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This study analyzes in-depth how knowledge-intensive small and medium-sized enterprises (SMEs) can achieve higher new product development (NPD) process performance in the epidemic era and examine the internal development mechanism of knowledge-intensive SMEs in the process of continuous digital transformation.

This issue is tested with partial least squares on data collected via a survey conducted from November 2021 to February 2022. The sample comprises 487 knowledge-intensive SMEs operating in China.

The results indicate that one form of cross-functional ambidexterity, market development strategy (MDS), plays an important role in process performance from an inside-out financial perspective and an outside-in customer perspective. Simultaneously, product innovation efficiency (PIE) mediates the relationship between MDS and the above results. Big data analytics capabilities (BDACs) positively regulate the relationship between MDS and PIE.

The authors do not consider other contingency factors. Future research should introduce influential factors such as leadership and competitive intensity to further distinguish the effects of MDS on NPD process performance.

The study findings offer suggestions to help knowledge-intensive SME managers better manage their NPD process by making better use of their limited resources in developing countries such as China.

This study is one of only a few to adopt a process-oriented perspective to specifically examine how one form of cross-functional ambidexterity, MDS, impacts knowledge-intensive SME process performance in the epidemic era. This study also extends the theoretical framework of cross-functional ambidexterity to BDAC research.

Sodium alginate (Na-Alg) is a natural polysaccharide with a rich and renewable production that is widely used in the food, pharmaceutical and daily necessities industries, among other fields. The purpose of this study is to obtain a green and degradable shape memory material, calcium alginate (Ca-Alg) film was prepared and the mechanical properties, the shape memory effect of the film were investigated and confirmed.

The Ca-Alg films were prepared by Na-Alg, calcium chloride (CaCl₂) solution, and flow extension method. Dissolve sodium alginate powder, remove bubbles, pour into petri dish, dry at 60°C, add calcium chloride solution cross-linking and finally dry naturally. The effect of CaCl₂ solution concentration on the mechanical properties of the films were investigated and discussed by universal tensile tester. The shape memory behavior and degradation performance of thin films were verified and studied by the fold-deploy shape memory test and soil embedding method, respectively.

The Ca-Alg films exhibited good mechanical and shape memory properties, with a 72.2% shape memory fixity ratio and a 92.3% shape memory recovery ratio, respectively. For a period of 120 days, the film treated with a 6 wt% CaCl₂ solution degraded at a rate of approximately 53%.

Shape memory polymers (SMPs) as intelligent materials are an important research direction for the development of modern high-tech materials. On the other hand, plastic pollution is a major problem today; as a result, preparing green degradable SMPs is essential.

This study synthesized transparent and degradable shape memory Ca-Alg films using Na-Alg and CaCl₂ solution and the flow extension method.

The purpose of this paper is to propose a complex network model which can study the specified objects in a complex system within which the number of agents is fixed while the interactions and the outside environments are evolving with time.

The complex network model is analyzed by the master equation method and the rigorous four‐step statistical test is applied to test whether the degree distribution in the real world fits power law or not.

By theoretical analysis, the vertex degrees of the model follow power law distribution p(k)∼k⁻² which is different from that of the Barabási‐Albert model. By empirical research, the result shows that the citations of papers published in 2001 on the small‐world networks follow a power law distribution which is tested by the statistical test.

The small sample and short evolving time may cause some deviation from the theoretical expectation.

This evolving complex network model with fixed number of vertices and the statistical test process for power‐law will have a great significance for the theoretical and empirical study on complex networks.

This paper presents a new model of evolving complex networks which can be used to analyze the specified objects in a dynamic system and a quantitative method for power law test.

This study aims to examine how entrepreneurial orientation affects new venture performance in a dynamic environment. The authors examine whether entrepreneurial bricolage and opportunity recognition mediate the effect of entrepreneurial orientation on new venture performance and whether environmental dynamics moderate the above effects.

This study uses questionnaires to collect data. The sample includes responses of managers from 274 new Chinese ventures. Regression analysis and bootstrapping are used to test the hypotheses.

Entrepreneurial bricolage and opportunity recognition play mediating roles between entrepreneurial orientation and new venture performance. Environmental dynamism positively moderates the relationship between opportunity recognition and new venture performance.

In a dynamic environment, new ventures should strengthen their entrepreneurial orientation, which would gradually improve their performance by improving their entrepreneurial bricolage and opportunity recognition ability.

This study innovatively explains the relationship between entrepreneurial orientation and new venture performance from the perspectives of “flexible solutions to current problems” and “discovering and grasping potential new opportunities.” It does so by using the concepts of entrepreneurial bricolage and entrepreneurial opportunity identification in the context of a dynamic environment.

A city is a spatial carrier of innovation activities. Improving the level of urban innovation can play a significant supporting role in building an innovative country. China began to implement the innovative city pilot policy in 2008 and continued to expand the policy into more areas for exploring the path of innovative urban development with Chinese characteristics and improving urban innovation.

Based on mechanism analysis, this paper used the panel data of 269 cities from 2003 to 2016 to empirically test the effect of the pilot policy on the level of urban innovation by using different methods, such as the difference-in-differences model.

The results show that the innovative city pilot policy significantly improves the level of urban innovation. However, according to the findings of the heterogeneity analysis, the effect of the pilot policy on improving the innovation level in direct-controlled municipalities, provincial capitals and sub-provincial cities is weaker than that in ordinary cities, and the effect of the pilot policy on improving the innovation level in cities with a higher quality of science and education resources is weaker than that in cities with lower quality of science and education resources.

