ARC (Academic Research Collection) (College Dubin)
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359 research outputs found
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Investigating Factors Influencing Changing Consumer Patterns and the Impact on Sales Revenue in the Clothes Department at Marks & Spencer in Dublin, Ireland
Get PDFConstantly changing consumer purchasing behaviours have greatly impacted the sales revenue collection in the clothing department at Marks and Spencer in Dublin. Among the concerns for M&S, is the failure to maintain a constant or predictable sales revenue amount annually due to erratic purchasing patterns among consumers. For organisations such as M&S that depend on growing its sales volumes to realise higher revenues could face challenges due to changing consumer purchasing patterns. As such, it is valid to investigate the factors that influence a changing purchasing pattern among consumers for M&S to increase its sales volumes within the clothes department. The factors investigated in this research include economic uncertainty, an environmentally conscious consumer base, an increasing shift towards casual wear, and the influence of social media marketing strategies shaping consumer decision-making processes. The study sets out the background of the research in the first section followed by a comprehensive review of literature in the second section. The study also outlines the methodology of the research including the study design; the qualitative approach. The results show a general shift towards casual and comfort wear, that there exists a strong correlation between sales revenues and economic conditions, and the growing environmentally conscious customer base can influence sales revenues at M&S. Recommendations outlined are designed to help M&S achieve resilience and to adopt predictive analysis to appropriately respond to fast changing conditions
Investigating the environmental impact of tesla’s electric vehicles compared to fossil fuel vehicles
Get PDFEmphasizing production techniques, emissions, and competitive strategies, this project examines the environmental effects of Tesla\u27s electric vehicles (EVs) relative to conventional internal combustion engine (ICE) automobiles. Leading in the EV market as the automotive sector moves toward sustainable practices is Tesla. Still, evaluating the environmental advantages of Tesla cars calls for a thorough investigation going beyond zero tailpipe pollution. This paper looks at the high energy consumption and environmental effects related to the manufacturing of Tesla batteries including cobalt and lithium mining. Emphasizing less greenhouse gas emissions than ICE vehicles, it also assesses the total emissions of Tesla vehicles over their lifetime. According to the study, although Tesla\u27s EVs greatly lower running emissions, the environmental costs of the energy sources utilized for battery manufacture and charging are rather high. The project also looks at how Tesla\u27s rivalry with local EV producers influences its growth plans and market share, therefore stressing the company\u27s flexible approach including local manufacturing and technological innovation. The results underline the need of ongoing developments in battery technologies and renewable energy integration in order to raise the sustainability of Tesla\u27s EVs. All things considered, this research offers a thorough grasp of Tesla\u27s strategic orientation and worldwide automobile market environmental influence
Macy’s Store Closures: Primary Drivers, E-commerce Impact, and Strategic Responses to Maintain Brand Loyalty
Get PDFThis research explores the economic and technological factors driving the retail giant Macy’s to close physical stores across the U.S. and how these factors also shape business strategies in the retail industry. With the exacerbated rise of e-commerce and economic factors like operational costs, Macy’s has had to reevaluate their approach to remain competitive in this new digital era.
Through the review of existing literature and the chosen methodology for this project that will rely on in-depth interviews with two experienced retail professionals, this project will dive into how retail chains manage the impact of rising expenses, the shift in consumer behavior, and continuous technological advancements.
The findings in this paper will highlight the growing importance of omnichannel strategies, which come in the form of integrating digital platforms with in-store experiences to enhance customer engagement and loyalty, and also, to keep operational efficiency. This research project provides insights into the future direction of retailing in the face of e-commerce disruption
Using Unsupervised Learning Methods in Extracting Features for Classifying Rice Varieties from Rice Grains Images.
Get PDFRice, a staple food for nearly half of the global population, requires accurate classification of its varieties to ensure food quality, support agricultural trade, and enhance yield optimisation. Traditional manual classification methods are time-intensive and error-prone, prompting this study\u27s exploration of unsupervised learning for feature extraction from rice grain images. The research tested classifiers on 75,000 rice samples across five classes, with 15,000 samples per class.
The study\u27s DCGAN-CNN model achieved the highest classification accuracy of 99.67%. However, the PCA-CNN model underperformed, with only 20% accuracy, due to implementation errors. Recommendations for improvement include optimising model parameters such as learning rates, batch sizes, network architecture, and optimisers to enhance performance and reliability.
