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Article
Publication date: 3 October 2022

Mingkang Zhang, Meizhen Xu, Jinwei Li, Wenqing Shi and Yangzhi Chen

This study aims to explore the compressive behavior of hollow triply periodic minimal surface (HTPMS) cellular structures by selective laser melting (SLM).

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Abstract

Purpose

This study aims to explore the compressive behavior of hollow triply periodic minimal surface (HTPMS) cellular structures by selective laser melting (SLM).

Design/methodology/approach

This study presents a design method for gyroid hollow triply periodic minimal surfaces (G-HTPMS) and primitive hollow triply periodic minimal surfaces (P-HTPMS) cellular structures, and SLM technology was applied to manufacture these cellular structures. Compressive behaviors and energy absorption behaviors of hollow cellular structures were researched in this study.

Findings

Compared with normal gyroid triply periodic minimal surfaces (G-TPMS) and normal primitive triply periodic minimal surfaces (P-TPMS), the G-HTPMS and P-HTPMS have higher elastic modulus, plateau stress and effective energy absorption under uniaxial compression. The hollow design in HTPMS can enhance the mechanical properties and energy absorption of the cellular structure. Finite element analysis also demonstrates that the hollow design can reduce stress concentration, which improved the compressive curves from a severely fluctuating state to a relatively flat state and reduces fracture. According to compressive behaviors, G-TPMS and G-HTPMS are the bending-dominated cellular structures with strain hardening characteristics, and P-TPMS and P-HTPMS are the stretching-dominated cellular structures with strain softening characteristics.

Originality/value

This research provided a design method for HTPMS, and it was proved that the mechanical properties increased by hollow design inspired by bamboo.

Details

Rapid Prototyping Journal, vol. 29 no. 3
Type: Research Article
ISSN: 1355-2546

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Article
Publication date: 25 September 2019

Liangxing Shi, Xinying Yao and Wenqing Wu

The study clarifies the relationship between students’ perceptions of university support and heterogeneous entrepreneurial intentions in the Chinese context. It proposes a new…

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Abstract

Purpose

The study clarifies the relationship between students’ perceptions of university support and heterogeneous entrepreneurial intentions in the Chinese context. It proposes a new construct with the classification of growth- and independence-oriented intentions and examines the moderating role of the Chinese sense of face. This study aims to enrich entrepreneurship education research by incorporating cultural factors.

Design/methodology/approach

The study uses a questionnaire survey to examine the research hypotheses. Further, the authors collected data from 374 students from Mainland China and applied a regression analysis.

Findings

The study clarifies the positive relationship between perceived university support and growth-oriented/independence-oriented entrepreneurial intentions. Further, it proposes the differences in the moderating role of the Chinese sense of face in the relationships between entrepreneurial self-efficacy and growth- and independence-oriented intentions.

Research limitations/implications

Because of the chosen method, the study results may lack generalizability. Hence, future studies are encouraged to test the proposed hypotheses.

Practical implications

The study results have important implications for entrepreneurship education development.

Social implications

The study is conducted against the background of the “mass entrepreneurship and innovation” policy in China and combines country-specific characteristics to enrich entrepreneurial education and social entrepreneurship.

Originality/value

This study fulfills the intention to examine the influence of cultural factors on entrepreneurship education and identify the heterogeneous entrepreneurial intentions in a single construct.

Details

Journal of Entrepreneurship in Emerging Economies, vol. 12 no. 2
Type: Research Article
ISSN: 2053-4604

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Article
Publication date: 15 June 2023

Wenqing Zhao, Yan Jin and Elise Karinshak

This study aims to examine the effects of risk disclosure and call to action (i.e. encouraging individuals to consult a health provider before they make any purchase decision) on…

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Abstract

Purpose

This study aims to examine the effects of risk disclosure and call to action (i.e. encouraging individuals to consult a health provider before they make any purchase decision) on young adults’ cognitive and behavioral responses to dietary supplement advertising.

Design/methodology/approach

A 2 (risk disclosure: absence vs presence) × 2 (call to action: absence vs presence) between-subjects online experiment was conducted with 124 college-attending young adults.

Findings

Including risk disclosure in probiotic supplement advertising increased young adults’ perceived message credibility, intentions to ask a medical doctor and sense of confidence in decision-making. The addition of call to action in probiotic supplement advertising improved perceived message credibility, trust in advertised brand, favorable attitude toward brand, intention to ask a medical doctor and purchase intention; however, a significant joint effect was not found between risk disclosure and call to action.

