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The purpose of this paper is to examine the hotel growth model including hotel brand, culture and life cycle phases of the Myrtle Beach, South Carolina, the fastest growing tourism destination in the United States.

Culture reflecting consuming behaviour of low-context innovators and high-context imitators is measured by the price elasticity of demand (PED). Hotel brand reflecting guests’ hotel class is measured by the income elasticity of demand. Autoregressive distributed lag has been conducted on the Smith Travel Research data in 33 years (1989–2022) to determine the relationship among hotel brand, culture and life cycles.

Skilled labour is the key to make hotels grow. Therefore, increase room rates when hotels possess skilled professionals and decrease room rates when hotels have no skilled professionals. During the rejuvenation in Myrtle Beach (1999–2003), hoteliers increased room rates for innovators due to skilled professionals to increase revenue. Otherwise, a decrease in room rates due to lack of skilled professionals would lead to increase revenue.

(1) Although Myrtle Beach is one of the fastest growing tourism destinations in the US, it has a relatively small geographic area relative to the country. (2) Data cover over one tourist life cycle, so the time span is relatively short. Hoteliers can forecast the number of guests in different culture by changing room rates.

To optimize revenue, hoteliers can select skilled labour in professional design hotel brands which could make an increase in demand for leisure transient guests no matter what room rates increase after COVID-19 pandemic.

The study has considered the applied ethical processes regarding revenue management that would maximize both revenue and customer satisfaction when it set up an increase in room rates to compensate for professional hotel room design or it decreases room rates for low-income imitators in exploration and development.

This research highlights that (1) skilled design in the luxury hotel brand is the key for the hotel growth and (2) there is a steady state of the growth model in the destination life cycle.

This study aims to create actionable guidelines for pricing decision-making by employing game a theory matrix to forecast the correlation between the average daily rate and the latest ambiance of hotels.

Utilizing a vector error correction model, the research employs game theory to assess the influence of the average daily rate on the hotel's newest atmosphere during both peak season (April–September) and valley season (October–March).

Findings indicate that during the peak season, when the average daily rate rises in resorts and falls in suburban areas, the hotel’s newest atmosphere is at its best in both types of accommodations. During the off-peak season, the hotel’s newest atmosphere is achieved when both resorts and suburban accommodations increase their average daily rates.

There are two study constraints. One is the assumption that hotel guests in both parties prefer not to change hotels, but in fact they would. Two is a limited sample of two resort and suburban markets.

This suggests that the hotel’s newest atmosphere can draw both leisure and business travelers to suburban areas during the low season and more leisure travelers to resorts during the high season.

The study’s findings have implications for revenue related to the hotel’s newest atmosphere and cleanliness for both suburban and resort hotels, particularly when promoting tourism collaboratively.

The study provides valuable insights for hotel managers in analyzing pricing strategies using matrices.

The purpose of this paper is to challenge the influence of organisational culture types on leadership behaviour and job satisfaction. The theory of culture was divided into four characteristics, namely, clan, hierarchy, adhocracy and market.

A purposive questionnaire was adapted to collect surveys from 294 working people in several sector organisations in Vietnam. The questionnaire included two main parts. The first part comprising demographic questions. The second part included three constituted scales to evaluate organisational culture types, leadership behaviour and job satisfaction. Correlation and linear regression analysis were adapted to use to challenge connections among variables.

Hierarchy culture negatively connected to relationship-oriented leadership behaviour. Adhocracy culture positively affected job satisfaction. Clan and market cultures insignificantly predicted leadership style and job satisfaction.

The research is structured in 294 working people in various Vietnamese sector organisations. This small sample is unlikely to represent the popularity of the findings. Further research should collect samples in more organisations and industries in Vietnam to improve the efficiency of the results. The research findings may support leaders and superiors to choose a proper organisational culture that will reduce employee dissatisfaction.

