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In the context of fixed-wing aircraft wing assembly, there is a need for a rapid and precise measurement technique to determine the center distance between two double-hole components. This paper aims to propose an optical-based spatial point distance measurement technique using the spatial triangulation method. The purpose of this paper is to design a specialized measurement system, specifically a spherically mounted retroreflector nest (SMR nest), equipped with two laser displacement sensors and a rotary encoder as the core to achieve accurate distance measurements between the double holes.

To develop an efficient and accurate measurement system, the paper uses a combination of laser displacement sensors and a rotary encoder within the SMR nest. The system is designed, implemented and tested to meet the requirements of precise distance measurement. Software and hardware components have been developed and integrated for validation.

The optical-based distance measurement system achieves high precision at 0.04 mm and repeatability at 0.02 mm within a range of 412.084 mm to 1,590.591 mm. These results validate its suitability for efficient assembly processes, eliminating repetitive errors in aircraft wing assembly.

This paper proposes an optical-based spatial point distance measurement technique, as well as a unique design of a SMR nest and the introduction of two novel calibration techniques, all of which are validated by the developed software and hardware platform.

With the rapid development of internet technology, open online social networks provide a broader platform for information spreading. While dissemination of information provides convenience for life, it also brings many problems such as security risks and public opinion orientation. Various negative, malicious and false information spread across regions, which seriously affect social harmony and national security. Therefore, this paper aims to minimize negative information such as online rumors that has attracted extensive attention. The most existing algorithms for blocking rumors have prevented the spread of rumors to some extent, but these algorithms are designed based on entire social networks, mainly focusing on the microstructure of the network, i.e. the pairwise relationship or similarity between nodes. The blocking effect of these algorithms may be unsatisfactory in some networks because of the sparse data in the microstructure.

An algorithm for minimizing the influence of dynamic rumor based on community structure is proposed in this paper. The algorithm first divides the network into communities, and integrates the influence of each node within communities and rumor influence probability to measure the influence of each node in the entire network, and then selects key nodes and bridge nodes in communities as blocked nodes. After that, a dynamic blocking strategy is adopted to improve the blocking effect of rumors.

Community structure is one of the most prominent features of networks. It reveals the organizational structure and functional components of a network from a mesoscopic level. The utilization of community structure can provide effective and rich information to solve the problem of data sparsity in the microstructure, thus effectively improve the blocking effect. Extensive experiments on two real-world data sets have validated that the proposed algorithm has superior performance than the baseline algorithms.

As an important research direction of social network analysis, rumor minimization has a profound effect on the harmony and stability of society and the development of social media. However, because the rumor spread has the characteristics of multiple propagation paths, fast propagation speed, wide propagation area and time-varying, it is a huge challenge to improve the effectiveness of the rumor blocking algorithm.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

Drawing on social information processing theory and trait activation theory, this study aims to examine the mediating effect of leader narcissism on team radical creativity via team information elaboration and explores the moderating role of inter-team competition.

Time-lagged and multisource survey data were collected from 86 team leaders and 409 employees in a Chinese company. Path analysis was used to test the hypotheses.

The results indicated that leader narcissism could impede team radical creativity via team information elaboration. Moreover, the negative indirect effects of leader narcissism on team radical creativity were more pronounced when the inter-team competition was low.

This study makes contributions to the literature on leader narcissism and team radical creativity by examining the detrimental indirect effects of leader narcissism on team radical creativity via team information. Furthermore, it broadens current literature by investigating the potential positive intervention of inter-team competition on the negative aspects of leader narcissism.

Grounded in the structural and relational inertia literature, this paper aims to investigate how two types of founding conditions – prior state ownership and a founder’s state career history – may individually and interactively affect the resource acquisition and organizing capability of firms.

This study uses a unique, large-scale survey of 480 manufacturing firms in China.

The findings show that prior state ownership is positively related to a firm’s resource acquisition, and the founder’s state career history moderates the relationship between prior state ownership and a firm’s organizing capability such that a founder with a state career history can help a privatized firm overcome its structural inertia and achieve superior organizing capabilities. However, it is found that a founder’s state career history is not associated with a firm’s resource acquisition or organizing capability.

First, this study is cross-sectional. Second, this paper refocuses on Chinese manufacturing firms in two regions only. Third, the authors do not have information on how long founders had been in state sector. Fourth, the measure of resource acquisition and organizational capability is a self-reported perceptual measure.

First, this study suggests that founders’ state career history does not benefit firms in resource acquisitions. Once founders do not work for government organizations, they can lose the associated resource benefits. The founders may have to actively maintain their historical connections with the current government officials to continue to receive various information and resource benefits. Second, this study indicates that it is possible for privatized firms to have resource acquisition advantages resulting from their historical heritage and at the same time overcome the inferior organizing capabilities from their histories by having a founder with a prior state career history. Such founders tend to have the ability to overcome the unfavorable imprinting effect of previous histories and to help private firms develop better strategies and structures to fit the dynamic and competitive environment.

This study indicates that it is possible for state-owned enterprises to become efficient if they can employ capable managers with superior managerial skills.

Current literature on the effect of government affiliations on firm behavior and outcomes typically focuses on existing government affiliations and their benefits on a firm’s economic and information resources, legitimacy and new venture performance. This study is one of the first to examine how historical government affiliations may affect both the resource acquisition and organizing capability of a firm. In addition, existing studies have rarely studied simultaneously how a firm’s and a founder’s historical government affiliations may independently and interactively affect a firm’s ability to acquire resources and develop capabilities critical for a firm’s performance and survival. This study fills this gap.

