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The purpose of this study is to provide a micro-nano chip automatic alignment system. Used for micron and nanometer channel alignment of microfluidic chip.

In this paper, combined with the reconstructed micro–nanoscale Hough transform theory, a “clamp–adsorb–rotate” chip alignment method is proposed. The designed alignment system includes a microscopic identification device, a clamping device and a suction device. After assembly, the straightness of the linear slide rail in the horizontal and vertical directions was tested, respectively. The results show that in the horizontal and vertical directions, the linearity error of the linear slide is +0.29 and 0.30 µm, respectively, which meets the requirement of chip alignment accuracy of 15 µm. In the direction of rotation, the angular error between the microchannel and the nanochannel is ±0.5°. In addition, an alignment flow experiment of the chip is designed. The results demonstrate that the closer the angle between the microchannel and the nanochannel is to 90°, the fluid fills the entire channel. Compared with the conventional method, the method and the assembly system realize fully automatic double-layer chip alignment.

A mechanical device designed by Hough transform theory can realize microfluidic chip alignment at nanometer and micron level.

The automatic alignment device adopts Hough transform principle and can be used for microfluidic chip alignment.

This study aims to understand how product attributes (object stimuli), social influences (social-psychological stimuli) and internal factors (internal stimuli) contribute to Chinese Generation Z’s purchase intentions (responses) for new Chinese style apparel (NCSA) through NCSA attitudes (cognitive state) and cultural pride (affective state) based on the stimulus-organism-response (S-O-R) model.

Data were collected from 989 respondents aged between 18 and 29 years through self-administrated questionnaires via a professional survey panel, Credamo, in China. Data were analyzed using structural equation modeling.

Results showed that among the seven stimuli, NCSA’s design, online social networking communities, cultural identity and personal norms significantly influenced Generation Z’s purchase intentions through both NCSA attitudes and cultural pride. Further, NCSA’s cultural connotations and celebrity influences elicited purchase intentions merely through the affective state – cultural pride. In contrast, NCSA’s functionality did not have a significant influence on NCSA attitudes and adversely affected cultural pride.

This study fills the research gap and extends the application of the S-O-R model within the NCSA context. The findings of this study shed light on the practical implications for marketers, brands and policymakers with regard to a better understanding of Chinese Generation Z’s NCSA consumption.

In line with the theory of planned behavior, this study aims to examine the mediating effect of cultural identity and role identity between relational capital and adaptive behavior, and the moderating effect of willingness to learn.

Data were collected from 241 Chinese expatriates in Latin America through a two-wave survey.

The findings indicate that expatriates’ perceived relational capital can promote adaptive behaviors by enhancing their cultural identity and role identity. Willingness to learn positively moderates the indirect effects of relational capital on adaptive behaviors through cultural identity and role identity. For expatriates with a high willingness to learn, the impact of relational capital on their adaptive behaviors through cultural identity and role identity is stronger.

This study extends empirical research on expatriate adaptation. Organizations should promote the accumulation of expatriates’ relational capital while they are working abroad. Meanwhile, willingness to learn should be considered as a criterion when selecting expatriates.

This paper aims to investigate the impact of exploratory innovation on the quality of new product development (NPD), and how do polychronicity of the top management team (TMT) and interfunctional coordination (IFC) moderate the above relationship.

The hypotheses were tested by the survey data of 210 Chinese enterprises. Hierarchical regression analyzes were used to test the hypotheses in this research.

The results indicate that exploratory innovation facilitates NPD quality. TMT polychronicity weakens the effect of exploratory innovation on NPD quality. IFC strengthens the effect of exploratory innovation on NPD quality.

This study provides managers with insight on the relationship between exploratory innovation and NPD quality. To improve NPD quality, managers should be paying more attention to exploratory innovation. Furthermore, this study helps managers to understand how the relationship changes with the increases of TMT polychronicity and IFC.

This study highlights the value of exploratory innovation in increasing NPD quality based on the knowledge-based view. By incorporating TMT polychronicity and IFC based on the attention-based view, it offers much richer understandings of how exploratory innovation affects NPD quality.

Aluminum nitride (AlN) ceramics are suitable substrate and package materials for high-power integrated circuits.

Dense AlN ceramics with Y₂O₃ and LaF₃ as sintering additives are prepared. The effects of these additives on the density, phase composition, microstructure and thermal conductivity of AlN ceramics are investigated.

Results show that 2 Wt.% Y₂O₃-doped additive is insufficient for the samples to achieve the full densification sintered at 1,700°C. When LaF₃ is added with Y₂O₃, the samples are perfectly densified at the same sintering condition. The relative density and thermal conductivity of the samples are 97.8-99.07 per cent and 169.104-200.010 W·m-1·K-1, respectively. The density of the samples and their microstructure, especially the content and distribution of secondary phases, is necessary to control the thermal conductivity of AlN ceramics.

