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The study aims to pioneer an innovative approach for the evaluation of government portal websites (GPWs) by introducing an eye-tracking-based method. The research meticulously pinpoints and analyses the distinct usability issues and challenges that users encounter while navigating and interacting with GPWs.

This study devises an eye-tracking-based GPW usability evaluation approach, which focuses on the major functions (i.e. government information disclosure, government services and interactive responses) of GPWs. An Entropy Weighted Technique for Order Preference by Similarity to an Ideal Solution (EW-TOPSIS) method is employed to process eye-tracking indicator results for deriving GPW usability results.

The proposed approach is demonstrated to assess the usability of 12 GPWs in pilot smart cities in China, and it is found that most GPWs have lower-than-average usability. GPWs with low usability require more cognitive load that exhibit increased fixation and saccade. The comparisons among the GPW usability results from (1) the eye-tracking experiment, (2) questionnaire surveys and (3) the ready-made performance evaluation report validate the effectiveness of eye-tracking-based GPW usability evaluation.

The work contributes to shifting the GPW usability evaluation approach from a subjective judgment paradigm to an objective paradigm, as well as provides implications for enhancing GPW usability, including improving search function, reducing website complexity and prioritizing user needs.

Amidst the Industry 4.0 landscape, organizations are increasingly harnessing cutting-edge technologies and embracing digital change to fuel innovation. However, the full potential of innovation cannot be realized without organizational readiness. This study explores how various dimensions of organizational readiness and innovation influence digital change and firm performance.

Data were gathered via a survey of 303 managers from both state-owned and private-owned enterprises in Ho Chi Minh City, Vietnam, and analyzed utilizing partial least squares–structural equation modeling (PLS–SEM).

Organizational readiness positively influences both digital change and innovation. Additionally, innovation positively impacts digital change and mediates the relationship between organizational readiness and digital change. Furthermore, both innovation and digital change positively affect firm performance, whereas the control variable of ownership type has no significant correlation with firm performance. Finally, digital change mediates the relationship between innovation and firm performance.

This study contributes to the digital innovation literature by empirically testing the influence of organizational readiness on digital change and innovation within the context of Vietnam. By investigating whether innovation and digital change enhance firm performance, this study also addresses inconsistencies in the literature.

This paper aims to explore the influencing factors of public perceived efficacy of emergency infrastructure projects based on the triadic interactive determinism, and analyze the relationship among these factors.

Based on the triadic interactive determinism, we explored the factors influencing public perceived efficacy of emergency infrastructure project and empirically verified the relationship among these factors and perceived efficacy by using data drawn from a questionnaire survey of 491 residents near Leishenshan Hospital, Jiangxia District, Wuhan, China.

Prior experience, emotional response, personal expectation, public trust, context message and interactivity level, namely behavior, individual and environment, affect the perceived efficacy of public emergency infrastructure projects.

The results offer an insight into public perceived efficacy of emergency infrastructure project from the perspective of antecedents in a triadic reciprocal determinism, which provides a reference basis for the sustainable development of the emergency infrastructure projects. This study also suggests valuable practical implications to government departments to improve the quality of administrative decision-making effectively.

Although existing studies have found some influencing factors of public perceived efficacy in general infrastructure, there is still a lack of systematic carding and quantitative description of influencing factors of public perceived efficacy of emergency infrastructure projects. This study bridges this gap by exploring the determinants and their influencing relationship of public perceived efficacy especially for emergency infrastructure projects.

This research aims to investigate the relationship between environmental, social and governance (ESG) factors and the performance of real estate companies before and after the COVID-19 pandemic. By conducting a comprehensive case study analysis, we will explore how real estate companies' adoption of ESG practices has influenced their financial performance, market value and resilience during these uncertain times. The findings of this study will contribute to the existing body of knowledge on the relationship between ESG factors and company performance, specifically within the real estate sector. Moreover, the research outcomes will offer practical implications for real estate companies, investors, policymakers and other stakeholders, aiding them in making informed decisions regarding ESG integration and its potential benefits in uncertain times. Overall, this research aims to shed light on whether ESG factors truly enhance the performance of real estate companies, considering the unique challenges posed by the COVID-19 pandemic and sanctions. By examining the case study before and during uncertain times including COVID-19 pandemic and sanctions, we provide valuable insights into the role of ESG practices in shaping the future of the real estate industry.

The study focuses on the selection process and main model used to investigate the relationship between ESG factors and firm performance. The data is divided into four groups based on ESG quartiles to analyze differences between firms with high and low ESG scores. The Difference-in-Differences (DID) model is employed to assess anomalous returns and stock volatility across different ESG quartiles before and after the COVID-19 pandemic. Panel data models are utilized to study the association between ESG and firm performance, with random effects and fixed effects estimators considered. The study builds a model to analyze the impact of ESG on financial performance indicators, incorporating various factors and control variables. Additionally, the Average Treatment Effect on the Treated (ATET) analysis and DID model are explored to evaluate the causal impact of ESG on firm performance. The study emphasizes the importance of testing for parallel trends to ensure the validity of the ATET analysis and it presents a generalized DID model to examine the relationship between ESG scores and company performance outcomes.

