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This paper tests two moving average technical trading rules for four Asian markets. Our results indicate that moving average rules do indeed have predictive power and can discern recurring price patterns for profitable trading. Moreover, our results support the hypothesis that technical trading rules can outperform the buy‐and‐hold strategy. Break‐even one‐way trading costs are estimated to be high for all four markets. To confirm the test outcome, robust tests based on bootstrap and the related t‐tests among the markets are also carried out. We conclude from the statistical results that moving average rules are valid and indeed have predictive power. It is implied that the trading rules may be used to design a trading strategy that will beat the buy‐and‐hold strategy in the Hong Kong, Singapore, South Korea, and Taiwan markets. The contribution of the current study is that this is the first validation test of trading rules using four markets at a similar development stage and culture tradition; and in the tests, we use most current and longer periods than the periods used in previous literature. Our robust tests are unique and considered distribution‐free.

This study aims to explain the internationalization speed of e‐commerce companies (ECCs).

Based on the archive data of the American ECCs, the study used multiple regression analysis to estimate the influences of a number of micro‐ and macro‐factors.

The results show that the speedy foreign market entry by ECCs was positively influenced by top management team's international experience, and innovative and marketing capabilities.

The study did not deal with the entry mode of ECCs inviting more future research efforts in this direction. Additionally, as established MNEs have integrated e‐commerce into existing business, future research can be devoted to examine the impact of this integration on the internationalization of firms.

Extant literature has addressed the internationalization of ECCs with a focus on the level of internationalization. This study contributes to the current literature by extending research on globalization of ECCs and incorporating both micro‐ and macro‐level factors affecting the speed of international expansion.

The purpose of this paper is to investigate the continued use behavior (CU) of link sharing tools based on uses and gratifications theory, the theory of planned behavior and expectation confirmation theory. It then builds a conceptual model that is empirically tested.

Data were collected from 343 students (undergraduates, masters, PhD students, and MBAs) from three Chinese universities via a two-phrase survey. The tools SPSS 18.0 and AMOS 18.0 were used to analyse the reliability, validity, model fits and SEM, respectively.

The results indicate that an individual’s CU of link sharing tools was determined by his or her continued use intention directly and subjective norm indirectly. Users’ satisfaction on link sharing tools was the main factor affecting the continuance intention. Individuals’ motivation needs such as cognitive needs, personal integrative needs, and social integrative needs were found to be the significant predictors of his or her satisfaction. Besides, people with high privacy concern tended to have less satisfaction with link sharing tools.

This study explores users’ CU of link sharing tools in social media for the first time. The theoretical model developed shows the predictors behind people’s CU.

The purpose of this study is to understand the impact mechanism of grassland transfer on herders' production behaviour in pastoral areas. The impact of grassland transfer on herders' livestock production and grazing intensity is quantified.

Using the survey data collected for 356 herder households from Inner Mongolia and Gansu, China, quantile regression is employed to assess the heterogeneous effects of grassland transfer on livestock production and grazing intensity. To correct the potential self-selection bias of grassland transfer, the propensity score matching technique is used.

Results show that labour, percentage of livestock income and livestock stock are the main factors affecting herders' choice to transfer grassland. The positive effect of grassland transfer on livestock numbers on behalf of those who rented additional grassland is statistically significant but declines with livestock numbers. The sustainability-enhancing effect of grassland transfer on grazing intensity is significant, and the effect becomes larger amongst herder households with higher grazing intensity. The analysis on the impact mechanism shows that grassland transfer significantly promotes the adoption of sustainable grazing modes, such as rotational and seasonal rest grazing, which in turn increases herders' livestock numbers and decreases grazing intensity.

Few studies have empirically analysed the influence of grassland transfer on livestock numbers and grazing intensity. This study fills this gap by employing a quantile regression to assess the heterogeneous effects of grassland transfer on livestock numbers and grazing intensity, while accounting for self-selection bias. In addition, the authors have examined the influencing mechanisms under which grassland transfer impacts on livestock numbers and grazing intensity.

