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Team autonomy is thought to be important for team innovation performance. However, the theoretical basis of the relationship between team autonomy and team innovation performance is not well understood, and previous studies have found inconsistent relations between them. Based on motivated information processing in groups (MIP-G) theory, this paper aims to explain how and when team autonomy could influence team innovation performance from a new team-level perspective.

Using a two-wave, time-lagged survey design, the authors collected data from 340 members of 86 teams in China. PROCESS 3.0 for SPSS was used to test hypothesized relationships.

The results show that team autonomy is positively related to team information exchange. Team information exchange mediates the positive relationship between team autonomy and team innovation performance. Furthermore, the positive relationship between team autonomy and team information exchange is stronger with less task conflict, which runs contrary to the hypothesis. Additionally, relationship conflict does not adjust the impact of team autonomy on team information exchange.

This study provides a new perspective to explain the mechanism between team autonomy and team innovation performance at team level from the information processing approach, specifically, MIP-G theory. It also incorporates team conflicts as important contextual factors to answer the call for a wider study of boundary conditions in the team autonomy research.

This study aims to explore the impacts of service industry employees’ AI awareness on their voice behavior while also considering the dual mediating roles of voice efficacy and job insecurity, as well as the moderating role of trait competitiveness.

The sample comprises data from a two-wave longitudinal survey of 203 employees in the service sector. This study examined all the hypotheses using Mplus 8.0.

This study confirms that service sector employees’ AI awareness has significant negative effects on both promotive and prohibitive voice behaviors. Voice efficacy can mediate the negative impact of AI awareness on promotive voice. Both voice efficacy and job insecurity can mediate the negative impact of AI awareness on prohibitive voice. Furthermore, employees’ trait competitiveness can weaken the negative impact of employees’ AI awareness on their voice efficacy.

Managers should first investigate employees’ AI awareness and then adopt targeted managerial strategies to promote their voice behavior.

This study contributes to the literature related to the consequences of AI awareness by linking AI awareness to employee voice behavior. Furthermore, this study deepens our understanding of how AI awareness affects employee voice behavior by proposing voice efficacy (i.e. the efficacy pathway) and job insecurity (i.e. the safety pathway) as key mediating mechanisms. Moreover, this study advances our understanding of when AI awareness influences employee voice behavior by identifying the moderating role of trait competitiveness.

This study aims to explore the associations linking employees’ challenge-hindrance appraisals toward artificial intelligence (AI) to service performance while considering the dual mediating roles of job crafting and job insecurity, as well as the moderating role of AI knowledge.

A survey was administered to a sample of 297 service industry employees. This study examined all the hypotheses with Mplus 8.0.

This study confirms that challenge appraisal toward AI has an indirect positive influence on service performance via job crafting (motivation process), whereas hindrance appraisal toward AI has an indirect negative influence on service performance via job insecurity (strain process). Meanwhile, AI knowledge, serving as a key personal resource, could strengthen the positive impacts of challenge appraisal toward AI on job crafting and of hindrance appraisal toward AI on job insecurity.

Organizational decision-makers should first survey employees’ appraisals toward AI and then adopt targeted managerial strategies. From the perspective of service industry employees, employees should adopt proactive coping strategies and enrich their knowledge of AI to meet the challenges brought by this technology.

The primary contribution of this study is that we enrich the literature on AI by exploring the dual mediators (i.e. job crafting and job insecurity) through which AI awareness affects service performance. Moreover, this study advances our understanding of when appraisals toward AI influence job outcomes by identifying the moderating role of AI knowledge.

Although voice behavior is important for team performance, scholars have yet to identify its underlying mechanisms and boundary conditions. Using the theory of social information processing (SIP), this study explores how and when team voice influences team performance by considering team learning as a mediator and contingent reward transactional (CRT) leadership as a moderator.

The authors conducted a survey in China using a questionnaire to collect the data. The study sample consisted of 78 leaders and 441 employees nested in 78 teams.

Results showed that team voice was positively related to team performance. The results also proved that the positive relationship between team voice and team performance was mediated by team learning. Additionally, CRT leadership enhanced the effect of team voice on team learning.

First, managers should consider individuals high in voice behavior when selecting team members. Second, leaders need to focus on enhancing the learning process. Third, the authors’ findings suggest that when selecting persons as team leaders, managers should pay additional attention to their leadership style.

The primary contribution of this study is that the research sheds light on the specific team process (i.e. team learning), through which team voice is related to team performance. Moreover, the current study deepens the authors’ understanding of the role of leadership in the voice process by identifying the moderating role of CRT leadership.