Our study's main conclusions show that, in a world with some degree of stability, ESG not only does not improve but, in some situations, also hurts firms' success. On the other hand, at times of notable worldwide unrest, like the COVID-19 pandemic, firms with better ESG ratings demonstrate exceptional stock market success and a noteworthy ability to rebound from a crisis. Moreover, we note that investors truly prioritize sustainable investments as a risk mitigation strategy in addition to their environmental and social duties only when companies face sufficiently significant risks. The results will highlight the significance of sustainable and responsible investment for investors and provide management with more knowledge to create effective ESG strategies for their companies.

By incorporating sustainability and responsibility into their operations, businesses may reduce risk, perform better over the long run and benefit society and the environment. As investors come to understand the importance of ESG issues in their decision-making, the global landscape is experiencing a transformation. Therefore, in the era when stakeholders, such as consumers, workers and shareholders, want more responsibility and transparency when it comes to ESG practises, it is crucial that companies should devote their priority to their ESG performance in order to reduce the danger of slipping behind, especially in light of the increasing importance of sustainability issues and changing laws. However, in the case of small-sized firms, investment policies to improve companies’ governance need to be controlled in moderation during the period of stability because it will create financial pressure and leave them without enough resources to cope with negative impacts during uncertain period. In sum, sustainable and ethical investment is not only a fad; rather, it is a vital and unavoidable route for companies looking to prosper in an unpredictable and complicated global environment.

This research study significantly enhances the existing academic discourse surrounding the relationship between ESG factors and firm performance, particularly, in periods of uncertainty. The findings underscore the critical importance for real estate companies to place a greater emphasis on ESG practices in order to not only benefit themselves but also to improve their overall performance and sustainability in the long term. By shedding light on the positive outcomes associated with prioritizing ESG considerations, this study offers valuable insights for real estate firms seeking to enhance their competitive advantage and stakeholder value in today's dynamic business landscape.

This study is of great significance in revealing the interactive and coordinated relationship between tourism development and the ecological environment, improving the level of environmental governance in the process of tourism economic development and realising the dual-carbon goal and sustainable development of the tourism industry.

This paper performs slack-based measure (SBM)-data envelopment analysis (DEA) analysis, benchmark regression and threshold effect measurement on a sample of 277 cities in China from 2011 to 2019, to estimate the impact of the digital economy on tourism eco-efficiency and to identify the moderating role of environmental regulation.

China’s tourism eco-efficiency shows a spatio-temporal characteristic of steady growth amid fluctuations. The digital economy has a positive facilitating effect on tourism eco-efficiency, which is non-linear with a single threshold effect (0.631), and when the level of the digital economy exceeds the threshold value, its facilitating effect increases from 0.696 to 0.927. Environmental regulation does not play the role of “the icing on the cake” during the digital economy’s impact on tourism eco-efficiency.

This study for the first time includes the digital economy, eco-efficiency and environmental regulation in the research perspective, and analysed the mechanism of action between the three, expanding the depth of research on the digital economy and environmental regulation in the field of tourism. Meanwhile, based on the development needs of policy specialisation and industrial refinement, this study has strong practical significance when conducted at the city level.

Electronic wallets (e-wallet) systems have revolutionized transactional activities, prompting individuals to adopt digital payment methods. This study investigates the determinants of the continuance intention of the e-wallet system Touch 'n Go in Malaysia. We propose a framework integrating the diffusion of innovation theory (DOI) and mental accounting theory, thereby assessing the impacts of product-related factors (convenience, compatibility, perceived risk and perceived compatibility) and the moderating role of personal-related factors [personal innovativeness (PI) and personal anxiety].

Data were collected involving 381 Malaysian Touch 'n Go users. The partial least squares structural equation modeling (PLS-SEM) was applied as a data analysis technique.

As demonstrated by the results, convenience serves as a facilitator, while perceived risk acts as an inhibitor, influencing the continuance intention of the application. Compatibility and perceived complexity are found to be insignificant antecedents. However, neither PI nor personal anxiety was found as moderators.

This research brings contributions to the electronic commerce literature by extending the understanding of the predictors and moderators of the continuance intention of Touch 'n Go users in Malaysia. We discuss how these findings implicate the two theories and offer insights for service providers and policymakers to promote the post-adoption intentions of Touch 'n Go.

This study investigates to what extent the values perceived by tourists throughout cultural tours impact their overall satisfaction levels and behavioral intentions related to the destination. This study further examines the moderating role of tour guide competency in the relationship patterns concerned.

