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This study investigates the origins and elaboration of the managerial “unitary” frame of reference associated with Alan Fox, focusing on unionised firms: the industrial relations context, intellectual roots, elaboration, adaptation by other writers, and international applicability.

Tracing the above requirements through contemporaneous sources.

Fox’s designation of the unitary frame needs to be understood in its 1960s’ context, particularly the promotion of “productivity bargaining”, and its furthering through management training and education. Fox’s specific contribution is identified. Subsequent UK writers have underplayed the importance of the legal dimension of managerial authority, especially relevant in the US context, while other extra-economic factors bolster the managerial unitary frame in authoritarian societies such as China.

The use of Fox's neglected 1960s’ writings; tracking how Fox developed the unitary frame concept and how it was funnelled into the narrow parameters of non-unionism by subsequent writers; identifying its applicability beyond the UK (with the USA as a historical example and China as a contemporary one).

This research aimed to measure the influence of resource dependency (trading and/or shareholder's dependencies) squad age structure by building archetypes to identify strategic dominant schemes.

Based on the Ligue 1 football clubs from the 2009/2010 season to the 2018/2019 data, the authors use the k-means classification to build archetypes of resource dependency and squad structure variables. The influence of resource dependency on squad structure is then analysed through a table of contingency.

Firstly, the authors identify archetypes of resource dependency with some clubs that are dependent on the transfer market and others that do not count on sales to balance their account. Secondly, they provide different archetypes of squad structure choices. The contingency between those archetypes allows to identify three main strategic schemes (avoidance, shaping and adaptation).

The research tests an original relationship between resource dependency of clubs and their human resource strategy to respond to it. This paper can help to provide detailed profiles for big clubs looking for affiliate clubs to know which clubs have efficient academy or player development capacities.

The purpose of this study is to investigate the factors that influenced employee engagement in the context of remote work as a result of the COVID-19 pandemic and compare them with antecedents of employee engagement in traditional workplaces.

This study adopted an integrative literature review design of 27 empirical and conceptual peer-reviewed journal articles from a host of academic databases. Data were analyzed via a matrix and mapped onto individual and organizational antecedents of employee engagement.

This study identified 18 antecedents of remote work, which were categorized into individual antecedents, for example, mindfulness and digital literacy, as well as organizational antecedents, for example, job autonomy and supportive leadership. These findings were compared with antecedents of employee engagement in traditional workplaces to generate new knowledge about the impact of remote work on employee engagement as a result of the large shift to remote work in 2020.

This study synthesizes the most recent literature on antecedents of employee engagement in remote work settings as the result of the pandemic and contrasts these new approaches with previously identified antecedents of employee engagement in traditional workplaces.

Building information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.

This paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.

Four domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.

This paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

The principal research objective entails examining the nexus between green supplier selection and green performance while scrutinizing the moderating role of governance mechanisms, specifically process control and outcome control, in shaping this association.

To assess our hypotheses, this study obtained data from Chinese manufacturing sectors and utilized regression analysis on a dataset consisting of 295 samples.

This study enriches the sustainable supply chain management literature by emphasizing the influence of green supplier selection on a firm’s green performance and the moderating effects of outcome and process control, offering practical insights for industry professionals.

This study enriches the sustainable supply chain management literature by emphasizing the influence of supplier selection on a firm’s environmental performance and the moderating effects of outcome and process control, offering practical insights for industry professionals.