Este proyecto de grado se enfoca en el estudio de un proceso crítico para Telefónica Chile, la facturación. En particular, se analiza el proceso de negocio de la facturación a otras empresas, que a pesar de ser rentable es una importante fuente de reclamos para la compañía. En base a esta descripción, se plantea como objetivo esencial la reducción de la cantidad de reclamos percibidos por concepto de facturación a terceros, así como el incremento en la rentabilidad del negocio. Para lograr este objetivo, se propone un rediseño al proceso de negocio de facturación a terceras empresas, que busca mitigar los riesgos de errores en la facturación y potenciales fuentes de reclamos. A partir del rediseño, surge como alternativa de solución la creación de una plataforma Web de comunicación con las terceras empresas, que incluye el diseño de un filtro sistémico para evitar cargos que generen potenciales reclamos. Concretamente, se construye e implementa en etapa modular sólo el filtro a terceras empresas, quedando en formato piloto el resto de la plataforma. Los principales resultados obtenidos son: una reducción efectiva de la cantidad de reclamos en un 12% durante los primeros 6 meses, que alcanza un 49% a los 12 meses, equivalente a una reducción aproximada de 9.000 reclamos mensuales. Así mismo, fue posible proponer mejoras al modelo de negocios existente a partir del diseño de nuevos servicios, que buscan una integración de Telefónica Chile con las terceras empresas, como parte de una nueva estrategia de negocios.

LAN Airlines es una aerolínea basada en Santiago de Chile con 79 años de experiencia y más de 15.000 empleados alrededor del mundo. Sirve a más de 15 millones de pasajeros al año, tienen ingresos anuales de más de 3.500 millones USD, un valor en la bolsa de casi 4 mil millones de USD y rentabilidad neta cercana al 8%. Su estrategia comercial hace que el revenue management sea el núcleo de su negocio. Esta memoria tiene el objetivo crear un simulador de entrenamiento que permita brindar un entorno libre de riesgo y de costo cero para practicar RM. Esta disciplina agrega entre un 3% y 7% a los ingresos de una empresa y entre un 50% y 100% a las utilidades. Mucho de lo fundamental para el éxito en su aplicación viene de la técnica y la teoría. Sin embargo, su necesidad de entender el mercado y la demanda lo hace depender fuertemente del capital humano. Actualmente el proceso de entrenamiento se basa en la prueba y error en la realidad, con un tutor y marcha blanca que puede tener altos costos por errores con las tarifas reales de la empresa. Un simulador puede ayudar a reducir los costos y hacer más efectivo el aprendizaje. Además, permite que los tiempos de entrenamiento bajen al enseñar de manera práctica, lo que eleva la tasa de retención de los analistas de un 5% en clases típicas hasta un 80%. Se propone una metodología enfocada hacia escenarios determinados del RM. LAN ha elegido algunas de sus buenas prácticas y se requiere que el simulador permita el entrenamiento en dichas situaciones. De esta manera, se entiende que el objetivo es que el simulador reacciones consecuentemente con el mundo real en estos escenarios, mas no modelar exactamente la demanda real de LAN. Un prototipo del simulador fue sometido a pruebas bajo cada escenario de RM requerido. Sólo una de ellas falla y gatilla un rediseño específico. Una vez completado, el simulador cumple lo requerido y está listo como diseño. Es clave para el éxito de esta memoria la metodología en base a escenarios concretos de RM. Permitió tener condiciones claras de prueba y evaluación de la simulación. Resta su implementación productiva en la aerolínea y diseño de jornadas de entrenamiento para que se utilice. Se prueba que la simulación es una herramienta útil y rentable, al lograr reproducir las condiciones de trabajo necesarias para entrenar a los analistas de LAN en RM.

