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1 – 10 of 28Xuemei Xie, Saixing Zeng, Zhipeng Zang and Hailiang Zou
The purpose of this study is to identify the factors determining collaborative innovation effect of manufacturing firms in emerging economies.
Abstract
Purpose
The purpose of this study is to identify the factors determining collaborative innovation effect of manufacturing firms in emerging economies.
Design/methodology/approach
Based on a survey of 1,206 Chinese manufacturing firms and using structural equation modelling, this study explores the factors determining the effect of collaborative innovation among manufacturing firms (namely, internal capabilities, government policies, collaboration mechanisms and social networks) and examines the relationship between collaborative innovation effect and innovation performance.
Findings
The study finds that there are significantly positive relationships between firms’ internal capabilities, government policies, collaboration mechanisms and social networks and collaborative innovation effect among firms.
Practical implications
These findings reveal that policymakers should create an effective institutional culture and market environment to facilitate firms’ collaborative innovation.
Originality/value
This paper draws on the resource-based view of firms and contributes to understanding of how the development of factors determining firms’ collaborative innovation effect can improve innovation performance. This study extends established frameworks on collaborative innovation in relation to four dimensions, namely, firms’ internal capabilities, government policies, collaboration mechanisms and social networks, uniquely identifying the limits of specific dimensions. Moreover, this study addresses government policies and “Guanxi culture” specific to China that provide new insights into how firms’ collaborative innovation is improved from the perspectives of business–governmental relations and social networks.
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Xuemei Xie, Yonghui Wu and Saixing Zeng
This study aims to construct a theory of multi-dimensional organizational innovation cultures and innovation performance in transitional economies and explore the moderating…
Abstract
Purpose
This study aims to construct a theory of multi-dimensional organizational innovation cultures and innovation performance in transitional economies and explore the moderating effect of team cohesion on this theoretical relationship.
Design/methodology/approach
Using data collected from 175 manufacturing firms in transitional economies, this study constructs a new theory framework of multi-dimensional organizational innovation cultures (knowledge sharing, organizational innovation atmosphere, team decision-making and organizational change) and firms’ innovation performance and also explores the moderating effect of team cohesion on this theoretical relationship.
Findings
The findings show that there are positive relationships between knowledge sharing, organizational innovation atmosphere, team decision-making, organizational change and innovation performance of firms. Furthermore, team cohesion plays a positive moderating role in this relationship.
Practical implications
It extends the general understanding of multi-dimensional organizational cultures management in the context of transition economies by exploring the differences between the Chinese and Vietnamese firms in terms of the impact of organizational innovation culture on innovation performance.
Originality/value
This study constructs a new theory framework of multi-dimensional organizational innovation cultures along the four dimensions of knowledge sharing, organizational innovation atmosphere, team decision-making and organizational change. These factors together have rarely been examined before. Hence, the findings extend existing research on organizational cultures management. Moreover, a new idea for this study is that the authors consider team cohesion as a moderating variable between organizational innovation culture and innovation performance of firms, hence providing both theoretical discussion and empirical validation of the impact of team cohesion on this relationship. It thus extends existing research on the team theory.
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Xuemei Xie, Huimiao Zhang and Cristina Blanco
Family businesses often lack sufficient knowledge about digital business model innovation digital business model innovation (BMI). This study's purpose was to analyze how and when…
Abstract
Purpose
Family businesses often lack sufficient knowledge about digital business model innovation digital business model innovation (BMI). This study's purpose was to analyze how and when organizational readiness for digital innovation exerts a positive impact on family businesses' digital BMI. To do so, the authors examined the mediating effect of the familiness learning mechanism and the moderating effect of family involvement on this relationship.
Design/methodology/approach
A quantitative survey method was used to collect the data for this study. Using a sample of 282 family businesses involved in manufacturing in China, the authors conducted hierarchical regression analyses to evaluate the authors' theoretical model.
Findings
The results of this work demonstrate a positive relationship between organizational readiness for digital innovation and family businesses' digital BMI, and the find that the familiness learning mechanism mediates this relationship. The findings also show that second-generation family involvement in management moderates the direct effect of organizational readiness for digital innovation on the familiness learning mechanism, as well as the indirect effect of organizational readiness for digital innovation on digital BMI via the familiness learning mechanism. Moreover, the results establish that family involvement in ownership moderates the direct effect of the familiness learning mechanism on digital BMI, as well as the indirect effect of organizational readiness for digital innovation on digital BMI via the familiness learning mechanism.
