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1 – 10 of 147The 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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
(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.
Practical implications
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.
Social implications
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.
Originality/value
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.
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Xuan V. Tran, Kaleigh McCullough, Makayla Blankenship, Trista Barton, Sophia Cohen, Tabitha Harris, Andrea Lopez, Summer Simone and Trace Bolger
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…
Abstract
Purpose
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.
Design/methodology/approach
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
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.
Research limitations/implications
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.
Practical implications
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.
Social implications
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.
Originality/value
The study provides valuable insights for hotel managers in analyzing pricing strategies using matrices.
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Linh Ha Nguyen, Tam Thanh Le, Hoa Quynh Ha, Hung Viet Nguyen, Minh Tue Bui, Anh Tran Xuan Pham, Anh Quang Bui and Huong Nguyet Trieu
This research examines how bank competition and corporate social responsibility (CSR) affect the stability of Vietnamese commercial banks.
Abstract
Purpose
This research examines how bank competition and corporate social responsibility (CSR) affect the stability of Vietnamese commercial banks.
Design/methodology/approach
Utilizing data collected from 24 commercial banks spanning the period from 2015 to 2022, the paper employs the two-step system generalized method of moments (SGMM) regression method to find the impact of competition and CSR on commercial banks’ stability in Vietnam.
Findings
The key findings are (1) increased competition boosts commercial bank stability; (2) economic and environmental CSR initiatives adversely affect bank stability, while social CSR has a positive impact; (3) seven other factors are also identified to enhance bank stability, including bank size, cost management efficiency, independent management, inflation, gross domestic product (GDP) growth, monetary policy and volatility time.
Originality/value
Prior studies have not concurrently incorporated both CSR and bank competition in their investigations of bank financial stability. Specifically, the comprehensive components of CSR remain underexplored, with a predominant focus on its environmental dimension. This research stands out as one of the few endeavors scrutinizing the influence of competition and CSR on commercial bank financial stability in Vietnam, with a detailed investigation of all three components of CSR.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2024-0316
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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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
The research is conducive to the studies on organisational culture, especially the association between leadership behaviour and job satisfaction in Vietnamese sector organisations
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Do Chung, Nguyen Dinh, Tran Thao, Nguyen Nam, Tran Trung and David Hui
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…
Abstract
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 VOC = 1.15 V and a short-cut circuit current density JSC = 0.125 mA/cm2.
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Hai Thanh Pham, Huy Truong Quang, Paulo Sampaio, Maria Carvalho, Duy Le Anh Tran, Vinh Xuan Vo and Binh An Thi Duong
This paper aims to identify and assess global risks in the supply chain performance.
Abstract
Purpose
This paper aims to identify and assess global risks in the supply chain performance.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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Thu Trang Thi Ngo, Hong Quan Nguyen, Timothy Gorman, Quang Ngo Xuan, Phuong Lan Thi Ngo and Ann Vanreusel
Drought and salinity intrusion aggravated by climate change threaten agricultural livelihoods in Viet Nan's Mekong Delta. In response, authorities have built water management…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Social implications
The project have caused an increase in water-related social conflict.
Originality/value
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.
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Hsiao-Pei (Sophie) Yang, Tommy K. H. Chan, Hai-Anh Tran, Bach Nguyen and Han Lin
This research examines how universities enhance the virality of their social media messages among students. Specifically, we explore whether and how positive affective content in…
Abstract
Purpose
This research examines how universities enhance the virality of their social media messages among students. Specifically, we explore whether and how positive affective content in universities’ social media posts can influence sharing behavior. We also investigate the mediating roles of perceived effort and positive emotional reaction, as well as the moderating effect of visual content (i.e. photos).
Design/methodology/approach
Drawing upon the emotions as social information model, we conducted (1) an online experiment (N = 222) and (2) text analysis of 1,269,798 Twitter posts extracted from the accounts of 94 UK universities over 11 years (2010–2020) to test our hypotheses.
Findings
The findings show that social media posts containing positive affective content encourage sharing behavior and the relationship is mediated by both perceived effort and positive emotional reaction. An additional finding suggests that the use of visual content (photos) strengthens the relationship between positive affective content and sharing behaviors through an interaction effect.
Originality/value
This study contributes to the scant research focusing on positive affective content in the higher education context. The findings shed light on how universities could create social media communications that engage current and prospective students.
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Quynh Xuan Tran, My Van Dang and Nadine Tournois
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.
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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Ly Thi Hai Tran, Thoa Thi Kim Tu, Tran Thi Hong Nguyen, Hoa Thi Lien Nguyen and Xuan Vinh Vo
This paper examines the role of the annual report’s linguistic tone in predicting future firm performance in an emerging market, Vietnam.
Abstract
Purpose
This paper examines the role of the annual report’s linguistic tone in predicting future firm performance in an emerging market, Vietnam.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Practical implications
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.
Originality/value
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.
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