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Digitalization has significantly impacted the job roles of construction professionals globally. This study aims to investigate how to manage the adverse effects of digitalization on roles of quantity surveyor (QS) by assessing the level of digitalization of quantity surveying key roles identifying the adverse effects of digitalization on key roles and proposing mitigation strategies to manage adverse effects. It addresses a critical gap by providing a nuanced understanding of adverse effects faced by QSs due to digital advancement.

Adopting an interpretive stance, the research involved three rounds of 16 semistructured interviews with experts selected through heterogeneous purposive sampling. The data were analyzed using code-based content analysis with NVivo12.

The study identified ten quantity surveying key roles adopting digital technologies. While digitalization has enhanced efficiency and accuracy, it has also introduced adverse effects such as increased workload, potential burnout due to skills shortages, resistance to digital tools and data security concerns. Effective mitigation strategies include task prioritization, balancing traditional and digital skills and investing in continuous training. The study underscores the need for ongoing professional development for QSs and organizational restructuring to support digital integration, enhance workflow efficiency and reduce resistance to technological changes.

This study’s novel contribution lies in its exploration of the adverse effects of digitalization on the QSs, usage and the level of adaptation of digital tools by QSs and strategies to manage them. Therefore, the findings of this study serve as precious steerage for QSs to have an in-depth understanding of digitalization’s usage and level of adaptation, its adverse effects and mitigation of the adverse effects.

This study’s novel contribution lies in its exploration of the adverse effects of digitalization on the QSs, usage and the level of adaptation of digital tools by QSs and strategies to manage them. Therefore, the findings of this study serve as precious steerage for QSs to have an in-depth understanding of digitalization’s usage and level of adaptation, its adverse effects and mitigation of the adverse effects.

With the rising needs of health-care (HC) services during the health outbreaks, it is essential to upgrade the existing HC delivery infrastructure. The study aims to prioritize and highlight the interrelationships among the key factors of the smart health-care supply chain (HCSC) by implementing the concept of Industry 4.0.

The key factors of implementing Industry 4.0 in HCSC have been identified through extensive literature review and stakeholders' opinions. To achieve the abovementioned objectives, the present study proposed hybrid multi-criteria decision-making (MCDM) tools, namely, the fuzzy-analytic hierarchy process (AHP) and fuzzy- decision-making trial and evaluation laboratory (DEMATEL). The Fuzzy-AHP prioritized the factors of implementing Industry 4.0 in HCSC, while the cause–effect relationships among the factors have been explored using fuzzy-DEMATEL.

The results of the study indicated that HC logistics management (HCLM) is the most prioritized factor of implementing Industry 4.0 in HCSC, followed by the integrated HCSC, then sustainable HCSC practices, HCSC innovation and technological aspects, HCSC institutional perspectives, HCSC competitiveness, social aspects and economic factors of HCSC. The cause–effect analysis has highlighted integrated HCSC, HCLM, HCSC competitiveness and social aspects as the cause group factors and they are the critical success parameters for implementing Industry 4.0 in the HCSC.

The results of the study can be useful for policymakers, humanitarian organizations, health administrators and other decision makers considering the smartening of HCSC to enhance the operational performance of health facilities.

This is one of the few studies to have been conducted so far in which the subfactors of HCSC implementing Industry 4.0 have been identified and analyzed using the fuzzy-AHP and fuzzy-DEMATEL hybrid approach.

Digital lean implementation can solve the dual problem of stagnating quality and rising costs in healthcare. Although technology adoption in healthcare has increased in the post-COVID world, value unlocking using technology needs a well-thought-out approach to achieve success. This paper provides a prescriptive framework for successfully implementing digital lean in healthcare.

This study uses a mixed-method approach to achieve three research objectives. Whilst it uses a narrative review to identify the enablers, it uses qualitative thematic analysis techniques to categorise them into factors. The study utilises the delphi method for the thematic grouping of the enablers in the broader groups. The study used an advanced ordinal priority approach (OPA) to prioritise these factors. Finally, the study uses concordance analysis to assess the reliability of group decision-making.

