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This paper points out new directions for the deepening and broadening of the institution-based view, by drawing on three streams of research with which I have been involved recently: (1) outward foreign direct investment from emerging economies, (2) bankruptcy laws and entrepreneurship development, and (3) institution-based research focusing on Africa. Such deepening has been accomplished by enhancing our institution-based understanding of foreign direct investment with a focus on emerging multinationals, while broadening has been done both substantively by probing into the impact of bankruptcy laws on entrepreneurship development around the world and geographically by calling for enhanced research attention on Africa via an institution-based lens.

In order to effectively promote the deep integration of artificial intelligence and the real economy and empower real enterprises to improve quality and efficiency, this study regards the CEO as a high-end innovation resource and aims to empirically test the impact of scholar-type CEOs on the industrial artificial intelligence (AI) transformation of manufacturing enterprises.

Grounded on the upper echelons theory, this paper preliminarily selects A-share manufacturing listed companies in Shanghai Stock Exchange and Shenzhen Stock Exchange that are affiliated to enterprise groups from 2014 to 2020 as samples. Furthermore, the Logit regression is conducted to analyze the influence of scholar-type CEOs about industrial AI transformation.

The results show that scholar-type CEO plays a significant role in promoting industrial AI transformation. The parent-subsidiary corporations executives' ties positively moderates the impact of scholar-type CEOs on industrial AI transformation. Further, internal control quality plays a partial mediating role between scholar-type CEOs and industrial AI transformation. Compared with private enterprises, scholar-type CEOs play a stronger role in promoting industrial AI transformation of state-owned enterprises.

First, this paper expands the research related to the influencing factors of industrial AI transformation based on upper echelons theory and clarifies the influencing mechanism of scholar-type CEOs affecting industrial AI transformation from the perspective of executives' behavior. Second, this study further enriches the research framework on the economic consequences of scholar-type CEOs and provides a useful supplement to the research literature in the field of upper echelons theory. Third, this paper is not limited to a single enterprise but involves the management practice of resource allocation within the enterprise groups, further clarifies the internal logic of the decision-making of industrial AI transformation of listed companies within the framework of enterprise groups, providing theoretical reference for the scientific design of the governance mechanism of parent-subsidiary companies.

The purpose of this paper is to investigate the explosive performance and explosion damage mechanism of T-beam bridge structure.

On the basis of the existing specification, two T-beam bridge models were designed and fabricated. Test specimens of different explosive dosage and different blast height were carried out. The mechanical process, failure mode, blast damage model, damage identification mechanism and blast evolution law and quantitative evaluation were taken into account.

The results revealed that the web plate fracture failure is the key to the unstable failure of the whole T-beam bridge. The explosion failure phenomenon and blast damage evaluation criterion of RC T-beam bridge was divided into five stages: the original cracks stage of concrete material (D = 0 ∼ 0.1), the fractures initiation stage of concrete material (D = 0.1 ∼ 0.3), the stable expansion stage of cracks in concrete material (D = 0.3 ∼ 0.55), the unstable expansion stage of cracks in concrete material (D = 0.55 ∼ 0.8), the explosion fracture of steel bars and the overall instability and damage of the bridge (D = 0.8 ∼ 1.0), which can also be described as basically intact, slight damage, moderate damage, severe damage and collapsed.

The research result will provide basis for the antiknock evaluation and damage repair technical specifications of the RC T-beam bridge.

The research results of damage evaluation serve as a basis for damage repair and reinforcement of bridge structures after explosion.

This study focuses on understanding how channel features can affect people's intention to continue to use an electronic channel in public affairs and their recommendation behaviors. Specifically, three different channels are focused on: email, microblogs and online meetings.

A research model on an e-participation channel based on the channel-disposition framework was developed and an online survey was conducted to collect data from 397 individuals who used three e-participation channels to validate seven hypotheses.

The study found that information quality, channel interaction quality and the social appearance of other citizens all had a significant impact on users' intention to continue to use an electronic channel, which, in turn, affected their recommendation behaviors. However, the impact differed across the three e-participation channels. Information quality had a stronger impact on microblog and online meeting users' intention to continue to use these channels than on email users' intention to continue using email to participate in public affairs. Channel interaction quality had a stronger impact on email users' intention to continue to use email than on microblog and online meeting users' intention to continue to use these channels in public affairs.

This study helps better explain how various channels and their features can affect participants' use intentions and behaviors in e-participation. It also provides practical guidance for government to better manage e-participation channels and effectively engage citizens in public affairs.

China has climbed from 22nd in the Global Innovation Index Rankings in 2017 to 11th in the 2022 due to the transition of its manufacturing firms from assemblers to system integrators. This paper examines how firms can enhance their innovation capability through inbound and outbound open innovation.

This paper applies both open innovation and a knowledge-based view and proposes a conceptual framework that encompasses innovation capability and the significance of tacit knowledge acquisition. A questionnaire was designed to collect relevant data from 139 Chinese manufacturing firms in six regions to test this framework.

The authors found that inbound open innovation has a stronger impact than outbound open innovation on synergistic innovation capability. The acquisition of skill-based tacit knowledge has a slightly stronger intermediary role between open innovation (no matter inbound or outbound) and synergistic innovation capability than cognitive tacit knowledge does.