Originality/value

Although risk disclosure and call to action are significant techniques in pharmaceutical and health-care marketing, they have been overlooked by both research and practice of dietary supplement marketing. This study closes this gap by providing empirical evidence to generate a clear idea about the benefits of including risk disclosure and call to action in dietary supplement advertising.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. 17 no. 3
Type: Research Article
ISSN: 1750-6123

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Article
Publication date: 21 October 2020

Xiwang Xiang, Xin Ma, Minda Ma, Wenqing Wu and Lang Yu

PM10 is one of the most dangerous air pollutants which is harmful to the ecological system and human health. Accurate forecasting of PM10 concentration makes it easier for the…

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Abstract

Purpose

PM10 is one of the most dangerous air pollutants which is harmful to the ecological system and human health. Accurate forecasting of PM10 concentration makes it easier for the government to make efficient decisions and policies. However, the PM10 concentration, particularly, the emerging short-term concentration has high uncertainties as it is often impacted by many factors and also time varying. Above all, a new methodology which can overcome such difficulties is needed.

Design/methodology/approach

The grey system theory is used to build the short-term PM10 forecasting model. The Euler polynomial is used as a driving term of the proposed grey model, and then the convolutional solution is applied to make the new model computationally feasible. The grey wolf optimizer is used to select the optimal nonlinear parameters of the proposed model.

Findings

The introduction of the Euler polynomial makes the new model more flexible and more general as it can yield several other conventional grey models under certain conditions. The new model presents significantly higher performance, is more accurate and also more stable, than the six existing grey models in three real-world cases and the case of short-term PM10 forecasting in Tianjin China.

Practical implications

With high performance in the real-world case in Tianjin China, the proposed model appears to have high potential to accurately forecast the PM10 concentration in big cities of China. Therefore, it can be considered as a decision-making support tool in the near future.

Originality/value

This is the first work introducing the Euler polynomial to the grey system models, and a more general formulation of existing grey models is also obtained. The modelling pattern used in this paper can be used as an example for building other similar nonlinear grey models. The practical example of short-term PM10 forecasting in Tianjin China is also presented for the first time.

Details

Grey Systems: Theory and Application, vol. 11 no. 3
Type: Research Article
ISSN: 2043-9377

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Article
Publication date: 2 August 2024

Liangliang Liu, Miaomiao Lv and Wenqing Zhang

The purpose of this paper is to analyze whether and how intergovernmental fiscal transfers (IFTs) affect technological innovation.

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Abstract

Purpose

The purpose of this paper is to analyze whether and how intergovernmental fiscal transfers (IFTs) affect technological innovation.

Design/methodology/approach

China’s provincial panel data from 2007 to 2019 are used in an empirical study to examine the effect of IFTs on technological innovation and the role of fiscal spending policy in the relationship between the two by using the spatial Durbin model.

Findings

Results show an evident spatial correlation for the effect of IFTs on technological innovation, indicating that IFTs have a significant negative influence on technological innovation in local and surrounding regions. IFTs also inhibit technological innovation by negatively affecting science and technology spending and education spending.

Research limitations/implications

These findings can aid policymakers in advancing technological innovation by improving the system of fiscal transfers and optimizing the structure of fiscal spending.

Originality/value

Although the determinants of technological innovation have been analyzed, no studies have investigated the effect of IFTs on technological innovation. Thus, this paper aims to address this gap.

Details

Chinese Management Studies, vol. 19 no. 2
Type: Research Article
ISSN: 1750-614X

Keywords

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Article
Publication date: 12 September 2023

Mimi Li, Wenqing Xu, Weiwei Liu and Huiyi Cao

This study aims to explore the patterns and transformational dynamics of the executive–interpreter network in the innovation processes of small- and medium-sized enterprises in…

483

Abstract

Purpose

This study aims to explore the patterns and transformational dynamics of the executive–interpreter network in the innovation processes of small- and medium-sized enterprises in hospitality.

Design/methodology/approach

Grounded in social network theory and adopting a case-based approach, this study features a multi-case design focusing on three Chinese boutique hotels. Data were collected through Web page and document reviews, participant observations and semistructured interviews.

Findings

Results capture how executive–interpreter network dynamics contribute to innovation in small- and medium-sized hotels. Key factors in social networks (e.g. size, scope and strength) shift throughout innovation. This study presents a design-driven approach as a means of innovation. Findings also delineate the network development conditions under which innovation dynamically occurs in boutique hotels.

Practical implications

Practical implications center on how network dynamics help small- and medium-sized hotels innovate more effectively. These insights can assist hotel operators and prospective market entrants in improving their hotels’ performance and competitiveness.

Originality/value

This study blends social network theory with a design-driven approach to explore innovation mechanisms in small- and medium-sized hotels. It offers empirical evidence for practitioners regarding design-driven innovation. Findings enrich the body of knowledge on both design-driven innovation theory and hospitality innovation.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 2
Type: Research Article
ISSN: 0959-6119

Keywords

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