The Interplay of Communication and Decisions in Electronic Negotiations: Communicative Decisions or Decisive Communication?

Whilst much research has been conducted on decision support for electronic negotiations and some research has been done on communication support in this area, there is a lack of research on the interplay between these two elements of negotiations. The questions whether both are equally important, whether one effects the other, or whether they show counter-effects are important both for negotiation training (i.e. what should be the focus for becoming a good negotiator) and for system research (i.e. which system support elements need to be developed). The current paper presents results of a controlled laboratory experiment with negotiators that were provided with decision support and communication support and negotiators that had only communication support available. The impact of decision support on the communication process and on outcome dimensions as well as the impact of communication behaviour on the negotiation process and the qualitative dimensions of the outcome will be discussed.     

Information Systems for “Wicked Problems”

The objective of this commentary is to propose fruitful research directions built upon the reciprocal interplay of social media and collective intelligence. We focus on “wicked problems” – a class of problems that Introne et al. (Künstl. Intell. 27:45–52, 2013) call “problems for which no single computational formulation of the problem is sufficient, for which different stakeholders do not even agree on what the problem really is, and for which there are no right or wrong answers, only answers that are better or worse from different points of view”. We argue that information systems research in particular can aid in designing appropriate systems due to benefits derived from the combined perspectives of both social media and collective intelligence. We document the relevance and timeliness of social media and collective intelligence for business and information systems engineering, pinpoint needed functionality of information systems for wicked problems, describe related research challenges, highlight prospective suitable methods to tackle those challenges, and review examples of initial results.     

The impact of decoupled subsidies on productivity in agriculture: a cross‐country analysis using microdata

The decoupling of direct payments from production introduced in the reform of the Common Agricultural Policy is expected to make production decisions more market‐oriented and farmers more productive. However, ex‐post analyses of the productivity of farms have yet to uncover any evidence of a positive impact of the decoupling policy on farm productivity. Using Irish, Danish, and Dutch farm‐level data, we identify whether the decoupling policy has contributed to productivity growth in agriculture and farm product adjustment behavior. We find some evidence that the decoupling policy had significant positive effects on farm productivity and behavioral changes related to farm specialization.     

The estimation of agricultural policy effects on soil erosion—An application for the bio-economic model MODAM

As agricultural policies affect land use, they have effects on the amount of soil erosion in agricultural regions through changes of the economic conditions of agricultural production. Prices of inputs and outputs, regulations and incentives can change, forcing or encouraging farmers to adopt new crop rotations. This paper shows how a bio-economic model can be used to describe and estimate the effects of policies on agricultural production and the risk of soil erosion at the example of a region in North-Eastern Germany. The model uses both an assessment tool that is based on a fuzzy-logic approach for the estimation of soil erosion risk of cropping practices, and a linear programming model, that simulates farmers’ economic behaviour under the assumption of gross margin maximisation being the main goal of farmers’ actions.The analysed policy options were both a targeted and an untargeted incentive programme for reduced tillage, and a restriction option where high erosive crops are not allowed on high erodible field types. The results show that policy changes can have an impact on soil erosion. Furthermore, soil conservation policies are shown to have different levels of efficiency in terms of reduced soil erosion related to the costs of the policy. In the case of this study, a restriction option was more efficient than the incentive options. The results of such simulations can serve as a decision support for the development of soil conservation policies and help to foresee the effects of general changes of agricultural policies.     

Critical comments on the gatekeeper concept in science and technology

The concept of the gatekeeper as a means of improving information dissemination in science and technology has been given much attention. The criticism of the two-step flow model has been extensive in mass-media research. In principle, this criticism should also apply to studies of gatekeepers in R & D organizations. The two-step flow model does not tell us with whom the gatekeeper is communicating, what is being discussed, and what effect the gatekeepers have on the internal information dissemination. Using an empirical study of an R & D organization, the thesis is presented that gatekeepers can contribute to an eliteist pattern of distribution rather than to a reduction of the information gap. Finally, it is argued that studies of internal communication in R & D organizations should deal with communication relationships rather than with individuals as units of analysis.     

Life cycle saving: Insights from the perspective of bounded rationality

This paper provides a new life cycle model that takes into account key elements of bounded rationality. The paper shows that the model can account for patterns in the data that are hard to explain by the standard life cycle model. Among other patterns, the model predicts that, typically, the young either hold no equity or their equity portfolio share is rather low and then increases over working life. The analytical solution of the model demonstrates its high degree of tractability.     

Who should sell stocks?

Never selling stocks is optimal for investors with a long horizon and a realistic range of preference and market parameters, if relative risk aversion, investment opportunities, proportional transaction costs, and dividend yields are constant. Such investors should buy stocks when their portfolio weight is too low and otherwise hold them, letting dividends rebalance to cash over time rather than selling. With capital gains taxes, this policy outperforms both static buy‐and‐hold and dynamic rebalancing strategies that account for transaction costs. Selling stocks becomes optimal if either their target weight is low or intermediate consumption is substantial.