Practical implications
This study provides practical contributions to the literature on family businesses and to public policy, providing concrete suggestions for fostering digital innovation in family enterprises. This study also enriches our understanding of the unique conditions by which family businesses can successfully implement digital BMI.
Originality/value
This research confirms that organizational readiness for digital innovation is an antecedent of digital BMI. This finding offers a new perspective that helps explain what might lead family businesses to engage in digital BMI. This study also places the familiness learning mechanism into a theoretical framework, which expands the current understanding of how organizational readiness for digital innovation facilitates digital BMI. Moreover, this work provides new insights into the boundary conditions by which organizational readiness for digital innovation affects the digital BMI of family businesses in terms of second-generation family involvement in management and family involvement in ownership.
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Peihong Xie, Xin Li and Xuemei Xie
This paper aims to systematically examine the key notion of integration of non-market and market strategies in the increasingly popular study of corporate non-market strategies…
Abstract
Purpose
This paper aims to systematically examine the key notion of integration of non-market and market strategies in the increasingly popular study of corporate non-market strategies.
Design/methodology/approach
This paper is based on a brief literature review of the non-market strategy (NMS) research that shows the existing literature does not offer a clear and systematic account of the key notion of integration. It suggests any systematic account of integration should address at least three interrelated questions, i.e. why, what and how to integrate non-market and market strategies?
Findings
For the why question, the authors use a formal model to demonstrate that the essence of the most important type of integration synergy lies in the positive spillover or externality from non-market to market strategies. For the what question, the authors identify the contents of integration at three levels, i.e. the level of non-market environment analysis, the level of NMS choice, and the level of non-market dynamic interactions. For the how question, the authors argue that the combination of non-market and market strategies should be seamless in terms of horizontal, vertical and intentional coordination. Overall, the authors argue, only when the right contents are combined and seamlessly coordinated will there be high synergies from integration of non-market and market strategies.
Practical implications
Managers are advised to give non-market strategies full attention. Managers charged with non-market tasks should explore how to seamlessly coordinate non-market and market strategies in order to gain maximal synergies.
Originality/value
This paper is the first to examine the key notion of integration in a systematic manner. It is the first to propose a three-question solution to systematic understanding of the notion and the first to propose the seamless coordination concept and its associated three aspects of seamless coordination.
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Zhanlong Zhang, Xuemei Xie, Lin Li, Dongping Xiao and Wei He
– The purpose of this study is to calculate the frequency electric field in substation.
Abstract
Purpose
The purpose of this study is to calculate the frequency electric field in substation.
Design/methodology/approach
The paper proposes a novel fast multipole method (FMM) called Super-FMM to solve the PFEF problems in substations. The paper substitutes the original approaches for analytic expansions and translations through equivalent density representations.
Findings
The paper shows that the Super-FMM is more efficient in terms of the complexity of its storage spaces and computational costs compared with the best-known FMM when placed under scenarios with exactly the same error rates.
Research limitations/implications
Using the fast Fourier transform algorithm can further improve the optimization algorithm and computational efficiency.
Originality/value
A novel FMM called Super-FMM is proposed, which has a structure similar to that of the adaptive FMM algorithm, but the paper substitutes the original approaches for analytic expansions and translations through equivalent density representations.
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Li Xuemei, Yun Cao, Junjie Wang, Yaoguo Dang and Yin Kedong
Research on grey systems is becoming more sophisticated, and grey relational and prediction analyses are receiving close review worldwide. Particularly, the application of grey…
Abstract
Purpose
Research on grey systems is becoming more sophisticated, and grey relational and prediction analyses are receiving close review worldwide. Particularly, the application of grey systems in marine economics is gaining importance. The purpose of this paper is to summarize and review literature on grey models, providing new directions in their application in the marine economy.
Design/methodology/approach
This paper organized seminal studies on grey systems published by Chinese core journal database – CNKI, Web of Science and Elsevier from 1982 to 2018. After searching the aforementioned database for the said duration, the authors used the CiteSpace visualization tools to analyze them.
Findings
The authors sorted the studies according to their countries/regions, institutions, keywords and categories using the CiteSpace tool; analyzed current research characteristics on grey models; and discussed their possible applications in marine businesses, economy, scientific research and education, marine environment and disasters. Finally, the authors pointed out the development trend of grey models.
