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A study of the price discounts granted by Morton Salt Company and other producers of table salt in the U.S. on their sales of table salt to grocery wholesalers and retailers. The discounts were found to be illegal under the Robinson-Patman Act by the Federal Trade Commission and the Supreme Court. The Commission and the Court believed that the discounts were unjustified price concessions granted to “large” buyers, consistent with the concerns of the Robinson-Patman Act. However, the evidence indicates that the most common discount – the “carload discount” – was received by virtually all buyers, regardless of the buyer’s size; the other discounts – “annual volume” discounts – though received primarily by “large” buyers, were likely cost based. The history of the discounts and likely reasons why they were granted are explored in detail.

The purpose of this paper is to investigate the effect of a fashion store’s visual complexity on consumers’ behaviour. Considering environmental order and individuals’ sensation-seeking tendencies, the authors examine the effect of visually complex fashion stores on consumers in a more conclusive way to address the inconsistent effect found in the previous literature.

This study features a 3 (visual complexity level: low, medium, high) × 2 (environmental order condition: low, high) between subjects design, with individual sensation-seeking tendency included as a moderator. Using this design, an online survey was administered to 188 participants in South Korea.

The results indicate that there is a three-way interaction, where the interaction effect of visual complexity and environmental order is moderated by individuals’ sensation-seeking tendency. The effect of visual complexity on approach behaviours had an inverted U-shape in the low-order condition, while had a positive linear shape in the high-order condition, and the interaction effect was significant only for high-sensation seekers.

The findings assist practitioners in establishing strategies for visual merchandising and store design within fashion stores. It is suggested that retailers consider environmental order when organising a large amount of varied merchandise in a complex environment. Store managers must adjust the complexity and environmental order to meet the optimal stimulation level of their target consumers.

This study strengthens the literature on visual complexity by applying the concept to the retail environment. The results provide a significant contribution to the literature because they show how individual-level and store-level variables interact to influence consumer behaviour.

The theory of third order inference is a theory of how cultural beliefs influence individuals' decisions under conditions of interdependence and uncertainty. In this study, I build on prior work extending the theory to the role of third order information on social trust in public goods dilemmas. Namely, I argue that when second order information on the beliefs of those relevant to the group task are present, this information should influence decision-making over first and third order.

I test this argument in an experimental public goods game. After measuring first order social trust, participants are randomly sorted into one of four conditions – two that pair third and second order information on social trust as parallel and two that pair them as in conflict.

The results suggest that in the presence of second order information on social trust, third order information doesn't have an effect on cooperation.

The study extends the theory of third order inference to understanding the role of social trust at the first, second, and third levels in public goods dilemmas. It puts second order information in competition with third order in predicting cooperation. It suggests that resolving the uncertainty over the second order beliefs of a collective is key to preventing inefficient equilibriums when second and third order beliefs conflict.

Addresses a number of issues relating to determining whether products should be ordered independently and therefore shipped as a single‐product order, or co‐ordinated and shipped as a group, or multiproduct, order from a single source. Factors which might influence the decision include the level or volume of demand, the distribution of demand across products, the weight of items and the attractiveness of the quantity discount offered. Uses an optimal inventory‐theoretic model, that incorporates transport weight breaks and quantity discounts, to assess when product orders should be combined and what products should be ordered separately. The effects of these decisions on the order interval, the number of order groupings, the proportion of items ordered independently, the proportion of attractive discounts forgone in favour of consolidation, and the relative cost savings, are examined using an extensive set of simulated data that are based on a firm in the automobile industry supply chain.

This paper aims to find optimal emission reduction investment strategies for the manufacturer and examine the effects of carbon cap-and-trade policy and uncertain low-carbon preferences on emission reduction investment strategies.

This paper studied a supply chain consisting of one manufacturer and one retailer, in which the manufacturer is responsible for emission reduction investment. The manufacturer has two emission reduction investment strategies: (1) invest in traditional emission reduction technologies only in the production process and (2) increase investment in smart supply chain technologies in the use process. Then, three different Stackelberg game models are developed to explore the benefits of the manufacturer in different cases. Finally, this paper coordinates between the manufacturer and the retailer by developing a revenue-sharing contract.

The manufacturer's optimal emission reduction strategy is dynamic. When consumers' low-carbon preferences are low and the government implements a carbon cap-and-trade policy, the manufacturer can obtain the highest profit by increasing the emission reduction investment in the use process. The carbon cap-and-trade policy can encourage the manufacturer to reduce emissions only when the initial carbon emission is low. The emission reduction, order quantity and the manufacturer's profit increase with the consumers' low-carbon preferences. And the manufacturer can adjust the emission reduction investment according to the emission reduction cost coefficient in two processes.

