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The purpose of this paper is to solve the shortage of the existing methods for the prediction of network security situations (NSS). Because the conventional methods for the prediction of NSS, such as support vector machine, particle swarm optimization, etc., lack accuracy, robustness and efficiency, in this study, the authors propose a new method for the prediction of NSS based on recurrent neural network (RNN) with gated recurrent unit.

This method extracts internal and external information features from the original time-series network data for the first time. Then, the extracted features are applied to the deep RNN model for training and validation. After iteration and optimization, the accuracy of predictions of NSS will be obtained by the well-trained model, and the model is robust for the unstable network data.

Experiments on bench marked data set show that the proposed method obtains more accurate and robust prediction results than conventional models. Although the deep RNN models need more time consumption for training, they guarantee the accuracy and robustness of prediction in return for validation.

In the prediction of NSS time-series data, the proposed internal and external information features are well described the original data, and the employment of deep RNN model will outperform the state-of-the-arts models.

The purpose of this paper is to test the factor structure of the multifactor leadership questionnaire (MLQ) in the Chinese context and determine whether leader-member exchange (LMX) mediates the effects of active constructive leadership (ACL) and passive corrective leadership (PCL) on subordinates’ organizational commitment at the group level.

Questionnaires were completed by two employee samples. The first sample consisted of 615 employees from five pharmaceutical companies. The second sample consisted of 676 employees from 144 teams. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling were used to test the hypotheses.

The factor analysis results showed two types of leadership in the data: ACL and PCL. The structural equation modeling showed that LMX mediated the effect of leadership on collective organizational commitment.

The data were cross-sectional in nature. Furthermore, leadership and LMX were both measured from the perspective of followers.

Managers must realize that leadership is an art that requires not only the self-cultivation of individual behavior, but also appropriate and intelligent conduct when interacting with followers. Team leaders also must pay attention to both their high quality relationships with subordinates and the mutual influence within their groups.

The current study makes an empirical contribution to the psychometric properties of the MLQ, suggesting a higher two-factor structure appropriate for Chinese employees. It also clarifies the relationships between leadership, LMX and organizational commitment at multiple levels.

With the diversification of professional values, an increasing number of individuals voluntarily choose positions that demand less than their personal knowledge, skills and educational background, a phenomenon known as voluntary overqualification. This study aims to explore the reasons for discerning the motivations driving voluntary overqualification, define its conceptual content and develop the measurement scale for voluntary overqualification.

Through five phases, and using both qualitative and quantitative approaches, the authors constructed a scale comprising three dimensions: earnings-oriented, life-oriented and meaning-oriented to measure voluntary overqualification. Following the steps of scale development, the conceptual connotation and structural dimensions of voluntary overqualification were systematically coded and mined based on grounded theory. The scale’s reliability and validity were measured through exploratory and validation factor analyses. Finally, the validity of the voluntary overqualification scale was verified through the selection of professional identity and subjective well-being.

This study defined connotations and structural dimensions of voluntary overqualification based on grounded theory, resulting in a measurement scale with three dimensions and 13 items. These dimensions include earnings-, life- and meaning-oriented voluntary overqualification. Empirical testing of predictive validity used professional identity and subjective well-being as outcome variables.

This study provides a theoretical foundation and an effective measurement tool for subsequent research in voluntary overqualification by focusing on a new type of voluntary overqualification, defining its connotations and developing a complete set of scales.

This paper explores the link between leadership derailment risk and competency ambidexterity in a digitalized global environment. It also investigates the impact of balanced skills on leadership success in collectivist and assertive cultures.

A mixed methods approach is employed using survey data from 766 American and Japanese managers and eight interviews across four diverse cultures. It uncovers the intricate relationship between leadership derailment risk and competency ambidexterity.

