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From a functionalist perspective, this study aims to examine empirically how positive and negative emotions can exert influence on creativity in the workplace. This study built and tested a theoretical framework that delineates the effect of emotions on employee creativity through different learning mechanisms.

Field surveys were conducted in a Chinese company and data were collected from 340 employee-supervisor dyads.

The results indicate that positive emotions were positively related to task-related learning and interactional learning, both of which promote employee creativity. Task-related learning mediated the association between positive emotions and creativity. Nevertheless, negative emotions hindered employees from interactional learning and were negatively associated with creativity. Interactional learning mediated the association between negative emotions and creativity. Moreover, the interaction between positive and negative emotions was negatively associated with task-related learning.

This study contributes to the literature on emotions and employee learning by demonstrating the value of using a functionalist perspective through different procedural mechanisms for employee outcomes and exploring the mediation effects of different learning behaviors in promoting creativity.

Since China initiated its “go global” policy that promotes its overseas investment, China’s Outward Foreign Direct Investment (OFDI) has increased almost twenty times during the last 10 years, reaching $55.9 billion in 2008. The issue of internationalization of Chinese OFDI has attracted increasing attention of researchers from a business perspective. This article systematically reviews the previous studies on overseas investments by Chinese MNEs and discusses the characteristics of Chinese internationalization behavior at both firm level and country level. The internationalization of Chinese companies cannot be understood as a simple game of “catch up” with established MNEs, and more firm‐level empirical studies should be carried out on how these characteristics influence firms’ strategic decisions.

The weld joint of large thin-wall metal parts which deforms in manufacturing and clamping processes is very difficult to manufacture for its shape is different from the initial model; thus, the space normals of the part surface are uncertain.

In this paper, an effective method is presented to calculate cutter location points and to estimate the space normals by measuring some sparse discrete points of weld joint. First, a contact-type probe fixed in the end of friction stir welding (FSW) robot is used to measure a series of discrete points on the weld joint. Then, a space curve can be got by fitting the series of points with a quintic spline. Second, a least square plane (LSP) of the measured points is obtained by the least square method. Then, normal vectors of the plane curve, which is the projection of the space curve on the LSP, are used to estimate the space normals of the weld joint curve. After path planning, a post-processing method combing with FSW craft is elaborated.

Simulation and real experiment demonstrate that the proposed strategy, which obtains cutter locations of welding and normals without measuring the entire surface, is feasible and effective for the FSW of large thin-walled complex surface parts.

This paper presents a novel method which makes it possible to accurately weld the large thin-wall complex surface part by the FSW robot. The proposed method might be applied to any multi-axes FSW robot similar to the robot studied in this paper.

The purpose of this paper is to provide the historical background of genealogical records and analyze the value of Chinese genealogical research through the study of names and genealogical resources.

The paper examines the historical evolution and value of Chinese genealogical records, with the focus on researching the Islamic Chinese names used by the people living in Guilin. The highlight of this paper includes the analysis and evolution of the Islamic Chinese names commonly adopted by the local people in Guilin. It concludes with the recommendations on emphasizing and making the best use of genealogical records to enhance the research value of Chinese overseas studies.

The paper covers the history of Islam and describes how the religion was introduced into China, as well as Muslims' ethnicity and identity. It also places focus on the importance of building a research collection in Asian history and Chinese genealogy.

This research study has a strong subject focus on Chinese genealogy, Asian history, and Islamic Chinese surnames. It is a narrow field that few researchers have delved into.

The results of this study will assist students, researchers, and the general public in tracing the origin of their surnames and developing their interest in the social and historical value of Chinese local history and genealogies.

The study of Chinese surnames is, by itself, a particular field for researching the social and political implications of contemporary Chinese society during the time the family members lived.

Very little research has been done in the area of Chinese local history and genealogy. The paper would be of value to researchers such as historians, sociologists, ethnologists and archaeologists, as well as students and anyone interested in researching a surname origin, its history and evolution.

This study proposes a multilevel framework to test the mechanisms and boundary conditions of the relationships between positive group affective tone (PGAT) and individual/team creativity.

Data are collected from 122 research and development (R&D) teams (including 305 members and 122 team leaders). Hierarchical linear modeling analyses and hierarchical regression analyses are performed to test hypotheses.

The results show that PGAT facilitates individual creativity via enhanced work engagement, and increases team creativity via team information exchange. Supporting the substituting perspective, we found that the positive indirect effects of PGAT on individual/team creativity were attenuated when supervisory support is high.

