3830 research outputs found
Sort by
Exploring medical professionals experiences and perceptions of shaming and stigmatisation in patients that are overweight/obese
No full textObesity levels are increasing at an alarming rate and presents tremendous threat to the general population. Being overweight or obese can have multiple negative psychological consequences on well-being and health. The development of weight stigmatisation and shaming amongst healthcare professionals is also growing at a significant rate and can contribute to the negative psychological impact. Through research it has been found that healthcare professionals’ inertia to engage with individuals who are overweight or obese is related to the increasing levels of obesity. The aim of this qualitative study was to investigate the healthcare professional’s experiences and perceptions of stigmatisation and shaming of individuals who are overweight/obese. Various themes emerged from the interviews such as the anti-fat attitudes from healthcare professionals and potential strategies to reduce stigmatisation. Overall, healthcare providers aim to provide the highest level of healthcare to all and to tackle the rate obesity must reduce their levels of patient stigmatisation
The contribution of the Brazilian community to the Irish hospitality sector in the last five years
No full textThis paper analyses the economic, social, and political factors leading to the mobility of labour and the capital in the Republic of Ireland over the last five years. Specifically, the research will focus on the increase of Brazilian community in Ireland and the contribution it has made to the Irish Hospitality industry and its expansion. Furthermore, it explores hospitality as the leading sector amongst immigrant’s employability. However, it can be said that people currently working in jobs of lower skill requirement have experience or qualifications in other areas. The aim of this research is to understand through professional recruiters with experience and insight into the Brazilian community, what the barriers are that need to be overcome in order to relocate these professionals into jobs that match their specific skillset and professional qualifications to Irish labour market. Additionally, it will be made a collection of data from Brazilian immigrants across the Republic to understand their vision and ambitions in relation to professional career prospects in Ireland
Connecting and empowering library publishers: an international knowledge exchange
No full textConference report on IFLA Special Interest Group on Library Publishing Mid-Term Conference, Oslo Metropolitan University, Norway, March 5th - 6th 2020.Dublin Business SchoolCCT College Dubli
The rise of cosmetic procedures: The role of body esteem, social comparison, gender and social media use
No full textCosmetic procedures are growing rapidly in popularity each year. The aim of the current study was to investigate whether body-esteem, social comparison, gender and social media addiction were predictors of wanting a cosmetic procedure. One hundred and fifty-six participants filled out a questionnaire. The study was of a quantitative correlational design. Statistically reliable scales were used. Participants were asked how likely they would be to undergo a cosmetic procedure. Results indicate that low body-esteem, negative social comparison and high social media addiction predicted higher levels of a desire for a cosmetic procedure. Additionally, females were more likely to want a cosmetic procedure than males, on average, and females with low body-esteem were more likely to have negative social comparison. This study suggests that there may be underlying influences as to why people undergo cosmetic procedures, theoretical implications are discussed within
Identification of ways in which brand image gets impacted due to online advertisements adopted by an organisation: a case study of Zara
No full textThe main aim of the research is to identify the ways in which the brand gets influenced due to the online advertisements of Zara. For analysing the objectives developed thereon, correlational design, positivism paradigm and deductive approach were used in the study. Online survey was conducted by making collecting information from 100 Zara customers from Ireland. These customers were selected using convenience sampling method. Quantitative research analysis was applied for performing statistical analysis on the data obtained.
