Projects

Intelligent automation systems research

Our combined knowledge in fields like technology adoption, multidisciplinary design, policy implementation, data science, natural language processing, digital transformation, logistics, and skills development enables us to produce in-depth research. Moreover, we provide extensive support to organizations undergoing IA-related changes, assisting them in both strategic deployment and technical transformation.

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The Dream of the Dram: Placemaking Through Rural Entrepreneurship in the Scottish Whisky Industry

Within the context of rural entrepreneurship, issues such as lack of finance and unreliable infrastructure plague efficient operations and venture performance. However, ventures in these places often play an important role in community development, providing opportunities for employment, reducing inequalities, and alleviating poverty. As such, there is a call to consider the interactive nature of place and entrepreneurship, examining the role of rural entrepreneurs in creatively transforming their spatial contexts. This project examines the entrepreneurial placemaking of rural entrepreneurs in the Scottish whisky industry.

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Overcoming New Technology Barriers: Navigating the Shift to a Sustainable Future

The UK and Scottish governments have set ambitious targets for 2050 and 2045, respectively, in a bid to achieve net-zero carbon economies. The automotive industry represents a fundamental element of this transition, where the UK government has announced plans to ban petrol, diesel, and hybrid cars by 2035. However, to meet such ambitious targets, the question remains, how do we overcome barriers facing this new technology? This research explores the challenges and opportunities associated with transitioning to cleaner technologies, drawing on valuable insights from the historic Dundee jute industry.

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Leadership

This project delves into the multifaceted landscape of leadership in a wide range of diverse contexts. It particularly emphasises the pivotal role of thought leadership and effective people management as critical components for success in nascent business ventures. These studies span the nexus of leadership within startups, gender dynamics, creative industries, and the realms of innovation and strategy. Through this work the adaptability and applicability of leadership principles across industries is highlighted.

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Self-employment and Enterprise in Developed National Contexts of Poverty

Entrepreneurship, often arising from adverse socio-economic conditions, has become a prevalent outcome in the context of poverty. This research project aims to foster an evidence-based and inclusive dialogue surrounding enterprise for individuals facing low incomes within developed national contexts. By focusing on the dynamics of self-employment in impoverished settings, the study seeks to shed light on the nuanced factors influencing the entrepreneurial landscape.

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SMEs and the Circular Economy: Experiences & Challenges

The project investigates the experiences and challenges encountered by small and medium sized enterprises (SMEs) in Scotland as they navigate the adoption of circular economy (CE) practices. The research explores the extent of engagement with CE principles and the impact on business operations, emphasising the pivotal role of SMEs in promoting sustainability.

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Green Bonds Pricing

Green bonds are instruments to finance corporate projects in decarbonisation and renewable energy. Since their introduction a decade ago they have become one of the key means for financing the green transition. The use of green bonds to improve environmental corporate goals (and ESG scores) would represent a novel approach to examine corporate performance.

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Women Directors in the FTSE 100 and FTSE 350

Project aimed at investigating the career progression of women directors as well as the gender structure of boards of FTSE 100 companies, from 2010-2017.

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Knowledge Networks in Decarbonisation Science

This project examines UK (and global) industrial innovation associated to decarbonisation.

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Knowledge Networks and Cluster Analysis

Technological invention and scientific research does not readily translate into innovative practice. This is evident in the variance of innovation performance among UK industrial clusters.

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