Developing a Novel Hybrid Model for Industrial Environment Analysis: A Study of the Gourmet and Tourism Industry in Taiwan

This study applies fuzzy set theory in attempting to evaluate important attributes of the tourism and gourmet business environment in Taiwan. This business environment is composed of various attributes that are difficult to measure. To overcome these challenges, we integrated the fuzzy Delphi method, the decision-making trial and evaluation laboratory method, and the analytic network process to evaluate the business environment. We found that the most significant aspect of the tourism and gourmet business environment is human resources and that the least significant aspect of this industry is market development. The most significant criteria are enhanced industry competitiveness and opportunities to develop the industry.     

Application of revenue management practices to the theme park industry

Revenue management (RM) has been an essential strategy to maximize revenue for many capacity-limited service industries. Considering the common industry characteristics of traditional RM industries, the nature of the theme park industry suggests potential for enhancing revenue by exercising a variety of RM techniques. This study suggests practices for theme park operators for successful RM application. In addition, this study examines how customers perceive RM practice in the theme park industry compared to a traditional RM industry, hotel industry. The findings indicate that customers seem to perceive RM practice in the theme park industry as relatively fair practices as similarly perceived for the hotel industry. The findings are encouraging for the theme park industry because a relatively similar level of its customers’ perceived fairness of the RM practice compared to the hotel industry suggests that adoption and implementation of the RM practice has great potential to become successful as it has been in traditional RM industries, such as hotels.     

Relationship or revenue: Potential management conflicts between customer relationship management and hotel revenue management

The concepts of customer relationship management (CRM) and revenue management (RevM) have been embraced by managers in the hospitality industry although, in practice, companies may find it difficult to accommodate both fully. This paper examines the compatibility between the two practices and discusses the possible management conflicts that occur from both account managers’ and revenue managers’ viewpoints. Findings gathered from an international hotel company reveal several causes of potential management conflicts including: management goals, management timescales, perceived business assets, performance indicators and management foci between CRM and RevM due to divergence occurring in managers’ priorities and in their approaches to achieving their individual set goals. These differences have rarely been comprehensively investigated in previous studies, yet are vital in integrating CRM and RevM practices.     

Influences of consumer characteristics on fairness perceptions of revenue management pricing in the hotel industry

Fairness perceptions play an important role in customers’ behavior, and this study explores which consumer characteristics influence fairness perceptions of revenue management (RM) pricing in the hotel context. To examine such differentiating characteristics, the study conducts a logit analysis by comparing two groups: one group of customers who consider hotels’ RM practices to be fair and the other group considers the practices to be unfair. The findings provide an opportunity for hotel managers to identify customers’ particular characteristics that affect customer's perceptions of the fairness of hotels’ RM pricing practices.     

Revenue management strategies under the lunar–solar calendar: Evidence of Chinese restaurant operations

This paper discusses the lunar–solar calendar-driven festivals that affect Chinese restaurant operations. In-depth interviews and a survey were carried out with 50 catering professionals to provide information that was subsequently used to estimate the change of restaurant turnover due to the identified festivals. Four core common lunar–solar calendar-driven festivals that create more demand for dining out across China were identified. They generated extra revenue, which was nearly 10% of total annual business for restaurants. The study also ascertained 21 measures related to revenue management strategies to cope with these demand variations. In addition, a new restaurant revenue management strategy framework was developed. Recommendations based on this study were suggested to multi-functional restaurants and hotel systems.     

Calculating ROI for training in the lodging industry: Where is the bottom line?

The challenge of measuring the effectiveness and efficiency of training has long been a hurdle for human resource and training professionals in the lodging industry. The reporting of a department's financial performance is a basic expectation of leaders responsible for their share of operational goals of a property. The management of revenue, yield, assets, and total quality are all part of the mix; however, for many leaders in human resource and training experts in the lodging industry, justification for expenditures and financial performance expectations are rarely requested.     

Visitation at capacity-constrained tourism destinations: Exploring revenue management at a national park

This study explores issues related to the introduction of revenue management principles in the mechanism of allocating permits to visitors. Specifically, the study looks at ways in which backcountry hikers in Grand Canyon National Park, a World Heritage Site listed among America’s most visited tourism attractions, value a particular allocation mechanism for a permit application. From a stratified random sampling scheme with a 76% response rate, over 1400 overnight backcountry hikers reported the potential for considerable increased revenues. At the same time the findings indicate that certain demographics and user groups will not participate in the modifications, and thus, may be less likely to get a permit when they apply for one. Any policy implementation from such an analysis needs to consider the implications of privileging those who are both willing and able to pay more for access, and effectively excluding others from the same opportunity.     

The impact of cultural orientation on perceived fairness over demand-based pricing

Revenue management practices are now being implemented by hotel firms on a global scale. This requires a finer understanding of how different cultures will relate to perceived unfairness that stems from the inequities inherent in demand-based pricing. In this context, individualism and collectivism as cultural constructs have been used extensively in cross-cultural research. These constructs are manifested with vertical and horizontal orientations that distinguish social patterns based on the acceptance of a hierarchy or conversely the preference over equality. The purpose of this study was to examine the relationships between vertical and horizontal orientations of individualism and collectivism with perceived price fairness over demand-based pricing. Findings indicate that vertical individualism has a significantly positive relationship with perceived price fairness. This can be attributed to the inherent acceptance of inequality in this cultural dimension combined with the emphasis of the individual over the collective unit. Marketing implications for lodging managers are discussed.     

The impact of fees on visitation of national parks

This study assesses the impact of the change in revenue management policy (namely the increased public land recreation fees) on the number of domestic and international travelers that visit the large, mostly well-known US National Park System sites. Baseline, multivariate demand models were developed based on secondary data from 10 years prior to the fee policy change, and were used to predict demand in years following the fee change. The predictions of the baseline demand models were then compared to the sites’ actual visitation. The differences between the actual and the predicted visitation are statistically significant, indicating that the change in the federal agencies’ revenue management policy might have had an adverse effect on the visitation of the largest US national sites.