Jia Chen, Gang Kou, Yi Peng, Xiangrui Chao, Feng Xiao and Fawaz E. Alsaadi
Social media commerce provides a convenient way for users to share information and interact with each other. Few studies, however, have examined the effect of marketing messages…
Abstract
Purpose
Social media commerce provides a convenient way for users to share information and interact with each other. Few studies, however, have examined the effect of marketing messages and consumer engagement behaviors on the economic performance of marketing. This study, therefore, explored the economic performance of social media in terms of marketing messages and consumer engagement.
Design/methodology/approach
Using ordinary least squares regression and data collected from Weibo and Maoyan, this study analyzed the effects among marketing messages, consumer engagement and movie ticket sales.
Findings
The results indicated that marketing messages on Weibo had a positive effect on box office revenues, while consumer engagement behavior (whether personal or interactive) did not affect box office revenues. The results suggested that marketing messages on social media have more salient effects for predicting economic performance than consumer engagement behaviors.
Originality/value
This study underscores the importance of social media in consumer purchasing behavior. The findings also extend the literature related to commerce and product message design on social media platforms.
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Feifei Yang, Jiaqi Huang, Xiao Feng and Miles M. Yang
This paper aims to investigate the effects of goal orientation on understanding the dynamics of stocks and flows (SF).
Abstract
Purpose
This paper aims to investigate the effects of goal orientation on understanding the dynamics of stocks and flows (SF).
Design/methodology/approach
The authors use the well-established department store task as the experimental task to evaluate people’s understanding of SF and implement a survey to assess different goal orientation levels. Ordinary least square is used to test the effects of goal orientations on the SF performance.
Findings
The findings suggest that learning goal orientation is positively associated with SF performance. However, prove and avoid performance goal orientation are unrelated to SF performance.
Originality/value
The study has important theoretical and practical contributions. From a theoretical perspective, the authors examine the impact of goal orientation in dynamic decision-making to advance the knowledge on the role of goal orientation. Practically, the research demonstrates that learning-goal-oriented people perform better in stock and flow tasks, suggesting that goal orientation is an important trait for recruiting organizational members whose work involves SF decision-making tasks.
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Xiao-feng Zhang, Xiao-juan Zhang, Lei Li, Gui-quan Li and You-min Xi
This study aims to focus on the authority formation process of Chinese enterprise leaders, with the purpose of finding out how an ordinary newly established firm leader develops…
Abstract
Purpose
This study aims to focus on the authority formation process of Chinese enterprise leaders, with the purpose of finding out how an ordinary newly established firm leader develops into a real top leader and achieves the status of legitimacy in a well-known enterprise.
Design/methodology/approach
Based on constructivist grounded theory, this paper investigates the formation mechanism of entrepreneurial authority in China by using the rich data of Liu Chuan-zhi’s leader activities.
Findings
In the “evolution” path of authority formation, leaders continually consolidate and improve their authority through two classes of exceptional management activities: “emergency rescue” and “promotion activities”. The successful realization of exceptional management activities benefits from a leader’s management experience accumulation and relationship maintenance with the government. In the “design” path of authority formation, leaders consolidate and improve their authority by exercising their position of power. Leaders’ legitimacy is reflected by making strategic decision and demonstrating discretion of position power. Additionally, passing on an inspiring leader’s thoughts and ideas to an organization’s members is accomplished through the construction of organization culture, institutionalization and convention.
Research limitations/implications
First, the findings are based on only Liu Chuan-zhi’s case. The authors still need more cases to compare and develop the findings and seek theoretical saturation in a broader sense. Second, the qualitative analysis is based on secondary data and future research could consider the introduction of interviews, video and other types of research data.
Originality/value
Under the parallel paths which are “evolution” and “design”, the dynamic leader authority formation model in China is founded.
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This paper aims to explore the impact of domestic market fragmentation on the innovation performance of enterprises and its mechanism from the perspective of market segmentation…
Abstract
Purpose
This paper aims to explore the impact of domestic market fragmentation on the innovation performance of enterprises and its mechanism from the perspective of market segmentation, a government behavior with Chinese characteristics.
