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Although unfavorable pricing errors (UPEs) cost customers billions of dollars each year, research has not yet examined customers’ reactions to UPEs. This paper aims to fill this gap by examining customers’ reactions to UPEs in terms of frequency, magnitude and the interaction between frequency and magnitude. Also, this study explores the moderated mediating role of price consciousness.

Three experimental studies were conducted to examine customers’ reactions to UPEs in terms of frequency, magnitude and the interaction between frequency and magnitude. PROCESS Model 6 and 84 along with multivariate regression analysis and MANOVA were used to test the hypotheses.

The results show that high-frequency and high-magnitude UPEs lead to increased perceived deception and dissatisfaction, resulting in a higher negative attitude toward the grocery store, decreased re-patronage intentions and increased negative word-of-mouth (NWOM). Also, results show that regardless of customers’ price consciousness level, customers display negative reactions when encountering UPEs.

This paper only investigates UPEs in the brick and mortar setting; future studies should examine UPEs in different settings.

The findings show that UPEs can cause significant problems for grocery stores. Thus, managers should take precautionary measures (e.g. constantly checking shelves) to ensure that the advertised price and the checkout price match.

This paper represents the first attempt to empirically examine the relationship between UPEs frequency and magnitude, on the one hand, and perceived deception, dissatisfaction, customer attitude, re-patronage intentions, NWOM and price consciousness on the other.

Since consumers are being provided with ever‐increasing amounts of information, there is an increasing need to study the way in which they handle purchasing information. Investigates the effect of buy‐frequency on one theory of consumer decision making: Perceived Risk Theory. Survey data from 100 consumers revealed that in general perceived risk decreased as buy‐frequency increased, but only for high‐value products and services and not as much as expected. High‐value services showed considerably less risk decrease as buy‐frequency increased than did high‐value products, possibly due to their heterogeneity. Experienced purchasers place more emphasis on pre‐purchase product trial and purchasing well‐known brands for high‐value goods and store image and brand loyalty for low‐value goods, than inexperienced purchasers. Discusses the implications for perceived risk measurement as well as retailing.

This research aims to integrate two theories of reference price formation and to test the resulting exemplar‐prototype hybrid (EPH) model's predictions. Study 1 tests the predictions of the EPH model regarding price attractiveness ratings. Study 2 helps to document the process by which the EPH model operates.

The investigation consists of a pair of laboratory experiments that manipulate the skew (positive, negative) of historic price data, and the frequency of the modal price (high, low) in the price history.

Both the skew of prices to which consumers are exposed and the frequency with which the modal price occurs affect recall of the modal price and evaluations of the attractiveness of subsequent prices.

Consumers rely on information about both the price range and individual price points to form reference prices. Common models of reference price effects may be improved by including a non‐linear estimate of the effect of modal price frequency.

Managers are advised to offer a consistent regular price from which occasional discounts of varying value are offered to create a strong memory trace in consumers' minds for the higher “regular” price and avoid such a trace for any one discounted price.

Prior studies detail aspects of the relationship between reference prices and the attractiveness of market prices. This is the first attempt to integrate, rather than contrast, the two predominant types of theories (range‐based, price‐point based) of reference price formation.

The paper aims to develop a theoretical model to explain the exact process through which the scale effect works to create a possible wedge between a perception-based ranking like the “Corruption Perception Index (CPI) ” and the axiomatic “absolute costs of corruption”-based ranking of economies with low enforcement against corruption.

The paper takes into account corruption both at the “high” and “low” levels of bureaucracies, where the bribes are paid sequentially at the two levels. The bribes are endogenously determined at the equilibrium using a sequential game approach.

The paper finds that in the absence of coalition between the two levels of bureaucrats, both the absolute level of corruption and the welfare level of the economies are expected to vary inversely with the perceived corruption frequency. The paper also explores the possibility of a stable coalition between the “high” and “low” level bureaucrats and shows that with the perception of a stable coalition being formed, the negative monotonic relation between the corruption frequency and the absolute size of corruption breaks down.

