Welcome to DBS eSource

DBS eSource is an online service hosting full content materials produced by Dublin Business School staff and students. It contains the full text of articles, theses, conference papers, book chapters and more. DBS eSource is an open access repository, with the aim of making all content as widely accessible as possible. Use the Browse functions on the right for an overview of relevant materials. For an advanced search click here

Recent Submissions

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    Factors related to employee commitment towards their roles in the Nigerian banking industry
    (Dublin Business School, 2024) Olagundoye, Ifeoluwa; Tawiah, Vincent
    This study investigated the factors related to employee commitment towards their roles in the Nigerian banking industry, focusing on job characteristics, organisational culture, and infrastructural support. The banking industry in Nigeria faces challenges in maintaining high levels of employee commitment, which is critical for organisational success and employee well-being. Understanding the factors influencing commitment can aid in developing strategies to enhance employee engagement and performance. A quantitative approach was employed, utilising an online Google Form survey to collect responses from employees of Access Bank Plc and Kuda Microfinance Bank. Descriptive statistical analysis and correlation testing were conducted to analyse the relationships between job characteristics, organisational culture, infrastructural support, and employee commitment. The study revealed significant findings regarding the influence of job characteristics, organisational culture, and infrastructural support on employee commitment. Clarity of job roles, meaningful work, autonomy, feedback, recognition, alignment with organisational goals, and positive organisational culture were identified as key drivers of employee commitment within the study banking organisations. Other drivers of employee commitment revealed by the study include adequate resources, technological support, training opportunities, conducive workspace, and supportive relationships. This study contributes to the existing literature by providing insights into the specific factors that influence employee commitment in the Nigerian banking sector. The findings offer practical implications for organisational leaders and HR practitioners to develop strategies aimed at improving employee engagement, satisfaction, and performance. In conclusion, this study emphasises the importance of addressing job characteristics, organisational culture, and infrastructural support to enhance employee commitment in the Nigerian banking industry. Future research directions could explore longitudinal studies, qualitative methods, and broader organisational samples to further understand and optimise employee commitment dynamics.
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    To review the Impact of Brexit and the COVID-19 pandemic on logistics in the sourcing of marble for the luxury commercial development sector in Ireland, specifically tier-three construction firms
    (Dublin Business School, 2024) Linehan, David; Duff, David
    This dissertation critically evaluates the dual impact Brexit and the COVID-19 pandemic had on the sourcing of marble for the luxury commercial development sector in Ireland, specifically on tier-three construction firms (for which the vast majority of construction firms in Ireland fall within). The direct impact of both the geopolitical fallout from Brexit and the health crisis induced by COVID-19 had on the macroeconomic environment for tier three Irish construction companies in sourcing marble resulted in complexities around new trade barriers, uncertainties disrupting established supply chains, changes to governmental policies brought about in rapid succession due to successive lockdowns, global lockdowns worldwide, labour shortages, amongst others. This study employs a qualitative research approach providing valuable insight from industry leaders within three construction companies utilising semi-structured interviews conducted with mid to senior management and subsequent findings analysed, intending to paint a comprehensive picture of these impacts. The research revealed a significant strain on tier-three construction firms during this period. Negotiating powers of these firms were impacted due to market fluctuations and volatility brought about by Brexit and COVID-19. It revealed the strategies adopted by these firms including diversification of supply sources, employing procurement specialists as a means to mitigate against these market events. The findings contribute to a deeper understanding of the resilience and adaptability of smaller players in the construction sector facing global challenges and offers insights into potential policy and managerial responses to mitigate such impacts in the future. In conclusion, the research served as a microcosm for studying the broader implications of global disruptions on niche supply chains such as marble, providing valuable lessons in adaptability and strategic foresight in an increasingly unpredictable global market and highlights how these firms can learn lessons to adapt in a post-Brexit and post pandemic world.
