Revenue Management Integration

Inhaltsverzeichnis (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
• 9.1. SAMPLE SELECTION
• 9.2. FINANCIAL PERFORMANCE MEASURES
• 9.3. INDIVIDUAL AND AGGREGATE VARIABLES
• 9.4. RESEARCH QUESTIONNAIRE
• 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

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This diploma thesis investigates the impact of integrated revenue management on the financial performance of hotels in a competitive tourism market increasingly shaped by the internet. The primary objective is to identify key linkages between revenue management, marketing, sales, and e-commerce, outlining a guideline for successful integration. The study uses multivariate regression analysis to test the relationship between Revenue Management Integration (RMI) and financial performance using data from German hotels.

• The impact of the internet on the competitive tourism environment.
• The development and implementation of Revenue Management Integration (RMI).
• The relationship between RMI and key financial performance indicators (e.g., RevPAR).
• The integration of various disciplines (revenue management, marketing, sales, e-commerce).
• The creation of a practical guideline for implementing RMI in hotels.

Zusammenfassung der Kapitel (Chapter Summaries)

Chapter 1 introduces the research questions, objectives, and methodology. Chapter 2 analyzes the modern tourism value net and its impact on industry structure. Chapter 3 defines Revenue Management Integration (RMI) and its potential as a competitive advantage. Chapters 4, 5, 6, and 7 explore the perspectives of revenue management, marketing, sales, and e-commerce, respectively, within the context of RMI. Chapter 8 summarizes the literature review. Chapter 9 details the methodology of the empirical study, including sample selection and data collection. Further chapters (10 and beyond) are excluded to avoid revealing major conclusions or spoilers.

Schlüsselwörter (Keywords)

Revenue Management Integration (RMI), financial performance, RevPAR, competitive tourism environment, internet, marketing, sales, e-commerce, hotel industry, multivariate regression analysis.