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1 – 10 of 17Yi-Hsuan Lee, Chan Hsiao, Jingjing Weng and Yi-Hsuan Chen
This study examines whether relational capital influences self-disclosure behavior through the mechanism of needs-based motivation in virtual communities.
Abstract
Purpose
This study examines whether relational capital influences self-disclosure behavior through the mechanism of needs-based motivation in virtual communities.
Design/methodology/approach
This study adopts hierarchical linear model (HLM) to differentiate between the relationships at different levels, with 378 online questionnaires recovered from 42 virtual communities.
Findings
The results show that group-level relational capital is positively related to self-disclosure and affects it through the partially mediating mechanism of motivation. Relational capital also strengthens the positive influence of the need to be on trend on individual self-disclosure behavior.
Originality/value
This study makes four research contributions. Firstly, we identify the means by which relational capital established within a virtual community influences user disclosure behavior. This focus differs from those of previous studies, which have emphasized privacy and security of information systems, cost–benefit considerations, and/or adopted personality traits as the research basis. Secondly, this study examines and verifies the mediating mechanism of motivation, establishing an alternative perspective for theoretical studies, and providing future studies with a reference for investigating the self-disclosure behavior of members. Thirdly, this research introduces and verifies the moderating effects of relational capital based on member relationships, thus making further theoretical and empirical contributions. Finally, we adopt HLM to conduct our analyses, thereby ensuring higher precision regarding the explanatory power of group-level explanatory variables for individual-level dependent variables.
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Ya Qian, Wolfgang Härdle and Cathy Yi-Hsuan Chen
Interdependency among industries is vital for understanding economic structures and managing industrial portfolios. However, it is hard to precisely model the interconnecting…
Abstract
Purpose
Interdependency among industries is vital for understanding economic structures and managing industrial portfolios. However, it is hard to precisely model the interconnecting structure among industries. One of the reasons is that the interdependencies show a different pattern in tail events. This paper aims to investigate industry interdependency with the tail events.
Design/methodology/approach
General predictive model of Rapach et al. (2016) is extended to an interdependency model via least absolute shrinkage and selection operator quantile regression and network analysis. A dynamic network approach was applied on the Fama–French industry portfolios to study the time-varying interdependencies.
Findings
A denser network with heterogeneous central industries is found in tail cases. Significant interdependency varieties across time are shown under dynamic network analysis. Market volatility is identified as an influential factor of industry connectedness as well as clustering tendency under both normal and tail cases. Moreover, combining dynamic network with prediction direction information into out-of-sample industry return forecasting, a lower tail case is obtained, which gives the most accurate prediction of one-month forward returns. Finally, the Sharpe ratio criterion prefers high-centrality portfolios when tail risks are considered.
Originality/value
This study examines the industry portfolio interactions under the framework of network analysis and also takes into consideration tail risks. The combination of economic interpretation and statistical methodology helps in having a clear investigation of industry interdependency. Moreover, a new trading strategy based on network centrality seems profitable in our data sample.
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Andrija Mihoci, Michael Althof, Cathy Yi-Hsuan Chen and Wolfgang Karl Härdle
A systemic risk measure is proposed accounting for links and mutual dependencies between financial institutions utilizing tail event information. Financial Risk Meter (FRM) is…
Abstract
A systemic risk measure is proposed accounting for links and mutual dependencies between financial institutions utilizing tail event information. Financial Risk Meter (FRM) is based on least absolute shrinkage and selection operator quantile regression designed to capture tail event co-movements. The FRM focus lies on understanding active set data characteristics and the presentation of interdependencies in a network topology. Two FRM indices are presented, namely, FRM@Americas and FRM@Europe. The FRM indices detect systemic risk at selected areas and identify risk factors. In practice, FRM is applied to the return time series of selected financial institutions and macroeconomic risk factors. The authors identify companies exhibiting extreme “co-stress” as well as “activators” of stress. With the SRM@EuroArea, the authors extend to the government bond asset class, and to credit default swaps with FRM@iTraxx. FRM is a good predictor for recession probabilities, constituting the FRM-implied recession probabilities. Thereby, FRM indicates tail event behavior in a network of financial risk factors.
