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Recognising the as-built state of construction elements is crucial for construction progress monitoring. Construction scholars have used computer vision-based algorithms to automate this process. Robust object recognition from indoor site images has been inhibited by technical challenges related to indoor objects, lighting conditions and camera positioning. Compared with traditional machine learning algorithms, one-stage detector deep learning (DL) algorithms can prioritise the inference speed, enable real-time accurate object detection and classification. This study aims to present a DL-based approach to facilitate the as-built state recognition of indoor construction works.

The one-stage DL-based approach was built upon YOLO version 4 (YOLOv4) algorithm using transfer learning with few hyperparameters customised and trained in the Google Colab virtual machine. The process of framing, insulation and drywall installation of indoor partitions was selected as the as-built scenario. For training, images were captured from two indoor sites with publicly available online images.

The DL model reported a best-trained weight with a mean average precision of 92% and an average loss of 0.83. Compared to previous studies, the automation level of this study is high due to the use of fixed time-lapse cameras for data collection and zero manual intervention from the pre-processing algorithms to enhance visual quality of indoor images.

This study extends the application of DL models for recognising as-built state of indoor construction works upon providing training images. Presenting a workflow on training DL models in a virtual machine platform by reducing the computational complexities associated with DL models is also materialised.

The article considers the utility of a pluralist perspective in the context of current debates around UK corporate governance reform. Oxford School pluralism advanced both a description of how industrial relations (IR) operated in practice plus a prescription for how it should operate. Whilst economic conditions are different today, a pluralist framing provides not only a useful way of understanding interests in firm governance (description) but also a solid grounding for a pragmatic reform agenda (prescription).

Drawing from key texts in the field, the article considers core concepts within pluralist discourse and discusses their relevance to contemporary policy debates.

The article provides a short outline of recent economic and political developments and considers how a pluralist framing helps explain firm-level interests, challenging the dominant narrative of shareholder primacy. It then asks what policy interventions might flow from this analysis of capital and labour investments, and how feasible they are in the current UK context. This allows a discussion of levels of analysis (evident in materialist theories such as “radical pluralism” and the “disconnected capitalism thesis”). Finally, it reflects briefly on the links between corporate governance and wider patterns of inequality, suggesting the pluralist position is consistent with a Durkheimian sociology focusing on the potential in state-led regulatory interventions to tackle anomie and strengthen social solidarity.

The article brings together literature from what are often treated as relatively discrete areas of enquiry (employment relations and corporate governance) and also considers the public policy implications of these connections.

Building on associative priming, anthropomorphism and biophilia theories, this study aims to explain that a natural–organic (that shows a natural object) and an anthropomorphised natural–organic logo (that shows an anthropomorphised natural object) both act as primes and imbue specific product value perceptions, which subsequently influence willingness to pay a premium price when products have not been used by or are unfamiliar to consumers.

Two between-subjects experiments were conducted with different products (one with real, but unfamiliar to consumers brand and another with a fictitious brand). Structural equation modelling was used to test the hypotheses.

Experimental studies showed that natural–organic logos evoked stronger utilitarian (functional and economic) value perceptions, which triggered greater willingness to pay a premium price compared to anthropomorphised natural–organic logos. The effect of hedonic (emotional and novelty) values on willingness to pay a premium price was stronger when an anthropomorphised natural–organic logo was used.

This research offers novel theoretical contributions highlighting the importance of careful logo design to imbue desired value perceptions when products have not been consumed or trialled.

Anthropomorphised natural–organic and natural–organic logos can provide different benefits to brand managers and can be used strategically to form desired value perceptions before products are consumed. Brands that wish to enhance premium pricing via hedonic values should consider using an anthropomorphised natural–organic logo. Natural–organic logos may be more suitable for brands that want to emphasise superior utilitarian values.

To the best of the authors’ knowledge, this research provides the first empirical assessment of the differential effects of the two forms of natural–organic logos on value perceptions and willingness to pay premium price.