This study aims to assess how firm functional capability moderates the relationship between two types of open innovation and performance, with a special focus on the role of technological capability and the join effect market information management capability. This paper develops and tests a research model, which assesses how the performance implications of two open innovation forms are shaped by the technological capability and how such an effect is contingent on market information management capability.

Survey data were collected from 238 Chinese high-tech enterprises. Structural equation modeling and linear regression were used to test the data. Then, the main research questions were answered.

Empirically results show that technological capability strengthens the influence of inbound open innovation on firm performance. However, the moderate effect of technological capability on the relationship between outbound open innovation and firm performance remains unsupported. A higher technological capability with a high level of market information management capability increases the efficacy of outbound open innovation in gaining superior performance. Additional analysis shows that when firms implement inbound activities and possess a strong technological capability, they will achieve higher performance if they possess a moderate level of market information management capability, compared with a high or low level.

This paper provides new evidence on the benefits of different open innovation strategies on firm’s performance and, more importantly, the specific firm-level contingencies (technological capability and market information management capability) under which these benefits are more likely to be enhanced. It clarifies what the capabilities are and how they interact to foster the robust open innovation strategies, which sheds new light on the boundary conditions that affect the open innovations–firm performance relationship.

Based on dual organizational theory, the purpose of this paper is to examine the relationship between transformational leadership and innovative behavior in groups. The authors proposed that group innovative behavior was influenced by transformational leadership as a group-level construct which was moderated by dual organizational change that represent organization-level resources. Furthermore, the authors identified two organizational change-related situational variables-radical change and incremental change and examined their effects on group innovative behavior.

The authors collected data from full-time employees working in groups in 43 companies, located in five cities in China including Beijing, Yantai, Chengdu, Xi’an, and Chengde. These enterprises were from a wide range of industries, including manufacturing, financing, information technology, and geological exploration. The authors chose a middle- or senior-level manager from each company to act as chief survey respondent, who were asked to contact managers and employees from a list they had provided and invite them to participate in a web-based survey (via an e-mailed link) or a paper-and-pencil survey. A total of 192 managers and 756 direct subordinates from 112 groups completed the survey.

Results found that transformational leadership was positively related to group innovative behavior, and this relationship was moderated by radical change, but not incremental change; radical change and incremental change were also positively related to group innovative behavior.

This study adopts a cross-sectional study design, which is insufficient for deriving causal inferences. Future research may adopt a longitudinal study design to investigate causal impacts. Besides, some unmeasured variables could be related to transformational leadership and innovative behavior.

The paper includes implications for adopting appropriate leadership style to motivate innovative behavior, promoting dual organizational change to boost innovative behavior, and generating greater innovative behavior for transformational leaders in times of radical change.

This cross-level study contributes to the relationship between transformational leadership and group innovative behavior in the context of dual organizational change.

The purpose of this paper is to examine whether the new distributed leadership patterns is an important driver for innovating business model. By synthesizing insights from the dynamic capabilities perspective, it also explores how and when distributed leadership enhances the business model innovation (BMI) by involving strategic flexibility as a mediator and environmental dynamism as important contingency.

A survey via questionnaire was conducted with 262 CEOs and 262 senior managers from Chinese high-tech companies that provided the research data. Structural equation modeling and linear regression analyses were used to test the time-lagged data, and then the main research questions were responded to.

The analysis reveals that distributed leadership has a significant direct influence on BMI, and that distributed leadership also indirectly affects BMI by enhancing strategic flexibility. Environmental dynamism strengthens the positive effect of distributed leadership on BMI under strategic flexibility.

This paper advances and enriches the emerging stream of BMI research. It presents an innovative conceptual analysis of the antecedents of BMI, and it shows a possible solution for BMI that complements extant research that considers which and how the leadership style of the organizations affects the business model change.

Although perceived risk and usefulness have been identified as two major factors that influence consumer acceptance of an innovative mobile payment (m-payment), relatively few researchers have explored the impact of affective factors on perceived risk and usefulness, and the relationship between perceived risk and usefulness. Also, it is unclear whether there is a difference in the acceptance intention among users across different diffusion stages of this innovation. The purpose of this paper is to investigate the role of positive emotion in consumer acceptance of WeChat payment across time.

This study proposed and validated a framework integrating the consumer response system model and the affect heuristic. A total of 484 valid responses were collected through two online surveys at two diffusion stages of WeChat payment technology. The structural equation modeling and multigroup analysis were used to test the hypotheses.

The results show that users’ acceptance intention is relatively related to perceived risk, perceived usefulness, and positive emotion. Positive emotion has a strong negative impact on perceived risk and a positive impact on perceived usefulness. Also, perceived usefulness strongly decreases users’ perception of risk. Multigroup analyses find that both positive emotion and perceived risk have significant positive and negative impacts on acceptance intention at the stage of market introduction rather than market growth. Rather, the influence of positive usefulness on acceptance intention is significantly higher at the stage of market growth than at market introduction.

This study indicates that exploring the role of positive emotion and the moderating effect of diffusion stages in m-payment acceptance provides a more comprehensive understanding of how to achieve a greater acceptance rate of an innovative m-payment.