M.Ing. (Engineering Management) / Revenue Assurance is an emerging discipline in the Communication Service Provider (CSP) industry. It is a fast changing and maturing field driven by proactive CSPs and industry providers of Revenue Assurance technology and services. Two practice guideline bodies, the TeleManagement Forum and the Global Revenue Assurance Professions Association (GRAPA), have issued various practice guidelines, maturity assessment models, and the first attempts to certify practitioners in this discipline. The discipline, however, lacks a working set of definitions. Industry writing is of commercial value with little contribution from an academic perspective. This study provides a provisional taxonomy as basis for introducing a working' set of definitions to support academic enquiry into the discipline of Revenue Assurance. The study employed Grounded Theory and document analysis techniques to code and analyse data available in the public domain. The result is a set of grounded concepts, re-conceptualised into a taxonomy, which provides structure to academia as primary users. It is hoped that the proposed taxonomy will provide a common base of understanding, which will guide future dialogue and expansion of the field, with contributions from both industry and academia.

FASB and IASB recently decided current revenue recognition practices were in dire need of an update and released a converged standard on revenue recognition under ASU 606 and IFRS 15. The new standard hopes to improve financial reporting by removing inconsistencies, improve comparability and overall provide more useful information to financial statement users. This paper examines how the new revenue recognition standard will impact the retail industry. This is said to be the biggest accounting standard change since Sarbanes-Oxley Act in 2002 and companies across the globe are gearing up to adjust current accounting practices to be in compliance with the new requirements. Though the accounting world is aware of the potential impacts of this new standard, is it is difficult to quantify exactly how much revenues will differ due to this change. Retailers that rely on gift card breakage as a large revenue stream will see the most material effects on their financial statements. Revised standards regarding revenue from loyalty programs and returns will also change how revenue is recognized but will have less of an impact than revenue from gift cards. Retailers can also expect their accountants to spend an abundant amount of time altering their accounting systems and restating historical data using the new method to calculate new revenue figures.

Der Beitrag analysiert die Präzision der Aufkommensprognose wichtiger Bundesabgaben der Jahre 1976 bis 2002 in Österreich. Dadurch wird eine im Schrifttum bestehende Forschungs- und Informationslücke verringert. Eine Prognose wird dazu als präzise verstanden, wenn sie sowohl unverzerrt als auch im Mittel genau ist. Die Prognose des Steueraufkommens auf Bundesebene ist in Österreich gemessen am Bruttogesamtabgabenaufkommen präzise. Dennoch sind aufgrund der unpräzisen Prognosen wichtiger Einzelsteuern Verbesserungen möglich. Als mögliche Ursachen für die Verschätzungen werden die Organisation der Prognose, die verwendeten Prognosemethoden, der Vorsteuerbetrug, Ausgliederungstendenzen aus dem Staatshaushalt und neue kommunale Finanzierungsformen isoliert. Eine Erhöhung der Präzision sollte durch die Kombination mehrerer unabhängiger Prognosen zu einer Gesamtprognose, durch eine stärkere Dokumentation der Prognose, durch die Verwendung univariater Zeitreihenmethoden für die Prognose des Aufkommens an veranlagter Einkommensteuer und an Körperschaftsteuer und durch die Reduktion (Umsatzsteuer) bzw. Erhöhung (Mineralölsteuer) der verwendeten Aufkommenselastizitäten erreicht werden.

South Africa is a water-stressed country where water availability is an important constraint to economic and social development, and will become even more so in the future if this scarce resource is not managed effectively. In order to manage this scarce supply of water, we need to value it. This study focuses on the value of water in the agricultural sector, in particular the marginal revenue of water for six irrigation commodities namely avocados, bananas, grapefruit, mangoes, oranges and sugarcane. A quadratic production function was fitted with an SUR model specification in a panel data study from 1975 to 2002 to obtain marginal revenue functions for each of the six commodities. We found that mangoes are the most efficient commodity in its water use relative to revenue generated (marginal revenue of water equals R25.43/m³ in 2002) and sugarcane the least efficient (marginal revenue of water equals R1.67/m³ in 2002). The marginal revenue of water is not an indication of the true “market” price. Neither is it an indication what the administered price should be. The marginal revenue of water is rather a guideline for policy makers to determine which industries or commodities within an industry can generate the largest revenue per unit water applied. / Dissertation (MCom (Econometrics))--University of Pretoria, 2006. / Economics / unrestricted