First, the paper argues that the ranking of the economies with low enforcement against corruption on the basis of perceived corruption frequency may not reflect the ranking of the economies according to their absolute size of corruption; it points out that the perceived higher corruption frequency in an economy as reflected in CPI can be an indicator of both the lower size of “high” level corruption and absolute size of corruption in the economy. Particularly, this happens in economies where coalition between the “high” and “low” level officials does not form. Second, it identifies the exact way in which the scale effect works to create a difference in the CPI ranking and the axiomatic “absolute costs of corruption”-based ranking and explains why similar difference would exist if “absolute costs of corruption”-based ranking is derived from all the sources of hard data on corruption. Third, it explains why a stable coalition between the “high” and “low” level bureaucrats in economies with low enforcement does not usually form.

The purpose of this paper is to provide novel insights into arts consumption behaviour and patterns of communication displayed by arts consumers using Peterson’s theoretical framework, and to identify differences in the use of communication channels across arts segments.

The authors conducted an a priori market segmentation study, with two variables serving as segmentation criteria, namely, the frequency of and the variety of arts events attended. The authors tested for differences in communication patterns.

Four segments were created: low-frequency univores, low-frequency multivores, high-frequency multivores and high-frequency omnivores. They differ in their communication patterns and online behaviours, including their online activities before and after attending arts events. Printed materials and e-mail newsletters were the most effective communication channel for raising awareness of all arts consumers.

Understanding these communication patterns can help arts marketers to increase the attendance of low-frequency segments and broaden the variety of arts events attended by the univore and multivore segments. The generalisability of the findings is limited as the survey was conducted among online Australian arts consumers only.

The paper adds the dimension of arts consumption frequency to the taxonomy of omnivores and univores proposed by Peterson, which is based on the variety of consumed arts only. The paper contributes to communication and arts marketing literature by identifying key differences in communication patterns across segments of arts consumers and the most promising communication channels to engage them.

Detection of low-frequency pressures such as heart rate in the range of 1 Hz is one of the applications of low-frequency resonator. In this paper, the structure of the resonator is in the form of a plate, whose mathematical model has been extracted according to past works and is reported.

This paper presents an electromechanical microresonator that can be used as an ultra-low-frequency pressure sensor. It is very important to choose the right material for the sensors to have the optimal conditions. In this work, by proposing the innovative use of polytetrafluoroethylene material with low stiffness coefficient, the necessary conditions are provided to reduce the vibration frequency of the resonator.

The proposed design is simulated with the help of COMSOL, and its results are compared with the results of the mathematical model, which are very close to each other. Therefore, by inferring the results, the authors can rely on accurate simulations and finalize the similar designs with full confidence before fabrication.

There are important advantages regarding the geometry of the proposed design structure that is the possibility of detecting a pressure of 1 Pa only with voltages less than 2 V. On the other hand, the pull-in effect causes very low frequencies to be achieved in detection with the help of the proposed resonator. Also, the linear and nonlinear behavior of the resonator by applying different pressures has been studied and reported to find the appropriate operating range of the resonator and its limitations.

In order to evaluate the rheological properties of asphalt more comprehensively and effectively, and to explore and discuss the practicability of relevant models in the evaluation of the rheological properties of asphalt.

Based on the rheological and viscoelastic theories, temperature scanning, frequency scanning and multiple stress creep recovery (MSCR) tests of different modified asphalt were carried out by dynamic shear rheometer (DSR) to obtain relevant viscoelastic parameters and evaluate the high temperature properties of different modified asphalt. Based on the time-temperature equivalence principle, the main curve was constructed to study the viscoelastic properties of asphalt in a wider frequency domain. The main curve was fitted with the CAM model, and the rheological properties of different modified asphalt were evaluated through the analysis of model parameters. The creep stiffness and creep velocity of different modified asphalt were obtained through the rheological test of bending beam (BBR), and the low-temperature performance of different modified asphalt was analyzed by using Burgers model to fit the creep compliance.

