Jun Jin, Shijing Li, Zan Chen and Liying Wang
Although scholars in strategic management have identified innovating and exit as firms’ two sequential strategic responses to long-run crisis, the potential interdependency has…
Abstract
Purpose
Although scholars in strategic management have identified innovating and exit as firms’ two sequential strategic responses to long-run crisis, the potential interdependency has yet remained implicit. Specifically, in the context of Chinese Privately Owned Enterprises (POEs), this study investigates the interrelationship of these two strategic responses during long-run crisis. Building on resource redeployment perspective, the authors propose that firms tend to simultaneously leverage innovating and exit responses.
Design/methodology/approach
The authors use the data from the 2010 Chinese POEs survey to verify how firms in the long-term crisis made strategic responses after the 2008 financial crisis. Besides, the authors utilize Probit regressions as the basic analysis and further employ bivariate Probit regressions to conduct robustness tests.
Findings
This study provides empirical evidence confirming that firms in the long-run period of the crisis tend to adopt both exit and innovating strategies at the same time, that is, the strategy of resource redeployment. Moreover, this study further finds that government subsidies, the degree of marketization and firm’s organizational capability could all accentuate the decision-making of firms’ resource redeployment.
Originality/value
The authors thus contribute to the study of strategic responses to crisis in strategic management by dynamically find out the interdependency of two responses and enrich the research on resource redeployment perspective by identifying three influential positive antecedents, adding to the ongoing investigation on positive drivers of resource redeployment.
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Qiushi Hao, Benchen Fu, Yu Shao and Liying Wang
This study aims to explore the spatial distribution characteristics and spactial reciprocity between industrial parks (IPs) and vocational education parks (VEPs): agglomeration…
Abstract
This study aims to explore the spatial distribution characteristics and spactial reciprocity between industrial parks (IPs) and vocational education parks (VEPs): agglomeration density, functional matching, spatial organization efficiency, as well as space intensive utility. To achieve this objective, IPs and VEPs in urban centers of Jiangsu Province are selected as the objects of the study. First, spatial analysis of thermodynamic diagrams is employed in this study to qualitatively analyze the evolutionary characteristics of the spatial distribution of IPs and VEPs to explore the spatial aggregation characteristics of their clustering, integration, and comprehensive crossover. Second, a horizontal comparison of the data and indexes concerned reveals that areas with high agglomeration and functional matching exhibit a sound spatial reciprocity. Third, this study crystallizes the four structural prototpye paradigms formed during the reciprocity evolution between IPs and VEPs; it compares spatial organization efficiency, with the agglomeration–core structure ranking first, followed by the circle–core structure. Finally, SPSS is used to analyze the space intensive utility in order to verify the conclusions of qualitative analysis. The findings can comprehensively explain the regularities of the spatial distribution and reciprocity between IPs and VEPs. The findngs can also elucidate the design of regional industrial development and educational programs.
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Lihua Chen, Liying Wang and Yingjie Lan
In this paper, the main focus is on supply and demand auction systems with resource pooling in modern supply chain from a theoretical modeling perspective. The supply and demand…
Abstract
Purpose
In this paper, the main focus is on supply and demand auction systems with resource pooling in modern supply chain from a theoretical modeling perspective. The supply and demand auction systems in modern supply chains among manufacturers and suppliers serve as information sharing mechanisms. The purpose of this paper is to match the supply and demand such that a modern supply chain can achieve incentive compatibility and economic efficiency. The authors design such a supply and demand auction system that can integrate resources to efficiently match the supply and demand.
Design/methodology/approach
The authors propose three theoretic models of modern supply chain auctions with resource pooling according to the Vickrey auction principle. They are supply auction model with demand resource pooling, demand auction model with supply resource pooling, and double auction model with demand and supply resource pooling. For the proposed auction models, the authors present three corresponding algorithms to allocate resources in the auction process by linear programming, and study the incentive compatibility and define the Walrasian equilibriums for the proposed auction models. The authors show that the solutions of the proposed algorithms are Walrasian equilibriums.
Findings
By introducing the auction mechanism, the authors aim to realize the following three functions. First is price mining: auction is an open mechanism with multiple participants. Everyone has his own utility and purchasing ability. So, the final price reflects the market value of the auction. Second is dynamic modern supply chain construction: through auction, firm can find appropriate partner efficiently. Third is resources integration: in business practices, especially in modern supply chain auctions, auctioneers can integrate resources and ally buyers or sellers to gain more efficiency in auctions.
Originality/value
In the paper, the authors propose three theoretic models and corresponding algorithms of modern supply chain auctions with resource pooling according using the Vickrey auction principle, which achieves three functions: price mining, dynamic modern supply chain construction and resources integrating. Besides, these proposed models are much closer to practical settings and may have potential applications in modern supply chain management.
