Abstract
Purpose
Although user stickiness has been studied for several years in the field of live e-commerce, little attention has been paid to the effects of streamer attributes on user stickiness in this field. Rooted in the stimulus-organism-response (S-O-R) theory, this study investigated how streamer attributes influence user stickiness.
Design/methodology/approach
The authors obtained 496 valid samples from Chinese live e-commerce users and explored the formation of user stickiness using partial least squares-structural equation modeling (PLS-SEM). Artificial neural network (ANN) was used to capture linear and non-linear relationships and analyze the normalized importance ranking of significant variables, supplementing the PLS-SEM results.
Findings
The authors found that attractiveness and similarity positively impacted parasocial interaction (PSI). Expertise and trustworthiness positively impacted perceived information quality. Moreover, streamer-brand preference mediated the relationship between PSI and user stickiness, as well as the relationship between perceived information quality and user stickiness. Compared to PLS-SEM, the predictive ability of ANN was more robust. Further, the results of PLS-SEM and ANN both showed that attractiveness was the strongest predictor of user stickiness.
Originality/value
This study explained how streamer attributes affect user stickiness and provided a reference value for future research on user behavior in live e-commerce. The exploration of the linear and non-linear relationships between variables based on ANN supplements existing research. Moreover, the results of this study have implications for practitioners on how to improve user stickiness and contribute to the development of the livestreaming industry.
Details
Keywords
Huosong Xia, Jingwen Li, Juan Weng, Zuopeng (Justin) Zhang and Yangmei Gao
Existing research on collaborative innovation mechanisms from the perspective of global operation is very limited. This paper aims to address the research gap by studying the…
Abstract
Purpose
Existing research on collaborative innovation mechanisms from the perspective of global operation is very limited. This paper aims to address the research gap by studying the factors influencing globally distributed teams’ innovation performance, especially how effective knowledge sharing between distributed teams promotes collaborative team innovation.
Design/methodology/approach
This research proposes a model to investigate how collaborative knowledge sharing affects global operations [team dispersion, task orientation, information and communication technology (ICT) usage] and innovation performance based on the data collected from 167 managers in 40 local Chinese IT and offshoring firms. Using the theory of Cognitive Diversity and Innovation Diffusion and Synergy, separate hierarchical regression analysis was used to test the proposed model.
Findings
The findings of this study demonstrate that effective collaborative knowledge sharing plays a crucial role in enhancing innovation performance in a global operation. Specifically, innovation capacity can be improved by task orientation, ICT usage and team dispersion.
Originality/value
This research study contributes to the development of global distributed operations and innovation among distributed teams in multinational corporations.
Details
Keywords
Aoran Hong, Xia Li, Yonggui Wang and Mengting Shi
Export manufacturing firms from emerging markets can better meet customer needs by providing customization, which leads to competitive advantages. Although both practice and…
Abstract
Purpose
Export manufacturing firms from emerging markets can better meet customer needs by providing customization, which leads to competitive advantages. Although both practice and academic research have deeply discussed customization, the question of whether customization promotes export manufacturing firms' product innovation in the global B2B market is largely unexplored. The purpose of this paper is to address this issue.
Design/methodology/approach
This paper collects survey data from 2,248 export manufacturing firms in China and uses hierarchical moderated regression to explore the relationship between customization and product innovation in the global B2B market and their boundary conditions.
Findings
This research shows that customization positively affects export manufacturing firms' product innovation in the context of the global B2B market, and it shows that internal governance structure (contract governance and relationship governance) and external governance structure (legal enforceability) can be used as boundary conditions that affect the relationship. Specifically, contract governance has an inverted U-shaped moderating effect on the relationship between customization and product innovation; moreover, relationship governance and legal enforceability can strengthen the positive relationship between customization and product innovation.
Originality/value
The study explores the relationship between customization and product innovation in the global B2B market and examines the moderating effect of internal and external governance structures. In addition, the study enriches the research related to customization and product innovation in the context of the global B2B market and provides essential practical insight into the survival of export manufacturing firms from emerging markets.
