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The purpose of this paper is to investigate the impact of Crime Prevention Through Environmental Design (CPTED), a crime prevention tool, on reducing rates of sexual assault. In addition, the study attempts to understand if CPTED results in crime displacement in non-target areas.

This research utilizes a Weighted Displacement Quotient (WDQ) model to analyze the effects of CPTED, which is an appropriate tool in fields of regional-scale crime prevention and on sexual assault prevention. WDQ is capable of analyzing policy effectiveness while controlling for geographical crime displacement, a known side effect of CPTED in the literature.

The analysis results show that CPTED is an effective tool to prevent sexual assaults in South Korea. The sexual assault occurrence rate decreased in the CPTED implementation zone of Yeomri-dong Mapo-gu. WDQ showed that crime displacement occurred in adjacent areas in Daeheung-dong and Ahyun-dong. But, crime displacement was lower than the policy effectiveness in the target zone.

The policy implications of this research are immense. First, CPTED for the prevention of sexual assaults should be considered as a pre-control tool. Second, a strategic method for more effectively implementing CPTED is required. Third, because CPTED is a policy done on a regional scale, provisions need to be in place to manage crime displacement.

The purpose of this paper is to explain why Vietnam has been charged as a currency manipulator by the USA, and why those charges are less than conclusive, as of May 2021, no immediate tariffs were imposed.

A comparative approach is applied using economic data on trade balances, inflation, exchange rates, and foreign exchange reserves from Vietnam, other Asian nations, and the USA. Currency regime theories are briefly reviewed, and USA. Treasury statements about Vietnam’s currency are referred to, which then are analyzed. Further explanations are based on the context of the economic situation and bilateral relations.

Since 2010, Vietnam’s currency has appreciated, and since 2015, the government has kept the Vietnamese dong (VND) stable in real terms against the dollar. The sharp improvement in Vietnam’s bilateral and overall trade balance is due largely to rising labor costs in China and trade frictions between the USA and China. The resulting US tariffs on China’s exports redirected Foreign Direct Investment (FDI) exports to Vietnam. Even with these recent trade surpluses, Vietnam’s ratio of foreign exchange reserves to imports is lower than that of many other Asian nations. The USA’s recent decision not to impose punitive tariffs on Vietnam’s exports but continue to monitor and hold discussions reflects the reduced priority the new US administration puts on bilateral trade balances and the recognition that Vietnam is negotiating seriously and has significant value in a regional context.

The paper provides a comprehensive understanding from both theoretical and practical perspectives of the recent event. The implications are meaningful for the adjustment of national monetary strategy to avoid a similar situation in the future.

This paper considers locating congested fast charging stations (FCSs) and deploying chargers in a stochastic environment, while the related studies have predominantly focused on problems in deterministic environments. Reducing the inconvenience caused by congestion at FCSs is an important challenge for FCS service provider. This is the underlying motivation for this study to consider a problem for FCS network design with the congestion restriction in a stochastic environment. We proposed a maximal coverage problem subject to budget constraints and a congestion restriction in order to maximize the demand coverage. With the derivation of the congestion restriction in the considered stochastic environment, the problem is formulated into an integer programming model. A real-life case study is conducted and managerial implications are drawn from its results.

This paper aims to explore the effects of normative and hedonic motivations on continuous knowledge contribution, and how past contribution experience moderates the effects of the motivations on continuous knowledge contribution.

Based on goal-framing theory, the present study proposes a comprehensive theoretical model by integrating normative and hedonic motivations, past contribution experience and continuous knowledge contribution. The data for virtual community members' activities were collected using the Python Scrapy crawler. Logit regression was used to validate the integrative model.

The results show that both normative motivation (reflected by generalized reciprocity and social learning) and hedonic motivation (reflected by peer recognition and online attractiveness) are positively associated with continuous knowledge contribution. Moreover, these effects are found to be significantly influenced by members' past knowledge contribution experience. Specifically, the results suggest that past knowledge contribution experience undermines the influence of generalized reciprocity on continuous knowledge contribution but strengthens the effect of peer recognition and online attractiveness.

