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The purpose of this study is to investigate the impact of Corona Virus Disease 2019 (COVID-19) on the outcome of construction projects and explore the moderating effects of emerging technologies on the relationship between COVID-19 and construction project outcomes.

Data for the study was collected through a Web-based, semistructured questionnaire. The responses of 62 construction practitioners were analyzed using a hierarchical linear regression model. The model consists of 16 independent variables, three control variables (organization size, organization type and project size), one moderator (adoption level of emerging technologies) and three dependent variables (project time, project cost and project quality).

The study confirms the negative significant impact of the COVID-19 pandemic on the performance of construction projects. It also identifies the significant moderating effects of emerging technologies in mitigating the impact of COVID-19 on construction projects. Further, it shows a significant increase in the application of emerging technologies in construction projects during the COVID-19 pandemic. Based on the findings related to the moderating impact of the technology, this study provides a clear set of recommendations for construction firms, public sector and research community in combating the unavoidable situation similar to the COVID-19 pandemic in the future.

To the best of the authors’ knowledge, this is the first study to identify the moderating role of technology on the impact of COVID-19 on the performance of the construction sector in Pakistan. The findings can also be used for the construction sectors of other developing countries.

This study examines scholarly communications in the International Journal of Managing Projects in Business (IJMPB) and identifies the journal's leading trends from 2008 to 2019.

This study analyzed a sample of 522 articles published in the IJMPB since its inception in 2008 until 2019. A set of bibliometric measures was used in the study to identify publication trends, citation structures, leading authors, institutions and countries. Additionally, analysis of research methodologies, industrial sectors and research themes of the articles was carried out through a rigorous content analysis. To examine the changes in journal expansion over time, the duration of publications (from 2008 to 2019) was divided into three subperiods.

The study findings show that 793 authors from 370 institutions and 58 countries contributed to the journal during this period. In terms of contributions, Australia and the Scandinavian countries are at the top, while Asian and African countries occupy a lower position. Moreover, among authors, Derek H.T. Walker was found to be the most prolific, with the highest weighting score and number of articles. Similarly, RMIT University of Australia emerged as the most productive institution. The articles were predominantly case studies followed by mixed methods (i.e. both surveys and interviews are used for data collection). Most of the articles in the sample were related to project management in general. However, several articles reported on construction, information technology (IT) and manufacturing projects.

This study is useful for the researcher community to understand the journal's scientific productivity. Further, it will also help identify dominant topics in the field of project management.

This is the first comprehensive review article presenting a general overview of the journal's leading trends and researchers since its inception in 2008.

The COVID-19 pandemic has brought profound changes to all sectors of society including the construction sector. The main purpose of this study is to explore and provide insights into the impact and changes that have occurred in the construction sector due to COVID-19 and to present a mitigation framework to minimize the effects.

The scope of this study is limited to peer-reviewed articles in Scopus or Web of Science indexed journals. A systemized review was performed with bibliometric and content analyses of articles related to the impact of COVID-19 on the construction sector.

Through content analysis, the main topics discussed in the selected articles were grouped into 10 categories. Most of these studies were found to have focused on the challenges, impact, and health and safety at construction sites resulting from the pandemic. The study further identified 39 subtopics through detailed content analysis and organizes them into the categories of negative impacts, positive impacts and opportunities and barriers to COVID-19 safety guidelines in the construction sector. Moreover, the study developed a systematic mitigation strategy based on the recommendations of the literature review to reduce the impact of the current pandemic on the construction sector. The mitigation strategy presents separate set of measures regarding safety guidelines, process improvements, government intervention, psychological support and technology adoption.

The research insights provided in this study are useful for practitioners in guiding them to design effective strategies for addressing the challenges of the COVID-19 pandemic and future crises. Furthermore, a systematic presentation of the impacts, challenges and mitigation measures in this study will help researchers to identify existing gaps in the literature and explore other aspects of the impact of the pandemic on the construction sector.

The purpose of this study is to examine the effect of Islamic financing (IF) and labor relationship development (LRD) toward nonperforming financing (NPF) in Islamic banks. This research aims to identify the connection between IF products and the practice of loan officers building a relationship with loan customers (also known as LRD) and its influence on NPF.

