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This paper examines the interrelationships among debt policy, dividend policy, and ownership structure using a simultaneous equation framework. Our approach allows us to test both the convergence of interests theory and entrenchment theory. Using a sample of publicly traded South Korean manufacturing firms, we find that debt policy and ownership structure have a positive impact on dividend policy. We also find that both debt and dividend policy are positively related to ownership structure. Our findings support both the theory of convergence of interests between management and ownership and entrenchment theory, and also explain why many studies have found conflicting results.

The purpose of this paper is to reveal the mechanism of nitrite (NO_2⁻) for the surface passivation of carbon steels in acidic environments through investigating the influences of 0.01 mol/L NaNO₂ addition on the corrosion and passivation behaviors of Q235 carbon steel in acidic phosphate buffer (APB) solutions (pH 2 to 6).

The electrochemical techniques including open circle potential evolution, potentiodynamic polarization, electrochemical impedance spectroscopy and cyclic voltammetry were applied.

In APB solutions without NO_2⁻, the Q235 steel presented the electrochemical behaviors of activation (A), activation-passivation-transpassivation and self-passivation-transpassivation at pH 2 to 4, pH 5 and pH 6, respectively; the corrosion rate decreased with the up of pH value, and the surface passivation occurred in the pH 5 and pH 6 solutions only: the anodic passivation at pH 5 and the spontaneous passivation at pH 6.

In APB solutions without NO_2⁻, the corrosion rate decreased with the up of pH value, and the surface passivation occurred in the pH 5 and pH 6 solutions only: the anodic passivation at pH 5 and the spontaneous passivation at pH 6. With the addition of 0.01 mol/L NaNO₂, into APB solutions, the variation of corrosion rate showed the same rule, but the surface passivation occurred over the whole acidic pH range, including the anodic passivation at pH 2 to 4 and the spontaneous passivation at pH 5 to 6.

The studies focusing on inbound logistics in the automobile industry have been limited because of the relatively small portion of logistics cost. But now it is recognized as one of the critical factors for efficient execution of supply chain management (SCM). The survey of suppliers in the automobile industry conducted in this study indicated significant relationships among logistics performance, logistics outsourcing, and performance evaluation level. This research is three-fold. First, current status of part supplier's logistics was analyzed by interviews with inbound logistics providers and suppliers. Second, management type of logistics was analyzed. There were three kinds of logistics -two kinds of logistics outsourcing and direct control by the supplier. Each type of logistics management showed differences about performance. Third, logistics performance evaluation and its relation with the actual logistics performance were presented. Comparable performance evaluation factors were selected, and it is shown that they had a correlation with actual performance.

A cross-domain intelligent software-defined network (SDN) routing method based on a proposed multiagent deep reinforcement learning (MDRL) method is developed.

First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between the root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to acquire global network state information in real time. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a network traffic state prediction mechanism is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time.

Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and open shortest path first (OSPF) routing methods.

Message transmission and message synchronization for multicontroller interdomain routing in SDN have long adaptation times and slow convergence speeds, coupled with the shortcomings of traditional interdomain routing methods, such as cumbersome configuration and inflexible acquisition of network state information. These drawbacks make it difficult to obtain global state information about the network, and the optimal routing decision cannot be made in real time, affecting network performance. This paper proposes a cross-domain intelligent SDN routing method based on a proposed MDRL method. First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to realize the real-time acquisition of global network state information. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a prediction mechanism for the network traffic state is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time. Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and OSPF routing methods.

Zhong-yong thinking is a code of conduct of the Chinese people. The purpose of this study is to explore the relationship among Zhong-yong thinking, social capital, knowledge sharing behavior, and employee survival ability.

Zhong-yong thinking including multi-thinking, integration and harmony, taking a case study of private enterprise in Guangxi of China. Based on the literature, the establishment of the theoretical model and hierarchical regression analysis are explored.

The multi-thinking, integration and harmony of Zhong-yong thinking have a significant positive effect on social capital and employee survival ability. In addition, employee survival ability is positively affected by social capital. Moreover, knowledge sharing behavior has a positive moderating between the multi-thinking dimension of Zhong-yong thinking and social capital, and the remaining dimensions have no moderating effect. Knowledge sharing behavior has no moderating effect on the relationship between social capital and employee survival ability.

