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This study aims to explore the “psychological contract of safety” (PCS), a key factor in the safety climate (SC), which relies on the behavioral safety actions of workers at construction sites. While numerous factors have been identified in various sectors across different countries, there is a consensus among researchers that there is a dearth of common assessment factors specifically for the Indian construction industry (ICI). Therefore, this study undertakes a systematic review of existing literature to identify the factors that determine PCS in construction and to ascertain the relative importance index (RII) of these variables and their interrelationships using structural equation modelling (SEM).

A structured survey was conducted among 420 professionals in the ICI to collect data. This data was then analyzed using descriptive and inferential statistical methods to derive results.

The findings of the study indicate that PCS factors have a significant impact on the construction industry (CI). The inferential analysis ranks “Safety System” as the top factor with the highest RII value. The chi-square results highlight two key SC factors that enhance and regulate an organization’s safety performance. The SEM results reveal that SC factors contribute to the improvement of PCS and influence worker safety behavior.

The outcomes of this study will be beneficial for stakeholders aiming to improve safety at construction sites and enhance safety performance by fulfilling the mutual safety obligations of employers and employees and by improving safety norms, procedures and policy-making. This paper also provides a theoretical framework for scholars to reassess the results in various contexts.

This paper aims to focus on compliance of workplace sexual harassment-related provisions under Indian companies and securities law, based on an empirical analysis of companies’ sexual harassment-related disclosures contained within their directors’ annual reports (ARs). Specifically, sections devoted to sexual harassment-related disclosures, inbuilt within directors’ ARs for the financial year 2019–2020 for a selected sample of companies listed under the National Stock Exchange, have been analysed.

To examine the nature of companies’ disclosures to demonstrate their compliance with statutory requirements under the POSH law, aligned with the Companies (Accounts) Rules, 2014 and Securities and Exchange Board of India’s regulations, an empirical-based, descriptive content analysis of ARs of 200 listed companies were used.

This study primarily finds that the majority of companies from the sample have disclosed to have prepared a corporate-level policy, as required under the POSH law. As also required under the POSH law, companies, reportedly, have constituted an Internal Complaints Committee to adjudicate and dispose of incidents related to sexual misconduct reported at their workplaces. However, companies lack in disclosing qualitative information, with sufficient detail, on many important aspects related to prevention and resolution of reported cases of workplace sexual harassment.

This paper adds to the broader narrative of the lacunae within the disclosure and reporting requirements on enhancing the liabilities of the companies to prevent and address sexual harassment under India’s corporate and securities regulations.

The purpose of this study is to target utilizing Human resources (HRs) data analytics that may enhance strategic business, but little study has examined how it affects components. Data analytics, HRM and strategic business require empirical investigations and how to over come HR data analytics implementation issues.

A semi-systematic methodology for its evaluation allows for a more complete examination of the literature that emerges theoretical framework and a structured survey questionnaire for quantitative data collection from IT sector personnel. SPSS analyses data.

Future research is essential for organisations to exploit HR data analytics’ performance-enhancing potential. Data analytics should complement human judgment, not replace it. This paper details these transitions, the important contributions to theory and practice and future research.

Data analytics has grown rapidly and might make HRM practices faster, more efficient and data-driven. HR data analytics may improve strategic business. HR data analytics on employee retention, engagement and organisational success is insufficient. HR data analytics may boost performance, but there is limited proof. The authors do not know how HRM data analytics influences firms and employees.

Data analytics offers HRM new opportunities, along with technical and ethical challenges. This study makes a significant contribution to HR data analytics, evidence-based practice and strategic business literature. In addition to estimating turnover risk, identifying engagement factors and planning interventions to increase retention and engagement, HR data analytics can also estimate the risk of employee attrition.

The COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and services. To mitigate these disruptions, it is essential to identify the barriers that have impeded the seamless operation of SCs. This study identifies these barriers and assesses their impact on supply chain network (SCN).

