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Evolving ecologies in digital education - A perspective from Scotland (2022)
Presentation / Conference Contribution
Drumm, L., & Zike, J. (2022, May). Evolving ecologies in digital education - A perspective from Scotland. Paper presented at Irish Learning Technology Association’s Annual Conference ‘EdTech 2022’, University College Cork

Ecosystems balance in a delicate dynamic of motion and change. When hit with a disturbance, an ecosystem's resilience is tested and any vacuum quickly filled by those well-suited to the new conditions. The ecologies wherein teaching occurs in higher... Read More about Evolving ecologies in digital education - A perspective from Scotland.

Information overload: a concept analysis (2022)
Journal Article
Belabbes, M. A., Ruthven, I., Moshfeghi, Y., & Pennington, D. (2023). Information overload: a concept analysis. Journal of Documentation, 79(1), 144-159. https://doi.org/10.1108/JD-06-2021-0118

Purpose: With the shift to an information-based society and to the de-centralisation of information, information overload has attracted a growing interest in the computer and information science research communities. However, there is no clear unders... Read More about Information overload: a concept analysis.

Critical thinking and diagnostic reasoning for advanced clinical practitioners in sexual health (2022)
Journal Article
McPhillips, H., Wood, A. F., & Smith, J. (2022). Critical thinking and diagnostic reasoning for advanced clinical practitioners in sexual health. British Journal of Nursing, 31(10), 534-540. https://doi.org/10.12968/bjon.2022.31.10.534

This article provides an overview of key areas within sexual health examination, diagnosis and treatment options for advanced clinical practitioners (ACPs) working outside this field of practice, who may not often encounter consultations of a sexual... Read More about Critical thinking and diagnostic reasoning for advanced clinical practitioners in sexual health.

Corporate Social Responsibility (CSR) Engagement and Remote Work (2022)
Presentation / Conference Contribution
Hejjas, K., Bratton, A., & Gilek, M. (2022, May). Corporate Social Responsibility (CSR) Engagement and Remote Work. Paper presented at Council for Hospitality Management Education (CHME) 2022, Edinburgh, Scotland

Three themes and PhD: Critical realism, social network analysis, and festival communities (2022)
Presentation / Conference Contribution
Jarman, D. (2022, May). Three themes and PhD: Critical realism, social network analysis, and festival communities. Paper presented at CHME 2022 (Council for Hospitality Management Education), Edinburgh Napier University

This paper explores some of the key themes from my PhD. In the paper I introduced the themes in the context of my work, exploring interpretations of "community" and "networks" in ways that are generally under explored in the festival and events liter... Read More about Three themes and PhD: Critical realism, social network analysis, and festival communities.

"So, What Do You Want?" Recasting Public Value in The Tourism Domain (2022)
Presentation / Conference Contribution
Anastasiadou, C., & McMillan, J. (2022, May). "So, What Do You Want?" Recasting Public Value in The Tourism Domain. Paper presented at The Human Touch in Hospitality: 30th Council for Hospitality Management Education 2022, Edinburgh Napier University, Edinburgh

In existing tourism literature, there is a lack of understanding of the public values on the basis of which tourism is understood and the tourism public sphere is constructed. Using the City of Edinburgh’s Council short-term let control area proposa... Read More about "So, What Do You Want?" Recasting Public Value in The Tourism Domain.

Factors influencing fatigue in nurses working in respiratory clinical areas during the second wave of the Covid‐19 pandemic: An online survey (2022)
Journal Article
Roberts, N. J., McAloney‐Kocaman, K., Lippiett, K., Ray, E., Welch, L., & Kelly, C. A. (2024). Factors influencing fatigue in nurses working in respiratory clinical areas during the second wave of the Covid‐19 pandemic: An online survey. Journal of Clinical Nursing, 33(1), 322-332. https://doi.org/10.1111/jocn.16375

Aims and objectives This study explores UK nurses' experiences of working in a respiratory clinical area during the COVID-19 pandemic over winter 2020. Background During the first wave of the pandemic, nurses working in respiratory clinical area... Read More about Factors influencing fatigue in nurses working in respiratory clinical areas during the second wave of the Covid‐19 pandemic: An online survey.

The use of Volunteer Employed Photography within undergraduate assessment: A international tourism field trip perspective (2022)
Presentation / Conference Contribution
Snell, S. (2022, May). The use of Volunteer Employed Photography within undergraduate assessment: A international tourism field trip perspective. Poster presented at Council for Hospitality Management Education (CHME) Conference, Edinburgh Napier University, Edinburgh

Volunteer Employed Photography (VEP) is used within tourism studies to better understand destinations and the manner in which residents and visitors interpret and experience them. Known for its ability to enhance observational skills, VEP has the po... Read More about The use of Volunteer Employed Photography within undergraduate assessment: A international tourism field trip perspective.

Online walking and mapping: understanding residents’ engagement with Edinburgh’s festival city spaces and places (2022)
Presentation / Conference Contribution
Todd, L. (2022, May). Online walking and mapping: understanding residents’ engagement with Edinburgh’s festival city spaces and places. Paper presented at CHME 2022: The Human Touch in Hospitality, Edinburgh Napier University, Edinburgh

My paper presents an exploratory and collaborative public engagement with research study; and considers its potential to inform future festivals planning in Edinburgh as the festival city and a hospitable destination. My study involved a co-designed... Read More about Online walking and mapping: understanding residents’ engagement with Edinburgh’s festival city spaces and places.