Design/methodology/approach
In order to verify the theoretical hypothesis proposed in the previous article, that is, whether domestic market fragmentation can effectively improve the innovation performance of enterprises, this paper bases on the data of listed companies from 2010 to 2016, empirically testing the theoretical hypothesis by constructing a measurement model.
Findings
Domestic market fragmentation has a significant inhibitory effect on enterprise innovation performance. Domestic market fragmentation has heterogeneous effects on innovation performance of enterprises and regions. It is undeniable that domestic market fragmentation does have a certain support effect on state-owned enterprises but the support effect is achieved by distorting regional resource allocation and creating an unfair market environment.
Originality/value
Firstly, this paper explores the impact mechanism of domestic market fragmentation on corporate innovation performance from the perspective of market segmentation, a government behavior with Chinese characteristics, so as to expand and enrich the relevant research on enterprise innovation. Secondly, from the perspective of corporate innovation performance, this paper provides new evidence for the “curse effect” of domestic market fragmentation. Thirdly, this paper tries to shake the domestic market fragmentation support theory from the perspective of distortion effect brought by the “hand of support” of domestic market fragmentation.
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Gongbin Tang, Yifan Chen, Feng Xiao, Shanshan Zhang and Fuchuan Huang
This paper aims to use this method to explore a new approach and possible technical optimal design for lubricant formulation.
Abstract
Purpose
This paper aims to use this method to explore a new approach and possible technical optimal design for lubricant formulation.
Design/methodology/approach
The component of the developed oil was determined based on the physical and chemical properties of the base oil and the tribological properties. The analytic hierarchy process (ANP) method and SuperDecisions software were used for hydraulic oil modeling and calculation while taking performance index, work circumstance and economy into consideration.
Findings
The hydraulic oil formulation can be optimized using the ANP method, where the technical performance, economy and working circumstances of the hydraulic oils were taken into consideration in the evaluation system. The experiment analyzed and scored and screened the hydraulic oil formula in an objective and comprehensive manner.
Originality/value
The experiments showed that the newly developed hydraulic oils could meet the performance requirements for new energy vehicles equipped with hybrid hydraulic engines.
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Hayley E. Christian, Gavin R. McCormack, Kelly R. Evenson and Clover Maitland
This chapter aims to review evidence of the relationships between dog ownership, dog walking and overall walking and the factors associated with dog walking. It reviews the…
Abstract
This chapter aims to review evidence of the relationships between dog ownership, dog walking and overall walking and the factors associated with dog walking. It reviews the evidence using a social ecological framework. The chapter finds that dog ownership and dog walking are associated with higher levels of walking. A number of social ecological factors are associated with dog walking. Motivation and social support provided by the dog to walk and a sense of responsibility to walk the dog are associated with higher levels of dog walking. Positive social pressure from family, friends, dog owners and veterinarians is also associated with higher levels of dog walking. Built and policy environmental characteristics influence dog walking, including dog-specific factors such as access to local attractive public open space with dog-supportive features (off-leash, dog waste bags, trash cans, signage), pet-friendly destinations (cafes, transit, workplaces, accommodation) and local laws that support dog walking. Large-scale intervention studies are required to determine the effect of increased dog walking on overall walking levels. Experimental study designs, such as natural and quasi-experiments, are needed to provide stronger evidence for causal associations between the built and policy environments and dog walking. Given the potential of dog walking to increase population-levels of walking, urban, park and recreational planners need to design neighbourhood environments that are supportive of dog walking and other physical activity. Advocacy for dog walking policy-relevant initiatives are needed to support dog walking friendly environments. Health promotion practitioners should make dog walking a key strategy in social marketing campaigns.
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Long Yan, Weiya Xu, Rubin Wang and Qingxiang Meng
The purpose of this paper is to investigate the anisotropic characteristics of the special structure of a columnar jointed rock masses and provide reference to forecast the…
Abstract
Purpose
The purpose of this paper is to investigate the anisotropic characteristics of the special structure of a columnar jointed rock masses and provide reference to forecast the behavioral characteristics of real samples.
