Research Methodology at Level 8 and 9: a Web-enabled Approach

This research explored the potential use of webinars as a method of course delivery in the College of Business, Technological University Dublin. In-depth interviews were conducted with a purposive sample of students to gain insights into their experience with webinars and to delve into how they interacted with the webinar, whether they would prefer this mode of delivery in the future and to assess their overall perceptions of webinars. Findings indicated that students found the webinar to be a novel and innovative way for delivering course content, however, students reported having connectivity issues and at times encountered audio problems. Furthermore, all students described multi-tasking while taking part in the virtual classroom. Recommendations to the Institute include exploring the possibility of using webinars in situations where the traditional lecture is not possible (i.e. a contingency method of delivery), or to use webinars as part of a blended learning model, whereby webinars are not the sole method of course content delivery but are used in tandem with the traditional, face-to-face lectures

The Influence of the Servicescape on Post-Consumption Processes

The physical and atmospheric cues in service environments have long been accepted as potent contributors to consumers’ overall evaluations of their service experiences. Theoretical frameworks conceptualising how these environmental cues impact on both emotional and cognitive processes have been put forward, yet the empirical work supporting these theories has become highly disjointed with a great deal of confusion regarding what should be classified as an environmental stimulus. By integrating the extant literature, this dissertation attempts to overcome theoretical ambiguities and proposes a second order factor model of service environments, also known as the servicescape, which is subsequently tested using a multi-item servicescape scale that is developed herein. The service chosen to test the applicability of this model was a low involvement, utilitarian service. The rationale for this choice is that there is a dearth of research in services which are frequently used by consumers, with a greater emphasis placed on services which are more experiential in nature. The analysis demonstrates that the servicescape adheres to a multi-dimensional structure, wherein, each of the sub- constructs are related to one another through a higher level of abstraction. This dissertation also highlights the theoretical confusion that exists between the service quality and servicescapes literature. Rather than subsume the servicescape as an additional dimension within the service quality construct, it is proposed that the servicescape is theoretically distinct whereby it implicitly communicates to consumers the level of service quality they should expect to receive. This view regards the servicescape as an antecedent to service quality with service quality depicted as a parsimonious, two dimensional structure. This relationship is tested using structural equation modelling and it is shown how various aspects of the servicescape impact upon service quality. Emotional reactions are widely regarded as direct consequences of servicescape evaluations; similarly, consumption emotions are thought to be synonymous with customer satisfaction. This premise is tested through a comprehensive model which tests whether consumers adhere to a more emotive processing system, or to one where cognitive processes dominate. In addition, the model also elucidates how modelling the servicescape as a multi-dimensional structure allows one to determine which aspects of the servicescape are more salient than others. Finally, the dissertation concludes with a discussion on the implications of the findings as well as providing recommendations for further research in this area

Towards an Understanding of Students’ Use of Audio Feedback: an Exploratory Study

iCERi2010, Madrid, Spain

Exploratory Factor Analysis

Factor analysis examines the inter-correlations that exist between a large number of items (questionnaire responses) and in doing so reduces the items into smaller groups, known as factors. These factors contain correlated variables and are typically quite similar in terms of content or meaning. Unlike other methods discussed in this book, exploratory factor analysis (EFA) does not discriminate between variables on whether they are independent or dependent, but rather it is an interdependence technique that does not specify formal hypotheses. It is in this sense it is ‘exploratory’ in nature as it allows the researcher to determine the underlying dimensions or factors that exist in a set of data. The technique is particularly useful for managerial or academic research in reducing items into discrete dimensions that can be summed or aggregated and subsequently used as input for further multivariate analysis such as multiple regression. It is also used extensively in scale development research to condense a large item pool into a more succinct, reliable and conceptually sound measurement instrument. Factor analytic techniques can typically be classified as either exploratory or confirmatory and the former of these is addressed within this chapter using a research example to demonstrate it\u27s use

Automation, AI, and Future Skills Needs: An Irish Perspective

This study explores insights from key stakeholders into the skills they believe will be necessary for the future of work as we become more reliant on artificial intelligence (AI) and technology. The study also seeks to understand what human resource policies and educational interventions are needed to support and take advantage of these changes

Structural Equation Modelling: Guidelines for Determining Model Fit

The following paper presents current thinking and research on fit indices for structural equation modelling. The paper presents a selection of fit indices that are widely regarded as the most informative indices available to researchers. As well as outlining each of these indices, guidelines are presented on their use. The paper also provides reporting strategies of these indices and concludes with a discussion on the future of fit indices

The Role of Project Coordinators in European Commission Framework Programme Projects

This report presents key findings of the Innovation Radar Project Coordinators Survey in Framework Programme Research and Innovation projects, a purposeful sample of European Framework Programme (FP) Project Coordinators (PC). The objective is to identify the practices and activities of PCs leading EU FP projects and to understand their impact on innovation outcomes. The survey findings confirm the lynchpin role of PCs in the European FP R&I projects. Their role clearly extends significantly beyond that identified in the Horizon 2020 User Guide which sees the PC as “the main contact point between the consortium and the Commission for a particular grant”. The PC is far more than simply “the proposal initiator in the submission phase” but taking account of their prime role in project conceptualisation and consortia formation, the PC is in effect the principal translator of the EC funded research programme and responsible for how the majority of the European research budget is invested. Identifying the PC as a scientific entrepreneur significantly changes how the PC role is viewed. From an EC perspective, recognising the PC as a scientific entrepreneur means their engagement with the PC during the project should be less about monitoring and oversight during project implementation, and more about providing the entrepreneur with support.JRC.B.6-Digital Econom

The Role of Project Coordinators in European Commission Framework Programme Projects

Programme Research and Innovation projects, a purposeful sample of European Framework Programme (FP) Project Coordinators (PC). The objective is to identify the practices and activities of PCs leading EU FP projects and to understand their impact on innovation outcomes. The survey findings confirm the lynchpin role of PCs in the European FP R&I projects. Their role clearly extends significantly beyond that identified in the Horizon 2020 User Guide which sees the PC as “the main contact point between the consortium and the Commission for a particular grant”. The PC is far more than simply “the proposal initiator in the submission phase” but taking account of their prime role in project conceptualisation and consortia formation, the PC is in effect the principal translator of the EC funded research programme and responsible for how the majority of the European research budget is invested. Identifying the PC as a scientific entrepreneur significantly changes how the PC role is viewed. Recognising the PC as a scientific entrepreneur means their engagement with the PC during the project should be less about monitoring and oversight during project implementation, and more about providing the entrepreneur with support