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Be yourself to feel good: The influence of trait authenticity on subjective well-being
No full textAuthenticity is a significant element of well-being. The current research aimed to examine whether components of subjective well-being are predicted by the subdimensions of trait authenticity. Another objective of the study was to test whether well-being affects authentic living. Psychologically validated self-report questionnaires were employed in an online survey form to measure trait authenticity and three subcomponents of well-being namely, self-esteem, positive affect and subjective vitality. The present quantitative research applied cross-sectional and correlational design to test the predictive role and the relationship between the variables. The population of the study (N=120) are partially students and were recruited by non-probability, convenience and snowballing sampling. Received data does not fully support the predictive role of trait authenticity on subjective well-being. However, self-alienation, a subdimension of authenticity, seems to negatively predict self-esteem and vitality. The study opened a conversation on the definitional and compositional issues of authenticity and well-being
Multi-class image classification of fruits and vegetables using transfer learning techniques
No full textThe need for an e cient fruit and vegetable identi cation and classi cation is always important
and bene cial for not only the agricultural department or food processing industry,
but also to the low level retail stores and supermarkets where fruits and vegetables are
sold. Building an e cient automated tool is very much required. In order to build this
application, an e cient and e ective classi cation model has to used, which can classify
1000's of fruits and vegetables in seconds. The purpose of this study is to nd the best
classi er model which can be used to build this automated application. While many advancements
have been made in recent years, many methods still struggle from prolonged
training and testing time and even signi cantly more number of false positives after classi-
cation. Thereby, in this paper, a review and experiments on 7 di erent available transfer
learning models such as VGG16, ResNet50, MobileNet, DenseNet, InceptionV3, xception
and InceptionResNet is conducted and compared by there accuracy, precision, F1 Score
and training time, so that an e ective and e cient automated classifying system can be
built in future. Along with this, a self-designed CNN model is trained and tested. The
experiments are conducted using Fruit 360 dataset of 120 classes. Initial phase of this
study involves training the models using subset of the dataset with 21 classes. VGG16
and ResNet50 are resulted as top 2 models. Thereby, the later phase of the experiment is
conducted on these two models on the whole dataset with 120 classes. The overall results
show VGG16 is the best model with 99% of training accuracy and 95% of testing accuracy
Customer perception of subscription based loyalty programmes in Ireland
No full textThe aim of the research was to examine how customers perceive subscription based loyalty programmes and if it influences their behaviour in respect to frequency of visits, increase spend during these visits or social status with a secondary objective to find their expectations for such programmes. The research design was descriptive and cross-sectional which used a quantitative research methods. There were 85 participants and the survey method was used for data collection which captured basic demographics, loyalty programme membership, perceptions and expectations. The results showed that the respondents mostly perceived economic value, and a strong influence on their purchase behaviour, while only perceiving little interactional value and no psychological value. Results also showed the importance of price, a high preference for cash rewards and immediate reward timing where expectations were concerned. The findings were discussed and the implications for academia as well as applications for business practice were detailed
A sense of sexual community and history across time: Irish Queer and LGBT archives
No full textThis study examines the status of LGBTQ+ archives in Ireland, conducting qualitative semi-structured interviews with 4 people involved in such archives, in various capacities over several years; founding and maintaining archives, negotiating partnerships with state institutions and continuing to consult with these, or working within institutions, where there have been efforts to expand upon collections or initiate projects to increase LGBTQ+ representation. The results illustrate difficulties encountered by community archives, often volunteer-run and lacking resources, and the value of creating networks locally and internationally, to develop practices and establish models for access and preservation. Findings also reveal frictions that can result from community archives entering relationships with institutions, highlighting a need for continued engagement to avoid misrepresentation and misinterpretation, and ensure continued accessibility, while also identifying limitations within institutions themselves. The results were analysed in the context of a literature review which examined the experiences of such archives in other countries. The research expands the knowledge and understanding of the experiences of LGBTQ+ archives in Ireland
Key factors of online advertising that influence the buyer’s decision of Generation Z
No full textOnline advertising is an essential element of the todays marketing communications. Throughout the different generations of the world there have been significant trends and tremendous research has been put into this area especially where Generation Z is concerned. This research evaluates the different factors that affect the buying decision of individuals of Generation Z and a comparative analysis is also performed with the individuals of Generation X and Y too. The research explores how online reviews, sponsored user generated content and brand image has an impact on the buying decisions of Generation Z and how they act differently towards it when compared to the older generations. Furthermore interaction of gender and buying decisions of Generation Z is also analysed. A total of 100 responses was completed from individuals across different generations collected through an online survey. Data collected explores the different aspects of online advertisements and the factors as per literature which covered areas of online advertisements arena, eWOM, purchase decisions and intentions, social media background and the role of online communities, online reviews and brand image on buying behaviour of Generation Z specifically. This knowledge greatly helps the marketer through varied array of practical implications in today’s world. From the findings it can be concluded that Generation Z indeed have inclinations though which they decide upon buying a product that other generations might or might not be affected giving rise to different trends of online purchasing and behaviour
An exploration of the impact of completed client suicide on a psychotherapist
No full textGlobally, suicide is responsible for hundreds of thousands of deaths every year. It is a profoundly
disturbing event for all affected, including the psychotherapist. In this paper, the author seeks to
explore the consequences of such an event on the psychotherapist. The psychotherapists grief can
be complex. They are not mourning a friend or family member, however, the psychotherapeutic
relationship can foster deep connections between the client and the psychotherapist. Studies have
shown that the psychotherapist may experience feelings of grief, anger and guilt. They react
initially, in much the same was as family and friends of the deceased. However, they may
simultaneously experience a professional reaction to a clients completed suicide which may result
in feelings of self doubt and inadequacy. In addition, their grief may be disenfranchised which can
further complicate the healing process. Following a completed client suicide, the psychotherapists
current and future therapeutic relationships may be affected. A psychotherapist may be fearful of
experiencing a second client suicide and therefore, adjust their practice accordingly.