Moreover, as the level of urban innovation increases, the effect of the pilot policy on improving the level of urban innovation is an asymmetric inverted V shape, which means the effect is first strengthened and then weakened. The research also finds that the locational heterogeneity of the pilot policy for improving the level of urban innovation is not notable. In addition, the innovative city pilot policy can strengthen the government's strategic guidance, promote the concentration of talent, incentivize corporate investment and optimize the innovation environment, having a positive impact on urban innovation. Moreover, the effect of concentration of talent and the effect of corporate investment incentive are the important reasons for the pilot policy to promote the improvement of the level of urban innovation.

I aimed to obtain a deeper insight into the link between supplier involvement in product development (SIPD), supplier relationship resilience and company performance.

To collect data, a survey among 500 Polish manufacturing companies was conducted. I used quantitative methods (structural equation modeling) to test several research hypotheses referring to a single supplier–customer relationship. Thanks to the use of multi-construct measurement of SIPD and supplier relationship resilience, the study provides detailed research results on the topic.

Collaborative practices implemented during SIPD increase procurement flexibility and decrease redundancy in the relationship with the involved supplier. Communication during SIPD increases supplier flexibility and procurement flexibility. Increased supplier flexibility and increased procurement flexibility in the relationship with the involved supplier as well as collaborative practices during SIPD positively impact company performance. I confirmed the indirect effect between communication during SIPD and company performance when the mediators are supplier flexibility and procurement flexibility. Decreased redundancy in relationship with involved supplier does not impact company performance.

Supply chain managers need to rethink SIPD practice to effectively ensure supply chain resilience (SCRES), especially in the face of the contemporary global crisis and black swans affecting the supplier base. My article provides important managerial insights into drivers of SCRES and company performance.

To the best of my knowledge, this research is among the first to conclude that SIPD does not have an unequivocally positive or direct impact on supplier relationship resilience. The research fills the gap by analyzing the impact of SIPD on two main SCRES elements. The study examines supplier relationship resilience, understood as flexibility and redundancy elements, in a single supplier–buyer relationship perspective. Thus, the presented considerations go beyond the traditional understanding of flexibility and redundancy in supplier relationship management, that is through the prism of double or multi sourcing and having back up-suppliers.

Ring spinning is the most widely used spinning method at present. In the spinning, ring and traveller are the two important components of the twisting process. The properties of ring and traveller have a direct relationship with the yarn qualities and spinning speed. Therefore, the purpose of this paper is to study the mutual relationships of flange ring and traveller system by taking the 6802-type traveller with rectangular structure, BU-type traveller with toxoplasma structure and 772-type traveller with corrugated structure as examples.

First, the theoretical calculation models of force and inclinations of the traveller are given, and calculation methods of corresponding key parameters referred in the models are presented. Then, by using SolidWorks software, models of the three kinds of traveller straddling on the PG1-4254 type ring are built, and the traveller and ring are simulated by using ADAMS software. By using MATLAB software, the force and inclinations of the traveller during the rotation around ring are simulated. Finally, the spinning experiments are made.

It is shown that the abrasion of 6802-type traveller is the most serious, and corresponding yarn evenness and hairiness is the worst. The abrasion of BU-type traveller is the slightest, and corresponding yarn evenness is the best. The yarn spins by using 772-type traveller has the least hairiness.

In the paper, the mutual relationships of flange ring and traveller system have been studied. For giving analysis of force and inclinations of the traveller, calculation methods of the key common parameters are presented. By using SolidWorks software, the physical models of the three kinds of traveller straddling on the PG1-4254 type ring are built. And then, the force and inclinations of the traveller during the rotation around ring are simulated by using MATLAB software. At last, the spinning experiments are made to analyse the simulation results.

Global product-harm crises increased in recent years. After such crises, firms' product-recall policies varied across countries, which might cause consumers in some countries to feel unfairly treated. Drawing on the relative deprivation theory, this study aims to examine how perceived unfairness of local consumers alters their attitudes toward unfairness-enacting foreign brands and competing domestic brands.

This framework was tested by a netnography study on two product recalls from Samsung along with a consumer survey. While this netnography study provided preliminary support to the framework, survey data collected from 501 Samsung consumers after the Galaxy Note 7 crisis validated the theoretical model again.

Perceived unfairness increases local consumers' avoidance of involved foreign brands and their intention to purchase domestic brands through evoking anger toward the foreign brands. Moreover, the detrimental impact of perceived unfairness is found to be stronger when consumers' prior relationship quality is high.

To the best of the authors’ knowledge, this is the first paper that investigates unfair product recalls across countries and aims to provide important insights into how consumers react to the unfair treatment of foreign brands in a global product-harm context. This study contributes to the product-harm crisis literature and provides important implications for global product-harm crisis management strategies.

Film is an important recording medium in industry. How to ensure film quality is a problem, because the film is produced in a dark room. Aims to focus on this.

An inspection system based on machine vision is presented which could assure illumination and imaging at 940 nm which is safe for film.

An objective evaluation is given using an image processing method and satisfactory results are obtained. Now, the inspection system is used by the biggest film company in China.

This work focuses on an important issue in film production.

Nearly a century ago, Max Weber studied Chinese lineage system and argued that the power of the patriarchal sib impeded the emergence of industrial capitalism in China. Recently, Martin Whyte re-evaluated Weber's thesis on the basis of development studies and argued that, rather than an obstacle, Chinese family pattern and lineage ties may have facilitated the economic growth in China since the 1980s. This paper empirically tests the competing hypotheses by focusing on the relationship between lineage networks and the development of rural enterprises. Analyses of village-level data show that lineage networks, measured by proportion of most common surnames, have large positive effects on the count of entrepreneurs and total workforce size of private enterprises in rural China.