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Project scheduling/rescheduling occurs in all stages of projects, from feasibility stage to monitoring stage to completion. Since the late 1950s, network‐based techniques CPM (critical path method) and PERT (programme evaluation review technique) are the techniques commonly used for project management. However, there are limitations in working with these tools that need to be overcome. Also, the computing ef. ciency of classic CPM/PERT analysis needs to be enhanced. Substantial research has been carried out globally in this field covering all areas of project scheduling: time scheduling, resource scheduling, cost scheduling, modern project management techniques, advanced mathematical models used for construction scheduling, and so on. To understand and document this research status, the authors have carried out an extensive study of various journals, published and unpublished research papers, and present this literature review.

Understanding the interaction of turbulence and cavitation is an essential step towards better controlling the cavitation phenomenon. The purpose of this paper is to bring out the efficacy of different modelling approaches to predict turbulence and cavitation-induced phase changes.

This paper compares the dynamic cavitation (DCM) and Schnerr–Sauer models. Also, the effects of different modelling methods for turbulence, unsteady Reynolds-averaged Navier–Stokes (URANS) and detached eddy simulations (DES) are also brought out. Numerical predictions of internal flow through a venturi are compared with experimental results from the literature.

The improved predictive capability of cavitating structures by DCM is brought out clearly. The temporal variation of the cavity size and velocity illustrates the involvement of re-entrant jet in cavity shedding. From the vapour fraction contours and the attached cavity length, it is found that the formation of the re-entrant jet is stronger in DES results compared with that by URANS. Variation of pressure, velocity, void fraction and the mass transfer rate at cavity shedding and collapse regions are presented. Wavelet analysis is used to capture the shedding frequency and also the corresponding occurrence of features of cavity collapse.

Based on the performance, computational time and resource requirements, this paper shows that the combination of DES and DCM is the most suitable option for predicting turbulent-cavitating flows.

The article discusses the current relevance of artificial intelligence (AI) in research and how AI improves various research methods. This article focuses on the practical case study of systematic literature reviews (SLRs) to provide a guideline for employing AI in the process.

Researchers no longer require technical skills to use AI in their research. The recent discussion about using Chat Generative Pre-trained Transformer (GPT), a chatbot by OpenAI, has reached the academic world and fueled heated debates about the future of academic research. Nevertheless, as the saying goes, AI will not replace our job; a human being using AI will. This editorial aims to provide an overview of the current state of using AI in research, highlighting recent trends and developments in the field.

The main result is guidelines for the use of AI in the scientific research process. The guidelines were developed for the literature review case but the authors believe the instructions provided can be adjusted to many fields of research, including but not limited to quantitative research, data qualification, research on unstructured data, qualitative data and even on many support functions and repetitive tasks.

AI already has the potential to make researchers’ work faster, more reliable and more convenient. The authors highlight the advantages and limitations of AI in the current time, which should be present in any research utilizing AI. Advantages include objectivity and repeatability in research processes that currently are subject to human error. The most substantial disadvantages lie in the architecture of current general-purpose models, which understanding is essential for using them in research. The authors will describe the most critical shortcomings without going into technical detail and suggest how to work with the shortcomings daily.

Building project management (BPM) requires effective coordination and collaboration between multiple project team organisations which can be achieved by real time information flow between all participants. In the present scenario, this can be achieved by the use of information communication technologies (ICT). The purpose of this paper is to present part of a research project conducted to study the causal relationships between factors affecting ICT adoption for BPM by small and medium enterprises.

This paper discusses structural equation modelling (SEM) analysis conducted to test the causal relationships between quantitative factors. Data for quantitative analysis were gathered through a questionnaire survey conducted in the Indian construction industry.

SEM analysis results help in demonstrating that an increased and matured use of ICT for general administration within the organisation would lead to: an improved ICT infrastructure within the organisation; development of electronic databases; and a staff that is confident of using information technology (IT) tools. In such a scenario, staff would use advanced software and IT technologies for project management (PM) processes and that would lead to an increased adoption of ICT for PM processes. But, for general administration also, ICT adoption would be enhanced if the organisation is interacting more with geographically separated agencies and senior management perceives that significant benefits would accrue by adoption of ICT. All the factors are inter‐related and their effect cannot be maximized in isolation.

