All Outputs (86)

Secure and robust machine learning for healthcare: A survey (2020)
Journal Article
Qayyum, A., Qadir, J., Bilal, M., & Al Fuqaha, A. (2020). Secure and robust machine learning for healthcare: A survey. IEEE Reviews in Biomedical Engineering, 14, 156-180. https://doi.org/10.1109/rbme.2020.3013489

Recent years have witnessed widespread adoption of machine learning (ML)/deep learning (DL) techniques due to their superior performance for a variety of healthcare applications ranging from the prediction of cardiac arrest from one-dimensional heart... Read More about Secure and robust machine learning for healthcare: A survey.

A Contextual Understanding of Youth of Entrepreneurship Education Outcomes in Sub-Saharan Africa (2020)
Journal Article
Anosike, P. (2020). A Contextual Understanding of Youth of Entrepreneurship Education Outcomes in Sub-Saharan Africa. Academy of Management Proceedings, 2020(1), 14502. https://doi.org/10.5465/ambpp.2020.14502abstract

Prompted by growing emphasis, particularly in Africa where poverty and conflict have been associated with high youth unemployment, to use entrepreneurship education to influence young people’s post-study intentions, this paper articulates the effect... Read More about A Contextual Understanding of Youth of Entrepreneurship Education Outcomes in Sub-Saharan Africa.

Power crafting at work: A phenomenological study on individual differences (2020)
Journal Article
Berber, A., & Acar, A. G. (2021). Power crafting at work: A phenomenological study on individual differences. Human Relations, 74(11), 1889-1915. https://doi.org/10.1177/0018726720942828

What does having power mean, not for, but to an individual at work? In this paper, we focus on the individual’s concerns and experiences in the work setting and discuss how individuals conceptualise and construct their own power at work. This perspec... Read More about Power crafting at work: A phenomenological study on individual differences.

Deep learning model for demolition waste prediction in a circular economy (2020)
Journal Article
Akanbi, L. A., Oyedele, A. O., Oyedele, L. O., & Salami, R. O. (2020). Deep learning model for demolition waste prediction in a circular economy. Journal of Cleaner Production, 274, Article 122843. https://doi.org/10.1016/j.jclepro.2020.122843

An essential requirement for a successful circular economy is the continuous use of materials. Planning for building materials reuse at the end-of-life of buildings is usually a difficult task because limited time are usually made available for build... Read More about Deep learning model for demolition waste prediction in a circular economy.

Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings (2020)
Journal Article
Luo, X. J., Oyedele, L. O., Ajayi, A. O., Akinade, O. O., Delgado, J. M. D., Owolabi, H. A., & Ahmed, A. (2020). Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings. Energy and AI, 2, Article 100015. https://doi.org/10.1016/j.egyai.2020.100015

A genetic algorithm-determined deep feedforward neural network architecture (GA-DFNN) is proposed for both day-ahead hourly and week-ahead daily electricity consumption of a real-world campus building in the United Kingdom. Due to the comprehensive r... Read More about Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings.

A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies’ enablers (2020)
Journal Article
Yadav, G., Kumar, A., Luthra, S., Garza-Reyes, J. A., Kumar, V., & Batista, L. (2020). A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies’ enablers. Computers in Industry, 122, Article 103280. https://doi.org/10.1016/j.compind.2020.103280

Sustainability has emerged as one of the most important issues in the international market. Ignorance of sustainability aspects has led many manufacturing organisations to face huge financial losses. It has been observed that developed nations have s... Read More about A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies’ enablers.

Scarred objects and time marks as memory anchors: The significance of scuffs and stains in organisational life (2020)
Journal Article
Shortt, H., & Izak, M. (2021). Scarred objects and time marks as memory anchors: The significance of scuffs and stains in organisational life. Human Relations, 74(10), 1688-1715. https://doi.org/10.1177/0018726720938848

This article lays the workplace under the microscope to examine how scuffs on floors and battered corners on desks – things we define as ‘scarred objects’ – become material autobiographical archives and are made into memory anchors by workers. We exp... Read More about Scarred objects and time marks as memory anchors: The significance of scuffs and stains in organisational life.