The present study aims to examine how and when authoritarian leadership affects employee creativity. Based on social exchange theory and team identification literature, the present research attempts to simultaneously explore how leader–member exchange (LMX) and team identification serve as two important mediating processes in the relationship between authoritarian leadership and employee creativity. Furthermore, this research uncovers the mechanism under which conditions the effects of authoritarian leadership will be magnified or minimized.

A survey has been conducted in China by using a questionnaire to collect data. The study sample consisted of 325 employees. LISREL 8.7 and SPSS 18.0 were used to test the mediating and moderating effects, respectively.

Results from 325 employees revealed that both LMX and team identification mediated the negative relationships between authoritarian leadership and employee creativity. Specifically, the relationship between two mediators was that LMX was positively related to team identification. In addition, the relationship between authoritarian leaderships and LMX and team identification was moderated by power distance, such that the negative relationships will be weaker with high power distance and stronger with low power distance.

First, firms and managers should recognize and take actions to reduce the negative effects of authoritarian leadership, such as effective selection system and interventional mechanisms because authoritarian leadership is important in influencing employee creativity. Second, managers are suggested to take specific actions, such as increasing communications and team-building activities, to promote LMX and team identification, thereby enhancing employee creativity. Third, managers should engage in behaviors that motivate employee creativity, such as empowerment behaviors, other than authoritarian leadership, when the employee has low power distance.

The primary contribution of this research is that two psychological processes (i.e. LMX and team identification) have been identified through which authoritarian leadership is related to employee creativity. Meanwhile, this study explores the relationship between LMX and team identification. Moreover, the current research deepens our understanding of power distance by empirically examining the moderating effect of power distance. Overall, the findings extend our understanding about the relationship between authoritarian leadership and employee creativity and contribute to literature on authoritarian leadership and creativity.

This research explores the influence of authoritarian leadership on employee creativity as mediated by employee creative self-efficacy, moderated by benevolent leadership and power distance.

A survey sample of 325 employees was collected from Chinese companies in different industries. The hypotheses were tested adopting a hierarchical regression and a bootstrapping test.

Employee creative self-efficacy partially mediated the association between authoritarian leadership and employee creativity. The negative impacts of authoritarian leadership on employee creative self-efficacy can be moderated by benevolent leadership. Additionally, the moderation effects of benevolent leadership can be moderated by power distance, which means that these moderation effects of benevolent leadership are significant only in subordinates with low levels of power distance.

An organization should be conscious of the perniciousness of an authoritarian leader and is better for leaders not to show contradictory behaviors to employees. Moreover, when leaders exhibit inconsistent behaviors, they should be sensitive to employee power distance.

Previous studies have been done to explore the predictors of employee creativity. Yet, studies for the impacts of destructive leadership styles on employee creativity are lacking. This study introduces employee creative self-efficacy as a mediator of the relationship between authoritarian leadership and employee creativity. In addition, benevolent leadership and power distance are identified as two boundary conditions to explore the impacts of authoritarian leadership.

This paper aims to semantically linking scientific research events implied by scientific and technical literature to support information analysis and information service applications. Literature research is an important method to acquire scientific and technical information which is important for research, development and innovation of science and technology. It is difficult but urgently required to acquire accurate, timely, rapid, short and comprehensive information from the large-scale and fast-growing literature, especially in the big data era. Existing literature-based information retrieval systems focus on basic data organization, and they are far from meeting the needs of information analytics. It becomes urgent to organize and analyze scientific research events related to scientific and technical literature for forecasting development trend of science and technology.

Scientific literature such as a paper or a patent is represented as a scientific research event, which contains elements including when, where, who, what, how and why. Metadata of literature is used to formulate scientific research events that are implied in introduction and related work sections of literature. Named entities and research objects such as methods, materials and algorithms can be extracted from texts of literature by using text analysis. The authors semantically link scientific research events, entities and objects, and then, they construct the event space for supporting scientific and technical information analysis.

This paper represents scientific literature as events, which are coarse-grained units comparing with entities and relations in current information organizations. Events and semantic relations among them together formulate a semantic link network, which could support event-centric information browsing, search and recommendation.

The proposed model is a theoretical model, and it needs to verify the efficiency in further experimental application research. The evaluation and applications of semantic link network of scientific research events are further research issues.

This paper regards scientific literature as scientific research events and proposes an approach to semantically link events into a network with multiple-typed entities and relations. According to the needs of scientific and technical information analysis, scientific research events are organized into event cubes which are distributed in a three-dimensioned space for easy-to-understand and information visualization.

