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The purpose of this paper is to understand how inspection team members work together to conduct surveys of hospitals, the challenges teams may face and how these might be addressed.

Data were gathered through an evaluation of a new regulatory model for acute hospitals in England, implemented by the Care Quality Commission (CQC) during 2013-2014. The authors interviewed key stakeholders, observed inspections and surveyed and interviewed inspection team members and hospital staff. Common characteristics of temporary teams provided an analytical framework.

The temporary nature of the inspection teams hindered the conduct of some inspection activities, despite the presence of organisational citizenship behaviours. In a minority of sub-teams, there were tensions between CQC employed inspectors, healthcare professionals, lay people and CQC data analysts. Membership changes were infrequent and did not appear to inhibit team functioning, with members displaying high commitment. Although there were leadership authority ambiguities, these were not problematic. Existing processes of recruitment and selection, training and preparation and to some extent leadership, did not particularly lend themselves to addressing the challenges arising from the temporary nature of the teams.

Conducting the research during the piloting of the new regulatory approach may have accentuated some challenges. There is scope for further research on inspection team leadership.

Issues may arise if inspection and accreditation agencies deploy temporary, heterogeneous survey teams.

This research is the first to illuminate the functioning of inspection survey teams by applying a temporary teams perspective.

The purpose of this study is to examine the influence of characteristics of the institutional environment on the disclosure of corporate social responsibility (CSR).

This is a quantitative and descriptive research. The dependent variables used were environmental dimension (ED) and social dimension (SD) that together compose the corporate social performance (CSP). The independent variables that will be used are the characteristics of the institutional environments of Brazil and the UK. Thus, for this end, variables of the national business system of both countries will be used: corruption transparency, access to credit by countries, quality of the education system and labor relations. After their collection, the data were submitted to descriptive and inferential statistics and hierarchical regression.

Data show that UK companies make more disclosure in CSR than Brazilian companies. Through linear regression, it can be seen that the institutional environment affects disclosure in CSR. In the UK, a country with better educational, labor, political and financial indicators than Brazil, it presented better CSR practices. The findings reveal that the better an institutional environment, the more firms act in CSR. The findings of the research confirm the premise of institutional theory: different institutional fields can modify business performance.

The study analyzed only the disclosure practices of companies in the public sector. Thus, the results should be carefully analyzed, without generalizations for all industry sectors. Therefore, it is suggested that future research looks at other industry sectors as well as other institutional contexts, i.e. other countries.

Multinational companies may have different CSR practices according to the institutional environment in which they operate. For example, companies in developed countries, such as the UK, have greater stakeholder pressure. Given this, managers must adapt their environmental strategies according to the institutional environment in which they operate.

This research contributes to CSR studies in various institutional contexts. There is a consensus in the literature that institutional environments affect firms' CSR practices. However, few empirical studies show results between the national business system and CSR. Thus, the present study intends to fill this research gap.

This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions.

This study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and identify the current research streams and proceeds with a systematic literature review to examine the main topics and examine the main contributions.

Six clusters were identified: (1) AI adoption and benefits, (2) AI for efficiency and productivity, (3) AI for logistics and supply chain management, (4) AI for supporting decision making process for firms and consumers, (5) AI for risk mitigation and (6) AI marketing aspects. Then, the authors propose an interpretive framework composed of three main dimensions: (1) the two sides of AI: the “hard” side concerns the technology development and application while the “soft” side regards stakeholders' acceptance of the latter; (2) level of analysis: firm and inter-firm; (3) the impact of AI on value chain activities in the agri-food sector.

This study provides interpretive insights into the extant literature on AI in the agri-food sector, paving the way for future research and inspiring practitioners of different AI approaches in a traditionally low-tech sector.

This paper explores emerging technologies in higher education libraries indexed in the Web of Science core collection and Scopus for the periods between 1994 and 2024 (January 18, 2024).

Data from Web of Science (WoS) and Scopus databases were collected and combined using RStudio software. Once this was completed using RStudio, the combined Scopus and Web of Science Excel file was uploaded into Biblioshiny, an interactive web interface. The data was then categorized to illustrate contributions from authors, journals, countries and academic institutions across the globe.

Results and findings related to publication growth trends, annual growth, core journals, impact and productivity of authors, most cited documents, collaborations, network mapping and country contributions on emerging technologies and higher education libraries are presented.

