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In marketing, most research on intention–behavior consistency (IBC) is dedicated to improving the predictive ability of stated intentions for future behaviors, with relatively less exploration into the precursors of IBC, especially those linked to regular durable goods void of ethical consumption characteristics. This study aims to focus on the antecedents of IBC for such products, specifically examining category-level and product-level IBC in light of consumer knowledge.

The authors conducted a two-round survey to collect 3,560 Chinese consumers' vehicle purchase intentions and behaviors. The authors have also leveraged a large vehicle database (containing detailed vehicle attribute information) to measure consumer product knowledge (i.e. product judgment accuracy). A trivariate probit model was proposed to account for the potential selection bias arising from sample attrition while examining the effects of consumer knowledge on category- and product-level intention-behavior consistency.

Findings reveal that 47% of the participants displayed category-level IBC, and within this group, a further 39% exhibited product-level IBC. Notably, product knowledge, manifested as accurate product judgment, correlates negatively with category-level IBC but positively with product-level IBC. Intriguingly, the negative association between inaccurate judgment and product-level IBC is less pronounced for consumers overestimating the target product than for those underestimating it. Furthermore, consumers with direct experience are less prone to show category-level IBC, but are more inclined to display product-level IBC.

Vehicle marketers should prioritize consumers who show interest in their products but possess inaccurate knowledge, to retain whom companies can nurture their product knowledge. As for consumers with accurate knowledge, companies should try to expedite their purchase. Vehicle marketers also need to devise suitable advertising strategies to prevent consumers from undervaluing their products. For those overestimating competitors' products, companies can provide information to correct their overestimation and draw attention to possible confirmation biases. Vehicle marketers should encourage potential buyers who have shown interest in their product to participate in test-drive events, exhibitions, and other direct experience opportunities. Yet, for consumers still in the “whether-to-buy” decision-making phase, companies should not rush them into a test drive.

In the policy-making realm, governmental administrators can implement extensive consumer education programs, with a focus on the importance of product knowledge. This may involve providing consumers with accurate information and buying guides through various channels, which can help consumers make informed purchase decisions. Moreover, to foster healthy competition among vehicle companies, governmental administrators can establish regulations that require vehicle companies and other relevant industries to provide accurate and transparent product information, including performance, safety, and environmental aspects. Finally, in order to protect consumer rights, governmental administrators can also strengthen regulations to ensure fair treatment and safeguards for consumers throughout the purchasing process. This includes cracking down on false advertising and fraudulent practices, maintaining market order, and enhancing consumer confidence and purchase consistency.

This study is among the first attempts to examine the relationship between consumer knowledge and intention-behavior consistency, especially for regular durable products void of ethical consumption characteristics. Responding to the call of previous literature (e.g. Morwitz, 1997), the authors distinguish between and examine two forms of intention-behavior consistency simultaneously (using a sample selection model) and obtain more reliable conclusions. Moreover, the study's large-scale two-round survey had obtained individual-level purchase behavioral outcomes, which allowed the authors to measure each consumer's IBC at both category and product levels. More importantly, the authors show the opposite effects of consumer knowledge on the two forms of intention-behavior consistency.

This study seeks to develop a general framework for evaluating communication platforms in e‐commerce, and then apply the framework to investigate what factors have impeded m‐commerce from taking off in the specific context of China.

The paper proposes a three‐dimension framework for evaluating a communication platform in e‐commerce, which features reach, richness, and costs of communications as its salient characteristics. Grounded on the framework, a comparative analysis is conducted using data from a survey sponsored by the Ministry of Commerce of China. The analysis, from the user's perspective, compares facilitators and inhibitors for using communication platforms in two different contexts, the mobile communication platform in m‐commerce vs the fixed communication platform in the “classical” e‐commerce.

The study finds that, compared with e‐commerce over the fixed communication platform, the m‐commerce in China enjoys relatively great communication reach but suffers from relatively low communication richness. In the mean time, costs of communications do not seem to be a major barrier for m‐commerce growth.

The three‐dimension framework can serve as an underlying model not only to evaluate currently available communication platforms for e‐commerce, but also to address economic calculus of benefits and costs of emerging communication platforms.

