Search results

This work examines the effects of strain rate on the effective yield strength of high-strength steel at elevated temperatures, through tensile coupon tests at various strain rates, to propose appropriate reduction factors considering the strain rate effect.

The stress–strain relationships of 385 N/mm2, 440 N/mm2 and 630 N/mm2-class steel plates at elevated temperatures are examined at three strain rate values (0.3%/min, 3.0%/min and 7.5%/min), and the reduction factors for the effective yield strength at elevated temperatures are evaluated from the results. A differential evolution-based optimization is used to produce the reduction-factor curves.

The strain rate effect enhances with an increase in the standard design value of the yield point. The effective yield strength and standard design value of the yield point exhibit high linearity between 600 and 700 °C. In addition to effectively evaluating the test results, the proposed reduction-factor curves can also help determine the ultimate strength of a steel member at collapse.

The novelty of this study is the quantitative evaluation of the relationship between the standard design value of yield point at ambient temperature and the strain-rate effect at elevated temperatures. It has been observed that the effect of the strain rate at elevated temperatures increases with the increase in the standard design value of the yield point for various steel strength grades.

This chapter investigates the cost of public debt for firms using a comprehensive sample consisting of 17,368 industrial bond issues from 1970 to 2011. The empirical evidence shows that yield spreads for seasoned bond issues are significantly lower than those for initial bond issues. This seasoning effect is robust across different sample periods, subsamples, and model specifications. On average, the yield spreads for seasoned bond issues are around 50 bps lower than those for initial bond issues. This difference cannot be explained by other bond and firm characteristics. The seasoning effect is more pronounced for firms with higher levels of uncertainty, lower information disclosure quality, and longer time intervals between the first and subsequent issues. Our empirical findings provide supportive evidence for the extant theories that aim to rationalize the information role in determining the cost of capital.

This paper aims to measure the trade price impact of a recent regulatory disclosure intervention in municipal securities secondary markets, which required broker-dealers to disclose securities trading information on a near-real-time and continuing basis.

The author analyzes trade price outcomes in the preintervention and postintervention regimes using a suite of time series estimations that give heteroskedasticity-robust standard errors (Prais–Winsten and Cochrain–Orcutt), accommodate higher-order lag structure in the error term (autoregressive integrated moving average) and account for volatility clustering in the time series (generalized autoregressive conditional heteroskedasticity).

Results show that regulatory disclosure intervention significantly improved trade price efficiency in municipal securities secondary markets as daily trade price differential and volatility both declined market-wide after the disclosure intervention.

The sample consists of trades in State of California general obligation bonds; therefore, empirical findings may not be generalizable to other states, local governments and different types of bonds.

The findings highlight voluntary information disclosure as a practical and effective mechanism in disclosure regulation of municipal securities secondary markets.

Only a small body of work exists that examines information disclosure regulation in municipal securities secondary markets; therefore, this paper expands knowledge on the topic and should provide renewed impetus for regulatory efforts aimed at improving the efficiency of municipal capital markets.

This study aims to examine how consumers perceive the persuasion intent and sincerity of brand messages differently and to what extent the advertised brand sounds opportunistic within the context of a crisis, depending on what the message offers.

In Study 1 (N = 163), the brand messages were manipulated in terms of control (an empathetic claim only), monetary reward (with a discount offer) and cause-related marketing (CRM) conditions. In Study 2 (N = 150), the message effects were replicated using a different product category. In Study 3 (N = 216), the three brand messages were examined under high vs low involvement conditions.

The results revealed a linear decrease in negativity in consumer responses when the brand message offers CRM activity, followed by one that offers a discount. It was also found that the monetary reward message was perceived to have greater persuasion intent and be more opportunistic than other message types under low involvement, whereas such effects disappeared under high involvement. Conversely, the CRM message was perceived to have greater persuasion intent and be more opportunistic under high involvement (vs low).

Amidst the global economic impact and corporate landscape changes, there is limited understanding of consumer responses to crisis-related brand messages. Rooted in the attribution theory and the persuasion knowledge model, this study fills the gap by examining how consumers assess the underlying motives of different message types and perceive brands as taking advantage of the crisis situation.

This study aims to test the compensatory consumption theory with the explicit hypothesis that China's new-rich tend to waste relatively more food.

In this study, the authors use Heckman two-step probit model to empirically investigate the new-rich consumption behavior related to food waste.

The results show that new-rich is associated with restaurant leftovers and less likely to take them home, which supports the compensatory consumption hypothesis.

Understanding the empirical evidence supporting compensatory consumption theory may improve forecasts, which feed into early warning systems for food insecurity. And it also avoids unreasonable food policies.

This research is a first attempt to place food waste in a compensatory-consumption perspective, which sheds light on a new theory for explaining increasing food waste in developing countries.