Brand Purpose: A Marketing Agency Perspective (2022)
Presentation / Conference Contribution
Feri, A., Ind, N., & Tjandra, N. C. (2022, May). Brand Purpose: A Marketing Agency Perspective. Paper presented at European Marketing Academy Conference, Budapest

The role of Twitch betting on gambling behaviours amongst esport spectators (2022)
Presentation / Conference Contribution
Thompson, J. (2022, May). The role of Twitch betting on gambling behaviours amongst esport spectators. Presented at EMAC, Corvinus University, Budapest

Online gamers can gamble non-monetary virtual points and tokens in exchange for rewards with monetary value. This paper sets out to test the antecedent factors influencing the consumption of non-monetary gambling features on Twitch (an esport streami... Read More about The role of Twitch betting on gambling behaviours amongst esport spectators.

Sustainable and Responsible Design Education: Tensions in Transitions (2022)
Journal Article
Boehnert, J., Sinclair, M., & Dewberry, E. (2022). Sustainable and Responsible Design Education: Tensions in Transitions. Sustainability, 14(11), Article 6397. https://doi.org/10.3390/su14116397

Sustainable and Responsible Design (SRD) harnesses design’s potential to address eco-social problems and in doing so challenge the status quo of design education by reframing the social and ecological consequences, boundaries and agencies of design.... Read More about Sustainable and Responsible Design Education: Tensions in Transitions.

Developing the concept of leaveism: From presenteeism/absence to an emergent and expanding domain of employment? (2022)
Journal Article
Richards, J., Ellis, V., Canduela, J., Pustelnikovaite, T., & Saxena, S. (2023). Developing the concept of leaveism: From presenteeism/absence to an emergent and expanding domain of employment?. Human Resource Management Journal, 33(2), 384-405. https://doi.org/10.1111/1748-8583.12452

The changing nature of employment has led to increased awareness of leaveism, a practice involving employees using allocated time off when unwell, taking work home, and picking up work when on annual leave. However, there are theoretical, methodologi... Read More about Developing the concept of leaveism: From presenteeism/absence to an emergent and expanding domain of employment?.

: Collapses in the oceanic Ekman boundary layer (2022)
Presentation / Conference Contribution
Shrira, V., & Oloo, J. (2022, May). : Collapses in the oceanic Ekman boundary layer. Presented at 24th European Geoscience Union (EGU22), Vienna, Austria

Developing a primary care-initiated hepatitis C treatment pathway in Scotland: a qualitative study (2022)
Journal Article
Whiteley, D., Speakman, E. M., Elliott, L., Jarvis, H., Davidson, K., Quinn, M., & Flowers, P. (2022). Developing a primary care-initiated hepatitis C treatment pathway in Scotland: a qualitative study. British Journal of General Practice, 72, e668-e676. https://doi.org/10.3399/bjgp.2022.0044

Background: The ease of contemporary hepatitis C virus (HCV) therapy has prompted a global drive towards simplified and decentralised treatment pathways. In some countries, primary care has become an integral component of community-based HCV treatmen... Read More about Developing a primary care-initiated hepatitis C treatment pathway in Scotland: a qualitative study.

Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions (2022)
Journal Article
Zhou, Y., Huang, K., Cheng, C., Wang, X., Hussain, A., & Liu, X. (2023). Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(2), 565-577. https://doi.org/10.1109/tetci.2022.3171797

The training process for deep learning and pattern recognition normally involves the use of convex and strongly convex optimization algorithms such as AdaBelief and SAdam to handle lots of “uninformative” samples that should be ignored, thus incurrin... Read More about Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions.

Sales Insights: wise words for beginners in Business-to-Business sales (2022)
Book
Mackenzie, C., & Bauer, A. (2022). Sales Insights: wise words for beginners in Business-to-Business sales. Jakarta, Indonesia: Seameo Seamolec

This is book for those who are studying or beginning a career in sales. It is not a 'line-by-line' sales process but provides small bite sizes pieces of thinking. This book was written by 'seasoned business people' now following teaching careers and... Read More about Sales Insights: wise words for beginners in Business-to-Business sales.

Fairy Light (2022)
Exhibition / Performance
Dearnley, E. Fairy Light. [Immersive theatre installation]. 21 May 2022 - 22 September 2023. (Unpublished)

'And then I said, "Those fairies we see - let's take a picture!"' In the summer of 1917, cousins Frances Griffiths and Elsie Wright claimed to have seen fairies by Cottingley Beck. The photographs they took would later be described by Sir Arthur C... Read More about Fairy Light.

Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods (2022)
Journal Article
Forootani, A., Rastegar, M., & Sami, A. (2022). Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods. Electric Power Systems Research, 210, Article 108119. https://doi.org/10.1016/j.epsr.2022.108119

Accurate short-term forecasting of the individual residential load is a challenging task due to the nonlinear behavior of the residential customer. Moreover, there are a large number of features that have impact on the energy consumption of the resid... Read More about Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods.