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The purpose of this paper is to investigate the influence of measurement uncertainties and the environment characteristics themselves on the desired field uniformity (FU) in reverberation chambers (RCs) by means of state-of-the-art global sensitivity analysis techniques. There are many quantities to describe the FU. The authors attempted to inspect many of the most important ones in two different orientations of the stirrer (horizontal, vertical).

Surrogate modelling techniques are involved to compute the Sobol’ indices efficiently with a modest number of required electromagnetic (EM) simulations. This can be only achieved if the behaviour of an appropriately chosen output quantity is predictable in such a way, which enables to extract useful information. Therefore, this choice should be made with extra care of the stochastic fluctuations, which have to be as low as possible. To this end, in this paper, various figures of merit are investigated.

This method can provide useful knowledge in the lower frequency range, where the ideal properties of the EM field in RCs cannot be established, and the importance of the setup parameters can vary from configuration to configuration.

Considering the current research tendencies related to RCs, the application of the method of Sobol’ indices to RCs is unique, which has only been done by the authors of this work so far. The main contribution presented in the paper is the thorough investigation of the effect of configuration parameters on the statistical properties of RCs through many output quantities describing the FU.

The first objective is to investigate and determine the social capital development of students in online education. The second objective is to analyze the influence of social capital on students’ academic success and educational satisfaction. The third objective is to generate recommendations to foster social capital development.

A quantitative research approach is employed, with 264 respondents comprising students from colleges and universities in Malaysia. The data gathering instrument is an online questionnaire administered with the informed consent of participants. Data analysis is performed using structural equation modeling (SEM).

The results show that the faculty capital and peer capital components of social capital have not been compromised in online education, but the family capital component has declined. As such, it is concluded that there is a general decline in overall social capital in online education. These findings form the basis for recommendations on promoting social capital development among students in colleges and universities internationally.

This study focused on study periods during the COVID-19 pandemic where online learning and communication were strictly enforced, providing a unique opportunity to explore how students adapted their social capital development. However, this is not meant to be a representation of scenarios where students are given the option of either physical or online education or a combination of both.

Academic and institutional management implications are evident, and recommendations are made based on the findings.

The findings and subsequent recommendations have considerable social implications in terms of social sustainability of education practices and policies.

The COVID-19 pandemic that started in March 2020 and subsequent prolonged periods of physical lockdowns in many countries have forced colleges and universities that customarily practice classroom education to shift to online education temporarily. This situation created a novel “natural experiment” when classes or programs from the same college or university that are customarily conducted in classrooms (in person) were conducted online during the pandemic, thus contributing to the originality of the findings.

Design of architecture, engineering and construction (AEC) project organizations expose project management practitioners (PMPs) to poor mental health due to the influence of project organization designs on project management activities assigned to the PMPs. The AEC project organization design comprises the integration of permanent organization, project organization and external environment layers. In spite of the link between project organization design and mental health, limited studies have examined the impact of permanent organization factors, project organization factors and external environmental factors on mental health management practices. Therefore, this study aims to examine the interactive relationships between permanent organization factors, project organization factors, external environment factors and mental health management indicators.

Four organizational theories: institutional theory, agency theory and resource-based theory were integrated to develop a theoretical model guiding the aim of the study. Eighty-two survey data were collected from PMPs in AEC firms in Australia. Structural equation modelling was used to test the relationships between the constructs.

The study found that mental health management indicators are predicted by the interactive and direct effects of permanent organizational factors, project organizational factors and external environmental factors. The results of the interactive effects of the factors and mental health management indicators revealed that 20 of 26 proposed hypotheses were supported. Based on the established hypotheses, economic factors, technological factors, environmental factors, legal factors and organizational culture positively correlated with mental health management indicators. Likewise, human resources management (HRM), corporate governance, project governance and integrated project delivery (IPD) positively impact mental health management indicators. However, political factors, social factors, knowledge management and project management skills negatively impact mental health management indicators. Moreover, political factors, economic factors, technological factors, environmental factors, legal factors and organizational culture are positively related to corporate governance. Additionally, organizational culture positively impacts corporate governance, project governance and HRM, whereas project governance positively correlated with IPD and knowledge management.

