The diploma thesis assesses the opportunity to implement an integrated approach to revenue management in order to meet the challenges of the competitive tourism environment, which are particularly stemming from the increasing importance of the internet. It is proposed that effective and efficient coordination of the disciplines of revenue management, marketing, sales and e-commerce leads to Revenue Management Integration (RMI), which has a positive effect on financial performance and competitiveness. The thesis aims at identifying key linkages among the disciplines and creates a guideline of how the integration may be achieved. Using multivariate regression, it is tested with 30 hotels, affiliated to eight of the largest hotel chains in Germany, whether Revenue Management Integration is positively related to financial performance. The study showed that integrated revenue management is positively related to RevPAR performance in hotel properties, while the relationship to other profitability measures, such as Return on Equity (ROE) and Operating Profit Margin (OPM) did not yield clear results.
Table of Contents
1. INTRODUCTION
1.1. RESEARCH QUESTIONS
1.2. RESEARCH CONTRIBUTION
1.3. GENERAL OBJECTIVE
1.4. SPECIFIC OBJECTIVES
1.5. HYPOTHESES
1.6. RESEARCH DESIGN
1.7. RESEARCH METHODOLOGY
1.7.1. Literature Review
1.7.2. Structured Interviews
1.7.3. Multivariate Regression Analysis
1.7.4. Secondary Analysis
1.7.5. Sampling Method
2. IMPACT OF THE MODERN TOURISM VALUE NET ON TOURISM INDUSTRY STRUCTURE
2.1. THE MODERN TOURISM VALUE NET
2.2. INDUSTRY ANALYSIS ALONG THE FIVE COMPETITIVE FORCES
3. REVENUE MANAGEMENT INTEGRATION (RMI)
3.1. INTEGRATED REVENUE MANAGEMENT AS A COMPETITIVE ADVANTAGE
3.2. REENGINEERING AN ORGANIZATION FOR REVENUE MANAGEMENT INTEGRATION (RMI)
4. REVENUE MANAGEMENT PERSPECTIVE
4.1. EMSR METHOD AND DEMAND FORECASTING
4.2. PRICING AND PRICE ELASTICITIES
5. MARKETING PERSPECTIVE
5.1. CREATING AND MAINTAINING CUSTOMER VALUE
5.2. BLUE OCEAN STRATEGY AND VALUE INNOVATION
5.3. CUSTOMER SEGMENTATION AND DIFFERENTIAL PRICING
5.4. INTEGRATING CUSTOMER RELATIONSHIP MANAGEMENT
5.5. WILLINGNESS-TO-PAY FOR CUSTOMIZED PRICING
6. SALES PERSPECTIVE
6.1. PRODUCT PORTFOLIO OPTIMIZATION
6.2. COORDINATION AND GOAL ALIGNMENT
6.3. DYNAMIC PRICES FOR CORPORATE KEY ACCOUNTS
6.4. SALES AND MARKETING
7. E-COMMERCE PERSPECTIVE
7.1. CHANNEL ANALYSIS AND SELECTION
7.2. DYNAMIC PRICING IN ONLINE DISTRIBUTION
7.3. ACTIVE CHANNEL MANAGEMENT
8. SHORT SUMMARY OF THE LITERATURE REVIEW
9. THE REVENUE MANAGEMENT INTEGRATION (RMI) STUDY
9.4. RESEARCH QUESTIONNAIRE
9.1. SAMPLE SELECTION
9.2. FINANCIAL PERFORMANCE MEASURES
9.3. INDIVIDUAL AND AGGREGATE VARIABLES
9.5. MULTIVARIATE REGRESSION FOR STATISTICAL ANALYSIS
9.6. ADDITIONAL CONTROL VARIABLES
10. DATA ANALYSIS AND RESULTS
10.1. MULTIPLE REGRESSION ANALYSIS WITH REVPAR
10.2. REDUCING THE MULTIPLE REGRESSION MODEL
10.3. ANALYSIS OF REDUCED MODEL RESULTS
10.4. COMPONENT REVENUE MANAGEMENT INTEGRATION (RMI) ANALYSIS
10.5. MULTIPLE REGRESSION WITH ROE
10.6. MULTIPLE REGRESSION WITH OPM
11. LIMITATIONS OF STUDY AND FURTHER RESEARCH
12. CONCLUSION
13. REFERENCES
14. APPENDICES
Research Objectives and Core Topics
This thesis examines the potential for implementing an integrated revenue management approach within the hotel industry to address the challenges posed by a highly competitive environment and the rising importance of the internet. The primary research objective is to determine whether a higher degree of Revenue Management Integration (RMI) is positively correlated with improved financial performance in hotel chains.
- The impact of the modern tourism value net on industry structure.
- Strategic coordination between revenue, marketing, sales, and e-commerce departments.
- The application of quantitative methods, including multivariate regression, to assess financial metrics like RevPAR, ROE, and OPM.
- Change management and organizational reengineering as prerequisites for successful integration.
- The role of technology and dynamic pricing in modern hotel operations.