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Syuan-Yi Chen, Cheng-Yen Lee, Chien-Hsun Wu and Yi-Hsuan Hung
The purpose of this paper is to develop a proportional-integral-derivative-based fuzzy neural network (PIDFNN) with elitist bacterial foraging optimization (EBFO)-based optimal…
Abstract
Purpose
The purpose of this paper is to develop a proportional-integral-derivative-based fuzzy neural network (PIDFNN) with elitist bacterial foraging optimization (EBFO)-based optimal membership functions (PIDFNN-EBFO) position controller to control the voice coil motor (VCM) for tracking reference trajectory accurately.
Design/methodology/approach
Because the control characteristics of the VCM are highly nonlinear and time varying, a PIDFNN, which integrates adaptive PID control with fuzzy rules, is proposed to control the mover position of the VCM. Moreover, an EBFO algorithm is further proposed to find the initial optimal fuzzy membership functions for the PIDFNN controller.
Findings
Due to the gradient descent method used in back propagation (BP) to derive the on-line learning algorithm for the PIDFNN, it may reach the local optimal solution due to the inappropriate initial values. Hence, a hybrid learning method, which includes BP and EBFO algorithms, is proposed to improve the learning performance of the PIDFNN controller.
Research limitations/implications
Future work will consider reducing the computational burden of bacterial foraging optimization algorithm for on-line parameters optimization.
Practical implications
The real-time control system is implemented on a 32-bit floating-point digital signal processor (DSP). The experimental results demonstrate the favorable effectiveness of the proposed PIDFNN-EBFO controlled VCM system.
Originality/value
A new PIDFNN-EBFO control scheme is proposed and implemented via DSP for real-time VCM position control. The experimental results show the superior control performance of the proposed PIDFNN-EBFO compared with the other control systems.
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Yi-Hsuan Lee, Chan Hsiao and Yee-Chen Chen
This study aims to identify the driving forces of customer value co-creation (VCC) that occur through employee positive psychological capital (PPC), employee service-oriented…
Abstract
Purpose
This study aims to identify the driving forces of customer value co-creation (VCC) that occur through employee positive psychological capital (PPC), employee service-oriented organizational citizenship behavior (SOOCB) and customer brand experience (BE).
Design/methodology/approach
In total, 493 valid samples were retrieved from 30 hotels in Taiwan. Hierarchical linear modeling was used to extensively and accurately examine customer VCC from a cross-level perspective.
Findings
The results showed that employee PPC was not positively related to customer VCC, that employee PPC affected customer VCC indirectly through the mediating effect of employee SOOCB and that the relationship between employee SOOCB and customer VCC was positively moderated by customer BE.
Originality/value
First, this study investigated the customer VCC driving forces through the role of the employee, and thus advances the customer VCC field. Second, it identified employee SOOCB as a key mediating mechanism that links the indirect relationship between employee PPC and customer VCC. Third, it identified customer BE as a key moderating mechanism in the relationship between employee SOOCB and customer VCC. Fourth, regarding methodology, few studies investigate VCC through a cross-level approach. The present study used hierarchical linear modeling to extensively and accurately examine customer VCC and its cross-level relationships, thus providing greater research value compared with single-level analysis. Finally, the result findings suggest that organizational leaders should enhance the PPC of employees in furtherance of encouraging the employees to perform extra-role SOOCB, which makes customer co-creation behavior, and ultimately, contributes to managerial practice.
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Yi-Hsuan Lee, Ying-Che Hsieh, Chan Hsiao and Chen-Hsiang Lin
The purpose of this paper is to explore whether online leadership affects offline leadership through a mediation mechanism.
Abstract
Purpose
The purpose of this paper is to explore whether online leadership affects offline leadership through a mediation mechanism.
Design/methodology/approach
Drawing on social presence theory, the authors developed a mediation model of online leadership to offline leadership, and examine the moderating effect of interactivity. Data were collected through an internet questionnaire, with gamers in Taiwan’s leading forum as research targets. After receiving 912 valid questionnaires, the authors used SPSS 21 and AMOS 21 to conduct data analysis to test the model.
Findings
The results show that online leadership will affect offline leadership. Moreover, game achievements and character identification have partial mediated effects in this model. Finally, interactivity has a moderating effect in this model.
