Search results

Based on social exchange and social learning theories, this study explicates the mediating role of individual-level human capital, structural capital and relational capital in linking servant leadership with the innovative work behavior (IWB) of employees.

Data were collected from 256 manager–employee dyads from the IT sector of Pakistan in three phases through a survey conducted two months apart.

Results showed that two dimensions of individual-level intellectual capital, namely, individual-level human capital and individual-level relational capital, mediated the relationship between servant leadership and IWB, whereas individual-level structural capital did not mediate the relationship between the two variables.

This study confirms the relationship between servant leadership and IWB and tests the mediating role of the three facets of individual-level intellectual capital in linking servant leadership with the IWB of employees.

To better understand the resilience of project management (PM) companies post-pandemic and gain insights into the interplay of the level of preparation, the status of the project and the size of the company.

Logistic regression was used to analyse the data from 285 companies belonging to more than 7 sectors to understand the crucial factors required to have above-standard project performance post-pandemic.

Higher project performance was observed in companies with more than 30 years of experience, whereas company history, target group or PM activity did not predict better project performance. The retail sector is leading across all the sectors, whereas the majority of companies have still not recovered from the pandemic.

New factors like planning and controlling phases in PM are identified in Gulf Cooperation Council (GCC) settings to be most impacted post-pandemic, whereas size and length of being in business are other key variables highlighted in this research for better PM performance post-pandemic.

A large-scale analysis of 285 Saudi companies is quite novel in scale and innovation. This cross-sector empirical research highlights key areas of consideration post-pandemic, which were missing from the narrative due to access and emerging issues earlier.

This study aims to identify and examine the critical resultant impacts of the coronavirus (COVID-19) pandemic on quality assurance (QA) of cross-border construction logistics and supply chain (CB-CLSC).

This is achieved via embedded mixed-method design pragmatically involving desk literature review, survey and interviews from related experts within the Hong Kong Special Administrative Region (SAR)–Mainland China links. The design is further integrated with descriptive analysis, criticality test, rank agreement analysis, spearman correlation test and sentiment analysis.

The study revealed 10 critical resultant impacts of the COVID-19 pandemic on the QA of CB-CLSC, with the top three including “increased use of digital technologies (M10)”, “worker absence, labour shortage and decrease in work rate (M3)” and “changes to how construction sites operate (M9)”. Three underlying dimensions were discovered among all the critical resultant impacts: “cost-time-worker (CTW)-related impacts”, “work contract and operation (WCO)-related impacts” and “work process (WP)-related impacts”. The critical resultant impacts are reflected in the time, cost, raw materials and work processes, and this could manifest as negative as well as an opportunity to position the QA system to be adequate during the pandemic and post-pandemic era.

The study contributes to the knowledge body as it identifies and examines the critical resultant impacts of the COVID-19 pandemic on the QA of CB-CLSC. This is original research with invaluable primary data collected in the form of surveys and interviews from construction quality experts within the Hong Kong (SAR)–Mainland China links, known as the world’s factory.

The building sector is vital to a nation’s economy, as it has a major influence on economic activity and growth, job creations and the advancement of infrastructure. Intricate challenges that are inherent in crises such as the COVID-19 outbreak lead to material scarcities, project delays, labor shortages, escalated expenses, funding challenges, regulatory obstacles and dwindling investment funds, all of which culminate in costs that are in excess of those budgeted. While numerous studies have explored the ramifications of COVID-19 on project budgets, there is little, if any, data available on forecasting the magnitude of this impact.

This investigation seeks to bridge this knowledge deficiency by devising a predictive tool grounded in an ordinal logistic regression method. An online survey was designed and disseminated to gauge the views of construction field experts about the diverse contributors to excessive costs during the viral outbreak, and a predictive tool, crafted from the survey participants’ feedback.

Findings showed that smaller-scale enterprises and contractor-centric establishments faced greater adversities than medium-to-large ones and consultancy-or-owner-type entities.

