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In this case study, we offer an analysis of feedback from a student experience survey completed by Black undergraduate students who received proactive, targeted coaching and mentoring support during 2021–2022. All the students were studying at a large higher education institution in the United Kingdom which offers a broad range of degree courses by distance learning.

This paper reports on the intervention delivered and analyses the student experience of being offered, and receiving, proactive coaching and mentoring. It is based on the responses of 102 students who engaged with the experience survey after having self-selected to receive the intervention. What follows is an analysis of their experiences using a qualitative in vivo approach based on word frequency in students’ free-text comments.

The findings presented are that, in this intervention, students who self-select to receive coaching and mentoring support experience tangible (self-reported) behaviour changes with potentially longer term benefits for their studies. These include improved self-confidence and self-efficacy, increased proactive help-seeking behaviour, greater recognition of strengths and achievement and personal growth and self-awareness.

In presenting this case study, we aim to contribute to the growing corpus of practitioner case studies and research papers that show the benefits of coaching and mentoring in higher education and – more specifically – why coaching and mentoring can be a worthwhile targeted intervention for students from underrepresented backgrounds. This lends support to the growing consensus that students with positive, proactive help-seeking behaviours perform better than students not able to access support (Byrne et al., 2014). We conclude the case study with some practical implications for providers looking to provide targeted support to students.

Drawing on social exchange literature, this study explores the mediating role of affective commitment between employees' assessments of contract breaches and opportunistic silence, along with the invigorating effect of hostile attribution bias.

We tested the hypotheses using multi-wave data collected from employees working in higher education institutions in Pakistan.

Perceived contract breaches elicit intentional, selfish and retaliatory motives of silence, largely because employees lack emotional attachments to their organization. This mechanism is more prominent among employees who tend to blame others and perceive them as antagonistic even when they are not.

For human resource managers, this investigation highlights a crucial feature – affective commitment – by which employees' perceptions of psychological contract breaches facilitate opportunistic silence. Our results suggest that this process is more likely to intensify when employees have distorted thinking, motivating them to attribute the worst motives to their employer's actions.

Perceived contract breaches within universities can have far-reaching societal consequences, affecting trust, reputation, economic stability, and the overall quality and accessibility of education and research. Addressing and preventing such breaches is essential to maintaining the positive societal role of universities.

This study provides novel insights into the process that underlies the connection between perceived contract breach and opportunistic silence by revealing the hitherto overlooked role of employees' hostile attribution bias, which renders them more susceptible to experiencing unfavorable forms of social exchange.

The application of integrated project delivery (IPD) in conjunction with building information modeling (BIM) and Lean Construction (LC) as the efficient method for improving collaboration and delivering construction projects has been acknowledged by construction academics and professionals. Once organizations have fully embraced BIM, IPD and LC integration, a measurement tool such as a maturity model (MM) for benchmarking their progress and setting realistic goals for continuous improvement will be required. In the context of MMs literature, however, no comprehensive analysis of these three construction management methods has been published to reveal the current trends and common themes in which the models have approached each other.

Therefore, this study integrates systematic literature review (SLR) and thematic analysis techniques to review and categorize the related MMs; the key themes in which the interrelationship between BIM, IPD and LC MMs has been discussed and conceptualized in the attributes; the shared characteristics of the existing BIM, IPD and LC MMs, as well as their strengths and limitations. The Preferred Reporting Items for Systematic Reviews (PRISMA) method has been used as the primary procedure for article screening and reviewing published papers between 2007 and 2022.

Despite the growth of BIM, IPD and LC integration publications and acknowledgment in the literature, no MM has been established that holistically measures BIM, IPD and LC integration in an organization. This study identifies five interrelated and overlapping themes indicative of the collaboration of BIM, IPD and LC in existing MMs' structure, including customer satisfaction, waste minimization, Lean practices and cultural and legal aspects. Furthermore, the MMs' common characteristics, strengths and limitations are evaluated to provide a foundation for developing future BIM, IPD and LC-related MMs.