Originality/value
Although researches are combining grey theory with fractals, neural networks, fuzzy theory and other methods, the applications, in terms of scope, have still not met the demand. With the increasingly in-depth research in marine economics and management, international marine economic research has entered a new period of development. Grey theory will certainly attract scholars’ attention, and its role in marine economy and management will gain considerable significance.
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Chundong Zheng, Liping Yuan, Xuemei Bian, Han Wang and Lei Huang
Management response to consumer comments has become a widely adopted marketing strategy to address the undesirable effects caused by negative remarks. Yet, when and what…
Abstract
Purpose
Management response to consumer comments has become a widely adopted marketing strategy to address the undesirable effects caused by negative remarks. Yet, when and what management response is more effective and under what circumstances remains under-researched. This study aims to fill this gap.
Design/methodology/approach
In three experiments using five different products, the authors manipulate psychological construal level (psychological distance: distant vs proximal) and management response (response of primary vs secondary features) and thereafter assess their bearings on consumer psychological and behavioral reaction toward products of two distinctive natures (hedonic vs utilitarian).
Findings
At a psychological distance, consumers show a preferable reaction to management response of primary over secondary features. In contrast, when the psychological distance is proximal, consumers react more positively to management response of secondary than primary features. In addition, these effects vary as a function of product nature, hedonic vs utilitarian.
Research limitations/implications
The findings of this research bring a significant contribution to marketing communication literature and extend the construal level theory.
Practical implications
A better understanding of the relative effectiveness of distinct types of management response to negative consumer comments is essential for more targeted and effective marketing strategies.
Originality/value
Little research has documented the effects of distinct types of management response. How psychological distance might underpin these effects has not been explored. In addition, whether the interaction effect of management response and psychological distance varies with differences in product nature, namely, hedonic and utilitarian, remains unanswered until this research.
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Chuanmin Mi, Min Tian and Xuemei Li
This paper attempts to put forward a convincing and flexible grey cluster method that can be used in confirming credibility level of trustworthy software development process.
Abstract
Purpose
This paper attempts to put forward a convincing and flexible grey cluster method that can be used in confirming credibility level of trustworthy software development process.
Design/methodology/approach
Determination on credibility level in the software development process is dynamic, as credibility of the results may be different at different times and under different project requirements. Qualitative methods are not entirely convincing, and most quantitative methods are not flexible enough. Grey cluster based on nonlinear grey whitening weight function put forward in this paper is both convincing and flexible. Finally eight projects from the ISBSG database are used for empirical analysis, which confirm that the method put forward in this paper is available and credible.
Findings
The results are convincing: not only that grey cluster based on nonlinear grey whitening weight function put forward in this paper is both convincing and flexible, but it can be used in confirming credibility level of trustworthy software development process.
Practical implications
Eight projects from the ISBSG database are used for empirical analysis, which confirms that the method put forward in this paper is available and credible.
Originality/value
Nonlinear grey whitening weight function is derivable except endpoint. Grey cluster based on nonlinear grey whitening weight function put forward in this paper is both convincing and flexible.
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Keywords
Xuemei Li, Xiaoyan Xu and Yanhong Sun
– The purpose of this paper is to study the advance selling strategies for oligopolists when considering the product diffusion effect.
Abstract
Purpose
The purpose of this paper is to study the advance selling strategies for oligopolists when considering the product diffusion effect.
Design/methodology/approach
The authors consider a market that composes of two competitive sellers who are different in their reputation. The two firms sell the same product in the market over two periods (i.e. the advance selling season and the regular selling season). Due to the effect of product diffusion, the demand of each firm in the regular selling season is dependent on the two firms’ advance demands.
Findings
For the firm with lower reputation, it is beneficial to decrease the advance selling price with the diffusion effect caused by its advance demand. For the firm with higher reputation, it is also beneficial to decrease the advance selling price with the diffusion effect caused by its advance demand if the consumers’ enthusiasm for the product in regular selling season is high enough; otherwise it should not decrease his advance selling price since this practice cannot greatly increase his demand.
Practical implications
The obtained results can provide operational managers in reality with valuable suggestions in making advance selling decisions.
Originality/value
The paper is among the first to investigate the impact of product diffusion effect on a firm’s advance selling strategy in a competitive setting.
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