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Public private partnership contracts tend to have longer contract durations compared to other conventional procurement methods. A contract renegotiation becomes inevitable in most of the cases. The renegotiation process usually develops a number of scenarios in order to regain the contract equilibrium. The purpose of this paper is to facilitate the renegotiation process by offering an automated system to select the optimum renegotiation scenario that preserves the rights and the interests of the project stakeholders.

The common renegotiation scenarios used are: increasing the service charges, increasing the concession period or paying a lump sum amount to the party of concern in order to maintain a fixed rate of return and keep the return on equity constant. In this paper, a method of selecting the optimum scenario among the different scenarios is proposed. This is done using a weighted sum model to calculate the weights and ranks of a number of factors influencing the stakeholders’ decisions. A DSS is developed with the aid of Microsoft Excel, VBA programming language, and the Precision Tree 5.5 for Excel add-in.

The renegotiation process has been facilitated by using an automated system that maximizes the benefits of both the public sector and the private sector. The optimum renegotiation scenario has been selected for the case of the model.

The developed framework is of great benefit to project stakeholders, including the private sector, the public sector and the users of the service. It saves time and money invested in lengthy negotiations, and it enforces transparency and mutual trust between the different parties by providing a tool that significantly minimizes conflicts during the renegotiation process and defines clear steps to be followed in order to reach an agreement that will maximize the benefits for both the private and the public sectors.

Incorrect inflationary expectations affect the unemployment rate, hence the question of how expectations are formed is crucial. Examines two hypotheses which have dominated the discussion: the adaptive (AEH) and the rational expectations hypothesis (REH). During the 1980s it was assumed that REH was to be preferred to AEH, but various problems with REH have emerged. Focuses on two of these problems: whether participants in the labour market have the requisite information; and the presence of multiple RE equilibria. It may therefore be necessary for agents to co‐ordinate their expectations. Suggests that institutions of the labour market might hold the key to this question of co‐ordination.

The purpose of this paper is to investigate the manufacturer’s production, pricing and green technology investment decision problem when strategic customer behavior and carbon emissions-sensitive random demand is taken into consideration and discuss the impact of carbon emissions-sensitive demand on the manufacturer’s operation strategies, total carbon emissions and maximum expected profit.

The authors formulate a model to introduce carbon emissions-sensitive demand into the newsvendor framework with strategic customer behavior. The authors characterize the rational expectations equilibrium to derive the optimal solutions to the manufacturer. The authors analyze the effects of carbon emissions-sensitive demand on the manufacturer’s optimal strategies, total carbon emissions and maximum expected profit by comparative analysis.

The authors obtain the manufacturer’s optimal production, pricing and green technology investment strategies under rational expectations equilibrium in scenario of price-sensitive demand and that of carbon emissions-sensitive demand, respectively. The authors find that as customer demand changes from price-sensitive demand to carbon emissions-sensitive demand, the manufacturer’s optimal prices are the same but optimal production quantity, optimal unit carbon emissions and maximum expected profit go down. Though the total emissions decrease, the carbon emissions reduction would not increase as the demand is more carbon emissions-sensitive. Whether it increases or decreases depends on the model parameters.

Carbon emissions-sensitive demand and strategic customer behavior are considered simultaneously in an integrated model. The result can guide the manufacturer decision-making. The proposed model are hoped to shed light to the future works in the field of sustainable supply chain management.

This paper aims to study a retailer’s decision on the price and inventory when facing strategic consumer behavior and demand uncertainty. Price protection is a kind of rebate that the retailer provides to consumers when the price drops during the selling season. The research investigates whether price protection can bring the retailer advantages. This paper compares price protection’s impact with price commitment. In addition, the paper studies the price protection’s impacts on supplier of the supply chain.

In this model, there are three alternative strategies for retailer: no price protection policy, full price protection policy and partial price protection policy. The selling season is divided into two periods: regular period and sale period. In the regular period, the products are sold at a regular price. In the sale one, the products are sold at a lower price. By adopting rational expectations equilibrium, this paper analyzes retailer’s optimal price and order quantity under each policy and compares optimal decisions and maximum profits of three policies.

This paper finds that the price protection has a positive influence on the retailer. Strategic consumers are induced to purchase at the regular period. It can simultaneously increase retailer’s profit and reduce inventory risk. Meantime, full price protection is chosen as the optimal policy. By comparing full price protection’s impacts with price commitment, full price protection is considered as the most profitable strategy, while price commitment can bring lower inventory risk. In addition, the profit of supplier would decrease because of price protection.

This research provides a new method to address the negative effects of strategic consumer behavior. It also brings some managerial insights to some retailers, especially online ones, on whether to adopt price protection.

The purpose of this paper is to discuss the role of reference effect on newsvendor’s decision behavior in a market with strategic customers and work out the newsvendor’s optimal pricing policy and ordering quantity.

