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Understanding user behavior is increasingly critical for information security in the use of smartphones. There is, however, lack of empirical studies about the behavior of smartphone users for information security in China. The purpose of this paper is to present an empirical analysis of the behavior of smartphone users in China in relation to information security.

A review of the related literature is conducted, leading to the development of a questionnaire for investigating the behavior of smartphone users. An online survey of the smartphone users in China is conducted. The collected data are analyzed with the use of descriptive analysis and Pearson’s chi-square test to better understand the behavior of smartphone users on information security.

The paper shows that there are serious concerns about information security in the use of smartphones in China including the ignorance of security information in downloading and using applications, inadequate phone settings, inappropriate enabling of add-on utilities and lack of proper disaster recovery plans. The study also reveals that there is a significant difference between different groups of users on information security in smartphone use.

This paper is based on a purposeful sample of smartphone users in China. It is exploratory in nature.

The paper can lead to a better understanding of the behavior of smartphone users and information security in China and provide relevant government departments and institutions with useful information for developing appropriate strategies and policies and designing specific training programs to improve information security in the smartphone use.

This paper is the first of this kind to collect quantitative data from users in China for better understanding the behavior of smartphone users on information security. It provides insight towards the adoption of various measures for information security from the perspective of smartphone users in China.

Dialogue in Darkness (DID) is a global social enterprise, which provides products and services such as workshops, exhibitions and activities in the dark in China. The corporate workshops are designed for companies, institutions and government agencies to provide unique leadership training and some other training in teamwork, communication, innovation and change management. And education workshops are aimed at providing young people with unique leadership training and training in teamwork, innovation and empathy and so on for the educational institutions. Over the past five years, DID, headquartered in Shanghai, has expanded to Beijing, Chengdu and Shenzhen, realizing strategic coverage of East, West, North and South of China. DID achieved break-even within less than one year since its inception. Its sound and healthy development offers an innovative way for the sustainable development of social enterprises.

The purpose of this paper is to find how leader humility affects employees’ constructive voice behavior toward supervisor (speaking up) and coworkers (speaking out) from an identification-based perspective, and seeks to verify the effectiveness of leader humility in the Chinese context.

Data were collected from 325 employees in four Chinese companies with two phases. In the first phase, the participants were asked to report the leader humility, their identification of their relations with the supervisor, and their identification with their organization. In the second phase, they were asked to report their voice behaviors toward their supervisors and coworkers.

The results indicate that leader humility strongly predicts both employees’ voice behaviors of speaking up and speaking out. Results further suggest that relational identification with the supervisor explains why leader humility promotes employees speaking up, while organizational identification explains why leader humility promotes employees speaking up and speaking out.

Managers with humility can successfully shape employees’ relational and organizational identifications, which in turn encourage their voice behaviors toward supervisors and coworkers. Hence, behaving humbly in working places could be an effective way for managers to promote organizational cohesion and creativity.

Although leader humility attracts much attention in both academia and practice, researchers have been primarily focusing on conceptual development and measurement issues, and empirical studies are rare. This is the first research connecting leader humility and employee proactive behaviors. Moreover, it takes an in-depth analysis of the constructive voice behaviors by differentiating them based on their targets.

Human group behavior is the driving force behind many complex social and economic phenomena. Few studies have integrated multi-dimensional travel patterns and city interest points to construct urban security risk indicators. This paper combines traffic data and urban alarm data to analyze the safe travel characteristics of the urban population. The research results are helpful to explore the diversity of human group behavior, grasp the temporal and spatial laws and reveal regional security risks. It provides a reference for optimizing resource deployment and group intelligence analysis in emergency management.

Based on the dynamics index of group behavior, this paper mines the data of large shared bikes and ride-hailing in a big city of China. We integrate the urban interest points and travel dynamic characteristics, construct the urban traffic safety index based on alarm behavior and further calculate the urban safety index.

This study found significant differences in the travel power index among ride-sharing users. There is a positive correlation between user shared bike trips and the power-law bimodal phenomenon in the logarithmic coordinate system. It is closely related to the urban public security index.

Based on group-shared dynamic index integrated alarm, we innovatively constructed an urban public safety index and analyzed the correlation of travel alarm behavior. The research results fully reveal the internal mechanism of the group behavior safety index and provide a valuable supplement for the police intelligence analysis.

Research about the benefit of voice to organizations generally assumes that leaders acknowledge or act upon employees’ ideas when they are voiced, but is it always the case? Drawing on social persuasion theory, the purpose of this paper is to explore what factors shape the effectiveness of employee voice by integrating message, receiver and source characteristics of employee voice into one theoretical model. Specifically, this paper investigates the influence of different types of voice on leader receptivity, and further examines whether the effectiveness of employee voice might be contingent on authentic leadership and employee expertise.

Data were collected from 353 matched employee–supervisor pairs in a two-phase field study. Hierarchical regression analyses were conducted to examine the relationships among the study variables.

Results indicate that leaders respond more receptively to promotive voice than prohibitive voice. Furthermore, leader receptivity is contingent on authentic leadership and employee expertise. The relationship between promotive voice and leader receptivity is more pronounced when employee expertise or authentic leadership is high rather than low; the relationship between prohibitive voice and leader receptivity is significant only when authentic leadership or employee expertise is high.

This research offers a more holistic explanation for understanding the effectiveness of voice behavior. Specifically, these findings emphasize the important role of voice content in determining managerial response, and underscore the value of receiver and source characteristics in shaping the relationship between voice and leader receptivity.

Prefabricated components sustainable supplier (PCSS) selection is critical to the success of prefabricated projects. However, limited studies have addressed the uncertainty and complexities during the selection process, particularly in multi-criterion group decision-making (MCGDM) circumstances. Hence, the research aims to develop a group decision-making model using a modified fuzzy MCGDM approach for PCSS selection under uncertain situation.