Gendered roles in agrarian transition: A study of lowland rice farming in Lao PDR (2020)
Journal Article
Moglia, M., Alexander, K. S., Larson, S., (Giger)-Dray, A., Greenhalgh, G., Thammavong, P., …Case, P. (2020). Gendered roles in agrarian transition: A study of lowland rice farming in Lao PDR. Sustainability, 12(13), Article 5403. https://doi.org/10.3390/su12135403

Traditional lifestyles of lowland rice farmers of the southern provinces of Lao People’s Democratic Republic are rapidly changing, due to two important trends. Firstly, there is a push towards modernization and commercialization of farming. Secondly,... Read More about Gendered roles in agrarian transition: A study of lowland rice farming in Lao PDR.

Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads (2020)
Journal Article
Luo, X. J., Oyedele, L. O., Ajayi, A. O., & Akinade, O. O. (2020). Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads. Sustainable Cities and Society, 61, Article 102283. https://doi.org/10.1016/j.scs.2020.102283

Buildings are one of the significant sources of energy consumption and greenhouse gas emission in urban areas all over the world. Lighting control and building integrated photovoltaic (BIPV) are two effective measures in reducing overall primary ener... Read More about Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads.

All that jazz (2020)
Journal Article
Turner, A. (2020). All that jazz. Coaching Psychologist, 16(1),

This is a paper (one of an informal series) looking at creative ways of coaching.

Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings (2020)
Journal Article
Luo, X. J., Oyedele, L. O., Ajayi, A. O., Akinade, O. O., Owolabi, H. A., & Ahmed, A. (2020). Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings. Renewable and Sustainable Energy Reviews, 131, Article 109980. https://doi.org/10.1016/j.rser.2020.109980

Accurate forecast of energy consumption is essential in building energy management. Owing to the variation of outdoor weather condition among different seasons, year-round historical weather profile is needed to investigate its feature thoroughly. Da... Read More about Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings.

Challenging male dominance through the substantive representation of women: The case of an online women’s mentoring platform (2020)
Journal Article
Durbin, S., Lopes, A., & Warren, S. (2020). Challenging male dominance through the substantive representation of women: The case of an online women’s mentoring platform. New Technology, Work and Employment, 35(2), 215-231. https://doi.org/10.1111/ntwe.12166

This article analyses the design of an online mentoring platform—for women by women—in a high-technology, male-dominated UK industry: aviation and aerospace. Based on interviews with professionals and managers, we analyse the journey of the women inv... Read More about Challenging male dominance through the substantive representation of women: The case of an online women’s mentoring platform.

Project reputation in construction: A process-based perspective of construction practitioners in the UK (2020)
Journal Article
Olawale, O., Oyedele, L., Owolabi, H., Gbadamosi, A., & Kusimo, H. (2022). Project reputation in construction: A process-based perspective of construction practitioners in the UK. International Journal of Construction Management, 22(12), https://doi.org/10.1080/15623599.2020.1783598

The overall aim of this study is to elicit the perspective of practitioners (e.g., architects, civil engineers, building engineers, structural engineers and quantity surveyors) on the process-related factors influencing the project reputation of cons... Read More about Project reputation in construction: A process-based perspective of construction practitioners in the UK.

Big data innovation and diffusion in projects teams: Towards a conflict prevention culture (2020)
Journal Article
Oyedele, A., Owolabi, H. A., Oyedele, L. O., & Olawale, O. A. (2020). Big data innovation and diffusion in projects teams: Towards a conflict prevention culture. Developments in the Built Environment, 3, Article 100016. https://doi.org/10.1016/j.dibe.2020.100016

Despite the enormous literature on how team conflicts can be managed and resolved, this study diverges, by examining factors that facilitate conflict prevention culture in project teams, especially when introducing Big Data Technology. Relying on fin... Read More about Big data innovation and diffusion in projects teams: Towards a conflict prevention culture.

