Andy Neely
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How do projects decouple from coercive pressures? A study of decoupling in construction projects Open
Purpose How organisations interact with and respond to environmental pressures has been a long-term interest of organisational scholars. Still, it remains an under-theorised phenomenon from a project perspective. So far, there is limited u…
Human-in-Loop Decision-Making and Autonomy: Lessons Learnt from the Aviation Industry Transferred to Cyber-Physical Systems Open
In this study, we reviewed aircraft accidents in order to understand how autonomy and safety has been managed in the aviation industry, with the aim of transferring our findings to autonomous cyber-physical systems (CPSs) in general. Throu…
An iteratively optimised process for improving the efficiency and effectiveness of an industrial SARS-CoV-2 diagnostic facility Open
On 11th March 2020, the UK government announced plans for the scaling of COVID-19 testing, and on 27th March 2020 it was announced that a new alliance of private sector and academic collaborative laboratories were being created to generate…
Using AI to Track How Customers Feel — In Real Time Open
The most common methods of tracking customer sentiments has a big blind spot: They can’t pick up on important emotional responses. As a result, qualitative surveys, like Net Promoter Score, end up missing critically important feedback. Eve…
View article: Feasibility and efficacy of mass testing for SARS-CoV-2 in a UK university using swab pooling and PCR
Feasibility and efficacy of mass testing for SARS-CoV-2 in a UK university using swab pooling and PCR Open
Transmission of SARS-CoV-2 without symptoms is well described, and may be mitigated by mass testing. Nonetheless, the optimal implementation and quantitative real-world impact of this approach remain unclear. During a period of rising SARS…
Grounded Theory: A Guide for Exploratory Studies in Management Research Open
Grounded theory was first introduced more than 50 years ago, but researchers are often still uncertain about how to implement it. This is not surprising, considering that even the two pioneers of this qualitative design, Glaser and Strauss…
Exploring the influence of socio-historical constructs on BIM implementation: an activity theory perspective Open
Building Information Modelling (BIM) has been widely seen as bringing a paradigm change to the construction industry. However, scholars have acknowledged that neither widespread BIM implementation nor the envisaged systemic changes within …
Digital transforming capability and performance: a microfoundational perspective Open
Purpose Drawing on the literature on dynamic capabilities and digital transformation, this paper conceptualises and investigates the relevant antecedents of an essential capability for digital transformation – the digital transforming capa…
Becoming Digital: Enacting Digital Transformation in Construction Projects Open
Digital transformation is often conceptualised as an accomplished event; however, conceptualising it as something that organisations accomplish does not capture the features of the change process. In this study, we analyse digital transfor…
Institutional pressures and decoupling in construction projects: an analysis of Building Information Modelling implementation Open
Most existing research on built environment policy has focused on the independent variable - policy formulation - and assumed that the prescriptions that follow are readily accepted by a multitude of stakeholders. Less focus has been place…
Blockchain-driven customer order management Open
Purpose The purpose of this paper is to investigate the effects of Blockchain on the customer order management process and operations. There is limited understanding of the use and benefits of Blockchain on supply chains, and less so at pr…
View article: Service providers and firm performance: investigating the non-linear effect of dependence
Service providers and firm performance: investigating the non-linear effect of dependence Open
Purpose Servitized manufacturers can leverage close relationships with external providers of product-related services to mobilize value creation and improve the responsiveness of their offerings to customer needs. The purpose of this paper…
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions Open
A simple, flexible approach to creating expressive priors in Gaussian process (GP) models makes new kernels from a combination of basic kernels, e.g. summing a periodic and linear kernel can capture seasonal variation with a long term tren…
Redistributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective Open
Digitalisation and the growth of big data promise greater customisation as well as change in how manufacturing is distributed. Yet, challenges arise in applying these new approaches in consumer goods industries that often emphasise mass pr…
Service Business Model Innovation: the digital twin technology Open
This study is set up to investigate the effect of Digital Twins on service business model innovation. In other words, what effect do digital twins bring to existing service business models? A two-phases exploratory research was set up to u…
Bayesian Neural Network Ensembles Open
Ensembles of neural networks (NNs) have long been used to estimate predictive uncertainty; a small number of NNs are trained from different initialisations and sometimes on differing versions of the dataset. The variance of the ensemble's …
Gaining Customer Experience Insights That Matter Open
Contextualized in postpurchase consumption in business-to-business settings, the authors contribute to customer experience (CX) management theory and practice in three important ways. First, by offering a novel CX conceptual framework that…
Uncertainty in Neural Networks: Bayesian Ensembling. Open
Understanding the uncertainty of a neural network's (NN) predictions is
essential for many applications. The Bayesian framework provides a principled
approach to this, however applying it to NNs is challenging due to the large
number of pa…
Uncertainty in Neural Networks: Approximately Bayesian Ensembling Open
Understanding the uncertainty of a neural network's (NN) predictions is essential for many purposes. The Bayesian framework provides a principled approach to this, however applying it to NNs is challenging due to large numbers of parameter…
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning. Open
The use of ensembles of neural networks (NNs) for the quantification of predictive uncertainty is widespread. However, the current justification is intuitive rather than analytical. This work proposes one minor modification to the normal e…
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning Open
The use of ensembles of neural networks (NNs) for the quantification of predictive uncertainty is widespread. However, the current justification is intuitive rather than analytical. This work proposes one minor modification to the normal e…
LINKING FIRMS IN VALUE BUSINESS ECOSYSTEMS: TOWARDS A CLASSIFICATION MODEL Open
This paper contributes to the business ecosystem literature by offering a classification model that allows for the differentiation of intercompany connections. The researchers found that the definition of a business ecosystem lacks separat…
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach Open
This paper considers the generation of prediction intervals (PIs) by neural networks for quantifying uncertainty in regression tasks. It is axiomatic that high-quality PIs should be as narrow as possible, whilst capturing a specified porti…
The relationship regulator: a buyer-supplier collaborative performance measurement system Open
Purpose The purpose of this paper is to propose an innovative buyer-supplier performance measurement system (PMS) (called relationship regulator – RelReg), aimed at stimulating collaboration on mutual performance. The RelReg is described a…
Digital Transformation in Service Management Open
The digital transformation of single companies and of entire service businesses is an omnipresent topic – not only in the academic discourse but also in the current public debate. The topic is often approached phenomenologically. We invite…
View article: From Goods to Services Consumption: A Social Network Analysis on Sharing Economy and Servitization Research
From Goods to Services Consumption: A Social Network Analysis on Sharing Economy and Servitization Research Open
The transition from consuming goods to consuming services is a topic of great interest for service researchers and has been examined from various perspectives. We provide an overview of how this field of research has been approached by sys…
The Path to Outcome Delivery: Interplay of Service Market Strategy and Open Business Models Open
Firms in a variety of manufacturing sectors as well as the software industry have increasingly embraced services alongside their product portfolios in order to improve financial performance. Yet, the key question “How do service market str…