Design/methodology/approach
This study used FLAC3D numerical software to simulate the mechanical behavior of columnar jointed rock masses with different columns angles (ß) under different stress conditions. The peak strength, elastic modulus and Poisson’s ratio were obtained to investigate the strength, deformation characteristics and failure modes of the rock masses under conventional and true triaxial compression.
Findings
The results showed that the compressive strength of the specimens presents a U-shape under different joint inclinations. The strength of the specimens reaches a maximum value when ß = 90°, and the value for ß = 0° is slightly lower and reaches a minimum value when ß = 50°. The elastic modulus and Poisson’s ratio of the samples are obviously anisotropic, the anisotropic coefficient decreases with increasing confining pressure. When σ2 ≠ σ3, the peak strengths of the samples are related to the direction of the minor principal stress, and the failure modes of the samples are related to the confining pressure and joint inclination.
Originality/value
The present paper uses a numerical simulation method to examine the strength and deformation characteristics of a columnar jointed rock mass under conventional and true triaxial compression. The aim is to provide a reference to forecast the mechanical characteristics of test samples in the laboratory.
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Yunxia Sun, Xufeng Xiao, Zhiming Gao and Xinlong Feng
The purpose of this paper is to propose an efficient space-time operator-splitting method for the high-dimensional vector-valued Allen–Cahn (AC) equations. The key of the…
Abstract
Purpose
The purpose of this paper is to propose an efficient space-time operator-splitting method for the high-dimensional vector-valued Allen–Cahn (AC) equations. The key of the space-time operator-splitting is to devide the complex partial differential equations into simple heat equations and nolinear ordinary differential equations.
Design/methodology/approach
Each component of high-dimensional heat equations is split into a series of one-dimensional heat equations in different spatial directions. The nonlinear ordinary differential equations are solved by a stabilized semi-implicit scheme to preserve the upper bound of the solution. The algorithm greatly reduces the computational complexity and storage requirement.
Findings
The theoretical analyses of stability in terms of upper bound preservation and mass conservation are shown. The numerical results of phase separation, evolution of the total free energy and total mass conservation show the effectiveness and accuracy of the space-time operator-splitting method.
Practical implications
Extensive 2D/3D numerical tests demonstrated the efficacy and accuracy of the proposed method.
Originality/value
The space-time operator-splitting method reduces the complexity of the problem and reduces the storage space by turning the high-dimensional problem into a series of 1D problems. We give the theoretical analyses of upper bound preservation and mass conservation for the proposed method.
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The purpose of this paper is to construct a digital collection and database of traditional clothing that is convenient for the digital dissemination and application of traditional…
Abstract
Purpose
The purpose of this paper is to construct a digital collection and database of traditional clothing that is convenient for the digital dissemination and application of traditional clothing and provide resources for research on clothing fashion, traditional clothing techniques, clothing culture, history and clothing teaching.
Design/methodology/approach
A real object analysis method was used in this paper, based on 15 core elements of the internationally common DC metadata standard, and with consideration to the characteristics of clothing products and clothing industry application specifications, the core elements of DC are expanded to facilitate the detailed record of the characteristic information of clothing, especially the implicit clothing culture. A code symbol compilation method was developed to give each piece of clothing a unique number, facilitating identification, classification and recording. At last, a metadata construction scheme for traditional clothing was developed. A traditional embroidered children's hat and Mamianqunt serve as examples to demonstrate the metadata elements.
Findings
The clothing meta-database provides a main body of traditional clothing while also paying attention to the collection of cultural elements. It is composed of five layers of classified data, source data, characteristic data, connotation data and management data, as well as 28 data elements, providing ease of sharing and interoperation.
Originality/value
This paper expands the subset of fashion metadata by describing traditional clothing metadata, especially the excavation of clothing cultural elements, and developing code compilation methods so that each clothing product can obtain a unique identification number, thereby building a traditional clothing metadata construction scheme consisting of five data layers and containing 28 data elements. This scheme records the information about each layer of traditional clothing in detail and provides shared data for discipline research and industry applications.