The results show that the high temperature rheological properties of several modified asphalt studied in the test are ranked from best to worst as follows: PE modified asphalt > SBS modified asphalt > SBR modified asphalt. Short-term aging can improve the high temperature performance of asphalt, and different types of modifiers can promote or inhibit this improvement effect. Based on BBR test and Burgers model fitting analysis, SBR modified asphalt has the best low temperature performance, followed by SBS modified asphalt, while PE modified asphalt has poor low temperature performance, so it is not suitable to be used as road material in low temperature area.

Combined with effective evaluation methods, the rheological properties of asphalt at different temperatures and angles were systematically evaluated, and the evolution of rheological properties of asphalt characterized by model parameters was further analyzed by advanced model simulation.

The current trend in ground resonance testing is aimed at providing aircraft modes of vibration appropriate to the free‐free condition. To achieve this objective the rigid body frequencies of the aircraft on its supports must be low by comparison with the frequency of any mode of distortion. A minimum frequency ratio of 1:3 is specified. The various types of support in current use are considered in relation to the minimum frequency they are likely to provide. It appears that none are capable of frequencies lower than about 0·5 cycles/sec. For the forthcoming generation of large thin‐wing aircraft with fundamental frequencies below 1 cycle/sec. some further development in methods of support seems necessary. A non‐linear spring system appears to hold great promise in this respect, and one such system is described capable of frequencies less than 0·25 cycles/sec. for a limited range of movement.

This study aims to examine the multiscale predictability power of COVID-19 deaths and confirmed cases on the S&P 500 index (USA), CAC30 index (France), BSE index (India), two strategic commodity futures (West Texas intermediate [WTI] crude oil and Gold) and five main uncertainty indices Equity Market Volatility Ticker (EMV), CBOE Volatility Index (VIX), US Economic Policy Uncertainty (EPU), CBOE Crude Oil Volatility Index (OVX) and CBOE ETF Gold Volatility Index (GVZ). Furthermore, the authors analyze the impact of uncertainty indices and COVID-19 deaths and confirmed cases on the price returns of stocks (S&P500, CAC300 and BSE), crude oil and gold.

The authors used the wavelet coherency method and quantile regression approach to achieve the objectives.

The results show strong multiscale comovements between the variables under investigation. Lead-lag relationships vary across frequencies. Finally, COVID-19 news is a powerful predictor of the uncertainty indices at intermediate (4–16 days) and low (32–64 days) frequencies for EPU and at low frequency for EMV, VIX, OVX and GVZ indices from January to April 2020. The S&P500, CAC30 and BSE indexes and gold prices comove with COVID-19 news at low frequencies during the sample period. By contrast, COVID-19 news and WTI oil moderately correlated at low frequencies. Finally, the returns on equity and commodity assets are influenced by uncertainty indices and are sensitive to market conditions.

This study contributes to the literature by exploring the time and frequency dependence between COVID-19 news (confirmed and death cases) on the returns of financial and commodity markets and uncertainty indexes. The findings can assist market participants and policymakers in considering the predictability of future prices and uncertainty over time and across frequencies when setting up regulations that aim to enhance market efficiency.

Magnetohydrodynamics angular regular sensor (MHD ARS) has been used in many applications for its low noise in wide bandwidth, impact resistance and low power consumption; however, it is unable to estimate the angular velocity at low frequencies such as below 1 Hz. It is difficult to design compensation methods without an exact model. The aim of this study is to investigate a more exact analytical model characterization of the sensor’s frequency response, especially at a low-frequency zone.

A correction coefficient of electromagnetic force in simplified MHD ARS model was introduced according to the theoretical analysis of MHD flow and it was obtained by numerical simulation of electromagnetic force varying with time, space structure and frequency.

To make comparison, the transfer function of the designed MHD ARS in the experiment was identified using Gauss–Newton method with reasonable weights. The identification results confirmed the analytical model. Furthermore, a digital filter was designed based on the analytical model, and the compensation results showed that the frequency limit at low-frequency side was extended from 1 to 0.01 Hz.

The modified analytical model can describe the MHD ARS’s frequency response exactly and may be applied in its low-frequency compensation.