The aim of this thesis is to introduce theoretical basis and practical review of actual revenue management usage in hospitality, espacially in the Food&Beverage Department. First chapter brings out the concept of revenue management from the view of its origin, development and integration into other industries. The second and third chapter describes different tools and approaches between the Rooms and Food&Beverage Department. The purpose of the last chapter is to compare revenue management usage through survey within both mentioned departments in the Czech Republic.

Diploma thesis is dedicated to software revenue recognition under IFRS and US GAAP. It aims to address all specifics related to software industry as well as challenges which arise from sales of intangible assets and intellectual property in form of licenses. Thesis covers both standard software delivery (OnPremise) and delivery in cloud for Software as a service. Significant portion is dedicated to multiple element arrangements which are very common for software industry. It also analyses new revenue recognition standard IFRS 15 Revenues from contracts with customers, which is a result of joined convergence project of IASB and FASB and how it will impact current revenue recognition practices in the industry.

This thesis investigates the revenue management (RM) problem encountered in an airport carpark of finite capacity, where the available parking spaces should be sold optimally in advance in order to maximise the revenues on a given day. Customer demand is stochastic, where random pre-booking times and stay lengths overlap with each other, a setting that generates strong inter-dependence among consecutive days and hence leads to a complex network optimisation problem. Several mathematical models are introduced to approximate the problem; a model based on a discrete-time formulation which is solved using Monte Carlo (MC) simulations and two single-resource models, the first based on a stochastic process and the other on a deterministic one, both developed in continuous-time that lead to a partial differential equation (PDE). The optimisation for the spaces is based on the expected displacement costs which are then used in a bid-price control mechanism to optimise the value of the carpark. Numerical tests are conducted to examine the methods’ performance under the network setting. Taking into account the methods’ efficiency, the computation times and the resulting expected revenues, the stochastic PDE approach is shown to be the preferable method. Since the pricing structure among operators varies, an adjusted model based on the stochastic PDE is derived in order to facilitate the solution applicable in all settings. Further, for large carparks facing high demand levels, an alternative second-order PDE model is proposed. Finally, an attempt to incorporate more information about the network structure and the inter-dependence between consecutive days leads to a weighted PDE scheme. Given a customer staying on day T, a weighting kernel is introduced to evaluate the conditional probability of stay on a neighbouring day. Then a weighted average is applied on the expected marginal values over all neighbouring days. The weighted PDE scheme shows significant improvement in revenue for small-size carparks. The use of the weighted PDE opens the possibility for new ways to approximate network RM problems and thus motivates further research in this direction.

As a result of the perfect storm of 2008-2009 (an intensely competitive environment and extremely harsh economic conditions), hotel properties around the world are more dependent upon revenue management strategies today. Furthermore, hotel revenue management has become a core strategic element for both domestic and international major brand name hotels within today's worldwide lodging industry. Accordingly, this study examined any potential linkage between revenue management resources, management approach, working knowledge of the external environment, and overall revenue management performance of international hotel properties. In this context, revenue management resources speak to management information systems, technology, and human capital. Furthermore, management's approach to how the external environment is taken into consideration is also addressed. Consequently, this study identifies which specific outside variables management considers relevant to the revenue management decision-making process. As such, this study contributes to the discipline of revenue management by addressing the following: (a) How are revenue management decisions for hotel properties influenced by external factors if at all? (b) How significant are internal resources, such as human capital and technology, to the success of hotel revenue management programs and systems as well as overall firm performance in a cross-border, premier international tourist destination? The results of this study help to augment and expand revenue management theory as well as provide hotel managers with a deeper understanding as to how revenue management decisions are influenced by external environmental factors as well as the importance of internal resources on hotel revenue management performance.