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Building on theories of inter-organizational knowledge flows and social network, we explored how two types of collaboration network embeddedness (NE) (i.e. structural embeddedness (SE) and relational embeddedness (RE)) drive firms' inbound and outbound open innovation (OI) practices from a knowledge flow perspective, and further examined these relationships are to what extent contingent on network inertia (NI).

In this empirical research, the authors collected a sample of patents in the unmanned aerial vehicle (UAV) industry over the period of 2000–2018. Then the authors examined the direct roles of SE and RE in collaboration networks on firms' inbound and outbound OI practices from a knowledge flow perspective, and the moderating role of NI by using negative binomial regression.

Empirical results from our study of 96 firms showed that both bridging structural holes position in collaboration networks (i.e. SE) and having stronger tie strength (i.e. RE) would positively affects firms' inbound OI practices, whereas only having stronger tie strength in collaboration networks (i.e. RE) would facilitate outbound OI practices. In addition, NI strengthens the relationships between SE and firm OI practice, but weakens the positive roles of RE on firm OI practice.

This empirical research provides new insights into whether and how firms can grasp the benefits of collaboration NE to conduct OI activities by exploring NI contingencies. It further sheds lights on the scope of the NE–OI issue from a knowledge flow perspective by extending its research context to UAV industry.

The purpose of this paper is to analyze the inverted U-shaped relationship between external search in the collaboration network and firm innovation outcomes. It also seeks to explore whether these curvilinear relationships are moderated by the network centrality and structural holes in the knowledge network.

In this empirical research, the authors collected a sample of patents in the smartphone industry over the period of 2000-2017. Then the authors examined the direct roles of external search breadth and depth in the collaboration network and the moderating role of network embeddedness in the knowledge network by using negative binomial regression.

Results found that external search in the collaboration network contributes more to firm innovation outcomes when the breadth and depth of the external search are moderate rather than high or low. Furthermore, both network centrality and structural holes in the knowledge network have positive effects on the external search breadth – innovation outcomes and external search depth – innovation outcomes relationships.

The authors collected the patent data within the single industry and excluded other types of industries. This may limit the generalization of the findings.

The paper has practical implications for adopting appropriate search strategies in the collaboration network and developing a better understanding of the effect of network embeddedness in the knowledge network on firm innovation outcomes. The findings suggest future directions for technology-intensive industries to improve their innovation output.

This study adds value to open innovation literature by pointing out a curvilinear relationship (inverted U-shaped) between external search breadth/depth and innovation outcomes in collaboration networks, in contrast to studies focused on firms’ external collaboration strategies in a certain industry context. Furthermore, this study reinforces the key contingent role of embeddedness in knowledge networks. This study provides a valuable theoretical framework of innovation outcome determinants by connecting the network perspective of open innovation theory with an embeddedness view.

This paper aims to analyze the extent to which the influence of external knowledge search activities on firms’ incremental innovation capability, and the moderating roles of the relatedness between the partners’ technological bases and a firm’s network embeddedness in the innovation network.

In this empirical research, the authors collected a sample of patents in the UAV industry over the period of 2004–2018. Then the authors examined the direct role of external knowledge search on firms’ incremental innovation capability and the joint moderating effects of technological proximity and network embeddedness.

We found that external knowledge search in innovation networks positively affects firms’ incremental innovation capability. Moreover, we discovered that high technological proximity to other peers positively strengthens the impact of firms’ external knowledge search on their incremental innovation capability. Finally, the findings suggested that the relationship between a firm’s external knowledge search activities and its incremental innovation capability is stronger for high technological proximity coupled with high network centrality or poor structural holes in innovation networks.

This study adds value to open innovation literature by pointing out a positive relationship between external knowledge search and firm incremental innovation capability. Furthermore, this study reinforces the key joint contingent roles of technological proximity and network embeddedness. This study provides a valuable theoretical framework of incremental innovation capability determinants by connecting the different perspectives.

This paper aims to propose the following questions: How do structural network embeddedness influence firms’ incremental innovation capability? Does technology cluster moderate the relationships between them?

