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Digital technologies (DTs) are one of the most important and beneficial ways to enhance the effectiveness of supply chain finance activities. Based on resource orchestration theory, the purpose of this study is to apply the “resources-capability-performance” framework to investigate how DT deployment (in terms of both breadth and depth) impacts supply chain financing performance (SCFP).

Hierarchical regression analysis was applied in the theoretical modeling examination. Through the sample of 380 survey questionnaires from the Chinese manufacturing industry, this study empirically validated the proposed model.

Results of this study present that both the breadth and depth of DT deployment positively impact SCFP, whereas supply chain transparency (SCT) acts as a mediator between them. Moreover, financing alignment positively moderates the relationship between the breadth of DT deployment and SCT.

From an integrated perspective, this study highlights the dual deployment ways of DTs to improve SCFP. Moreover, this research further enriches and extends the application of resource orchestration theory by providing theoretical mechanisms for the mediating role of SCT and elucidating the moderating role of financing alignment.

This paper aims to propose and verify an improved cascade active disturbance rejection control (ADRC) scheme based on output redefinition for hypersonic vehicles (HSVs) with nonminimum phase characteristic and model uncertainties.

To handle the nonminimum phase characteristic, a tuning factor stabilizing internal dynamics is introduced to redefine the system output states; its effective range is determined by analyzing Byrnes–Isidori normalized form of the redefined system. The extended state observers (ESOs) are used to estimate the uncertainties, which include matched and mismatched items in the system. The controller compensates observations in real time and appends integral terms to improve robustness against the estimation errors of ESOs.

Theoretical and simulation results show that the stability of internal dynamics is guaranteed by the tuning factor and the tracking errors of external commands are globally asymptotically stable.

The control scheme in this paper is expected to generate a reliable way for dealing with nonminimum phase characteristic and model uncertainties of HSVs.

In the framework of ADRC, a concise form of redefined outputs is proposed, in which the tuning factor performs a decisive role in stabilizing the internal dynamics of HSVs. By introducing an integral term into the cascade ADRC scheme, the compensation accuracy of matched and mismatched disturbances is improved.

Despite being a significant public health problem, teen dating violence and related risk behaviors are yet to be examined in Nicaragua. This study aims to examine the prevalence of in-person dating violence and cyber dating abuse and to test the associations between teen dating violence and substance use (i.e. alcohol, cigarette, marijuana and e-cigarette) as well as externalizing behaviors.

Survey responses were collected from a school-based sample of 1,799 Nicaraguan early adolescents (average age = 13.04 years).

The prevalence was 41% for in-person dating violence victimization, 39% for in-person dating violence perpetration, 30% for cyber dating abuse victimization and 26% for cyber dating abuse perpetration. The majority (56%) of the adolescents reported engagement in externalizing behaviors, but substance use prevalence was relatively low, ranging from 1–9% depending on the substance type. Multivariate regression analyses suggest that in-person dating violence perpetration was positively associated with all types of substance use and externalizing behaviors, while victimization was only associated with externalizing behaviors.

Despite the descriptive nature, the study is the first to examine the prevalence of teen dating violence and its relationships with other risk behaviors in Nicaraguan adolescents and have important health implications.

Communication plays an important role in health decisions and behaviors. Friends and family exert influence through communication and, when considering smoking, this is particularly salient among those friends and family who smoke. Guided by primary socialization theory and integrated behavioral model, the present study examined the effects of having smoking friends and family on smoking beliefs (e.g. negative consequences, positive reinforcement and negative reinforcement), cultural normative beliefs, pro-smoking injunctive norms, smoking intentions and recent smoking behaviors.

Cross-sectional online survey data were collected from college students (N = 227). Multivariate analysis of covariance and path analysis were performed.

College students who reported having smoking friends were more likely to report higher levels of positive reinforcement, cultural normative beliefs, pro-smoking injunctive norms, positive attitudes, smoking intentions and recent smoking behaviors than those without smoking friends. Frequent communication with smoking friends was significantly related to cultural normative beliefs, pro-smoking injunctive norms, positive attitudes and smoking intentions. The analysis, however, did not yield statistical support for the associations between frequent communication with smoking family and smoking perceptions, norms and behaviors.

The present study highlights the vital roles of friends' influence for college students' smoking behaviors. Communication-based intervention can help better equip college students with communication strategies that prevent tobacco use by promoting more effective conversations with friends.

In this paper, Yale model was adopted to understand how the characteristics of a green message (goal framing, argument volume and argument consistency), its source (source credibility) and its receivers (environmental consciousness) influence the communication process regarding the receivers' perceptions and attitudes (information value, persuasiveness and communication effectiveness) and their intention to spread the green message.

Eight scenarios of factorial design were developed to test the effects of a message on receivers' perceptions and attitudes. 1,157 valid questionnaires were used to conduct AMOS-SEM and ANOVA analyses.

The analytical results showed significant differences between the persuasive effects of Scenarios 1 and 8. A high level of environmental consciousness significantly affected the relationships between the message characteristics, source credibility and information value, leading to a higher intention to share the green messages.

The Yale model was applied to online persuasion to examine the receivers' perceptions of and attitudes toward a green message and their intention to share it on social networking sites (SNSs). Being environmentally conscious can strengthen the perception that the receivers of an online green message have of the source credibility and information value. The Yale model proved to represent the online green message-sharing context and explain how to persuade online users more effectively.

