear and insecurity affects the interaction with others; coercive measures: scary but necessary; autonomy, participation and welfare, and nursing staff is crucial for patients' experiences. In the study, several areas were discussed about the patient's experiences: fear and insecurity; that care staff and experiences affect the attitude to treatment; healthcare personnel's important role when the patient experience severe symptoms; individualized care and good communication contribute to increased well-being, and that more skills in healthcare professionals can reduce the use of coercive measures. The study's conclusion is that nurses have a central role in the patients' experience of the health care. They are responsible for the interaction with the patient and for keeping the building of the nurse-patient relationship in progress. They are also responsible so that the use of coercive action is justified and only occurs when it is absolutely necessary, otherwise there is a risk that the treatment results and adherence to treatment after discharge are adversely affected.