This paper examines the current status of research and the knowledge gaps around BIM, IPD and LC MMs. In addition, the highlighted major themes serve as a foundation for academics who intend to develop integrated BIM, IPD, and LC MMs. This will enable researchers to build upon these themes and establish a comprehensive list of maturity attributes fulfilling the BIM, IPD and LC requirements and principles. In addition, the MMs' BIM, IPD and LC compatibility themes, which go beyond themes' intended characteristics in silos, increase industry practitioners' awareness of the underlying factors of BIM, IPD and LC integration.

This review article is the first of a kind to analyze the interaction of IPD, BIM and LC in the context of MMs in current AEC literature. This study concludes that BIM, IPD and LC share several joint cornerstones according to the existing MMs.

The main aim of this study is to understand the role of smart technologies and show the rankings of various smart technologies in collection and classification of electronic waste (e-waste).

This study presents a framework integrating the concepts of collection and classification mechanisms and smart technologies. The criteria set includes three main, which are economic, social and environmental criteria, including a total of 15 subcriteria. Smart technologies identified in this study were robotics, multiagent systems, autonomous tools, smart vehicles, data-driven technologies, Internet of things (IOT), cloud computing and big data analytics. The weights of all criteria were found using fuzzy analytic network process (ANP), and the scores of smart technologies which were useful for collection and classification of e-waste were calculated using fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR).

The most important criterion was found as collection cost, followed by pollution prevention and control, storage/holding cost and greenhouse gas emissions in collection and classification of e-waste. Autonomous tools were found as the best smart technology for collection and classification of e-waste, followed by robotics and smart vehicles.

The originality of the study is to propose a framework, which integrates the collection and classification of e-waste and smart technologies.

Profit shifting is a matter of great concern for governments internationally. It leads to the loss of tax revenues and puts multinational corporations (MNCs) in a disparate position. Lately, due to the aggressive stance of the Indian taxman, several Indian MNCs are planning to minimise their tax outflows. This paper aims to study profit-shifting drawing from the institutional theory for the Indian MNCs.

The sample comprises 679 MNCs listed on the Bombay Stock Exchange or the National Stock Exchange with either Indian parents with foreign subsidiaries (553) or Indian subsidiaries of a foreign parent (126) for FY 2013–14 to FY 2018–19. A fixed-effect panel regression technique was invoked to examine tax rate differential motivated profit-shifting undertaken by MNCs with the moderating effect of international presence and patents.

The results suggest that MNCs shift their profits to take advantage of differences in global tax rates when they have an international presence in at least five tax countries. Further, profit shifting is likely towards no-tax compared to low-tax countries, with the presence of patents in an MNC group having no significant impact.

Losses to the government revenue due to profit shifting by MNCs are rather severe in emerging economies. The study provides the first empirical evidence of the direction of profit shifting with the moderating effect of the extent of global presence and group patents, which would interest scholars in the field. The findings provide valuable insights to the policymakers, highlighting the urgent need to operationalise the general anti-avoidance taxation rules.

This paper aims to identify and provide a theoretical explanation for the barriers that hinder the adoption of emerging technologies in the architecture, engineering and construction industry, irrespective of the company’s size, specialization or geographical location. In addition, the paper proposes potential areas for future research in this domain.

A list of barriers hindering the adoption of emerging technologies was identified and clarified using a systematic literature review of various scientific sources.

Twenty-five barriers were recognized and explained and some suggestions for future research studies were provided.

The barriers related to a specific country or region or to a specific technology were excluded.

By providing a deeper comprehension of the barriers hindering the adoption of emerging technologies, this review is expected to encourage their adoption in the industry. Furthermore, it could prove valuable in devising effective strategies for the successful implementation of these technologies.

Critical realism is an increasingly popular “lens” through which complex events, entities and phenomena can be studied. Yet detailed operationalisations of critical realism are at present relatively scarce. This study's objective here is built on existing debates by developing an open systems model of reality, a basis for designing appropriate, internally consistent methodologies.