Details
Keywords
Jiahao Wang, Guodong Xia, Ran Li, Dandan Ma, Wenbin Zhou and Jun Wang
This study aims to satisfy the thermal management of gallium nitride (GaN) high-electron mobility transistor (HEMT) devices, microchannel-cooling is designed and optimized in this…
Abstract
Purpose
This study aims to satisfy the thermal management of gallium nitride (GaN) high-electron mobility transistor (HEMT) devices, microchannel-cooling is designed and optimized in this work.
Design/methodology/approach
A numerical simulation is performed to analyze the thermal and flow characteristics of microchannels in combination with computational fluid dynamics (CFD) and multi-objective evolutionary algorithm (MOEA) is used to optimize the microchannels parameters. The design variables include width and number of microchannels, and the optimization objectives are to minimize total thermal resistance and pressure drop under constant volumetric flow rate.
Findings
In optimization process, a decrease in pressure drop contributes to increase of thermal resistance leading to high junction temperature and vice versa. And the Pareto-optimal front, which is a trade-off curve between optimization objectives, is obtained by MOEA method. Finally, K-means clustering algorithm is carried out on Pareto-optimal front, and three representative points are proposed to verify the accuracy of the model.
Originality/value
Each design variable on the effect of two objectives and distribution of temperature is researched. The relationship between minimum thermal resistance and pressure drop is provided which can give some fundamental direction for microchannels design in GaN HEMT devices cooling.
Details
Keywords
Xiufeng Zhang, Jitao Dai, Xia Li, Huizi Li, Huiqun Fu, Guoxin Pan, Ning Zhang, Rong Yang and Jianguang Xu
This paper aims to develop a signal acquisition system of surface electromyography (sEMG) and use the characteristics of (sEMG) signal to interference action pattern.
Abstract
Purpose
This paper aims to develop a signal acquisition system of surface electromyography (sEMG) and use the characteristics of (sEMG) signal to interference action pattern.
Design/methodology/approach
This paper proposes a fusion method based on combining the coefficient of AR model and wavelet coefficient. It improves the recognition rate of the target action. To overcome the slow convergence speed and local optimum in standard BP network, the study presents a BP algorithm which combine with LM algorithm and PSO algorithm, and it improves the convergence speed and the recognition rate of the target action.
Findings
Experiments verify the effectiveness of the system from two aspects the target motion recognition rate and the corresponding reaction speed of the robotic system.
Originality/value
The study developed a signal acquisition system of sEMG and used the characteristics of (sEMG) signal to interference action pattern. The myoelectricity integral values are presented to determine the starting point and end point of target movement, which is more effective than using single sample point amplitude method.
Details
Keywords
Xia Liu, Yuli Wang, Shanshan Li, Lei Chen, Fanbo Li and Hongfeng Zhang
The objective of this study is to utilize empirical research and analysis to examine the coupling coordination relationship between new quality productivity and higher vocational…
Abstract
Purpose
The objective of this study is to utilize empirical research and analysis to examine the coupling coordination relationship between new quality productivity and higher vocational education sustainable development.
Design/methodology/approach
To this end, an evaluation index system for the new quality productivity and higher vocational education sustainable development was constructed. The panel data of 30 Chinese provinces from 2016 to 2022 were then analyzed using the entropy method, the coupling coordination degree model, the Tobit regression model and Dagum’s Gini coefficient.
Findings
The findings indicate that the coupling coordination degree of new quality productivity and higher vocational education sustainable development exhibited an upward trend, though significant regional disparities were observed, with the highest coupling coordination degree recorded in the eastern region and the lowest in the northeastern region.
Originality/value
The study’s findings further suggest that the three factors of technological innovation level, rationalization of industrial structure and advanced industrial structure have a significant positive influence on the coupling coordination degree, while the level of government intervention has a significant negative influence on the Coupling Coordination Degree. The study posits that augmenting policy support, optimizing the government’s role, reinforcing the drive for technological innovation, and enhancing regional cooperation and exchange are imperative to foster high-quality development of the integration of industry and education between new quality productivity and higher vocational education.
Details
Keywords
This chapter describes challenges that academic libraries face in the era of data-intensive research.
Abstract
Purpose
This chapter describes challenges that academic libraries face in the era of data-intensive research.
Methodology/approach
A review of current literature about the topic was performed. The main features of the data-intensive paradigm of research are outlined and new tasks to be performed by academic libraries are explored.