The impact of digitalization and servitization on the financial performance of a firm: An empirical analysis (2020)
Journal Article
Abou-foul, M., Ruiz-Alba, J. L., & Soares, A. (2021). The impact of digitalization and servitization on the financial performance of a firm: An empirical analysis. Production Planning and Control, 32(12), 975-989. https://doi.org/10.1080/09537287.2020.1780508

Manufacturing firms have vigorously pursued opportunities for profitability and growth through servitization and digitalization processes. However, the current body of research provides contradictory results on the impact of servitization and digital... Read More about The impact of digitalization and servitization on the financial performance of a firm: An empirical analysis.

Leading to achieve social change: An interview with Ruth Hunt, former Chief Executive Officer of Stonewall (2020)
Journal Article
Bolden, R., Williams, R., & O’Regan, N. (2021). Leading to achieve social change: An interview with Ruth Hunt, former Chief Executive Officer of Stonewall. Journal of Management Inquiry, 30(1), 91-97. https://doi.org/10.1177/1056492620935192

In this interview Ruth Hunt, former CEO of the lesbian, gay, bi and trans equality charity Stonewall and now crossbench peer at the House of Lords, discusses her approach to leadership for social change. She considers the changing context of LGBT rig... Read More about Leading to achieve social change: An interview with Ruth Hunt, former Chief Executive Officer of Stonewall.

Cyber resiliency for digital enterprises: A strategic leadership perspective (2020)
Journal Article
Loonam, J., Zwiegelaar, J., Kumar, V., & Booth, C. (2022). Cyber resiliency for digital enterprises: A strategic leadership perspective. IEEE Transactions on Engineering Management, 69(6), 3757-3770. https://doi.org/10.1109/TEM.2020.2996175

As organizations increasingly view information as one of their most valuable assets, which supports the creation and distribution of their products and services, information security will be an integral part of the design and operation of organizatio... Read More about Cyber resiliency for digital enterprises: A strategic leadership perspective.

A novel clustering-enhanced adaptive artificial neural network model for predicting day-ahead building cooling demand (2020)
Journal Article
Luo, X. J. (2020). A novel clustering-enhanced adaptive artificial neural network model for predicting day-ahead building cooling demand. Journal of Building Engineering, 32, Article 101504. https://doi.org/10.1016/j.jobe.2020.101504

To accurately predict hourly day-ahead building cooling demand, year-round historical weather profile needs to be evaluated. The daily weather profiles among different time periods result in various features of historical datasets. The different appr... Read More about A novel clustering-enhanced adaptive artificial neural network model for predicting day-ahead building cooling demand.

A multi-objective mixed-integer linear model for sustainable fruit closed-loop supply chain network (2020)
Journal Article
Jabarzadeh, Y., Reyhani Yamchi, H., Kumar, V., & Ghaffarinasab, N. (in press). A multi-objective mixed-integer linear model for sustainable fruit closed-loop supply chain network. Management of Environmental Quality: An International Journal, 31(5), 1351-1373. https://doi.org/10.1108/MEQ-12-2019-0276

Purpose: This paper aims to present a closed-loop supply chain (CLSC) optimization problem for a perishable agricultural product to achieve three pillars of sustainability, including minimizing total network costs and carbon dioxide emissions from di... Read More about A multi-objective mixed-integer linear model for sustainable fruit closed-loop supply chain network.

A research agenda for augmented and virtual reality in architecture, engineering and construction (2020)
Journal Article
Davila Delgado, J. M., Oyedele, L., Demian, P., & Beach, T. (2020). A research agenda for augmented and virtual reality in architecture, engineering and construction. Advanced Engineering Informatics, 45, Article 101122. https://doi.org/10.1016/j.aei.2020.101122

This paper presents a study on the usage landscape of augmented reality (AR) and virtual reality (VR) in the architecture, engineering and construction sectors, and proposes a research agenda to address the existing gaps in required capabilities. A s... Read More about A research agenda for augmented and virtual reality in architecture, engineering and construction.