The insights from this research shed light on the amplified risk of higher project costs amid health crises or analogous events, underlining the imperative need for fortified risk management approaches to bolster project outcomes. By factoring in demographics, this research offers policymakers a refined lens through which to customize interventions and promote balanced and enduring advancement in the construction industry.

The purpose of this study is to explore the suggestions that construction processes could be considerably improved by integrating building information modelling (BIM) with 3D laser scanning technologies. This case study integrated 3D laser point cloud scans with BIM to explore the effects of BIM adoption on ongoing construction project, whilst evaluating the utility of 3D laser scanning technology for producing structural 3D models by converting point cloud data (PCD) into BIM.

The primary data acquisition adopted the use of Trimble X7 laser scanning process, which is a set of data points in the scanned space that represent the scanned structure. The implementation of BIM with the 3D PCD to explore the precision and effectiveness of the construction processes as well as the as-built condition of a structure was precisely captured using the 3D laser scanning technology to recreate accurate and exact 3D models capable of being used to find and fix problems during construction.

The findings indicate that the integration of BIM and 3D laser scanning technology has the tendency to mitigate issues such as building rework, improved project completion times, reduced project cost, enhanced interdisciplinary communication, cooperation and collaboration amongst the project duty holders, which ultimately enhances the overall efficiency of the construction project.

The acquisition of data using 3D laser scanner is usually conducted from the ground. Therefore, certain aspects of the building could potentially disturb data acquisition; for example, the gable and sections of eaves (fascia and soffit) could be left in a blind spot. Data acquisition using 3D laser scanner technology takes time, and the processing of the vast amount of data acquired is laborious, and if not carefully analysed, could result in errors in generated models. Furthermore, because this was an ongoing construction project, material stockpiling and planned construction works obstructed and delayed the seamless capture of scanned data points.

These findings highlight the significance of integrating BIM and 3D laser scanning technology in the construction process and emphasise the value of advanced data collection methods for effectively managing construction projects and streamlined workflows.

Creativity and productivity are important factors for corporate and government institutions in the COVID-19 era. As a result, there is an urgent need to ensure that construction projects can recover adequately to survive potential surges or even potential epidemics. Therefore, this study aims to explore social capital by examining the effect/impact of knowledge creation on construction performance in the COVID-19 era.

A simple random sampling approach focused on Ghanaian construction firms was used. Completed responses were obtained and analyzed from employees who had tasks on sites. SmartPLS 3.3.3 and Statistical Package for Social Sciences v. 26 was used.

One key finding from this research was that construction firms with solid social capital built by their management staff are more connected and have better adaptive systems than firms with low capital. A company’s development programs must concentrate not only on the development of targeted or selective know-how and professional abilities but also on capacity creating, collaboration and knowledge creation and sharing among its employees.

Using this study’s findings, construction professionals can develop successful solutions to the COVID-19 epidemic and future emergencies. Additionally, the comprehensive exposition of the implications, constraints and preventive methods in this study may enable scholars to discover current gaps in the literature and investigate other elements of the pandemic’s influence on the construction industry.

The study examines the influence of quality management practices (QMP) on project performance (PP) and the indirect association of QMP with PP through the mediating role of intellectual capital (IC). QMP may be one of the most successful strategies to improve project performance. Drawing on the resource-based view (RBV) and institutional theory, the study examines the impact of QMP on PP through the mediating role of IC.

The sample frame of 329 employees in different NGOs and public healthcare organizations was selected. Data were analyzed on SmartPLS 3.2.7 by applying SEM.

The outcome reveals that QMP has a significant impact on PP. The results found partial mediation of IC on the linkage between QMP and PP.

The key research limitation was that it examined only two antecedents (QMP and IC) of project performance based on RBV and institutional theory, which did not yield deep insights from other institutional forces that could influence the model, such as mimetic pressure, institutional pressure and business orientation.