The research is conducive to the studies on organisational culture, especially the association between leadership behaviour and job satisfaction in Vietnamese sector organisations

Polymeric nanocomposite films from PEDOT and MEH-PPV embedded with surface modified TiO₂ nanoparticles were prepared, respectively for the hole transport layer (HTL) and emission layer (EL) in Organic Light Emitting Diodes (OLED). The composite of MEH-PPV + nc-TiO₂ was used for Organic Solar Cells (OCS). The results from the characterization of the properties of the nanocomposites and devices showed that electrical (I-V characteristics) and spectroscopic (photoluminescent) properties of the conjugate polymers were enhanced due to the incorporation of nc-TiO₂ in the polymers. The OLEDs made from the nanocomposite films would exhibit a larger photonic efficiency and a longer lasting life. For the OSC made from MEH-PPV + nc-TiO₂ composite, the fill factor (FF) reached a value as high as 0.34. Under illumination of light with a power density of 50 mW/cm², the photoelectrical conversion efficiency (PEC) was found to be of 0.15% corresponding to an open circuit voltage V_OC = 1.15 V and a short-cut circuit current density J_SC = 0.125 mA/cm².

This paper aims to identify and assess global risks in the supply chain performance.

First, global risks are identified and classified according to three criteria: content, probability and context. A set of supply chain performance indicators are then defined by the theory of resource-based view and balanced scorecard. Structural equation modeling is adopted to access risks in the global supply chain.

This article contributes to the supply chain risk management literature by providing a detailed operationalization of global supply chain risk constructs, e.g. natural disasters, war and terrorism, fire accidents, economic and political instability, social and cultural grievances, decease. Empirical results reveal that the supply chain is predominantly regarded as being vulnerable as the proposed model of risks can explain up to 12.6% variance of supplier performance, 25.2% innovation and learning, 23% internal business, 40.6% customer service and 32.4% finance.

These risks are relevant contextual variables in strategic supply chain decisions. Supply chain managers should keep in mind acceptable cost/benefit tradeoffs in their firms' mitigation efforts associated with major contingency risks. This research advocates the allocation of scarce resources to adopt the supply chain strategies of avoidance, speculative and postponement.

The application of the strategic content/process/context to explain global supply chain performance is an interesting approach. Moreover, globalization trends and the COVID-19 perspectives are considered to be the main reasons for increasing such complex factors. Data on validating research models collected during the COVID-19 pandemic reflect the topicality of this study.

Drought and salinity intrusion aggravated by climate change threaten agricultural livelihoods in Viet Nan's Mekong Delta. In response, authorities have built water management infrastructure for irrigation and salinity protection. This study assessed the impact of one such project, the Ba Lai dam in Ben Tre province, on the livelihoods of aquaculture farmers.

This study uses the Sustainable Livelihoods Framework to assess the impact of the Ba Lai dam on the livelihood capitals of 18 farming households in four communes, located both upstream and downstream of the dam.

The authors find that, apart from some positive effects, the dam has also brought negative environmental consequences, such as increased water pollution. The authors also find that farmers have responded to the changes by adapting their livelihood practices.

The samples were relatively small, encompassing four communes in Ben Tre province. On the other hand, this case study is instructive to the many ongoing infrastructure projects in the Vietnamese Mekong Delta.

The project have caused an increase in water-related social conflict.

The case of the Ba Lai dam provides a cautionary example for infrastructure-based water management plans, both in Viet Nam and more broadly. The study suggests the need to strengthen community participation and prioritize impacts of farmers' capital assets when constructing water management infrastructure for climate change adaptation.

This study aims to investigate the effects of servicescape on customer satisfaction and loyalty – centered on social interaction and service experience in the café setting.

Data for this study were collected from approximately 1,800 customers at 185 coffee stores located in the three largest cities in Vietnam through the self-administered questionnaires.

The research findings pointed out the significant impacts of café servicescape on social interaction quality, including customer-to-employee interaction (CEI) and customer-to-customer interaction (CCI). Social interactions and servicescape were shown to remarkably influence customer experience quality, customer satisfaction and loyalty. Moreover, the study confirmed the interrelation between service experience, satisfaction and loyalty in the café setting.

This study provides marketers and service managers a deeper understanding of improving customer satisfaction and loyalty through the control of servicescape attributes and social interactions in café contexts.

This research explores the significant impacts of café servicescape on social interaction quality (CEI and CCI). Additionally, it provides insights within the role of social interactions to customer’s affective and behavioral responses in service settings, especially the CCI quality.

This paper examines the role of the annual report’s linguistic tone in predicting future firm performance in an emerging market, Vietnam.

