Airline hubs in the Single European Market: A benchmark analysis

‘Liberalization’ of European air markets could allow the formation of airline hubs to obtain the associated economies of scope and scale. This study simulates the formation of these hubs. A model of U.S. hub location, estimated as a function of demographic and economic characteristics, is applied to European cities to identify likely hub locations. The results provide a benchmark for evaluating future airline competition in the Single European Market. However, the study is only an approximate prediction of hub location because political and structural constraints will keep the European air market from developing the competitive atmosphere found in the U.S..     

A multiple ant colony optimization algorithm for the capacitated location routing problem

The success of a logistics system may depend on the decisions of the depot locations and vehicle routings. The location routing problem (LRP) simultaneously tackles both location and routing decisions to minimize the total system cost. In this paper a multiple ant colony optimization algorithm (MACO) is developed to solve the LRP with capacity constraints (CLRP) on depots and routes. We decompose the CLRP into facility location problem (FLP) and multiple depot vehicle routing problem (MDVRP), where the latter one is treated as a sub problem within the first problem. The MACO algorithm applies a hierarchical ant colony structure that is designed to optimize different subproblems: location selection, customer assignment, and vehicle routing problem, in which the last two are the decisions for the MDVRP. Cooperation between colonies is performed by exchanging information through pheromone updating between the location selection and customer assignment. The proposed algorithm is evaluated on four different sets of benchmark instances and compared with other algorithms from the literature. The computational results indicate that MACO is competitive with other well-known algorithms, being able to obtain numerous new best solutions.     

Understanding the role of service innovation behavior on business customer performance and loyalty

Providing new services to customers gives firms a competitive advantage in the market. Consequently, firms strive to develop innovative service that delivers new value propositions to customers and leads to customer satisfaction and the acquisition of new customers. The authors investigate the relationship between the innovative behavior of service providers, business customer performance, and business customer loyalty in the safety industry. The study's results show that technology-oriented and co-creation-oriented innovative behavior leads to business customer performance. Business customer performance is closely related to recommendations and re-contracts. Moreover, the degree of safety involvement has a moderate effect between service innovation and business customer performance. The findings have important theoretical and managerial implications for service innovation for researchers as well as service providers.     

Optimal inventory control of empty containers in inland transportation system

In this paper, we deal with an inventory control problem of empty containers in an inland transportation system. In inland container transportation, freights (containers) are transported between terminal and the customer’s location by trucks, trains and barges. Empty containers are an important logistic resource and shipping companies try to operate and manage empty containers efficiently. Because of the trade imbalance between hub ports, empty containers should be periodically repositioned from surplus areas to shortage areas. However, it is not easy to exactly forecast the demand of empty containers, and we therefore need to build an efficient way to reposition the empty containers. In this paper, we consider a shortage area and propose an efficient inventory policy to control empty containers. We assume that demands per unit time are independent and identically distributed random variables. To satisfy the demand of empty containers, we reposition empty containers from other hubs based on the (s, S) inventory policy, and also consider the lease of empty containers with zero lead time. For the leased containers, we should return the number of empty containers leased to the leaser after the specified period. For a given policy, simulation is used to estimate the expected cost rate and we use the optimization tool, OptQuest^® in Arena to obtain the near optimal (s, S) policy in numerical examples.     

The Mortgage Acquisition Process: A Comparison of VRM and FRM Borrowers*

In recent years a number of alternative types of residential mortgage plans (i.e., alternative to the fixed-rate level-payment mortgage) have been proposed, and some of these have been available in various parts of the country. The most often proposed innovation has been the variable rate mortgage (VRM). The most widespread use of the VRM has been in the State of California, starting in early 1975. This paper discusses some of the results of a survey of over 1,700 homeowners in California that examined consumer reaction to the VRM. Specifically, this paper looks at the impact of the VRM on the mortgage acquisition process and the features of mortgages demanded by consumers. The data seem to indicate that the process of acquiring a mortgage has not been affected significantly by the availability of the VRM. However, the existence of alternative mortgage plans means that consumer choice can be broadened to include type of mortgage as well as lending institution.     