Countertransference issues may arise, and have the potential to impact considerably, the efficacy of
the psychotherapeutic relationship. Most concerning however, is the lack of literature and studies
describing any indications that the psychotherapist is ready to resume their practice with clients.
Similarly, the literature also highlights a lack of concrete coping mechanisms for the
psychotherapist in the wake of a completed client suicide. While some coping mechanisms have
been identified, and certainly play a role in sustaining the psychotherapist, it appears that further
research in this area may be needed
Machine learning chatbot for education search purpose in Dublin
No full textThis dissertation is about an artificial intelligence chatbot which act as a virtual assistant for the students who are looking for education in Dublin. In real-world scenario a student register in a foreign education agency to pursue education in abroad. Many a time it was observed that the education counsellor could not give adequate amount of time in guiding the student either due to shortage of time or lack of knowledge. Consequently, it becomes a hurdle in admission process and for applying student visa. In order to remove this hurdle the dissertation contribute a conversational bot to assist students regarding education search and information related to any institutions or universities in Dublin. The conversational bot was been developed in Python programming language using machine learning algorithm and natural language processing. According to the participants in user evaluation test the voice feature in bot makes more interactive for communication
Impact of Amazon cloud service in retail industry of Ireland
No full textThe cloud computing services have the proficiencies for enhancing the proficiencies of the retail business process in Ireland. The purpose of the study is to analyze the influence of Amazon cloud service for developing the share of benefit in Irish retail industry. Additionally, the study explores and analyses the importance of Amazon cloud computing services for developing the purchasing intention of consumers. Amazon web services are considered as one of the important cloud platforms that helps a company for attracting the potential consumers. In terms of the study, both quantitative and qualitative data collection methods will be selected for identifying the essential information related with the cloud computing service in Irish retail industry. Findings section of the study defines and analyses about the problems related with the application of cloud computing services in retail organisation. Further, it is noted that the involvement of skilled employees can develop the potentiality of cloud computing service and retail busines
Performance appraisal implementation in the Nigerian banking sector and its impact on employee motivation
No full textThere is ongoing discourse in management circles that the potential of performance appraisal to increase levels of employee motivation is impeded by inefficiencies in the system. These inefficiencies have been largely linked to line manager involvement in the implementation process. This study investigates the impact of performance appraisal implementation on employee motivation. The study was qualitative, and involved interviews with three line managers in Nigerian banks. Results showed that whilst there are inefficiencies in the system which are sometimes engineered by line managers, the involvement of managers also has a significant effect in motivating employees to higher performance. The results also showed that there is a gulf between HR managers and line managers in implementing performance appraisal and this is partly responsible for the errors caused by line managers. Consequently, it is recommended that organisations promote collaboration between HR managers and line managers towards enhancing the effectiveness of the system
Prediction of residential energy consumption using machine learning techniques
No full textThe research was based on the prediction of electricity consumption for household buildings from 16 U.S. states. The data collected was the energy consumed by 12083 households for a period of 6 months in the year 2009. The prediction was done for 3 class, 5 class and 10 class classifications. The CRISP DM standard was followed in the process of getting valuable insights from the data obtained. With the help of feature selection methods, we were able to select the important features for prediction and giving better results. An ensemble learner was proposed which had KNN, MLP Classifier and RF algorithms as base learners and XGBoost as meta learner. Classification accuracy and Confusion metrics were used as the evaluation metrics. The results were compared with the response obtained from the algorithms separately and with the result of Gradient boosting. Gradient boosting was found to give higher than other models