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The number of smartphone users has increased with the maturity of mobile networks, which has not only led to a new lifestyle but has also facilitated the development of mobile application services. Smartphones are regarded as essential communication devices. Currently, diverse groups of people are considering using mobile payment services. Thus, the motives for using mobile payment as well as individual motives for continuing usage are of great research interest. The purpose of this paper is to examine the behavioral motivations underlying individual intentions to continue using mobile payment.

To explore the factors affecting the intention to use mobile payment services, this study constructed a theoretical framework based on cost-benefit theory that also considers social influences to form an integrated research model that explains the intentions of individuals to use mobile payment services. Online questionnaires were used to evaluate individuals with experience using mobile payment services. A total of 302 questionnaires were collected. Structural equation modeling was employed to assess the relationships among factors included in the research model.

Perceived value, social norms and social self-image played crucial roles in the intention to use mobile payment services. Furthermore, perceived benefits (relative advantage and service compatibility) and perceived costs (security risks and perceived fees) determined users’ perceived value. Social self-image positively affected users’ perceived value; in the context of a mobile-oriented information system, the ability of a mobile payment service to satisfy a user’s demands with respect to social self-image influenced the user’s perceived value of using such services.

This study contributes to a theoretical understanding of factors that explain users’ intention to use mobile payment services.

Container terminal operation is one of the most risky industries. Many of the accidents that occurred were found to be caused by human errors. However, it seems relatively little research has been conducted to examine the influence of leader-member exchange (LMX) relationship on employee safety behavior. Therefore, the purpose of this study is to examine the effects of leader-member exchange and safety climate on employees’ safety organizational citizenship behaviors (SOCB) in the container terminal context based on the social exchange theory.

A structural equation modeling was used with confirmatory factor analysis, and survey data are collected from 265 employees in major container terminals in Taiwan.

Results indicated that LMX is positively associated with safety climate, whereas safety climate positively influences employees’ safety citizenship behavior. Specifically, results indicated that safety climate mediates the effect of LMX on employees’ SOCB.

This study was limited to LMX dimensions adapted from the studies of Li and Liao (2014) and Vidyarthiv et al. (2014). Future research could examine the linkages between LMX, ethical climate, safety performance and supervisor leadership influence. Furthermore, this research focused specifically on employees from the container terminal operators in Taiwan. It would be valuable to collect data from employees from other countries to obtain a balanced view of the relationship between LMX, team-member exchange (TMX), safety climate and employee SOCB in container terminal operations.

This research provides a useful implication for container terminal operators to enhance LMX qualities and employee safety behavior through organizational participation, employee-helping behaviors and informing workers to obey safety rule and regulation.

Given the prevalence of accidents and unsafe behavior in container terminal operations, this research sought to examine the relationships among LMX, safety climate and employee SOCB in the container terminal context. Theoretically, this study highlights the importance of LMX and safety climate in explaining the SOCB of employees.

This paper examines the impact of residents’ human capital investment inequality on the urban–rural income gap, using China’s provincial panel data from 1997 to 2013. The results show that, at the national level as well as at the regional level, residents’ overall human capital investment inequality has a positive significant impact on the urban–rural income gap. In addition, the impact of overall human capital investment inequality increased monotonically from the eastern region inward to the western region. In terms of the relative impact of each component of human capital investment inequality on the urban–rural income gap, migration investment inequality appears to have the greatest impact at the national level, whereas health investment inequality has the greatest impact on the urban–rural income gap in the eastern region, and education investment inequality exhibits the greatest impact in the central and western regions. We also investigate the impact of human capital investment inequality on the urban–rural income gap over different periods. The results show that residents’ overall human capital investment inequality had a positive impact on the urban–rural income gap in the period 1997–2008, but the impact rapidly shrunk in 2009–2013. Furthermore, the impact of residents’ health investment inequality on the urban–rural income gap shows a downward trend, and the impact of residents’ education investment inequality trended slightly upward from 1997 to 2008, and then rapidly shrunk in 2009–2013. Finally, the impact of residents’ migration investment inequality was only significant in 1997–2002.