Both manual coding approach and the naïve Bayesian algorithm are employed to determine the annual report tone, which is then used to investigate its impact on future firm performance.

The study finds that tone can predict firm performance one year ahead. The predictability of tone is strengthened for firms that have a high degree of information asymmetry. Besides, the government’s regulatory reforms on corporate disclosures enhance the predictive ability of tone.

The study suggests the naïve Bayesian algorithm as a cost-efficient alternative for human coding in textual analysis. Also, information asymmetry and regulation changes should be modeled in future research on narrative disclosures.

The study sends messages to both investors and policymakers in emerging markets. Investors should pay more attention to the tone of annual reports for improving the accuracy of future firm performance prediction. Policymakers should regularly revise and update regulations on qualitative disclosure to reduce information asymmetry.

This study enhances understanding of the annual report’s role in a non-Western country that has been under-investigated. The research also provides original evidence of the link between annual report tone and future firm performance under different information asymmetry degrees. Furthermore, this study justifies the effectiveness of the governments’ regulatory reforms on corporate disclosure in developing countries. Finally, by applying both the human coding and machine learning approach, this research contributes to the literature on textual analysis methodology.

The paper investigates the effect of corruption on corporate investment efficiency around the world.

The sample includes 218,350 observations from 30,074 firms across 42 countries. The authors measure corruption based on the Corruption Perception Index (CPI) from Transparency International, Corruption Control Index (CCI) from the World Bank and Corruption Index from the International Country Risk Guide.

The authors find that corruption is negatively related to investment efficiency. The robustness checks with different measures of corporate investment and alternative regression approaches show consistent findings. Moreover, the authors also find that the effect of corruption is stronger (weaker) in strong (weak) shareholder protection countries.

The paper has two important contributions to the literature. First, it shows that corruption environment is also a determinant of corporate investment efficiency. Second, legal protection of shareholders can mitigate the negative effect of corruption on corporate investment efficiency.

本研究擬探討世界各地貪污腐敗對企業投資效率的影響。

研究樣本涵蓋42個國家，30,074間公司，218,350個觀察。測量貪污腐敗的方法乃基於國際透明組織的腐敗感知指數、世界銀行的腐敗控制指數和國際國家風險指南的貪污指數。

研究結果顯示、貪污與投資效率成負相關。以企業投資的各種測量方法、以及用其他的回歸分析方法來進行的強度檢驗，均顯示一致的結果。而且，我們亦發現，在對股東的保障較大的國家，貪污所帶來的影響也會較大；同樣地、對股東的保障較小的國家，貪污的影響也相應會較輕微。

本研究對文獻有兩個重要的貢獻。首先，研究證明了貪污腐敗的環境亦是企業投資效率的決定因素；其次，研究亦證明給股東的法律保護會減低貪污對企業投資效率所帶來的負面影響。

The purpose of this study is to analyze the effects of integration quality, perceived fluency and assurance quality on brand engagement and trust, and their impacts on brand loyalty in the omnichannel banking setting. It further explores the critical role of personal innovativeness and demographic characteristics as moderating variables for the propositions in the research model.

An online survey of 1,547 respondents was carried out with bank customers located in the three largest cities of Vietnam, who have already used at least two various transactional channels in the past. The results were analyzed by the partial least square-structural equation modeling (PLS-SEM) technique.

The findings denote that integration quality, perceived fluency and assurance quality significantly influence brand trust. Whereas, brand engagement is only affected by integration quality and perceived fluency. Further, brand engagement and trust are substantiated as critical drivers of brand loyalty in omnichannel banking. Customers with high personal innovativeness produce fewer effects of omnichannel properties on brand engagement and trust than other ones. The research context is found to be a significant moderator for the effect of perceived fluency on brand engagement.

This study offers several recommendations for bank managers to develop a successful omnichannel strategy that could enhance brand engagement and trust by improving integration quality, maintaining fluency across various channels and assuring security during the transactional process. It suggests various policies to improve the effectiveness of the omnichannel model towards the clients with high innovativeness.

This research extends the social exchange theory (SET) theory by examining the effects of omnichannel properties on brand engagement, trust and loyalty in the banking sector. The moderating role of personal innovativeness and research context is also explored.