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The paper proposes customer involvement can be considered an organization-level construct of knowledge creation in the new process development. Specifically, the paper evaluates three distinct organizational practices as knowledge antecedents – competitor orientation, social network and internal coordination – that can facilitate the adoption of customer involvement in the process innovation development.

The paper empirically tests this theory for 2,000 firms that are stratification sampled from a population of 33,844 Taiwanese firms, and a data set of 170 valid questionnaires is collected. The questionnaire was mainly modified from a Kim and Kim (2010) measure which was designed based on the 3rd edition of the Oslo Manual OECD/Eurostat 2005. The concept of customer involvement in new service development proposed by Alam (2002) was also applied to the questionnaire.

(1) The antecedents of customer involvement, which include competitor orientation, external social networks and internal coordination, function as a determinant to nourish customer involvement. (2) Customer involvement significantly positively mediates the relationship between knowledge antecedents and new process performance. (3) Customer involvement is a crucial knowledge creation for improving the new process innovation performance in manufacturing firms.

Two basic tenets of theory building serve as the foundation of the model in this paper. First, research on customer involvement is augmented by showing that customer involvement can emerge as a shared perception among organizational members that is distinct from individual-level involvement. Moreover, customer involvement in process innovation can help firms manage their knowledge and further enhance firm performance. Second, the knowledge management model provides a key lens through which researchers can take a process-oriented view that focuses on customer involvement as a unique capability that firms can develop in process innovation.

With the rapid development of the Chinese economy and society, the number of international schools in China has increased sharply. As a core part of school quality, the curriculum development in international schools is facing a series of challenges due to the changing requirements from both the government and the market. In order to better understand the current practices of curriculum development in these international schools in China, this study adopts Tyler’s and Gu’s curriculum theories to design a questionnaire to collect data from 104 international schools national-wide. In addition, a semi-structured interview for teachers and principals was also conducted in nine international schools in five different cities in China.

The findings show that most international schools aim at cultivating “global citizens” or “leaders and elites.” In China, most schools attach importance to foreign language teaching, and most courses are offered in English. Group work, inquiry and discussion, and project-based learning are frequently adopted in international schools. The findings also show there is a strong integration of “Chinese culture” and “global vision,” and schools generally try to balance the two aspects. Some schools rely heavily on foreign curriculum resources, and are in urgent need of capacity building in term of curriculum development based on Chinese policy, market demands and their school realities. Compared with developed countries, international schools in China endorse the new mission, mixing the requirements of modernization and globalization at the same time. Therefore, how to reconstruct a Chinese neo-modern curriculum system is the fundamental challenge for all international schools in China.

Faced with the outbreak of the pandemic, Chinese government quickly postponed the opening of schools and advocated “classes suspended but learning continues” project through online learning. In order to understand the teaching effect of online learning and explore a possible transformation of the application of educational information technology in the future, questionnaires have been used in this study to collect data of students, principals, and teachers across China. Most students and principals are satisfied with online learning, while teachers suggest that it is considerably difficult to teach online. Meanwhile, students, schools, and teachers are facing problems, including insufficient adaptation to online learning methods, poor learning quality, imperfect information infrastructure, insufficient learning resources, and so on. Based on the results, the authors propose to explore systematic solutions to guarantee a fair and high-quality development of online teaching. For one thing, the whole education system must ensure the fairness of learning conditions, encourage all-round development, and promote school–home cooperation. For another thing, it is necessary to clarify the connotation of online learning, guarantee the construction of information infrastructure, provide training in information technology and classroom management capabilities, and improve the evaluation system of online learning activities.

The purpose of this paper is to examine how offline brand trust moderates: the relationship between consumers' general attitude toward the internet and their perceptions of the quality of a retailer's web site and the relationship between their perceived web site quality and intention to shop from the web site.

Two hundred young female consumers participate in the study. Each selected one of three pre‐determined apparel retailer brands that she has either had experience with or are familiar with. Participants are then asked to keep their selected retailer in mind when completing an online questionnaire. They are also asked to browse the retailer's web site in search of a shirt or blouse. Factor and multiple‐regression analyses are conducted to test hypotheses.

Offline brand trust exerted a significant moderating effect in the relationship between the efficiency factor of attitude toward the internet and the usability and information quality factor of web site quality. Offline brand trust also played a moderating role in the relationship between the interactivity factor of web site quality and online shopping intention. Implications for multi‐channel apparel retailers are discussed.