In this empirical research, the authors collected a sample of patent data in the smartphone industry over the period of 2000-2018. Then, the authors examined the direct roles of structural network embeddedness on firms’ incremental innovation capability and the moderating role of technology cluster by using ordinary linear squares regression.

The empirical results show that occupying the central position positively affects firms’ incremental innovation capability, and clustering strengthens this linear relationship. Furthermore, bridging structural holes has an inverted U-shaped effect on incremental innovation capability, and clustering positively moderated this nonlinear relationship, while bridging ties across different clusters plays a negative moderation role in this relationship.

This empirical research provides new insights into whether and how firms can grasp the benefits of structural network embeddedness to conduct incremental innovations and the moderation effects of technology cluster contingencies. It further contributes to the structural network embeddedness–incremental innovation capability issue by extending its research context to the smartphone industry.

The demanding nature of construction industry poses serious health risks to construction workers. In recent years, construction health management (CHM) has gained much attention to ensure a healthier and safer workplace. However, there is still lack of a systematic review to bring together the disaggregated studies and determine the development status of this research field. As essential for addressing health issues in construction industry, a bibliometric and content-based review on of previous CHM studies would be presented in this paper.

In total, 753 journal articles published in Web of Science core collection from 1990 to 2020 were examined using a systematic review. Bibliometric analysis concentrated on the analysis of publication and citation pattern of CHM research while content analysis was employed to identify main health hazards, levels of analysis and topical focuses.

The results indicated that the USA was the leading country in this research domain. Five health hazards together with 17 research topics at different levels of analysis were classified to allow researchers to track the structure and temporal evolution of the research field. Finally, three emerging trends and a set of research agenda were proposed to guide future research directions.

It is the first to highlight the issues of occupational health management from the perspective of construction workers. It contributes to the field of construction health management by clarifying the knowledge structure, emerging trends and future research directions. It offers valuable guidance and in-depth understanding to researchers, practitioners and policymakers to further promote construction workers' health performance.

The purpose of this paper is to analyze the impact of inbound open innovation and organizational inertia on radical innovation capability (RIC). It also seeks to explore whether the existence of organizational inertia has a moderating effect and influence on the relationship between inbound open innovation and RIC.

In this empirical research, the authors collected sample of patents in smart phone industry over the 2000-2016 period. Then, the authors examined the direct roles of inbound open innovation and organizational inertia, and the moderating role of organizational inertia by using hierarchical regression analysis.

Results found that cognitive inertia (CI) has a positive influence on firms’ RIC, but network inertia (NI) has a negative influence on RIC. CI also has a significant moderating effect on the relationship between inbound open innovation and RIC, but NI only has a significant moderating effect on the relationship between open search breadth and RIC. Inbound open innovation directly affects RIC.

The authors collected the patent data of this study within the single industry and excluded other types of industries. And it may limit the generalization of the findings.

The paper includes implications for adopting an appropriate open search strategy and developing a better understanding of organizational inertia on firms’ radical innovation behavior. The findings suggest future directions to technology intensive industries for improving their RIC.

This study contributes to the relationship between organizational inertia and RIC within the framework of inbound open innovation.

Crowdsourcing communities enable companies to post challenges that are completed by solvers (workers); their success depends on engagement, requiring both creativity and effort. This study explores solver engagement in online crowdsourcing communities, advancing the theory of trait engagement by investigating the mediating roles of: (a) task-related self-efficacy in linking conscientiousness, neuroticism and extraversion, with solver engagement, and (b) task complexity in influencing the mediation.

215 valid responses were obtained from solvers engaged in the popular Chinese crowdsourcing community, Epwk.com, using an online questionnaire. PLS was then used to analyze the data.

Results show that self-efficacy mediates the relationships for conscientiousness, neuroticism and extraversion, with solver engagement. Moderated mediation analysis revealed that self-efficacy mediates the relationships for: (a) conscientiousness and extraversion, for only solvers with high task complexity; and (b) neuroticism, for only solvers with low task complexity.

The authors’ findings underscore the importance of accounting for solvers' situational contexts when examining the relationships between personality, self-efficacy and solver engagement in online crowdsourcing communities.