The study found that 20 identified enablers are rooted in practice factors, followed by human resource management (HRM) factors, customer factors, leadership factors and technology factors. These results further counter the myth that technology holds the utmost significance in implementing digital lean in healthcare and found the equal importance of factors related to people, customers, leadership and best practices such as benchmarking, continuous improvement and change management.

The study is the first of its kind, providing the prescriptive framework for implementing digital lean in healthcare. The findings are useful for healthcare professionals and health policymakers.

This paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.

Analytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.

The results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.

Supply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.

This research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.

This purpose of this study is to provide an overview of the current state of research on Lean Six Sigma (LSS) and Industry 4.0 and the key aspects of the relationships between them. The research analyses LSS's evolution and discusses the future role of LSS 4.0 in an increasingly digitalized world. We present the benefits and motivations of integrating LSS and Industry 4.0 as well as the critical success factors and challenges within this emerging area of research.

A systematic literature review methodology was established to identify, select and evaluate published research.

There is a synergistic nature between LSS and Industry 4.0. Companies having a strong LSS culture can ease the transition to Industry 4.0 while Industry 4.0 technologies can provide superior performance for companies who are using LSS methodology.

One limitation of this research was that as this area is a nascent area, the researchers were limited in their literature review and research. A more comprehensive longitudinal study would yield more data. There is an opportunity for further study and analysis.

This study reviews the evolution of LSS and its integration with Industry 4.0. Organisations can use this study to understand the benefits and motivating factors for integrating LSS and Industry 4.0, the Critical Success Factors and challenges to such integration.

This is the first systematic literature review on LSS 4.0 and can provide insight for practitioners, organisations and future research directions.

The paper aims to study the influence of Industry 4.0 technologies on the business sustainability of private hospitals by focusing on the mediating role of total quality management practices in private hospitals in the West Bank.

Data from the top and middle managers of private hospitals in the West Bank regions of Palestine were collected through a questionnaire assessed for validity and reliability. Furthermore, we used the structural equation modelling technique of partial least squares for the data analysis.

The findings confirm that Industry 4.0 technologies do not affect business sustainability. The findings also emphasise the association between Industry 4.0 technologies and total quality management philosophy, and total quality management completely mediates the relationship between Industry 4.0 and business sustainability.

This study provides practical implications for achieving the hospital sector's sustainability by merging Industry 4.0 technologies with total quality management practices, which provides valuable insights into the hospital's policies and practices and individuals vital to data exchange and policy enforcement within the sustainability of organisations.

This study is one of the first to investigate the combined effects of Industry 4.0 technologies, total quality management and business sustainability in the healthcare industry following the COVID-19 outbreak. This research is one of few empirical works exploring the interface between Industry 4.0 technologies and total quality management in developing countries, specifically Palestine.

Administrative processes play a crucial role in various sectors, often contributing to cost overruns and delays. While lean concept has been extensively applied in many industries, there is a recognized need for further research on the integration of lean in administrative processes. To address this research gap, this study aims to systematically analyse the implementation of lean in administrative processes, providing a sector-wise comparison to explore its prospects for the construction industry.

A systematic literature review was conducted by adapting the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method. Eighty-six research papers are subjected to descriptive and content analysis on different tools applied in lean integrated administrative processes in health care, education, public administration and other sectors.

The research study reveals common lean tools irrespective of sector. Moreover, specific tools used for a particular sector are analysed. Out of the various lean tools and techniques, value stream mapping, 5S and Kaizen are highly acknowledged tools in every sector of lean intervention. Furthermore, ECRS is applied explicitly in the education sector. Furthermore, it is noted that Suppliers, Inputs, Process, Outputs and Customers (SIPOC), 5whys, load levelling and control charts are identical to administrative processes in lean health care. Furthermore, Spaghetti charts and Kaikaku are only adapted to administrative processes in the public administration sector, and causal loop diagrams are used explicitly in administrative processes in the construction sector.

This study contributes to research by developing a guideline to design lean intervention for a lean-integrated administrative process in any sector which still needs to be transformed into lean. Hence, this study will be a cornerstone for incorporating lean principles for administrative processes in construction sector.