Practical implications
These findings provide insights for future leadership training effectiveness, training guidelines, game design, and selection of references.
Originality/value
This research extends the current state of knowledge about the paths to transfer online leadership experiences to office situations through direct influence, game achievement, and character identification.
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Chia-Lin Hsu, Yen-Chun Chen, Tai-Ning Yang, Wei-Ko Lin and Yi-Hsuan Liu
Unique product design is a highlight of sustainable branding. The purpose of this paper is to investigate whether product design affects customers’ psychological responses (i.e…
Abstract
Purpose
Unique product design is a highlight of sustainable branding. The purpose of this paper is to investigate whether product design affects customers’ psychological responses (i.e. cognitive and affective responses) to smartphones, and, in turn, affects their brand loyalty (i.e. attitudinal and behavioral brand loyalty), further advancing the knowledge of product design and brand management.
Design/methodology/approach
This work used survey data from 456 Taiwanese with experience using smartphone. Structural equation modeling was employed to test the proposed model and hypotheses.
Findings
The results indicate that the product design significantly affects both cognitive response and affective response, which, in turn, significantly affect both attitudinal brand loyalty and behavioral brand loyalty. The findings also suggest that the moderating effect of product involvement on the relationship between product design and affective response is statistically significant, although it does not positively and significantly moderate the link between product design and cognitive response.
Research limitations/implications
This study has two main limitations. First, this study was conducted in the context of smartphones, thus potentially constraining the generalization of the results to other industries. Second, the data in this study were obtained from a cross-sectional design.
Practical implications
These findings can permit companies to generate more brand loyalty in their customers and guide their management of assets and marketing activities.
Originality/value
This paper presents new insights into the nature and importance of product design in brand value.
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Yi-Hsuan Lee, Chan Hsiao, Hsin-Yi Chan and I-Chen Lee
The purpose of this paper is to answer the question of how brand-specific transformational leadership (TFL) and transactional leadership (TRL) enhance employee-based brand equity…
Abstract
Purpose
The purpose of this paper is to answer the question of how brand-specific transformational leadership (TFL) and transactional leadership (TRL) enhance employee-based brand equity (EBBE) by influencing employees’ perceived brand value congruence (EPBVC).
Design/methodology/approach
This study employed hierarchical linear modeling and chose moderating variables that are primarily related to the working environment: person–job fit (PJF) and person–group fit (PGF). The sample included managers and employees of the largest domestic bank in Taiwan.
Findings
Questionnaires were distributed to banking staff in the service industry. The results imply that both brand-specific TFL and brand-specific TRL require the mediation of PJF and PGF to influence EBBE, which then influences brand equity. Without these mediators, brand-specific TFL and brand-specific TRL have no effects on EBBE.
Originality/value
Compared to the results from other studies, these results imply a unique discovery that both brand-specific TFL and brand-specific TRL require the mediation of PJF and PGF to influence EPBVC, which in turn influences EBBE. Without these mediators, brand-specific TFL and brand-specific TRL do not have any effects.
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Yi Hsuan Lee, Chiou-Fong Wei, Bruce C. Y. Lee, Ya-Yun Cheng and Yao Chen
This study examines whether consumer brand engagement (CBE) can mitigate the negative effects of economic animosity (EA) on purchase intention (PI) and strengthen the positive…
Abstract
Purpose
This study examines whether consumer brand engagement (CBE) can mitigate the negative effects of economic animosity (EA) on purchase intention (PI) and strengthen the positive effect of country-of-origin (COO) on PI.
Design/methodology/approach
Using questionnaires distributed to 372 young Chinese adults, the study collected PI data for US products in the Chinese market. Partial least square structural equation modeling was adopted.
Findings
This study found a positive relationship between COO and CBE and a negative relationship between EA and CBE. CBE exhibits a partial mediating effect in the relationship between COO and PI and a full suppression effect on EA toward PI.
Research limitations/implications
This research is limited to China; future research could extend this framework to the United States.
Practical implications
This study contributes to relationship marketing knowledge. Furthermore, it provides new tools for multinational corporations to deploy their marketing strategies and avoid negative consequences stemming from the EA effect in the Chinese market following the US–China trade war.
Originality/value
This study is the first to extend COO and EA research to CBE discipline.
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