Due to the different actual construction conditions in different cities, the requirements for community livability may also differ due to different geographical locations and urban construction priorities. The research system in this paper can be applied to study similar old communities in old urban areas. The indicator system would need to be adjusted in different places, based on specific construction situations and higher planning requirements. This process would provide valuable insights for effective construction projects that support the livability of the old communities.

Based on sustainable and people-oriented development principles, this study considered the development of old urban communities during today’s rapid urban renewal and development. Using previous literature and related research experience, this study established an evaluation indicator system to assess the livability of old urban communities. Based on the local resident experience and satisfaction, the study investigated current weaknesses in the construction of livable old urban communities and developed corresponding recommendations for reform based on these. The goal was to provide guidance and recommendations for renewing old communities in during urban development and further promote the sustainable development of the city.

Based on the people-oriented principle and focusing on old urban communities as the research object, this study constructed an evaluation indicator system to evaluate the livability of urban old communities. The goal was to identify the weaknesses in the construction of old urban communities, with a focus on livability. Using the Bei’anmen community in Nanjing as a case study, the AHP method and fuzzy comprehensive evaluation method were applied to evaluate the overall target level and specific indicators, with the goal of assessing the level of livability in the Bei’anmen community.[AQ2] The results show that the livability of the Bei’anmen community is “very poor,” with significant room for improvements in community livability. This study also proposed corresponding measures for improving problems related to livability in the old urban community. Establishing the indicator system may help evaluate the livability of similar old communities in Nanjing and the same types of old communities in other cities. Understanding the overall livability of communities under construction can help identify weaknesses in other own construction approaches and may inform appropriate steps to improve the sustainable construction of the community in the wave of continuous urban renewal. This may realize the further development of livability in the community.

The community is an integral part of the city and strengthening the community’s civilization can support a harmonious and stable social environment. In constructing livable communities, improving the community civilization can promote social progress and civilization, promote social harmony and support the harmonious and sustainable development of communities. To strengthen the construction of a livable community, it is important to apply a residential perspective and provide a good platform for managing community participation and interaction. This may include organizing community-level cultural activities and strengthening communication between residents to increase the residents’ affection for the community. This would enhance the residents’ sense of belonging, forming a harmonious and stable atmosphere of community life, mutual help and mutual tolerance.

People with autism and their families struggle with travel because of its complexity. This study aims to promote travel participation by exploring the travel needs and patterns of people with autism and their families.

A total of 28 participants were interviewed. Data were analyzed via constructivist grounded theory.

People with autism and their families displayed five travel patterns: mutual support, relatives’ visitation, independent travel, expanded socialization and package tours. These patterns were adopted in a stepwise fashion as the autistic individuals’ abilities improved. The travel challenges and support needs of Chinese autistic people and their families were identified.

The findings can inform accessibility tourism, promote an understanding of autistic people’s tourism activities among the public and industry marketers and offer strategic guidance about family travel for this population.

This effort responds to a call to investigate disability-related issues. The study evaluated the travel behavior of people with autism and their families, from a developmental perspective, presenting a new angle in research on accessibility tourism.

The purpose is to explore the essential reasons for the differences between book awakening phenomena, to develop the critical factors in awakening the slumbering collections and to provide a reliable basis for maximizing book value and optimizing collection allocation.

The research employs the integrated learning algorithm XGBoost to measure driving factors. In the process of book circulation, the characteristics of collections and readers are worthy of attention. Therefore, this study also carries out feature selection and model construction from the two dimensions of books and readers.

The results show that reader features have a stronger impetus for the collection awakening phenomenon than collection features. Among reader features, education level, gender and major subject are the main factors, which are followed closely by the activity level; among collection features, publication date and price are the main driving factors. The indicators of book popularity are not significant, whose effect on the phenomenon of collection awakening is almost negligible.

This study aims to augment the theory of zero circulation from the theoretical level and, for the first time, seeks to define the phenomenon of collection awakening. This study attempts to present novel ideas for research in the field of libraries and to provide references for optimizing collection and maximizing the value of books.