Y₂O₃ and LaF₃ additives can effectively promote densification and enhance the thermal conductivity of AlN ceramics in a low sintering temperature, and the AlN ceramics added with Y₂O₃-LaF₃ might have potential applications in package materials for high-power integrated circuits.

How is strategic consensus formed in top management team (TMT)? Prior literature provides inadequate evidence. A few scholars explore its antecedents from some perspectives (e.g. organizational or team structure) to address this gap but yield confusing results. This study aims to clarify the mechanism to reach TMT strategic consensus and explore both the effect of collective team identification and information elaboration.

Stepwise regression analysis is applied to explore the formation process of strategic consensus by using data collected from 126 TMTs of Chinese firms.

Results show that collective team identification has a positive effect on TMT strategic consensus, whereas information elaboration has a U-shaped effect. Further, the U-shaped relationship between information elaboration and TMT strategic consensus is strengthened by collective team identification.

This study provides a nuanced explanation of the antecedents of strategic consensus in TMT by exploring the effects of collective team identification and information elaboration. Particularly, this study proposes a U-shaped relationship between information elaboration and strategic consensus, which enriches TMT decision-making literature and consensus research. Moreover, by examining the moderating effect of collective team identification, this study articulates why TMT members fail to achieve strategic consensus even when they have sufficiently discussed the task-relevant information.

The purpose of this paper is to develop a pertinent design optimization methodology for symmetric designs of a metamaterial (MM) unit.

A cell division mechanism is introduced and used to design a new selecting mechanism in the proposed algorithm, a non-dominated sorting cellular genetic algorithm (NSCGA).

The numerical results on solving standard multi-objective test functions and a prototype MM unit positively demonstrate the advantages of the proposed NSCGA.

A new NSGAII-based optimization algorithm, NSCGA, for multi-objective optimization designs of a MM unit is proposed.

The objective of this study is to improve the food supply chain performance taking into consideration the fundamental concepts of traceability by combining the current frameworks, its principles, its implications and the emerging technologies.

A narrative literature review of already existing empirical research on traceability systems was conducted resulting in 862 relevant papers. Following a step-by-step sampling process, the authors ended up with 46 final samples for the literature review.

The main findings of this study include the various descriptions of the architecture of traceability systems, the different sources enabling this practice, the common desirable attributes, and the enabling technologies for the deployment and implementation of traceability systems. Moreover, several technological solutions are presented, which are currently available for traceability systems, and finally, opportunities for future research are provided.

It provides an insight, which could affect the implementation process of traceability in the food supply chain and consequently the effective management of a food traceability system (FTS). Managers will be able to create a traceability system, which meets users' requirements, thus enhancing the value of products and food companies.

This study contributes to the food supply chain and the traceability systems literature by creating a holistic picture of where something has been and where it should go. It is a starting point for each food company to design and manage its traceability system more effectively.

Top management team (TMT) serves as the critical designer of a firm’s business model, whose cognition exerts key influence on business model design (BMD). Drawing insights from the managerial cognition and knowledge-based views, this paper aims to examine the effect of TMT transactive memory system on BMD and investigate how the relationship between TMT transactive memory system and BMD is contingent upon the firm’s strategic orientation.

Survey data collected from 210 Chinese firms was used to test the research hypotheses through multivariate regression analysis.

This paper reveals that TMT transactive memory system facilitates novelty- and efficiency-centered BMD. Furthermore, both differentiation orientation and cost leadership orientation can strengthen the effect of TMT transactive memory system on novelty-centered BMD; the impact of TMT transactive memory system on efficiency-centered BMD is weakened by differentiation orientation but strengthened by cost leadership orientation.

This paper adds to the business model literature by unraveling the effect of TMT transactive memory system on BMD, which not only enriches the internal cognitive antecedents of BMD but also provides an in-depth understanding of how TMTs can use their knowledge structure to proactively design a certain business model. Moreover, this paper also offers insights into how TMTs can better use transactive memory system to design business models according to the specific strategic orientation.

How do firms make effective strategic change when competitive advantage deteriorates fast in a dynamic environment? Based on information-processing theory and organizational inertia theory, the purpose of this paper is to investigate how bottom-up learning affects the speed and magnitude of strategic change and if these relationships are contingent on strategic flexibility.

Using data of 213 firms in China, the authors conduct an empirical test of hypotheses through a stepwise multivariate regression approach.

The empirical study suggests that resource flexibility weakens the positive relationship between bottom-up learning and the speed of strategic change while strengthens the impact of bottom-up learning on the magnitude of strategic change. In addition, coordination flexibility strengthens the positive impact of bottom-up learning on the speed and magnitude of strategic change.

The findings not only provide a more nuanced and in-depth understanding of strategic change, but also offer strong guidance for firms on how to make better use of strategic flexibility in order to benefit from bottom-up learning.