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Liying Zhou, Fei Jin, Banggang Wu, Xiaodong Wang, Valerie Lynette Wang and Zhi Chen
This study aims to examine if the participation of live-stream influencers (LSIs) affects tipping frequency on live streaming platforms, and further investigate the mediating and…
Abstract
Purpose
This study aims to examine if the participation of live-stream influencers (LSIs) affects tipping frequency on live streaming platforms, and further investigate the mediating and moderating mechanisms.
Design/methodology/approach
Quasi-experiment and difference-in-differences models are used for data analysis. Propensity score matching is used to address potential unobservable endogeneity.
Findings
Real-time live streaming data reveal that LSIs’ participation significantly improves tipping frequency in live streaming rooms. Also, more users are attracted to the live streaming rooms and more users become active in participation. Additionally, the positive impact of LSIs’ participation is enhanced in the live streaming rooms with a greater number of relationship links between users.
Research limitations/implications
The findings clarify the new role of influencers and reveal the mechanisms on how LSIs benefit the platforms.
Practical implications
The findings offer novel insights into implementing influencer marketing to interactive social media platforms, by encouraging influencer participation, user relationship building and influencer network growth.
Originality/value
This study highlights the value of LSIs for interactive social media platforms in terms of organic growth, revenue generation and cost reduction.
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Jiang Zhu, Lan Jiang, Wenyu Dou, Valerie Lynette Wang and Liying Zhou
This study leverages theories of social influence to explore how “likes” for consumption-related content on social media fulfill consumers’ needs for social acceptance…
Abstract
Purpose
This study leverages theories of social influence to explore how “likes” for consumption-related content on social media fulfill consumers’ needs for social acceptance, subsequently affecting their repurchase and word-of-mouth (WOM) intentions. It aims to understand the extent to which social media engagements, specifically likes, serve as markers of social validation in the context of consumer behavior.
Design/methodology/approach
Our mixed-methods approach incorporated two experiments and an analysis of an archival dataset from a popular Chinese social media platform. This comprehensive methodology allowed for empirical validation of our hypotheses, combining experimental control with real-world relevance to scrutinize the impact of likes on consumption behavior.
Findings
The results of Studies 1 and 2 revealed that the number of likes significantly enhanced behavioral intentions regarding repurchase and positive word-of-mouth by fulfilling consumers’ need for social acceptance. Moreover, this effect was observed only under conditions of high (vs low) ideal social self-congruity. Study 3, conducted in a natural social media context, further validated these findings, demonstrating that likes positively influenced behavioral intention, with ideal social self-congruity acting as a boundary condition.
Originality/value
This study provides a novel perspective by directly linking social media likes to consumer behavioral intentions, specifically repurchase and WOM, through the mediating role of social acceptance and the moderating effect of ideal social self-congruity. By focusing on user-generated content (UGC) rather than marketer-generated content (MGC), it addresses a critical gap in the literature, emphasizing how receiving likes on consumer-shared content impacts content creators’ post-purchase behaviors, with practical implications for marketers on leveraging aspirational self-congruity to optimize promotional strategies.
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Liang Wang, Liying Li and Song Fu
The purpose of this paper is to numerically investigate the mildly separated flow phenomena on a near-stall NACA0015 airfoil, by using Detached-Eddy Simulation (DES) type methods…
Abstract
Purpose
The purpose of this paper is to numerically investigate the mildly separated flow phenomena on a near-stall NACA0015 airfoil, by using Detached-Eddy Simulation (DES) type methods. It includes a comparison of different choices of underlying Reynolds-averaged Navier–Stokes model as well as subgrid-scale stress model in Large-Eddy simulation mode.
Design/methodology/approach
The unsteady flow phenomena are simulated by using delayed DES (DDES) and improved DDES (IDDES) methods, with an in-house computational fluid dynamics solver. Characteristic frequencies in different flow regions are extracted using fast Fourier transform. Dynamic mode decomposition (DMD) method is applied to uncover the critical dynamic modes.
Findings
Among all the DES type methods investigated in this paper, only the Spalart–Allmaras-based IDDES captures the separation point as measured in the experiments. The classical vortex-shedding and the shear-layer flapping modes for airfoil flows with shallow separation are also found from the IDDES results by using DMD.
Originality/value
The value of this paper lies in the assessment of five different DES-type models through the detailed investigation of the Reynolds stresses as well as the separation and reattachment.
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Yangwei Wang, Peilun Lv, Jian Li, Liying Yu, Guodong Yuan and Yanling Guo
This paper aims to propose a suitable atomizing solidification chitosan (CS) gel liquid extrusion molding technology for the three dimensional (3D) printing method, and…
Abstract
Purpose
This paper aims to propose a suitable atomizing solidification chitosan (CS) gel liquid extrusion molding technology for the three dimensional (3D) printing method, and experiments verify the feasibility of this method.
