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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    Forecasting inflation rates in Turkey with Linear Regression, SARIMA, and LSTM
    (Dublin Business School, 2023-08) Ayan, Can; Heikki Laiho
    Turkey, categorized under emerging economies, has seen fluctuations in its inflation rates, which have recently been notably high. This prompts the need for robust estimation models that can accurately predict inflationary trends. This study aims to contribute to the existing literature by testing and comparing three distinct inflation forecasting models; multilinear regression, SARIMA, and Long Short-Term Memory (LSTM) in the context of Turkey between 2004 and 2023. By contrasting these models with the CBRT's median market participant survey, and using Root Mean Square Error (RMSE) for model evaluation, the study seeks to identify the most accurate model for predicting inflation in Turkey. The outputs of these study shows that usage of SARIMA and LSTM models together outperforms than the individual models and the benchmark survey. Individual level, SARIMA were performed better to capture extreme fluctuations in time series than others.
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    A Qualitative Investigation into Causes of the Failure of Necessity-driven Retail Micro-SMEs in Harare, Zimbabwe
    (Dublin Business School, 2023-08) Murape, Onward; Heikki Laiho
    Business failure is a topical issue in academic circles as it represents the negation of the desired good which is business survival, growth, and contribution to the economy. It gains greater currency when the concerned ventures are necessity-based as they partly constitute the bracket of biggest contributors to economies. With a particular focus on retail ventures, this study aims to establish why failure is happening in this sector. Through a qualitative study that employed semi-structured interviews and thematic analysis to collect and interpret the data, the analysis showed that a combination of 12 factors is precipitating the failure of these ventures. These are ignorance of trends, lack of collaboration with competitors, lack of business and management skills, lack of strategy, lack of creativity, high operational costs, market saturation, low demand, economic stability, competition, and restrictive legislation. These factors show that the concerned retailers fall short of being true entrepreneurs.
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    Impact of Artificial Intelligence (AI) on Auditing Intelligence
    (Dublin Business School, 2023-08) Kemuma Ondeyo, Rachel; Heikki Laiho
    This research study investigates the multifaceted impact of artificial intelligence (AI) on auditing intelligence. The rapid advancements in AI technology empower auditors with tools for processing and analyzing extensive data, enhancing audit quality. Adapting to AI's prevalence is crucial, considering its potential impact on the auditing profession. However, integrating AI comes with challenges such as data privacy, security, and ethics. AI's potential in enhancing risk assessment and fraud detection is noteworthy. Collaboration between human auditors and AI tools is crucial for responsible integration. The study employs qualitative methods, including in-person interviews, to gather insights from participants. In conclusion, AI's impact on auditing intelligence is profound, enhancing efficiency, but challenges like ethics persist. Collaboration between human auditors and AI tools is essential for navigating the evolving landscape and fostering improved audit quality, efficiency, and ethical practices. Harmonizing technology and ethics ensures a successful future for the auditing profession.
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    Differences of Attitude towards Eco-friendly Products in Ireland between Generations from Gen Z to Baby Boomer
    (Dublin Business School, 2023-08) Bolgi, Melisa; Juan Fravega
    In Ireland, opinions regarding eco-friendly products are examined and compared among several generational groups, including Generation Z, Millennials, Generation X, and Baby Boomers. The study intends to comprehend differences in attitudes, preferences, and intentions regarding eco-friendly items among various generations by a quantitative cross-sectional survey. The main research topics look at attitudes, the perceived value of eco-friendliness, what influences green purchases, and how people perceive their own environmental responsibilities. To guarantee thorough representation, the sample of 400 participants, who represented various age groups, was purposefully chosen and stratified. The findings suggest that consumers of all ages have a favorable attitude toward environmentally friendly items, with younger cohorts demonstrating a greater understanding of environmental issues. When it comes to influencing consumer behavior, social factors and perceived behavioural control are key. Results show a shift in consumer behavior that is in favour of sustainability and highlight potential environmental effects. This study helps us gain a thorough understanding of how different generations feel about environmentally friendly items, which will help us develop sustainable consumption practices.
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    Storytelling in Augmented Reality: Challenges And Possibilities For Immersive Digital Marketing
    (Dublin Business School, 2023-08) Lemos, Jéssica; Michael Kane
    In Marketing, storytelling is the ability to convey content through a well-crafted plot and engaging narrative. As a marketing strategy, storytelling works under the assumption that people retain information more effectively when it is conveyed in the form of a narrative, rather than a mere list of facts. Augmented Reality (AR) disrupts narrative perspectives, shifting stories from third-person to first-person experiences. In this context, this mixed-method research investigates optimal AR storytelling practices in this technology’s evolving landscape. It delves into how AR attributes can enrich narratives, delivering engaging, memorable user experiences. Interviews with AR experts unravel effective AR Storytelling, while a consumer survey gathered opinions on AR storytelling. Results underline the significance of user context and participation, shaping successful experiences. Efficient immersive Digital Marketing involves structured audience targeting and consistent performance evaluation via engagement metrics. In this evolving landscape, further research is necessary regarding the domain of ubiquitous AR.