Evaluation of USDA's Broadband Loan Program: Impacts on broadband provision

Since 2002 the USDA's Broadband Loan Program has directed more than $1.8 billion in subsidized loans to help expand broadband access in under-served rural communities. Program eligibility criteria included having a population of 20,000 or fewer, having no prior access to broadband, and providing a minimum matching contribution of 15% by recipients of the loan. Loans were extended mainly to small telecommunications services firms at varying (subsidized) interest rates. We evaluate on the effectiveness of the Loan Program in increasing broadband availability in target locations. Specifically, we analyze whether loan receipt increases the number of broadband providers in a particular location, using various count panel methods. Our analysis is conducted at the ZIP code level over the period 1999–2008; it uses broadband provider data from the FCC's Form 477, and loan data from the Rural Utility Service (the implementing agency for the Broadband Loan Program). Results indicate that ZIP codes receiving broadband loans did in fact experience modest, statistically significant increases in the number of broadband providers vis-à-vis non-recipient locations; that average marginal effects on treated ZIP codes were approximately 0.092 additional broadband providers annually; and that these benefits accrued more towards rural locations than urban locations, in conformance with the intent of the program.     

Exploring the key services and players in the smart car market

The traditional role of cars as a means of transport is now expected to undergo major changes as a result of the emerging smart car industry, whereby connection to the Internet can not only improve traffic safety by enabling self-driving but also entertain passengers. Under these circumstances, it is important to explore the killer services that are expected to be in high demand by consumers and keystone players in the emerging market. This study identifies the promising services from a consumer's perspective using analytic hierarchy process analysis and examines experts' views on which industries and firms, as keystone players, are expected to provide the competitive killer services in the market. The results show that the service that consumers find the most important is driving assistance, followed by infotainment and Internet of Things hubs. Meanwhile, the experts rank the importance of industrial player as in the order of Information Technology device manufacturers, followed by platform providers, automobile manufacturers, and network providers, while at the company level, the rank is in the order of Samsung Electronics, Hyundai Motor, Naver, and SK Telecom, respectively. These findings show that consumers regard smart cars as futuristic vehicles, yet continue to emphasize their conventional value as a means of transport, while the experts expect that among the various industry players, IT companies are most likely to enable the concept of the smart car to become a reality.     

Determinants of the Locations of Alternative Financial Service Providers

Many low-to-moderate income US households rely upon alternative financial service providers (AFSPs) for a variety of credit products and transaction services. The social welfare implications of this segment of the financial services industry are quite controversial. One aspect of the controversy involves the location decisions of AFSPs. This study examines the determinants of the locations of three types of AFSPs: payday lenders, pawnshops, and check-cashing outlets. Using county-level data for the entire country, I find that the number of AFSP outlets per capita is significantly related to demographic characteristics of the county population, measures of the population’s creditworthiness, and the stringency of state laws and regulations that govern AFSPs.     

An empirical analysis of multiple services and choices of consumer in the Swedish telecommunications market

Received analyses state that firms can use a multiple services offering strategy to retain customers and capture new customers. Factors that determine the multiple services strategy include product discount, service provider and customer characteristics. Consequently, this study addresses the fundamental question: what are the key determining factors that explain the probability that a consumer buys multiple services? A generalized Poisson regression model is employed to examine whether the product discount, service provider, socio-economic variables and geographical location impact consumer decisions. Data from a national survey in 2009 commissioned by Post-och Telestyrelsen, the Swedish telecommunications regulator, are analyzed. The results clearly show that the discount, service provider and income of the consumer affect the consumer׳s buying decision. A consumer who receives a discount or has a high income is more likely to buy multiple services or select more services from the current service provider into his basket than a consumer who does not receive discount or has lower income. Service providers, cable TV operators and telecommunications carriers can also lock-in their consumer and expand their market position from one particular service to another using bundling service. Thus, this may be the time for the telecommunications regulator to consider the market definition.     

An integrated production–distribution model for the dynamic location and allocation problem with safety stock optimization

The design and management of a multi-stage production–distribution system is one of the most critical problems in logistics and in facility management. Companies need to be able to evaluate and design different configurations for their logistic networks as quickly as possible. This means coordinating the entire supply chain effectively in order to minimize costs and simultaneously optimize facilities location, the allocation of customer demand to production/distribution centers, the inbound and outbound transportation activities, the product flows between production and/or warehousing facilities, the reverse logistics activities, etc.Full optimization of supply chain is achieved by integrating strategic, tactical, and operational decision-making in terms of the design, management, and control of activities. The cost-based and mixed-integer programming model presented in this study has been developed to support management in making the following decisions: the number of facilities (e.g. warehousing systems, distribution centers), the choice of their locations and the assignment of customer demand to them, and also incorporate tactical decisions regarding inventory control, production rates, and service-level determination in a stochastic environment. This paper presents an original model for the dynamic location–allocation problem with control of customer service level and safety stock optimization. An experimental analysis identifies the most critical factors affecting the logistics cost, and to finish, an industrial application is illustrated demonstrating the effectiveness of the proposed optimization approach.     

