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Focus is on the extent to which international hotel companies are attempting to standardise their advertising messages as they move towards serving a more internationally based market. The characteristics of advertising in the hotel industry are reviewed, together with an examination of the arguments for and against standardisation in international advertising. An overview of a piece of research undertaken in Hong Kong and the UK to determine the level of standardisation is provided together with the results of the project.

The objective of this study is to examine the various factors that exert an influence on the green economy. This study also investigates the impact of foreign direct investment (FDI) on the Malaysian economy, specifically focusing on its position as a mediator. This research also examines the correlation between FDI and its influence on the contemporary green economy.

The authors employed quantitative methodologies and a self-administered survey to evaluate data and derive a definitive conclusion. The result was constructed using SPSS and SEM-PLS as the analytical software.

The study reveals that technological advancement, investment country and government policy significantly and positively affect the green economy, catalyse SDG goals and restructure the economy in better shape.

The current empirical research bridges the research gap in the context of technology advancement in government policy from emerging economies by exploring important factors, proposing their impact on the performance of the green economy, and empirically testing those hypothesized relationships. This study deciphers that FDI influences the green economy, where the investment country plays a significant role. Also, for a graphical presentation of this abstract, see the online appendix.

The purpose of this study was to determine the requirements and guidelines for the disclosure of taxation information in the financial reports of South African companies in order to determine the extent to which leading South African companies comply with these requirements and guidelines. It was determined that there are comprehensive requirements and guidelines in respect of the disclosure of taxation information in the financial reports of South African companies. These requirements and guidelines are regulated by the Companies Act, No. 61 of 1973, as well as the statements of Generally Accepted Accounting Practice that are issued by the South African Institute of Chartered Accountants. The analyses undertaken of the financial statements of the selected companies indicate that leading companies in South Africa comply to a large extent with the requirements and guidelines for the disclosure of taxation information in financial reports.

Reliable conceptual cost estimation of large-scale construction projects is critical for successful project planning and execution. For addressing the limited data availability in conceptual cost estimation, this study proposes an enhanced ANN-based cost estimating model that incorporates artificial neural networks, ensemble modeling and a factor analysis approach.

In the ANN-based conceptual cost estimating model, the ensemble modeling component enhances training, and thus, improves its predictive accuracy and stability when project data quantity is low; and the factor analysis component finds the optimal input for an estimating model, rendering explanations of project data more descriptive.

On the basis of the results of experiments, it can be concluded that ensemble modeling and FAMD (Factor Analysis of Mixed Data) are both conjointly capable of improving the accuracy of conceptual cost estimates. The ANN model version combining bootstrap aggregation and FAMD improved estimation accuracy and reliability despite these very low project sample sizes.

The generalizability of the findings is hard to justify since it is difficult to collect cost data of construction projects comprehensively. But this difficulty means that our proposed approaches and findings can provide more accurate and stable conceptual cost forecasting in the early stages of project development.

From the perspective of this research, previous uses of past-project data can be deemed to have underutilized that information, and this study has highlighted that — even when limited in quantity — past-project data can and should be utilized effectively in the generation of conceptual cost estimates.

The current conventional strategic management model is incapable of dealing with various questions on organizational management in a dynamically discontinuous environment. Hence, how an enterprise can effectively apply its knowledge management (KM) capability and develop a uniquely dynamic capability in order to provide quick response to a dynamic environment has become an urgent need. The purpose of this paper is to discuss the above-mentioned issues.

In order to gain best exploration on KM capability, dynamic capability, and organizational performance, the questionnaire and statistical analytical techniques were used.

The results indicate that dynamic capability is an important intermediate organizational mechanism through which the benefits of KM capability are converted into performance effects at the corporate level. That is, KM capability enhances the dynamic capability of organizations. While dynamic capability, in turn, increases organizational performance and provides competitive advantages.

This research applied a purposive sampling method and obtained a slightly inadequate number of respondents. Therefore, it is suggested that future research should apply a random sampling method to collect more responses and increase the generalizability.

This research aims to investigate KM capability, dynamic capability, and organizational performance, as well as establish and verify the patterns of the aforementioned relationships based on how enterprises implement their KM capabilities and dynamic capabilities to enhance organizational performance.

There is still little related literature investigating the relationships among KM capability, dynamic capability, and organizational performance. Hence, this study applies questionnaire methods as the main research tools in order to conduct an in-depth investigation into the influence of KM capability and dynamic capability on organizational performance. Furthermore, this research is expected to provide enterprises with valuable suggestions for management practices.

The demanding nature of the construction industry poses strain that affects the health of construction personnel. Research shows that mental ill health in this industry is increasing. However, a review mapping the field to determine the extant of research is lacking. Thus, the purpose of this paper is to conduct a scientometric review of mental health (MH) research in the construction industry.

A total of 145 bibliographic records retrieved from Web of Science and Scopus database were analyzed using CiteSpace, to visualize MH research outputs in the industry.

Top co-cited authors are Helen Lingard, Mei-yung Leung, Paul Bowen, Julitta S. Boschman, Peter E.D. Love, Martin Loosemore and Linda Goldenhar. Previous studies focused on healthy eating, work efficiency, occupational stress and workplace injury. Emerging research areas are centered around physiological health monitoring, work ability, and smart interventions to prevent and manage poor MH.

Result is influenced by the citations in retrieved articles.

The study found that researchers in the construction industry have intensified efforts to leverage information technology in improving the health, well-being, and safety of construction personnel. Future research should focus on developing workplace interventions that incorporate organizational justice and flexible work systems. There is also a need to develop psychological self-reporting scales specific to the industry.