This paper considers the investment of emission reduction technologies in different processes and provides theoretical guidance for manufacturers to make a low-carbon transformation. Furthermore, the paper provides suggestions for governments to effectively implement carbon cap-and-trade policy.

Variable density flows play an important role in many technological devices and natural phenomena. The purpose of this paper is to develop a robust and accurate method for low Mach number flows with large density and temperature variations.

Low Mach number approximation approach is used in the paper combined with a predictor-corrector method and accurate compact scheme of fourth and sixth order. A novel algorithm is formulated for the projection method in which the boundary conditions for the pressure are implemented in such a way that the continuity equation is fulfilled everywhere in the computational domain, including the boundary nodes.

It is shown that proposed implementation of the boundary conditions considerably improves a solution accuracy. Assessment of the accuracy was performed based on the constant density Burggraf flow and for two benchmark cases for the natural convection problems: steady flow in a square cavity and unsteady flow in a tall cavity. In all the cases the results agree very well with exemplary solutions.

A staggered or half-staggered grid arrangement is usually used for the projection method for both constant and low Mach number flows. The staggered approach ensures stability and strong pressure-velocity coupling. In the paper a high-order compact method has been implemented in the framework of low Mach number approximation on collocated meshes. The resulting algorithm is accurate, robust for large density variations and is almost free from the pressure oscillations.

Freight consolidation across time and customers, use of warehouses, and direct LTL distribution systems are compared on distribution costs and delivery times for selected product characteristics and demand patterns. The results can assist managers in determining whether using freight consolidation is a viable alternative to direct shipments from plants or warehouses.

The paper aims to explore how power and gender influence decision making in an operational and risky context.

The authors run a laboratory experiment. The experimental factors are power and operational profitability. Power is manipulated using an episodic priming task, while profitability, by changing a newsvendor-type product’s procurement cost. Participants’ risk attitude is captured using a risk lottery.

Participants deviate from the optimal order regardless of the power condition and their risk profile. Risk-seeking women order consistently more than risk-seeking men, which allow women to offer a higher service level. In the low-profit condition, men prefer to make more conservative decisions, which allow them to place orders that are closer to the economical benchmark, where both men’ induced power and the risk-seeking tendencies from both genders play a role. Behavioural models in the high-power condition explain the observed differences in ordering behaviours.

This paper provides behavioural research to explore how differences in power and gender, and their links with risky decision making, influence decision making in an uncertain operations management context, representing thus an important departure from mainstream studies.

It was the purpose of this study to identify areas of teacher motivation by determining teacher needs and their relationship to job satisfaction. This objective was pursued by applying the concept of higher and lower order need strength to secondary public school teachers. This concept was first developed and applied in business administration as a means of measuring worker motivation. It is based on the assumption that a match between the needs experienced by the individual and the needs fulfilled by the job bring greater job satisfaction and thus an increase in job productivity. While a predominance of higher order needs in secondary school teachers was found, the correlation of need strength and job satisfaction varied by school district. Apparently teaching in some schools is more satisfying to teachers with lower order needs while teaching in other schools is more satisfying to teachers with higher order needs.

This paper identifies, configures and analyses a solution aimed at increasing the efficiency of in-store picking for e-grocers and combining the traditional store-based option with a warehouse-based logic (creating a back area dedicated to the most required online items).

The adopted methodology is a multi-method approach combining analytical modelling and interviews with practitioners. Interviews were performed with managers, whose collaboration allowed the development and application of an empirically-grounded model, aimed to estimate the performances of the proposed picking solution in its different configurations. Various scenarios are modelled and different policies are evaluated.

The proposed solution entails time benefits compared to traditional store-based picking for three main reasons: lower travel time (due to the absence of offline customers), lower retrieval time (tied to the more efficient product allocation in the back) and lower time to manage stock-outs (since there are no missing items in the back). Considering the batching policies, order picking is always outperformed by batch and zone picking, as they allow for the reduction of the average travelled distance per order. Conversely, zone picking is more efficient than batch picking when demand volumes are high.

From an academic perspective, this work proposes a picking solution that combines the store-based and warehouse-based logics (traditionally seen as opposite/alternative choices). From a managerial perspective, it may support the definition of the picking process for traditional grocers that are offering – or aim to offer – e-commerce services to their customers.