Exact and approximate calculation of the cycle service level in periodic review inventory policies

The parameters of stock policies are usually determined to minimize costs while satisfying a target service level. In a periodic review policy the time between reviews can be selected to minimize costs while the order-up-to-level is based on the fulfilment of a target service level. Generally, the calculation of this service measurement is obtained using approximations based on an additional hypothesis related to the demand pattern. Previous research has shown that there is a substantial difference between exact and approximate calculations in some general circumstances, so in these cases the service level is not accomplished or the stock level is overestimated. Although an exact calculation of CSL was developed in previous work, the computational effort required to apply it in practical environments leads to the proposal of two approximate methods (PI and PII) that, with the classic approximation, are analysed and evaluated in this paper. This analysis points out the risks of using the classic approximation and leads one to suggest PII as the most suitable and accurate enough procedure to compute the CSL straightforwardly in practice. Additionally, a heuristic approach based on PII is proposed to accept or reject an inventory policy in terms of fulfilling a given target CSL. This paper focuses on uncorrelated, discrete and stationary demand with a known distribution pattern and without backlog.     

Differences in consumer loyalty and willingness to pay for service attributes across digital channels: A study of the Japanese digital content market

In this paper, the impact that the Internet access device has on consumer loyalty behaviors relative to Internet content was explored. To do so, a mixed logit demand function for mobile and PC subscribers to digital content was estimated and consumers’ willingness to pay for attributes related to specific content providers and their levels of service quality were measured. It was found that significant differences in loyalty and willingness to pay for service quality factors existed between mobile and PC Internet content subscribers, suggesting that while content may be developed as device independent, consumers interact differently with similar Internet content accessed through different devices. Specifically, the willingness to pay for more robust and more frequently updated content was on average higher in the mobile segment than in the PC segment. In addition, the overall switching costs consumers attributed to specific content providers via the mobile channel were far higher than through the PC channel. These results suggest that more robust content management systems must be developed to accommodate for such differences in consumer behavior.     

The competitive consequences of hub dominance: A case study

Hub-and-spoke has become the predominant configuration of airline routes, with individual hubs typically dominated by single carriers. These operations have characteristics of natural monopoly; but dominance is a consequence also of advantages that cannot be subsumed under the rubric of superior efficiency. The carrier with the strongest presence attracts a grossly disproportionate amount of traffic and, secondarily, of the high fare-paying traffic originating at the hub. While the welfare consequences of the consequent price discrimination are ambiguous, United's acquisition of 50 additional slots at the slot-constrained O'Hare airport raised a legitimate Clayton Act Section 7 issue.Robert Julius Thorne Professor of Political Economy, Emeritus, Cornell University; Special Consultant, National Economic Research Associates, Inc. I acknowledge with gratitude the indispensable assistance of Gary J. Dorman in assembling the data presented here and offering criticisms, and of Scott Thomas. They bear no necessary responsibility, however, for the article itself.     

Stocking decisions for repairable spare parts pooling in a multi-hub system

This paper presents an analytical model for determining spare parts stocking levels in a single-item, multi-hub, multi-company, repairable inventory system in which complete pooling of stock is permitted among the hubs and companies. The objective is to minimize the total system cost which consists of inventory holding cost, downtime cost and transshipment cost. We develop an approximation method to compute the logistical system performance measures needed for calculating the cost function. To find the optimal stocking levels, a two-stage solution is proposed. In the first stage, the demands at all hubs are aggregated and treated as if occurring at a single location. The optimal number of total spare parts is determined by minimizing the sum of inventory holding cost and downtime cost. In the second stage, a heuristic procedure is developed to find the optimal allocation of the total spare parts to minimize the total transshipment cost.     

Discounts and Public Service Obligations in the Airline Market: Lessons from Spain

We examine the impact of the universal service policy that was applied to the Spanish airline market during the period 2001?C2009. Our analysis shows that routes that benefit from price discounts that were granted by the government to island residents enjoy higher demand than the rest of the country??s domestic routes. However, the lower elasticity of demand of these routes allows airlines to set higher prices. We also find that airlines that operate inter-island routes on which their services are regulated by price caps and frequency floors charge lower prices and schedule higher flight frequencies than is the case on unregulated routes. Overall, our analysis suggests that price discounts for island residents help guarantee the profitability of routes that are regulated by public service obligations.     