Optimal competency ambidexterity lowers the risks of leadership incompetence (operationalized as derailment) but through distinct configurations of current and needed competencies, which both competencies should be congruent at high levels in uncertain environments. Furthermore, moderately high competency levels mitigate derailment risk in collaborative cultures (Japan and China), while very assertive cultures (USA and Netherlands) require high competencies to lower derailment danger and sustain leadership effectiveness.

Leaders must maintain competency ambidexterity, adapting to diverse contexts in our dynamic world. Recognizing cultural nuances is essential for enhancing managers’ skills in global talent management.

Cultural values shape competency configurations and managers should balance organizational and personal competencies for effective leadership. Qualitative insights complement quantitative data.

This paper takes listed companies in the Shanghai and Shenzhen stock markets from 1998 to 2013 as a research sample, investigating the role played by corruption and financial development, along with the interactions between the two, in determining the factors of a company’s capital structure in China’s legal environment. The paper aims to discuss these issues.

Using data of listed companies and the regional level of China during 1998-2013 and the STATA process (xtabond2 command) developed by Roodman (2006) to implement the two-step GMM estimation, empirically investigate the effect of interactions between corruption and financial development on a company’s capital structure in Chinese legal environment.

After both controlling for China’s legal environment, a company’s internal factors, and industry factors and considering endogeneity problems, the results show that corruption and financial development have significant positive influences on a company’s bank loans. However, when investigating the interactions between corruption and financial development, the authors find that financial development does not increase a company’s bank loans in areas with a higher level of corruption. However, corruption and financial development have insignificant influences on a company’s long-term bank loans.

The findings in this study suggest that a company’s capital structure was affected not only by the company’s internal factors and industry factors, but also by the company’s external factors, and the interactions between these factors.

To improve the financing circumstances of company credit, the next point of reform should be to improve their procedures for administrative examination and approval of bank creditors and strengthen the punishment and prevention of credit and judicial corruption to weaken the negative effects of corruption on firms’ capital structure decisions.

This study uses only Chinese listed companies, and considers the influence of the interaction of corruption and financial development on a company’s capital structure decisions.

This study examined the link between abusive supervision and subordinates’ turnover intentions via job dissatisfaction. In addition, this study examined the moderating effect of continuance commitment in this process.

The authors collected three-wave time lagged data (N = 190) from the hospitality industry in China.

The analysis showed that abusive supervision predicts subordinates’ turnover intentions both directly and indirectly via job dissatisfaction. Moreover, continuance commitment was considered to be a boundary condition such that the mediated link was weaker when higher levels of continuance commitment were present.

This study explains how and when abusive supervision leads to turnover intentions in the hospitality industry. This study also helps hospitality managers to understand the abusive supervision prevalence and provide interventions that can reduce detrimental effects of abusive supervision in hospitality organizations.

Prior research examining the influence of supervisor abuse in hospitality organizations was scant. To bridge this noteworthy gap, this study examined the influence of abusive supervision in Chinese hospitality organizations. This study also discussed the theoretical and practical implications for the hospitality industry.

This study broadens the understanding of how omnichannel service convenience, shopping value and channel congruence affect customer perceived trust and satisfaction and, in turn, affect selection intention after an omnichannel shopping experience.

Target participants were recruited based on previous purchases from the Japanese clothing brand Uniqlo. A questionnaire was distributed via social media. In total, 341 valid responses were collected for structural equation modelling (SEM).

The results revealed that in omnichannel shopping context, perceived trust and satisfaction are positively affected by service convenience and shopping value and are especially affected by channel congruence. Further analysis showed that perceived trust and satisfaction have a positive effect on omnichannel selection intention, with satisfaction playing a mediating role in the relationships of omnichannel service convenience, shopping value and channel congruence with omnichannel selection intention.

This study contributes to the literature on omnichannel customer behaviour by shedding light on the antecedents of intention to select omnichannel retailers from the customer’s perspective.

Social robot, a subtype of robots that is designed for the various interactive services for human, which must deliver superior user experience (UX) by expressing human-like social behavior or service and emotional sensitivity. This study develops a social robot app called the “Music Buddy” in ASUS Zenbo that provides a situational music based on the users' electroencephalogram (EEG) data. The research uses this app to explore its UX criteria and the prioritization of human robot interaction (HRI).