The results provide direction to building project managers for strategically adopting the effective use of ICT within their organisations and for BPM in general.

The purpose of the study was to assess the impact of nutrition and health counselling on quality of life (QoL) among celiac children (CC) aged 7-12 years, which was reported by the parent. So far, no study has emphasized on impact of nutritional counselling on QoL in CC. The QoL in the present study was reported by parents of celiac and non-celiac (NC) subjects.

This is an interventional study. Follow-up celiac cases aged 7-12 years (n = 50) were compared with NC cases (n = 25). A 24-item instrument was standardized for reliability and validity and was used to assess the QoL of children on a 100-score scale. The scale used four dimensions and explored physical, emotional, social and family outlook. The impact of health counselling using posters, leaflets and a booklet prepared on simplification of disease, gluten-free diet and its treatment was determined.

Total QoL scores were better in NC children (7-9 years), whereas celiac pre-adolescents (CP; 10-12 years) showed higher QoL scores than NC pre-adolescents. NC QoL scores were significantly higher than CC in emotional and mental domain (p < 0.02) and family outlook (p < 0.01). In CP, physical well-being (p < 0.01) and social well-being (p < 0.04) were significantly higher, whereas family outlook was significantly lower (p < 0.01). After repetitive counselling sessions, the CC had higher scores than their NC siblings. Postintervention QoL scores in CC (7-9 years) and pre-adolescents improved from 77.5 to 80.95 and from 80.16 to 83.75, respectively, and a significant positive shift was seen in family outlook (p < 0.05).

This study presents a comparative analysis on impact of nutrition counselling on QoL in Indian CC and their comparison with NC siblings matched for age.

This study aims to develop and validate a new cavitation model that considers thermodynamic effects for high-temperature water flows.

The Rayleigh–Plesset equation and “B-factor” method proposed by Franc are used to construct a new cavitation model called “thermodynamic Zwarte–Gerbere–Belamri” (TZGB) by introducing the thermodynamic effects into the original ZGB model. Furthermore, the viscous term of the Rayleigh–Plesset equation is considered in the TZGB model, and the model coefficients are formulated as a function of temperature. Cavitating flows around the NACA0015 hydrofoil under different water temperatures (25°C, 50°C and 70°C) at the angle of attack of 5° are calculated.

Results of the investigated temperatures show good agreement with the available experimental data. Given that the thermodynamic and viscosity effects are included in the TZGB model and the model coefficients are treated as a function of temperature, the TZGB model shows better performance in predicting the pressure coefficient distribution and length of cavity than the original ZGB cavitation model and other models do. The TZGB model aims to determine the thermodynamic and viscosity effects and perform better than the other models in predicting the mass transfer rate, particularly in high-temperature water.

The TZGB model shows potential in predicting the cavitating flows at high temperature and the computational cost of this model is similar to that of the original ZGB model.

The purpose of this paper is to identify and develop a hierarchical model for the barriers affecting the growth of mobile commerce (M-commerce). Based on the model developed, the authors’ objective is to identify those variables that are of strategic nature and are the root cause of the issue.

Variables considered as barriers are identified, and utilizing the interpretive structural model approach, a relationship model is developed. Further, the impact matrix cross-reference multiplication applied to a classification approach is used to analyze the effect and dependence among these factors.

The research in the area of M-commerce in the Arab world and related to the strategic aspect is limited in the extant literature. The present study tries to fill this gap by investigating the variables that inhibit the growth of M-commerce in Qatar. The research shows that there exists a group of barriers having a high driving power and low dependence requiring maximum attention and of strategic importance, while another group consists of those variables that have high dependence and are the resultant actions.

There is a growing concern that although the numbers of mobile subscribers are increasing at a very fast pace in Qatar, actual M-commerce activities in the country remain low. The findings of this study can be used to understand the differences between the independent and dependent variables and their mutual relationships. The study would also help the policy makers to develop suitable strategies to facilitate growth of M-commerce in the country.

This research was the first attempt to investigate the relationships among the variables inhibiting the growth of M-commerce in a fast-growing economy in a Gulf Cooperation Council (GCC) region. Given that there is limited research on M-commerce in the GCC context, the study can be viewed as an investigation that provides a good understanding of the variables and their interrelationships affecting M-commerce proliferation.