This topic requires further exploration as academic librarians are fast becoming integrated into the teaching and learning agenda of institutions globally.

Higher education libraries and library schools to promote the teaching identity of academic librarians by helping them improve their pedagogical and digital skills for online teaching.

Library and information science schools need to fast track the integration of emerging technologies into the curriculum. Higher education libraries should consider the training of staff in order to keep abreast of emerging technologies. Library management must frame their policies and strategies in order to promote the use of emerging technologies in higher education libraries.

The current study is novel in that it explores emerging technologies and higher education libraries using combined data from Scopus and Web of Science. The topic of emerging technologies and higher education libraries is still developing and therefore is in its infancy. The research is useful for researchers, library management and library schools in the higher education sector globally.

The European Union (EU) has notified its revised Generalized System of Preference (GSP) on 31 October, 2012 which will come into effect from 1 January, 2014. The EU is also in the process of, or contemplating, to sign Free Trade Agreements (FTAs) with many developing countries. Recently, EU has officially announced initiation of FTA negotiations with USA. Such preferential tariff arrangements could lead to significant erosion of preferences enjoyed currently by the Least Developed Countries (LDCs). In this backdrop, the main objective of the present study is to investigate the economic impacts originating from preference erosion in the EU market which could potentially affect LDCs in general, Bangladesh in particular. In this context, a dynamic computable general equilibrium (CGE) analysis has been developed by using the Global Trade Analysis Project (GTAP) model and database to explore the aggregate impact of the preferential erosion as well as sectoral implications for which different partial equilibrium analyses were used. The analysis evince that if the EU eliminates all tariffs for Pakistan, India and Vietnam, Bangladesh's real GDP could decrease by 0.27 percent whilst welfare loss could be to the tune of US$ 54 million. Total exports to the EU will be reduced by 0.18 percent; consequently, Bangladesh’s terms of trade and exports of textiles and clothing could be fall by about 1 percent. The product level disaggregated analysis using RCA and unit price of major items also indicate that a number of products including textiles and clothing will be confronted with formidable market access difficulties in the EU.

This paper aims to introduce a model using a digital twin concept in a cold heading manufacturing and develop a digital visual management (VM) system using Lean overall equipment effectiveness (OEE) tool to enhance the process performance and establish Fourth Industrial Revolution (I4.0) platform in small and medium enterprises (SMEs).

This work utilised plan, do, check, act Lean methodology to create a digital twin of each machine in a smart manufacturing facility by taking the Lean tool OEE and digitally transforming it in the context of I4.0. To demonstrate the effectiveness of process digitisation, a case study was carried out at a manufacturing department to provide the data to the model and later validate synergy between Lean and I4.0 platform.

The OEE parameter can be increased by 10% using a proposed digital twin model with the introduction of a Level 0 into VM platform to clearly define the purpose of each data point gathered further replicate in projects across the value stream.

The findings suggest that researchers should look beyond conversion of stored data into visualisations and predictive analytics to improve the model connectivity. The development of strong big data analytics capabilities in SMEs can be achieved by shortening the time between data gathering and impact on the model performance.

The novelty of this study is the application of OEE Lean tool in the smart manufacturing sector to allow SME organisations to introduce digitalisation on the back of structured and streamlined principles with well-defined end goals to reach the optimal OEE.

The purpose of this paper is to evaluate how much influence good corporate governance (GCG) has on corporate value, as well as moderating effect of stock return and financial performance on the influence of GCG on corporate value.

This study was an explanatory study. The unit of analysis was the companies listed in LQ45 in Indonesian Stock Exchange and the sources of data were ICMD, annual report and financial reports of the companies. Indonesian Stock Exchange was selected as the setting of the study since Indonesian Stock Exchange is one of trading places for various types of companies in Indonesia, and it provides complete information on company’s financial data and stock price. The population was 84 companies listed in LQ45 in Indonesian Stock Exchange between 2010 and 2016.

The higher GCG, independent commissioners proportion, institutional managerial and public ownerships resulted in higher corporate value. MBE and PER stock return is a moderating variable in the influence of GCG on corporate value. Financial performance is moderating variable in the influence of GCG on corporate value.