To determine the relative importance of different barriers and rank the affected industries, a hybrid approach was employed, combining the best-worst method (BWM) and the technique for order preference by similarity to an ideal solution (TOPSIS). To accommodate the inherent uncertainties associated with the pandemic, a triangular fuzzy TOPSIS was used to represent the linguistic variable ratings provided by decision-makers.

The study found that the airlines and hospitality industry was the most affected by the barriers, accounting for 46% of the total, followed by the healthcare industry (23%), the manufacturing industry (19%), and finally the consumer and retail industry (17%).

This study is limited to the four critical industries and nine identified barriers. Other industries and barriers may have different weights and rankings. Nevertheless, the findings offer valuable insights for decision-makers in SC management, aiding them in mitigating the impact of COVID-19 on their operations and enhancing their resilience against future disruptions.

This study enhances understanding of COVID-19’s impact on SCN and provides a framework for assessing disruptions using multi-criteria decision-making processes. The hybrid approach of BWM and TOPSIS in a fuzzy environment is unique and offers potential applicability in various evaluation contexts.

Coronavirus disease (COVID-19) was declared as a pandemic since COVID-19's widespread outbreak and the hospitality industry has been the hardest hit due to lockdown. Consequently, hospitality workers are suffering from the negative aspects of mental health. In the event of such a crisis, this study aims to explore the link between unemployment and home isolation to the willingness to choose electronic consultation (e-consultation) by exploiting psychological ill-being and behavioural intention (BI) with marital status as a moderator.

A quantitative methodology is applied to primary data collected from 310 workers from the hospitality industry through an online survey.

Findings of this study suggest that the usage of the e-consultation service can be adopted using three levels. There are valid reasons to conclude unemployment and home isolation are linked to higher rates of psychological health behaviours, which can result in stigma, loss of self-worth and increased mortality. The adverse effect is higher for single individuals than for married people.

The study focussed on e-consultation, BI coupled with the Fishbein scale and a classification model for the prediction of willingness to choose e-consultation with the extension of Theory of Planned Behaviour (TPB).

Science mapping is an essential application of visualization technology widely used in safety, construction management and environmental science. The purpose of this study was to explore thermal comfort in residential buildings (TCinRB) research in India, identify research trends using a science mapping approach and provide a perspective for recommending future research in TCinRB.

This study used the VOSviewer tool to conduct a systematic analysis of the development trend in TCinRB studies in India based on Scopus Index articles published between 2001 and 2020. The annual numbers of articles, geographical locations of studies, major research organizations and authors, and the sources of journals on TCinRB were presented based on the analysis. Then, using co-authorship analysis, the collaborations among the major research groups were reported. Furthermore, research trends on TCinRB studies were visually explored using keyword co-occurrence analysis. The emerging research topics in the TCinRB research community were discovered by analyzing the authors’ keywords.

The findings revealed that studies had been discovered to pay more attention to north-east India, vernacular architecture, Hyderabad apartments and temperature performance in the past two decades. Thermal adaptation, composite climate, evaporative cooling and clothing insulation are emerging research areas in the TCinRB domain. The findings summarized mainstream research areas based on Indian climatic zones, addressed current TCinRB research gaps and suggested future research directions.

This review is particularly significant because it could help researchers understand the body of knowledge in TCinRB and opens the way for future research to fill an important research gap.

The article analyzes the challenges Slovak businesses and organizations are facing in relation to the Covid-19 pandemic and the resulting human resource management solutions they apply.

The authors present a part of their research conducted in six Central Eastern European (CEE) countries. Based on timely data, the article presents socioeconomic characteristics of Slovakia and the results of the research “HRM Challenges in Times of the Covid-19 Crisis” conducted among employers in Slovakia. The survey method encompassed 247 Slovakian organizations.

The year 2020 was an extraordinary one for businesses, governments, and individuals alike. According to the results of this research, Slovak organizations were not prepared for the Covid-19 crisis. Respondents who had a pandemic action plan at the time of the breakout were hardly found. Measures taken to preserve human health directly impacted the way how work is done and organized. This poses significant challenges for both employers and employees. In general, small organizations used cost and staff reduction tools. On the other hand, some of the respondents, mainly large organizations have been using future-oriented solutions, e.g. organizational development.