This research underscores the potential of advanced machine learning techniques for automated and efficient classification of rice varieties, addressing limitations of traditional methods and supporting agricultural advancements
Coopetition strategies: adoption and effectiveness in retail sector.
Get PDFThis study investigates the adoption and effectiveness of coopetition strategies by retail SMEs in countering the perception that large e-commerce platforms threaten their survival. Using a qualitative research methodology and expert interviews, the findings reveal that retail SMEs predominantly adopt horizontal coopetition, such as sharing infrastructure, security services, and group buying. Few engage in platform-based coopetition with large e-commerce platforms. Organisational capability is a key factor influencing the adoption of these strategies, which prove effective in addressing the perceived threat. The study recommends that retail SMEs enhance their organisational capabilities and suggests large e-commerce platforms localise their approaches to better integrate retail SMEs
Changing Nutrition Trends and McDonald’s Product Strategies: The Rise of Plant-Based Products and Their Impact on Consumer Behaviour.
Get PDFThis research explores the influence of McDonald’s plant-based product development strategies on consumer behaviour and brand perception. It highlights the challenges McDonald’s faces when launching plant-based products, particularly in the US, where the desired impact on consumers has not been achieved. The study contrasts this with the success of these products in Europe, where they have enhanced the brand’s sustainability image and contributed to profitability. Additionally, McDonald’s has made strides toward promoting healthy eating by offering plant-based and diet products, while also accommodating cultural and religious sensitivities in its menu localization. The findings emphasise the importance of continuing these strategic approaches for McDonald’s sustained global success
Farm-raised salmon business: an international outline through regulations, environmental issues, and consumer perception.
Get PDFThis research investigates the key challenges faced by the global farm-raised salmon industry, focusing on economic impacts of regulatory differences, environmental sustainability issues, and consumer perceptions of farm-raised versus wild-caught salmon. Using a mixed research approach, including an interview with a professional and a review of existing literature, the study finds a disconnect between salmon companies and their customers, indicating a need for improved marketing strategies. The research also highlights the importance of high environmental standards in production for enhancing competitiveness. Additionally, the adoption of certifications and high production standards can improve consumer acceptance of farmed salmon over wild-caught alternatives
Evaluating McDonald’s sustainability practices: real commitment or greenwashing?
Get PDFThis study critically examines McDonald\u27s sustainability claims and practices, focusing on its greenhouse gas emissions and beef consumption. Through secondary research, the study contrasts McDonald\u27s sustainable initiatives with data from reputable sources and climate institutions. While McDonald\u27s has set a net-zero emissions target for 2050, its position as one of the largest beef buyers, contributing 1-2% of global beef consumption, undermines these efforts. The company’s approach to achieving net-zero emissions is described as vague and unattainable without significant changes to its plant-based menu, agricultural practices, and consumer awareness. The findings highlight a gap between McDonald’s sustainability claims and its operational reality, suggesting greenwashing practices
Investigating Negative Brand Perception and Toxicity in X (Formerly Twitter)
Get PDFThe rapid growth of social media has transformed brand-consumer communication and image management. Among these platforms, X (formerly Twitter) stands out for facilitating real-time interactions and fostering public discourse. While social media provides a powerful channel for engagement, its open and unmoderated nature exposes brands to risks such as negativity, trolling, and toxicity. Recent developments, particularly Elon Musk\u27s 2022 acquisition of X and subsequent rebranding efforts, have heightened these challenges. These organisational changes, including renaming Twitter to X and altering its logo, have sparked mixed reactions from users and brands. This study explores how such drastic transformations impact user activity, brand perception, and trust in the platform within a rapidly evolving digital environment
Facial Recognition using Neural Network
Get PDFFace recognition technology using machine learning and neural networks has become increasingly prevalent in recent years, revolutionizing various fields such as security, law enforcement, and marketing. The development of an AI-based system that can perform face recognition using these technologies has become a significant focus for researchers and developers worldwide. This project aims to create such a system that can recognize and classify faces accurately using machine learning algorithms and neural networks. By leveraging these advanced technologies, the system can learn and improve over time, leading to higher accuracy rates and enhanced performance