The study examines the relationship between consumers’ ethical sensitivity, corporate social responsibility (CSR) practices and impulse behaviors. Ethical behavior has been a subject of increasing research interest. However, there is an imperious need to inspect ethical decision-making through holistic attention to impulse purchasing.

The study develops a set of hypotheses to understand the relationships. The online survey method was used to collect data, and 420 valid questionnaires, in total, were retrieved. In a two-step process, first, reliability and validity were initially measured. Second, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to test the hypotheses.

The analyses support the social marketing theory (SMT) and the general theory of marketing (GTM) ethics related to business strategy. Moreover, the study examines the mediating role of organizational trust, organizational identification and eco-branding in these relationships. The ethical and CSR practices for stakeholders positively affect organizational identification and trust that mediate the relationship between impulse buying and ethical attempts. Furthermore, from an ethical and climate change perspective, eco-branding positively mediates the relationship between impulse buying and environmental advertising. The moderating role of trust is significant in the relationship between impulse buying behavior (IBB) and repurchase behavior.

A critical factor explaining individuals’ behaviors has never been investigated using a holistic approach to IBB with ethical and CSR practices. The study profoundly contributes to knowledge about consumer ethics, with potential effects for ethical public relations, while also offering new research avenues for future exploration.

The purpose of this study is to find the relationships among the high- and new-technology enterprise (HNTE) identification policy, firm’s total factor productivity (TFP) and the marketization process by using data obtained from China manufacturing firms.

Propensity matching score – difference-in-difference modeling are used to investigate the relationships among the HNTE identification policy, firm’s TFP and the marketization process. In addition, the complex relations between policy and firm’s TFP, including in the proposed model, are assessed in detail through the mediation analysis.

The results show that the HNTE identification policy can promote firm’s TFP, but its effect depends on the marketization process. The transmission path of HNTE identification policy to promote enterprise productivity lies in the optimization of incentive mechanism, including the improvement of enterprise labor productivity, the reduction of income tax burden and cost and the reduction of financing constraints. In industries and regions with more effective market mechanism, as well as industries with more intense market competition, the productivity promotion effect of the HNTE identification policy is stronger. In industries and regions with low degree of marketization, as well as industries with low degree of market competition, the productivity promotion effect brought by the improvement of incentive mechanism is distorted, which actually inhibit the promotion of enterprises’ TFP.

The study confirms that the HNTE identification policy plays an important role in enhancing the TFP of China’s manufacturing firm. Policy makers can adopt industrial policy in the key industries and technology areas that are meaningful but market failure. Furthermore, it demonstrates that the effect of the HNTE identification policy largely depends on the marketization process. These finding imply that when formulating an industrial policy, the marketization process of the industry and region should be taken into account.

The paper analyzes the relationship among the HNTE identification policy, firm’s TFP and the marketization process. Panel data are used to discuss the mechanism of HNTE identification policy affecting firm’s TFP. The paper also reveals the effect of the marketization process on the effectiveness of the HNTE identification policy.

The purpose of this paper is to investigate farmers’ intentions to comply with pesticide application standards based on an extended theory of planned behaviour (TPB).

Built on a TPB framework, it was examined how perceived behavioural control (PBC), behavioural goal (BG), behavioural attitude (BA) and subjective norm (SN) influenced farmers’ intention to comply with pesticide application standards. Data of 986 farmers from five major agricultural provinces in China were collected following a stratified random sampling method. Structural equation modelling was employed for hypothesis testing and analysis.

The results showed that PBC, BG, behavioural attitude and SN had positive impacts on farmers’ intention in abiding by the standards. Among them in determining farmers’ intention towards compliance with pesticide application standards, farmers’ PBC was found to be the most influential factor, while SN was the least influential factor.