Firms should improve external tacit knowledge acquisition efforts to generate new knowledge, inspire the innovation passion of employees and implement ambidextrous open innovation.

This paper makes a good first step to analyze the effect of ambidextrous open innovation on the synergistic innovation capability of Chinese manufacturing firms. It verifies the role of skill-based and cognitive tacit knowledge acquisition and provides new reflections on open innovation strategy in emerging economies, thus enriching open innovation and knowledge-based theories.

The purpose of this study is to understand how IT capabilities for knowledge management and process integration can build a firm's agile process capabilities for sensing, strategic decision and responding. The study also investigates how the three agile capabilities affect firm performance in different competitive environments.

This study conducted a large-scale field survey with firms in the United States. Survey invitations were sent to business executives of the target firms. A total of 254 complete samples were collected for our hypotheses test.

The results confirm the overall significant roles of IT capabilities in the three agile capabilities. The results further reveal that the IT capability for knowledge management has a higher influence on sensing capability, while the IT capability for process integration has a higher influence on responding capability. Moreover, strategic decision and responding capabilities are more important in the high market competition. However, in the low market competition, sensing capability becomes more important while responding capability demonstrates a negative impact on firm performance.

This study helps both academics and practitioners better understand a firm's IT-agility-performance mechanism. Particularly, our findings guide how to achieve agile capabilities and what to focus on under the different levels of market competition.

The purpose of this paper is to propose a DC-port voltage balance strategy realizing it by logic combination modulation (LCM). This voltage balance strategy is brief and high efficient, which can be used in many power electronic devices adopting the cascaded H-bridge rectifier (CHBR) such as power electronic transformer (PET).

The CHBR is typically as a core component in the power electronic devices to implement the voltage or current conversion. The modulation method presented here is aiming to solve the voltage imbalance problem occurred in the CHBR with more stable work station and higher reliability in ordinary operating conditions. In particular, by changing the switch states smoothly and quickly, the DC-port voltage can be controlled as the ideal value even one of the modules in CHBR is facing the load-removed problem.

By using the voltage balance strategy of LCM, the problem of voltage imbalance occurring in three-phase cascaded rectifiers has been solved properly. With the lower modulation depth, the efficiency of the strategy is shown to be better and stronger. The strategy can work reliably and quickly no matter facing the problem as load-removed change or the ordinary operating conditions.

The limitation of the proposed DC-port voltage balance strategy is calculated and proved, in a three-module CHBR, the LCM could balance the DC-port voltage while one module facing the load-removed situation under 0.83 modulation depth.

This paper provides a useful and particular voltage balance strategy which can be used in the topology of three-phase cascaded rectifier. The value of the strategy is that a brief and reliable voltage balance method in the power electronic devices can be achieved. What is more, facing the problem, such as load-removed, in outport, the strategy can response quickly with no switch jump and switch frequency rising.

The purpose of this study is to investigate the influence of groove shape on the hydrodynamic characteristics of a journal bearing.

The computational fluid dynamics model also takes into account the cavitation phenomena and thermal effect, which can illustrate the lubrication performance of a journal bearing.

The hydrodynamic simulations of the journal bearing with the different groove shapes are conducted under different operation conditions.

Based on the numerical analysis, the suggestions are presented for groove shape selection and can be used to the design of a journal bearing under the extreme operation condition.

In order to more accurately predict the dynamics of the e-commerce market and increase the comprehensive value of the circular e-commerce industry, proposes to use Grey system theory to analyze the circular economy of the e-commerce market.

Construct a Grey system theory model, analyze the big data of e-commerce and circular economy of the e-commerce market and predict the development potential of China's e-commerce market.

The results show that the Grey system theory model can play an important role in the data analysis of circular economy of the e-commerce market.

Use Grey model to analyze e-commerce data, discover e-commerce market rules and problems and then optimize e-commerce market.

Current virtual simulation platforms provide various tools to generate non-immersive simulation processes purposefully in different domains. The generated simulation processes are adopted for analysis, presentation, demonstration and verification. In the virtual maintenance domain, this intuitive and visual method has benefitted product maintainability design and improvement. Generating an ideal and reasonable non-immersive virtual maintenance simulation is always time-consuming because of the complicated human operations and logical relationships involved. This study aims to propose a semiautomatic approach to increase efficiency in non-immersive virtual maintenance simulation implementation.

The methodology analyzes the general catalogs of common maintenance tasks and explores the corresponding secondary development approaches of simulation tools that can achieve motion simulation in virtual environments, by focusing on the diversity, complexity and uncertainty in non-immersive virtual simulation process generation. Afterward, a single virtual human motion can be generated by controlling the parameters and indices of the simulation tools. Subsequently, all of the generated single motions are connected logically to simulate the entire maintenance process.

Instead of selecting various tools, such as that in a traditional method, the proposed methodology analyzes and integrates the necessary basic parameters considering the characteristics of virtual maintenance simulation for a target maintenance activity.

The user can control the predefined parameters to generate the simulation combining several other simple operations in virtual environments. Consequently, the methodology decreases simulation tool selection and logic consideration and increases efficiency to a certain extent in non-immersive virtual maintenance simulation generation.