Modeling the mashup ecosystem: structure and growth

Mashups combine data and services provided by third parties through open APIs (such as Google Maps and Flickr), as well as internal data sources owned by users. The creation of mashups is supported by a complex ecosystem of interconnected data providers, mashup platforms, and users. In this paper, we examine the structure of the mashup ecosystem and its growth over time. Several observations follow from our analysis. First, we can conclude that while the number of new APIs and mashups over time follows a linear growth pattern, the distribution of mashups over APIs is not uniform but follows a power law. This implies that a small number of APIs provides the basis for the majority of mashups, and the other APIs are only used in certain application niches. Second, our analysis suggests that mashup platforms were introduced in response to the increasing complexity of mashups, as mashups evolved from one‐feature mashups (widgets). Third, we observe that complementary relationships between open APIs are formed based on the position of the APIs in the ecosystem. The propensity of two APIs to be used together in the same mashup depends on the existing number of mashups to which they both contribute. The growth of the mashup ecosystem follows a pattern where keystone data providers or ‘powerful hubs’ attract niche data providers as complementors, and the positions of keystones in the ecosystem are mutually reinforcing.     

Dynamic Spatial Competition Between Multi‐Store Retailers

We propose a dynamic model of an oligopoly industry characterized by spatial competition between multi‐store retailers. Firms compete in prices and decide where to open or close stores depending on demand and cost conditions, the number of competitors at different locations, and on location‐specific private‐information shocks. The model distinguishes multiple forces in the spatial configuration of store networks, such as cannibalization of revenue between stores of the same retail chain, economies of density, competition, consumer transportation costs, or positive demand spillovers from other stores. We develop an algorithm to approximate a Markov Perfect Equilibrium in our model, and propose a procedure for the estimation of the parameters of the model using panel data on number of stores, prices, and quantities at multiple geographic locations within a city. We also present a numerical example to illustrate the model and algorithm.     

APPLYING MONTE CARLO SIMULATION AND RISK ANALYSIS TO THE FACILITY LOCATION PROBLEM

Facility location problems have become a more strategic decision than just finding the lowest cost space to house a company's product. When choosing the placement of a distribution center, a company must weigh the new freight costs and the cost of a new or leased structure against its necessary service levels, as well as several other factors. Companies can also save on logistics costs in choosing the correct location by incorporating the inherent risk and variability that are involved in a facility location decision. However, in reality, most companies do not analytically consider risk and variability in choosing a location. This article presents a methodology to help determine candidate locations and then conduct a financial risk analysis to determine the ideal location of a new facility.     

Stochastic single-source capacitated facility location model with service level requirements

A stochastic version of single-source capacitated facility location problem is considered. A set of capacitated facilities is to be selected to provide service to demand points with stochastic demand at the minimal total cost. The facilities have service level requirements modeled by chance constraints. For Poisson demand, the problem is proved equivalent to a known solvable deterministic problem. For Normally distributed demand, it is equivalent to a deterministic mixed integer non-linear programming problem. A hybrid heuristic of Lagrangean relaxation with a single-customer-multi-exchange heuristic is embedded within a branch-and-bound framework to find upper and lower bounds for this problem. From test instances created from benchmark problems (10–20 facilities and 50 demand nodes) and real-life data on the deterministic problem, the gap between the bounds is within 6.5% with an average of 2.5%.     

B2B content marketing for professional services: In-person versus digital contacts

We study whether marketing can have a new role, one that is better aligned with the sales force, by adapting content marketing (CM) in B2B professional services organizations. CM activities can be in-person events such as conferences, which involve personal contacts with clients, or digital, such as webinars (i.e., digital events) or posting firm-generated content on branded websites (i.e., digital content). Fitting random-effects negative binomial regression models with four years of panel data from a large, international, consulting service provider, we show that the number of sales leads and won opportunities from its key accounts are positively affected by the frequency of an account's employees attending digital events and consuming digital content, but not in-person events. Moreover, we find that CM affects sales leads for both low- and high-level account employees. These findings suggest that CM can be effective in bringing sales leads and won opportunities to B2B professional service providers and can play a complementary role to the existing sales force.