Although the emerging literature on continuous knowledge contribution mainly focuses on motivations as antecedents that promote continuous knowledge contribution, most of these studies assume that the relationship between motivating mechanisms and continuous knowledge contribution does not change over time. The study is one of the initial studies to examine whether and how the influence of multiple motivations evolves relative to levels of past contribution experience.

The effect of tax policy on the repatriation of foreign earnings is a topic of ongoing discussion among policymakers, academics, and the popular press. It has become more salient due to the 2017 Tax Cuts and Jobs Act (TCJA), which permanently removed repatriation tax. This paper synthesizes the academic literature examining US multinational firms’ responses to the repatriation tax holiday initiated by the 2004 American Jobs Creation Act (AJCA), which temporarily reduced the tax on the repatriation of foreign earnings. By synthesizing firm responses to the temporary tax reduction, we identify similarities and differences in: (1) theories about why and when repatriation tax affects firms’ repatriation decisions; (2) empirical evidence of whether repatriation tax affects firms’ repatriation decisions; and (3) empirical evidence of whether repatriation tax affects firms’ investment decisions. The analyses provide insights into the effect of the permanent removal of repatriation tax under the TCJA and explore avenues for future research. This synthesis of the AJCA literature informs tax research and practice as well as policymaking.

The purpose of this paper is to report an exploratory study based on the Chinese user technology acceptance model (CUTAM), by testing CUTAM and developing a model to predict user acceptance of information technology innovations in the remote areas of China.

By collecting the data from a survey in Hainan province, the paper is able to empirically examine the explanative power of CUTAM in the remote context of China. The author further developed a new model for user acceptance in the remote areas of China, based on analysis discussion on the empirical results from a perspective of computer self‐efficacy across regions. The model fit was examined and it was found that the new model is better than CUTAM to fit the data from remote areas of China.

Perceived usefulness, result demonstrability and facilitating condition were found to be salient behavioral beliefs determining behavior intention of Chinese users of information technology innovations in the remote areas. The effects of perceived usefulness and results demonstrability on behavioral intention were mediated by attitude toward behavior. Facilitating condition was found to be the most important determinant of user acceptance in remote areas of China, which directly affected behavioral intention.

The paper contributes an insight of individual‐level technology adoption and innovation diffusion in the remote areas of China, which has been paid little attention to in prior literature. Solid empirical evidence is provided to validate a model for Chinese user acceptance in the remote areas of China, based on the development of the theory of CUTAM.

Empty container repositioning is an important issue in the liner shipping industry. Generally stated, two groups of mathematical models have been proposed to tackle this issue. The first group aims to derive time‐dependent origin‐destination matrices that specify the number of empty containers to be repositioned at a decision epoch; the second group aims to develop effective state‐feedback control policies consisting of dynamic decision‐making rules. There is, however, a lack of research into the comparison of these two groups, especially with regard to realistic cases subject to uncertainties. The purpose of this paper is to evaluate and compare the performances of some typical repositioning policies from these two groups and to shed light on their relative merits and suitability in various realistic scenarios.

Based on a literature review, the paper classifies the current empty container repositioning policies into two categories: origin‐destination (OD) based solutions and state‐based dynamic rules. Typical policies are selected from these two categories and then evaluated using a simulation tool. A range of scenarios are designed based on realistic cases considering the stochastic and dynamic nature of liner services. A comprehensive set of simulation experiments are conducted and analysed; and the relative merits and suitability of the repositioning policies are identified.

Through a carefully designed comparative study, several research findings are obtained with regard to how the performances of different types of empty container repositioning policies are affected by various factors such as structure of service route, uncertainty of daily demands, and parametric optimisation methods.

The study makes a good attempt to analyse the suitability of different empty container repositioning policies in different scenarios. This is an area that has lacked investigation. The research findings can help shipping companies and other relevant stakeholders better understand the relative merits of different empty container repositioning policies and better tackle the challenges in operating the container shipping system.