Building project management requires real time flow of information between all the project team members or the supply chain members. In the present scenario, when project participants are geographically separated, adoption of Information Communication Technology (ICT) enables such effective communication. But strategic adoption of ICT requires that all the supply chain members follow the accepted methods of communication or the communication protocols. The majority of the construction organizations are small and medium enterprises (SMEs). This research, therefore, proposes to focus on developing IT‐enhanced communication protocols for building project management by SMEs.

The research adopts a sequential mixed methods approach, where data collection and analysis are conducted in both the quantitative and qualitative phases of research.

The protocols are proposed as a “Strategic Model for Enhancing ICT Diffusion in Building Projects”. The framework for the model is discussed at three levels of study, i.e industry, organization, and people.

While the research was conducted in an Indian context, the research outcome is envisaged to be widely applicable in other countries with due considerations.

The developed framework has implications for national level bodies and academic institutions, organizations, people or project managers and is applicable at the international level after due considerations.

The purpose of this paper is to develop a comprehensive framework to identify and classify key medical tourism enablers (MTEs) and to study the direct and indirect effects of each enabler on the growth of medical tourism in India.

In this paper, an integrated approach using interpretive structural modeling (ISM) and Fuzzy Matrice d'Impacts Croisés Multiplication Appliquée á un Classement (FMICMAC) analysis has been developed to identify and classify the key MTEs, typically identified by a comprehensive review of literature and expert opinion. The key enablers are also modeled to find their role and mutual influence.

The key finding of this modeling helps to identify and classify the enablers which may be useful for medical tourism decision makers to employ this model for formulating strategies in order to overcome challenges and to become a preferred medical tourism destination. Integrated model reveals enablers such as medicine insurance coverage, international healthcare collaboration, and efficient information system as dependent enablers. No enabler is found to be autonomous enablers. The important enablers like healthcare infrastructure facilities and global competition are found as the linkage enablers. Research in medicine and pharmaceutical science, medical tourism market, transplantation law, top management commitment, national healthcare policy, competent medical and para-medical staffs are found as the independent enablers. Integrated model also establishes the direct and indirect relationship among various enablers.

The research provides an integrated model using ISM and FMICMAC to identify and classify various key enablers of medical tourism in India. In conventional cross-impact matrix multiplication applied to classification analysis, binary relationship of various enablers is considered. FMICMAC analysis helps to establish possibility of relationship among various enablers so that low-key hidden factors can be identified. The low-key hidden factors may initially exhibit marginal influence but they may show significant influence later on during analysis. The uncertainty and fuzziness of relationship among various enablers can be conveniently handled by FMICMAC and expert opinions can easily be captured. This research will help medical tourism decision makers to select right enablers for the growth of medical tourism in India.

The purpose of this study is to identify corporate blog design characteristics that positively influence the view of actual and potential corporate blog users. Moreover, based on the technology acceptance model (TAM), the paper examines the specific mechanism through which corporate blog design characteristics influence the acceptance of corporate blogs and assess the cross-country applicability of the developed framework.

Based on primary data of 992 individuals in three countries (Germany, Russia, and the USA), the paper tests the identified design characteristics and the proposed framework using exploratory and confirmatory factor analysis (CFA), multi-group confirmatory factor analysis, and structural equation modeling.

The results show the applicability of the TAM in the context of corporate blogs. Blog management and usability were found to be key determinants of perceived ease of use. Entertainment value as well as content value and interaction positively affect perceived enjoyment. Content value as well as blog management and usability are the key determinants of perceived usefulness of corporate blogs. Mediation tests revealed a partial mediation of the distal corporate blog design characteristics on attitude and usage intention by the proximal TAM elements.

The sample was self-selected from internet users and a limited number of countries. Associations with and understanding of the term “corporate blog” might vary between internet users as well as between the three focus countries.

Based on the research, companies are better able to adapt corporate blogs to target group characteristics and thus can better reach communication goals. The research can be used both for the establishment of new corporate blogs as well as for the adaptation of existing corporate blogs.

This study contributes to the existing literature by identifying and examining design characteristics that affect individuals' perceptions of corporate blogs. Furthermore, this is the first large-scale cross-country study in this research context that identifies the mechanism through which firms can actively influence the perceived usefulness, ease of use, and enjoyment of corporate blogs, which is important to better understand individuals' acceptance of corporate blogs in different national contexts.