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The purpose of this paper is to analyze the relationship between the demographic characteristics of top management teams (TMTs) (i.e. age, gender, administrative level, senior management experience and educational background) and megaproject performance, with respect to schedule, cost, quality, safety and technological innovation. The results shed new light on the effectiveness of different types of TMT.

This paper collected secondary and objective data from 208 TMT members in 42 megaprojects and employed hierarchical regression analysis to test the research hypotheses.

The findings revealed that age has a significant influence on schedule performance; gender has a significant influence on safety performance; senior management experience has a significant influence on cost performance; and educational background has a significant influence on both schedule and technological innovation performance. However, this study did not find evidence of a significant relationship between the administrative level and megaproject performance.

This paper mainly focused on China’s megaprojects, most of which are globally influential (e.g. Hong Kong–Zhuhai–Macao Bridge and Shanghai Expo), however this sampling approach still limits the generalizability of research findings to other contexts.

The results of this paper contribute to a better understanding of how management team capabilities translate into better project achievements. This paper also provides implications on the criteria for selecting top megaproject managers to optimize the composition of the TMT and realize better performance.

In an effort to better understand value-oriented general attendees, the purpose of this paper is to propose and empirically test a comprehensive model to examine the effect of three factors of service quality in exhibitions (i.e. service product, service environment and service delivery) on satisfaction through three factors of perceived value (i.e. emotional value, economic value and social value).

A confirmatory factor analysis was performed to determine key factors in exhibition service quality, perceived value and satisfaction. A structural equation modeling was conducted to analyze the causal relationships among the factors.

The empirical results indicated that service product and service environment were significantly and positively associated with all factors of perceived value, which in turn significantly influenced satisfaction. Service delivery, however, was associated only with emotional value. On the other hand, all three factors of perceived value significantly influenced general attendees’ satisfaction. The findings indicated perceived value as an important mediator between exhibition service quality and general attendees’ satisfaction.

Clearly identifying specific trajectories from service quality to satisfaction through distinct perceived values can be a stepping stone to establishing effective and efficient marketing strategies for general attendees and customizing for their needs. The distinct and clear associations between service quality and perceived value can help exhibition organizers and practitioners understand the process of determining general attendees’ overall satisfaction.

The purpose of this study was to examine the causal relationship between extended service quality including information and communications technology (ICT) and distinct perceived value. This study also examined whether distinct perceived value has different effects on exhibition trust through general attendees' satisfaction.

Structural equation modeling was used to examine the causal relationships between the following factors: extended service quality, distinct perceived value, satisfaction and trust.

The structural relationships between extended service quality, distinct perceived value and satisfaction required to build exhibition trust were empirically confirmed. In particular, ICTs had significant effects on all of the perceived value factors, which reliably supports a conclusion that ICT is a key component of exhibition service quality.

Recognizing the significance of ICT, this study has contributed to the field by providing researchers and managers with useful information that not only demonstrates how extended service quality and distinct perceived value independently contribute to satisfaction and interact with each other in doing so but also offers insights for better understanding how trust can be formed in exhibitions. Grasping the distinct preferences for value-oriented activities, understanding the importance of their mediating impacts and expanding the online-offline social networks in which their benefits are promoted and shared can alleviate the uncertainty leading up to exhibition participation while increasing the preemptive transparency of the relationship between quality and value offered by exhibitions.

Wireless sensor networks (WSN) have been widely adopted for various applications due to their properties of pervasive computing. It is necessary to prolong the WSN lifetime; it avails its benefit for a long time. WSN lifetime may vary according to the applications, and in most cases, it is considered as the time to the death of the first node in the module. Clustering has been one of the successful strategies for increasing the effectiveness of the network, as it selects the appropriate cluster head (CH) for communication. However, most clustering protocols are based on probabilistic schemes, which may create two CH for a single cluster group, leading to cause more energy consumption. Hence, it is necessary to build up a clustering strategy with the improved properties for the CH selection. The purpose of this paper is to provide better convergence for large simulation space and to use it for optimizing the communication path of WSN.