Findings
To fulfil their mission in this environment, academic libraries have to be equipped with tools that can be epitomised as research data services and include research data-management and digital data curation. Issues of data quality, data citation and data literacy are also of prime importance for related academic library services that also need to employ ‘new’ librarians, that is professionals, armed with novel and adequate skills.
Originality/value
The chapter outlines both background and practice, associated with data-related opportunities and responsibilities.
Details
Keywords
Joseph Deutsch, Pundarik Mukhopadhaya, Jacques Silber and Jing Yang
To explore income inequality in urban China, this paper investigates disparities between- and within-urban locals and rural migrants from 2002 to 2013, using three waves of the…
Abstract
To explore income inequality in urban China, this paper investigates disparities between- and within-urban locals and rural migrants from 2002 to 2013, using three waves of the China Household Income Project (CHIP) data. While the existing literature concentrates on the wage disparity between these two groups, our results show that the Gini among the migrants increased by 17.86% between 2007 and 2013 and that among the locals increased by 15.54% from 2002 to 2007. The urban–migrant average income gap decreased during the whole period mainly due to higher growth in migrants’ average income. Estimates based on Mincerian earnings functions for both groups reveal the significant role of the education, occupation and type of contract in determining the within-group inequality. In addition, using a recentred influence function (RIF), we observe that short-term and other types of contracts, duration of the job, in-system ownership, marriage and skill have inequality-enhancing effects for migrants. The variation of skills has a larger impact on the income disparity among migrants than on that among urban locals. The RIF-based Blinder–Oaxaca decomposition of the mean difference of incomes shows that labour market discrimination between the two groups is not significant; however, both pure explained and unexplained differences are significant when applying the RIF decomposition to the variance of the logarithms of incomes. While the type of contract significantly reduces the pure explained difference between migrants and urban locals, occupation has a positive impact on this difference between these two groups. The heterogenity analysis shows that the factors influencing incomes in these two groups are different. We recommend labour market intervention to reduce unreasonable occupational and sectoral disparities, especially in the net inflow provinces, to mitigate urban inequality in China effectively.
Details
Keywords
Olimpia Meglio, David R. King and Elio Shijaku
Acquisitions are complex and ambiguous events fraught with information asymmetries emphasizing market failure before an acquisition or organizational failure during integration…
Abstract
Acquisitions are complex and ambiguous events fraught with information asymmetries emphasizing market failure before an acquisition or organizational failure during integration. While often treated in isolation, market and organization failure are intertwined in acquisitions as integration planning starts before a deal is closed. Effective integration begins with a deep understanding of the target to be able to share assets and knowledge. However, acquiring firms currently have limited solutions to address information asymmetries. Most remedies primarily aim at market failure using due diligence and external advisors, leaving information asymmetry due to organizational failure primarily unattended. The authors develop a typology that leverages informal and formal social ties to address information asymmetries across the acquisition process that jointly considers market and organizational failure. The typology of this study combines existing research to develop how social ties with stakeholders influence acquisitions and can increase their success.
Details
Keywords
Ting Chen, Xia Li and Yaoqing Duan
The discontinuous usage behavior of short video social media presents an ongoing challenge to platform development. The purpose of this study is to investigate the antecedents of…
Abstract
Purpose
The discontinuous usage behavior of short video social media presents an ongoing challenge to platform development. The purpose of this study is to investigate the antecedents of intentions to short media discontinuous usage.
Design/methodology/approach
This study adopts a Cognition–Affection–Conation (CAC) framework to analyze short video social media discontinuous intention on the basis of cognitive dissonance theory (CDT) and self-efficacy theory. The empirical evaluation of the research model was conducted using SmartPLS 2.0 and was based on questionnaire data obtained from participants in China.
Findings
The results show information overload and user addiction have a significant positive association with cognitive dissonance, which is, in turn, found to significantly impact discontinuous usage intention. Self-efficacy moderates the relationships between information overload, user addiction, cognitive dissonance and discontinuous usage.
Originality/value
This study contributes to the understanding of the factors that influence short video discontinuous usage intention and it achieves this by engaging from a CDT perspective and by applying Self-Efficacy Theory. Theoretical implications for future short video platform research, as well as practical suggestions for short video platform operators and users, are also discussed.