The findings provide guidelines to AEC firms on achieving positive mental health management indicators through concentration on project organization design.

With the help of a quasi-natural experiment on Chinese policies, this study aims to understand the actual contribution of Smart City (SC) policies to the development of information and communications technology (ICT) in different cities. It also discusses the social and digital differences that such policies may generate, with a particular focus on the potential for exacerbating urban inequalities.

To achieve this, the study employs a principal component analysis (PCA) to develop an ICT development indicator system. It then employs a difference-in-differences (DID) model to analyze panel data from 209 Chinese cities over the period from 2007 to 2019, examining the impact of SC policies on ICT development across various urban settings.

Our findings show that SC policies have significantly contributed to the enhancement of ICT development, especially in ICT usage. However, SC policies may inadvertently reinforce developmental disparities among cities. Compared to less developed areas, the benefits of SC policies are more pronounced in economically booming cities. This is likely due to the agglomeration of the ICT industry and the strong allure of developed urban centers for high-caliber talent.

This study contributes to the related literature by explaining the role of SC policies in driving ICT development and by focusing on the often-overlooked impact of SC policies on urban inequality. These findings can provide guidance to policymakers on the need to recognize and address existing urban inequalities.

This paper reviews existing research to understand when, how and with what results robotic process automation (RPA) is implemented by organizations.

The authors have identified 84 sources across eight databases and have analyzed them through the lens of a context–intervention–mechanism–outcomes framework (CIMO). The CIMO analysis maps the contextual drivers, intervention approaches and value related outcomes associated with RPA implementation.

The result of the analysis is the identification of four mechanisms explaining the approach organizations take to implement RPA: digitizing business processes, performing knowledge work together with humans, replacing outsourcing with RPA robots and developing a new business model. Therefore, in this paper, in order to reduce RPA literature fragmentation, the authors take into account the digital transformation (DT) perspective, by considering RPA as one example of digital technology.

This study sensitize organizational adopters to the different mechanisms they can deploy to conduct RPA implementations to achieve different desired outcomes in response to different drivers. Moreover, having a clear picture of the key enablers and associated barriers to the realization of these alternative paths serve as a useful map to guide the implementation process.

The findings contribute to DT research by conceptualizing these mechanisms through which organizations deploy automation tools—such as RPA.

This paper aims to elucidate responsible leadership as a construct with strong moral and ethical underpinnings, as well as a focus on multiple stakeholders and the triple bottom line. This paper also highlights the interdependence of the economic, social and environmental dimensions of a business to achieve corporate sustainability.

This conceptual paper is the outcome of analysing and synthesizing the findings of the literature review on three main constructs: responsible leadership, triple bottom line and corporate sustainability. This review enabled the development of logical associations among these constructs.

The literature revealed logical associations between responsible leadership, the triple bottom line and corporate sustainability. All three constructs embody the three dimensions of economic, social and environmental sustainability, which form the basis of the associations.

Responsible leadership, grounded in stakeholder theory, goes beyond the traditional dyadic leader–follower relationship to influence multiple stakeholders within and outside the organization and achieve positive outcomes for both the organization and society. Multiple levels of outcomes and higher levels of organizational performance for businesses are the hallmarks of responsible leadership.

This paper highlights the importance of responsible leadership and triple bottom-line performance for corporate sustainability. Responsible leadership has the potential to create significant impact on business and society, to achieve long-term corporate sustainability. A conceptual model of responsible leadership is also proposed to show the association between responsible leadership, the triple bottom line and corporate sustainability.

The main purpose of this paper is to explore whether the nature of innovation is accumulative or radical and to what extent past year accumulation of technology stock can predict future innovation. More importantly, the authors are concerned with whether a change of policy regime or a variance in the quality of technology will moderate the nature of innovation.

The authors examined a dataset of 3.6 million Chinese patents during 1985–2015 and constructed more than 5 million citation pairs across 8 sections and 128 classes to track knowledge spillover across technology fields. The authors used this citation dataset to calculate the technology innovation network. The authors constructed a measure of upstream invention, interacting the pre-existing technology innovation network with historical patent growth in each technology field, and estimated measure's impact on future innovation since 2005. The authors also constructed three sets of metrics – technology dependence, centrality and scientific value – to identify innovation quality and a policy dummy to consider the impact of policy on innovation.

