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The major marine functional zoning plan (MMFZP) and marine functional zoning (MFZ) are two important kinds of marine spatial planning (MSP) in China. Their developing and implementation are integral to rational marine utilization and sustainable marine development. The purpose of this research is to study how these two kinds of MSP work in coordination in China.

This paper reviewed the present status of MSP research in China and abroad and presented a comparative study of the MMFZP and MFZ from different aspects, analyzing the relationship between the two.

The study found obvious differences between the MMFZP and MFZ, with respect to their concept and connotation, purpose and goal, as well as zoning methods and zoning functions. MFZ provides reference with respect to data, zoning methods and partial zoning results for the MMFZP, which in turn takes measures for addressing issues faced by MFZ and promotes the national MSP work.

In the process of developing and implementing the two zoning plans, this paper emphasizes the necessity to strengthen data sharing, reference of zoning techniques and coordination in zoning work, which will help to improve China's marine spatial management.

This paper aims to explore how intra-industry entrepreneurial experience and failure entrepreneurial experience affect novelty-centered business model design in a new venture. Moreover, the authors also consider whether the contingent value of entrepreneurial experience may differ according to competitive intensity.

A survey via questionnaire was conducted with 290 entrepreneurs and top managers from Chinese new ventures that provided the research data. Hierarchical regression analysis was used to test the proposed theoretical hypotheses.

The empirical results indicate that intra-industry entrepreneurial experience has an inverted U-shaped effect on novelty-centered business model design, whereas failure entrepreneurial experience has a negative effect on novelty-centered business model design. Furthermore, the authors also find that competitive intensity weakens the inverted U-shaped effect of intra-industry entrepreneurial experience on novelty-centered business model design.

This study offers new insights into the effects of intra-industry entrepreneurial experience and failure entrepreneurial experience on novelty-centered business model design and provides useful suggestions for new ventures to promote business model design.

The purpose of this paper is to investigate the mechanism of building trust during the transition from online payment to mobile payment, as well as to examine the effect of trust on the satisfaction and continuance intention of mobile payment users. Based on trust transfer theory, this study proposes that trust in online payment (i.e. trust in source) and two source-target relationship factors, namely, perceived similarity and entitativity, affect trust in mobile payment (i.e. trust in target). In turn, the resulting trust influences user satisfaction and continuance intention toward mobile payment in an online-mobile payment context.

The model was empirically tested on data collected from 219 mobile payment users of a famous payment enterprise in China.

The results indicated that the trust transfer process positively influences the continuance intention of mobile payment through satisfaction. Satisfaction is an important factor affecting continuance intention. Moreover, trust in online payment, perceived similarity, and perceived entitativity between online and mobile payments can positively influence trust in mobile payment.

This study investigates the post-adoption usage of mobile payment from the trust transfer perspective. It focuses on the trust-building process and emphasizes the importance of trust on the continuance intention toward mobile payment in an online-mobile payment context.

The phenomenon of mobile social networking site (SNS) addiction has become increasingly severe nowadays and brings adverse outcomes to users’ daily life and work efficiency. However, there are relatively few research probes into the formation process of mobile SNS addiction behavior, and how demographic factors (e.g. gender and age) influence users’ addiction behavior. Adopting the stimulus–organism–response (S–O–R) framework, this study examines the effects of three types of technological functions (enjoyment, sociability and information value) on flow in relation to mobile SNS addiction. The authors further proposed gender and age as moderators, which play important roles in influencing the formation of mobile SNS addiction behavior.

This study examines the formation of mobile SNS addiction with a particular focus on the WeChat app. The authors use a field survey study conducted in China with 351 subjects of WeChat app users to examine thestudy model.

The results demonstrate that addictive behavior is determined by users’ flow states of using mobile SNS. The flow states, in turn, are influenced by three types of technological functions (enjoyment, sociability and information value). In addition, gender and age act as vital moderators in the model.