Science and technology policy plays an important role in promoting the development of economic and social development in China. At present, the research on science and technology policy is mainly focused on the basic theories and some quantitative research. The analyses for contents of massive science and technology policies are relatively less. This paper makes use of semantic technologies to extract and analyze the relatively important information from massive science and technology policies. The purpose of this paper is to facilitate users to quickly and effectively obtain valuable information from the massive science and technology policies. The key methods and study results are presented in the paper. The study results can provide references for further study and application in China.

The paper presented the analysis model and method for science and technology policy in China. The terms and sentences are the important information in the science and technology policy. The study adopted the technology of natural language processing to analyze the linguistics characteristics of terms and combined with statistical analyses to extract the terms from Chinese science and technology policy. Then, the authors designed an algorithm, calculated and analyzed the important sentences in Chinese science and technology policies. The experiments were run on the Java test platform.

This paper put forward the analysis model and method for science and technology policy in China. The study obtained the following conclusions: term extraction of science and technology policy: the paper analyzed characteristic of terms in Chinese science and technology policy and designed a method of extracting a term that was suitable for the science and technology policy. The calculation of important sentences for science and technology policy: the paper designed an algorithm and calculated the importance of the sentences to obtain valuable information from the massive science and technology policies.

In our methods, there are some defects to be improved or solved in the future. For example, the precision of algorithm needs to be improved. The significance of this paper is to propose and use the analysis model to process Chinese science and technology policy; we can provide an auxiliary tool to help policy beneficiaries. Enterprises and individuals can be more effective to extraction and mining information from massive science and technology policy and find the target policy.

To verify the effectiveness of the method, the paper selected the real policies about the new energy vehicles as experimental data; at the same time, the paper added uncorrelated policies. It used the proposed analysis model of science and technology policy to calculate and find out the relatively important sentences. The results of study showed that the proposed method can obtain better performance. It verified the validity of this method. The model and method have been applied to actual retrieval system.

The proposed model and method in the paper have been applied to actual retrieval system for users.

The paper proposed the new analysis model and method to analyze science and technology policies in China. The presented model and method are a new attempt. According to the experimental results, this exploration and study are valuable. In addition, the idea and method will give a good start for improving information services of massive science and technology policies in China.

This paper aims to investigate the high-temperature mechanical properties of HS110S steel and its corrosion behaviors in harsh downhole environment.

In this work, mechanical property measurements were carried out from 25°C to 350°C and the scanning electron microscopy was used to observe the fracture morphology. The weight-loss measurements and surface characterization were used to evaluate the corrosion resistance of HS110S steel in harsh downhole environment.

Results show that the yield strength and tensile strength of HS110S steel at 350 °C are 779 and 861 MPa, respectively. Compared with room temperature, the reduction rate values are both less than 20%. At the high-temperature corrosion environment (350 °C), the static and dynamic corrosion rates are 0.9668 and 1.9236 mm/a, respectively. The generated corrosion products are mainly composed of FeSx, FeCO₃ and Fe₃O₄. Therefore, the HS110S steel applied under such conditions needs to take suitable protective measures.

In general, the HS110 steel has widely used in conventional development conditions (e.g. low H₂S or high CO₂ environments). However, to the best of the authors’ knowledge, no studies have reported on its application at more than 250°C. Therefore, this work can be a reference to the application of HS110S steel in high-temperature corrosion conditions.

Optimization of the process parameters remains a challenging task in thermosonic wire bonding due to relatively poor understanding of the bonding mechanism. The purpose of this paper is to understand initial bond formation in thermosonic gold wire bonding on aluminium metallization pads and the effect of bonding time on the initiation of bonding.

A gold wire (20 μm diameter/99.99 per cent wt%) was bonded to aluminium metallization pads (1 μm thick) on a silicon chip using a commercial ball/wedge automatic bonder. Bonding parameters were selected specifically to produce underdeveloped ball bonds so that ball lift‐off occurred during looping process. The lift‐off footprints on the aluminium metallization pads and their evolution were carried out using optical microscopy and scanning electron microscopy. A model is proposed to elaborate the effect of bonding time on initiation of bonding.

The obtained results showed that metallurgical bonding initiated at the peripheral areas of the contact area situated along the direction of ultrasonic vibration. Those areas extended inwards with bonding time, eventually covering the entire contact area.

This paper describes how bond initiation and its evolution in thermosonic gold wire bonding on aluminium metallization is ascertained by observing lift‐off footprints. The understanding of bonding mechanism benefits the optimization of process parameters and improvement of bondability in thermosonic wire bonding.