QMP is highly significant in the healthcare sector; however, research on the relationship between QMP, IC and PP is lacking. Thus, this research is an initial attempt to investigate these relationships empirically. We add to our understanding of RBV by investigating the role of IC in mediating the QMP-PP linkage.

There are many areas of research that are untapped in Islamic banking, and human capital is one of them. This paper aims to systematical review the relevant literature on human capital and Islamic banking.

The review process involved a structured search using well-established academic databases, Scopus and Web of Science, resulting in the selection of relevant articles. The paper has been divided into three major themes, besides other discussions on the literature, including methods of measuring human capital, determinants of human capital and human capital and performance of Islamic banks.

A few pioneering studies have explicitly examined human capital in the Islamic banking domain, while others have encompassed it under the broader umbrella of intellectual capital. The most common method of measuring human capital is accounting based, while few have adopted disclosure and survey methods as well. There are few studies that explored the determinants of human capital having focus on corporate governance, while many of the studies have explored the nexus of human capital and financial performance.

This review strongly highlights the need for more focused research on human capital within the Islamic banking sector. As Islamic banking necessitates unique human capital characteristics, it is essential to delve deeper into this aspect. Furthermore, there is a call to expand the human capital index by incorporating comprehensive aspects relevant to Islamic banking. An important area that requires further exploration is the role of Shariah governance in shaping human capital development within Islamic finance, understanding the reasons behind the observed negative correlation.

Despite its significance, the relationship between human capital and Islamic banking has received limited attention. This review paper not only addresses this gap but also lays the groundwork for future studies in this important and emerging field.

The effects of the COVID-19 outbreak on the construction industry were formidable and far-reaching, as the construction sector is a major contributor to the gross domestic product (GDP), which balances various sectors of the global economy, and to infrastructure growth, which is a primary gauge of a nation’s advancement. The outbreak led to workforce disruptions, worker deficits, dwindling efficiency, elongated project durations, and scarce opportunities for training and mentorship, and despite endeavors to mitigate these challenges, construction timelines experienced significant interruptions. Various researchers have pinpointed contributing elements, but few have constructed a predictive model to gauge the degree of impact.

Therefore, this research intends to fill by introducing an ordinal logistic regression method to forecast the impacts of a pandemic or other similar type of crisis. To achieve this, an online survey was developed and distributed to collect the perceptions of the construction engineers and managers about the diverse contributors to the exceeding project timelines during the COVID-19 pandemic outbreak.

Findings from this study indicate that financial liquidity, modifications to original plans, delays in securing governmental clearances, and a shortage of competent labor have medium-to-high levels of impact on project schedules.

This study will furnish decision-makers with crucial knowledge that will give them the tools to refine their strategies and judiciously allocate resources to overcome the unique hurdles encountered by various construction segments and will enhance the industry's capability to respond more effectively to challenges inherent in this type of crisis.

The main purpose of this study is to determine the antecedent factors of smart government service apps intention and its impact on actual use by extending the unified theory of acceptance and use of technology (UTAUT) in the Jordanian context.

To achieve the main purpose, a quantitative method was used to test collected data, and hypotheses testing through using statistical package for social sciences (SPSS) and smart partial least squares software.

The findings indicate that social media advertising has a positive effect on both social influence and peer influence. Furthermore, it demonstrated a significant effect of social influence on performance expectancy. In addition, there is a direct correlation between the government capacity, effort expectancy, facilitating conditions and the intention to use e-government services. Lastly, the results mainly show that the actual use of e-government services is significantly and positively influenced by intention and self-isolation. Next, as expected, self-isolation moderated the relationship between intention to use and actual use of e-government services via the Sanad application, and hence the related hypothesis was supported.

This study provides practical recommendations for the policy-makers in the Jordanian e-government and Ministry of Digital Economy and Entrepreneurship (MoDEE) in Jordan.