This paper plans to develop a new clustering protocol in WSN using fuzzy clustering and an improved meta-heuristic algorithm. The fuzzy clustering approach is adopted for performing the clustering of nodes with respective fuzzy centroid by using the input constraints such as signal-to-interference-plus-noise ratio (SINR), load and residual energy, between the CHs and nodes. After the cluster formation, the combined utility function is used to refine the CH selection. The CH is determined based on computing the combined utility function, in which the node attaining the maximum combined utility function is selected as the CH. After the clustering and CH formation, the optimal communication between the CH and the nodes is induced by a new meta-heuristic algorithm called Fitness updated Crow Search Algorithm (FU-CSA). This optimal communication is accomplished by concerning a multi-objective function with constraints with residual energy and the distance between the nodes. Finally, the simulation results show that the proposed technique enhances the network lifetime and energy efficiency when compared to the state-of-the-art techniques.

The proposed Fuzzy+FU-CSA algorithm has achieved low-cost function values of 48% to Fuzzy+Particle Swarm Optimization (PSO), 60% to Fuzzy+Grey Wolf Optimizer (GWO), 40% to Fuzzy+Whale Optimization Algorithm (WOA) and 25% to Fuzzy+CSA, respectively. Thus, the results prove that the proposed Fuzzy+FU-CSA has the optimal performance than the other algorithms, and thus provides a high network lifetime and energy.

For the efficient clustering and the CH selection, a combined utility function was developed by using the network parameters such as energy, load, SINR and distance. The fuzzy clustering uses the constraint inputs such as residual energy, load and SINR for clustering the nodes of WSN. This work had developed an FU-CSA algorithm for the selection of the optimal communication path for the WSN.

This pilot study is aimed to explore the potential problem of picky eating (PE) among university students majoring in food and nutrition as prospective nutrition professionals.

The current pilot study included a total of 87 South Korean students majoring in food and nutrition. The self-designed Food Bridge program was applied to identify the underlying causes of PE and examine the possibility of overcoming it. The program included planning and practicing stepwise exposures to target foods that were the subject of PE. Descriptive statistics were calculated, and distributive differences between the success and failure groups in the program were analyzed using a chi-squared test.

Vegetables were the most commonly disliked foods (74.7%). About 46% of all students mentioned negative experiences as a reason for food dislikes. Almost half (45%) of these negative experiences were due to external coercion: forced eating (30.0%) and vomiting after forced eating (15.0%). About 66% of the students achieved relatively positive results in overcoming PE. The proportion of failures tended to be higher when the reasons for food dislike included negative experiences.

As the current study implied, students majoring in food and nutrition can be subject to PE. Despite study limitations, this study is meaningful in that it raises concerns over the potential problem of PE and its treatment among prospective nutrition professionals. This study is also expected to serve as a basis for further research on adult PE.

This study empirically verified employee engagement (EE) as an outcome of organizational communication and confirmed that the formation of EE is strengthened when smartphone use (SU) is at a higher level.

A quantitative approach was used in this research, whereby 408 valid samples were collected with an online survey. The hypotheses of direct effects were tested using the structural equation modeling (SEM) procedure, and the moderating effects were tested using the unconstrained product indicator method and the PROCESS macro.

The results showed that EE was significantly influenced by person–organizationvalue fit (POVF), transformational leadership (TFL) and job autonomy (JA), and the effects of POVF and TFL were moderated significantly by SU. Although the influence of social support (SS) on EE was insignificant in the full model, SU moderated the effect of SS. The evidence also showed that work–family conflict (WFC) had no negative impact on EE.

The participants of this study were restricted to a local area.

Organizations should develop job designs via two-way communication to bring up EE and SU can facilitate the process.

Previous research has identified EE as an outcome of organizational communication, but this concept has not yet been empirically verified. This research provides evidence to verify the above-mentioned concept and additionally confirms the moderating role of SU.