This study utilizes the prospect theory and strategic customer framework to analyze the decision-making behavior on the newsvendor’s optimal pricing policy and ordering quantity. The paper further presents an extension of newsvendor model and provides the model’s properties. The paper finally analyzes the results with various parameters on the model and reports on the insights generated by the model.

The paper indicates that the ordering quantity is not altered with the changing proportion of strategic customers and myopic customers, but the ordering quantity and the pricing strategy are influenced in terms of newsvendor’s reference effect, loss aversion, product cost, and salvage price.

The research findings have important implications for decision makers. Previous researches have studied the incomplete rationality newsvendor’s decision-making behavior mainly by analyzing the vendor’s risk preferences or loss aversion, but the effect of reference point also plays an important role in analyzing the decision-maker’s behavior. The paper provides the optimal pricing policy and ordering quantity with the reference effect considering the strategic customers behavior. This model is also a valid complementarity to behavioral operations management research area.

The paper examines the role of reference effect in newsvendor problem with the strategic customers and analyzes the impact of parameters such as loss aversion on the newsvendor’s decision behavior.

Frequent renegotiations within public-private partnership (PPP) have been recognised and affect project efficiency. Literature has focussed on diverse issues associated with renegotiation within PPP, especially in Latin America and Europe. However, a systematic summary what they have already provided appears lacking. Thus, the paper aims to conduct a critical review of publications concerning PPP renegotiation and explore the status quo, future interests and gaps in research.

This study carried out a four-phase literature review research framework to identify the quality PPP-renegotiation articles published from 2003 to 2020. Assessing the full articles for eligibility by providing a structured summary including: background; objectives; data sources; study appraisal; results; limitations; conclusions and implications of key findings. After that, filtering papers associated with PPP renegotiation in terms of the structured summary, and a total of 60 research papers were selected in the database of web of science and Scopus for review.

Methods adopted by researchers, research topics and theoretical foundations of PPP renegotiation research in different disciplines were identified through content analysis. Amongst the popular research topics identified were renegotiation factors, the outcomes with renegotiations, the framework to deal with renegotiations and contract design dealing with renegotiation based on rigid or flexible contracts.

This study contributes to the current body of PPP knowledge by revealing the research trend in the past 20 years. It also points out the directions that the renegotiations of PPP research may go towards in the future. Moreover, this study is very valuable in understanding how governments and concessionaires effectively handle renegotiations.

Can the crisis of women’s victimization in prison be represented in ways that challenge this harm without its self-perpetuation? As a documentary scholar and maker, this was my overriding concern for an activist video project about women and prison. Certainly, documentary and prison tell us much about each other in their shared capacity to weaken some and strengthen others, by way of technologies of vision and distance, while buttressing hegemonic power. Our project was to minimize the possibility of documentary as prison by taking responsibility for the victim documentary itself as a system of power and pain, objectification and punishment.

Bacterial cellulose (BC) is an ideal alternative filtering material. However, current functionalization approaches for BC have not been fully discovered industrially as well as academically applying textile processing. This study aims to create a sustainable fabric-like membrane made of BC/activated carbon (AC) for applications in filtration using textile padding method, to protect people from respiratory pandemics.

Fabric-like BC is first mechanically dehydrated then AC is loaded via a textile padding step. The finishing efficacy, properties of fabric-like BC/AC and NaOH pretreatment are analyzed and characterized by scanning electron microscope (SEM), field emission scanning electron microscope (FE SEM), X-ray diffraction (XRD), CIELab color space, color strength (K/S), nitrogen adsorption-desorption isotherm including Brunauer–Emmett–Teller (BET) specific surface area and Barrett–Joyner–Halenda (BJH) pore size and volume.

This research results in a fabric-like BC/AC with pore diameters of 3.407 ± 0.310 nm, specific surface area of 115.28 m²/g and an efficient scalable padding process, which uses 8 times less amount of chemical and nearly 30 times shorter treating duration than conventional methods.

Our globe is now consuming an alarming amount of non-degradable disposable masks resulting in massive trash buildup as a future environmental problem. Besides, current disposable masks requiring a significant upfront technological investment have posed challenges in human protection from respiratory diseases, especially for countries with limited conditions. By combining a sustainable material (BC) with popular padding method of textile industry, the fabric-like BC/AC will offer sustainable and practical values for both humankind and nature.

This research has offered an effective padding process to functionalize BC, and a unique fabric-like BC/AC membrane for filtration applications.

Expectations play a crucial role in finance, macroeconomics, monetary economics, and fiscal policy. In the last decade a rapidly increasing number of laboratory experiments have been performed to study individual expectation formation, the interactions of individual forecasting rules, and the aggregate macro behavior they co-create. The aim of this article is to provide a comprehensive literature survey on laboratory experiments on expectations in macroeconomics and finance. In particular, we discuss the extent to which expectations are rational or may be described by simple forecasting heuristics, at the individual as well as the aggregate level.