This study suggests that green message providers should present content emphasizing the losses associated with inaction, thus increasing the receivers' acceptance of the message's persuasiveness. Additionally, with the assistance of supportive measures, such as national education programs, government policies and actions showing corporate social responsibility, the environmental awareness of individuals can encourage them to share green message posts on SNSs and engage in green practices.

A significant effect of the message characteristics (goal framing × argument volume × argument consistency) was observed on SNS users' perceived source credibility and information value. Therefore, key opinion leaders, governments, and organizations who want to promote green ideas and attract public attention are encouraged to provide messages emphasizing the costs of inaction and contain arguments with a sufficient number of responses strongly supporting the original message. This could arouse the concern for green issues among online communities.

A Yale model research framework was developed to investigate the effect of message characteristics on the intention to share green messages online. Receivers' environmental consciousness played a vital role in this message-sharing process.

The purpose of this paper is to explore how sales compensation disclosure, salespeople’s perception of corporate social responsibility (CSR) toward customers (i.e. customer-focused CSR), regulatory knowledge and coworkers’ ethical behavior may influence life insurance salespeople’s moral intensity and intentions to engage in misleading sales behaviors.

The hypotheses are analyzed using partial least squares (PLS) regression with the data gathered from full-time life insurance salespeople in Taiwan.

The main findings indicate that disclosing sales compensations will alter the ethical decision-making process of life insurance salespeople. The findings further point out that customer-focused CSR is an important variable affecting moral intensity and ethical intentions.

There has not been any research on the effects of compensation disclosure on moral intensity and misleading sales behavior. The literature gap has led to a poor understanding of the relationship between the compensation disclosure policy and ethical sales behavior. Moreover, previous studies indicate that specific factors (such as moral intensity and ethical intention) are directly associated, while the research shows that as long as a regulatory policy (e.g. the policy of compensation disclosure) changes, the correlation between these variables may shift from significant to nonsignificant (or vice versa). The results are interesting enough to warrant more research, and they also show that the direct link between variables mentioned in previous research is not always stable or universal.

The current study identifies successes and limitations of sustaining Dale se Real (DsR) as a school-based educational intervention program related to drugs and violence for 7th and 8th grade students in Nicaragua, Central America. As evidence-based interventions are transported and imported across national borders, issues surrounding their adaptation and sustainability become important targets for investigation.

Interviews were conducted with nine key informants (e.g. school directors, implementers) from seven institutions, four of which sustained DsR and three of which did not. This study explores DsR's fit with the institutions' missions and routines, program adaptability, broader community support and sustainability planning.

Findings demonstrate two emerging views of sustainability within the Nicaraguan schools: a deficit approach and an empowerment approach. These two approaches imply different motivational structures for institutions and also led to the practical finding that developers and trainers need to provide structured or formal ways of empowering schools to continue implementing a program after staff no longer routinely contact them.

This study contributes a particular case on what facilitates and impedes sustainability of school-based interventions that can inform future intervention research in Latin American countries.

The purpose of this paper is to present a K-band modified hairpin bandpass filter on a planar circuit with harmonic suppression and compact size.

The inter-connect transmission lines of conventional hairpin filter are replayed by T-shaped open stub to achieve transmission zero for second harmonic. This filter is simulated and optimized by using electromagnetic simulation software and tested on-chip.

This proposed filter shows the return loss of better than −10dB, the insertion loss of better than 2 dB in pass-band and suppression of more than 40 dB at second harmonic.

The proposed filter can be designed on monolithic microwave integrated circuit, PCB or LTCC and it is useable for microwave and microwave and millimeter-wave systems.

The purpose of this paper is to formulate and solve a last-mile distribution plan problem with concern for the quality of fruits and vegetables in cold chains.

The vehicle routing problem with time windows (VRPTW) is extended based on the characteristics of fruit-and-vegetable cold chains. The properties of multiple perishable foods, continuing decline in quality, various requirements for quality levels and optimal temperature settings during vehicle transportation are considered in the VRPTW. The product quality level is defined by the estimation of residual shelf life, which changes with temperature, and is characterized by a stepped decrease during the transportation process as time goes on. A genetic algorithm (GA) is adapted to solve the problem because of its convincing ability to solve VRPTW-related problems. For this purpose, solution encoding, a fitness function and evolution operators are designed to deal with the complicated problem herein.

A distribution plan including required fleet size, vehicle routing sequence and what quality level should be shipped out to account for the quality degradation during vehicle transportation is generated. The results indicate that the fulfillment of various requirements of different customers for various fruits and vegetables and quality levels can be ensured with cost considerations.

This study presents a problem for last-mile delivery of fresh fruits and vegetables which considers multiple practical scenarios not studied previously. A solution algorithm based on a GA is developed to address this problem. The proposed model is easily applied to other types of perishable products.

This paper aims to address the spacecraft attitude regulation problem in the presence of extrinsic disturbances and actuator faults.

Based on adaptive backstepping design technique, a new concise adaptive dual-mode control scheme is proposed, which can either use the fault information detected by fault diagnosis mechanisms or switch to the fault-unknown mode when the fault diagnosis information is non-existent for control signal generation. These two modes share an adaptive mechanism that reduces the complexity of the algorithm.

The new fault-tolerant attitude control algorithm can accommodate both modes with and without fault diagnosis mechanisms.

The proposed algorithm in this paper can be applied to both cases when the attitude control system is equipped with or without fault diagnosis capability. This also enhances the robustness of attitude control algorithm. This study performs numerical simulations and verifies that the algorithm could effectively adapt to both modes.