Financial and operational instruments for commodity procurement in quantity competition

We analyze a commodity procurement problem under uncertain future procurement prices and product demands. An optimization model is presented that finds the best mix of advance procurement, spot market procurement, and financial options to satisfy demand in an asymmetric and duopolistic sales market. One firm can only procure just-in-time whereas the other can additionally procure in advance via inventories or option contracts. We show that even under arbitrage-free procurement prices, inventories and option contracts both provide an advantage in comparison to pure just-in-time procurement. However, inventories turn out to dominate option contracts due to a stronger capacity commitment.     

Sprawl and blight

The objective of this paper is to show how the same market failures that contribute to urban sprawl also contribute to urban blight. The paper develops a simple dynamic model in which new suburban and older central-city properties compete for mobile residents. The level of housing services generated by older properties depends on current maintenance or reinvestment expenditures. In this setting, market failures that reduce the cost of occupying suburban locations, thus leading to excessive suburban development, also depress central-city housing prices and undermine maintenance incentives, leading to deficient levels of central-city reinvestment. Corrective policies that shift population from the suburbs to the center result in higher levels of reinvestment in central-city housing, therefore reducing blight.     

Market orientation and marketing in nonprofit organizations. Indications for fundraising from Victoria

The effectiveness of a market orientation has been established in other parts of the world. Using a modified replication study of 401 nonprofit organizations from Victoria, this research took some initial steps to assess fundraising and marketing activities. Studies in Australia have usually focused on only one part of the Third Sector. This study takes a different view and uses a criteria sampling method to survey all 11 sections named by the Australian Bureau of Statistics. The self‐reported data of fundraising activities showed that there were several choices available to all nonprofit organizations that can lead to an improvement in organizational performance. Results suggest that should nonprofit organizations have knowledge generating systems that evaluate their performance, this will improve outcomes for them. Even though organizational size is strongly linked to fundraising performance, there are key drivers that can aid even small organizations in their efforts. Copyright © 2010 John Wiley & Sons, Ltd.     

Common inventory modeling assumptions that fall short: Arborescent networks, Poisson demand, and single-echelon approximations

Traditional multi-echelon inventory theory focuses on arborescent supply chains that use a central warehouse which replenishes remote warehouses. The remote warehouses serve customers in their respective regions. Common assumptions in the academic literature include use of the Poisson demand process and instantaneous unit-by-unit replenishment. In the practitioner literature, single-echelon approximations are advised for setting safety stock to deal with lead time, demand, and supply variations in these settings. Using data from a U.S. supplier of home improvement products, we find that neither the assumptions from the academic literature nor the approximations from the practitioner literature necessarily work well in practice.In a variation of the strictly arborescent supply chain, the central warehouse at our real company not only replenishes other warehouses but also meets demand from customers in the region near the central warehouse. In this paper, we study this dual-role central warehouse structure, which we believe is common in practice. Using high and low volume product demand data from this company, we use Monte Carlo simulations to study the impact of (1) the use of a dual-role centralized warehouse, (2) common demand assumptions made in multi-echelon research, and (3) single-echelon approximations for managing a multi-echelon supply chain. We explore each of these under both centralized and decentralized control logic. We find that the common assumptions of theoretical models impede their usefulness and that heuristics that ignore the actual supply chain structure fail to account for additional opportunities to utilize safety stock more effectively. Researchers should be aware of the gap between standard assumptions in traditional literature and actual practice, and critically evaluate their assumptions to find a reasonable balance between tractability and relevance.     

Modeling data revisions: Measurement error and dynamics of “true” values

Policy makers must base their decisions on preliminary and partially revised data of varying reliability. Realistic modeling of data revisions is required to guide decision makers in their assessment of current and future conditions. This paper provides a new framework with which to model data revisions.Recent empirical work suggests that measurement errors typically have much more complex dynamics than existing models of data revisions allow. This paper describes a state-space model that allows for richer dynamics in these measurement errors, including the noise, news and spillover effects documented in this literature. We also show how to relax the common assumption that “true” values are observed after a few revisions.The result is a unified and flexible framework that allows for more realistic data revision properties, and allows the use of standard methods for optimal real-time estimation of trends and cycles. We illustrate the application of this framework with real-time data on US real output growth.     

The forecast for RAC extrapolation: mostly cloudy

The current statutory and regulatory guidance for recovery audit contractor (RAC) extrapolation leaves providers with minimal protection against the process and a limited ability to challenge overpayment demands. Providers not only should understand the statutory and regulatory basis for extrapolation forecast, but also should be able to assess their extrapolation risk and their recourse through regulatory safeguards against contractor error. Providers also should aggressively appeal all incorrect RAC denials to minimize the potential impact of extrapolation.     

Requirements Engineering for Product Service Systems

In recent years, manufacturing companies and service providers have moved towards offering customer-specific problem solutions. These integrated bundles usually consist of hardware, software, and service components and are called product service systems (PSS) or hybrid products. Since the success of the resulting solution depends on the understanding of all requirements, requirements engineering (RE) has become a key factor. The article analyzes the state of the art of RE for PSS based on an extensive literature review in the domains of product-, software-, and service engineering. For this, criteria are derived from the characteristics of PSS and from the task area of RE in the life cycle of PSS. Based on these criteria we analyze the most established RE approaches for their suitability for PSS. An important finding is that integrated/interdisciplinary approaches for RE are missing. Moreover, the maturity of RE approaches in the three domains varies significantly. All analyzed approaches heavily rely on concepts and solution characteristics of their own domain so that a transfer to other domains is hardly possible. This literature review lays the foundation for successful RE for PSS and especially for future research aiming at combining and integrating RE approaches and models of product-, software-, and service engineering. Such requirement models could connect concepts of single domains and enable an integrated and seamless RE for PSS.     

Contribution rates to funded pension systems in the new member countries

The paper examines implications of real convergence for fully funded pension systems in the new member countries of the European Union. The process of convergence implies that contribution rates would have to be up to 70% higher in the new member countries in order to achieve the same replacement ratio as in a steady-state economy. This effect is partially due to higher growth rates during the process of real convergence and partially due to lower rates of return. The rates of return will be lower due to nominal convergence.     

Determinants of accounting innovation implementation

Accounting innovations are often not successfully implemented or diffused throughout the organization. This study seeks to explain this phenomenon. One of the major impediments to the successful implementation of accounting innovation is that management accounting systems are generally used to serve the decision control needs of top management while at the same time purportedly supporting the decision management needs of lower level managers. To the extent that the accounting system is used for decision control, innovation creates the potential for wealth effects to occur. This prompts managers, whose wealth will be negatively affected, to resist accounting innovation. We present conditions where it is likely for negative wealth effects to occur. Under these conditions the system will fail to achieve its intended objectives. Our theoretical model examines how decentralization choices influence resistance to accounting innovation. We argue that delegation of decision rights can limit the potential for resistance in two ways—(a) by creating the environment which allows managers to ensure that their subunits are able to adapt to the new signals provided by accounting innovations and (b) by enabling subunit managers to become involved in the design of these systems. Our model also enables us to assess the consequences on organizational outcomes when subunit managers resist accounting innovations. Based on data collected from production managers, our results demonstrate the importance of decentralization choices on the effective implementation of accounting innovations.