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The major aim of study was to determine the chicken meat producer's optimal selling times.

The method used for this purpose was Wald, Benefit and Regret criterions of Game Theory. The transformed Wald, Benefit and Regret linear programming models were solved to find the optimal solution. The data consisted of monthly chicken meat prices received by producers between 2000‐2007, which were obtained from the Poultry Meat Producers and Breeders Association.

The optimal solutions of Wald and Benefit criteria showed that June was the best selling month for chicken meat producers in Turkey. August was found to be the optimal selling month according to the Minimum regret criterion. In light of the Maximum criterion it was concluded that the producers would be at highest regret positions with 98.28 percent in event of selling in November.

The results found in this study could be an indicator for individual chicken producers for a more competitive bargaining power when they make a contract with chicken meat production and marketing firms.

The purpose of this paper is to propose a warranty-based bilateral automated multi-issue negotiation approach.

A methodology for bilateral automated negotiation process is developed considering the targets such as warranty attractiveness, warranty cost, mean time between failures, spare parts cost to the end user over the useful life of the life. The negotiation methodology is explained using different cases of negotiation. The optimization for each negotiation step is carried out using genetic algorithm with elitism strategy.

The result after optimization indicates that the desired target values are achieved and manufacturer obtained desired profit margin.

Application of automated negotiation model is illustrated using a real life case of an automobile engine manufacturer. The proposed approach helps the manufacturer of any product to develop a methodology for carrying out the negotiation process. The approach also results into taking warranty-related decisions at the design stage.

This paper contributes in proposing a generalized methodology for warranty-based negotiation in which the negotiation is carried out between the manufacturer and the customer.

This paper aims to investigate how competition among online auction sellers influences the setting of both open and secret reserve prices, thereby affecting auction outcome.

Using a data set collected from eBay consisting of 787 identical product auctions, three empirical models have been proposed. Model 1 simultaneously estimates the effects of auction competition on a seller’s own open and secret reserve price strategies; Model 2 estimates the effects of auction competition on bidder participation; and Model 3 estimates the direct and indirect effects of auction competition on selling price.

Competition among sellers is central to shaping sellers’ reserve price strategies. When there are more concurrent auctions for identical items, sellers tend to specify a low open reserve and are less likely to set a secret reserve. Sellers are strongly influenced by competitors’ reserve price strategies, and tend to follow competition. Finally, auction competition and competitive reserve price strategies influence both bidder entry and selling prices.

This study has important implications for both sellers and bidders. It highlights the importance for sellers to adapt their reserve price strategies in light of their competitors’ reserve price strategies and offers implications for bidders regarding auction selection. An auction with low starting bid does not necessarily lead to a lower selling price as it attracts more bidders.

This paper focuses on competition among auction sellers, whereas previous literature has focused on competition among bidders. This paper is the first to study the impact of competing reserve prices in auctions.

This research work introduces an imperfect production system where the demand is assumed to be stochastic and it is influenced by random selling price. The shift time from an “in-control” state to an “out-of-control” state is exponentially distributed. The accumulated inventory contains both perfect and defective items which are all sold with a free repair warranty (FRW) offer. Complete back ordering of shortages are taken into account. The purpose of this paper is to determine the optimal selling price and hence the optimal production lot size such that the expected profit is maximized.

The general model is discussed separately for both types of uniformly distributed selling price-sensitive demand pattern: additive type and multiplicative type. Numerical examples and graphical representations of the optimal solutions are provided to illustrate the models.

This paper helps the manager to manage future situations and it may be considered as a base work for the researchers to work in this direction.

The main limitation of this model is to consider a single item for a single channel system. There are many correlated issues that need to be further investigated. The future study in this direction may include the consideration of multi-items, diverse demand pattern with different types of price distributions.

In the production inventory literature, plenty of articles are available considering imperfect production but none of them have considered selling price-sensitive stochastic demand where the sales price is random in character under an FRW offer.

It is now over 35 years since Professor Shackle published his masterly Expectation in Economics, therein formalising and synthesising his innovative work of the previous decade. Since then, though in varying degrees, controversy has raged over the relevance of his ideas for economic theory, and over the relevance of economic theory for economic life.

READ a current CEGB advertisement and you will no longer wonder why your electricity charges are being generated sky high. “Senior Technical Editor up to £6,630 p.a.” it reads—wow. First of all let's take a look at current job descriptions at around £6,000 p.a. A glance at “The Daily Telegraph” reveals the following: “Senior Civil Engineer £5,000—£6,500”; “Chief Compressor Designer £4,000”; “General Manager £6,000”; “Works Director £5,000”; “Quality Assurance Manager £5,000”—and all these— and more—are from advertisements of substantial firms in various engineering fields.

The purpose of this paper is the development for a conceptual framework with regard to the risk management of real estate positions as foundation for transaction decisions. In this context, the current market environment and legal obligations are the main drivers for market participants to improve their risk management practices. Based on this environment, a practical but science backed model is outlined.