Excerpt from the Book
1. Introduction
An integrated approach to Revenue Management (RM), which spans over various disciplines, has frequently been proposed for tourism companies providing perishable products of fixed capacity, such as hotel chains, to fully capture the potential of total profit optimization (Ng, Maull & Godziff, 2007, McGuire & Pinchuk, 2009). Kimes and Wagner (2001) defined the general strategy of revenue management as the practice used by service firms with fixed capacity to match the supply of a perishable commodity with forecasted demand via strategies that manipulate price and time of consumption (as cited by O’Connor & Murphy, 2008). Furthermore, revenue management and pricing programs have commonly been praised to have the potential to increase revenues by 3 to 8 % which can in turn result in 50 to 100 % profit improvements (Skugge, 2007). This thesis proposes a departmental and functional integration of various activities to arrive at an integrated revenue management approach that is viewed as the necessary reaction to changing market environment conditions.
Information and communication technologies (ICTs) have been changing the tourism industry structure globally, while developing many new opportunities and threats (Buhalis & O’Connor, 2005). In this new environment, revenue management becomes as important and challenging as never before and to operate effectively, skills are required to combine several knowledge areas steadily and creatively to make profit from the process (Henriksson, 2005). Consequently, it is proposed that particularly due to the modern tourism environment, companies have to make use of strategic integrated revenue management to offset the threats and take advantage of opportunities that the modern tourism environment represents.
Summary of Chapters
1. INTRODUCTION: This chapter outlines the research questions, objectives, and the methodological framework used to study the integration of revenue management in the hotel industry.
2. IMPACT OF THE MODERN TOURISM VALUE NET ON TOURISM INDUSTRY STRUCTURE: This section evaluates how technological developments, specifically the internet, have transformed industry dynamics and competitive forces.
3. REVENUE MANAGEMENT INTEGRATION (RMI): This chapter defines RMI and explores the theoretical requirements for reengineering an organization to successfully implement integrated revenue management strategies.
4. REVENUE MANAGEMENT PERSPECTIVE: This chapter focuses on technical aspects such as demand forecasting, the EMSR method, and the application of price elasticities.
5. MARKETING PERSPECTIVE: This section details the role of customer value, segmentation, and CRM in aligning marketing activities with overall revenue management goals.
6. SALES PERSPECTIVE: This chapter investigates how to optimize product portfolios and align sales incentives with broader organizational profit objectives.
7. E-COMMERCE PERSPECTIVE: This section examines the strategic selection of online distribution channels and the practice of dynamic pricing in digital markets.
8. SHORT SUMMARY OF THE LITERATURE REVIEW: This chapter provides a brief overview of the theoretical foundations discussed in the previous sections.
9. THE REVENUE MANAGEMENT INTEGRATION (RMI) STUDY: This chapter describes the empirical study design, including sampling methods and questionnaire development.
10. DATA ANALYSIS AND RESULTS: This section presents the statistical findings derived from the multivariate regression analysis of the collected data.
11. LIMITATIONS OF STUDY AND FURTHER RESEARCH: This chapter discusses the constraints of the current study and proposes areas for future academic investigation.
12. CONCLUSION: This final chapter synthesizes the main findings and provides recommendations for hotel chains regarding the implementation of RMI.
Keywords
Revenue Management Integration, RMI, Financial Performance, Hotel Industry, RevPAR, ROI, Multivariate Regression, Tourism Value Net, Customer Relationship Management, Dynamic Pricing, Strategic Integration, Market Segmentation, E-commerce, Profit Optimization, Change Management.
Frequently Asked Questions
What is the core focus of this research?
The research investigates the impact of implementing an integrated revenue management approach—connecting departments like marketing, sales, and e-commerce—on the financial performance of hotel chains.
What are the primary fields of study integrated in this thesis?
The work focuses on four main pillars: Revenue Management, Marketing, Sales, and E-commerce, examining how these functions can be unified for total profit optimization.
What is the main research question?
The central question is whether a higher degree of Revenue Management Integration (RMI) correlates positively with financial performance metrics such as RevPAR, ROE, and OPM.
Which scientific method is utilized?
The study employs a cross-sectional design, utilizing structured telephone interviews with revenue managers and quantitative multivariate regression analysis performed with SPSS.
What does the main part of the thesis cover?
The main body covers the impact of the internet on the tourism industry, the theoretical frameworks for organizational change, and the statistical analysis of how specific RMI components affect hotel profitability.
Which key performance indicators are used?
The thesis uses Revenue per Available Room (RevPAR), Return on Equity (ROE), and Operating Profit Margin (OPM) to quantify financial success.
Why is organizational reengineering discussed?
The author argues that moving toward an integrated model requires significant cultural and structural shifts within a hotel, which are best managed through systematic change processes.
How does the internet change the tourism value net?
The internet shifts power dynamics, reduces information asymmetry, and introduces new types of electronic intermediaries, forcing hotels to rethink their distribution and pricing strategies.
What were the results regarding ROE and OPM?
The study found a strong positive correlation between RMI and RevPAR; however, the relationships between RMI and ROE or OPM did not yield clear or statistically significant results in this specific sample.
What are the limitations of the empirical study?
Limitations include the relatively small sample size of 30 hotels and the fact that the data was collected during a period of economic downturn, which may have influenced the financial results.
- Quote paper
- Malte Rücker (Author), 2010, Revenue Management Integration, Munich, GRIN Verlag, https://www.hausarbeiten.de/document/187243