While a great deal of research has been conducted to study brand trust, most has focused on product brands not on retail brands. Furthermore, none of the studies on brand trust has questioned nor investigated the moderating role of retail brand trust in the relationship between consumer characteristics and their attitudes and behaviors toward the company's new business format. This paper seeks to contribute to the extant literature on brand trust and multi‐channel retailing by exploring the role of offline brand trust in shopping at a multi‐channel retailer's web site.

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.

The purpose of this paper is to briefly summarize and review the theories and methods of complex structures’ dynamic reliability. Complex structures are usually assembled from multiple components and subjected to time-varying loads of aerodynamic, structural, thermal and other physical fields; its reliability analysis is of great significance to ensure the safe operation of large-scale equipment such as aviation and machinery.

In this paper for the single-objective dynamic reliability analysis of complex structures, the calculation can be categorized into Monte Carlo (MC), outcrossing rate, envelope functions and extreme value methods. The series-parallel and expansion methods, multi-extremum surrogate models and decomposed-coordinated surrogate models are summarized for the multiobjective dynamic reliability analysis of complex structures.

The numerical complex compound function and turbine blisk are used as examples to illustrate the performance of single-objective and multiobjective dynamic reliability analysis methods. Then the future development direction of dynamic reliability analysis of complex structures is prospected.

The paper provides a useful reference for further theoretical research and engineering application.

The purpose of this paper is to tackle a satellite module layout design problem (SMLDP). As a complex engineering layout and combinatorial optimization problem, SMLDP cannot be solved effectively by traditional exact methods. Although evolutionary algorithms (EAs) have shown some promise of tackling SMLDP in previous work, the solution quality and computational efficiency still pose a challenge. This paper aims to address these two issues.

Scatter search (SS) and a cooperative co‐evolutionary architecture are integrated to form a new approach called a cooperative co‐evolutionary scatter search (CCSS). The cooperative co‐evolutionary architecture is characterized by the decomposition and cooperation for dealing with complex engineering problems. SS is a flexible meta‐heuristic method that can effectively solve the combinatorial optimization problems. Designing the elements of SS is context‐dependent. Considering the characteristics of SMLDP, our work focuses on two folds: the diversification method, and the reference set update method. The diversification method is built on the method of coordinate transformation and the controlled randomness. The reference set is updated by the static method on the basis of two dissimilarities. Two test problems for circles packing illustrated the capacity of SS. However, when solving SMLDP, SS shows some limitations in the computational time and quality. This study adopts divide‐conquer‐coordination strategy to decompose SMLDP into several layout sub‐problems. Then CCSS is applied to cooperatively solve these sub‐problems. The experimental results illustrate the capability of the proposed approach in tackling the complex problem with less computational effort.

Applying CCSS to SMLDP can obtain satisfying solutions in terms of quality and computational efficiency. This contrasts with the limiting experimental results of SMLDP with some approaches (including modified SS).

A new CCSS is proposed to provide an effective and efficient way of solving SMLDP. Some elements of SS are improved to address the layout problem. SMLDP is decomposed into several sub‐problems that can be solved cooperatively by CCSS after its characteristics are taken into consideration.

Currently, lubrication analysis of piston ring is generally done under engine rated operating condition. However, the engine (such as the vehicle engine) does not always operate in rated operating condition, and its operating condition changes frequently in actual use. In addition, the lubrication status of piston ring is generally assumed as the flooded lubrication or a certain form of poor lubrication in most of the lubrication analysis.

In this paper, based on the equations about the flow rate of lubricating oil and the variation of control volume, the flow model of lubricating oil in the piston ring-cylinder liner conjunction is established. The lubrication analysis of piston ring for a four-stroke engine under different engine operating conditions is done, in which the lubricating oil at the inlet of piston ring is considered as the lubricating oil attached on the relevant location of cylinder wall after the piston ring moves over at the previous stroke.

There is remarkable difference for the lubrication characteristics of the piston ring under different engine operating conditions. The worst lubrication status of piston ring may not take place under engine rated operating condition.

In this paper, based on the measured engine cylinder pressure, the lubrication analysis of piston ring for a four-stroke engine under different engine operating conditions is done in which the lubricating oil supply condition at the inlet of piston ring is considered. The results of this paper are helpful for the design and research of engine piston ring-cylinder liner conjunction.