Prospect Theory,Fairness, and the Escalation of Conflict at a Negotiation Impasse*

We study a bilateral negotiation set-up where, at a bargaining impasse, the disadvantaged party chooses whether to escalate the conflict or not. Escalation is costly for both parties, and it results in a random draw of the winner of the escalated conflict. We derive the behavioral predictions of a simple social utility function, which is convex in disadvantageous inequality, thus connecting the inequity aversion and the prospect theory models. Our causal laboratory evidence is, to a large extent, consistent with the predicted effects. Among other things, the model predicts that the escalation rate is higher when escalation outcomes are riskier, and that the disagreement rate is lower when the cost of escalating the conflict is higher.     

Anticipated guilt and pleasure in a healthy food consumption context

Recognizing the increasing importance of healthiness in food-related businesses, this study attempted to investigate the role of consumers’ affective responses in a healthy food consumption context. To achieve its objectives, this study incorporated anticipated emotional constructs in a decision-making model and investigated the relationships among perceived healthiness, anticipated guilt and pleasure, and behavioral intentions (e.g., purchase, spreading positive word-of-mouth, and recommending the food) in a quick service restaurant setting. The results of this study suggest that anticipated pleasure positively influenced behavioral intentions and mediated the relationship between perceived healthiness and behavioral intentions, whereas anticipated guilt did not influence behavioral intentions. Additionally, this study investigated the moderating role of dietary concerns in consumers’ decision-making processes and found that the low dietary concerns group was more susceptible to anticipated pleasure compared to the high dietary concerns group. Further findings and implications are provided in the main body of the paper.     

Optimal distribution of the injured in a multi-type transportation network with damage-dependent travel times: Two metaheuristic approaches

We study a location-allocation-routing problem for distribution of the injured in a disaster response scenario, considering a three-type transportation network with separate links. A circle-based approach to estimate the impacts of the disaster is presented. After formulating relations for computing the percentage of the injured, the destruction percentage and the damage-dependent travel times, the problem is formulated as an integer nonlinear program. We utilize a genetic algorithm and a discrete version of the imperialist competitive algorithm for solving large problems. An empirical study focused on earthquakes in Tabriz, Iran, illustrates applicability of the proposed model and performance of the proposed algorithms.     

A model for planning locations of temporary distribution facilities for emergency response

We propose a network flow model for dynamic selection of temporary distribution facilities and allocation of resources for emergency response planning. The model analyzes the transfer of excess resources between temporary facilities operating in different time periods in order to reduce deprivation. Numerical analysis shows that the location of temporary facilities is determined by the demand and supply points. This work contributes to the emergency response planning that requires a quick response for the supply of relief materials immediately after a disaster hits a particular area.     

Catalytic defiance as a crisis communication strategy: The risk of pursuing long-term objectives

In 2014, Dairy Khoury, a medium-sized family dairy located in Lebanon, was accused of using a health-threatening carcinogenic substance as a preservative in its products. The news created an immediate food safety concern and a product harm crisis, resulting in dramatic reputation loss and operational risks to Dairy Khoury. In this article, we analyze Dairy Khoury’s response to the product harm crisis through an examination of the communication strategies used to address internal and external stakeholders. We then introduce traditional corrective action response strategies from the crisis communication literature. In the Dairy Khoury case study, the company opted to defend its reputation and clarify the misunderstanding using catalytic defiance, a long-term crisis response strategy. Our analysis provides insight regarding the risks and benefits of pursuing long-term versus short-term strategies during crisis recovery. This article contributes to crisis communication theory and practice and sheds light on the dynamics of crisis management in family businesses.     