Although supplier-initiated punishment is widely used to manage distributors’ opportunism, its spillover effect on unpunished distributors (i.e. observers) within the same distribution network remains under-researched. Specifically, this paper aims to investigate the curvilinear effect of punishment severity on an observer’s opportunism, and how such an effect is contingent on the observer’s network position.

This paper uses regression analysis with survey data gathered from 218 distributors in China’s automobile industry.

Punishment severity has an inverted U-shaped effect on the observers’ opportunism, and such effect is weakened by both the observers’ network centrality and their degree of dependence on the supplier.

The findings should encourage suppliers to focus more on the spillover effects of punishment on observers. To this end, the supplier must deliberately initiate the appropriate level of punishment severity against its distributors because an inappropriate level of punishment severity (e.g. too lenient) may unexpectedly raise the unpunished observers’ level of opportunism. Moreover, the supplier should be fully aware that observers’ specific network positions may produce varying spillover effects of the punishment.

This study enriches the literature on channel governance by revealing the curvilinear mechanism through which punishment severity influences observers’ opportunism. By applying social learning theory to channel punishment research, this study unveils both the inhibitive learning and the imitative learning forces inherent in a single punishment event, and it delineates their joint effect on an observer’s opportunism. In addition, this study outlines the observer’s vertical and horizontal relationships within the distribution network and explores their contingent roles in determining the spillover effects of punishment.

The optimal level of customer participation is an important factor in service design. However, researchers know little about the impact of customer participation for their willingness to pay and hence organizations’ financial outcomes. This paper examines the impact of customer participation in a pay-what-you-want (PWYW) pricing system, allowing customers to pay any price they want for a product or service.

This paper reports the results of three experiments, in which the authors manipulated the level of customer participation (Study 1: Low versus high, Study 2: Medium versus high, Study 3: Low versus medium versus high) and measured customers' PWYW payments (Studies 1–3), customer satisfaction (Studies 1–3), perceived equity (Study 3) and perceived enjoyment (Study 3). Studies 1 and 3 were scenario-based experiments, while study 2 was a field experiment. Study 3 was preregistered.

The results support a direct effect of customer participation in service production on customer PWYW payments, yet only when comparing low to high levels of customer participation. High levels of customer participation lead to a decrease in perceived equity and an increase in perceived enjoyment, which in turn spilled over to customer PWYW payments through customer satisfaction.

This research provides causal evidence at the individual level of analysis for the relationship between customer participation in service production and financial results. The paper also provides insights into its underlying mechanisms.

Although manufacturer-initiated rewards are widely used to secure distributors’ compliance, the spillover effect on unrewarded distributors (i.e. observers) in the same distribution channel is under-researched. Using insights from social learning theory, this paper aims to investigate how manufacturer-initiated rewards affect observers’ expectation of reward and shape observers’ compliance toward the manufacturer. Furthermore, this paper explores how such effects are contingent upon distributor relationship features.

To test the hypotheses, hierarchical multiple regression and bootstrapping analyses were performed using survey data from 280 Chinese distributors.

The magnitude of a manufacturer-initiated reward to a distributor stimulates expectation of reward among observers, which enhances compliance; observers’ expectation of reward mediates the impact of reward magnitude on compliance. Moreover, network centrality (of the rewarded peer) negatively moderates the positive impact of reward magnitude on observers’ expectation of reward, whereas observers’ dependence (on the manufacturer) positively moderates this dynamic.

Manufacturers should pay attention to the spillover effects of rewards. Overall, they should use rewards of appropriate magnitude to show willingness to recognize outstanding distributors. This will inspire unrewarded distributors, which will then be more compliant. Furthermore, manufacturers should know that specific types of distributor relationship features may significantly vary the spillover effects.

This study illuminates the spillover effects of manufacturer-initiated reward by opening the “black box” of the link between reward magnitude and observers’ compliance and by specifying the effects’ boundary conditions.