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Project conflicts are inevitable. Megaproject conflicts need to be managed across different levels. The purpose of this study is to investigate the role of individual-level regulatory focus and organization-level team mindfulness in managing megaproject conflicts.

By combining the individual motivation basis and organizational background of conflict resolution, this study constructed a multi-level structural equation model. The hypothesis is tested based on data collected from 182 respondents.

The findings of this study show that project manager's promotion focus has a direct positive effect on task conflict and a negative effect on relationship conflict. Prevention focus has a positive effect on relationship conflict and a negative effect on task conflict and process conflict. Team mindfulness has a negative effect on relationship conflict and process conflict and a positive effect on task conflict. Task conflict was negatively affected by the interaction between team mindfulness and promotion focus. The interaction between team mindfulness and prevention focus had a positive effect on relationship conflict.

This study verifies the positive role of project manager's promotion focus and prevention focus in conflict management and clarifies the strengthening role of team mindfulness in constructive conflict and the prevention role in destructive conflict. This study also confirms that team mindfulness can act as a reinforcement and complementary factor of regulatory focus in megaproject conflict, contributing to the current understanding of the project manager's role in megaproject mindfulness contexts.

This paper aims to provide a new perspective in investigating how internal research and development (R&D) and external knowledge acquisition interact regarding their influence on innovation performance in an emerging market context. Building on an attention-based view (ABV), it argues that internal R&D and external knowledge acquisition can be substitutes for each other in emerging markets. Its contingency factors are also discussed according to the principles of the ABV.

The proposed hypotheses were empirically tested using a Tobit model approach. The data used was from the enterprise survey and the follow-up innovation survey conducted by the World Bank in 10 emerging market countries.

The results indicate that internal R&D and external knowledge acquisition entails a substitute effect among emerging market firms (EMFs). A higher level of manager’s open-mindedness to external knowledge and firm performance and a lower level of firm administrative control help mitigate the substitute effect of internal R&D and external knowledge acquisition. While adequate financial resources may not necessarily mitigate the substitute effect, it is an essential condition for the external knowledge acquisition to play a role in enhancing innovation performance.

The research uses a set of cross-sectional data. A dynamic study will provide a deeper understanding of the long-term effects of innovation investments.

To better use innovation investments, EMFs need to assess their specific conditions and the possible substitute effect of internal R&D and external knowledge acquisition activities.

Previous research discussing the interactive effect of internal R&D and external knowledge acquisition has mostly focused on an absorptive capacity perspective, which represents a firm’s technical ability. This study argues that these investments not only involve in absorbing knowledge technically but also form a challenge for the limited firm resources and can cause cognitive problems in management, especially for EMFs.

This study aims to investigate the influence of digital transformation on the overall financial performance of firms, with a specific focus on Chinese-listed companies from 2010 to 2021. It seeks to understand the impacts on various accounting and financial indicators in emerging economies such as China.

This study employs a text-mining approach to construct a digital transformation index based on the data sample of 11,814 firm-year observations from China’s A-share listed companies. This index serves as a proxy to measure the extent of digital transformation and its impact on financial performance and health.

The findings indicate that digital transformation significantly enhances overall financial performance and health, as evidenced by increased profitability, reduced operational costs, and lowered financial risks. The study reveals a time-lagged effect, where the benefits of digital transformation become more apparent after about one year. Further analysis shows that the value of digital transformation is more evident in a firm’s asset items. This raises the possibility of recognising the by-product, such as data resources, in the digital transformation process.

This research offers a unique contribution by linking digital transformation to financial performance using a large dataset from China's A-share listed firms. Doing so enhances our understanding of the tangible effects of digital transformation on corporate performance. Furthermore, this research provides valuable insights for the advancement of future accounting practices and the development of standards.

Virtual maintenance simulation is of great importance to help designers find and avoid design problems. During its simulation phase, besides the high precision requirement, collision detection must be suitable for all irregular objects in a virtual maintenance environment. Therefore, in this paper, a collision detection approach is proposed based on encapsulation for irregular objects in the virtual maintenance environment.

