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This study aims to investigate the dynamic influences of clustered barriers that hinder electronic procurement technology (EPT) implementation in construction procurement, using the neuro-fuzzy system.

A comprehensive literature review was conducted and 21 barriers to EPT implementation within construction projects were identified. Based on an expert survey, 121 datasets were gathered for this study. Using mean and normalization analysis for the datasets, 15 out of the 21 barriers were deemed to have critical influences in EPT barriers phenomenon. Subsequently, the critical barriers were classified into five groups: human-related; technological risk-related; government-related; industry growth-related; and financial-related. The relationships and influence patterns between the groups of barriers to EPT implementation were analyzed using the neuro-fuzzy system. Furthermore, sensitivity analysis was performed to examine the dynamic influence levels of the barriers within the hindrance level composition.

The results reveal that addressing one barrier group does not reduce the high levels of hindrances experienced in EPT implementation. However, addressing at least two barrier groups mostly tends to reduce the hindrance levels for EPT implementation. Further, this study revealed that addressing some barrier group pairings, such as technological risk-related and government-related barriers, while other barrier groups remained at a high level, still resulted in high levels of hindrances to EPT implementation in construction procurement.

This study provides insights for researchers to help them contribute to the development of theory with contemporary approaches based on the influence patterns of barrier interrelationships.

This study provides a model that would help practitioners and decision makers in construction procurement to understand and effectively determine the complex and dynamic influences of barrier groups to EPT uptake, for the development of suitable mitigation strategies.

This study provides novel insights into the complex influence patterns among grouped barriers concerning EPT adoption in the construction industry. Researchers and practitioners are equipped with knowledge on the influence patterns of barriers. This knowledge aids the development of effective strategies that mitigate the combined groups of barriers, and promote the wider implementation of EPT in the construction industry.

The successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and particularity. Employing key performance indicators (KPIs) facilitates the monitoring of HPs to advance their successful delivery. This study aims to comprehensively investigate the KPIs for hospital planning and construction (HPC).

The KPIs for HPC were identified through a systematic review. Then a comprehensive assessment of these KPIs was performed utilizing a meta-analysis method. In this process, basic statistical analysis, subgroup analysis, sensitive analysis and publication bias analysis were performed.

Results indicate that all 27 KPIs identified from the literature are significant for executing HPs in P&C phases. Also, some unconventional performance indicators are crucial for implementing HPs, such as “Project monitoring effectiveness” and “Industry innovation and synergy,” as their high significance is reflected in this study. Despite the fact that the findings of meta-analysis are more trustworthy than those of individual studies, a high heterogeneity still exists in the findings. It highlights the inherent uncertainty in the construction industry. Hence, this study applied subgroup analysis to explore the underlying factors causing the high level of heterogeneity and used sensitive analysis to assess the robustness of the findings.

There is no consensus among the prior studies on KPIs for HPC specifically and their degree of significance. Additionally, few reviews in this field have focused on the reliability of the results. This study comprehensively assesses the KPIs for HPC and explores the variability and robustness of the results, which provides a multi-dimensional perspective for practitioners and the research community to investigate the performance of HPs during the P&C stages.

In recent decades, interest in digital transformation (DX) within the architecture, engineering, and construction (AEC) industry has significantly increased. Despite the existence of several literature reviews on DX research, there remains a notable lack of systematic quantitative and visual investigations into the structure and evolution of this field. This study aims to address this gap by uncovering the current state, key topics, keywords, and emerging areas in DX research specific to the AEC sector.

Employing a holistic review approach, this study undertook a thorough and systematic analysis of the literature concerning DX in the AEC industry. Utilizing a bibliometric analysis, 3,656 papers were retrieved from the Web of Science spanning the years 1990–2023. A scientometric analysis was then applied to these publications to discern patterns in publication years, geographical distribution, journals, authors, citations, and keywords.

The findings identify China, the USA, and England as the leading contributors in the field of DX in AEC sector. Prominent keywords include “building information modeling”, “design”, “system”, “framework”, “adoption”, “model”, “safety”, “internet of things”, and “innovation”. Emerging areas of interest are “deep learning”, “embodied energy”, and “machine learning”. A cluster analysis of keywords reveals key research themes such as “deep learning”, “smart buildings”, “virtual reality”, “augmented reality”, “smart contracts”, “sustainable development”, “building information modeling”, “big data”, and “3D printing”.