This study aims to propose a safety marketing stimuli-response model to explain passengers’ safety behavior in the ferry services context.

Structural equation modeling was conducted to examine the impact of safety marketing stimuli on passengers’ safety awareness and behavior by using data obtained from a survey of 316 ferry passengers in Hong Kong.

The authors found that passengers’ perceptions of ferry safety marketing stimuli positively affected their safety awareness and safety awareness positively affected passengers’ safety behaviors. Specifically, they found that safety awareness played a mediating role in the relationship between ferry safety marketing stimuli and passengers’ safety behaviors.

The empirically validated scales can be adapted to practices of safety marketing, while providing helpful information for ferry operators to evaluate their efforts of safety marketing and implications for improvement.

According to the authors' knowledge, this study is one of the first attempts to fill this research gap by empirically validating and theoretically conceptualizing measures of safety marketing stimuli based on the marketing stimulus-response model.

Drawing on the resource-based view (RBV), this study aims to investigate the impact of social capital, namely, structural (information sharing), cognitive (shared value) and relational (relationship commitment) capital in the supplier and the customer side on supply chain performance in a longitudinal design. It further aims to examine the moderating effect of change in competition intensity.

Based on two-wave data collected from 203 manufacturers in China, this study uses the ordinary least square and first-difference regression methods to test the proposed relationships.

The results show the effect of social capital on supply chain performance and the dynamic nature of supply chain social capital. The causal analysis further reveals the significance of supplier-side structural and relational capital in improving supply chain performance. Moreover, competitive intensity plays an important moderating role.

This study, to the best of the authors’ knowledge, is one of the first to demonstrate the longitudinal effect of supply chain social capital on supply chain performance.

The COVID-19 has become a global pandemic, which has caused large number of deaths and huge economic losses. These losses are not only caused by the virus but also by the related rumors. Nowadays, online social media are quite popular, where billions of people express their opinions and propagate information. Rumors about COVID-19 posted on online social media usually spread rapidly; it is hard to analyze and detect rumors only by artificial processing. The purpose of this paper is to propose a novel model called the Topic-Comment-based Rumor Detection model (TopCom) to detect rumors as soon as possible.

The authors conducted COVID-19 rumor detection from Sina Weibo, one of the most widely used Chinese online social media. The authors constructed a dataset about COVID-19 from January 1 to June 30, 2020 with a web crawler, including both rumor and non-rumors. The rumor detection task is regarded as a binary classification problem. The proposed TopCom model exploits the topical memory networks to fuse latent topic information with original microblogs, which solves the sparsity problems brought by short-text microblogs. In addition, TopCom fuses comments with corresponding microblogs to further improve the performance.

Experimental results on a publicly available dataset and the proposed COVID dataset have shown superiority and efficiency compared with baselines. The authors further randomly selected microblogs posted from July 1–31, 2020 for the case study, which also shows the effectiveness and application prospects for detecting rumors about COVID-19 automatically.

The originality of TopCom lies in the fusion of latent topic information of original microblogs and corresponding comments with DNNs-based models for the COVID-19 rumor detection task, whose value is to help detect rumors automatically in a short time.

Attracted by tremendous market opportunities of mobile business, many web services providers have started to expand their web services from traditional PC-based environment into the mobile-based environment. However, success in the web services cannot guarantee the success in the mobile services. The purpose of this paper is to identify factors that influence consumer evaluation and use of mobile shopping services in a web-mobile service extension context.

Based on categorization theory, this paper focusses on the role of integration and consistency between web and mobile services. A research model was created and empirically tested on data collected from 298 mobile shopping users in China.

The structural equation modeling analysis indicates that evaluation of source (web service quality) positively affect evaluation of target (perceived mobile service quality and flow in mobile services). The study also found that the relationships between source and target (perceived integration and perceived consistency) play an important role in determining evaluation of the target, which in turn shapes intention to use mobile services.

The survey is based on mobile shopping consumers. Caution is required in any effort to generalize the findings to other research contexts. Factors influencing a consumer's extension or adoption decisions in regard to different mobile services may not be the same, or the degree of influence may differ. Continued studies can test and compare our findings in different mobile services contexts.