First, virtual maintenance simulation characteristics and several commonly used bounding boxes methods are analyzed, which motivates the application of encapsulation theory. Based on these, three different encapsulation methods are oriented to the needs of simulation, including encapsulation of rigid maintenance objects, flexible maintenance objects and maintenance personnel. In addition, to detecting collisions accurately, this paper divides the detection process into two stages. That is, in the first stage, a rough detection is carried out and then a tiny slice space is constructed to generate corresponding capsule groups, which will be redetected in the secondary stage. At last, several case studies are applied to illustrate the performance of the methodology.

The automatic construction algorithm for bounding boxes can be adapted to all forms of objects. The number of detection primitives are greatly reduced. It introduces the reachable space of the human body in maintainability as the collision search area.

The advantages of virtual maintenance simulation could also be advantageous in the industry with further studies. The paper believes this study is of particular interest to the readers of your journal.

We are interested in modeling the impact of spatial and interindustry dependence on firm-level innovation of Chinese firms The existence of network ties between cities imply that changes taking place in one city could influence innovation by firms in nearby cities (local spatial spillovers), or set in motion a series of spatial diffusion and feedback impacts across multiple cities (global spatial spillovers). We use the term local spatial spillovers to reflect a scenario where only immediately neighboring cities are impacted, whereas the term global spatial spillovers represent a situation where impacts fall on neighboring cities, as well as higher order neighbors (neighbors to the neighboring cities, neighbors to the neighbors of the neighbors, and so on). Global spatial spillovers also involve feedback impacts from neighboring cities, and imply the existence of a wider diffusion of impacts over space (higher order neighbors).

Similarly, the existence of national interindustry input-output ties implies that changes occurring in one industry could influence innovation by firms operating in directly related industries (local interindustry spillovers), or set in motion a series of in interindustry diffusion and feedback impacts across multiple industries (global interindustry spillovers).

Typical linear models of firm-level innovation based on knowledge production functions would rely on city- and industry-specific fixed effects to allow for differences in the level of innovation by firms located in different cities and operating in different industries. This approach however ignores the fact that, spatial dependence between cities and interindustry dependence arising from input-output relationships, may imply interaction, not simply heterogeneity across cities and industries.

We construct a Bayesian hierarchical model that allows for both city- and industry-level interaction (global spillovers) and subsumes other innovation scenarios such as: (1) heterogeneity that implies level differences (fixed effects) and (2) contextual effects that imply local spillovers as special cases.

This paper aims to automatically generate load shedding sequences due to insufficient power supply, to ensure flight safety and complete flight task.

In this paper, a power allocation and load management model, including logical and physical submodels of the distribution system, is first established according to different requirements of the loads in different flight phase and the current total power supply. Then, an optimal load management scheme based on an improved ant colony algorithm is proposed to automatically generate load shedding sequences for both safety-critical and nonsafety critical loads, to achieve a reliable and safe power supply.

To verify the efficiency and feasibility of the algorithm, the proposed method is verified in a virtual simulation platform. Simulation result illustrates that the proposed algorithm is efficient and feasible.

The proposed method can provide guidance on load power supply when the civil aircraft is under abnormal power supply situation.

An optimal load management scheme is proposed by considering different requirements of the loads in different flight phase and the current total power supply.

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies. Universities have gradually become the core of the knowledge production system and, therefore, their role regarding innovation has become more important and diversified. This study is aimed at identifying the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

This study is aimed at identifying, based on a systematic literature review, the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

The analysis of the 72 selected articles enabled identifying 15 mechanisms of U–I collaboration, proposing a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process.

In this paper, the authors screened nearly 1,500 papers and analyzed in detail 86 papers addressing U–I collaboration, mechanisms of U–I collaboration and operationalization steps of the U–I collaboration process. This paper provides a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process. This research contributes to both theory and practice by highlighting managerial aspects and stimulating academic research on such timely topic.