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The purpose of this paper is to study the effect of managerial education levels on the wealth effect at the time of investment announcements, by testing two competitive hypotheses: the agency theory-based overinvestment hypothesis vs the Q-theory-based organizational legitimacy hypothesis.

The authors construct the sample by hand-collecting the announcement dates of capital investments from major newspapers published in Taiwan from 2006 to 2014. The authors then use the event study methodology to estimate cumulative abnormal returns at the time of investments announcements to measure the wealth effect. Finally, the authors examine the wealth effect for capital-investing firms with higher managerial education vs those with lower managerial education. The authors also conduct a cross-sectional regression to test the relation between the wealth effect of capital investment and managerial education.

The empirical results indicate that the wealth effect at the time of investment announcements is less favorable for firms with better-educated managers; this negative relation is mitigated for firms with higher institutional ownership and is aggravated for family-controlled firms; and the overall findings are supported by the agency theory-based overinvestment hypothesis, suggesting that higher managerial education lead to greater managerial optimism/overconfidence, which in turn increases the likelihood of overinvestment and implies a less favorable wealth effect associated with capital investment.

This study contributes to the literature by proposing a new, unexplored stock market’s reaction channel through which managerial education signals adverse information about potential overinvestment behavior, even though many studies suggests that managerial education serves as an indication of knowledge/capability and improves firm performance.

This paper aims to present an evaluation method for energy-absorption characteristics of thin-walled composite structures with random uncertain parameters.

The mechanical properties of T700/3234 are obtained by material performance tests and energy-absorption results are obtained by quasi-static crushing tests of thin-walled composite circular tubes. The indicators of triggering specific load (TSL) and specific energy absorption (SEA) are introduced and calculated to determine the energy-absorption characteristics and validate the probability finite element analysis model. The uncertainty in the parameters contain the machining tolerance for the thickness and inner diameter of composite circular tubes and are associated with the composite material system. The Plackett–Burman method is used to choose the measurement parameters. Then, the response surface method is used to build a second-order function of random uncertain parameters versus TSL/SEA, and the Monte Carlo method is finally used to obtain the probabilities of TSL and SEA.

The finite element models can accurately simulate the initial peak load, load-displacement curve and SEA value. The random uncertain parameter method can be used to evaluate the energy-absorption characteristics of thin-walled composite circular tubes.

The presented evaluation method for energy-absorption characteristics of thin-walled composite structures is an approach that considers uncertain parameters to increase the simulation accuracy and decrease the computational burden.

This methodology considers uncertain parameters in evaluating the energy-absorption characteristics of thin-walled composite structures, and this methodology can be applied to other thin-walled composite structures.

The combined heat and power dispatch (CHPD) aims to optimize the outputs of online units in a power plant consisting thermal generators, co-generators and heat-only units. Identifying the operating point of a co-generator within its feasible operating region (FOR) is difficult. This paper aims to solve the CHPD problem in static and dynamic environments.

The CHPD plant operation is formulated as an optimization problem under static and dynamic load conditions with the objectives of minimizations of cost and emissions subject to various system and operational constraints. A novel bio-inspired search technique, grey wolf optimization (GWO) algorithm is used as an optimization tool.

The GWO-based algorithm has been developed to determine the preeminent power and heat dispatch of operating units within the FOR region. The proposed methodology provides fuel cost savings and lesser pollutant emissions than those in earlier reports. Particularly, the GWO always keeps the co-generator’s operating point within the FOR, whereas most of the existing methods fail.

The GWO is applied for the first time to solve the CHPD problems. New dispatch schedules are reported for 7-unit system with the objectives of total fuel cost and emission minimizations, 24-unit system for economic operation and 11-unit system in dynamic environment. The simulation experiments reveal that GWO converges quickly, consistent and the statistical performance clears its applicability to CHPD problems.

With the increasing number of mobile applications, efficiently recommending mobile applications to users has become a challenging problem. Although existing mobile application recommendation approaches based on user attributes and behaviors have achieved notable effectiveness, they overlook the diffusion patterns and interdependencies of topic-specific mobile applications among user groups. mobile applications among user groups. This paper aims to capture the diffusion patterns and interdependencies of mobile applications among user groups. To achieve this, a topic-aware neural network-based mobile application recommendation method, referred to as TN-MR, is proposed.

In this method, first, the user representations are enhanced by introducing a topic-aware attention layer, which captures both the topic context and the diffusion history context. Second, it exploits a time-decay mechanism to simulate changes in user interest. Multitopic user representations are aggregated by the time decay module to output the user representations of cascading representations under multiple topics. Finally, user scores that are likely to download the mobile application are predicted and ranked.

Experimental comparisons and analyses were conducted on the actual 360App data set, and the results demonstrate that the effectiveness of mobile application recommendations can be significantly improved by using TN-MR.

In this paper, the authors propose a mobile application recommendation method based on topic-aware attention networks. By capturing the diffusion patterns and dependencies of mobile applications, it effectively assists users in selecting their applications of interest from thousands of options, significantly improving the accuracy of mobile application recommendations.

The research purpose is to explore the diffusion of mobile QR-code payment (MQP) in a coronavirus disease (COVID-19) context by formulating a behavioral response model based on an integration between protection motivation theory (PMT) and unified theory of acceptance and use of technology (UTAUT). This study also investigates the importance of physical distancing norm for behavioral intention toward MQP.

