User,Use & Utility Research

Business and Information Systems Engineering (BISE) is at a turning point. Planning, designing, developing and operating IT used to be a management task of a few elites in public ad-ministrations and corporations. But the continuous digitization of nearly all areas of life changes the IT landscape fundamentally. Success in this new era requires putting the human perspective – the digital user – at the very heart of the new digitized service-led economy. BISE faces not just a temporary trend but a complex socio-technical phenomenon with far-reaching implications. The challenges are manifold and have major consequences for all stakeholders, both in information systems and management research as well as in practice. Corporate processes have to be re-designed from the ground up, starting with the user’s perspective, thus putting usage experience and utility of the individual center stage. The digital service economy leads to highly personalized application systems while organizational functions are being fragmented. Entirely new ways of interacting with information systems, in particular beyond desktop IT, are being invented and established. These fundamental challenges require novel approaches with regards to innovation and development methods as well as adequate concepts for enterprise or service system architectures. Gigantic amounts of data are being generated at an accelerating rate by an increasing number of devices – data that need to be managed. In order to tackle these extraordinary challenges we introduce ‘user, use & utility’ as a new field of BISE that focuses primarily on the digital user, his or her usage behavior and the utility associated with system usage in the digitized service-led economy. The research objectives encompass the development of theories, methods and tools for systematic requirement elicitation, systems design, and business development for successful Business and Information Systems Engineering in a digitized economy – information systems that digital users enjoy using. This challenge calls for leveraging insights from various scientific disciplines such as Design, Engineering, Computer Science, Psychology and Sociology. BISE can provide an integrated perspective, thereby assuming a pivotal role within the digitized service led economy.     

Price Dynamics in International Wheat Markets

A vector autoregression model is used to evaluate dynamic relationships among international wheat prices. The effects of freight rates and exchange rates are also considered. Forecast error variance decompositions and impulse response functions are used to investigate price dynamics in six important international wheat markets. The results suggest significant dynamic relationships among prices in different international wheat markets and between the prices and exchange rates and transportation costs.
On s'est servi d'un modéle vectoriel à autorégression pour évaluer les relations dynamiques entre les cours du blé sur le marché international. On a également tenu compte de l'inci-dence des coûts de transport et du taux de change. La décomposition prévue de la variance de l'erreur et les fonctions de réaction ponctuelle ont également permis d'approfondir la dynamique des prix sur six grands marchés internationaux du blé. Les résultats suggérent des relations dynamiques notables entre les prix sur différents marchés internationaux du blé, de meme qu'entre les prix et le taux du change et les coûts de transport.     

Dynamic Relationships in the Market for Ocean Grain Freighting Services

A vector autoregressive model containing ocean grain freight rates, grain shipments, idled tonnage, new carrier deliveries and fuel prices is used to evaluate dynamic linkages in the ocean grain transport market. Dynamic relationships are of particular importance in ocean freighting months because freighting services are often contracted several months before shipment. In addition, such markets may be slow to adjust to shocks because of significant short-run fixities in shipping services. Ocean grain freight rates are found to be responsive to fuel prices and new ship deliveries, but are not affected by demand shocks. Ship idling rates are found to be sensitive to fuel prices, grain shipments and freight rates. Significant adjustment lags are revealed.     

Multikriterielles Entscheidungsmodell für Anpassungsmaßnahmen am Beispiel der L/H-Gas-Umstellung in Deutschland

The German gas supply system is separated into two networks: one for high-calorific gas (H-gas) and one for low-calorific gas (L-gas). In particular, the L-gas volume is declining significantly, which means that there will be problems in security of supply in near future. This paper highlights the most important aspects that have to be considered when adjusting the German gas network to the future decline of L-gas production. First, the article discusses different possible adjustment options: (1) adjustment of market areas from low-calorific gas supply to high-calorific gas supply, (2) blending facilities (conversion of high calorific gas using nitrogen or air) and (3) the combination of both options. Subsequently, the authors outline the necessary planning process that must precede any adjustment option. The so-called network differentiation is followed by the network modeling: Using the net present value method and taking into account certain constraints, the authors define a simple optimization problem to determine the most economical investment and adjustment times for each option. Based on first model considerations it can be concluded that the implementation of adjustment options should be delayed as long as possible without compromising the security of supply. Nevertheless, an early start of the planning process is mandatory to ensure that adjustment options can be established in due time before an L-gas supply deficit occurs. The question, which adjustment option should be chosen, cannot be answered universally. It depends on the conditions and structure of the network as well as the structure of the final consumers.     

Spatiotemporal Modeling of Asian Citrus Canker Risks: Implications for Insurance and Indemnification Fund Models

Asiatic citrus canker is a disease that poses a significant hazard to commercial citrus production. This article examines spatiotemporal models of the risks of citrus canker transmission. Models evaluate risks and are used to price annual contracts, which would pay producers a prespecified indemnity in the event that their grove is found to be infected with canker. Implications for risk management policy are discussed.     

Payment Limitations and Acreage Decisions under Risk Aversion: A Simulation Approach

Payment limits have played an important role in U.S. farm policy deliberations for the last thirty years. Current limits are largely nonbinding. Proposals to strengthen and enforce limits are currently in discussion. We evaluate the likely effects of such proposals on acreage for corn, soybeans, wheat, cotton, and rice in several important producing states. Our results generally indicate that payment limits are unlikely to significantly affect acreage in most cases; exceptions occur for cotton and rice, where the probability that limits would be binding is much greater and thus more likely to affect production.     

Agricultural Policy Reform and Off‐farm Labour Decisions

Off‐farm labour decisions of a sample of Kansas farmers are evaluated. The central question of our analysis pertains to whether 1996 US farm policy reforms may have altered the decisions to work off the farm. The effects of policy decoupling on off‐farm labour are complex: different aspects of policy changes can have opposing effects on off‐farm work decisions. Essentially, this makes this issue an empirical question. Results show that the introduction of fixed, decoupled payments in 1996 might have reduced the likelihood of off‐farm labour participation. However, the new policy environment may have increased farm households’ revealed aversion to risk, motivating a higher participation in non‐farm labour markets. The effects of 1996 policy reforms on farm income variability could have been attenuated by changes in US crop insurance programmes and by an increase in emergency assistance payments towards the end of the 1990s. The reduction in price supports may have increased the motivation for working off the farm. The net effect of the overall reforms on off‐farm work participation is not likely to have been large.