The results indicated that the traditional TPB constructs had significant correlations with farmers’ intention to comply with pesticide standards, demonstrating the applicability of the TPB in the understanding of farmers’ decision-making in a developing country context. It is suggested that psychological factors should be taken into consideration in studying farmers’ decision-making.

The purpose of this paper is to examine the interaction effect of innovative product category and presentation order on consumer consumer’s purchasing intention and the mediating role of perceived novelty and risk perception.

The authors examined the hypotheses in three experiment studies. In Study 1, the authors primed innovative product category and presentation order on consumer consumer’s purchasing intention. In Study 2, the authors measured the mediating role of perceived novelty and risk perception. In Study 3, they validated the moderating effect of picture and text consistency on the improvement of purchase preference.

The results reveal that RNP/INP and presentation order (from whole to part/from part to whole) could enhance consumers’ purchase intention and verify the mediating role of perceived novelty and risk perception, based on which a complete internal mechanism model is constructed. The third experiment shows the moderating effect of picture and text consistency on the improvement of purchase preference by matching the category and presentation order of innovative products.

Prior literature on the thinking mode of holistic and partial processing has been mostly applied to the cognitive field of reading and text labeling. In this study, using the holistic (local) processing thinking model and anchoring theory, eye movement experiments and situational experiments, the audience’s analysis framework of information processing mechanism is constructed. The unique phenomenon of product category and overall (local) presentation order coexisting in innovative product advertisement is considered comprehensively.

When bending a large diameter thin-walled tube, the thickn ess of outer side wall will reduce greatly, which leads to a decrease of structural strength of the tube. To solve this problem, this paper investigated the deformation principles of an eccentric tube in the rotary draw bending process, trying to find a way to reduce the wall thickness difference between inner and outer diameters.

An finite element model is established for analyzing the deformation of an eccentric tube in rotary draw bending process. The wall thickness distribution of the formed pipe was analyzed along the axis and diameter, respectively.

It is found that there exists an optimal eccentricity between the inner and outer circle center of the tube cross-section. If the eccentricity of the tube is chosen properly, it is possible to get a bent tube with equal thickness of inner and outer side walls. In addition, it is also found the optimal eccentricity on the cross-section can be influenced by bending radius, wall thickness, diameter and bending angle. The optimal eccentricity increases greatly with the decreasing of bending radius, the increase of outer diameter and the increase of wall thickness. The influence of bending angle on the optimal eccentricity can be divided into two situations. When the bending angle is small, the optimal eccentricity increases with the increase of bending angle. When the bending angle exceeds a certain value, the pipe enters a stable forming state. The optimal eccentricity of the stable forming region does not change with the bending angle.

Such a research is beneficial for reducing the thickness difference between inner and outer side walls in the rotary draw bending process.

Aiming at obtaining a high-quality global path for a mobile robot which works in complex environments, a modified particle swarm optimization (PSO) algorithm, named random-disturbance self-adaptive particle swarm optimization (RDSAPSO), is proposed in this paper.

A perturbed global updating mechanism is introduced to the global best position to avoid stagnation in RDSAPSO. Moreover, a new self-adaptive strategy is proposed to fine-tune the three control parameters in RDSAPSO to dynamically adjust the exploration and exploitation capabilities of RDSAPSO. Because the convergence of PSO is paramount and influences the quality of the generated path, this paper also analytically investigates the convergence of RDSAPSO and provides a convergence-guaranteed parameter selection principle for RDSAPSO. Finally, a RDSAPSO-based global path planning (GPP) method is developed, in which the feasibility-based rule is applied to handle the constraint of the problem.

In an attempt to validate the proposed method, it is compared against six state-of-the-art evolutionary methods under three different numerical simulations. The simulation results confirm that the proposed method is highly competitive in terms of the path optimality. Moreover, the computation time of the proposed method is comparable with those of the other compared methods.

Therefore, the proposed method can be considered as a vital alternative in the field of GPP.