The main purpose of this research is to (1) prioritise key determinants of Industry 4.0 (I4.0) readiness assessment and (2) evaluate causal relationships among those determinants and associated sub-criteria based on inputs from industry experts.

The methodology involved two phases: (1) an MCDM approach for determining causal relationships among determinants and (2) empirical validation of findings from the first phase using industry experts' inputs.

It was found that while the choice of I4.0 technologies is important, organisational factors are also critical, as evidenced by the ranking of the “Strategy and Organisation” determinant as the highest rank prominent determinant. Also, the ranking of the sub-criteria within each determinant shows the importance of several organisational influencing and resulting sub-criteria.

This research extends the existing literature on I4.0 by demonstrating the prioritisation of determinants and delineating causal relationships among them and associated sub-criteria as a basis for developing I4.0 adoption guidelines. This research is limited to the specific scope of determinants selected/considered and experts' inputs from the Sri Lankan manufacturing sector. Future studies could consider extending this research into a broader global manufacturing context.

Prioritisation and causal relationships of I4.0 readiness assessment determinants, supported with inputs from functional managers and industry experts, could be used to guide practitioners in developing guidelines for I4.0 adoption in a phased manner.

This research provides a re-evaluation and validation of a selected I4.0 readiness assessment framework from the perspectives of interdependencies and casual relationships among its determinants and sub-criteria, based on inputs from industry experts as a basis for developing guidelines for I4.0 adoption.

Emerging public discourses on Islam and Islamophobia in Western countries have led to religious discrimination among this group. This exploratory study aims to understand how marketers promote anti-discrimination efforts against Muslims on the notion of future collective unity.

This exploratory study uses Social Identity theory to explain the behaviour and attitude of vulnerable Muslims. The dimension of racialisation, the Whiteness theory, the oppression model and the ethnocentrism theory were synthesised to explain the practice of racism and oppression. The theory of customer diversity, equity and inclusion was synthesised to understand the importance of inclusive marketing. Data were gathered through in-depth interviews with 15 senior marketing executives.

This study observed how the minority Muslims had influenced the marketers' behaviours in combating anti-religious discrimination through various tactics such as extending the corporates' products and services offerings, being inclusive and avoiding stereotyping in their marketing communication styles and shifting the company's processes and systems to meeting this group's cultural needs.

While this study sample's demographics were motivated by senior marketing executives' profiles, most of the participants were highly educated, had similar cultural backgrounds and were mainly from the West.

This study attempts to shed light on the understanding of Muslims’ discrimination or Islamophobia in non-Muslim majority countries. It is hoped that this study acts as a catalyst for collective unity and would galvanise communities, including marketers to tackle discrimination through a better understanding of a targeted group like Muslims in the marketplace. In this current time of racial and religious tension, business leaders and marketers can act as mediators of social change to normalise more positive relations between minority and mainstream consumers.

The aim of this study is to investigate how green supply chain management (GSCM) practices mediate the effect of Industry 4.0 technologies on operational and green innovation performances.

To explore the study, data were collected from 225 different manufacturing industries in Pakistan. Gathered data were used to test the hypotheses using SmartPLS 3 software by using structural equation modeling.

The findings reveal that operational and green innovation performances are directly affected by the adoption of Industry 4.0 technologies and GSCM practices. Furthermore, the GSCM practices positively affect operational and green innovation performances. The study also investigated that the GSCM practices partially mediate the effect of Industry 4.0 on operational and green innovation performances.

This study has some limitations, the data of this study were majorly collected from large enterprises of Pakistani firms and related to the manufacturing sector only. So, there is a huge need for attention toward small and medium-sized enterprises (SMEs). Very few researchers are focusing on SMEs, so future research can be on SMEs. It can be suggested that the relationship between digital technologies and green innovation performance can be tested through a quantitative procedure. Moreover, the effect of GSCM's aspects can be estimated on manageable execution.

Through the mediating relationship of GSCM practices, this research has made a unique contribution by investigating the influence of Industry 4.0 on operational and green innovation performances. To the author's knowledge, no research has been undertaken in this area.