The results of the findings provide specific methods for managing the process of web-mobile service extension. The results also indicate the importance of perceived consistency in shaping consumers’ evaluation of the extended mobile services in practical environments.

The present study extends the categorization theory to a multi-channel context and examines mobile services adoption from a cross-environment perspective. It considers evaluation of source, evaluation of target, and the relationships between source and target, which enriches the innovation adoption literature by providing a holistic insight into the evaluation and use of mobile services.

Many people feel a connection to their work that could best be described as a dependency, due to its intensity and importance to their overall self-concept. It is likely that psychological and social needs play a profound role in the connection people feel to their work; however, the explanatory power of these factors has been neglected in the literature, particularly with regard to cultural perspectives. The paper aims to discuss these issues.

To address this deficiency, the authors propose a profile multidimensional construct referred to as psycho-social work dependency, drawing on the Mandala model of self (Hwang, 2011b) and the Chinese composite self (Lu, 2003). The authors also developed a psychometrically sound 16-item questionnaire, the psycho-social work dependency scale, to measure this construct. A total of 1,314 valid questionnaires were obtained from employees in Taiwan to verify the reliability and validity of the instrument. Cross-validation was conducted using an independent sample of 278 valid questionnaires.

The results indicate good reliability and validity. What follows is a discussion of four types of psycho-social work dependency: strong, loose, direct, and indirect. Implications and suggestions for future research are also presented.

A cultural-inclusive construct-psycho-social work dependency was developed to best delineate the connections between Chinese employees and their work. This study expounded the definition, structure, measurement scale, and profile of psycho-social work dependency. These results could help OB researchers and practitioners to know more about the connections between employees and their work, especially for Chinese workers. This new construct may also stir up more studies to investigate the role of psycho-social work dependency in the workplace.

Surface acoustic wave (SAW) sensors have attracted great attention worldwide for a variety of applications in measuring physical, chemical and biological parameters. However, stability has been one of the key issues which have limited their effective commercial applications. To fully understand this challenge of operation stability, this paper aims to systematically review mechanisms, stability issues and future challenges of SAW sensors for various applications.

This review paper starts with different types of SAWs, advantages and disadvantages of different types of SAW sensors and then the stability issues of SAW sensors. Subsequently, recent efforts made by researchers for improving working stability of SAW sensors are reviewed. Finally, it discusses the existing challenges and future prospects of SAW sensors in the rapidly growing Internet of Things-enabled application market.

A large number of scientific articles related to SAW technologies were found, and a number of opportunities for future researchers were identified. Over the past 20 years, SAW-related research has gained a growing interest of researchers. SAW sensors have attracted more and more researchers worldwide over the years, but the research topics of SAW sensor stability only own an extremely poor percentage in the total researc topics of SAWs or SAW sensors.

Although SAW sensors have been attracting researchers worldwide for decades, researchers mainly focused on the new materials and design strategies for SAW sensors to achieve good sensitivity and selectivity, and little work can be found on the stability issues of SAW sensors, which are so important for SAW sensor industries and one of the key factors to be mature products. Therefore, this paper systematically reviewed the SAW sensors from their fundamental mechanisms to stability issues and indicated their future challenges for various applications.

This study looks beyond firm boundaries to depict supply chain (SC) adaptability and classifies it into internal, customer and supplier dimensions to investigate their performance implications, respectively. This study also examines the enablers of SC adaptability based on information processing theory.

This study applies the structural equation modeling method to investigate relationships among SC information sharing, SC adaptability and operational performance using data collected from 216 manufacturers in China.

Internal information sharing has a positive impact on three dimensions of SC adaptability, whereas supplier and customer information sharing only have a positive impact on supplier adaptability. Customer and supplier information sharing interact to positively influence the three dimensions of SC adaptability, while internal and customer information sharing interact to negatively affect customer adaptability. We also find that all the three dimensions of SC adaptability can enhance operational performance.

This study contributes to providing a holistic definition of SC adaptability and classifies it into three dimensions. It also investigates antecedents and performance outcomes of SC adaptability.