Although all variables were collected at the same time and the individual-level variables were collected from the same source, our findings highlight the mechanisms explaining the beneficial effects of PGAT on individual/team creativity, and how supervisory support can substitute for such effects.

In order to make the individuals and teams more creative, the organizations need to promote PGAT via the selection of appropriated leader and members or team social events. Moreover, supervisors support is particularly salient in enhancing team creativity when PGAT is low.

This study is the one of the first study to test the motivational/social mechanisms linking the relationship between PGAT and individual/team creativity, and the competing theoretical perspectives regarding how supervisory support can moderate the PGAT–creativity linkage.

Engineering design optimization involving computational simulations is usually a time-consuming, even computationally prohibitive process. To relieve the computational burden, the adaptive metamodel-based design optimization (AMBDO) approaches have been widely used. This paper aims to develop an AMBDO approach, a lower confidence bounding approach based on the coefficient of variation (CV-LCB) approach, to balance the exploration and exploitation objectively for obtaining a global optimum under limited computational budget.

In the proposed CV-LCB approach, the coefficient of variation (CV) of predicted values is introduced to indicate the degree of dispersion of objective function values, while the CV of predicting errors is introduced to represent the accuracy of the established metamodel. Then, a weighted formula, which takes the degree of dispersion and the prediction accuracy into consideration, is defined based on the already-acquired CV information to adaptively update the metamodel during the optimization process.

Ten numerical examples with different degrees of complexity and an AIAA aerodynamic design optimization problem are used to demonstrate the effectiveness of the proposed CV-LCB approach. The comparisons between the proposed approach and four existing approaches regarding the computational efficiency and robustness are made. Results illustrate the merits of the proposed CV-LCB approach in computational efficiency and robustness.

The proposed approach exhibits high efficiency and robustness in engineering design optimization involving computational simulations.

CV-LCB approach can balance the exploration and exploitation objectively.

Intelligent manufacturing has attracted extensive attention from national strategy, academic research and enterprises' practices. The purpose of this study is to investigate the influence of intelligent manufacturing on performance in manufacturing firms. Moreover, how intelligent manufacturing technology affects enterprise performance, this study provided a practice that can be replicated by other businesses.

This study uses text mining to collect the intelligence level of Chinese listed companies. It uses quantitative analysis to test the proposed model based on samples of 2,091 manufacturers.

Intelligent manufacturing has positive effect on short-term performance and long-term performance. Intelligent manufacturing can empower firms with ambidextrous capabilities, including exploit capability and explore capability. Exploit capability has positive effects on short-term performance and long-term performance. Explore capability has negative effects on short-term performance, but has positive effects on long-term performance.

On the theoretical side, it enriches the research framework between intelligent manufacturing and enterprise performance. This study explains the preconditions and results of ambidextrous capabilities. Moreover, based on the practice-based view (PBV), this study proposes that technologies can be used as strategies, filling a gap in the existing research on strategic management. On the practical side, how to quantify the intelligent manufacturing level of enterprises provides a certain reference. Also, this study provides an easy to imitate practice that can serve as a model for under-performing enterprises.

The purpose of this paper is to discuss nationalistic education in Hong Kong from a cultural perspective. It highlights the challenges faced by the Hong Kong Government and the growing antagonism and mistrust between the young generation and the government. The paper reviews the cultural policies adopted by the Western Zhou, Han and Tang dynasties in ancient China.

This paper adopts a historical approach by reviewing the policies in music and culture in the Chinese history and argues for the adoption of a soft approach to nationalistic education in Hong Kong.

Results show that being inclusive toward diverse cultures, trusting and valuing people’s voices and accepting differences of opinion are effective policies that were adopted by the respective dynasties. The results shed light on the possibility of nurturing nationalism through education in music and culture.

The historical examples mentioned in this paper are only selected periods of the Chinese history. Thus, the survey could not be taken as a comprehensive review.

This paper reviews the policies concerning music and culture in ancient China and argues for transferring the soft approach of predecessors toward these subjects as part of the nationalistic education of Hong Kong.

The results shown should be considered seriously by the Hong Kong Government as an effective substitute policy for the past stringent approach of implementing national education in Hong Kong. Nationalistic education focusing on music and culture is a common root for all Chinese and should be used in future to build up trust and common values between China and Hong Kong.

The originality of this research lies in its dealing with nationalism and national education, recommending a soft approach to education viewed through the prisms of music and culture.