In this research the authors analyzed the experiences of a Central European country, namely Slovakia. However, the experiences gained and collected here can be useful in the international arena as well.

This study aims to explore the mechanism by which intellectual capital and corporate social responsibility (CSR) influence the sustainable competitive performance of small and medium-sized enterprises (SMEs), with the mediating role of organizational innovation in an emerging economy.

The data collection was conducted through a survey completed by 208 owners and top managers operating in the service, trading and manufacturing sector SMEs, positioned within twin cities of Pakistan. Structural equation modeling (SEM) was utilized for data analysis.

The results of the study suggest that intellectual capital and CSR have a markedly positive influence on the sustainable competitive performance of SMEs. The organizational innovation appears to mediate these relationships.

This study pioneers research on the links between intellectual capital, CSR organizational innovation and sustainable competitive performance of SMEs. The current research contributes to the literature by defining intellectual capital and CSR as an antecedent and organizational innovation as an intervening variable for the sustainable competitive performance of SMEs. In addition, this study underlines the significance of intellectual capital and CSR activities as valuable intangible assets for the achievement of sustainable competitive performance of SMEs.

Cloud computing gives several on-demand infrastructural services by dynamically pooling heterogeneous resources to cater to users’ applications. The task scheduling needs to be done optimally to achieve proficient results in a cloud computing environment. While satisfying the user’s requirements in a cloud environment, scheduling has been proven an NP-hard problem. Therefore, it leaves scope to develop new allocation models for the problem. The aim of the study is to develop load balancing method to maximize the resource utilization in cloud environment.

In this paper, the parallelized task allocation with load balancing (PTAL) hybrid heuristic is proposed for jobs coming from various users. These jobs are allocated on the resources one by one in a parallelized manner as they arrive in the cloud system. The novel algorithm works in three phases: parallelization, task allocation and task reallocation. The proposed model is designed for efficient task allocation, reallocation of resources and adequate load balancing to achieve better quality of service (QoS) results.

The acquired empirical results show that PTAL performs better than other scheduling strategies under various cases for different QoS parameters under study.

The outcome has been examined for the real data set to evaluate it with different state-of-the-art heuristics having comparable objective parameters.

Augmented reality (AR) and virtual reality (VR) are becoming increasingly interwoven into people's daily lives, with applications in fields such as science, engineering, medical, the arts, education, finance and business. While much study has been conducted in the field of VR and AR in a variety of areas, less attention has been paid to online education. The purpose of this research is to conduct a systematic review of studies on AR and VR, as well as its applications in many disciplines of education, with a special emphasis on online education.

The data were gathered from the SCOPUS database under the subject “Augmented and Virtual Reality Applications in Online Education.” The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) format has been used to summarize the available literature and research in academics throughout the world. First, systematic literature reviews and later bibliometric analysis were conducted for performance and science mapping analysis.

The research adds to the body of knowledge about the role of AR and VR in online education and its future prospects. AR and VR have demonstrated a substantial contribution to facilitating teaching in a variety of fields, including engineering, medicine, nursing and chemistry. Additionally, this research indicates that AR and VR can be utilized to teach various areas and specialties. Additionally, it can be used in other aspects of online education, such as admissions, industry visits, training, internationalization and specific courses for students with disabilities.

This research lays the framework for educational institutions, legislators and researchers to investigate additional applications of VR and AR. Though this research suggests some possible uses for AR and VR in the online education system, more applications can be integrated into the online education system to fully leverage the potential of AR and VR worldwide. AR and VR have the potential to be a very cost-effective method of delivering online education on a wide scale in the future.

The article explores the applicability of VR and AR in education using bibliometric analysis. This is one of the first studies to do an assessment of VR and AR, evaluating their strengths, drawbacks and current applications. Future application areas are also identified as a result of the investigation.