The research methodologies include the both system development and decision analysis for the social robot. The first part is to design and develop a social robot app. The second part is to investigate the criteria of HRI through the Analytic Hierarchy Process (AHP) from UX aspects.

In view of the results of the AHP, the first-layer criteria consist of personalized function, easy-to-use the system and intelligent process. In terms of prioritization of multi-criteria, the overall ranking discloses the nine criteria in order including autonomy for robot, easy-to-use EEG device, accurate music preference, simple operations for brainwave device and easy-to-use applications, active music recommendation, automatic updates of music and easy-to-use robot as well as fast detection for emotion.

This research includes a self-developed social robot app and its UX research using AHP. This paper contributes to the improvement and innovation of the social robot design according to the results of UX research on HRI of social robot.

The purpose of this paper is to evaluate the impact of short-term loan (STL) vs long-term loan (LTL) on wheat productivity of small farms in Sindh, Pakistan.

The econometric estimation is based on cross-sectional data collected in 2016 from 18 villages in three districts, i.e. Shikarpur, Sukkur and Shaheed Benazirabad, Sindh, Pakistan. The sample data set consist of 180 wheat farmers. The collected data were analyzed through different econometric techniques like Cobb–Douglas production function and Instrumental variables (two-stage least squares) approach.

This study reconfirmed that agricultural credit has a positive and highly significant effect on wheat productivity, while the short-term loan has a stronger effect on wheat productivity than the long-term loan. The reasons behind the phenomenon may be the significantly higher usage of agricultural inputs like seeds of improved variety and fertilizers which can be transformed into the wheat yield in the same year. However, the LTL users have significantly higher investments in land preparation, irrigation and plant protection, which may lead to higher wheat production in the coming years.

In the present study, only those wheat farmers were considered who obtained agricultural loans from formal financial institutions like Zarai Taraqiati Bank Limited and Khushhali Bank. However, in the rural areas of Sindh, Pakistan, a considerable proportion of small-scale farmers take credit from informal financial channels. Therefore future researchers should consider the informal credits as well.

This is the first paper to examine the effects of agricultural credit on wheat productivity of small farms in Sindh, Pakistan. This paper will be an important addition to the emerging literature regarding effects of credit studies.

This study aims to investigate the dual effects of commitment-based governance on the relationship between formal control and public–private partnership (PPP) project performance. Formal control and relationship governance are two primary forms of inter-organizational governance that affect project performance. However, little is known about the interplay between formal control and commitment and its effect on PPP projects. More specifically, previous studies have failed to distinguish the function routes of relationship governance resulting from different types of formal control (process and outcome control).

This study adopts a questionnaire survey to empirically investigate the mechanism that commitment-based governance influences the relationship between formal control and PPP performance. After collecting data from public and private sector professionals involved in 101 Chinese PPP projects, the theoretical framework proposed in this paper is verified by the empirical results of the hierarchical multiple regression analysis.

The results show that process control has an inverted U-shaped effect and outcome control has a significant positive influence on PPP project performance. Furthermore, commitment moderates the effect of formal control on PPP project performance by increasing the relevance of outcome control and mediates the inverted U-shaped relationship between process control and PPP project performance.

Managers should recognize that process control is a double-edged sword and prevent the overuse of process control. Managers should direct their attention toward efforts to improve the commitment, which allows for the effectiveness of outcome control strategies. Additionally, this study new measurement method for relationship governance suggests that managers should be aware of the difference in parties' perceptions of the relationship.

This study allows for a comprehensive understanding of the relationship governance-control nexus from a commitment perspective. The authors bring into light the dual role of commitment-based governance in the relationship between the two types of formal control and PPP project performance. Moreover, the new approach to measure relationship governance offers valuable insight into the measurement of variables about individual's perception.