United States immigration policy is one of the most dynamic and fiercely argued public policy issues today – often including questions of how many and from where. Poor economic conditions overseas, perceptions of a relative abundance of opportunity in the United States, flight from persecution and upheaval, and revolutions in communication and transportation are often cited as the major factors explaining historic and current waves of immigrants (legal and illegal) to U.S. shores (Batchelor, 2004; Borjas, 2004; Porter, 2006). U.S. immigration legislation is also a key factor in determining the numbers and composition of America's new residents. The focus of this chapter therefore consists of the costs associated with providing illegal immigrants with the benefit of free, public schooling within the context of globalization. More specifically, given the broader social, political, and economic parameters of the immigration debate and its meaning, the chapter discusses the legal and educational issues faced in the United States by those undocumented students who desire to attend public schooling, as well as the ways current state and federal laws both empower and discourage them.

This study aims to outline the research field of initial public offerings (IPOs) pricing and performance by combining bibliometric analysis with a systematic literature review process.

The study uses over three decades of IPO publication records (1989–2020) from Scopus and Web of Science databases. An analysis of keyword co-occurrence and bibliometric coupling was used to gain insights into the evolution of IPO literature.

The study categorized the IPO research field into four primary clusters: IPO pricing and short-run behaviour, IPO performance and influence of intermediaries, venture capital financing and top management and political affiliations and litigation risks. The results offer a framework for delineating research advancements at different stages of IPOs and illustrate the growing interest of researchers in IPOs in recent years. The study identified future research potential in the areas of corporate governance, earning management and investor sentiments related to IPO performance. Similarly, the study highlighted the opportunity to test multiple theoretical frameworks on alternative investment platforms (SME IPO platforms) operating under distinct regulatory environments.

To the best of the authors’ knowledge, this paper represents the first instance of using both bibliometric and systematic review to quantitatively and qualitatively review the articles published in the area of IPO pricing and performance from 1989 to 2020.

This study aims to investigate the drivers of bank automation system performance expectancy compared to that of bank employees. The purpose is to shed light on the role played by consumers' cognitive schema on automation that is the perfect automation schema (PAS).

A survey was administered to about 500 Italian subjects to measure their PAS; financial knowledge, anxiety, and security; and sociodemographic and socioeconomic variables. Ordered probit regressions and an instrumental variable two-stage least squares regression are run.

The analyses reveal that cognitive schemas play a crucial role in consumer expectations in banking. Individuals with stronger PAS tend to have more positive expectations about bank automation performance compared to employee performance. Financial anxiety and knowledge positively affect bank automation performance expectancy while women, older people, and financially insecure subjects have poor expectations of automated banking systems.

This study extends the understanding of key consumer characteristics that affect bank automation performance expectancy compared to that of bank employees in services delivery in the Italian context. Moreover, it provides useful results for researchers, practitioners, banking institutions, and regulators.

Considering the increasing interest devoted to knowledge hiding in the workplace and academic research, the aim of this study is to analyze the existing literature on knowledge hiding to understand and trace how it has evolved over time and to uncover emerging areas for future research.

The study used performance analysis and science mapping to analyze a sample of 243 studies published between 2005 and 2022. The study focused on analyzing the scientific productivity of articles, themes and authors.

The results of performance and science mapping analysis indicate that the concept of knowledge hiding behavior evolved recently and a majority of the studies have been conducted in the past decade. The study found that knowledge hiding is still in its infancy and has been studied in relation to other themes such as knowledge sharing, knowledge management, knowledge withholding and knowledge transfer. The study identified emerging themes, productive authors and countries, affiliations, collaboration network of authors, countries and institutions and co-occurrence of keywords.

Compared to the recent developments in the knowledge hiding behavior, the present study is more comprehensive in terms of the methods and databases used. The results of the study contribute to the existing literature on knowledge hiding and knowledge withholding.