A web-based survey was designed and data were accumulated from 411 validated respondents who have used MQP or tend to utilize it in Vietnam. Statistical analysis was conducted using SPSS and AMOS to verify the hypotheses.

Results illustrated that behavioral intention is motivated by key antecedents of PMT (including perceived severity, perceived susceptibility and self-efficacy) and important factors of UTAUT (including performance expectancy, effort expectancy and social influence), and physical distancing norm. Moreover, perceived severity promotes performance expectancy, whereas self-efficacy boosts effort expectancy in MQP. Lastly, behavioral intention and recommendation were indicators of the diffusion of MQP under COVID-19.

MQP is just in its infant stage in Vietnam; thus, the findings provide managerial implications, which will aid service providers and firms to adopt marketing strategies that enhance consumers' acceptability and recommendation of MQP to the public.

Little is empirically considered the effects of perceived threat-related factors in PMT and physical distancing norm on behavioral intention toward MQP in a salient pandemic setting. Furthermore, the antecedents in UTAUT contribute greatly to behavioral intention. This study enlightens the diffusion of MQP based on behavioral intention and recommendation.

Digital humanities database is one of the essential tools in digital humanities research area. Therefore, examining the usage of digital humanities database in academic papers is conducive to assessing the value of digital humanities database for scientific research activities and improving the construction of digital humanities infrastructure.

This paper constructs an evaluation system of digital humanities database from the perspective of academic influence and social influence, with mention frequency, usage motivation, platform access data, usage region and usage discipline as indicators and takes China Biographical Database Project as the empirical object to explore the usage of digital humanities database in China.

The data analysis result demonstrates that digital humanities databases are widely used and recognized in China. However, the problem of low actual usage remains.

This paper constructs the digital humanistic database's evaluation system and discusses applying the digital humanistic database in China, which provides a new perspective and method for the influence evaluation study of the digital humanistic database.

Luxury and communism are perceived to be ideologically incompatible values. Prior to the end of the Cold War, luxury tourism and socialist economies had an accommodating relationship and were rationalised at the national level for foreign exchange revenues, showcasing national development in some instances and finally promoting leisure and political education. However, contemporary scholarship on political ideology and luxury tourism is limited given changes in the political and tourism domain over the last two decades. The start of luxury travel and increasing private promotion in Vietnam comes at a time where the communist regime is hurriedly developing the economy at a breakneck speed. Key cities like Hanoi and Ho Chi Minh City have become the forefront of luxury travel for Vietnam. Luxury malls, fine dining and five-star hotel resorts have sprung over the years in tandem with Doi Moi (economic restructuring). Tourism literature has seldom ventured into regime politics and luxury tourism. Using a historical approach, the chapter traces the preamble of luxury tourism in the age of Vietnam's modernity. A critical assessment of contemporary luxury tourism in Vietnam reveals a favourable relationship with socialist principles.

This study aims to examine the tail connectedness between the Chinese and Association of Southeast Asian Nations (ASEAN) stock markets. More specifically, the authors measure the return spillovers at three quantile levels: median (t = 0.5), lower extreme (t = 0.05) and upper extreme (t = 0.95). The connectedness at extreme upper and lower quantiles provides insightful information to investors regarding tail risk propagation, which ultimately suggests that investors adjust their portfolios according to the extreme bullish and bearish market conditions.

The authors employ the quantile connectedness approach of Ando et al. (2022) to examine the quantile transmission mechanism among the ASEAN and Chinese stock markets.

The results show significant evidence of a higher level of connectedness between Chinese and ASEAN stock markets at extreme upper and lower quantiles compared to the median quantiles, which suggests the use of a quantile-based connectedness approach instead of an average-measure-based one. Furthermore, the time-varying connectedness analysis shows that the total spillovers reach the highest peaks during the global financial crisis, the Chinese stock market crash and the COVID-19 pandemic at the upper, lower and median quantiles. Finally, the static and dynamic pairwise spillovers between the Chinese and ASEAN markets vary over quantiles as well.

This study is the first attempt to examine quantile vector autoregression (VAR)-based return spillovers between China and ASEAN stock markets during different market statuses. Besides, the COVID-19 has intensified the uncertainty in Asian countries, mainly China and ASEAN economies.

Food delivery apps (FDAs) have rapidly developed due to mobile technologies, changes in modern consumption and increased online use during the COVID-19 pandemic. Despite this, the platforms are struggling to build a stable customer base and make a profit. This study combined tech-driven motivators in an information system success model (ISSM) and emotional attachment operated by affect transfer theory (ATT) to explain why people might continue to use an FDA.

An online quantitative cross-sectional survey was carried out via the Prolific platform. Data were collected from 416 FDA users and analyzed to test the hypotheses using the partial least squares based structural equation modeling.

The study found that system quality, information quality and emotional attachment directly influence the continued use of FDA. Moreover, the results suggest that perceived social interactivity and perceived playfulness are significant antecedents of emotional attachment.

The findings of this study enrich the current literature on continuance intention in online food delivery services by integrating the technology- and affective-based factors. The findings also provide various practical implications for app designers and marketers to foster an emotional bond with users, resulting in high retention rate.

The study proposes the integrated framework of ISSM and ATT for enhancing understanding of consumer behaviors in the post-adoption stage for FDA.