Empirical data were collected via a survey from 420 foreign tourists who visited Cappadocia and participated in guided cultural tours. Partial least squares-structural equation modeling was used for data analysis.

Study results reveal that the effects of quality, emotional, monetary and social value perceptions of tourists gained through cultural tour experiences on their overall satisfaction levels and the effects of overall satisfaction on recommendation and revisit intention are positive and significant. Furthermore, the moderating role of tour guide competency is significant and positive in the relationships between quality value and satisfaction and between satisfaction and revisit intention.

This study offers a critical analysis of discoveries concerning the pivotal role of tour guide competency within the cultural tour experience.

We aim to examine two issues. First, we intend to identify the best performing expected return proxies. Second, we investigate whether the expected return proxies for individual stocks can track the corresponding realized returns during extremely good or extremely bad times of the economic environment related to business conditions, stock market valuation and broad market performance.

We construct four sets of expected return proxies, including: (1) characteristic-based proxies; (2) standard risk-factor-based proxies; (3) risk-factor-based proxies that allow betas to vary with firm characteristics and (4) macroeconomic-variable-based proxies. First, we estimate expected returns for individual stocks using newly developed methods and evaluate the performance of these expected return proxies based on the minimum variance criterion of Lee et al. (2020). Second, we regress expected return proxies and realized returns on indicator variables that capture the extreme phases of the economic environment. Then we compare the estimated coefficients from these two sets of regressions and see if they are similar in magnitude via formal hypothesis testing.

We find that characteristic-based proxies and risk-factor-based proxies that allow betas to vary with firm characteristics are the two best performing proxies. Therefore, it is important to allow betas to vary with firm characteristics in constructing expected return proxies. We also find that model-based expected return proxies do a reasonably good job capturing actual returns during extremely bad and extremely good phases of business cycles measured by leading economic indicators, consumer confidence and business confidence. However, there is a large gap between the adjustment of model-based expected returns and realized returns during extreme episodes of stock market valuation or broad market performance.

We examine four types of expected return proxies and use the newly developed methodology as in Lee et al. (2020) to see which one is the best. In addition, we document whether model-based expected returns from individual stocks adjust partially or fully to keep pace with actual returns in response to changing economic conditions. No prior studies have examined these two issues.

This study intend to investigate a theoretical model looking at how particular tourist emotions, such as “joy,” “love,” and “positive surprise,” might predict their behavior by looking at how satisfied they are with their whole experience when visiting spas, and to examine the relationship of emotional experience, destination image, satisfaction and intention to revisit for spa tourism.

A sample of 345 individuals who traveled to Alleppey as domestic tourists participated in the research study. A non-probability (purposive) sampling method in this study. The structural model was analyzed using Structural Equation modeling (SEM), and the path coefficients were examined to test the hypotheses.

The results supported the hypotheses, indicating that specific emotions, image of the destination, and satisfaction significantly impacted tourists' intentions to revisit Alleppey as a spa tourism destination. This study demonstrated that “emotions of joy, love, and positive surprise” have a considerable influence on the image of the destination and satisfaction. The findings reveal a substantial correlation between satisfaction and behavioral intention (“Intention to revisit”). The research suggests that a higher degree of satisfaction would encourage visitors to revisit the location.

The research suggests that a higher degree of satisfaction would encourage visitors to revisit the location. This research offers vital information for developing, planning, and putting into practice tourism policies in the spa tourism sector. This article focuses on domestic travelers who travel to Alleppey, so the conclusions may not be relevant to research utilizing foreign tourists.

According to the literature study, and to the authors` knowledge, only limited number of studies that look at spa tourism from a wellness perspective. Additionally, Alleppey is used in the study as the study’s setting, providing insight into the visitor experiences of this expanding spa tourism business. This study gives understanding about how emotional experience predicts behavioral intentions.

Damage to the pipe structure and increased bolt stress in operating tunnels will significantly affect the long-term stability of shield tunnels. However, due to the large number of segments and complex bolt installation methods, it is difficult to directly obtain the conditions of segments and bolts. Convergence deformation, as an important indicator for the health assessment of operating tunnels, is easy to collect and can directly reflect the structural state of tunnel segments and bolts.

Taking the typical sections of Hangzhou Metro Line 1 and Line 3 as an example, the current structural damage is simulated by monitoring tunnel convergence deformation. First, based on the disease data, the relationship between convergence deformation and segment leakage, segment misalignment as well as the longitudinal joint opening between two segments is analyzed statistically. The stress of bolts, steel bars and segments under different convergence deformations is simulated by Midas. Then a reinforcement measure of circumferential internal tension steel rings is proposed.

It is found that when the segment convergence exceeds 85 mm, although the overall force on the segment has not reached the material limit, there are certain safety risks in the structure. After comparison, the reinforcement measure has a relatively significant effect on controlling the lateral deformation of segments.

The results have important guiding significance for the evaluation of structural diseases, early warning and control of structural diseases at different convergence deformations.