This study enhances the understanding of researchers on existing collaboration networks and future research directions. It provides information on foundational documents and authors whose works should be consulted when researching into this field.

The aim of this paper is to present a comprehensive analysis of risk management in East Asia from 1998 to 2021 by using bibliometric methods and tools to explore research trends, hotspots, and directions for future research.

The data source for this paper is the Web of Science Core Collection, and 7,154 publications and related information have been derived. We use recognized bibliometric indicators to evaluate publications and visually analyze them through scientific mapping tools (VOS Viewer and CiteSpace).

The analysis results show that China is the most productive and influential country/region. East Asia countries have strong cooperation with each other and also have cooperation with other countries. The study shows that risk management has been involved in various fields such as credit, supply chain, health emergency and disaster especially in the background of COVID-19. We also found that machine learning, especially deep learning, has been playing an increasingly important role in risk management due to its excellent performance.

This paper focuses on studying risk management in East Asia, exploring its publication's fundamental information, citation and cooperation networks, hotspots, and research trends. It provides some reference value for scholars who are interested or further research in this field.

The purpose of this study is to investigate the antecedent factors influencing e-loyalty toward e-wallet payment apps in developing countries (e.g. Jordan). This study also investigates the mediating role of perceived usefulness (PU) and the moderating role of electronic word of mouth (e-WOM) toward these apps.

An online questionnaire was used for data collection from 251 actual users of e-wallet payment apps. To estimate and test the research-proposed model, the partial least squares structural equation modeling (PLS-SEM) was employed.

The results mainly confirm that perceived trust (PT), perceived financial cost (PFC) and perceived ease of use were found to be determinants of PU; perceived security (PS), PT, PFC, perceived ease of use and perceived enjoyment (PE) were found to be determinants of e-satisfaction, whereas e-satisfaction and e-WOM were found to be determinants of e-loyalty toward e-wallet payment apps. Likewise, the results support the significant effect of the moderating effect of e-WOM. Conversely, the direct and indirect impact of PU and perceived health benefits (PHB) on e-satisfaction is not supported; therefore, hypotheses H4, H5 and H9 were rejected.

This study contributes to the understanding of the critical success factors underlying e-wallet apps during and post-COVID-19 era, which can help policymakers in banks and other financial institutions (service providers) to increase the diffusion rate of financial inclusion by the usage of e-wallet apps.

Consumers worldwide are increasingly adopting mobile payments. However, despite its global popularity, this innovation did not diffuse among American consumers extensively. As of 2019, less than 30% of smartphone users in the USA engaged in mobile payments. The purpose of this paper is to investigate drivers of mobile payment adoption in the USA and to explore the mediating factors of consumers’ attitudes toward mobile payments.

Data were collected through Amazon M-Turk in the USA with 222 final respondents. Participants received an incentive to participate in this study. The measurement and structural models were evaluated by the component-based partial least squares (PLS) approach using Smart-PLS 3 software.

The study shows several factors affecting consumers’ attitudes toward mobile payments. Specifically, relative advantage, compatibility, observability, perceived security and convenience influence attitudes toward mobile payments and, consequently, behavioral intent to use mobile payment technology. This investigation contributes to the ongoing inquiry on the adoption of mobile payment technology in the USA. It offers specific insights for managers on how to increase mobile payment adoption. The study establishes a modified diffusion of innovations (DOI) model of consumer attitudes toward the use of mobile payments.

The objective of this study is to focus mainly on consumers in the USA, and it limits the generalizability of this study.

This study contributes to the current research on mobile payment adoption. Based on theoretical considerations, the authors derived a research model specifying critical drivers of an individual’s intentions to use mobile payments. Specifically, we establish a modified DOI-based model of consumer attitudes towards mobile payments. It shows several contributing factors affecting consumers’ attitudes toward mobile payments. The paper has important managerial implications aimed at the increase of the diffusion of mobile payments in the USA.

The purpose of this study is to analyse the effect of organisational agility on environmental knowledge as an instrument for the successful development of eco-innovation in products.

This study used a cross-sectional design to collect data on the study variables from a sample of 184 Spanish manufacturing organisations. Structural equations with partial least squares were used to test the hypotheses.

Organisational agility is significantly linked to internal and external environmental knowledge. The results of this study highlight the effect of external knowledge on the success of eco-innovation. Internal environmental knowledge positively moderates the effect of external knowledge on the success of green products.

Based on the dynamic capabilities approach, a theoretical model has been proposed in which organisational agility is configured as an effective capacity for the development of environmental knowledge. The results confirm this relationship and indicate that, although internal environmental knowledge is not decisive in developing new green products, it does enhance the effect of external knowledge on the success of eco-innovation.

Innovative companies must implement organisational agility practices that promote environmental knowledge for the success of new green products. They should also promote both external and internal knowledge.

This study addresses the little explored area of the relationship between organisational agility and the successful development of new green products. The inherent particularities of eco-innovation prompt the need for further studies on the creation of specific knowledge for its promotion. This study concludes that adopting agile practices enables key environmental knowledge for this type of innovation to be created. Additionally, it explores the tensions arising from the dichotomy between internal and external knowledge, with scarce resources allocated to the most effective source. Although both types of knowledge seem to be equally relevant, external knowledge plays a more significant role in the case of eco-innovation. A final contribution of this study is the finding that internal knowledge can further enhance the effect of external knowledge on the development of successful green products.