Based on the previous studies, it may be concluded that there is a gap between the influence of GCG on corporate value and the influence of stock return on financial performance, and moderating variable is needed to evaluate the influence of GCG on company performance, more particularly stock return and financial performance. This discrepancy creates opportunity for conducting an in-depth study on those variables. Its novelty is correlation between stock return and financial performance as moderation. Previous studies used these as mediating variables. This study is going to generate different finding as it is conducted in different setting (country where this study is conducted), type of industry, research period and using different method of analysis.

Industrial heritage works within a world of contradictions, contentions and scalar liminality. Archaeologists and historians focus upon oral histories and discourses of tangible and intangible memory and heritage while planners and economists see industrial World Heritage, in particular, as a marketing ploy to redevelop deindustrialized spaces. Within this liminality, we explore the potential for geographical perspectives to solder such contradictions into transdisciplinary heritage assessments and tourism contexts. How might the spatial tools of landscape and scalar analyses expose alternative and sustainable futures within broader patterns of industrial heritage management and consumption?

Using three comparative cases, interview and landscape methods and conducting discourse analysis within a spatial and scalar framework, we explore the increasing presence of industrial World Heritage.

We present both an institutional reflection upon the complexities of heritage discourse across complex spatial configurations and the intersectional historical, cultural, political, environmental and economic geographies that guide and emerge out of World Heritage Designations. Framed scalarly and spatially, we highlight common interpretation, tourism and heritage management styles and concerns found across industrial World Heritage. We point out trans-scalar considerations for future municipalities and regions looking to utilize their industrial landscapes and narratives.

We believe that more theoretical groundings in space and scale may lead to both the flexibility and the applicability needed to assess and, in turn, manage trans-scalar and trans-spatial complex heritage sites. These perspectives may be uniquely poised to assess the complex geographies of industrial, particularly mining, World Heritage Sites.

This paper aims to review the research on accounting professionalisation in China to develop insights into how the research is developing, offer a critique of the research to date and outline future research directions and opportunities.

This paper adopts a methodological approach of systematic literature review, as suggested by Tranfield et al. (2003) and Denyer and Tranfield (2009), to identify, select and analyse the extant literature on the Chinese public accounting profession. In total, 68 academic works were included in the review process.

This paper finds that the extant literature has produced fruitful insights into the processes and underlying motivation of accounting professionalisation in China, demonstrating that the Chinese experience has differed, to a large extent, from the hitherto mainly Anglo-American-dominated understandings of accounting professionalisation. However, due to the lack of common theoretical vernacular and an agreed upon focus, the extant literature illustrates a fragmented and contradictory picture, making attempts to accumulate prior knowledge in the field increasingly difficult.

This paper focusses only on research published in English. Consequently, the scope of review has been limited as some works published in languages other than English may be excluded.

This paper provides one of the pioneering exercises to systematically review the research on accounting professionalisation in China. It explores significant issues arising from the analysis and provides several suggestions for furthering the research effort in this field.

The purpose of this study is to provide evidence to support an emerging theory that interpersonal conflict is the primary cause of workplace stress among a self-selected sample of Irish construction managers.

Eighteen construction managers working in Ireland were recruited for this study. Using semi-structured interviews and interpretative phenomenological analysis as the research methodology, the causes of their workplace stress were investigated.

Participants reported that the principal cause of their workplace stress was high levels of interpersonal conflict between colleagues. The effects of this interpersonal conflict included avoidance behaviour, ill health, absences from the workplace and loss of productivity issues. Deadlines, penalty clauses, lack of appreciation, cliques, costs, communication, temporary contracts and delays were also reported stressors.

A limitation of the study is the small sample of 18 construction managers and the limited geographical area.

The social implications of this study could be to clearly identify that interpersonal conflict may be under reported in the construction industry, and there is a possibility that it is being misclassified as other workplace behaviours such as bullying, harassment and workplace violence. If this is so, this could aid future researchers in addressing this challenging workplace behaviour.

The current consensus in the literature is that the three main causes of workplace stress are bullying, harassment and violence. However, the role and importance of interpersonal conflict as reported in this study, with the exception of North America and China, is not reflected in the wider health and safety research literature. In addition, interpersonal conflict and its reluctance to be reported is largely absent from construction safety research. The findings of this study may be explained if the workplace stress research community is currently misclassifying interpersonal conflict as a manifestation of bullying, harassment or violence. If this is the case, interpersonal conflict needs further research. This is to establish if this cause of construction-related workplace stress needs to be reconsidered as a standalone phenomenon in the wider family of challenging workplace behaviours.