The purpose of this research is to identify how a reward programme name (“loyalty programme” (LP) versus “customer club” (CC)) influences the type of central rewards expected and their impact on loyalty to the retailer.

The authors conducted a survey followed by an experiment.

Central rewards from programmes called LP are equally hard and soft, whereas central rewards from programmes called CC are mainly soft. Providing customers with central rewards increases satisfaction with the programme and loyalty to the retailer, but only for programmes called LP.

Loyalty managers are advised to pay particular attention to the consistency between the type of rewards they offer and the reward programme name that carries them. Contrary to the name LP that leads to me-too programmes, the name CC offers more flexibility to choose the rewards, providing opportunities to stand out from competing programmes.

By building on a new and original theoretical approach, this research is the first attempt to investigate the effect of the reward programme naming decisions on customers' evaluations and responses.

This paper aims to present two Anand’s model parameter sets for the multilayer silver–tin (AgSn) transient liquid phase (TLP) foils.

The AgSn TLP test samples are manufactured using pre-defined optimized TLP bonding process parameters. Consequently, tensile and creep tests are conducted at various loading temperatures to generate stress–strain and creep data to accurately determine the elastic properties and two sets of Anand model creep coefficients. The resultant tensile- and creep-based constitutive models are subsequently used in extensive finite element simulations to precisely survey the mechanical response of the AgSn TLP bonds in power electronics due to different thermal loads.

The response of both models is thoroughly addressed in terms of stress–strain relationships, inelastic strain energy densities and equivalent plastic strains. The simulation results revealed that the testing conditions and parameters can significantly influence the values of the fitted Anand coefficients and consequently affect the resultant FEA-computed mechanical response of the TLP bonds. Therefore, this paper suggests that extreme care has to be taken when planning experiments for the estimation of creep parameters of the AgSn TLP joints.

In literature, there is no constitutive modeling data on the AgSn TLP bonds.

The primary purpose of this study is to examine the factors leading to shopping cart abandonment and construct a model depicting interrelationship among them using interpretive structural modeling (ISM) and Matriced Impact Croises Multiplication Appliquee an un Classement (MICMAC).

Initially, 20 factors leading to shopping cart abandonment were extracted through a systematic literature review and expert opinions. Fifteen factors were finalized using the importance index and CIMTC method, for which consistency has been checked in SPSS software through a statistical reliability test. Finally, ISM and MICMAC approach is used to develop a model depicting the contextual relationship among finalized factors of shopping cart abandonment.

The ISM model depicts a technical glitch (SC8), cash on delivery not available (SC4), bad checkout interface (SC9), just browsing (SC11), and lack of physical examination (SC12) are drivers or independent factors. Additionally, four quadrants have been formulated in MICMAC analysis based on their dependency and driving power. This facilitates technical managers of e-commerce companies to focus more on factors leading to shopping cart abandonment according to their dependency and driving power.

Taking an expert’s opinion as a base may affect the results of the study due to biases based on subjectivity.

This study’s outcomes would accommodate practitioners, researchers, and multinational or national companies to indulge in e-commerce to anticipate factors restricting the general public from online shopping.

For the successful running of an e-commerce business and to retain the confidence of e-shoppers, every e-commerce company must make a strategy for controlling factors leading to shopping cart abandonment at the initial stage. So, this paper attempts to highlight the main factors leading to shopping cart abandonment and interrelate them using ISM and MICMAC approaches. It provides a clear path to technical heads, researchers, and consultants for handling these shopping cart abandonment factors.

This study aims to contribute to the International Business literature by investigating the marketing stimuli that drive impulsiveness and perceived value in mobile shopping (MS) platforms and their impact on consumer response.

This study uses a sample of 891 MS platform users and applies structural equation modeling based on the stimulus–organism–response and the consumption value theory.

The empirical finding revealed that rewards, recognition, reviews and ratings are the most influential factors driving perceived value. In addition, the results indicated that customized offerings and visually appealing experiences were the most critical factors affecting the state of impulsiveness. This study also highlights the negative impact of the ubiquitous nature of MS on impulse buying behavior, emphasizing the importance of providing consumers with tools to make informed decisions. This study demonstrates a significant positive relationship between perceived value and impulsiveness, influencing MS.

This study reveals generational differences in the impact of reviews and ratings on perceived value, which can inform businesses’ MS strategies. The results have implications for managers of international firms seeking to optimize their business strategies.

To the best of the authors’ knowledge, using structural equation modeling, this study is the first to conduct a comprehensive examination of marketing stimuli, impulsiveness and perceived value in MS platforms. It offers businesses strategic insights by identifying rewards, recognition and customized offerings as the key determinants of consumer behavior.