This study uses a quantitative field research that emphasizes upon analysis of numerical data which are processed with statistical methods. Furthermore, the source is secondary data from financial statements of Islamic banks such as annual reports or financial disclosures. These sources of data are used to examine NPF facilities from 2008 to 2012. Moreover, primary data collected via questionnaire are used to investigate IF and LRD. The banks where the study was conducted are: Bank Muamalat Indonesia and Bank Danamon Shari’ah in Surakarta, Indonesia. The population in this study is 15 employees who work as account officers in Bank Muamalat Indonesia and Bank Danamon Shari’ah. The techniques of data collection in this study are documentation, questionnaires and literary study. In this study, the data analysis technique was multiple regression analysis and examination using SPSS version 21. These methods were used for analyzing the effect of IF and LRD toward NPF.

IF has a significant effect on NPF. In contrast, the LRD has no effect on NPF in Islamic banks. In addition, both IF and LRD simultaneously had an effect on NPF in Islamic banks.

This study does not cover all Islamic banks in Surakarta because of limited data; thus, in future research, the sample size could be increased by including all Islamic banks in Surakarta, Indonesia. Furthermore, this study does not take into consideration the fact that IF includes product financing. For future studies, the population and samples should be improved and take into consideration that product financing does exist in Islamic banks; moreover, future studies could provide other variables which are appropriate for current studies.

The results support the recommendation for Islamic banks in Surakarta to enhance the capability of employees to develop their knowledge in IF. Because the performance of a bank does not only depict financial performance but also nonfinancial performance such as services, knowledge and employees’ performance.

This study examines the association between stock returns and wealth creation (as measured by Market Value Added, MVA) on the one hand, and various performance measures of joint stock companies in Saudi Arabia. These measures include traditional accounting measures; Earning Per Share (EPS), Return on Equity (ROE), and Cash Flow (CF), as well as a relatively recent measure; the Economic Value Added (EVA). The study reveals strong links between various traditional accounting measures and show that those measures give similar indication of a company's overall performance. The results indicate that MVA and stock returns are associated with traditional accounting measures, but not with EVA. However, EPS is found to dominate other measures of performance with respect to its association with stock returns and MVA. The implications of this study are that investors in the Saudi market are most likely using simple traditional accounting performance measures in their valuing of companies, and hence more efforts should be directed to enforcing disclosure requirements for these measures.

The research empirically examines the role of artificial intelligence (AI) integrated with social customer relationship management (SCRM) in multinational enterprises (MNEs) towards international relationship management under social distancing conditions due to the COVID-19 pandemic.

The study initially undertakes pertinently focused theoretical research in the fields of international marketing, knowledge management, and customer relationship management. And, utilizing the theories of resource-based view (RBV) and dynamic capability view (DCV) theory, the study develops a theoretical model that is subsequently empirically validated through a survey and structural equation modeling.

The study highlights the importance and means of adopting AI-integrated social CRM by MNEs, in the context of international relationship management, under the Covid-19 social distancing conditions. The study more specifically elucidates the role and significance of MNE leadership approach and support towards the adoption of AI-integrated social CRM systems and, ultimately, performance improvement of MNEs under such conditions.

The study presents insights and prescriptive explications on a topic at the heart of state-of the-art technology-based international marketing in the explicit context of the primary business-defining environment of the Covid-19 pandemic. The research provides practicable suggestions to MNEs' leadership towards the adoption of an AI-integrated social CRM system. And the study presents a unique model for international relationship management under social distancing conditions, potentially applicable during other crises.

The research is original and on a ‘fresh’ topic that combines the latest technological advancements in business (AI-integrated CRM) with the present critical business context (pandemic). The research develops a tested theoretical model that (a) is unique in its field; (b) provides a solid foundation for further research; (c) bears generic value and application during other-than-Covid-19 conditions; and (d) enhances the understanding of important fields of international marketing, including international customer relationship management and global knowledge management.

This study explores whether the peer effects of internationalization exist within the subdivision industry of enterprises in the engineering field and assesses the imitation paths for the peer engineering enterprises within the industry when implementing internationalization strategies under the peer effects.

This study collected secondary and objective data on 38 Chinese engineering enterprises from the Engineering News-Record's list of the top 250 international contractors between 2013 and 2021. It employed a regression analysis to test the research hypotheses.

The findings reveal that in the process of internationalization: (1) peer effects exist within the subdivision industry of internationalization of engineering enterprises; (2) engineering enterprises within the same industry and region imitate each other; (3) non-state-owned engineering enterprises imitate state-owned engineering enterprises within the same industry; and (4) in the industry follower–leader imitation process, industry followers imitate leaders according to enterprise size and return on assets.