The paper uses a conceptual approach based on the existing literature to develop a practical decision support system. In addition, the current risk management best practices are outlined to illustrate the corporate and methodological foundation for the decision support system.

The conceptual model development reveals a clear necessity for the supplementation of price to value measures. Additional measures are derived from theoretic considerations based on Monte Carlo Simulation approaches to the risk management of property investments. These additional risk metrics support investors in order make risk-appropriate decisions.

The resulting decision support system can be applied to the risk management of transaction decisions. Here, the model can be applied in any investment decision to support portfolio management considerations from a comprehensive risk management perspective. Investors can implement the system as part of their transaction procedure.

The existing body of literature mainly focuses on macroeconomic ratios in the context of decision support. In contrast, the present paper reveals a corporate decision support system, which is supposed to foster decisions of market agents especially with regard to potential price and value divergences and tightening legal obligations.

The purpose of this paper is to explore the differences between a traditional costing system (TCS) and resource consumption accounting (RCA) based on a case study carried out in a hospital.

A descriptive case study was first carried out to identify the current costing system of the case hospital. An exploratory case study was then conducted to reveal how implementing RCA within the case hospital assigns costs differently to gallbladder surgeries than the current costing system (i.e. a TCS).

The study showed that, in contrast to a TCS, RCA considers the unused capacity, which is the difference between the work that can be performed based on current resources and the work that is actually being performed. Therefore, it assigns lower total costs to open and laparoscopic gallbladder surgeries. The study also showed that by separating costs into fixed and variable RCA allows managers to benefit from a pricing strategy based on the difference between the service’s selling price and variable costs incurred in providing that service.

The limitation of this study is that, because of time constraints, the implementation was performed in the general surgery department only. However, since RCA is an advanced system that has the same application procedures for any department inside in a hospital, managers need only time gaps to implement this system to all parts of the hospital.

This study concluded that RCA is better than a TCS for use in health care settings that have high overhead costs because it accurately assigns overhead costs to services by considering unused capacities incurred by a hospital. Consequently, this study provides insight into both measuring and managing unused capacities within the health care sector. This study also concluded that RCA helps health care administrators increase their competitive advantage by allowing them to determine the lowest service price.

Since the literature review found no study comparing RCA with TCS in a real-life health care setting, little is known about differences arising from applying these systems in this context. Thus, the current study fills this gap in the literature by comparing RCA with TCS for both open and laparoscopic gallbladder surgeries.

The goal of this paper is to analyze the views of Frank Knight and Ludwig von Mises on the topic of uncertainty and how it influences the theory of individual decision-making and to trace out the implications of the same for the theories of entrepreneurship, equilibrium, and the firm. The paper adopts a historical approach in its analysis of the theory of uncertainty, with an extended discussion of the primary writings of Knight and Mises on this topic. It then uses the insights gleaned from this discussion in order to address issues and topics that have found a prominent place in the modern literature on entrepreneurship, equilibrium, and the firm that draws its inspiration from the Austrian School. The paper offers three main findings: in the realm of entrepreneurship it argues that there can be no theory of the entrepreneur without the concept of uncertainty provided by Knight and Mises, whereas with regard to the theory of equilibrium it focuses on highlighting the concept of an equilibrium with error prevalent in the Austrian tradition and on the implications that an explicit introduction of uncertainty has for the existence of a process of equilibration that pushes the economy toward a state of general equilibrium in real time. As regards the theory of the firm we find that a proper understanding of uncertainty ultimately reverses the direction of any causal explanation of economic organization, making the firm an outcome of dealing with uncertainty rather than a means to do so.

Smallholder farmers are increasingly subject to different types of standards that offer specific conditions for their market incorporation. The proliferation of private and voluntary (civic) standards raises questions regarding their impact on farmers' welfare and their role in the upgrading of value chains. This paper aims to address this issue.

Based on extensive fieldwork and careful matching of 315 farmers in Northern Nicaragua who produce coffee under Fair Trade, Rainforest Alliance and Café Practices labels or deliver to independent traders, the effects on income, production and investments are compared. Moreover, the implications of different contract conditions for risk behaviour, organizational force, loyalty and gender attitudes are assessed.

The paper finds that Fair Trade provides better prices compared with independent producers, but private labels out‐compete Fair Trade in terms of yield and quality performance. While Fair Trade can be helpful to support initial market incorporation, private labels offer more suitable incentives for quality upgrading.

Civic standards exhibit major effects on local institutions' and farmers' behaviour, while B2B standards are more effective for improving production and management practices. Dynamic improvement standards may bridge the gap between both.

Fair Trade standards are useful to provide initial market access to small‐holders, but private standards offer better prospects for subsequent quality upgrading.

This is the first large‐scale comparative impact assessment of coffee standards that delivers unbiased empirical results.