The authors use a qualitative case study examining changing practices for client contact management in professional services firms during restrictions imposed by the COVID-19 crisis to show how the model can be operationalised across all stages of a research study.

This study contributes to the literature on qualitative applications of critical realism by providing a detailed example of how the research paradigm influenced choices at every stage of the case study process.

More importantly, this model of reality as an open system provides a tool for other researchers to use in their own operationalisation of critical realism in a variety of different settings.

This qualitative work aims to explore the university students’ attitude toward advantages, drawbacks and prospects of ChatGPT.

This paper applies well accepted Colaizzi’s phenomenological descriptive method of enquiry and content analysis method to reveal the ChatGPT user experience of students in the higher education level.

The study’s findings indicate that ChatGPT enhances the quality of learning and facilitates faster learning among university students. However, despite numerous positive outcomes, it is noted that ChatGPT may diminish students' creativity by swiftly addressing their critical queries. Over time, students may experience a decline in patience and critical thinking skills as they excessively rely on ChatGPT, potentially leading to ethical misconduct.

This paper primarily explores the advantages and drawbacks of using ChatGPT in the university context of Bangladesh. The present study creates a platform for future research in this domain with comprehensive study design. The study results alert the policy makers to improve upcoming version of ChatGPT with convenient user experience and academicians as this paper unleash several positive as well as negative consequences of using this AI-enabled chatbot.

The proliferation of lean principles in the construction industry is offset by the enduring uncertainty among industry stakeholders regarding their respective roles in lean implementation. This uncertainty is further compounded by the scarcity of empirical investigations in this area. Consequently, this study undertakes the task of bridging this knowledge gap by identifying the critical roles of lean learners and their indispensable contributions to achieving successful lean implementation.

A qualitative exploratory approach informed by an interpretivism perspective was adopted. The case study strategy was employed to gather data from three contracting organisations that had implemented lean practices. Empirical data was collected through in-depth semi-structured interviews with fifteen industry experts and complemented by document reviews. To analyse the data, a code-based content analysis approach was employed using NVivo software, while Power BI software was utilised to develop a comprehensive force-directed graph visualisation.

The research findings substantiated nine lean learners and unveiled a set of seventy-three roles associated with them. The force-directed graph facilitated the identification of lean learners and their connections to the emerged roles. Notably, the graph highlighted the pivotal role played by project managers and internal lean trainers in ensuring the success of lean implementation, surpassing the contributions of other lean learners.

The implications of findings extend to industry professionals seeking to establish a robust lean learning framework to expedite lean implementation within the construction sector. This study not only provides a comprehensive definition of lean learners’ roles but also transcends specific construction types, making it a significant catalyst for global impact.

The ancient settlements of the M'zab Valley in Algeria, called ksour, are still being used by local inhabitants a thousand years after their construction. The main objective of this study was to discover why, despite the formation of new residential areas, these settlements have been able to survive and maintain their original functions.

The authors used the concept of living heritage sites as an analytical framework. The field data were collected through semi-structured interviews and analyzed through qualitative content analysis.

This study revealed that the reasons for the survival of these settlements were cultural and social rather than physical. Four main factors play a role in the survival of these settlements: (1) solidarity and unity among the inhabitants, (2) built environment as an ancestral heritage and a symbol of identity, (3) comfort and convenience in ksour and (4) social control and adherence to tradition. However, some concerns have arisen in recent decades that may endanger the viability of these settlements in the future, requiring more attention from the government.

While previous studies on urban heritage and World Heritage Sites (WHSs) have mainly focused on tourism development and conservation issues, this paper emphasized a less-studied aspect of these sites, i.e. continuity and sustainability. All previous studies on the WHSs of the M'zab Valley have addressed the traditional architecture and the climatic design of houses without sufficiently addressing other factors that have contributed to the sustainability and resilience of these settlements.