First, the authors empirically examine the formation of SNS addiction on the mobile device by adopting the S–O–R framework, which may enrich the addiction literature. Second, the authors reveal the moderating roles of age and gender in affecting the formation process of addiction behavior further. The findings of this research deepen our understanding of users’ addiction behavior. Third, the findings also offer rich insights to prevent mobile SNS addiction.

This study aims to systematically review the literature in the fields of liquidity, informational efficiency and default risk. The authors outline the key research streams and provide possible pathways for future research.

The study adopts bibliographic mapping to identify the most influential studies in the research fields of liquidity, informational efficiency and default risk from 1984 to 2021.

The study identifies four key research themes that include efficiency and transparency of markets; corporate yield spreads; market interactions: bonds, stocks and cryptocurrencies; and corporate governance. By assessing publications published from 2018 to 2021, the authors also document seven key emerging research trends: cross markets, managerial learning and corporate governance, state ownership and government subsidies, international evidence, machine learning (FinTech approaches), environmental themes and financial crisis. Drawing on these emerging trends, the authors highlight the opportunities for future research.

Keyword searches have limitations since some studies might be overlooked if they do not match the specified search criteria, even though their relevance to the topic is under investigation. Adopt the R project to expand this review by incorporating more literature from other databases, such as the Scopus database could be a possible solution.

The four key research streams contribute to a comprehensive understanding of liquidity, informational efficiency and default risk. The emerging trends integrate existing knowledge and leave the chance for innovative research to expand the research frontier.

This study fulfills the systematic literature review streams in the fields of liquidity, informational efficiency and default risk, and provides fruitful opportunities for future research.

The problematic use of social media progressively worsens among a large proportion of users. However, the theory-driven investigation into social media addiction behavior remains far from adequate. Among the countable information system studies on the dark side of social media, the focus lies on users' subjective feelings and perceived value. The technical features of the social media platform have been ignored. Accordingly, this study explores the formation of social media addiction considering the perspectives of users and social media per se on the basis of extended motivational framework and attachment theory.

This study investigates the formation of social media addiction with particular focus on WeChat. A field survey with 505 subjects of WeChat users was conducted to investigate the research model.

Results demonstrate that social media addiction is determined by individuals' emotional and functional attachment to the platform. These attachments are in turn influenced by motivational (perceived enjoyment and social interaction) and technical (informational support, system quality and personalization) factors.

First, this study explains the underlying mechanism of how users develop social media addiction. Second, it highlights the importance of users' motivations and emotional dependence at this point. It also focuses on the technical system of the platform that plays a key role in the formation of addictive usage behavior. Third, it extends attachment theory to the context of social media addictive behavior.

This study aims to investigate the basic public service level in the Beijing-Tianjin-Hebei region under the impact of COVID-19.

This study constructed a basic public service-level evaluation system from the five dimensions of education, culture, health, social security and infrastructure and environment, and measures the basic public service level in 13 cities in Beijing, Tianjin and Hebei using the entropy method. The spatial pattern and dynamic evolution of the public service level are analysed from the perspective of dynamic trends in time series and spatial distribution, along with the reasons for the evolution of spatial distribution.

(1) The basic public service level in the 13 cities is generally on the rise, but the trend is unstable. (2) The basic public service level in space shows a general trend of attenuation from northeast to southwest, with significant spatial imbalance and orientation. (3) The regional differences first increase and then decrease. (4) The inter-group mobility of different basic public service levels is low, and cities with lower initial levels find it difficult to achieve leapfrog development. Moreover, the health service level of the region is still at a low stage, which is not conducive to effectively preventing and controlling the epidemic.

From the perspective of this research, the spatial pattern and dynamic evolution of basic public service were adopted to analyse the coordinated development of the Beijing-Tianjin-Hebei region. Furthermore, this study discusses how to improve the basic public service level to ensure sustainable operation in the region under the impact of COVID-19.

Users' continuance intention is vital to the future of mobile social networking service (SNS) with rapid development and intensive competitions among its providers. The purpose of this research is to identify the factors affecting mobile SNS users' continuance intention.