Innovation growth is built upon past year accumulation and technology spillover. Innovation grows faster for technologies that are more central and grows more slowly for more valuable technologies. A pro-innovation and pro-intellectual property right (IPR) policy plays a positive and significant role in driving technical progress. The authors also found that for technologies that have faster access to new information or larger power to control knowledge flow, the upstream and downstream innovation linkage is stronger. However, this linkage is weaker for technologies that are more novel or general. On most occasions, the nature of innovation was less responsive to policy shock.

This paper contributes to the debate on the nature of innovation by determining whether upstream innovation has strong predictive power on future innovation. The authors develop the assumption used in the technology spillover literature by considering a time-variant, directional and asymmetric matrix to model technology diffusion. For the first time, the authors answer how the nature of innovation will vary depending on the technology network configurations and policy environment. In addition to contributing to the academic debate, the authors' study has important implications for economic growth and industrial or innovation management policies.

The purpose of this study is to identify the factors that influence the willingness of Saudi Arabian students from four universities in Saudi Arabia, to adopt learning management systems (LMSs). This will be accomplished by using two popular technology acceptance models unified theory of acceptance and use of technology (UTAUT) and theory of planned behavior (TPB).

In total, 445 undergraduates from four Saudi educational institutions participate in filling out the study questionnaire. To investigate the correlations between the variables, the study used structural equation modeling for data analysis.

The results of the study show that effort expectancy (EE), subjective norm (SN), attitude toward behavior (ATB) and perceived behavioral control (PBC) are found to be substantially connected with their intentions to use (ITU) LMSs. The findings also show that there is a strong relationship between students’ intentions and their actual use of LMSs.

Like many studies, this research has some limitations. The primary limitation is that the findings of the study cannot be extrapolated to other settings since the report’s analysis and investigation were limited to four Saudi universities. Therefore, to generalize the study’s findings, similar research needs to be conducted in other Gulf and similar cultural universities.

The integrated model identifies key factors that influence the intent of Saudi Arabian students to use LMS, including EEs, social influence, ATB and PBC. This model can help develop solutions for the obstacles that prevent students from using LMS. The findings can be used to provide assistance to increase the likelihood of LMS acceptance as part of the educational experience. The model may also inspire further research on this topic in the Gulf nations, particularly in Saudi Arabia.

As none of the relevant studies conducted previously in Saudi Arabia has integrated the two models to study the students’ ITU LMSs, this study combines two major theories, TPB and UTAUT, in the context of Saudi Arabia, contributing to the field of technology use in education by expanding empirical research and providing a thorough understanding of the challenges associated with the use of LMS in Saudi universities. This study should be viewed as filling a crucial gap in the field. Moreover, this integrated model, using more than one theoretical perspective, brings a thorough comprehension of the barriers that hinder students’ adoption of LMSs in the academic context in Saudi Arabia and thus assists in making effective decisions and reaching viable solutions.

The aim of this paper is to explore mindfulness and self-compassion teachings and practices embedded in a leadership course and their outcome on stress regulation of doctoral-level students.

Eight valid and reliable pre-and post-assessment inventories were administered prior to the first week of class and following the completion of the doctoral-level class. The test scores were measured for improvement and for differences between various demographic groups.

The results suggest significant improvement on almost every mindfulness subscale with approximately 5–22% of the variance in subscale scores attributed to participation. Doctoral students over 40 indicated more score improvement than students under 40, and doctoral students of color indicated more significant score increases than White students.

The research involves doctoral-level students which limits generalizability to other levels of education. Based on the findings, scaling analysis should be conducted on other types of students for generalization purposes.

Institutions looking to incorporate wellness practices into curriculum can embed these types of practices into their course design.

Faculty can become more intentional in how they engage students in mindful compassion skills within their academic programs.

The paper adds a quantitative study into the literature surrounding efficacy of wellness practices in structured curriculum. Institutions looking to provide more resources to students to improve their wellness may find the model useful on their campuses, particularly for students over 40 and students of color.