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    A quantitative study on adopting robotic process automation as a technology tool in the manufacturing enterprises of Ireland
    (Dublin Business School, 2024) Kumar, Madala Bala Naveen; Magableh, Basel
    The main aim of this study is to examine the UTAUT factors affecting Individuals' Behavioral Intentions to adopt RPA Technology and user behavior in the Manufacturing Enterprises of Ireland. This research was quantitative, and Questionnaires were used throughout the study to collect information from participants. The study's target audience was 150 employees in the manufacturing business who understand how to use Robotic Process Automation (RPA) to streamline labor-intensive production activities. The participants were selected based on the convenience sampling technique. The statistical analysis application SPSS was used to analyze the data for the investigation. The results indicated that there was a significant impact of performance expectancy, facilitating conditions on Individuals' Behavioral Intentions to adopt RPA Technology, social influence, and effort expectancy on Individuals' Behavioral Intentions to adopt RPA Technology, and there was also a significant relationship between Individuals' Behavioral Intentions to adopt RPA Technology and user behavior.This study guides future researchers on various approaches to identify the key aspects to consider while implementing and utilizing RPA technology.
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    A study on assessing the integration of Artificial Intelligence (AI) on risk management practices within the Information Technology industry in India
    (Dublin Business School, 2024) Pallan, Noel Anto; Magableh, Basel
    The study investigates risk management practices within the Information Technology (IT) industry in India, focusing on the roles of AI adoption, organizational culture, technological infrastructure, and regulatory compliance. Through rigorous analysis including reliability testing, demographic examination, descriptive statistics, correlation analysis, and multiple regression modeling, the research uncovers insights into the complex dynamics of risk management in the Indian IT sector. Key findings reveal the transformative impact of AI adoption on risk management effectiveness. Organizations investing in AI-powered solutions demonstrate higher levels of risk management efficacy, aligning with global trends in AI adoption for business optimization and resilience. Additionally, organizational culture emerges as a crucial determinant of risk management outcomes, with cultures fostering innovation, collaboration, and risk-awareness exhibiting more robust practices. Moreover, the study highlights the pivotal role of technological infrastructure in shaping risk management practices. Organizations with robust, flexible, and compatible infrastructures are better equipped to implement and sustain effective strategies. Regulatory compliance also emerges as a significant driver, with adherence to data privacy regulations positively influencing risk management effectiveness. Based on these findings, recommendations are provided to enhance risk management practices within the Indian IT industry. These include increasing investment in AI-related initiatives, fostering innovation and collaboration, prioritizing investments in data security and governance, and staying abreast of regulatory changes. Additionally, suggestions for further research are outlined, such as longitudinal studies on the effects of AI adoption and comparative analyses across different industry sectors and regions. As a conclusion, the study offers valuable insights for stakeholders in the Indian IT industry to inform strategic decision-making processes and initiatives aimed at strengthening risk management capabilities, organizational resilience, and regulatory compliance.
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    Unveiling customer sentiments in fast fashion: A comparative analysis of customer reviews, recommendations, and ratings
    (Dublin Business School, 2024) Oyeku, Taiwo; Kenny, Andrew
    The fast fashion industry has evolved significantly, driven by globalization, technology, and changing consumer preferences. Online shopping has become prevalent, enabling fast fashion brands to reach customers globally. Understanding customer sentiments is essential for fast fashion brands to stay competitive and meet evolving customer expectations. This study aims to analyze customer sentiments in the fast fashion industry using a real-world dataset. The research involves feature engineering, sentiment analysis, topic modelling, customer profiling, and dashboard creation. The findings revealed that positive sentiments dominate, with customers expressing satisfaction with products and services. Common topics include fashion focus, customer preferences, quality, and price. The study provides valuable insights for fast fashion brands to tailor their offerings, enhance customer satisfaction, and drive loyalty. Future research could explore building an advanced dynamic dashboard incorporating topic modelling and personalization strategies to further improve customer engagement and brand loyalty in the fast fashion industry.