This study is among the earliest to provide a comprehensive scientometric mapping of the DX field. The findings presented here have significant implications for both industry practitioners and the scientific community, offering a thorough overview of the current state, prominent keywords, topics, and emerging areas within DX in the AEC industry. Additionally, this research serves as an invaluable reference and guideline for scholars interested in this subject.

Heritage buildings are a witness to previous civilizations and constitute important elements in transmitting cultural identity through generations. In 1938, Alexandria University was established; it was called the University of Farouk at the time. In 1952, the university was named “Alexandria University,” and since then, it has witnessed growth and expansion in several fields. The research aims to preserve the heritage of this academic institution. It seeks to document this wealth of buildings that tell the story of the second-earliest university in Egypt.

A mixed-method approach was employed. A descriptive method was used to narrate the history of the university and the importance of its buildings. Within the quantitative approach, a questionnaire was chosen as the survey instrument for collecting the data within the research case study. The aim was to determine the awareness of students, staff and employees of the heritage importance of their faculty. Within the qualitative approach, several interviews were conducted with employees in the engineering departments of the university administrative building at Chatby and some of the selected faculties. The aim was to determine the methods used for the conservation of these buildings.

Alexandria University has a heritage value not only in its great history but also through its heritage buildings. Raising the awarness of the university's affiliates of this heritage will lead to enhance the feelings of loyalty and belongings to the university. Therefore, preserving this heritage and properly managing it is crucial.

Universities have to recognize that their built heritage constitutes a unique expression that can create a distinctive sense of place. University heritage is crucial in defining and interpreting the university cultural identity. The institution must identify resources that will help build a new public image and contribute to develop a successful brand. Campus appearance is an important factor that has a significant impact on student feelings of loyalty and belonging.

Reverse logistics (RL) activities are becoming crucial in today’s business environment because of their ability to enhance organizational capabilities to manage waste and resources effectively and efficiently as an approach for achieving sustainability. These capabilities can eventually create sustainable competitive advantage (SCA). Drawing on resource-based view (RBV), this study posits RL as a tool to develop capabilities gained from high performance (financial and nonfinancial) to enhance SCA.

Covariance-based structural equation modeling (SEM) was used to analyze 1,207 responses collected from manufacturing organizations operating in Egypt. Data were gathered through an online survey sent via email to manufacturing organizations operating in Egypt, particularly Cairo, Giza and Alexandria, as these governorates contain most business activities in Egypt and hence high a percentage of waste.

Results indicated that RL activities (recycling, remanufacturing, repair, recondition and disposal) can fully mediate the relationship between organizational performance (financial and nonfinancial) and SCA. However, the remanufacturing and recycling mediating roles between financial performance and SCA were not significant.

Applying this research in a developing country (Egypt) will help extend RBV and incentivize organizations to apply RL activities, which can potentially solve several environmental issues such as decreasing waste.

Using the research variables in combination will help in filling the literature gap as previous research focused on RL and only organizational operational performance, where RL was used as an independent variable with no illustration of how its dimensions affect performance or its mediating role between performance and SCA.

This study aims to develop and test a model of the wellness spa hotel experience. The model proposes that experiencescape dimensions (sensory, functional, social, natural and hospitality culture) are important antecedents of guest satisfaction with a wellness spa hotel experience. The study also tests the relationship between satisfaction, wellness-induced well-being, experience co-creation and word-of-mouth (WOM).

Data was collected in the post-pandemic period, during September–November 2022 from 567 domestic guests who had stayed in a wellness spa hotel in Serbia.

Besides the social experience scape dimension, all other dimensions of experiencescape (sensory, functional, natural and hospitality culture) were found to be positive drivers of guest satisfaction with a wellness spa hotel experience. The relationship between satisfaction, wellness-induced well-being, experience co-creation and WOM was also supported.

This study emphasises the role of experiencescape in concurrence with the antecedents in cultivating guest satisfaction with a wellness spa hotel experience, which further influences wellness-induced well-being, experience co-creation and WOM.

The purpose of this study is to analyse the perception of employees towards training and also examine the mediation effect of employee engagement between training and task performance.