The results contribute to a better understanding of how peer effects influence engineering enterprises' internationalization process. This study also proposes imitation paths based on the law of imitation to provide recommendations for engineering enterprises' better development in the international market.

The COVID-19 impact across major sectors did not exempt the low-cost housing (LCH) sub-sector. This may have increased the existing LCH demand-supply gap, especially in developing countries such as Malaysia. Studies showed that government policy (GP) aids in mitigating COVID-19 impact on goods and services, including housing-related issues. However, there is an academic literature scarcity regarding GP on LCH demand-supply gap during the COVID-19 crisis in Malaysia. Hence, this study aims to investigate the moderating effect of GP on the relationship between LCH demand-supply gap and COVID-19 impact in Malaysia.

The research utilised a quantitative method in collating the data from four major cities in Malaysia. SmartPLS was utilised to analyse the usable 305 questionnaires retrieved from respondents. Structuralist Theory supported the developed framework.

Findings show that GP moderates the relationships between the LCH demand-supply gap and COVID-19 impact on Malaysia's low-income groups' (LIGs) homeownership delivery. It implies that the study's findings provide more understanding of issues influencing LCH demand-supply gap in the COVID-19 era via applying GP to mitigate the gap and improve homeownership for the disadvantaged.

The study intends to stir policymakers toward formulating policies and programmes that will mitigate LCH demand-supply gap during the present and future pandemics.

Besides the theoretical value of the developed model, policymakers can use the study's recommendations to mitigate future LCH demand-supply gaps during pandemics in developing countries using Malaysia as a case study.

The impact of the coronavirus disease 2019 (COVID-19) pandemic on architectural education (AE) was investigated, and a framework was proposed to reduce the impacts' negative consequences.

Systematic literature review, bibliometric and content analyses were combined to gain an in-depth understanding of the effects of the pandemic on AE and projections for its future. Relevant documents were extracted from the Web of Science (WoS) database. Bibliometric connections in the context of AE and COVID-19 pandemic were explored using text-mining and content analysis was performed.

The challenges, development tendencies and collaboration networks in AE during the pandemic were quantitatively and qualitatively analyzed. The most influential articles, journals, authors and countries/regions were highlighted using a bibliometric analysis. The analysis of keyword tendencies and clusters indicates that new concepts have emerged in AE research during the pandemic involving online, in-person and hybrid education. Using content analysis of 57 subtopics, 39 (18) were categorized as having negative (positive) effects. A comprehensive mitigation framework was designed to reduce the impact of the pandemic on AE.

The study findings can enable practitioners to construct effective solutions to COVID-19- and other disaster-related problems regarding AE. The implications, obstacles and mitigation framework presented can help identify gaps in the literature and guide further research.

This paper presents the first bibliometric and content analysis of AE and COVID-19 pandemic-related studies published from January 2020 to June 2022 to highlight several research directions and academic development within the field.

The purpose of this paper is to quantify the evolutionary mechanism of coronavirus disease 2019 (COVID-19) impact on international construction multi-projects.

From three concepts of complexity, stressor and detractor risks, a multi-project simulation model under COVID-19 outbreak is proposed to study the characteristics of contingency with three peaks of ordered and disordered states. Specially, COVID-19 brings forth mitigation fee, epidemic prevention fee, holdup fee and schedule delay fee of multi-projects. By integrating parametric model, Monte Carlo and chaos theory, a comparative analysis of its contingency with or without COVID-19 is conducted. Summarizing the simulated results, their total contingencies at certain risk tolerance are obtained at two status of static at one-time point and dynamic over time. Meanwhile, some major risks including detractors, complexities and stressors are screened out for mitigation, especially for epidemic prevention and control. Eventually, the real case is illustrated to demonstrate its validity.

It provides a quantitative analysis framework for the impact of epidemic, a once-in-a-century black swan event with a long tail, on construction multi-projects.

It conduct an effective model to quantify impacts of COVID-19 on international construction multi-projects for implementing effective counter-measures, which lay foundation for claims among different stakeholders.

The term of detractor risk is applied to describe COVID-19 and quantify its impact upon international construction multi-projects. Further, a hybrid model by integrating parametric model and Monte Carlo in type I/II model is proposed to simulate their contingencies at disordered states. Finally, the simulated outcomes of these models are used to guide effective risk control to meet the requirements by the client.