The proposed study develops a framework for sorting decisions in PCSS selection by using the hesitant fuzzy technique for order preference by similarity to ideal solution (HF-TOPSIS) method. The maximum consistency (MC) model is used to calculate the weights of decision makers (DMs) based on the cardinality and sequence of decision data.

The proposed framework has been successfully applied and illustrated in the case example of CB01 contract section in Hong Kong-Zhuhai-Macao Bridge (HZMB) megaproject. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The MC model is able to calculate the weights of DMs based on the cardinality and sequence of decision data.

The research contributes to improving accuracy and reliability decision-making processes for PCSS selection, especially under hesitant and fuzzy situations in prefabricated megaprojects.

This study aims to investigate the effects of different dimensions of social capital on individual knowledge transfer to nurture the organization’s intellectual capital, as well as the interactions among these dimensions and explore the potential moderators.

This study conducted a meta-analysis with 108 independent empirical studies to examine the different dimensions of social capital–knowledge transfer relationships and the effects of moderators and used meta-analytic structural equation modeling (MASEM) to test the internal relationships among social capital dimensions.

The results show that structural, relational and cognitive social capitals are all positively related to knowledge transfer. In addition, different dimensions of social capital act as complements to one another. Further examinations reveal that the level of economic development has no significant moderating effect on the relationship between social capital and knowledge transfer. Then, the cultural context and profit climate characteristics moderate the relationship between social capital and knowledge transfer.

Leveraging the trilogy of signaling, learning and spillover effects, this meta-analytic study quantitatively integrates the relationships between different dimensions of social capital and knowledge transfer. It reconciles the present disparate findings, demonstrates the validity of different dimensional social capital interactions and obtains highly generalized conclusions. This study also introduces a dichotomy, saturation versus reinforcement, to explain the mixed results, which enriches social capital theory.

This paper aims to solve the problem that strong noise interference seriously affects the direction of arrival (DOA) estimation in complex underwater acoustic environment. In this paper, a combined noise reduction algorithm and micro-electro-mechanical system (MEMS) vector hydrophone DOA estimation algorithm based on singular value decomposition (SVD), variational mode decomposition (VMD) and wavelet threshold denoising (WTD) is proposed.

Firstly, the parameters of VMD are determined by SVD, and the VMD method can decompose the signal into multiple intrinsic mode functions (IMFs). Secondly, the effective IMF component is determined according to the correlation coefficient criterion and the IMF less than the threshold is processed by WTD. Then, reconstruction is carried out to achieve the purpose of denoising and calibration baseline drift. Finally, DOA estimation is achieved by the combined directional algorithm of preprocessed signal.

Simulation and field experiments results show that the algorithm has good noise reduction and baseline drift correction effects for nonstationary underwater signals, and high-precision azimuth estimation is realized.

This research provides the basis for MEMS hydrophone detection and positioning and has great engineering significance in underwater detection system.

The purpose of this study is to examine if the international experience of a family firm’s chairman, second-generation managers and other top managers all have impacts of different strengths using information about Chinese family firms’ international expansion.

Matching tactics and dynamic Heckman 2-stage analysis were applied to data on 766 publicly-listed Chinese family businesses covering 2008–2014.

The international experience of the chairman, second-generation family managers and other senior managers all were found to correlate with the proportion of a firm’s revenue earned abroad, as well as with the number of its cross-border mergers and acquisitions. The impact of a chairman’s international experience is stronger than the impact of the other two groups when internationalization is measured in terms of the proportion of revenue earned overseas. The second-generation managers’ international experience is the most influential when internationalization is measured in terms of the number of cross-border mergers and acquisitions.

This paper bridges agency theory with upper echelons theory in the context of the family business. The findings contribute to the scholarly understanding of family business by illuminating the mechanisms through which second-generation managers may influence family firms’ internationalization. They also enrich the knowledge of family firms in China.

The purpose of this paper is to analyze the characteristics of spatio-temporal dynamics and the evolution of land use change is essential for understanding and assessing the status and transition of ecosystems. Such analysis, when applied to Horqin sandy land, can also provide basic information for appropriate decision-making.

By integrating long time series Landsat imageries and geographic information system (GIS) technology, this paper explored the spatio-temporal dynamics and evolution-induced land use change of the largest sandy land in China from 1983 to 2016. Accurate and consistent land use information and land use change information was first extracted by using the maximum likelihood classifier and the post-classification change detection method, respectively. The spatio-temporal dynamics and evolution were then analyzed using three kinds of index models: the dynamic degree model to analyze the change of regional land resources, the dynamic change transfer matrix and flow direction rate to analyze the change direction, and the barycenter transfer model to analyze the spatial pattern of land use change.

The results indicated that land use in Horqin sandy land during the study period changed dramatically. Vegetation and sandy land showed fluctuating changes, cropland and construction land steadily increased, water body decreased continuously, and the spatial distribution patterns of land use were generally unbalanced. Vegetation, sandy land and cropland were transferred frequently. The amount of vegetation loss was the largest. Water body loss was 473.6 km², which accounted for 41.7 per cent of the total water body. The loss amount of construction land was only 1.0 km². Considerable differences were noted in the rate of gravity center migration among the land use types in different periods, and the overall rate of construction land migration was the smallest. Moreover, the gravity center migration rates of the water body and sandy land were relatively high and were related to the fragile ecological environment of Horqin sandy land.

The results not only confirmed the applicability and effectiveness of the combined method of remote sensing and GIS technology but also revealed notable spatio-temporal dynamics and evolution-induced land use change throughout the different time periods (1983-1990, 1990-2000, 2000-2010, 2010-2014, 2014-2016 and 1983-2016).