DEMAND,CUSTOMER BASE‐LINE AND DEMAND RESPONSE IN THE ELECTRICITY MARKET: A SURVEY

The increasing use of demand‐side management, as a tool to reliably meet electricity demands at peak time, has stimulated interest among researchers, consumers and producer organiza‐tions, managers, regulators and policymakers. This research reviews the growing literature on models which are used to study demand, customer base‐line (CBL) and demand response in the electricity market. After characterizing the general demand models, the CBL, based on which the demand response models are studied, is reviewed. Given the experience gained from the review and existing conditions, the study combines an appropriate model for each case for a possible application to the electricity market; moreover, it discusses the implications of the results. In the literature, these aspects are studied independently. The main contribution of this survey is attributed to the treatment of the three issues as sequentially interdependent. The review is expected to enhance the understanding of the demand, CBL and demand response in the electricity market and their relationships. The objective is conducted through a combination of demand and supply side managements in order to reduce demand through different demand response programs during peak times. This enables electricity suppliers to save costly electricity generation and at the same time reduce energy vulnerability.     

Local interests or centralized targets? How China’s local government implements the farmland policy of Requisition–Compensation Balance

The Requisition–Compensation Balance of Farmland (RCBF) is a strict policy in China aimed at controlling farmland conversion and replenishing farmland loss caused by urban expansion through a set of top-down quotas. These conflict with local interests, since land conversion from agriculture to construction is a key tool by which local governments attract investment and raise fiscal revenue. How should local authorities respond to this centralized policy? This paper presents a framework “quantity–quality–productivity–environment” to investigate local governments’ coping strategy and the holistic performance of the RCBF. The empirical study indicated that local jurisdictions placed economic and financial growth first and continued expropriating farmland on a large-scale, including land of high quality, for development. However, impelled by compulsory quotas and supervision from governments at higher levels, local authorities would partly replenish the quantity loss through farmland exploitation, regardless of the quality of the new cropland and the possible environmental impact. Consequently, fast requisition and unqualified compensation undermined the capacity of regional agricultural output. We suggest that the RCBF is not capable of guaranteeing food security, whilst farmland supplementation threatens the local environment.     

Load profiles and flexibility in operation of washing machines and dishwashers in Europe

While the energy generation system is changing towards the use of more renewable energies, the problem of how to deal with fluctuating energy supply is increasing. Smart appliances in households are often referenced as one possible solution, as their operation may be shifted in time and, thus, used to balance an unstable energy supply. The potential of such appliances has been studied to date mainly in pilot installations with a very limited number of participants or by making assumptions on what might be possible. With this work, a semi‐representative approach for 12 European countries was used to assess actual consumer habits for the use of washing machines and dishwashers which then could be used to calculate average load profiles for those appliances depending on the time of the day. Using these profiles, it is strait forward to calculate how much load may be shifted by those appliances in a demand response application. This allows aggregators or energy utilities to assign clear financial benefits to the shifting potential of those appliances. Consumers use the shifting of appliance operation already today for various reasons. Investigating these reasons allows to learn already a lot about the flexibility of consumers.     

Arc routing problems to restore connectivity of a road network

After a disaster, restoring accessibility in the affected area is critical for response operations. We study two arc routing problems for clearing blocked roads. The first problem minimizes the time to reconnect the road network, while the second maximizes the total benefit gained by reconnecting network components within a time limit. For each problem, we develop a mixed integer programming formulation and two versions of a heuristic algorithm. We conduct computational experiments on Istanbul data and instances adapted from the literature. The heuristics achieve near-optimal or optimal solutions quickly in most of the tested instances.     

Resource conflict detection and removal strategy for nondeterministic emergency response processes using Petri nets

Correctness of an emergency response process specification is critical to emergency mission success. Therefore, errors in the specification should be detected and corrected at build-time. In this paper, we propose a resource conflict detection approach and removal strategy for emergency response processes constrained by resources and time. In this kind of emergency response process, there are two timing functions representing the minimum and maximum execution time for each activity, respectively, and many activities require resources to be executed. Based on the RT_ERP_Net, the earliest time to start each activity and the ideal execution time of the process can be obtained. To detect and remove the resource conflicts in the process, the conflict detection algorithms and a priority-activity-first resolution strategy are given. In this way, real execution time for each activity is obtained and a conflict-free RT_ERP_Net is constructed by adding virtual activities. By experiments, it is proved that the resolution strategy proposed can shorten the execution time of the whole process to a great degree.