Data from an online survey administered to 228 mobile SNS users are used to test the research model through the use of structural equation modelling.

The results show that flow, perceived usefulness and satisfaction determine continuance intention of mobile SNS. Moreover, the authors found that referent network size and perceived complementarity are the main factors affecting flow, whereas information quality is the main factor affecting perceived usefulness. Only system quality significantly affects satisfaction.

The results imply that mobile service providers need to take the functional characteristics of the mobile SNS (e.g. system quality and information quality), network externalities (referent network size and perceived complementarity) and flow experience into consideration when encouraging users' continuance intention towards mobile SNS.

Extant research has focused on initial adoption and usage of mobile SNS and has seldom considered post-adoption usage, which is critical to mobile service providers' success. This research tries to fill the gap by examining continuance intention to use mobile SNS. The theory embedded within the IS success model, network externalities and flow theory articulated that these three research domains can be integrated to better understand the factors that influence mobile SNS users' continuance intention.

The purpose of this paper is to propose a new method based on nonlinear least squares (NLS) for solving the parameters of nonlinear grey Bernoulli model (NGBM(1,1)) and to verify the proposed model using the case of employee demand prediction of high-tech enterprises in China.

First of all, minimising the square sum of fitting error of grey differential equation of NGBM(1,1) is taken as the optimisation target and the parameters of classic grey model (GM(1,1)) are set as the initial value of parameter vector. Afterwards, the structural parameters and power exponents are solved by using the Gauss-Newton iteration algorithm so as to calculate the parameters of NGBM(1,1) under given rules for ceasing the algorithm. Finally, by taking the employee demand of high-tech enterprises in the state-level high-tech industrial development zone in China as examples, the validity of the new method is verified.

The results show that the parameter estimation algorithm based on the NLS method can effectively identify the power exponents of NGBM(1,1) and therefore can favourably adapt to the nonlinear fluctuations of sequences. In addition, the algorithm is superior to the GM(1,1) model, grey Verhulst model, and Quadratic-Exponential smoothing algorithm in terms of the simulation and prediction accuracy.

Under the framework of solving parameters based on NLS, various aspects of NGBM(1,1) remain to be further investigated including background value, initial condition and variable structural modelling methods.

The parameter estimation algorithm based on NLS can effectively identify the power exponent of NGBM(1,1) and therefore it can favourably adapt to the nonlinear fluctuation of sequences.

According to the basic principle of NLS, a new method for solving the parameters of NGBM(1,1) is proposed by using the Gauss-Newton iteration algorithm. Moreover, by conducting the modelling case about employees demand in high-tech enterprises in China, the effectiveness and superiority of the new method are verified.

This study aims to investigate whether and how corporate seniority culture (a form of high power distance or hierarchy), a typical feature of Confucian norms, affects the corporate innovation efficiency in emerging markets.

This study defines and measures seniority culture through the ranking method of independent directors in company’s annual report. Unlike most companies in the USA where directors are listed alphabetically, the ranking of directors in China is meaningful and reflects hierarchy. This study considers a firm with seniority if independent directors are ranked according to their status, including age, social position and political connection. Using data from Chinese listed companies between 2009 and 2013, this study conducts multiple regressions to examine the impact of seniority on innovative efficiency.

The empirical results show that seniority culture is negatively associated with innovative efficiency. Moreover, the negative association between a corporate culture of seniority and innovative efficiency is more pronounced in firms with more male executives and knowledge-intensive firms. Further analysis reveals that seniority culture expands pay disparities among different classes, hinders their enthusiasm to communicate and ultimately damages the corporate efficiency of innovation.

Corporate seniority culture is an essential factor that may hinder employee communication and inhibit innovation efficiency. Therefore, companies should break the identity barrier at different levels and advocate a culture of equality to promote information exchange and knowledge sharing among employees.

This study extends the field of literature on the determinants of corporate innovation efficiency and deepens our theoretical understanding of the negative impact of corporate seniority culture.