The results clearly indicated that except social media advertisements and video advertisements of Zara the other online advertisements, search engine advertisement, display advertisement, email advertisements and online advertisements using mobile applications did not have an influence over customers and nor did it attract the customers. Social media and video advertisements only some influenced the customers and some did not. All the online advertisements help in improving Zara’s brand image. All the online advertisements of the fashion retailer apart from email advertisements have an influence on customer purchase intention. Brand image perceived by the male and female customers do not vary. Customer purchase intention of Zara’s customers however, varies based on gender. It is being recommended for Zara to focus on online advertisements that would enable it to improve brand image and customer purchase intention
Challenges faced by project team during digital transformation in a service based IT organisation
No full textDigital transformation in project team can be described as incorporation of emerging or digital
technologies in the organisation, significantly changing the way how organisation works and
adding value to the customers. Many of the organisation are yet to implement digital
technology in their project teams while the organisation that has already implemented
digitalisation is innovating tools to reduce employee efforts and increase efficiency. This
research study was undertaken with the aim to identify the challenges faced by the project team
during the implementation phase. Interviews and online questionnaires were conducted to
measure the knowledge/skill gap, critically identify the challenges and finally formulate better
practices for the future project team that will implement digitalisation. The key characteristics
of the business models derived from this study are represented through innovative strategies
and plans a project team can adopt during the implementation by validating against the
initiative from the renowned IT organisation
Academic procrastination: the role of self-regulation, anxiety, internet use and gender
No full textThe aim of this study was to examine the roles self-regulation, anxiety, internet use and gender play in academic procrastination. Participants were male and female undergraduate students (N = 97) from various courses and colleges who completed a self-report questionnaire containing both quantitative and qualitative questions. The analyses revealed that self-regulation was negatively correlated with academic procrastination, while internet use had a positive correlation with it. No significant correlation was found between academic procrastination and anxiety. Neither was there a significant difference between males and females in academic procrastination levels, or any of the other variables. Self-regulation was found to have a significant negative relationship with internet use. A weak positive correlation as found between internet use and anxiety. Limitations of the current study as well as some possible avenues for future research were discussed. Academic procrastination is a serious, widespread problem for millions worldwide and so requires ongoing research
Impact of seasonal promotion on customer satisfaction in e-commerce industry
Get PDFThe aim of the research was to analyse the impact of e-commerce firms’ seasonal promotions on the satisfaction level of customers. Correlation design was used for identifying the relationship between the variables. Positivism philosophy, deductive approach and quantitative data analysis was used. 50 online customers were selected using purposive sampling.
The results of the study are the seasonal promotions are important for improving brand awareness and to influence purchase decision of customers. E-commerce firms providing free samples of products and gift cards are not effective. Combo discount pricing, flash sales promotions, gift cards and return policy have a significant impact on customer purchase intention. Free shipping offers and regular discounts do not have a major level of impact on customer satisfaction level. On the other hand, free samples, cash back offers, conducting contests for customers and limited period discounts do not have an influence on customer’s purchase intention
Diagnosing heart problem using machine learning
No full textThe main part of the metabolism in the case of the human body is the requirement of the oxygenated blood so that the process can be complete. In the result of the metabolism, the wastes and the deoxygenated blood needs to be pumped out from the different organs present in the body so that the human body can sustain the process of living. Heart being the pumping organ of the body, not only supplies the oxygenated blood to the different parts of the body but also removes the wastes and the deoxygenated blood. Hence, to take the proper care of the heart the regular check up is very important. There can be many reasons which can be due to genetic history and some of the acquired habits that can result in an adverse effect to the heart. There has been a subsequent amount of research works that takes into the account the prediction of the well being of the human heart.
In this research we have analysed around 1095 patient cases and tried to identify the important risk factors that can be a primary reason for the heart problems. This research work tries to present a work that can be an immediate step to find a probability score for the heart problem. The different risks factors are those which can be the primary reason for the occurrence of the heart problem. In this research we have analysed different classification models to identify the heart problem. The data collected is from five different cities in India and from different age groups. The primary aim of such activity is to present a transparent solution which can help the patient to know statistically whether there is any probability of happening of any heart problem.
This solution is in fact not a replacement for a medical practitioner but rather aiding some help in the diagnostic process of any doctor. This in order creates a transparency in the treatment between a doctor and a patient. The model is checked with the number of False Positives and the False Negative that the model performed and based on that the best algorithm is selected for the prediction