Zhong-yong thinking and social capital are actively affecting employee survival ability. Therefore, companies need to work harder to improve their employees' Zhong-yong thinking and social capital.

The paper extends Zhong-yong thinking, social capital and employee survival ability literature to fill gaps in how China people require to both access employee survival ability. The policy value of the work is in suggesting ways to facilitate employee survival ability of China.

Logistical facility location decisions can make a crucial difference in the success or failure of a company. Geographical Information Systems (GIS) have recently become a very popular decision support system to help deal with facility location problems. However, until recently, GIS methodologies have not been fully embraced as a way to deal with new facility location problems in business logistics. This research makes a framework for categorizing empirical facility location problems based on the intensity of the involvement of GIS methodologies in decision making. This framework was built by analyzing facility location models and GIS methodologies. The research results revealed the depth of the embracement of GIS methodologies in logistics for determining new facility location decisions. In the new facility location decisions, spatial data inputs are almost always coupled with the visualization of the problems and solutions. However, the usage of GIS capability solely (i.e. suitability analysis) for problem solving has not been embraced at the same level. In most cases, the suitability analysis is used together with special optimization models for choosing among the multiple alternatives.

This paper employs the concept of supply chain orientation in container port management and empirically tests whether the measurement models proposed in some notable previous research have universal application. In addition, this study attempts to identify any significant causal relationships between port supply chain orientation and port performance from the view point of shipping companies. In the current study port supply chain orientation was found to have limited effect on customer satisfaction and port competitiveness, which might has been caused by some implemental and practical issues. However, the present study reveals the potential importance of port supply chain management by empirically demonstrating that “closer relationship with shipping lines” and “innovative value added service” could function as critical components for container ports/terminals to improve customer satisfaction and enhance their competitiveness.

Smart-work has been attracting more attention since the COVID-19 outbreak hit the world in 2020. Smart-working practices do not always run smoothly despite the necessary infrastructure being in place. Taking the quality-value-loyalty chain and information system continuance model as the basis, this study aims to identify how “smart-work support service” leads to employees’ continuance intention toward smart-work. In this study, the smart-work support service refers to the infrastructure making smart-work possible and services needed to support smart-work.

Using data collected from a survey of 406 employees working in Korea, this study verifies the components of smart-work support service quality and dimensions of perceived value through partial least squares analysis and then tests the proposed conceptual model using structural equation modeling.

The results verified that the quality of smart-work support service consists of eight attributes while dividing the perceived value of smart-work into three dimensions and further revealed that the service quality influences the intention to continue smart-working by way of perceived value and satisfaction.

This study sought to explore the relationship among service quality, perceived value and satisfaction by clearly conceptualizing and measuring them in the context of smart-work, thereby ultimately understanding the impact they have on the intention to continue smart-work.

Drawing upon the stimulus–organism–response (S-O-R) model, the purpose of this study is to examine how perceptions of young customers towards the green image of trendy coffee cafés affect their environmental and product attitudes, and subsequently their citizenship behaviour as well as intention to re-patronage. The mediating effect of customer citizenship behaviour (CCB) is also assessed.

The instrument was developed by adapting measurement from the past studies. Using the purposive sampling technique, data were collected online from 207 young customers in Malaysia who frequented the cafés. Partial least squares structural equation modelling (PLS-SEM) was used to perform path modelling and mediation analyses.

The findings show that green image stimulates both customers’ environmental attitude and product attitude. Although product attitude is found to have a dominant effect on CCB, the impact of environmental attitude on CCB and re-patronage intention is worth noting. Moreover, advocacy and tolerance significantly mediate the relationship between product attitude and re-patronage intention.

This study advances the consumer behaviour literature by determining the influence of green image on two forms of attitudes as well as the mediating role of the multi-dimensional CCB between attitudes and intention to re-patronage trendy coffee cafés among young customers. While the findings confirm the importance of product attitude and the relevance of advocacy and tolerance in relation to re-patronage, the study also highlights the growing awareness of green image among young customers and its implications on knowledge and practice.