Design/methodology/approach
This paper mainly uses experimental means, combined with theoretical research. The preparation method, solidification forming method and 3D printing method of CS gel solution were studied. The CS gel printing mechanism and printing error sources are analyzed on the basis of the CS gel ink printing results, printing performance with different ratios of components by constructing a gel print prototype, experiments evaluating the CS gel printing technology and the effects of the process parameters on the scaffold formation.
Findings
CS printing ink was prepared; the optimal formula was found; the 3 D printing experiment of CS was completed; the optimal printing parameters were obtained; and the reliability of the forming prototype, printing ink and gel printing process was verified, which allowed for the possibility to apply the 3 D printing technology to the manufacturing of a CS gel structure.
Originality/value
This study can provide theoretical and technical support for the potential application of CS 3 D printed gels in tissue engineering.
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Hong Hu, Liying Chen and Yuxiang Zheng
This study aimed to explore the effects of the satisfaction of employees' need for autonomy, relatedness and competence on their voice behavior through the mediation of…
Abstract
Purpose
This study aimed to explore the effects of the satisfaction of employees' need for autonomy, relatedness and competence on their voice behavior through the mediation of self-efficacy for voice and perceived risk for voice.
Design/methodology/approach
The theoretical model is tested using survey data collected from 209 employees of information technology (IT) firms located in five major cities in China.
Findings
The study found that satisfaction of employees' need for autonomy, relatedness and competence facilitated their self-efficacy for voice and inhibited perceived risk for voice. Self-efficacy for voice was positively related to voice, whereas perceived risk for voice was negatively related to it. Perceived risk for voice hampered self-efficacy for voice.
Practical implications
The findings indicate that organizations can boost employees' voice behavior by making them feel that they have autonomy in their work, by helping them maintain good relationships with others in the workplace and by enabling their competence in accomplishing their job.
Originality/value
This study highlights that satisfying employees' psychological needs plays a pivotal role in facilitating their voice behavior. The authors provide new insights into the relationship between need satisfaction and voice behavior and into the mediating roles of self-efficacy for voice and perceived risk for voice.
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Abstract
Purpose
Current virtual simulation platforms provide various tools to generate non-immersive simulation processes purposefully in different domains. The generated simulation processes are adopted for analysis, presentation, demonstration and verification. In the virtual maintenance domain, this intuitive and visual method has benefitted product maintainability design and improvement. Generating an ideal and reasonable non-immersive virtual maintenance simulation is always time-consuming because of the complicated human operations and logical relationships involved. This study aims to propose a semiautomatic approach to increase efficiency in non-immersive virtual maintenance simulation implementation.
Design/methodology/approach
The methodology analyzes the general catalogs of common maintenance tasks and explores the corresponding secondary development approaches of simulation tools that can achieve motion simulation in virtual environments, by focusing on the diversity, complexity and uncertainty in non-immersive virtual simulation process generation. Afterward, a single virtual human motion can be generated by controlling the parameters and indices of the simulation tools. Subsequently, all of the generated single motions are connected logically to simulate the entire maintenance process.
Findings
Instead of selecting various tools, such as that in a traditional method, the proposed methodology analyzes and integrates the necessary basic parameters considering the characteristics of virtual maintenance simulation for a target maintenance activity.
Originality/value
The user can control the predefined parameters to generate the simulation combining several other simple operations in virtual environments. Consequently, the methodology decreases simulation tool selection and logic consideration and increases efficiency to a certain extent in non-immersive virtual maintenance simulation generation.
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Jin Zhang, Xinmai Li, Banggang Wu, Liying Zhou and Xiang Chen
A critical step in influencer marketing is influencer outreach, where a brand reaches out to an influencer and forms a partnership. Yet little is known about how factors related…
Abstract
Purpose
A critical step in influencer marketing is influencer outreach, where a brand reaches out to an influencer and forms a partnership. Yet little is known about how factors related to this process might influence the outcomes of sponsored posts. To address this gap, the authors investigated whether, how and when the order of influencers' product use and brand outreach (i.e. use/outreach order) affects post persuasiveness.
Design/methodology/approach
The authors conducted three experimental studies. Studies 1 and 2 examined the effect of disclosure type (use-first, outreach-later vs. outreach-first, use-later vs. no disclosure) on consumers' responses to the post. Study 3 investigated the moderating effects of compensation disclosure type.
Findings
The results revealed that when the influencer used the product before (vs. after) being contacted by the brand, consumers had more favorable attitudes about the product and greater purchase intention upon reading the sponsored posts; perceived information diagnosticity mediated this effect. However, this tendency was mitigated if the influencer disclosed the specific monetary payment from the brand.
Originality/value
This research advances understanding of sponsorship disclosure and provides a way to manage its impact on message persuasiveness.