Limited by the types of sensors, the state information available for musculoskeletal robots with highly redundant, nonlinear muscles is often incomplete, which makes the control face a bottleneck problem. The aim of this paper is to design a method to improve the motion performance of musculoskeletal robots in partially observable scenarios, and to leverage the ontology knowledge to enhance the algorithm’s adaptability to musculoskeletal robots that have undergone changes.

A memory and attention-based reinforcement learning method is proposed for musculoskeletal robots with prior knowledge of muscle synergies. First, to deal with partially observed states available to musculoskeletal robots, a memory and attention-based network architecture is proposed for inferring more sufficient and intrinsic states. Second, inspired by muscle synergy hypothesis in neuroscience, prior knowledge of a musculoskeletal robot’s muscle synergies is embedded in network structure and reward shaping.

Based on systematic validation, it is found that the proposed method demonstrates superiority over the traditional twin delayed deep deterministic policy gradients (TD3) algorithm. A musculoskeletal robot with highly redundant, nonlinear muscles is adopted to implement goal-directed tasks. In the case of 21-dimensional states, the learning efficiency and accuracy are significantly improved compared with the traditional TD3 algorithm; in the case of 13-dimensional states without velocities and information from the end effector, the traditional TD3 is unable to complete the reaching tasks, while the proposed method breaks through this bottleneck problem.

In this paper, a novel memory and attention-based reinforcement learning method with prior knowledge of muscle synergies is proposed for musculoskeletal robots to deal with partially observable scenarios. Compared with the existing methods, the proposed method effectively improves the performance. Furthermore, this paper promotes the fusion of neuroscience and robotics.

The purpose of this paper is to explore a novel breast volume measuring method by mesh projection based on three-dimensional (3D) point cloud data.

Mesh projection method, a rapid and accurate method to calculate the volume of models described by triangular meshes, was transplanted to calculate breast volume based on 3D point cloud data derived from a [TC]2 3D scanner. A simple landmarking procedure was developed to decide breast boundary. Breast volumes derived from mesh projection method were compared to the results of water displacement by statistical analysis to validate its accuracy.

A novel breast volume measurement method is developed based on mesh projection method. By comparison of water displacement, mesh projection method is proved to be accurate to calculate breast volume. Furthermore, a simple and standard breast boundary landmarking procedure is established, which avoids the arbitrariness of the definition of breast boundary and improves the repetition of landmarking.

A simple and convenient tool is provided for bra industries to rapidly and accurately measure breast volume.

Mesh projection method is primarily applied to determine breast volume based on 3D point cloud data. Meanwhile, a simple and standard breast boundary landmarking procedure is put forward.

In order to encourage the high-water-consumption (HWC) manufacturers to carry out water-saving transformation relying on self-strength or outsourcing to a water-saving service company (WSSC) during production processes, government subsidies are provided according to water-saving efforts (WSE) or investment cost. In this context, the authors derive the participant's equilibrium decisions and the manufacturer's water-saving strategy. Additionally, the effects of subsidies on WSE and stakeholders' profits are discussed.

Mathematical models including optimization model and Stackelberg game model are constructed under different subsidy schemes.

The study finds that (1) there exists a threshold related to the subsidy coefficient for the HWC manufacturer when choosing between self-saving and outsourcing-saving. (2) When the technological competitive advantage between WSSC and manufacturer is within a certain range, government's subsidy promotes HWC enterprises to choose outsourcing-saving. (3) Given a water-saving mode, subsidy on investment cost is more effective for the government to achieve more environmental performance.

First, subsidy endogeneity can be considered to explore the optimal interval for government subsidies to maximize social welfare. Second, in outsourcing-saving, other types of contract can be discussed. Another extension is about model uncertainties. Finally, other policies on improving water efficiency can be also examined.

The paper includes implication for HWC manufacturers to select the best water-saving mode under subsidy, and it allows policymakers to understand the efficiency of proposed subsidies.

Decisions on water-saving efforts, selection of water-saving modes and operational planning are also regarded as business strategies in the paper. Particularly, the influences of different government subsidies are also considered and compared.