An integrated model has been developed highlighting the relationship of the motivation for training and support for training and their implications on task performance through the mediating role of employee engagement. Using the sample of 397, structural equation modelling has been used with the help of SPSS and AMOS to validate the hypothesized relationship and evaluate the responses of employees working in travel agencies operating in Delhi (capital), India.

The findings of this study demonstrated a positively significant relationship between training and task performance of employees in the tourism and hospitality industry. Simultaneously, employee engagement positively mediates the relationship between training and task performance directly and indirectly. This study goes over the ramifications of the findings and offers some suggestions for practical implementations.

The findings of this study can be used by managers and HR professionals to organize exclusive training programs for improving employees’ performance based on the dimensions used in this study. This study also suggests that training program enhances employee engagement in organizational activities which leads to build up team work and overall organizational as well as individual performance.

This study also introduces a conceptual model and theoretical framework that provide a significant contribution to the training and task performance of employees. This study provides a strong theoretical foundation by incorporating the social exchange theory to confirm the role of employee engagement in performance. Further, this novel piece of research explores the relationship between training and task performance with employee engagement as a mediator, especially in the Indian tourism and hospitality industry.

The aim of this study is to investigate the extent to which organizational justice (OJ) mediates between responsible leadership (RL) and employee turnover intention (TI).

Both online and offline questionnaire was used to collect the data from 387 Indian health-care employees, and the data were analyzed using partial least squares structural equation modeling (PLS-SEM) with the help of SmartPLS 4.

The study’s findings demonstrated a significant positive association between RL and OJ and a negative association between OJ and employee TI. Furthermore, results also confirmed the mediating role of OJ between RI and TI.

The generalizability of the study‘s data collection is limited because it is based on the responses of Indian health-care sector employees to an online and offline survey. The authors propose that the health-care sector uses RL as an approach that takes a broad view of the parties with a stake and focuses on creating fairness in acts and justice at the workplace to address the major issue of employee turnover.

This study expanded on previous research by demonstrating that the influence of responsible leadership on employee TI is mediated by OJ in the context of India’s health-care sector. It also contributes to the literature regarding RI, OJ and TI. The study also enriched the body of knowledge about using the PLS-SEM approach to predict employee TI.

This study examines the direct and indirect effects of organizational environmental orientation (EO)/culture, quality management practices (QMP) and sustainability experience (SE) on the relationship between organizational green practices (GP) and the triple bottom line (TBL) of sustainability performance (SuP).

To test the seven hypotheses, a structured questionnaire was used to collect data. The responses of 365 managers from various USA businesses in the service industries were analyzed using IBM SPSS and structural equation modeling (SEM)-AMOS.

The empirical results indicate that positive SuP in the economic, environmental and social dimensions and organizational GP can be improved by a strong culture of EO, effective QMP and substantial SE.

This research fills the gap in existing research between important organizational and environmental priorities and SuP. Consequently, the study provides managers with important strategic guidance: for environmental practices to achieve profitability and sustainability success, companies must promote an environmental-mindful culture and strategically invest in integrated QM systems.

This research is one of the first that explores how organizational environmental culture and QMP affect directly and indirectly the relationship between GP and SuP. These results provide empirical evidence to support the claim that environmental culture and QMP have significant direct and indirect effects on the relationship between GP and SuP dimensions.

This study aims to comprehensively examine the respiratory infection prevention and control measures used in South African workplaces, particularly in the context of facilities management (FM), during the 2020–2022 pandemic.

The present research involved pre-crafted semi-structured interviews conducted by University of the Witwatersrand students with FM heads in Johannesburg, South Africa. Recurrent themes were generated using NVIVO software and analysed using frequencies, word counts and word clouds.

This study identified 119 measures and placed these into two broad categories. Twelve critical measures were found. These measures were further validated by five FM experts, separate from FM heads, who cross-referenced them with WHO guidelines, enhancing the credibility of the findings. Subsequently, challenges with implementing these measures were explored.

The findings have direct relevance to the work of FM professionals, as they suggest that applying timely and comprehensive infection prevention and control measures can help employees to safely continue to work or return to the workplace during any future epidemic outbreaks.

Thus far, limited studies have explored critical measures used to prevent and control COVID-19 in the workplaces of developing countries during the 2020–2022 pandemic.